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GHOFRANEE
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Dataset_ocr_to_json

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You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[68.0, 8.0], [302.0, 4.0], [303.0, 35.0], [69.0, 39.0]], ('Hussar', 0.9973012804985046)], [[[551.0, 3.0], [811.0, 3.0], [811.0, 21.0], [551.0, 21.0]], ('JMOLM', 0.8557485342025757)], [[[69.0, 43.0], [214.0, 40.0], [214.0, 77.0], [70.0, 80.0]], ('idge', 0.9934173822402954)], [[[361.0, 68.0], [537.0, 62.0], [538.0, 90.0], [362.0, 96.0]], ('021 9140757', 0.9534973502159119)], [[[167.0, 115.0], [766.0, 96.0], [767.0, 132.0], [169.0, 151.0]], ('PRO-F0RMA INV0ICE200023459', 0.9344271421432495)], [[[360.0, 148.0], [524.0, 142.0], [525.0, 174.0], [361.0, 180.0]], ('#4630254789', 0.9955507516860962)], [[[49.0, 254.0], [712.0, 232.0], [714.0, 268.0], [50.0, 290.0]], ('TIME11/03/201812:38T014:19', 0.9711458683013916)], [[[651.0, 282.0], [861.0, 276.0], [862.0, 316.0], [653.0, 322.0]], ('TABLE:098', 0.9552839994430542)], [[[46.0, 299.0], [383.0, 292.0], [383.0, 332.0], [47.0, 339.0]], ('WAITER:DUMI 18)', 0.9189602732658386)], [[[633.0, 332.0], [836.0, 332.0], [836.0, 373.0], [633.0, 373.0]], ('COVERS:', 0.9367554783821106)], [[[839.0, 332.0], [862.0, 332.0], [862.0, 365.0], [839.0, 365.0]], ('3', 0.9972399473190308)], [[[46.0, 350.0], [228.0, 342.0], [230.0, 387.0], [48.0, 395.0]], ('T/Name:3', 0.9653434157371521)], [[[345.0, 439.0], [415.0, 439.0], [415.0, 488.0], [345.0, 488.0]], ('QTY', 0.9979280829429626)], [[[507.0, 438.0], [615.0, 434.0], [617.0, 478.0], [508.0, 482.0]], ('PRICE', 0.9987557530403137)], [[[755.0, 430.0], [863.0, 426.0], [865.0, 472.0], [757.0, 475.0]], ('VALUE', 0.9970860481262207)], [[[48.0, 445.0], [135.0, 445.0], [135.0, 492.0], [48.0, 492.0]], ('ITEM', 0.9973834753036499)], [[[387.0, 539.0], [419.0, 539.0], [419.0, 585.0], [387.0, 585.0]], ('2', 0.9922945499420166)], [[[514.0, 536.0], [616.0, 536.0], [616.0, 580.0], [514.0, 580.0]], ('18.00', 0.9959596395492554)], [[[754.0, 532.0], [864.0, 529.0], [865.0, 573.0], [755.0, 576.0]], ('36.00', 0.9969094395637512)], [[[50.0, 548.0], [252.0, 545.0], [252.0, 583.0], [51.0, 586.0]], ('200m1 Coke', 0.9569315910339355)], [[[394.0, 591.0], [416.0, 591.0], [416.0, 623.0], [394.0, 623.0]], ('1', 0.9908139109611511)], [[[496.0, 590.0], [615.0, 585.0], [617.0, 624.0], [498.0, 628.0]], ('145.00', 0.997230052947998)], [[[739.0, 583.0], [862.0, 583.0], [862.0, 621.0], [739.0, 621.0]], ('145.00', 0.9959353804588318)], [[[45.0, 595.0], [293.0, 592.0], [293.0, 624.0], [45.0, 627.0]], ('300g Sirloin', 0.9745340347290039)], [[[41.0, 635.0], [329.0, 635.0], [329.0, 671.0], [41.0, 671.0]], ('330m1 Crme So', 0.930659294128418)], [[[394.0, 633.0], [415.0, 633.0], [415.0, 668.0], [394.0, 668.0]], ('1', 0.9477897882461548)], [[[515.0, 633.0], [620.0, 633.0], [620.0, 672.0], [515.0, 672.0]], ('20.00', 0.9949377179145813)], [[[756.0, 632.0], [864.0, 629.0], [865.0, 669.0], [758.0, 672.0]], ('20.00', 0.9945992231369019)], [[[40.0, 685.0], [330.0, 685.0], [330.0, 721.0], [40.0, 721.0]], ('330m1 Sprite Z', 0.9282940626144409)], [[[394.0, 684.0], [415.0, 684.0], [415.0, 719.0], [394.0, 719.0]], ('1', 0.9512602686882019)], [[[515.0, 679.0], [623.0, 679.0], [623.0, 721.0], [515.0, 721.0]], ('20.00', 0.9974355697631836)], [[[760.0, 680.0], [870.0, 680.0], [870.0, 723.0], [760.0, 723.0]], ('20.00', 0.9979130029678345)], [[[35.0, 736.0], [289.0, 733.0], [289.0, 775.0], [36.0, 777.0]], ('500g Sirloin', 0.973191499710083)], [[[394.0, 735.0], [416.0, 735.0], [416.0, 772.0], [394.0, 772.0]], ('1', 0.9781899452209473)], [[[499.0, 732.0], [623.0, 732.0], [623.0, 775.0], [499.0, 775.0]], ('185.00', 0.9970104098320007)], [[[746.0, 732.0], [872.0, 729.0], [873.0, 772.0], [747.0, 775.0]], ('185.00', 0.9945831298828125)], [[[34.0, 790.0], [331.0, 785.0], [332.0, 825.0], [35.0, 830.0]], ('Chicken Roulad', 0.9685920476913452)], [[[394.0, 787.0], [416.0, 787.0], [416.0, 823.0], [394.0, 823.0]], ('1', 0.9912664294242859)], [[[502.0, 785.0], [625.0, 785.0], [625.0, 824.0], [502.0, 824.0]], ('125.00', 0.9964241981506348)], [[[750.0, 783.0], [877.0, 783.0], [877.0, 825.0], [750.0, 825.0]], ('125.00', 0.995502769947052)], [[[34.0, 843.0], [328.0, 840.0], [329.0, 877.0], [34.0, 880.0]], ('Gls y Love Cab', 0.8537920117378235)], [[[390.0, 837.0], [419.0, 837.0], [419.0, 879.0], [390.0, 879.0]], ('2', 0.9899299740791321)], [[[518.0, 836.0], [627.0, 836.0], [627.0, 879.0], [518.0, 879.0]], ('45.00', 0.9979900121688843)], [[[770.0, 835.0], [881.0, 835.0], [881.0, 877.0], [770.0, 877.0]], ('90.00', 0.9967700839042664)], [[[30.0, 895.0], [264.0, 892.0], [265.0, 933.0], [30.0, 936.0]], ('Lamb Shanks', 0.960871160030365)], [[[395.0, 891.0], [417.0, 891.0], [417.0, 931.0], [395.0, 931.0]], ('1', 0.9677757024765015)], [[[500.0, 891.0], [629.0, 888.0], [630.0, 932.0], [501.0, 935.0]], ('195.00', 0.996680498123169)], [[[757.0, 888.0], [885.0, 888.0], [885.0, 932.0], [757.0, 932.0]], ('195.00', 0.9975258708000183)], [[[26.0, 999.0], [447.0, 997.0], [447.0, 1043.0], [26.0, 1044.0]], ('BillTotal', 0.9885424375534058)], [[[631.0, 998.0], [889.0, 993.0], [889.0, 1038.0], [632.0, 1043.0]], ('816.00', 0.9982948899269104)], [[[25.0, 1113.0], [521.0, 1113.0], [521.0, 1159.0], [25.0, 1159.0]], ('Tax% (already included)', 0.9172199368476868)], [[[769.0, 1104.0], [901.0, 1104.0], [901.0, 1152.0], [769.0, 1152.0]], ('100.21', 0.994823694229126)]]
{"store_name": "", "store_addr": "", "telephone": "0219140757", "date": "11/03/2018", "time": "12:38TO14:19", "subtotal": "", "tax": "100.21", "total": "816.00", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "200mlCoke", "item_value": "36.00", "item_quantity": "1"}, {"item_key": "", "item_name": "300gSirloin", "item_value": "145.00", "item_quantity": "1"}, {"item_key": "", "item_name": "330mlCr\u0424meSo", "item_value": "20.00", "item_quantity": "1"}, {"item_key": "", "item_name": "330mlSpriteZ", "item_value": "20.00", "item_quantity": "1"}, {"item_key": "", "item_name": "500gSirloin", "item_value": "185.00", "item_quantity": "1"}, {"item_key": "", "item_name": "ChickenRoulad", "item_value": "125.00", "item_quantity": "1"}, {"item_key": "", "item_name": "GlsVLoveCab", "item_value": "90.00", "item_quantity": "1"}, {"item_key": "", "item_name": "LambShanks", "item_value": "195.00", "item_quantity": "1"}, {"item_key": "ITEM", "item_name": "", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[120.0, 87.0], [131.0, 87.0], [131.0, 94.0], [120.0, 94.0]], ('DEA', 0.777508556842804)], [[[134.0, 98.0], [162.0, 98.0], [162.0, 105.0], [134.0, 105.0]], ('CINEANO', 0.6060540080070496)], [[[143.0, 132.0], [177.0, 129.0], [177.0, 140.0], [144.0, 143.0]], ('A/A-AT0', 0.7013253569602966)], [[[74.0, 157.0], [147.0, 154.0], [148.0, 167.0], [75.0, 170.0]], ('HEP16/6/2014', 0.888730525970459)], [[[173.0, 153.0], [211.0, 153.0], [211.0, 164.0], [173.0, 164.0]], ('14-44-22', 0.8482654094696045)], [[[76.0, 166.0], [131.0, 166.0], [131.0, 177.0], [76.0, 177.0]], ('PAMEZIIA', 0.7159948348999023)], [[[174.0, 161.0], [233.0, 156.0], [234.0, 170.0], [175.0, 175.0]], ('2EPBEP81', 0.6467862129211426)], [[[70.0, 183.0], [96.0, 180.0], [97.0, 193.0], [71.0, 195.0]], ('E1802', 0.6930986046791077)], [[[151.0, 180.0], [175.0, 180.0], [175.0, 192.0], [151.0, 192.0]], ('1OSOT', 0.7112171649932861)], [[[182.0, 180.0], [204.0, 180.0], [204.0, 188.0], [182.0, 188.0]], ('ASIA', 0.9212099313735962)], [[[208.0, 177.0], [240.0, 177.0], [240.0, 187.0], [208.0, 187.0]], ('O.n.A.', 0.7430903911590576)], [[[238.0, 175.0], [264.0, 175.0], [264.0, 185.0], [238.0, 185.0]], ('EX', 0.6668704748153687)], [[[67.0, 201.0], [143.0, 197.0], [144.0, 211.0], [68.0, 215.0]], ('NEPO EMIA ILT', 0.7422155141830444)], [[[185.0, 193.0], [208.0, 193.0], [208.0, 208.0], [185.0, 208.0]], ('1,00', 0.9093198776245117)], [[[241.0, 192.0], [264.0, 192.0], [264.0, 204.0], [241.0, 204.0]], ('0.00', 0.8910355567932129)], [[[66.0, 211.0], [123.0, 207.0], [124.0, 221.0], [67.0, 225.0]], ('HY802500ML', 0.7731238603591919)], [[[242.0, 202.0], [266.0, 202.0], [266.0, 214.0], [242.0, 214.0]], ('0,00', 0.9132200479507446)], [[[64.0, 219.0], [149.0, 215.0], [150.0, 229.0], [65.0, 233.0]], ('AEMONASA E9A232', 0.8672012090682983)], [[[244.0, 211.0], [269.0, 211.0], [269.0, 223.0], [244.0, 223.0]], ('0.00', 0.9402339458465576)], [[[63.0, 231.0], [103.0, 229.0], [104.0, 240.0], [64.0, 242.0]], ('KPHTIKH', 0.9631229043006897)], [[[245.0, 222.0], [269.0, 220.0], [270.0, 232.0], [246.0, 234.0]], ('0.00', 0.9044514298439026)], [[[248.0, 231.0], [273.0, 231.0], [273.0, 243.0], [248.0, 243.0]], ('0,00', 0.8701016306877136)], [[[60.0, 250.0], [111.0, 248.0], [111.0, 261.0], [61.0, 263.0]], ('GETA MEAI', 0.8289965391159058)], [[[63.0, 241.0], [87.0, 241.0], [87.0, 252.0], [63.0, 252.0]], ('POAI', 0.7965713143348694)], [[[250.0, 241.0], [275.0, 241.0], [275.0, 253.0], [250.0, 253.0]], ('0.00', 0.9676342606544495)], [[[155.0, 254.0], [176.0, 254.0], [176.0, 271.0], [155.0, 271.0]], ('1.0', 0.9022242426872253)], [[[225.0, 252.0], [234.0, 252.0], [234.0, 265.0], [225.0, 265.0]], ('9', 0.9569852352142334)], [[[252.0, 252.0], [279.0, 252.0], [279.0, 265.0], [252.0, 265.0]], ('0.00', 0.8864219784736633)], [[[58.0, 262.0], [115.0, 259.0], [116.0, 272.0], [59.0, 275.0]], ('MEAITZANES', 0.9729496836662292)], [[[156.0, 268.0], [175.0, 268.0], [175.0, 279.0], [156.0, 279.0]], ('1.0', 0.9106314182281494)], [[[183.0, 264.0], [213.0, 264.0], [213.0, 279.0], [183.0, 279.0]], ('10,00', 0.9066041111946106)], [[[253.0, 262.0], [281.0, 262.0], [281.0, 276.0], [253.0, 276.0]], ('0.00', 0.9144240617752075)], [[[55.0, 273.0], [131.0, 270.0], [131.0, 283.0], [56.0, 286.0]], ('APNI TIAGYPTI', 0.8341060280799866)], [[[258.0, 286.0], [287.0, 286.0], [287.0, 301.0], [258.0, 301.0]], ('0.00', 0.9084939360618591)], [[[261.0, 299.0], [290.0, 299.0], [290.0, 314.0], [261.0, 314.0]], ('0.00', 0.8863126039505005)], [[[50.0, 311.0], [94.0, 308.0], [95.0, 322.0], [50.0, 325.0]], ('EKNTOSH', 0.8059676289558411)], [[[259.0, 311.0], [297.0, 311.0], [297.0, 341.0], [259.0, 341.0]], ('45,50', 0.9485647082328796)], [[[45.0, 321.0], [90.0, 321.0], [90.0, 349.0], [45.0, 349.0]], ('SYNONO', 0.840343713760376)], [[[117.0, 357.0], [224.0, 353.0], [225.0, 381.0], [118.0, 385.0]], ('AE EYXAPISTOYME', 0.8948679566383362)], [[[30.0, 423.0], [278.0, 416.0], [279.0, 432.0], [31.0, 439.0]], ('005 00000415 1406161441 FGG13000449', 0.9619408845901489)]]
{"store_name": "", "store_addr": "", "telephone": "", "date": "16/6/2014", "time": "14:44:22", "subtotal": "0.00", "tax": "", "total": "0.00", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "APNITIAOYPTI", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "0.00", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[127.0, 12.0], [349.0, 1.0], [350.0, 21.0], [128.0, 32.0]], ('Great Cakes...Good Food.', 0.9256305694580078)], [[[146.0, 33.0], [352.0, 24.0], [353.0, 43.0], [146.0, 51.0]], ('Simply The Place To Be', 0.927635908126831)], [[[167.0, 51.0], [321.0, 47.0], [322.0, 67.0], [167.0, 72.0]], ('PERMAS JAYA JUSCO', 0.9495962858200073)], [[[59.0, 117.0], [182.0, 117.0], [182.0, 137.0], [59.0, 137.0]], ('INVOICE', 0.9677047729492188)], [[[384.0, 110.0], [443.0, 110.0], [443.0, 137.0], [384.0, 137.0]], ('929', 0.999396562576294)], [[[53.0, 140.0], [184.0, 140.0], [184.0, 168.0], [53.0, 168.0]], ('Table #', 0.8841734528541565)], [[[421.0, 137.0], [446.0, 134.0], [449.0, 168.0], [424.0, 170.0]], ('2', 0.9934780597686768)], [[[46.0, 190.0], [161.0, 190.0], [161.0, 211.0], [46.0, 211.0]], ('Guests', 0.9922129511833191)], [[[429.0, 184.0], [452.0, 184.0], [452.0, 208.0], [429.0, 208.0]], ('6', 0.9899016618728638)], [[[63.0, 213.0], [236.0, 213.0], [236.0, 233.0], [63.0, 233.0]], ('2 GREEN TEA CHZ(S)', 0.8880968689918518)], [[[402.0, 209.0], [452.0, 206.0], [453.0, 230.0], [403.0, 232.0]], ('15.00', 0.9957195520401001)], [[[66.0, 238.0], [227.0, 238.0], [227.0, 256.0], [66.0, 256.0]], ('1 BAKED CHEESES', 0.9424088001251221)], [[[408.0, 233.0], [453.0, 230.0], [454.0, 253.0], [409.0, 256.0]], ('7.50', 0.995805025100708)], [[[63.0, 261.0], [207.0, 260.0], [208.0, 278.0], [64.0, 279.0]], ('2 ROYAL CHOCS', 0.9229952692985535)], [[[405.0, 258.0], [454.0, 258.0], [454.0, 277.0], [405.0, 277.0]], ('15.00', 0.9975290298461914)], [[[64.0, 283.0], [226.0, 282.0], [226.0, 303.0], [65.0, 304.0]], ('1BLACK FORESTS', 0.9664386510848999)], [[[410.0, 279.0], [456.0, 279.0], [456.0, 302.0], [410.0, 302.0]], ('7.50', 0.9962900280952454)], [[[63.0, 307.0], [247.0, 306.0], [247.0, 326.0], [64.0, 327.0]], ('1 FRUITILICIOUS (S)', 0.8914095163345337)], [[[404.0, 304.0], [456.0, 304.0], [456.0, 325.0], [404.0, 325.0]], ('10.00', 0.9951205253601074)], [[[65.0, 330.0], [182.0, 330.0], [182.0, 351.0], [65.0, 351.0]], ('1MILK SHAKE', 0.9632839560508728)], [[[412.0, 327.0], [456.0, 327.0], [456.0, 350.0], [412.0, 350.0]], ('8.80', 0.9959522485733032)], [[[64.0, 355.0], [230.0, 353.0], [230.0, 373.0], [65.0, 375.0]], ('1 SMARTIES TREATS', 0.9468672275543213)], [[[412.0, 351.0], [456.0, 351.0], [456.0, 374.0], [412.0, 374.0]], ('7.90', 0.9945296049118042)], [[[63.0, 379.0], [295.0, 377.0], [295.0, 396.0], [64.0, 398.0]], ('2 FRESH WATERMELON JUICE', 0.9287728667259216)], [[[408.0, 376.0], [456.0, 376.0], [456.0, 396.0], [408.0, 396.0]], ('15.00', 0.9924823641777039)], [[[62.0, 403.0], [266.0, 401.0], [266.0, 419.0], [63.0, 421.0]], ('1 GREEN APPLE KASTURI', 0.9448798298835754)], [[[415.0, 398.0], [460.0, 398.0], [460.0, 420.0], [415.0, 420.0]], ('7.50', 0.9929585456848145)], [[[58.0, 426.0], [258.0, 423.0], [258.0, 444.0], [58.0, 446.0]], ('1 ICED CARAMEL LATTE', 0.9278061985969543)], [[[417.0, 421.0], [464.0, 421.0], [464.0, 444.0], [417.0, 444.0]], ('8.80', 0.9970471262931824)], [[[73.0, 474.0], [186.0, 474.0], [186.0, 495.0], [73.0, 495.0]], ('10%SERVICE', 0.9970217943191528)], [[[414.0, 469.0], [472.0, 469.0], [472.0, 495.0], [414.0, 495.0]], ('10.30', 0.9948258399963379)], [[[67.0, 500.0], [185.0, 500.0], [185.0, 522.0], [67.0, 522.0]], ('6%GOVT TAX', 0.9644319415092468)], [[[425.0, 497.0], [473.0, 497.0], [473.0, 521.0], [425.0, 521.0]], ('6.18', 0.9959380030632019)], [[[33.0, 525.0], [117.0, 528.0], [115.0, 571.0], [31.0, 568.0]], ('13 Total', 0.9461675882339478)], [[[408.0, 524.0], [478.0, 524.0], [478.0, 569.0], [408.0, 569.0]], ('119.50', 0.915410578250885)], [[[63.0, 570.0], [148.0, 570.0], [148.0, 594.0], [63.0, 594.0]], ('SUBTOTAL', 0.9958382844924927)], [[[411.0, 569.0], [478.0, 569.0], [478.0, 594.0], [411.0, 594.0]], ('103.00', 0.9956963062286377)], [[[61.0, 624.0], [150.0, 626.0], [149.0, 652.0], [60.0, 649.0]], ('Tendered', 0.9972177743911743)], [[[413.0, 625.0], [481.0, 625.0], [481.0, 650.0], [413.0, 650.0]], ('120.00', 0.9934794306755066)], [[[14.0, 654.0], [106.0, 654.0], [106.0, 700.0], [14.0, 700.0]], ('CASH', 0.9984798431396484)], [[[348.0, 657.0], [481.0, 654.0], [482.0, 699.0], [349.0, 702.0]], ('119.50', 0.9958359599113464)], [[[61.0, 702.0], [124.0, 702.0], [124.0, 719.0], [61.0, 719.0]], ('CHANGE', 0.9882979393005371)]]
{"store_name": "", "store_addr": "", "telephone": "", "date": "", "time": "", "subtotal": "103.00", "tax": "6.18", "total": "119.50", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "GREENTEACHZ(S)", "item_value": "15.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BAKEDCHEESE(S)", "item_value": "7.50", "item_quantity": "1"}, {"item_key": "", "item_name": "ROYALCHOC(S)", "item_value": "15.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BLACKFOREST(S)", "item_value": "7.50", "item_quantity": "1"}, {"item_key": "", "item_name": "FRUITILICIOUS(S)", "item_value": "10.00", "item_quantity": "1"}, {"item_key": "", "item_name": "MILKSHAKE", "item_value": "8.80", "item_quantity": "1"}, {"item_key": "", "item_name": "SMARTIESTREATS", "item_value": "7.90", "item_quantity": "1"}, {"item_key": "", "item_name": "FRESHWATERMELONJUICE", "item_value": "15.00", "item_quantity": "1"}, {"item_key": "", "item_name": "GREENAPPLEKASTURI", "item_value": "7.50", "item_quantity": "1"}, {"item_key": "", "item_name": "ICEDCARAMELLATTE", "item_value": "8.80", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[403.0, 118.0], [756.0, 124.0], [756.0, 159.0], [402.0, 154.0]], ("ZANOTTO'SMARKET", 0.9606960415840149)], [[[384.0, 163.0], [778.0, 169.0], [778.0, 202.0], [383.0, 196.0]], ('1421FOXWORTHY AVE', 0.904579222202301)], [[[448.0, 207.0], [717.0, 210.0], [716.0, 247.0], [447.0, 244.0]], ('408-264-0103', 0.9945659041404724)], [[[891.0, 294.0], [990.0, 294.0], [990.0, 339.0], [891.0, 339.0]], ('LISA', 0.9991292357444763)], [[[155.0, 339.0], [725.0, 345.0], [725.0, 378.0], [155.0, 372.0]], ('0003020201487807/18/10', 0.9863067269325256)], [[[706.0, 342.0], [986.0, 345.0], [986.0, 382.0], [706.0, 379.0]], ('9:58am201', 0.9625973105430603)], [[[172.0, 383.0], [422.0, 386.0], [421.0, 423.0], [171.0, 420.0]], ('12/$4.00', 0.9954558610916138)], [[[149.0, 427.0], [487.0, 431.0], [487.0, 468.0], [148.0, 464.0]], ('$STRAWBERRIES', 0.9817026853561401)], [[[762.0, 430.0], [879.0, 430.0], [879.0, 470.0], [762.0, 470.0]], ('$2.00', 0.9971026182174683)], [[[963.0, 431.0], [991.0, 431.0], [991.0, 468.0], [963.0, 468.0]], ('F', 0.9922109842300415)], [[[173.0, 474.0], [575.0, 475.0], [575.0, 508.0], [173.0, 507.0]], ('COUPON (STRAWBERRY', 0.9565449953079224)], [[[762.0, 475.0], [989.0, 475.0], [989.0, 513.0], [762.0, 513.0]], ('$2.00-SC F', 0.8931070566177368)], [[[193.0, 515.0], [647.0, 516.0], [647.0, 555.0], [193.0, 553.0]], ('1.211b@$0.79/1b', 0.9195982217788696)], [[[141.0, 560.0], [514.0, 554.0], [514.0, 596.0], [142.0, 602.0]], ('$YELLOW ONIONS', 0.9640749096870422)], [[[762.0, 563.0], [881.0, 563.0], [881.0, 607.0], [762.0, 607.0]], ('$0.96', 0.9954578280448914)], [[[963.0, 563.0], [995.0, 563.0], [995.0, 605.0], [963.0, 605.0]], ('F', 0.9866390228271484)], [[[281.0, 689.0], [578.0, 695.0], [577.0, 732.0], [280.0, 726.0]], ('ITEM SUBTOTAL', 0.9682043790817261)], [[[809.0, 702.0], [927.0, 702.0], [927.0, 741.0], [809.0, 741.0]], ('$2.96', 0.9936468005180359)], [[[162.0, 732.0], [581.0, 739.0], [580.0, 781.0], [162.0, 774.0]], ('STORE COUPON TOTAL', 0.9486109614372253)], [[[809.0, 747.0], [976.0, 742.0], [977.0, 785.0], [810.0, 790.0]], ('$2.00-S', 0.9782449007034302)], [[[394.0, 779.0], [584.0, 787.0], [582.0, 830.0], [392.0, 822.0]], ('SUBTOTAL', 0.9968081116676331)], [[[809.0, 793.0], [928.0, 789.0], [929.0, 833.0], [810.0, 836.0]], ('$0.96', 0.9175039529800415)], [[[462.0, 826.0], [585.0, 831.0], [583.0, 876.0], [460.0, 871.0]], ('TOTAL', 0.9984172582626343)], [[[811.0, 839.0], [932.0, 839.0], [932.0, 883.0], [811.0, 883.0]], ('$0.96', 0.9752030372619629)], [[[485.0, 921.0], [588.0, 924.0], [586.0, 970.0], [484.0, 966.0]], ('CASH', 0.9982650876045227)], [[[813.0, 931.0], [934.0, 931.0], [934.0, 975.0], [813.0, 975.0]], ('$1.00', 0.9977184534072876)], [[[439.0, 969.0], [583.0, 974.0], [581.0, 1019.0], [437.0, 1014.0]], ('CHANGE', 0.998001754283905)], [[[815.0, 979.0], [937.0, 979.0], [937.0, 1024.0], [815.0, 1024.0]], ('$0.04', 0.9969704747200012)], [[[149.0, 1062.0], [463.0, 1068.0], [462.0, 1111.0], [148.0, 1105.0]], ('#OF ITEMS:2', 0.8940714001655579)], [[[320.0, 1165.0], [837.0, 1173.0], [836.0, 1210.0], [319.0, 1203.0]], ('THANK YOU FOR SHOPPING', 0.9395552277565002)]]
{"store_name": "ZANOTTO\u2032SMARKET", "store_addr": "1421FOXWORTHYAVE", "telephone": "408-264-0103", "date": "07/18/10", "time": "9:58am", "subtotal": "$0.96", "tax": "", "total": "$0.96", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "STRAWBERRIES", "item_value": "$2.00", "item_quantity": "1"}, {"item_key": "", "item_name": "YELLOWONIONS", "item_value": "$0.96", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[193.0, 68.0], [921.0, 72.0], [921.0, 205.0], [192.0, 201.0]], ('Walmart', 0.995174765586853)], [[[194.0, 232.0], [936.0, 232.0], [936.0, 282.0], [194.0, 282.0]], ('Save money.Live better.', 0.9585246443748474)], [[[451.0, 370.0], [916.0, 368.0], [916.0, 408.0], [451.0, 410.0]], ('732922-8084', 0.9726733565330505)], [[[367.0, 422.0], [993.0, 422.0], [993.0, 460.0], [367.0, 460.0]], ('HANAGER HAROLD RODRIGUEZ', 0.9526610374450684)], [[[419.0, 472.0], [918.0, 473.0], [918.0, 513.0], [419.0, 512.0]], ('3575STATE ROUTE66', 0.93115234375)], [[[475.0, 527.0], [862.0, 527.0], [862.0, 562.0], [475.0, 562.0]], ('HEPT0NEJ7753', 0.8726350665092468)], [[[176.0, 573.0], [929.0, 575.0], [929.0, 615.0], [176.0, 613.0]], ('ST51420P00002362TE06', 0.9637435674667358)], [[[910.0, 575.0], [1179.0, 575.0], [1179.0, 615.0], [910.0, 615.0]], ('TR#06621', 0.9502155780792236)], [[[176.0, 627.0], [414.0, 627.0], [414.0, 667.0], [176.0, 667.0]], ('3LB.UBB', 0.8945949673652649)], [[[525.0, 623.0], [896.0, 623.0], [896.0, 668.0], [525.0, 668.0]], ('007990000169F', 0.9935629963874817)], [[[1025.0, 623.0], [1189.0, 623.0], [1189.0, 670.0], [1025.0, 670.0]], ('9.980', 0.9979273676872253)], [[[176.0, 678.0], [336.0, 678.0], [336.0, 720.0], [176.0, 720.0]], ('6U ORG', 0.6670823693275452)], [[[528.0, 678.0], [895.0, 678.0], [895.0, 718.0], [528.0, 718.0]], ('007874211212F', 0.9803394079208374)], [[[1026.0, 673.0], [1191.0, 673.0], [1191.0, 720.0], [1026.0, 720.0]], ('4.080', 0.9976293444633484)], [[[174.0, 728.0], [281.0, 728.0], [281.0, 772.0], [174.0, 772.0]], ('OATS', 0.9174825549125671)], [[[530.0, 732.0], [893.0, 732.0], [893.0, 767.0], [530.0, 767.0]], ('088392111842F', 0.9901895523071289)], [[[1028.0, 725.0], [1158.0, 725.0], [1158.0, 772.0], [1028.0, 772.0]], ('1.74', 0.9945884346961975)], [[[1148.0, 727.0], [1186.0, 727.0], [1186.0, 767.0], [1148.0, 767.0]], ('H', 0.8175811171531677)], [[[173.0, 782.0], [533.0, 782.0], [533.0, 822.0], [173.0, 822.0]], ('LF ORG PLAIN', 0.8690094947814941)], [[[518.0, 780.0], [895.0, 778.0], [895.0, 818.0], [518.0, 820.0]], ('005215905000 F', 0.9592331647872925)], [[[1026.0, 775.0], [1191.0, 775.0], [1191.0, 823.0], [1026.0, 823.0]], ('3.480', 0.9945855140686035)], [[[174.0, 833.0], [893.0, 830.0], [893.0, 870.0], [174.0, 873.0]], ('SU0R UH HLK 007874206627F', 0.8849361538887024)], [[[1026.0, 827.0], [1192.0, 827.0], [1192.0, 875.0], [1026.0, 875.0]], ('6.180', 0.9884672164916992)], [[[658.0, 878.0], [868.0, 878.0], [868.0, 923.0], [658.0, 923.0]], ('SUBTOTAL', 0.9968656897544861)], [[[1002.0, 878.0], [1135.0, 878.0], [1135.0, 925.0], [1002.0, 925.0]], ('25.46', 0.9960025548934937)], [[[735.0, 932.0], [868.0, 932.0], [868.0, 978.0], [735.0, 978.0]], ('TOTAL', 0.9988166093826294)], [[[1002.0, 930.0], [1136.0, 930.0], [1136.0, 978.0], [1002.0, 978.0]], ('25.46', 0.9953811764717102)], [[[602.0, 983.0], [714.0, 983.0], [714.0, 1032.0], [602.0, 1032.0]], ('UISA', 0.8744797706604004)], [[[755.0, 983.0], [872.0, 983.0], [872.0, 1032.0], [755.0, 1032.0]], ('TEND', 0.9820572733879089)], [[[1002.0, 983.0], [1136.0, 983.0], [1136.0, 1030.0], [1002.0, 1030.0]], ('25.46', 0.9819256663322449)], [[[168.0, 1095.0], [416.0, 1091.0], [416.0, 1136.0], [168.0, 1140.0]], ('ACCOUNT ', 0.8711751103401184)], [[[604.0, 1092.0], [1112.0, 1092.0], [1112.0, 1132.0], [604.0, 1132.0]], ('*******9425', 0.8468223810195923)], [[[1163.0, 1093.0], [1191.0, 1093.0], [1191.0, 1130.0], [1163.0, 1130.0]], ('S', 0.8674413561820984)], [[[164.0, 1148.0], [626.0, 1143.0], [627.0, 1188.0], [165.0, 1193.0]], ('APPR0UAL02524B', 0.9127235412597656)], [[[164.0, 1205.0], [389.0, 1201.0], [390.0, 1241.0], [165.0, 1245.0]], ('REF00', 0.8798125386238098)], [[[163.0, 1255.0], [894.0, 1248.0], [895.0, 1293.0], [163.0, 1300.0]], ('TRANS I0 -0082129014568555', 0.9118436574935913)], [[[163.0, 1310.0], [626.0, 1303.0], [627.0, 1348.0], [163.0, 1355.0]], ('VALIDATION -TDU4', 0.8265352845191956)], [[[163.0, 1363.0], [679.0, 1360.0], [679.0, 1400.0], [163.0, 1403.0]], ('PATHEHT SERUICE -E', 0.8819542527198792)], [[[164.0, 1418.0], [677.0, 1413.0], [678.0, 1453.0], [165.0, 1458.0]], ('TEHI8L17001579', 0.906833827495575)], [[[382.0, 1518.0], [600.0, 1518.0], [600.0, 1570.0], [382.0, 1570.0]], ('05/07/12', 0.9941834211349487)], [[[737.0, 1517.0], [956.0, 1517.0], [956.0, 1568.0], [737.0, 1568.0]], ('20:24:17', 0.9518486261367798)]]
{"store_name": "Walmart", "store_addr": "3575STATEROUTE66 NEPTUNENJ7753", "telephone": "(732)922-8084", "date": "05/07/12", "time": "20:24:17", "subtotal": "25.46", "tax": "", "total": "25.46 25.46", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "3LB.WBB", "item_value": "9.98", "item_quantity": "1"}, {"item_key": "", "item_name": "GVORG", "item_value": "4.08", "item_quantity": "1"}, {"item_key": "", "item_name": "OATS", "item_value": "1.74", "item_quantity": "1"}, {"item_key": "", "item_name": "LFORGPLAIN", "item_value": "3.48", "item_quantity": "1"}, {"item_key": "", "item_name": "GVORWHWLK", "item_value": "6.18", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[123.0, 1.0], [194.0, 5.0], [193.0, 22.0], [122.0, 17.0]], ('510/923-0327', 0.9947223663330078)], [[[37.0, 27.0], [116.0, 29.0], [115.0, 44.0], [36.0, 41.0]], ('ServerSarah', 0.9813482761383057)], [[[37.0, 42.0], [58.0, 42.0], [58.0, 57.0], [37.0, 57.0]], ('5/1', 0.9984175562858582)], [[[220.0, 35.0], [277.0, 35.0], [277.0, 48.0], [220.0, 48.0]], ('12/16/2012', 0.9943985939025879)], [[[36.0, 55.0], [95.0, 58.0], [95.0, 72.0], [35.0, 70.0]], ('Guests:1', 0.9399194121360779)], [[[237.0, 49.0], [279.0, 49.0], [279.0, 64.0], [237.0, 64.0]], ('1:54PM', 0.8515670299530029)], [[[36.0, 70.0], [111.0, 72.0], [110.0, 87.0], [35.0, 85.0]], ('Reprint #1', 0.9040077924728394)], [[[247.0, 63.0], [278.0, 63.0], [278.0, 77.0], [247.0, 77.0]], ('10005', 0.9985105395317078)], [[[34.0, 96.0], [184.0, 101.0], [183.0, 118.0], [33.0, 113.0]], ('Pliny the Elder 3 @7.00', 0.9169466495513916)], [[[247.0, 103.0], [280.0, 103.0], [280.0, 118.0], [247.0, 118.0]], ('21.00', 0.994179368019104)], [[[36.0, 113.0], [65.0, 113.0], [65.0, 127.0], [36.0, 127.0]], ('Coke', 0.9968924522399902)], [[[35.0, 125.0], [129.0, 129.0], [128.0, 144.0], [34.0, 140.0]], ('Side Mac n Chee', 0.9313064813613892)], [[[253.0, 118.0], [279.0, 118.0], [279.0, 130.0], [253.0, 130.0]], ('2.00', 0.9973739385604858)], [[[253.0, 130.0], [281.0, 130.0], [281.0, 144.0], [253.0, 144.0]], ('4.95', 0.9950485229492188)], [[[35.0, 140.0], [110.0, 142.0], [109.0, 156.0], [34.0, 154.0]], ('Cheeseburger', 0.9963159561157227)], [[[251.0, 142.0], [282.0, 142.0], [282.0, 157.0], [251.0, 157.0]], ('12.00', 0.9950464367866516)], [[[47.0, 156.0], [106.0, 156.0], [106.0, 170.0], [47.0, 170.0]], ('Add Bacon', 0.9729825258255005)], [[[47.0, 170.0], [130.0, 170.0], [130.0, 184.0], [47.0, 184.0]], ('add CCC fries', 0.9289045333862305)], [[[257.0, 169.0], [286.0, 169.0], [286.0, 184.0], [257.0, 184.0]], ('2.00', 0.9824480414390564)], [[[46.0, 185.0], [130.0, 185.0], [130.0, 199.0], [46.0, 199.0]], ('add CCC fries', 0.9383594989776611)], [[[36.0, 200.0], [110.0, 200.0], [110.0, 214.0], [36.0, 214.0]], ('Cheeseburger', 0.9964995384216309)], [[[257.0, 196.0], [289.0, 196.0], [289.0, 211.0], [257.0, 211.0]], ('12.50', 0.9954737424850464)], [[[44.0, 215.0], [106.0, 215.0], [106.0, 228.0], [44.0, 228.0]], ('Add Bacon', 0.9544810056686401)], [[[44.0, 227.0], [130.0, 227.0], [130.0, 244.0], [44.0, 244.0]], ('sub Curly Fry', 0.9099376201629639)], [[[31.0, 243.0], [129.0, 241.0], [130.0, 258.0], [31.0, 260.0]], ('Kid\\nMac&Cheese', 0.9913045167922974)], [[[266.0, 238.0], [294.0, 238.0], [294.0, 254.0], [266.0, 254.0]], ('5.50', 0.9882897734642029)], [[[31.0, 260.0], [160.0, 257.0], [160.0, 272.0], [31.0, 275.0]], ('Kids Chicken Fingers', 0.9652589559555054)], [[[268.0, 254.0], [297.0, 254.0], [297.0, 270.0], [268.0, 270.0]], ('5.95', 0.9686198234558105)], [[[30.0, 278.0], [129.0, 274.0], [130.0, 288.0], [31.0, 292.0]], ('Vietnamese Tofu', 0.9630445837974548)], [[[270.0, 270.0], [299.0, 270.0], [299.0, 286.0], [270.0, 286.0]], ('7.95', 0.9872153997421265)], [[[29.0, 293.0], [209.0, 287.0], [210.0, 302.0], [30.0, 309.0]], ('Sma11 Orange Juice 2 @2.00', 0.905971884727478)], [[[272.0, 286.0], [301.0, 286.0], [301.0, 301.0], [272.0, 301.0]], ('4.00', 0.9948375225067139)], [[[29.0, 324.0], [85.0, 324.0], [85.0, 342.0], [29.0, 342.0]], ('Subtotal', 0.9952291250228882)], [[[268.0, 316.0], [304.0, 316.0], [304.0, 334.0], [268.0, 334.0]], ('77.85', 0.9891284704208374)], [[[273.0, 335.0], [303.0, 332.0], [304.0, 347.0], [275.0, 347.0]], ('6.81', 0.9898106455802917)]]
{"store_name": "", "store_addr": "", "telephone": "510/923-0327", "date": "12/16/2012", "time": "1:54PM", "subtotal": "77.85", "tax": "6.81", "total": "", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "SmallOrangeJuice", "item_value": "21.00", "item_quantity": "1"}, {"item_key": "", "item_name": "VietnameseTofu", "item_value": "2.00", "item_quantity": "1"}, {"item_key": "", "item_name": "KidsChickenFingers", "item_value": "4.95", "item_quantity": "1"}, {"item_key": "", "item_name": "Kid\\nMac&Cheese", "item_value": "12.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Cheeseburger", "item_value": "2.00", "item_quantity": "1"}, {"item_key": "", "item_name": "addCCCfries", "item_value": "12.50", "item_quantity": "1"}, {"item_key": "", "item_name": "addCCCfries", "item_value": "5.50", "item_quantity": "1"}, {"item_key": "", "item_name": "AddBacon", "item_value": "5.95", "item_quantity": "1"}, {"item_key": "", "item_name": "Cheeseburger", "item_value": "7.95", "item_quantity": "1"}, {"item_key": "", "item_name": "SideMacnChee", "item_value": "4.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Coke", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "PlinytheElder", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[104.0, 2.0], [215.0, 2.0], [215.0, 15.0], [104.0, 15.0]], ('Carmichael CarWash', 0.9540150165557861)], [[[98.0, 14.0], [218.0, 15.0], [217.0, 29.0], [98.0, 28.0]], ('6505 Fa1r 0aks B1vd', 0.8608826994895935)], [[[95.0, 28.0], [220.0, 29.0], [219.0, 43.0], [95.0, 41.0]], ('Carmichae1CA 95608', 0.9304158687591553)], [[[118.0, 41.0], [197.0, 44.0], [196.0, 57.0], [118.0, 55.0]], ('916-488-3274', 0.9898518919944763)], [[[106.0, 59.0], [211.0, 59.0], [211.0, 73.0], [106.0, 73.0]], ('7/18/20168:10AM', 0.9637061953544617)], [[[67.0, 92.0], [254.0, 88.0], [254.0, 104.0], [67.0, 108.0]], ('YOUR MANAGER TODAY IS:Edgar R', 0.9306692481040955)], [[[124.0, 122.0], [198.0, 122.0], [198.0, 148.0], [124.0, 148.0]], ('T31232', 0.9990942478179932)], [[[70.0, 176.0], [192.0, 174.0], [192.0, 188.0], [70.0, 190.0]], ('1PREMIUM EXPRESS10', 0.9402500987052917)], [[[275.0, 175.0], [311.0, 175.0], [311.0, 190.0], [275.0, 190.0]], ('$9.99', 0.9970817565917969)], [[[71.0, 192.0], [241.0, 189.0], [241.0, 203.0], [71.0, 206.0]], ('1 UNLIMITED PREMIUM WASH CASH', 0.9447388052940369)], [[[264.0, 188.0], [311.0, 190.0], [310.0, 208.0], [263.0, 205.0]], ('$9.99', 0.9955236315727234)], [[[158.0, 217.0], [211.0, 221.0], [210.0, 236.0], [157.0, 232.0]], ('SUBTOTAL:', 0.9828668236732483)], [[[158.0, 231.0], [195.0, 235.0], [194.0, 250.0], [157.0, 246.0]], ('TAXES:', 0.9795312285423279)], [[[275.0, 222.0], [310.0, 222.0], [310.0, 236.0], [275.0, 236.0]], ('$0.00', 0.9979551434516907)], [[[158.0, 246.0], [197.0, 250.0], [196.0, 264.0], [157.0, 261.0]], ('TOTAL:', 0.9744565486907959)], [[[275.0, 237.0], [309.0, 237.0], [309.0, 252.0], [275.0, 252.0]], ('$0.00', 0.9987481832504272)], [[[275.0, 251.0], [309.0, 251.0], [309.0, 266.0], [275.0, 266.0]], ('$0.00', 0.9977520108222961)], [[[159.0, 261.0], [213.0, 264.0], [212.0, 279.0], [158.0, 276.0]], ('TENDERED:', 0.9838050007820129)], [[[275.0, 266.0], [308.0, 266.0], [308.0, 281.0], [275.0, 281.0]], ('$0.00', 0.997601330280304)], [[[159.0, 277.0], [224.0, 280.0], [223.0, 295.0], [158.0, 291.0]], ('CHANGE DUE:', 0.9287137389183044)], [[[274.0, 280.0], [308.0, 280.0], [308.0, 295.0], [274.0, 295.0]], ('$0.00', 0.9957177042961121)], [[[86.0, 319.0], [248.0, 321.0], [248.0, 336.0], [86.0, 334.0]], ('Please Save Your Receipt for', 0.9524051547050476)], [[[39.0, 336.0], [85.0, 336.0], [85.0, 347.0], [39.0, 347.0]], ('Rewash.', 0.8804776072502136)], [[[81.0, 337.0], [142.0, 337.0], [142.0, 347.0], [81.0, 347.0]], ('Rain Check', 0.9522349238395691)]]
{"store_name": "CarmichaelCarwash", "store_addr": "6505FairOaksBlvd Carmichael,CA95608", "telephone": "916-488-3274", "date": "7/18/2016", "time": "8:10AM", "subtotal": "$0.00", "tax": "$0.00", "total": "$0.00", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "PREMIUMEXPRESS(10)", "item_value": "$9.99", "item_quantity": "1"}, {"item_key": "", "item_name": "UNLIMITEDPREMIUMWASHCASH", "item_value": "($9.99)", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[76.0, 63.0], [203.0, 61.0], [203.0, 76.0], [76.0, 77.0]], ('MPH BOF', 0.8557429909706116)], [[[202.0, 62.0], [235.0, 62.0], [235.0, 74.0], [202.0, 74.0]], ('RES', 0.7193117141723633)], [[[55.0, 76.0], [247.0, 74.0], [247.0, 89.0], [55.0, 91.0]], ('SDNBHD448-M', 0.8456007242202759)], [[[86.0, 90.0], [221.0, 90.0], [221.0, 103.0], [86.0, 103.0]], ('Giant Stadiu Shah Alam', 0.9447195529937744)], [[[59.0, 105.0], [253.0, 103.0], [253.0, 118.0], [59.0, 120.0]], ('Tel03-55118978 Fax03-55118976', 0.9632135033607483)], [[[44.0, 135.0], [129.0, 135.0], [129.0, 149.0], [44.0, 149.0]], ('PSIKOLOGI CINTA', 0.9691260457038879)], [[[44.0, 150.0], [198.0, 150.0], [198.0, 164.0], [44.0, 164.0]], ('9789833372836[BUKU]119.00', 0.947593092918396)], [[[239.0, 148.0], [273.0, 148.0], [273.0, 162.0], [239.0, 162.0]], ('19.00', 0.9793923497200012)], [[[43.0, 165.0], [203.0, 165.0], [203.0, 178.0], [43.0, 178.0]], ('TIP MENJADI INDIVIDU MENARIK', 0.9264191389083862)], [[[43.0, 179.0], [197.0, 179.0], [197.0, 193.0], [43.0, 193.0]], ('9789833372140[BUKU] 1x22.50', 0.9325947165489197)], [[[239.0, 177.0], [273.0, 177.0], [273.0, 193.0], [239.0, 193.0]], ('22.50', 0.9814011454582214)], [[[43.0, 194.0], [214.0, 194.0], [214.0, 207.0], [43.0, 207.0]], ('CHICKEN SOUP FOR THE SOUL:BER', 0.9244269728660583)], [[[43.0, 210.0], [211.0, 210.0], [211.0, 221.0], [43.0, 221.0]], ('FIKIR POSITIF EDISI BAHASA ME', 0.9179982542991638)], [[[42.0, 224.0], [197.0, 224.0], [197.0, 238.0], [42.0, 238.0]], ('9789673691449[BUKU]127.00', 0.9400179982185364)], [[[238.0, 223.0], [271.0, 223.0], [271.0, 239.0], [238.0, 239.0]], ('27.00', 0.9855145215988159)], [[[41.0, 239.0], [212.0, 239.0], [212.0, 252.0], [41.0, 252.0]], ('AL-QURAN TAJWID DAN TERJEMAHNY', 0.926047146320343)], [[[41.0, 254.0], [110.0, 254.0], [110.0, 266.0], [41.0, 266.0]], ('AZIP8X12', 0.9466950297355652)], [[[40.0, 269.0], [189.0, 269.0], [189.0, 282.0], [40.0, 282.0]], ('110000961277[BUKU]1x30.00', 0.9205688238143921)], [[[238.0, 269.0], [271.0, 269.0], [271.0, 283.0], [238.0, 283.0]], ('30.00', 0.9784881472587585)], [[[39.0, 283.0], [199.0, 283.0], [199.0, 297.0], [39.0, 297.0]], ('ACURA 2SMH COLOUR PAPER CLIP', 0.8870746493339539)], [[[38.0, 298.0], [114.0, 298.0], [114.0, 312.0], [38.0, 312.0]], ('9555183800516', 0.9965816736221313)], [[[149.0, 298.0], [189.0, 298.0], [189.0, 314.0], [149.0, 314.0]], ('1x1.70', 0.9327282905578613)], [[[243.0, 299.0], [271.0, 299.0], [271.0, 315.0], [243.0, 315.0]], ('1.70', 0.9644667506217957)], [[[159.0, 328.0], [192.0, 328.0], [192.0, 353.0], [159.0, 353.0]], ('TOTAL', 0.9763838648796082)], [[[230.0, 329.0], [271.0, 329.0], [271.0, 354.0], [230.0, 354.0]], ('100.20', 0.9746395945549011)], [[[32.0, 353.0], [174.0, 355.0], [174.0, 370.0], [32.0, 368.0]], ('50.00 BAUCAR BUKU 01.000', 0.9247385859489441)], [[[230.0, 357.0], [270.0, 357.0], [270.0, 372.0], [230.0, 372.0]], ('100.00', 0.9470710754394531)], [[[164.0, 373.0], [191.0, 373.0], [191.0, 385.0], [164.0, 385.0]], ('CASH', 0.9980958700180054)], [[[241.0, 373.0], [269.0, 373.0], [269.0, 389.0], [241.0, 389.0]], ('D.20', 0.9093751907348633)]]
{"store_name": "", "store_addr": "GiantStadiumShahAlam", "telephone": "03-55118978", "date": "", "time": "", "subtotal": "", "tax": "", "total": "100.20", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "PSIKOLOGICINTA", "item_value": "19.00", "item_quantity": "1"}, {"item_key": "", "item_name": "TIPNENJADIINDIVIDUMENARIK", "item_value": "22.50", "item_quantity": "1"}, {"item_key": "", "item_name": "CHICKENSOUPFORTHESOUL:BER", "item_value": "27.00", "item_quantity": "1"}, {"item_key": "", "item_name": "FIKIRPOSITIF(EDISIBAHASANE", "item_value": "30.00", "item_quantity": "1"}, {"item_key": "", "item_name": "AL-AURAMTAJWIDDANTERJEMAHNY", "item_value": "1.70", "item_quantity": "1"}, {"item_key": "", "item_name": "[BUKU]", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "ACURA28MMCOLOURPAPERCLIP", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[92.0, 14.0], [261.0, 13.0], [261.0, 30.0], [92.0, 31.0]], ('10759 SAN PABLO AVENUE', 0.9197410941123962)], [[[91.0, 32.0], [254.0, 30.0], [254.0, 46.0], [91.0, 49.0]], ('EL-CERRITOCA 94530', 0.9450404644012451)], [[[119.0, 49.0], [235.0, 49.0], [235.0, 66.0], [119.0, 66.0]], ('510527-5668', 0.9936126470565796)], [[[12.0, 75.0], [109.0, 75.0], [109.0, 92.0], [12.0, 92.0]], ('15JUNIORS', 0.9869884848594666)], [[[153.0, 74.0], [223.0, 74.0], [223.0, 91.0], [153.0, 91.0]], ('050580820', 0.9980955123901367)], [[[288.0, 72.0], [339.0, 72.0], [339.0, 90.0], [288.0, 90.0]], ('5.99T', 0.973912239074707)], [[[12.0, 94.0], [108.0, 94.0], [108.0, 108.0], [12.0, 108.0]], ('15-JUNIORS', 0.9691246747970581)], [[[153.0, 92.0], [223.0, 92.0], [223.0, 109.0], [153.0, 109.0]], ('050330753', 0.9984743595123291)], [[[283.0, 89.0], [338.0, 89.0], [338.0, 107.0], [283.0, 107.0]], ('12.00 T', 0.9300470352172852)], [[[12.0, 112.0], [115.0, 112.0], [115.0, 126.0], [12.0, 126.0]], ('38-SWIMWEAR', 0.9522750973701477)], [[[153.0, 109.0], [223.0, 109.0], [223.0, 126.0], [153.0, 126.0]], ('050942255', 0.9981920719146729)], [[[287.0, 107.0], [340.0, 107.0], [340.0, 125.0], [287.0, 125.0]], ('4.99 T', 0.9103517532348633)], [[[11.0, 128.0], [116.0, 128.0], [116.0, 144.0], [11.0, 144.0]], ('38SWIMWEAR', 0.9872028231620789)], [[[153.0, 127.0], [223.0, 127.0], [223.0, 143.0], [153.0, 143.0]], ('050942262', 0.9984889626502991)], [[[284.0, 125.0], [340.0, 125.0], [340.0, 142.0], [284.0, 142.0]], ('12.99 T', 0.9425973296165466)], [[[11.0, 145.0], [108.0, 143.0], [109.0, 160.0], [11.0, 162.0]], ('15-JUNIORS', 0.9594970941543579)], [[[153.0, 143.0], [222.0, 143.0], [222.0, 160.0], [153.0, 160.0]], ('050043031', 0.9974949955940247)], [[[290.0, 142.0], [340.0, 142.0], [340.0, 158.0], [290.0, 158.0]], ('9.99T', 0.9718307256698608)], [[[11.0, 163.0], [108.0, 161.0], [109.0, 178.0], [11.0, 180.0]], ('15-JUNIORS', 0.9689847826957703)], [[[153.0, 160.0], [222.0, 160.0], [222.0, 177.0], [153.0, 177.0]], ('048521701', 0.998052179813385)], [[[284.0, 158.0], [340.0, 158.0], [340.0, 176.0], [284.0, 176.0]], ('14.99 T', 0.9319667816162109)], [[[10.0, 181.0], [141.0, 178.0], [142.0, 195.0], [10.0, 198.0]], ('25-LADIES FTWR', 0.9431093335151672)], [[[151.0, 178.0], [224.0, 176.0], [225.0, 194.0], [152.0, 196.0]], ('048069720', 0.9977114796638489)], [[[284.0, 175.0], [339.0, 175.0], [339.0, 193.0], [284.0, 193.0]], ('16.00T', 0.9912692904472351)], [[[11.0, 207.0], [76.0, 204.0], [76.0, 222.0], [11.0, 225.0]], ('SUBTOTAL', 0.9959513545036316)], [[[283.0, 200.0], [329.0, 200.0], [329.0, 218.0], [283.0, 218.0]], ('$76.95', 0.9968359470367432)], [[[12.0, 224.0], [171.0, 220.0], [171.0, 237.0], [12.0, 241.0]], ('CA 10.000% Sales Tax', 0.9161081314086914)], [[[288.0, 218.0], [329.0, 218.0], [329.0, 235.0], [288.0, 235.0]], ('$7.70', 0.9960803985595703)], [[[13.0, 242.0], [92.0, 240.0], [92.0, 257.0], [13.0, 259.0]], ('TOTAL', 0.9983468055725098)], [[[281.0, 233.0], [329.0, 233.0], [329.0, 251.0], [281.0, 251.0]], ('$84.65', 0.992351233959198)], [[[13.0, 258.0], [170.0, 254.0], [170.0, 272.0], [13.0, 276.0]], ('DEBITVISA', 0.9941388368606567)], [[[282.0, 250.0], [328.0, 250.0], [328.0, 268.0], [282.0, 268.0]], ('$84.65', 0.9923141002655029)], [[[14.0, 274.0], [140.0, 273.0], [140.0, 290.0], [14.0, 291.0]], ('************7730', 0.9908170700073242)], [[[17.0, 293.0], [80.0, 293.0], [80.0, 306.0], [17.0, 306.0]], ('PURCHASE', 0.9964550733566284)], [[[16.0, 308.0], [179.0, 303.0], [179.0, 320.0], [16.0, 324.0]], ('EXPIRES*/**SWIPED', 0.9539984464645386)], [[[17.0, 325.0], [150.0, 319.0], [151.0, 337.0], [17.0, 343.0]], ('TRAN REC #525392', 0.9426195621490479)]]
{"store_name": "", "store_addr": "10759SANPABLOAVENUE ELCERRITO,CA94530", "telephone": "(510)527-5668", "date": "", "time": "", "subtotal": "$76.95", "tax": "$7.70", "total": "$84.65 $84.65", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "JUNIORS", "item_value": "5.99T", "item_quantity": "1"}, {"item_key": "", "item_name": "JUNIORS", "item_value": "12.00T", "item_quantity": "1"}, {"item_key": "", "item_name": "SWIMWEAR", "item_value": "4.99T", "item_quantity": "1"}, {"item_key": "", "item_name": "SWIMWEAR", "item_value": "12.99T", "item_quantity": "1"}, {"item_key": "", "item_name": "JUNIORS", "item_value": "9.99T", "item_quantity": "1"}, {"item_key": "", "item_name": "JUNIORS", "item_value": "14.99T", "item_quantity": "1"}, {"item_key": "", "item_name": "LADIESFTWR", "item_value": "16.00T", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[63.0, 1.0], [135.0, 1.0], [135.0, 12.0], [63.0, 12.0]], ('Cashler100', 0.8658440709114075)], [[[234.0, 14.0], [284.0, 8.0], [286.0, 25.0], [236.0, 31.0]], ('$2.97F', 0.9317235350608826)], [[[62.0, 24.0], [128.0, 24.0], [128.0, 35.0], [62.0, 35.0]], ('31/$0.99', 0.9743815660476685)], [[[73.0, 33.0], [183.0, 33.0], [183.0, 46.0], [73.0, 46.0]], ('ARGY-D COCONUT MILK', 0.9081009030342102)], [[[60.0, 55.0], [141.0, 55.0], [141.0, 68.0], [60.0, 68.0]], ('SHRIMP PASTE', 0.9634559154510498)], [[[236.0, 48.0], [288.0, 43.0], [289.0, 61.0], [237.0, 66.0]], ('$1.19F', 0.8992154002189636)], [[[57.0, 76.0], [176.0, 76.0], [176.0, 90.0], [57.0, 90.0]], ('1 FROZEN SMALL SQUID', 0.8972702026367188)], [[[238.0, 72.0], [290.0, 70.0], [291.0, 85.0], [239.0, 87.0]], ('$3.99F', 0.9827544093132019)], [[[56.0, 102.0], [112.0, 102.0], [112.0, 113.0], [56.0, 113.0]], ('ISeafood', 0.9268902540206909)], [[[236.0, 99.0], [292.0, 94.0], [293.0, 107.0], [237.0, 113.0]], ('$12.52F', 0.9517353773117065)], [[[51.0, 115.0], [124.0, 115.0], [124.0, 129.0], [51.0, 129.0]], ('1_Vegetable', 0.9253528118133545)], [[[240.0, 111.0], [293.0, 109.0], [294.0, 122.0], [241.0, 125.0]], ('52.99_F', 0.7494568824768066)], [[[50.0, 126.0], [193.0, 124.0], [193.0, 140.0], [51.0, 142.0]], ('1ABCSWEET SOY SAUCE', 0.8816815614700317)], [[[242.0, 124.0], [296.0, 121.0], [297.0, 138.0], [243.0, 141.0]], ('$4.99F', 0.9770751595497131)], [[[63.0, 139.0], [102.0, 139.0], [102.0, 153.0], [63.0, 153.0]], ('ABC', 0.9861443638801575)], [[[97.0, 139.0], [142.0, 142.0], [141.0, 156.0], [97.0, 154.0]], ('HY', 0.5491738319396973)], [[[51.0, 151.0], [141.0, 155.0], [140.0, 169.0], [50.0, 165.0]], ('1 SUSHI STICKS', 0.9045447707176208)], [[[245.0, 151.0], [299.0, 149.0], [300.0, 167.0], [246.0, 169.0]], ('$2.99F', 0.9879339337348938)], [[[48.0, 179.0], [177.0, 181.0], [177.0, 198.0], [47.0, 196.0]], ('1-DRIED SMALL SHRIMP', 0.9218095541000366)], [[[248.0, 181.0], [294.0, 181.0], [294.0, 196.0], [248.0, 196.0]], ('66', 0.6775873303413391)], [[[290.0, 182.0], [301.0, 182.0], [301.0, 192.0], [290.0, 192.0]], ('F', 0.7882646918296814)], [[[46.0, 209.0], [221.0, 210.0], [221.0, 227.0], [45.0, 226.0]], ('0.35 1b $1.99/1b Tare0.01', 0.9363514184951782)], [[[249.0, 210.0], [305.0, 207.0], [306.0, 224.0], [250.0, 227.0]], ('$0.70F', 0.983245313167572)], [[[59.0, 224.0], [104.0, 227.0], [103.0, 244.0], [58.0, 242.0]], ('CHIVES', 0.9971597194671631)], [[[59.0, 242.0], [90.0, 242.0], [90.0, 257.0], [59.0, 257.0]], ('HR', 0.5208777189254761)], [[[44.0, 258.0], [223.0, 258.0], [223.0, 272.0], [44.0, 272.0]], ('1.78 1b $0.59/1b Tare0.01', 0.8937587738037109)], [[[253.0, 256.0], [309.0, 256.0], [309.0, 273.0], [253.0, 273.0]], ('$1.05F', 0.987695038318634)], [[[56.0, 274.0], [100.0, 274.0], [100.0, 289.0], [56.0, 289.0]], ('BANANA', 0.9959204792976379)], [[[42.0, 305.0], [171.0, 307.0], [171.0, 323.0], [41.0, 322.0]], ('1POMEGRANATE JUICE', 0.9669578075408936)], [[[255.0, 305.0], [314.0, 305.0], [314.0, 326.0], [255.0, 326.0]], ('$1.29F', 0.9842240214347839)], [[[54.0, 323.0], [98.0, 327.0], [97.0, 344.0], [53.0, 341.0]], ('Tihat', 0.6285156607627869)]]
{"store_name": "", "store_addr": "", "telephone": "", "date": "", "time": "", "subtotal": "", "tax": "", "total": "", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "AROY-DCOCONUTMILK", "item_value": "$2.97", "item_quantity": "1"}, {"item_key": "", "item_name": "SHRIMPPASTE", "item_value": "$1.19", "item_quantity": "1"}, {"item_key": "", "item_name": "FROZENSMALLSQUID", "item_value": "$3.99", "item_quantity": "1"}, {"item_key": "", "item_name": "Seafood", "item_value": "$12.52", "item_quantity": "1"}, {"item_key": "", "item_name": "Vegetable", "item_value": "$2.99", "item_quantity": "1"}, {"item_key": "", "item_name": "ABC", "item_value": "$4.99", "item_quantity": "1"}, {"item_key": "", "item_name": "SWEETSOYSAUCE", "item_value": "$2.99", "item_quantity": "1"}, {"item_key": "", "item_name": "ABC", "item_value": "$4.99", "item_quantity": "1"}, {"item_key": "", "item_name": "SUSHISTICKS", "item_value": "$0.70", "item_quantity": "1"}, {"item_key": "", "item_name": "DRIEDSMALLSHRIMP", "item_value": "$1.05", "item_quantity": "1"}, {"item_key": "", "item_name": "CHIVES", "item_value": "$1.29", "item_quantity": "1"}, {"item_key": "", "item_name": "BANANA", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "POMEGRANATEJUICE", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[139.0, 60.0], [327.0, 68.0], [326.0, 83.0], [138.0, 74.0]], ('YOURRECEIP', 0.9758321642875671)], [[[152.0, 72.0], [311.0, 81.0], [310.0, 95.0], [151.0, 86.0]], ('THANKYOU', 0.9938807487487793)], [[[149.0, 85.0], [240.0, 90.0], [240.0, 104.0], [148.0, 99.0]], ('CALL', 0.9903873205184937)], [[[236.0, 90.0], [324.0, 96.0], [323.0, 110.0], [235.0, 104.0]], ('AGAIN', 0.9924941062927246)], [[[126.0, 124.0], [333.0, 138.0], [332.0, 153.0], [125.0, 139.0]], ('SEOULGARDEN', 0.9921600818634033)], [[[162.0, 142.0], [301.0, 152.0], [300.0, 166.0], [161.0, 156.0]], ("O'connelis Mail", 0.80433189868927)], [[[189.0, 158.0], [290.0, 165.0], [289.0, 179.0], [189.0, 172.0]], ('Queenstown.', 0.9503326416015625)], [[[150.0, 170.0], [310.0, 178.0], [309.0, 195.0], [149.0, 188.0]], ('Phone 03-442-7131', 0.9377430081367493)], [[[121.0, 204.0], [154.0, 204.0], [154.0, 218.0], [121.0, 218.0]], ('REG', 0.9962368011474609)], [[[167.0, 203.0], [319.0, 208.0], [318.0, 224.0], [167.0, 219.0]], ('10-03-201619:45', 0.9641177654266357)], [[[289.0, 223.0], [347.0, 223.0], [347.0, 240.0], [289.0, 240.0]], ('007521', 0.9944828152656555)], [[[296.0, 238.0], [347.0, 238.0], [347.0, 256.0], [296.0, 256.0]], ('CT1', 0.9537642598152161)], [[[132.0, 267.0], [227.0, 268.0], [227.0, 283.0], [132.0, 282.0]], ('10JINOH2', 0.8812201619148254)], [[[288.0, 269.0], [346.0, 271.0], [345.0, 289.0], [287.0, 286.0]], ('$35.00', 0.9860228896141052)], [[[132.0, 285.0], [236.0, 285.0], [236.0, 299.0], [132.0, 299.0]], ('1JAEYUKE2', 0.8899046778678894)], [[[288.0, 285.0], [346.0, 288.0], [345.0, 305.0], [287.0, 302.0]], ('$40.00', 0.9955652356147766)], [[[132.0, 301.0], [216.0, 301.0], [216.0, 315.0], [132.0, 315.0]], ('1RAMYEON', 0.9846252202987671)], [[[288.0, 300.0], [346.0, 303.0], [345.0, 321.0], [287.0, 318.0]], ('$13.00', 0.9951511025428772)], [[[132.0, 317.0], [215.0, 317.0], [215.0, 331.0], [132.0, 331.0]], ('1LETTUCE', 0.9886497855186462)], [[[296.0, 317.0], [345.0, 320.0], [344.0, 337.0], [295.0, 334.0]], ('$7.00', 0.9965699315071106)], [[[150.0, 333.0], [197.0, 333.0], [197.0, 349.0], [150.0, 349.0]], ('TOTAL', 0.998492419719696)], [[[232.0, 331.0], [343.0, 336.0], [342.0, 353.0], [232.0, 348.0]], ('$95.00', 0.9923577904701233)], [[[286.0, 348.0], [344.0, 351.0], [343.0, 369.0], [285.0, 366.0]], ('$95.00', 0.9963926672935486)], [[[133.0, 383.0], [187.0, 383.0], [187.0, 397.0], [133.0, 397.0]], ('XXX', 0.5936693549156189)], [[[202.0, 378.0], [330.0, 383.0], [329.0, 400.0], [202.0, 396.0]], ('INVOICE', 0.9935246109962463)], [[[148.0, 397.0], [296.0, 397.0], [296.0, 414.0], [148.0, 414.0]], ('GST#114-739-324', 0.9804280996322632)]]
{"store_name": "SEOULGARDEN", "store_addr": "0'connelIsMall Queenstown", "telephone": "03-442-7131", "date": "10-03-2016", "time": "19:45", "subtotal": "", "tax": "", "total": "$95.00 $95.00", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "OJINOH2", "item_value": "$35.00", "item_quantity": "1"}, {"item_key": "", "item_name": "JAEYUKE2", "item_value": "$40.00", "item_quantity": "1"}, {"item_key": "", "item_name": "RAMYEON", "item_value": "$$13.00", "item_quantity": "1"}, {"item_key": "", "item_name": "LETTUCE", "item_value": "$7.00", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[97.0, 22.0], [339.0, 22.0], [339.0, 73.0], [97.0, 73.0]], ('TESCO', 0.9962779879570007)], [[[135.0, 72.0], [291.0, 72.0], [291.0, 83.0], [135.0, 83.0]], ('IRELAND', 0.8976946473121643)], [[[97.0, 120.0], [345.0, 120.0], [345.0, 148.0], [97.0, 148.0]], ('How did we do?', 0.9443188905715942)], [[[86.0, 145.0], [367.0, 148.0], [367.0, 170.0], [86.0, 167.0]], ('Visit ww.tescocomments.com and', 0.9622670412063599)], [[[83.0, 167.0], [369.0, 168.0], [368.0, 187.0], [83.0, 185.0]], ('tell us about your shopping trip', 0.9334161281585693)], [[[328.0, 216.0], [387.0, 221.0], [386.0, 244.0], [327.0, 239.0]], ('EUR', 0.9961614012718201)], [[[53.0, 238.0], [172.0, 238.0], [172.0, 257.0], [53.0, 257.0]], ('ODLUMS TWINPK', 0.9277281165122986)], [[[335.0, 240.0], [378.0, 240.0], [378.0, 260.0], [335.0, 260.0]], ('3.99', 0.9964386820793152)], [[[53.0, 257.0], [137.0, 257.0], [137.0, 275.0], [53.0, 275.0]], ('TROPICANA', 0.9956900477409363)], [[[334.0, 257.0], [380.0, 257.0], [380.0, 282.0], [334.0, 282.0]], ('2.27', 0.9933497309684753)], [[[52.0, 271.0], [167.0, 275.0], [166.0, 299.0], [51.0, 295.0]], ('CHOPED TOMS', 0.9508004784584045)], [[[335.0, 277.0], [377.0, 277.0], [377.0, 297.0], [335.0, 297.0]], ('0.79', 0.9944735765457153)], [[[55.0, 295.0], [121.0, 295.0], [121.0, 313.0], [55.0, 313.0]], ('CEREALS', 0.9965206980705261)], [[[337.0, 295.0], [378.0, 295.0], [378.0, 315.0], [337.0, 315.0]], ('2.35', 0.9884860515594482)], [[[55.0, 313.0], [164.0, 313.0], [164.0, 332.0], [55.0, 332.0]], ('CHOPED TOMS', 0.9585771560668945)], [[[337.0, 313.0], [377.0, 313.0], [377.0, 333.0], [337.0, 333.0]], ('0.79', 0.9966518878936768)], [[[55.0, 333.0], [129.0, 333.0], [129.0, 350.0], [55.0, 350.0]], ('SARDINES', 0.9978814721107483)], [[[337.0, 332.0], [377.0, 332.0], [377.0, 352.0], [337.0, 352.0]], ('0.47', 0.9972290396690369)], [[[51.0, 350.0], [144.0, 350.0], [144.0, 368.0], [51.0, 368.0]], ('RICE SNAPS', 0.9532641172409058)], [[[335.0, 350.0], [377.0, 350.0], [377.0, 370.0], 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1355.0], [135.0, 1355.0], [135.0, 1375.0], [101.0, 1375.0]], ('5', 0.9992885589599609)], [[[202.0, 1357.0], [268.0, 1357.0], [268.0, 1375.0], [202.0, 1375.0]], ('EURO.55', 0.9448210597038269)], [[[334.0, 1357.0], [373.0, 1357.0], [373.0, 1377.0], [334.0, 1377.0]], ('2.75', 0.9686039686203003)], [[[50.0, 1368.0], [142.0, 1372.0], [141.0, 1395.0], [49.0, 1391.0]], ('NEWSPAPERS', 0.9785555601119995)], [[[183.0, 1377.0], [198.0, 1377.0], [198.0, 1393.0], [183.0, 1393.0]], ('#', 0.9813975095748901)], [[[334.0, 1375.0], [373.0, 1375.0], [373.0, 1395.0], [334.0, 1395.0]], ('1.80', 0.9942492246627808)], [[[51.0, 1393.0], [142.0, 1393.0], [142.0, 1412.0], [51.0, 1412.0]], ('INDOOR MAT', 0.9332482218742371)], [[[178.0, 1400.0], [188.0, 1391.0], [200.0, 1403.0], [191.0, 1412.0]], ('+', 0.8541842103004456)], [[[332.0, 1393.0], [373.0, 1393.0], [373.0, 1413.0], [332.0, 1413.0]], ('2.25', 0.9956332445144653)], [[[51.0, 1428.0], [131.0, 1428.0], [131.0, 1447.0], [51.0, 1447.0]], ('SUB-TOTAL', 0.9903132319450378)], [[[315.0, 1426.0], [374.0, 1430.0], [372.0, 1450.0], [314.0, 1446.0]], ('111.60', 0.9947829842567444)], [[[38.0, 1462.0], [329.0, 1465.0], [329.0, 1488.0], [38.0, 1485.0]], ('MUL.TIBUY SAVINGS', 0.9629083275794983)], [[[48.0, 1483.0], [258.0, 1485.0], [258.0, 1503.0], [48.0, 1502.0]], ('GREEV ISLE VEG 2FOR2.50', 0.9106001853942871)], [[[324.0, 1483.0], [375.0, 1483.0], [375.0, 1507.0], [324.0, 1507.0]], ('-0.68', 0.9443303942680359)], [[[50.0, 1502.0], [205.0, 1502.0], [205.0, 1523.0], [50.0, 1523.0]], ('CLOVER 5O0G BOGOF', 0.8933172821998596)], [[[322.0, 1502.0], [375.0, 1502.0], [375.0, 1525.0], [322.0, 1525.0]], ('-2.29', 0.9636955261230469)], [[[48.0, 1520.0], [255.0, 1522.0], [254.0, 1540.0], [48.0, 1538.0]], ('PHILADELPHIA 30OG BOGOF', 0.9057914614677429)], [[[324.0, 1520.0], [373.0, 1520.0], [373.0, 1543.0], [324.0, 1543.0]], ('-2.59', 0.9740003347396851)], [[[50.0, 1558.0], [167.0, 1558.0], [167.0, 1577.0], [50.0, 1577.0]], ('TOTA-SAVINGS', 0.9379313588142395)], [[[327.0, 1558.0], [373.0, 1558.0], [373.0, 1580.0], [327.0, 1580.0]], ('-5.56', 0.9644069671630859)]]
{"store_name": "TESCO", "store_addr": "", "telephone": "", "date": "", "time": "", "subtotal": "111.60", "tax": "", "total": "", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "INDOORMAT*", "item_value": "2.25", "item_quantity": "1"}, {"item_key": "", "item_name": "NEWSPAPERS#", "item_value": "1.80", "item_quantity": "1"}, {"item_key": "", "item_name": "BUTRCROISSANT", "item_value": "2.75", "item_quantity": "1"}, {"item_key": "", "item_name": "MAGAZINE#", "item_value": "5.14", "item_quantity": "1"}, {"item_key": "", "item_name": "8POTATOFARLS", "item_value": "2.15", "item_quantity": "1"}, {"item_key": "", "item_name": "TPLAINWRAPS", "item_value": "1.25", "item_quantity": "1"}, {"item_key": "", "item_name": "BOURBONCREAMS#", "item_value": "0.65", "item_quantity": "1"}, {"item_key": "", "item_name": "DARKCHOCOLATE*", "item_value": "1.59", "item_quantity": "1"}, {"item_key": "", "item_name": "SPONGEFINGERS#", "item_value": "1.19", "item_quantity": "1"}, {"item_key": "", "item_name": "MVA_UELEEKS", "item_value": "1.79", "item_quantity": "1"}, {"item_key": "", "item_name": "AFTEREIGHTS*", "item_value": "3.98", "item_quantity": "1"}, {"item_key": "", "item_name": "LOOSEROOSTPOTS", "item_value": "0.86", "item_quantity": "1"}, {"item_key": "", "item_name": "HORRORLOLLIES*", "item_value": "0.49", "item_quantity": "1"}, {"item_key": "", "item_name": "CAKECOVERING", "item_value": "1.35", "item_quantity": "1"}, {"item_key": "", "item_name": "SMOKEDCHEESE", "item_value": "1.99", "item_quantity": "1"}, {"item_key": "", "item_name": "FISHFINGERS", "item_value": "3.48", "item_quantity": "1"}, {"item_key": "", "item_name": "JAFFACAKES#", "item_value": "1.59", "item_quantity": "1"}, {"item_key": "", "item_name": "PEPPERSMIXED", "item_value": "1.99", "item_quantity": "1"}, {"item_key": "", "item_name": "CORIANDER30G", "item_value": "1.19", "item_quantity": "1"}, {"item_key": "", "item_name": "REDCHILLIES", "item_value": "0.63", "item_quantity": "1"}, {"item_key": "", "item_name": "HORRORLOLLIES*", "item_value": "0.98", "item_quantity": "1"}, {"item_key": "", "item_name": "BABYSPINACH", "item_value": "1.99", "item_quantity": "1"}, {"item_key": "", "item_name": "GRAPES", "item_value": "2.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BANANASLOOSE", "item_value": "1.07", "item_quantity": "1"}, {"item_key": "", "item_name": "REDPOTS", "item_value": "2.67", "item_quantity": "1"}, {"item_key": "", "item_name": "ONIONLSE", "item_value": "1.27", "item_quantity": "1"}, {"item_key": "", "item_name": "REDONIONS1KG", "item_value": "0.79", "item_quantity": "1"}, {"item_key": "", "item_name": "SOFTCHEESE", "item_value": "2.59", "item_quantity": "1"}, {"item_key": "", "item_name": "CRMEFRALCHE", "item_value": "1.59", "item_quantity": "1"}, {"item_key": "", "item_name": "MVIRISHMRO0M", "item_value": "0.99", "item_quantity": "1"}, {"item_key": "", "item_name": "HAZE_NUTS300G", "item_value": "4.69", "item_quantity": "1"}, {"item_key": "", "item_name": "TOMATOESOTV", "item_value": "2.79", "item_quantity": "1"}, {"item_key": "", "item_name": "STORKMARG", "item_value": "0.95", "item_quantity": "1"}, {"item_key": "", "item_name": "G/ISPINH450G", "item_value": "1.59", "item_quantity": "1"}, {"item_key": "", "item_name": "AVONMOREBUTTER", "item_value": "1.58", "item_quantity": "1"}, {"item_key": "", "item_name": "G/ISPINH450G", "item_value": "1.59", "item_quantity": "1"}, {"item_key": "", "item_name": "RASHERS", "item_value": "3.00", "item_quantity": "1"}, {"item_key": "", "item_name": "PETITSPOIS", "item_value": "2.19", "item_quantity": "1"}, {"item_key": "", "item_name": "DELITWINPK", "item_value": "2.99", "item_quantity": "1"}, {"item_key": "", "item_name": "CLOVER", "item_value": "2.29", "item_quantity": "1"}, {"item_key": "", "item_name": "SARDINEBRINE", "item_value": "0.55", "item_quantity": "1"}, {"item_key": "", "item_name": "SARDINES", "item_value": "0.47", "item_quantity": "1"}, {"item_key": "", "item_name": "SOFTCHEESE", "item_value": "2.59", "item_quantity": "1"}, {"item_key": "", "item_name": "CLOVER", "item_value": "2.29", "item_quantity": "1"}, {"item_key": "", "item_name": "FRUIT", "item_value": "3.49", "item_quantity": "1"}, {"item_key": "", "item_name": "BAKINGPOWDER", "item_value": "1.29", "item_quantity": "1"}, {"item_key": "", "item_name": "ORGRICEDREAM", "item_value": "2.49", "item_quantity": "1"}, {"item_key": "", "item_name": "FRESHMILK", "item_value": "4.47", "item_quantity": "1"}, {"item_key": "", "item_name": "MARMITE", "item_value": "3.69", "item_quantity": "1"}, {"item_key": "", "item_name": "RICESNAPS", "item_value": "1.90", "item_quantity": "1"}, {"item_key": "", "item_name": "SARDINES", "item_value": "0.47", "item_quantity": "1"}, {"item_key": "", "item_name": "CHOPEDTOMS", "item_value": "0.79", "item_quantity": "1"}, {"item_key": "", "item_name": "CEREALS", "item_value": "2.35", "item_quantity": "1"}, {"item_key": "", "item_name": "CHOPPEDTOMS", "item_value": "0.79", "item_quantity": "1"}, {"item_key": "", "item_name": "TROPICANA*", "item_value": "2.27", "item_quantity": "1"}, {"item_key": "", "item_name": "ODLUMSTWINPK", "item_value": "3.99", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[105.0, 1.0], [223.0, 2.0], [223.0, 16.0], [105.0, 15.0]], ('West VancouverB.C', 0.9732775092124939)], [[[104.0, 17.0], [221.0, 17.0], [221.0, 31.0], [104.0, 31.0]], ('Phone:604-922-1414', 0.9809468388557434)], [[[74.0, 33.0], [257.0, 33.0], [257.0, 46.0], [74.0, 46.0]], ('www.thebeachnouserestaurant.ca', 0.9897238612174988)], [[[73.0, 59.0], [144.0, 61.0], [143.0, 78.0], [72.0, 76.0]], ('106Jenny T', 0.9443074464797974)], [[[67.0, 90.0], [122.0, 92.0], [121.0, 107.0], [66.0, 105.0]], ('Tb124/1', 0.9560366272926331)], [[[137.0, 93.0], [190.0, 93.0], [190.0, 107.0], [137.0, 107.0]], ('Chk 3788', 0.9309118986129761)], [[[223.0, 93.0], [263.0, 93.0], [263.0, 108.0], [223.0, 108.0]], ('Gst 4', 0.8922038078308105)], [[[116.0, 108.0], [215.0, 108.0], [215.0, 122.0], [116.0, 122.0]], ("Aug26'1608:13PM", 0.9530699253082275)], [[[78.0, 135.0], [153.0, 131.0], [153.0, 148.0], [79.0, 151.0]], ('1 Musse1 Pot', 0.8746880888938904)], [[[211.0, 131.0], [247.0, 131.0], [247.0, 146.0], [211.0, 146.0]], ('26.00', 0.9858688116073608)], [[[101.0, 150.0], [136.0, 150.0], [136.0, 164.0], [101.0, 164.0]], ('fries', 0.994256854057312)], [[[76.0, 162.0], [248.0, 156.0], [248.0, 176.0], [77.0, 182.0]], ('2 Fish&Chips 27.00 54.00', 0.9299895167350769)], [[[76.0, 177.0], [166.0, 176.0], [166.0, 194.0], [76.0, 195.0]], ('1 Lobster Ro11', 0.923517107963562)], [[[213.0, 175.0], [247.0, 173.0], [249.0, 188.0], [214.0, 190.0]], ('19.00', 0.9973141551017761)], [[[76.0, 192.0], [147.0, 194.0], [147.0, 211.0], [76.0, 208.0]], ('1 Pan Bread', 0.9434565901756287)], [[[218.0, 190.0], [249.0, 190.0], [249.0, 205.0], [218.0, 205.0]], ('3.50', 0.994602382183075)], [[[76.0, 208.0], [192.0, 208.0], [192.0, 224.0], [76.0, 224.0]], ('1 G1s Seven Terrac', 0.9190864562988281)], [[[216.0, 206.0], [250.0, 206.0], [250.0, 220.0], [216.0, 220.0]], ('10.00', 0.9961215853691101)], [[[77.0, 221.0], [143.0, 225.0], [142.0, 241.0], [76.0, 238.0]], ('1 BH LAGER', 0.9057111740112305)], [[[220.0, 220.0], [251.0, 220.0], [251.0, 236.0], [220.0, 236.0]], ('6.00', 0.9963074922561646)], [[[76.0, 237.0], [144.0, 241.0], [143.0, 257.0], [75.0, 254.0]], ('1 HH Lager', 0.9445314407348633)], [[[221.0, 236.0], [252.0, 236.0], [252.0, 252.0], [221.0, 252.0]], ('4.00', 0.9920037984848022)], [[[75.0, 254.0], [168.0, 256.0], [168.0, 273.0], [75.0, 271.0]], ('1 Tartar Sauce', 0.9360958337783813)], [[[221.0, 253.0], [254.0, 253.0], [254.0, 270.0], [221.0, 270.0]], ('0.00', 0.9919098019599915)], [[[77.0, 273.0], [193.0, 273.0], [193.0, 287.0], [77.0, 287.0]], ('1 Bluebry Cheescke', 0.9524290561676025)], [[[222.0, 270.0], [253.0, 270.0], [253.0, 286.0], [222.0, 286.0]], ('6.00', 0.9972420930862427)], [[[75.0, 288.0], [189.0, 287.0], [189.0, 303.0], [75.0, 305.0]], ('1 Rhubarb Crumble', 0.9463492035865784)], [[[218.0, 286.0], [255.0, 286.0], [255.0, 304.0], [218.0, 304.0]], ('10.00', 0.9947894811630249)], [[[88.0, 321.0], [145.0, 321.0], [145.0, 339.0], [88.0, 339.0]], ('Subtotal', 0.9905840158462524)], [[[214.0, 320.0], [257.0, 320.0], [257.0, 338.0], [214.0, 338.0]], ('138.50', 0.9943713545799255)], [[[227.0, 338.0], [256.0, 338.0], [256.0, 347.0], [227.0, 347.0]], ('6.03', 0.7548198699951172)]]
{"store_name": "", "store_addr": "WestVancouver,B.C.", "telephone": "604-922-1414", "date": "Aug26'16", "time": "08:13PM", "subtotal": "138.50", "tax": "", "total": "", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "RhubarbCrumble", "item_value": "10.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BluebryCheescke", "item_value": "6.00", "item_quantity": "1"}, {"item_key": "", "item_name": "TartarSauce", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "HHLager", "item_value": "4.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BHLAGER", "item_value": "6.00", "item_quantity": "1"}, {"item_key": "", "item_name": "GlsSevenTerrac", "item_value": "10.00", "item_quantity": "1"}, {"item_key": "", "item_name": "PanBread", "item_value": "3.50", "item_quantity": "1"}, {"item_key": "", "item_name": "LobsterRoll", "item_value": "19.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Fish&Chips", "item_value": "54.00", "item_quantity": "1"}, {"item_key": "", "item_name": "MusselPot", "item_value": "26.00", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[296.0, 78.0], [419.0, 74.0], [420.0, 103.0], [297.0, 108.0]], ('Raising', 0.9953840374946594)], [[[275.0, 117.0], [480.0, 83.0], [492.0, 154.0], [287.0, 188.0]], ('anes', 0.9843226671218872)], [[[298.0, 193.0], [484.0, 193.0], [484.0, 214.0], [298.0, 214.0]], ('GHICKEN FINGERS', 0.8675403594970703)], [[[206.0, 261.0], [473.0, 255.0], [473.0, 280.0], [207.0, 286.0]], ('2085 POLARIS PARKWAY', 0.9484658241271973)], [[[219.0, 293.0], [461.0, 288.0], [461.0, 313.0], [220.0, 318.0]], ('COLUMBUSOH 43240', 0.9348189830780029)], [[[259.0, 325.0], [421.0, 322.0], [422.0, 348.0], [259.0, 351.0]], ('614-847-0900', 0.9927892684936523)], [[[84.0, 393.0], [232.0, 389.0], [232.0, 419.0], [85.0, 422.0]], ('400 Kenda11', 0.9368480443954468)], [[[67.0, 459.0], [180.0, 456.0], [180.0, 485.0], [68.0, 488.0]], ('Chk 1586', 0.9578181505203247)], [[[531.0, 452.0], [577.0, 452.0], [577.0, 481.0], [531.0, 481.0]], ('Gst', 0.9899242520332336)], [[[599.0, 455.0], [612.0, 454.0], [615.0, 476.0], [602.0, 478.0]], ('1', 0.8034056425094604)], [[[235.0, 491.0], [451.0, 487.0], [452.0, 515.0], [236.0, 519.0]], ("Jun02'1601:13PM", 0.9233443737030029)], [[[123.0, 557.0], [315.0, 555.0], [315.0, 583.0], [124.0, 586.0]], ('DineIn', 0.995751678943634)], [[[99.0, 592.0], [250.0, 589.0], [251.0, 618.0], [99.0, 620.0]], ('1BOXCOMBO', 0.9789812564849854)], [[[518.0, 586.0], [578.0, 586.0], [578.0, 618.0], [518.0, 618.0]], ('7.49', 0.9921815395355225)], [[[152.0, 626.0], [249.0, 624.0], [250.0, 651.0], [153.0, 653.0]], ('REGULAR', 0.9969337582588196)], [[[154.0, 659.0], [342.0, 659.0], [342.0, 684.0], [154.0, 684.0]], ('FOUNTAIN DRINK', 0.9791147112846375)], [[[125.0, 691.0], [185.0, 691.0], [185.0, 722.0], [125.0, 722.0]], ('Cash', 0.9974785447120667)], [[[509.0, 690.0], [582.0, 690.0], [582.0, 721.0], [509.0, 721.0]], ('10.00', 0.9964455366134644)], [[[126.0, 758.0], [235.0, 758.0], [235.0, 788.0], [126.0, 788.0]], ('Subtotal', 0.9943581223487854)], [[[521.0, 758.0], [583.0, 758.0], [583.0, 790.0], [521.0, 790.0]], ('7.49', 0.9854491949081421)], [[[126.0, 793.0], [172.0, 793.0], [172.0, 823.0], [126.0, 823.0]], ('TAX', 0.9975244998931885)], [[[521.0, 794.0], [584.0, 794.0], [584.0, 825.0], [521.0, 825.0]], ('0.57', 0.995200514793396)], [[[126.0, 827.0], [223.0, 827.0], [223.0, 856.0], [126.0, 856.0]], ('Payment', 0.9981091618537903)], [[[522.0, 828.0], [584.0, 828.0], [584.0, 859.0], [522.0, 859.0]], ('8.06', 0.9952595233917236)], [[[127.0, 861.0], [264.0, 861.0], [264.0, 891.0], [127.0, 891.0]], ('Change Due', 0.9611167907714844)], [[[525.0, 865.0], [584.0, 865.0], [584.0, 893.0], [525.0, 893.0]], ('1.94', 0.9917819499969482)], [[[234.0, 929.0], [433.0, 932.0], [432.0, 961.0], [233.0, 957.0]], ('-Customer Copy', 0.9668070673942566)]]
{"store_name": "Raising Cane's", "store_addr": "2085POLARISPARKWAY COLUMBUS,OH43240", "telephone": "614-847-0900", "date": "Jun02'16", "time": "01:13PM", "subtotal": "7.49", "tax": "0.57", "total": "8.06", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "BOXCOMBO", "item_value": "7.49", "item_quantity": "1"}, {"item_key": "", "item_name": "REGULAR", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "FOUNTAINDRINK", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[351.0, 204.0], [530.0, 204.0], [530.0, 241.0], [351.0, 241.0]], ('Gap-414', 0.9701216816902161)], [[[222.0, 254.0], [679.0, 256.0], [679.0, 293.0], [222.0, 290.0]], ('208 Memorial City Center', 0.9479444622993469)], [[[278.0, 303.0], [608.0, 303.0], [608.0, 340.0], [278.0, 340.0]], ('HoustonTX77024', 0.9801779389381409)], [[[259.0, 351.0], [625.0, 353.0], [625.0, 390.0], [259.0, 388.0]], ('Te1.713932-7000', 0.9754552245140076)], [[[67.0, 403.0], [263.0, 403.0], [263.0, 440.0], [67.0, 440.0]], ('08/14/2012', 0.9948713183403015)], [[[640.0, 403.0], [839.0, 403.0], [839.0, 440.0], [640.0, 440.0]], ('3:51:53PM', 0.9346837997436523)], [[[67.0, 453.0], [302.0, 453.0], [302.0, 490.0], [67.0, 490.0]], ('Trans.:8154', 0.951402485370636)], [[[604.0, 453.0], [839.0, 453.0], [839.0, 490.0], [604.0, 490.0]], ('Store:00414', 0.9732477068901062)], [[[62.0, 501.0], [241.0, 498.0], [242.0, 538.0], [63.0, 540.0]], ('Re9.:006', 0.8871169090270996)], [[[65.0, 551.0], [375.0, 548.0], [375.0, 587.0], [65.0, 590.0]], ('Cashier:2229023', 0.9735090732574463)], [[[586.0, 555.0], [834.0, 555.0], [834.0, 585.0], [586.0, 585.0]], ('Valid No:5916', 0.9319196343421936)], [[[407.0, 601.0], [492.0, 595.0], [495.0, 637.0], [409.0, 642.0]], ('SALE', 0.9981604814529419)], [[[257.0, 763.0], [714.0, 763.0], [714.0, 793.0], [257.0, 793.0]], ('004140068154201208145916', 0.9984456896781921)], [[[65.0, 906.0], [336.0, 906.0], [336.0, 943.0], [65.0, 943.0]], ('BRKN IN STR GD', 0.9183493256568909)], [[[660.0, 906.0], [800.0, 906.0], [800.0, 943.0], [660.0, 943.0]], ('44.95T', 0.9861354231834412)], [[[106.0, 956.0], [336.0, 956.0], [336.0, 993.0], [106.0, 993.0]], ('1166980014', 0.9970194697380066)], [[[505.0, 956.0], [681.0, 956.0], [681.0, 995.0], [505.0, 995.0]], ('149.95', 0.9856264591217041)], [[[89.0, 999.0], [475.0, 1008.0], [474.0, 1052.0], [88.0, 1042.0]], ('Trans.Discount 10%', 0.9574885964393616)], [[[567.0, 1008.0], [690.0, 1008.0], [690.0, 1045.0], [567.0, 1045.0]], ('5.00', 0.98260098695755)], [[[97.0, 1051.0], [429.0, 1056.0], [429.0, 1095.0], [97.0, 1090.0]], ('11710%TUESDA', 0.9866074919700623)], [[[65.0, 1160.0], [334.0, 1160.0], [334.0, 1190.0], [65.0, 1190.0]], ('SLEMBROIDERED', 0.991726815700531)], [[[660.0, 1158.0], [798.0, 1158.0], [798.0, 1194.0], [660.0, 1194.0]], ('44.96T', 0.9869744777679443)], [[[101.0, 1207.0], [336.0, 1207.0], [336.0, 1244.0], [101.0, 1244.0]], ('1124810003', 0.9975854158401489)], [[[502.0, 1207.0], [681.0, 1207.0], [681.0, 1244.0], [502.0, 1244.0]], ('1@49.95', 0.9857051968574524)], [[[76.0, 1255.0], [470.0, 1262.0], [470.0, 1299.0], [75.0, 1292.0]], ('Trans.Discount 10%', 0.9689018726348877)], [[[584.0, 1259.0], [709.0, 1259.0], [709.0, 1298.0], [584.0, 1298.0]], ('-4.99', 0.9489687085151672)], [[[99.0, 1305.0], [444.0, 1305.0], [444.0, 1342.0], [99.0, 1342.0]], ('11710%TUESDAY', 0.9736772179603577)], [[[27.0, 1450.0], [335.0, 1461.0], [333.0, 1498.0], [25.0, 1487.0]], ('STotal Discount', 0.9273925423622131)], [[[474.0, 1459.0], [591.0, 1459.0], [591.0, 1496.0], [474.0, 1496.0]], ('-9.99', 0.8994072675704956)], [[[60.0, 1554.0], [213.0, 1554.0], [213.0, 1591.0], [60.0, 1591.0]], ('Subtotal', 0.993921160697937)], [[[651.0, 1557.0], [755.0, 1552.0], [757.0, 1593.0], [653.0, 1598.0]], ('89.91', 0.9942900538444519)], [[[97.0, 1604.0], [425.0, 1606.0], [425.0, 1643.0], [97.0, 1641.0]], ('T1 Taxable Amount', 0.9437482357025146)], [[[578.0, 1606.0], [677.0, 1606.0], [677.0, 1645.0], [578.0, 1645.0]], ('89.91', 0.9941682815551758)], [[[99.0, 1656.0], [410.0, 1656.0], [410.0, 1693.0], [99.0, 1693.0]], ('T18.2500%Tax', 0.9856976866722107)], [[[593.0, 1654.0], [681.0, 1654.0], [681.0, 1695.0], [593.0, 1695.0]], ('7.42', 0.9879359602928162)], [[[63.0, 1708.0], [237.0, 1708.0], [237.0, 1745.0], [63.0, 1745.0]], ('Total Tax', 0.9639193415641785)], [[[673.0, 1701.0], [758.0, 1707.0], [755.0, 1748.0], [670.0, 1742.0]], ('7.42', 0.9914926886558533)], [[[58.0, 1758.0], [160.0, 1758.0], [160.0, 1797.0], [58.0, 1797.0]], ('Tooel', 0.5675759315490723)], [[[653.0, 1753.0], [757.0, 1759.0], [755.0, 1800.0], [651.0, 1794.0]], ('97.33', 0.9944484829902649)], [[[136.0, 1808.0], [390.0, 1808.0], [390.0, 1845.0], [136.0, 1845.0]], ('ON Credit S', 0.9406318664550781)], [[[653.0, 1808.0], [757.0, 1808.0], [757.0, 1847.0], [653.0, 1847.0]], ('97.33', 0.9954862594604492)], [[[177.0, 1862.0], [332.0, 1862.0], [332.0, 1892.0], [177.0, 1892.0]], ('Account:', 0.982109785079956)], [[[369.0, 1862.0], [619.0, 1862.0], [619.0, 1892.0], [369.0, 1892.0]], ('XXXXXXXXXXXX.', 0.7964961528778076)], [[[175.0, 1910.0], [270.0, 1910.0], [270.0, 1942.0], [175.0, 1942.0]], ('Auth:', 0.9719110727310181)], [[[364.0, 1908.0], [658.0, 1908.0], [658.0, 1944.0], [364.0, 1944.0]], ('AUTH A)', 0.8649640083312988)], [[[63.0, 1955.0], [291.0, 1955.0], [291.0, 1992.0], [63.0, 1992.0]], ('Total Tender', 0.9626441597938538)], [[[651.0, 1955.0], [757.0, 1955.0], [757.0, 1994.0], [651.0, 1994.0]], ('97.33', 0.9803608059883118)], [[[58.0, 2007.0], [254.0, 2007.0], [254.0, 2044.0], [58.0, 2044.0]], ('Change Due', 0.9705227613449097)], [[[668.0, 2005.0], [757.0, 2005.0], [757.0, 2046.0], [668.0, 2046.0]], ('0.00', 0.9943759441375732)]]
{"store_name": "Gap-414", "store_addr": "Houston,TX77024 208MemorialCityCenter", "telephone": "(713)932-7000", "date": "08/14/2012", "time": "3:51:53PM", "subtotal": "89.91 89.91", "tax": "7.42 7.42", "total": "97.33 97.33 97.33", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "SLEMBROIDERED", "item_value": "44.96", "item_quantity": "1"}, {"item_key": "", "item_name": "BRKNINSTRGD", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "44.95", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[88.0, 7.0], [239.0, 1.0], [239.0, 18.0], [88.0, 24.0]], ("Vic & Anthony's Steakhouse", 0.9489015936851501)], [[[100.0, 20.0], [222.0, 16.0], [223.0, 33.0], [100.0, 37.0]], ('129 E.Fremont Street', 0.9596410989761353)], [[[105.0, 35.0], [215.0, 29.0], [216.0, 44.0], [105.0, 50.0]], ('Las VegasNV 89101', 0.9406285285949707)], [[[123.0, 49.0], [205.0, 45.0], [206.0, 59.0], [124.0, 62.0]], ('702386-8399', 0.9896419644355774)], [[[43.0, 75.0], [132.0, 75.0], [132.0, 89.0], [43.0, 89.0]], ('Server: Luciano', 0.9370989203453064)], [[[225.0, 71.0], [287.0, 68.0], [288.0, 83.0], [226.0, 86.0]], ('04/24/2014', 0.993411660194397)], [[[44.0, 89.0], [104.0, 89.0], [104.0, 103.0], [44.0, 103.0]], ('Table73/1', 0.9659614562988281)], [[[241.0, 84.0], [288.0, 81.0], [289.0, 97.0], [242.0, 101.0]], ('5:59PM', 0.9236891269683838)], [[[43.0, 103.0], [101.0, 103.0], [101.0, 117.0], [43.0, 117.0]], ('Guests:3', 0.9540104866027832)], [[[255.0, 99.0], [288.0, 99.0], [288.0, 113.0], [255.0, 113.0]], ('70001', 0.999100387096405)], [[[43.0, 117.0], [117.0, 117.0], [117.0, 130.0], [43.0, 130.0]], ('Reprint #1', 0.9380265474319458)], [[[42.0, 131.0], [138.0, 129.0], [138.0, 143.0], [43.0, 144.0]], ('Area:Restaurant', 0.9674899578094482)], [[[41.0, 158.0], [150.0, 157.0], [150.0, 171.0], [42.0, 172.0]], ('Au Gratin Potatoes', 0.9623835682868958)], [[[263.0, 153.0], [291.0, 153.0], [291.0, 168.0], [263.0, 168.0]], ('9.00', 0.994532585144043)], [[[41.0, 172.0], [140.0, 171.0], [140.0, 185.0], [42.0, 186.0]], ('Brussels Sprouts', 0.9488711953163147)], [[[263.0, 168.0], [290.0, 168.0], [290.0, 183.0], [263.0, 183.0]], ('8.00', 0.9970335364341736)], [[[41.0, 187.0], [156.0, 185.0], [156.0, 199.0], [42.0, 201.0]], ('Diet Coke 2 3.00', 0.9382099509239197)], [[[263.0, 182.0], [291.0, 182.0], [291.0, 197.0], [263.0, 197.0]], ('6.00', 0.9915688633918762)], [[[41.0, 201.0], [123.0, 200.0], [124.0, 215.0], [42.0, 216.0]], ('Spinach Salad', 0.9711962938308716)], [[[259.0, 197.0], [292.0, 197.0], [292.0, 212.0], [259.0, 212.0]], ('10.00', 0.9939029812812805)], [[[41.0, 216.0], [190.0, 212.0], [190.0, 226.0], [42.0, 229.0]], ('Bone-In Ribeye 2 @68.00', 0.9281817078590393)], [[[256.0, 211.0], [292.0, 211.0], [292.0, 225.0], [256.0, 225.0]], ('136.00', 0.9934857487678528)], [[[41.0, 230.0], [141.0, 228.0], [141.0, 242.0], [42.0, 244.0]], ('Amaretto Express', 0.9667109847068787)], [[[260.0, 225.0], [293.0, 225.0], [293.0, 240.0], [260.0, 240.0]], ('16.00', 0.9954413175582886)], [[[39.0, 245.0], [187.0, 240.0], [188.0, 256.0], [40.0, 261.0]], ('Chopped Steakhouse Salad', 0.9623662829399109)], [[[262.0, 241.0], [293.0, 238.0], [294.0, 254.0], [263.0, 256.0]], ('10.00', 0.9902556538581848)], [[[39.0, 274.0], [92.0, 272.0], [93.0, 289.0], [40.0, 292.0]], ('Subtotal', 0.9947356581687927)], [[[257.0, 269.0], [296.0, 269.0], [296.0, 284.0], [257.0, 284.0]], ('195.00', 0.9953851699829102)], [[[41.0, 291.0], [63.0, 291.0], [63.0, 306.0], [41.0, 306.0]], ('Tax', 0.9960072040557861)], [[[262.0, 283.0], [297.0, 283.0], [297.0, 301.0], [262.0, 301.0]], ('15.80', 0.9951750636100769)], [[[40.0, 319.0], [74.0, 319.0], [74.0, 337.0], [40.0, 337.0]], ('Total', 0.989545464515686)], [[[258.0, 314.0], [298.0, 314.0], [298.0, 329.0], [258.0, 329.0]], ('210.80', 0.994325578212738)]]
{"store_name": "Vic&Anthony'sSteakhouse", "store_addr": "129E.FremontStreet LasVegas.NV89101", "telephone": "(702)386-8399", "date": "04/24/2014", "time": "5:59PM", "subtotal": "195.00", "tax": "15.80", "total": "210.80", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "AuGratinPotatoes", "item_value": "10.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BrusselsSprouts", "item_value": "16.00", "item_quantity": "1"}, {"item_key": "", "item_name": "DietCoke(2@3.00)", "item_value": "136.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SpinachSalad", "item_value": "10.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Bone-InRibeye(2@68.00)", "item_value": "6.00", "item_quantity": "1"}, {"item_key": "", "item_name": "AmarettoExpress", "item_value": "8.00", "item_quantity": "1"}, {"item_key": "", "item_name": "ChoppedSteakhouseSalad", "item_value": "9.00", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[59.0, 27.0], [257.0, 24.0], [257.0, 42.0], [60.0, 45.0]], ('SteakHouse District', 0.9628828167915344)], [[[75.0, 45.0], [249.0, 45.0], [249.0, 58.0], [75.0, 58.0]], ('18 rue du Vieux marche aux Grains', 0.9451131820678711)], [[[116.0, 57.0], [207.0, 57.0], [207.0, 71.0], [116.0, 71.0]], ('67000 Strasbourg', 0.9590905904769897)], [[[133.0, 70.0], [191.0, 70.0], [191.0, 84.0], [133.0, 84.0]], ('0972850853', 0.9945254325866699)], [[[129.0, 82.0], [190.0, 85.0], [190.0, 99.0], [129.0, 96.0]], ('818459927', 0.9971844553947449)], [[[92.0, 96.0], [230.0, 95.0], [230.0, 109.0], [92.0, 111.0]], ('www.steakhouse-district.fr', 0.9469560384750366)], [[[36.0, 120.0], [120.0, 122.0], [120.0, 136.0], [35.0, 135.0]], ('19/11/2016 14:21', 0.9597747921943665)], [[[36.0, 135.0], [96.0, 135.0], [96.0, 149.0], [36.0, 149.0]], ('Table:110', 0.9425690770149231)], [[[33.0, 145.0], [100.0, 148.0], [100.0, 162.0], [32.0, 160.0]], ('Couverts2', 0.9909588694572449)], [[[32.0, 159.0], [171.0, 160.0], [171.0, 174.0], [32.0, 173.0]], ('Serveur :Majid serveur M.', 0.9092941284179688)], [[[34.0, 174.0], [93.0, 174.0], [93.0, 185.0], [34.0, 185.0]], ('Prix en EUR', 0.9151477217674255)], [[[28.0, 210.0], [123.0, 212.0], [123.0, 226.0], [28.0, 224.0]], ('1 Burger E1 Bario', 0.9161117076873779)], [[[26.0, 223.0], [107.0, 226.0], [106.0, 240.0], [26.0, 237.0]], ('1 Tarte citron', 0.9498400092124939)], [[[262.0, 214.0], [293.0, 214.0], [293.0, 229.0], [262.0, 229.0]], ('17,00', 0.9603837728500366)], [[[26.0, 236.0], [127.0, 239.0], [126.0, 253.0], [26.0, 250.0]], ('1 Texas spare ribs', 0.9348862767219543)], [[[265.0, 228.0], [294.0, 228.0], [294.0, 242.0], [265.0, 242.0]], ('7,00', 0.9230895042419434)], [[[263.0, 240.0], [293.0, 242.0], [292.0, 258.0], [262.0, 255.0]], ('19,00', 0.960217297077179)], [[[25.0, 250.0], [115.0, 251.0], [115.0, 265.0], [25.0, 264.0]], ('1 Heineken 25 c1', 0.8864938020706177)], [[[24.0, 263.0], [153.0, 266.0], [152.0, 280.0], [24.0, 277.0]], ('1 100 c1 San Pe1legrino', 0.8789242506027222)], [[[266.0, 255.0], [294.0, 255.0], [294.0, 270.0], [266.0, 270.0]], ('3,30', 0.9530626535415649)], [[[24.0, 277.0], [103.0, 278.0], [103.0, 292.0], [24.0, 291.0]], ('150 c1 Vittel', 0.8524166941642761)], [[[267.0, 270.0], [294.0, 270.0], [294.0, 283.0], [267.0, 283.0]], ('6,50', 0.9467049837112427)], [[[266.0, 280.0], [293.0, 283.0], [292.0, 299.0], [265.0, 296.0]], ('3,50', 0.9617016315460205)], [[[23.0, 290.0], [83.0, 294.0], [82.0, 309.0], [22.0, 305.0]], ('1Expresso', 0.989506185054779)], [[[266.0, 295.0], [294.0, 298.0], [293.0, 313.0], [265.0, 310.0]], ('2,20', 0.9554944038391113)], [[[20.0, 305.0], [136.0, 307.0], [136.0, 322.0], [20.0, 319.0]], ('1 Decafeine expresso', 0.9458756446838379)], [[[266.0, 309.0], [293.0, 312.0], [292.0, 328.0], [265.0, 325.0]], ('2,20', 0.9546180963516235)], [[[61.0, 332.0], [182.0, 336.0], [181.0, 357.0], [60.0, 353.0]], ('Total TTC Du ', 0.8799336552619934)], [[[247.0, 336.0], [294.0, 339.0], [293.0, 361.0], [245.0, 358.0]], ('60,70', 0.9704397320747375)], [[[118.0, 364.0], [181.0, 367.0], [180.0, 384.0], [117.0, 382.0]], ('Total HT', 0.9119380116462708)], [[[261.0, 368.0], [295.0, 371.0], [294.0, 387.0], [260.0, 384.0]], ('54,92', 0.9497750401496887)], [[[142.0, 383.0], [180.0, 383.0], [180.0, 398.0], [142.0, 398.0]], ('10,00%', 0.9560173153877258)], [[[140.0, 395.0], [179.0, 398.0], [178.0, 414.0], [139.0, 412.0]], ('20,00%', 0.9319505095481873)], [[[266.0, 387.0], [295.0, 387.0], [295.0, 402.0], [266.0, 402.0]], ('5,23', 0.9353863000869751)], [[[267.0, 399.0], [296.0, 402.0], [295.0, 418.0], [266.0, 415.0]], ('0,55', 0.9376760721206665)], [[[12.0, 442.0], [36.0, 442.0], [36.0, 449.0], [12.0, 449.0]], ('112', 0.6261205673217773)]]
{"store_name": "SteakHouseDistrict", "store_addr": "67000Strasbourg 18rueduVieuxmarcheauxGrains", "telephone": "818459927", "date": "19/11/2016", "time": "14:21", "subtotal": "54,92", "tax": "5,23 0,55", "total": "60,70", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "Decafeineexpresso", "item_value": "17,00", "item_quantity": "1"}, {"item_key": "", "item_name": "Expresso", "item_value": "7,00", "item_quantity": "1"}, {"item_key": "", "item_name": "50clVittel", "item_value": "19,00", "item_quantity": "1"}, {"item_key": "", "item_name": "100clSanPellegrino", "item_value": "3,30", "item_quantity": "1"}, {"item_key": "", "item_name": "Heineken25cl", "item_value": "6,50", "item_quantity": "1"}, {"item_key": "", "item_name": "Texasspareribs", "item_value": "3,50", "item_quantity": "1"}, {"item_key": "", "item_name": "Tartecitron", "item_value": "2,20", "item_quantity": "1"}, {"item_key": "", "item_name": "BurgerElBario", "item_value": "2,20", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[95.0, 9.0], [206.0, 7.0], [207.0, 21.0], [95.0, 23.0]], ('Phone/Fax604-683-3805', 0.9353067278862)], [[[61.0, 44.0], [107.0, 44.0], [107.0, 54.0], [61.0, 54.0]], ('Z-ON SO', 0.7889572978019714)], [[[156.0, 42.0], [258.0, 37.0], [258.0, 51.0], [157.0, 56.0]], ('Recelpt No.241206166', 0.8897220492362976)], [[[60.0, 55.0], [156.0, 50.0], [156.0, 63.0], [61.0, 67.0]], ('12/29/20149:54:44', 0.9563325047492981)], [[[222.0, 51.0], [255.0, 51.0], [255.0, 62.0], [222.0, 62.0]], ('LISAM', 0.9151943325996399)], [[[60.0, 77.0], [112.0, 75.0], [113.0, 86.0], [61.0, 88.0]], ('QTy Product', 0.7500492334365845)], [[[228.0, 72.0], [260.0, 72.0], [260.0, 86.0], [228.0, 86.0]], ('Ancunt', 0.9475306868553162)], [[[60.0, 88.0], [156.0, 84.0], [156.0, 98.0], [61.0, 102.0]], ('1JT SELECT CAB SAUV', 0.8909683227539062)], [[[232.0, 84.0], [260.0, 84.0], [260.0, 97.0], [232.0, 97.0]], ('17.30', 0.9875693321228027)], [[[60.0, 99.0], [126.0, 97.0], [127.0, 110.0], [61.0, 112.0]], ('1DEPOSIT10C', 0.9197266101837158)], [[[237.0, 96.0], [259.0, 96.0], [259.0, 108.0], [237.0, 108.0]], ('0.10', 0.9905896186828613)], [[[59.0, 111.0], [155.0, 107.0], [155.0, 120.0], [60.0, 125.0]], ('1 SMAC RIDGE MERLOT', 0.8618904948234558)], [[[235.0, 108.0], [259.0, 108.0], [259.0, 120.0], [235.0, 120.0]], ('17.30', 0.9829802513122559)], [[[60.0, 122.0], [124.0, 119.0], [125.0, 133.0], [61.0, 136.0]], ('1DEPOSIT100', 0.8417568802833557)], [[[237.0, 120.0], [259.0, 120.0], [259.0, 131.0], [237.0, 131.0]], ('0.10', 0.9462606906890869)], [[[59.0, 134.0], [124.0, 130.0], [125.0, 144.0], [60.0, 148.0]], ('1PLASTIO-BAG', 0.8267495632171631)], [[[237.0, 130.0], [260.0, 130.0], [260.0, 141.0], [237.0, 141.0]], ('0.10', 0.9936589002609253)], [[[153.0, 140.0], [193.0, 140.0], [193.0, 154.0], [153.0, 154.0]], ('SubTotal', 0.9685003757476807)], [[[234.0, 141.0], [260.0, 141.0], [260.0, 152.0], [234.0, 152.0]], ('34.90', 0.9954769015312195)], [[[153.0, 153.0], [186.0, 153.0], [186.0, 167.0], [153.0, 167.0]], ('GSI5X', 0.7966576218605042)], [[[237.0, 152.0], [261.0, 152.0], [261.0, 164.0], [237.0, 164.0]], ('1.50', 0.9924577474594116)], [[[153.0, 164.0], [186.0, 164.0], [186.0, 178.0], [153.0, 178.0]], ('PST7X', 0.9201629757881165)], [[[238.0, 164.0], [260.0, 164.0], [260.0, 176.0], [238.0, 176.0]], ('0.01', 0.9732697606086731)], [[[154.0, 176.0], [203.0, 176.0], [203.0, 187.0], [154.0, 187.0]], ('LIQTAX10%', 0.9067893624305725)], [[[237.0, 174.0], [262.0, 174.0], [262.0, 189.0], [237.0, 189.0]], ('330', 0.645554780960083)], [[[154.0, 185.0], [182.0, 188.0], [181.0, 203.0], [153.0, 200.0]], ('Total', 0.9955202341079712)], [[[235.0, 187.0], [261.0, 187.0], [261.0, 199.0], [235.0, 199.0]], ('34.90', 0.9929872751235962)], [[[60.0, 201.0], [103.0, 201.0], [103.0, 215.0], [60.0, 215.0]], ('Payrents', 0.7706685066223145)], [[[154.0, 212.0], [177.0, 212.0], [177.0, 223.0], [154.0, 223.0]], ('Cash', 0.925384521484375)], [[[239.0, 209.0], [263.0, 209.0], [263.0, 223.0], [239.0, 223.0]], ('060', 0.9079902172088623)], [[[154.0, 223.0], [174.0, 223.0], [174.0, 235.0], [154.0, 235.0]], ('USD', 0.9081009030342102)], [[[237.0, 222.0], [262.0, 222.0], [262.0, 234.0], [237.0, 234.0]], ('40.00', 0.995965301990509)], [[[154.0, 235.0], [187.0, 235.0], [187.0, 249.0], [154.0, 249.0]], ('Change', 0.9972618222236633)], [[[240.0, 234.0], [263.0, 234.0], [263.0, 246.0], [240.0, 246.0]], ('6.00', 0.9940457344055176)], [[[61.0, 248.0], [127.0, 248.0], [127.0, 259.0], [61.0, 259.0]], ('Exchange Rate:', 0.9249792098999023)], [[[232.0, 245.0], [264.0, 245.0], [264.0, 259.0], [232.0, 259.0]], ('1.0000', 0.9806023240089417)], [[[61.0, 260.0], [114.0, 260.0], [114.0, 271.0], [61.0, 271.0]], ('Itea Count:', 0.8628270626068115)], [[[255.0, 259.0], [263.0, 259.0], [263.0, 269.0], [255.0, 269.0]], ('3', 0.9970623850822449)], [[[108.0, 270.0], [215.0, 270.0], [215.0, 284.0], [108.0, 284.0]], ('HST81457 6948RT0001', 0.8802152872085571)], [[[109.0, 280.0], [218.0, 281.0], [217.0, 298.0], [109.0, 297.0]], ('Open 10am-11pn Mon-Sat', 0.8615659475326538)], [[[122.0, 294.0], [202.0, 295.0], [202.0, 309.0], [122.0, 307.0]], ('Noon to 11pm Sun', 0.8631062507629395)]]
{"store_name": "", "store_addr": "", "telephone": "604-683-3806", "date": "12/29/2014", "time": "9:54:44PM", "subtotal": "", "tax": "1.50 0.01 3.00", "total": "34.90 34.90", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "DEPOSIT10c", "item_value": "17.30", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "0.10", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "17.30", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "0.10", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "0.10", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[19.0, 8.0], [156.0, 8.0], [156.0, 51.0], [19.0, 51.0]], ('Dam', 0.6446881890296936)], [[[157.0, 20.0], [279.0, 20.0], [279.0, 40.0], [157.0, 40.0]], ('by VINI DIVINI', 0.9299272894859314)], [[[4.0, 61.0], [156.0, 59.0], [156.0, 76.0], [4.0, 78.0]], ('Chaussee de Char leroi 132', 0.9570310115814209)], [[[4.0, 77.0], [108.0, 77.0], [108.0, 91.0], [4.0, 91.0]], ('1060 Saint-Gi1les', 0.9248394966125488)], [[[2.0, 92.0], [112.0, 90.0], [112.0, 104.0], [2.0, 107.0]], ('TVABE0654.930.241', 0.9716988801956177)], [[[3.0, 122.0], [106.0, 122.0], [106.0, 136.0], [3.0, 136.0]], ('CAISSE1#2:0000', 0.9542015194892883)], [[[3.0, 152.0], [143.0, 152.0], [143.0, 166.0], [3.0, 166.0]], ('jeu. 22 dec.16 12:29', 0.9204404950141907)], [[[3.0, 167.0], [50.0, 167.0], [50.0, 181.0], [3.0, 181.0]], ('Clelia', 0.9914194941520691)], [[[1.0, 182.0], [132.0, 181.0], [132.0, 195.0], [1.0, 196.0]], ('Table 14-Couverts 2', 0.9418387413024902)], [[[3.0, 212.0], [96.0, 212.0], [96.0, 226.0], [3.0, 226.0]], ('Note Provisoire', 0.9716701507568359)], [[[2.0, 242.0], [93.0, 242.0], [93.0, 256.0], [2.0, 256.0]], ('1 La Ramee 33c', 0.9270519614219666)], [[[269.0, 241.0], [298.0, 241.0], [298.0, 257.0], [269.0, 257.0]], ('3.00', 0.9944150447845459)], [[[1.0, 257.0], [49.0, 257.0], [49.0, 272.0], [1.0, 272.0]], ('1 Kriek', 0.9325966238975525)], [[[269.0, 256.0], [298.0, 256.0], [298.0, 272.0], [269.0, 272.0]], ('3.00', 0.9951192140579224)], [[[1.0, 272.0], [50.0, 272.0], [50.0, 286.0], [1.0, 286.0]], ('2Lunch', 0.9881999492645264)], [[[217.0, 273.0], [298.0, 273.0], [298.0, 287.0], [217.0, 287.0]], ('18.0036.00', 0.9877402186393738)], [[[2.0, 286.0], [100.0, 286.0], [100.0, 300.0], [2.0, 300.0]], ('1 Divers Cuisine', 0.947198748588562)], [[[265.0, 287.0], [298.0, 287.0], [298.0, 302.0], [265.0, 302.0]], ('12.00', 0.9954829216003418)], [[[30.0, 303.0], [102.0, 303.0], [102.0, 317.0], [30.0, 317.0]], ('tarte tatin', 0.971642255783081)], [[[3.0, 318.0], [102.0, 318.0], [102.0, 332.0], [3.0, 332.0]], ('1 Divers Cuisine', 0.9443069100379944)], [[[263.0, 315.0], [298.0, 315.0], [298.0, 333.0], [263.0, 333.0]], ('12.00', 0.9024437665939331)], [[[29.0, 333.0], [149.0, 331.0], [150.0, 349.0], [29.0, 350.0]], ('passione alla menta', 0.9768491983413696)], [[[3.0, 378.0], [63.0, 378.0], [63.0, 395.0], [3.0, 395.0]], ('Total', 0.997602105140686)], [[[185.0, 375.0], [248.0, 375.0], [248.0, 392.0], [185.0, 392.0]], ('66.00', 0.9970043301582336)], [[[1.0, 423.0], [89.0, 425.0], [89.0, 442.0], [1.0, 440.0]], ('A payer', 0.9581390023231506)], [[[199.0, 423.0], [264.0, 423.0], [264.0, 440.0], [199.0, 440.0]], ('66.00', 0.9968920946121216)]]
{"store_name": "", "store_addr": "Chauss\u00e9edeCharleoi132 1060Saint-Gilles", "telephone": "", "date": "jeu.22d\u00e9c.16", "time": "12:29", "subtotal": "", "tax": "", "total": "66.00 66.00", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "LaRam\u00e9e33cl", "item_value": "3.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Kriek", "item_value": "3.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Lunch", "item_value": "36.00", "item_quantity": "1"}, {"item_key": "", "item_name": "DiversCuisine", "item_value": "12.00", "item_quantity": "1"}, {"item_key": "", "item_name": "DiversCuisine", "item_value": "12.00", "item_quantity": "1"}, {"item_key": "NoteProvisoire", "item_name": "", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[264.0, 43.0], [399.0, 43.0], [399.0, 76.0], [264.0, 76.0]], ('BEST BUY #909', 0.9456493854522705)], [[[143.0, 78.0], [520.0, 76.0], [520.0, 95.0], [143.0, 97.0]], ('Thousands of Possibilities, Get Yours', 0.9387979507446289)], [[[183.0, 115.0], [469.0, 115.0], [469.0, 133.0], [183.0, 133.0]], ('3 Stavanger DriveSt.Johns', 0.9318298101425171)], [[[191.0, 133.0], [470.0, 132.0], [470.0, 150.0], [191.0, 151.0]], ('Store Phone #:709-754-1292', 0.9293451309204102)], [[[152.0, 155.0], [509.0, 155.0], [509.0, 170.0], [152.0, 170.0]], ('Geek Squad Precinct #:709-754-1626', 0.9298940300941467)], [[[141.0, 174.0], [520.0, 174.0], [520.0, 189.0], [141.0, 189.0]], ('Geek Squad Tol1 Free:1-800 GEEKSQUAD', 0.8985657095909119)], [[[240.0, 208.0], [420.0, 211.0], [420.0, 234.0], [240.0, 230.0]], ('Keep your recelpt', 0.934648334980011)], [[[105.0, 310.0], [378.0, 311.0], [378.0, 330.0], [105.0, 329.0]], ('Va1#0965-3800-9321-2718', 0.9854846000671387)], [[[101.0, 350.0], [335.0, 351.0], [335.0, 369.0], [101.0, 368.0]], ('0909042175507/25/14', 0.9960177540779114)], [[[386.0, 351.0], [443.0, 351.0], [443.0, 370.0], [386.0, 370.0]], ('09:37', 0.9460646510124207)], [[[481.0, 350.0], [527.0, 350.0], [527.0, 370.0], [481.0, 370.0]], ('EW9R', 0.9812586903572083)], [[[271.0, 390.0], [375.0, 390.0], [375.0, 410.0], [271.0, 410.0]], ('SALES', 0.9978073835372925)], [[[94.0, 428.0], [155.0, 428.0], [155.0, 446.0], [94.0, 446.0]], ('Kit1', 0.9761707782745361)], [[[473.0, 430.0], [530.0, 430.0], [530.0, 449.0], [473.0, 449.0]], ('44.99', 0.9967252612113953)], [[[97.0, 465.0], [302.0, 467.0], [302.0, 485.0], [97.0, 483.0]], ('102740447UV-00078', 0.9551743865013123)], [[[119.0, 490.0], [290.0, 490.0], [290.0, 505.0], [119.0, 505.0]], ('XBOX ONE CONSOLE', 0.9371167421340942)], [[[118.0, 509.0], [239.0, 509.0], [239.0, 527.0], [118.0, 527.0]], ('SERIAL#01', 0.9819029569625854)], [[[99.0, 529.0], [259.0, 531.0], [259.0, 549.0], [99.0, 547.0]], ('1025565053769', 0.9973970055580139)], [[[118.0, 551.0], [303.0, 551.0], [303.0, 570.0], [118.0, 570.0]], ('X1 RAYMAN LEGENDS', 0.9557108283042908)], [[[100.0, 574.0], [525.0, 574.0], [525.0, 589.0], [100.0, 589.0]], ('X**********', 0.5172367095947266)], [[[99.0, 592.0], [326.0, 593.0], [326.0, 611.0], [99.0, 610.0]], ('10304913XB1-Bonus G', 0.9441829323768616)], [[[480.0, 591.0], [527.0, 591.0], [527.0, 610.0], [480.0, 610.0]], ('0.00', 0.8907691240310669)], [[[120.0, 614.0], [333.0, 614.0], [333.0, 629.0], [120.0, 629.0]], ('XB1BGW/CONSOLEPURCH', 0.9694166779518127)], [[[103.0, 636.0], [310.0, 636.0], [310.0, 651.0], [103.0, 651.0]], ('10091598REWARDZONE', 0.9587226510047913)], [[[480.0, 631.0], [527.0, 631.0], [527.0, 652.0], [480.0, 652.0]], ('0.00', 0.9934533834457397)], [[[122.0, 655.0], [309.0, 655.0], [309.0, 670.0], [122.0, 670.0]], ('RZ COLLECTION-CORE', 0.9639041423797607)], [[[119.0, 674.0], [211.0, 673.0], [212.0, 692.0], [120.0, 693.0]], ('SERIAL #', 0.9322048425674438)], [[[324.0, 716.0], [406.0, 716.0], [406.0, 734.0], [324.0, 734.0]], ('SUBTOTAL', 0.9960436820983887)], [[[471.0, 714.0], [530.0, 714.0], [530.0, 737.0], [471.0, 737.0]], ('44.99', 0.9930254817008972)], [[[344.0, 737.0], [408.0, 737.0], [408.0, 756.0], [344.0, 756.0]], ('HST NF', 0.9334283471107483)], [[[481.0, 736.0], [529.0, 738.0], [528.0, 759.0], [479.0, 756.0]], ('5.85', 0.9123653173446655)], [[[355.0, 776.0], [408.0, 779.0], [407.0, 802.0], [353.0, 800.0]], ('TOTAL', 0.9980157017707825)], [[[471.0, 779.0], [532.0, 779.0], [532.0, 801.0], [471.0, 801.0]], ('50.84', 0.9844064712524414)], [[[332.0, 825.0], [409.0, 825.0], [409.0, 844.0], [332.0, 844.0]], ('RZ CERT', 0.9451763033866882)], [[[474.0, 823.0], [533.0, 823.0], [533.0, 846.0], [474.0, 846.0]], ('10.00', 0.9970743060112)], [[[139.0, 845.0], [465.0, 848.0], [464.0, 867.0], [139.0, 864.0]], ('XXXXXXXXXXXXXXXXXXXXXXXXXX6317', 0.7778182625770569)], [[[128.0, 868.0], [345.0, 868.0], [345.0, 890.0], [128.0, 890.0]], ('nsact ion Record SALE', 0.8959687352180481)], [[[274.0, 888.0], [346.0, 891.0], [346.0, 913.0], [273.0, 911.0]], ('C VISA', 0.9207084774971008)], [[[474.0, 891.0], [534.0, 891.0], [534.0, 913.0], [474.0, 913.0]], ('40.84', 0.9842734336853027)], [[[92.0, 910.0], [255.0, 912.0], [255.0, 933.0], [92.0, 931.0]], ('Approved 095499', 0.9543522596359253)], [[[92.0, 930.0], [243.0, 935.0], [243.0, 956.0], [91.0, 951.0]], ('TERM:0909042E', 0.9518999457359314)], [[[90.0, 956.0], [309.0, 960.0], [309.0, 978.0], [90.0, 974.0]], ('SEQN0:001001001419', 0.955073356628418)], [[[88.0, 977.0], [243.0, 982.0], [243.0, 1002.0], [88.0, 997.0]], ('ACI/1S0 001/00', 0.9158906936645508)], [[[88.0, 1000.0], [276.0, 1004.0], [275.0, 1023.0], [88.0, 1020.0]], ('7/25/20149:36:50', 0.9641637802124023)]]
{"store_name": "BESTBUY#909", "store_addr": "3StavangerDrive,St.Johns", "telephone": "709-754-1292", "date": "7/25/2014 07/25/14", "time": "9:36:50", "subtotal": "44.99", "tax": "5.85", "total": "50.84", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "RZCOLLECTION-CORE", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "10091598REWARDZONE", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "XB1BGW/CONSOLEPURCH", "item_value": "44.99", "item_quantity": "1"}, {"item_key": "", "item_name": "10304913XB1-BonusG", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "X1RAYMANLEGENDS", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "SERIAL#01", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "XBOXONECONSOLE", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[97.0, 54.0], [202.0, 52.0], [203.0, 69.0], [97.0, 71.0]], ('Richards Pizza West Side', 0.9306740760803223)], [[[122.0, 76.0], [181.0, 74.0], [182.0, 88.0], [122.0, 91.0]], ('e ton45013', 0.7484375834465027)], [[[136.0, 70.0], [169.0, 70.0], [169.0, 77.0], [136.0, 77.0]], ('17Main St', 0.7728517055511475)], [[[128.0, 87.0], [176.0, 86.0], [176.0, 97.0], [128.0, 99.0]], ('513-094-3296x', 0.8309822082519531)], [[[136.0, 107.0], [177.0, 107.0], [177.0, 127.0], [136.0, 127.0]], ('Tent6', 0.9840696454048157)], [[[129.0, 125.0], [183.0, 123.0], [184.0, 143.0], [129.0, 144.0]], ('Ticket 82', 0.9272916316986084)], [[[57.0, 144.0], [95.0, 144.0], [95.0, 163.0], [57.0, 163.0]], ('DINE IN', 0.9481745362281799)], [[[57.0, 161.0], [83.0, 161.0], [83.0, 181.0], [57.0, 181.0]], ('Paid', 0.9957715272903442)], [[[130.0, 174.0], [189.0, 174.0], [189.0, 195.0], [130.0, 195.0]], ('1 of 1 Itens', 0.7826356291770935)], [[[102.0, 192.0], [215.0, 185.0], [216.0, 199.0], [103.0, 206.0]], ('roerPlaced 7-04-201407:35m', 0.7731499075889587)], [[[59.0, 207.0], [102.0, 206.0], [102.0, 214.0], [60.0, 215.0]], ('SereraMik', 0.8037770986557007)], [[[59.0, 228.0], [110.0, 228.0], [110.0, 249.0], [59.0, 249.0]], ('113 inch', 0.9079551696777344)], [[[58.0, 249.0], [160.0, 246.0], [161.0, 267.0], [59.0, 270.0]], ('Vegi Delite ote t', 0.8004698753356934)], [[[207.0, 256.0], [241.0, 253.0], [243.0, 277.0], [209.0, 280.0]], ('$19.85', 0.9673596024513245)], [[[56.0, 275.0], [103.0, 273.0], [104.0, 287.0], [57.0, 290.0]], ('More Cheese', 0.9081817865371704)], [[[225.0, 286.0], [259.0, 283.0], [261.0, 307.0], [227.0, 310.0]], ('$19.85', 0.9402613043785095)], [[[55.0, 298.0], [109.0, 295.0], [110.0, 320.0], [57.0, 323.0]], ('Subtotal:', 0.9805142879486084)], [[[230.0, 305.0], [262.0, 302.0], [264.0, 326.0], [232.0, 329.0]], ('$1.29', 0.9893652200698853)], [[[57.0, 321.0], [113.0, 318.0], [114.0, 340.0], [58.0, 343.0]], ('Sales Tax', 0.9482017159461975)], [[[229.0, 325.0], [264.0, 321.0], [267.0, 346.0], [232.0, 350.0]], ('$25.00', 0.9229932427406311)], [[[57.0, 341.0], [88.0, 338.0], [90.0, 362.0], [59.0, 365.0]], ('Cash:', 0.9801108241081238)], [[[233.0, 346.0], [271.0, 346.0], [271.0, 372.0], [233.0, 372.0]], ('$21.14', 0.9531242847442627)], [[[56.0, 363.0], [124.0, 357.0], [126.0, 383.0], [58.0, 389.0]], ('Grand Total:', 0.8775314688682556)], [[[237.0, 382.0], [271.0, 379.0], [273.0, 405.0], [238.0, 407.0]], ('$25.00', 0.9340566992759705)], [[[56.0, 397.0], [109.0, 393.0], [111.0, 420.0], [58.0, 425.0]], ('Tendered:', 0.8749949932098389)], [[[243.0, 403.0], [275.0, 400.0], [277.0, 427.0], [245.0, 429.0]], ('$3.66', 0.9644535183906555)], [[[57.0, 423.0], [120.0, 417.0], [123.0, 443.0], [59.0, 449.0]], ('Change Due:', 0.9407127499580383)]]
{"store_name": "RichardsPizzawestSide", "store_addr": "", "telephone": "", "date": "07-04-2014", "time": "07:35FM", "subtotal": "$19.85", "tax": "$1.29", "total": "$21.14", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "VegiDelite", "item_value": "$19.85", "item_quantity": "1"}, {"item_key": "", "item_name": "inch", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[165.0, 7.0], [462.0, 1.0], [462.0, 24.0], [165.0, 30.0]], ('FAMILY RESTAURANT', 0.9715994596481323)], [[[228.0, 33.0], [405.0, 31.0], [405.0, 52.0], [228.0, 54.0]], ('10 Sinaran Drive', 0.9503580331802368)], [[[229.0, 55.0], [404.0, 54.0], [404.0, 75.0], [229.0, 76.0]], ('#03-33 Square 2', 0.9413061141967773)], [[[231.0, 78.0], [404.0, 76.0], [404.0, 97.0], [231.0, 99.0]], ('Singapore 307506', 0.9695020914077759)], [[[245.0, 99.0], [382.0, 99.0], [382.0, 119.0], [245.0, 119.0]], ('Te:63976752', 0.960314929485321)], [[[103.0, 135.0], [442.0, 138.0], [442.0, 165.0], [103.0, 162.0]], ('Receipt No.:00045839', 0.9612029194831848)], [[[100.0, 180.0], [256.0, 182.0], [256.0, 206.0], [100.0, 204.0]], ('Table:17', 0.9602648019790649)], [[[96.0, 204.0], [442.0, 205.0], [442.0, 229.0], [96.0, 228.0]], ('Date&time:23-08-16 12:22', 0.9461567997932434)], [[[97.0, 225.0], [289.0, 228.0], [289.0, 249.0], [97.0, 246.0]], ('Cashier:Marinel', 0.9342761635780334)], [[[97.0, 265.0], [294.0, 269.0], [294.0, 293.0], [97.0, 289.0]], ('1HP-Boodae Jigae', 0.9667246341705322)], [[[491.0, 266.0], [551.0, 266.0], [551.0, 291.0], [491.0, 291.0]], ('42.80', 0.9960097074508667)], [[[328.0, 311.0], [425.0, 311.0], [425.0, 332.0], [328.0, 332.0]], ('Sub-Total', 0.9834787845611572)], [[[494.0, 310.0], [554.0, 310.0], [554.0, 332.0], [494.0, 332.0]], ('42.80', 0.9955647587776184)], [[[283.0, 330.0], [440.0, 333.0], [440.0, 357.0], [283.0, 354.0]], ('10%Svc Charge', 0.9405526518821716)], [[[506.0, 332.0], [556.0, 332.0], [556.0, 354.0], [506.0, 354.0]], ('4.28', 0.9943211078643799)], [[[361.0, 355.0], [427.0, 355.0], [427.0, 377.0], [361.0, 377.0]], ('7%GST', 0.9952770471572876)], [[[507.0, 353.0], [558.0, 353.0], [558.0, 376.0], [507.0, 376.0]], ('3.30', 0.9970240592956543)], [[[87.0, 396.0], [181.0, 396.0], [181.0, 424.0], [87.0, 424.0]], ('13:29', 0.9699872136116028)], [[[286.0, 399.0], [374.0, 399.0], [374.0, 424.0], [286.0, 424.0]], ('TOTAL', 0.9986213445663452)], [[[470.0, 398.0], [564.0, 398.0], [564.0, 423.0], [470.0, 423.0]], ('50.40', 0.9982926249504089)], [[[302.0, 426.0], [378.0, 428.0], [377.0, 453.0], [301.0, 451.0]], ('VISA', 0.9979436993598938)], [[[470.0, 426.0], [567.0, 426.0], [567.0, 454.0], [470.0, 454.0]], ('50.40', 0.9977575540542603)], [[[77.0, 547.0], [217.0, 545.0], [217.0, 566.0], [77.0, 568.0]], ('Guest Name', 0.9734037518501282)]]
{"store_name": "FAMILYRESTAURANT", "store_addr": "10SinaranDrive #03-33Square2 Singapore307506", "telephone": "63976752", "date": "23-08-16", "time": "12:22", "subtotal": "42.80", "tax": "3.30", "total": "50.40 50.40", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "HP-BoodaeJigae", "item_value": "42.80", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[63.0, 11.0], [294.0, 13.0], [294.0, 33.0], [62.0, 30.0]], ('PANCHO VILLA', 0.9665875434875488)], [[[123.0, 36.0], [276.0, 36.0], [276.0, 56.0], [123.0, 56.0]], ('TAQUERIA', 0.99709552526474)], [[[159.0, 57.0], [240.0, 59.0], [239.0, 81.0], [158.0, 79.0]], ('PIER ONE', 0.9600826501846313)], [[[93.0, 83.0], [304.0, 83.0], [304.0, 102.0], [93.0, 102.0]], ('SAN FRANCISCO CA94111', 0.9355111718177795)], [[[115.0, 107.0], [277.0, 107.0], [277.0, 127.0], [115.0, 127.0]], ('TEL415.982.2182', 0.9898163676261902)], [[[7.0, 154.0], [143.0, 154.0], [143.0, 173.0], [7.0, 173.0]], ('25ORDER TAKER', 0.9583227634429932)], [[[8.0, 201.0], [106.0, 201.0], [106.0, 222.0], [8.0, 222.0]], ('Check:410', 0.9646749496459961)], [[[307.0, 202.0], [396.0, 202.0], [396.0, 223.0], [307.0, 223.0]], ('Guests:1', 0.9421026706695557)], [[[115.0, 224.0], [290.0, 226.0], [289.0, 246.0], [114.0, 244.0]], ('06/29/200808:45PM', 0.9706531763076782)], [[[87.0, 273.0], [318.0, 274.0], [318.0, 294.0], [86.0, 293.0]], ('**FORHERE**', 0.9533576369285583)], [[[6.0, 298.0], [23.0, 298.0], [23.0, 317.0], [6.0, 317.0]], ('1', 0.8505695462226868)], [[[59.0, 296.0], [183.0, 299.0], [183.0, 316.0], [58.0, 314.0]], ('STK PRAWN BUR', 0.9295778870582581)], [[[307.0, 297.0], [350.0, 297.0], [350.0, 318.0], [307.0, 318.0]], ('9.85', 0.9968768954277039)], [[[7.0, 320.0], [24.0, 320.0], [24.0, 341.0], [7.0, 341.0]], ('1', 0.983405590057373)], [[[58.0, 321.0], [176.0, 321.0], [176.0, 342.0], [58.0, 342.0]], ('ESPECIA BUR', 0.954928457736969)], [[[307.0, 319.0], [351.0, 319.0], [351.0, 343.0], [307.0, 343.0]], ('6.95', 0.9926254749298096)], [[[58.0, 367.0], [136.0, 367.0], [136.0, 389.0], [58.0, 389.0]], ('SUBTOTAL', 0.9959367513656616)], [[[300.0, 367.0], [351.0, 367.0], [351.0, 389.0], [300.0, 389.0]], ('16.80', 0.9946085810661316)], [[[57.0, 390.0], [94.0, 395.0], [91.0, 414.0], [54.0, 410.0]], ('Tax', 0.992654025554657)], [[[308.0, 390.0], [352.0, 390.0], [352.0, 413.0], [308.0, 413.0]], ('1.43', 0.9859481453895569)], [[[14.0, 416.0], [183.0, 416.0], [183.0, 436.0], [14.0, 436.0]], ('TOTAL DUE', 0.954992413520813)], [[[281.0, 417.0], [396.0, 415.0], [396.0, 435.0], [282.0, 438.0]], ('$18.23', 0.9318808913230896)], [[[32.0, 535.0], [359.0, 534.0], [359.0, 554.0], [32.0, 555.0]], ('ORDER YOUR DRINKS', 0.9502802491188049)], [[[108.0, 559.0], [301.0, 558.0], [301.0, 578.0], [108.0, 579.0]], ('AND PAYAT', 0.950555682182312)], [[[93.0, 583.0], [322.0, 583.0], [322.0, 603.0], [93.0, 603.0]], ('THE REGISTER', 0.9659139513969421)], [[[14.0, 630.0], [343.0, 628.0], [343.0, 649.0], [14.0, 650.0]], ('Order Number:410', 0.9216439723968506)]]
{"store_name": "PANCHOVILLA TAQUERIA", "store_addr": "PIERONE SANFRANCISCOCA94111", "telephone": "415.982.2182", "date": "06/29/2008", "time": "08:45PM", "subtotal": "16.80", "tax": "1.43", "total": "$18.23", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "STKPRAWNBUR", "item_value": "9.85", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "6.95", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[353.0, 215.0], [605.0, 135.0], [615.0, 166.0], [363.0, 246.0]], ('BALENCIAGA', 0.9964997172355652)], [[[470.0, 233.0], [539.0, 213.0], [545.0, 234.0], [476.0, 254.0]], ('George U', 0.8803948163986206)], [[[446.0, 256.0], [478.0, 256.0], [478.0, 275.0], [446.0, 275.0]], ('10.', 0.8966469168663025)], [[[451.0, 317.0], [622.0, 255.0], [632.0, 282.0], [460.0, 343.0]], ('Date9/6/1713:3215', 0.9594643712043762)], [[[693.0, 332.0], [720.0, 324.0], [726.0, 344.0], [698.0, 352.0]], ('EUR', 0.9914551377296448)], [[[416.0, 348.0], [524.0, 315.0], [530.0, 334.0], [421.0, 367.0]], ('80301 Caisse', 0.9560558199882507)], [[[328.0, 359.0], [396.0, 341.0], [401.0, 360.0], [333.0, 378.0]], ('Ticket', 0.9872512817382812)], [[[584.0, 364.0], [637.0, 364.0], [637.0, 408.0], [584.0, 408.0]], ('495,00', 0.674324095249176)], [[[338.0, 392.0], [402.0, 372.0], [408.0, 390.0], [344.0, 411.0]], ('Caissier', 0.9949630498886108)], [[[343.0, 404.0], [409.0, 388.0], [413.0, 406.0], [348.0, 422.0]], ('Client:', 0.9767972230911255)], [[[345.0, 419.0], [531.0, 360.0], [539.0, 383.0], [353.0, 442.0]], ('ID client0031299000750', 0.9154629111289978)], [[[462.0, 413.0], [491.0, 410.0], [494.0, 431.0], [464.0, 434.0]], ('Qte', 0.9275696873664856)], [[[366.0, 452.0], [420.0, 434.0], [425.0, 449.0], [370.0, 467.0]], ('Article', 0.9932527542114258)], [[[721.0, 445.0], [771.0, 431.0], [783.0, 472.0], [733.0, 487.0]], ('42.50', 0.7698662877082825)], [[[377.0, 475.0], [460.0, 448.0], [468.0, 471.0], [385.0, 498.0]], ("MEN'S SHOES", 0.9272054433822632)], [[[672.0, 483.0], [696.0, 483.0], [696.0, 499.0], [672.0, 499.0]], ('TUA', 0.949158251285553)], [[[740.0, 487.0], [785.0, 476.0], [791.0, 500.0], [745.0, 511.0]], ('495.00', 0.9936383366584778)], [[[646.0, 523.0], [704.0, 506.0], [710.0, 529.0], [652.0, 545.0]], ('TTC(EUR)', 0.9411073923110962)], [[[748.0, 514.0], [796.0, 504.0], [801.0, 530.0], [754.0, 539.0]], ('495.00', 0.9541492462158203)], [[[770.0, 540.0], [807.0, 532.0], [812.0, 556.0], [775.0, 563.0]], ('0,00', 0.8892980813980103)], [[[821.0, 600.0], [848.0, 600.0], [848.0, 621.0], [821.0, 621.0]], ('TUA', 0.9913546442985535)], [[[808.0, 624.0], [849.0, 609.0], [857.0, 632.0], [816.0, 647.0]], ('02.50', 0.8753072619438171)], [[[432.0, 640.0], [469.0, 633.0], [472.0, 653.0], [436.0, 660.0]], ('Visa', 0.9761261940002441)], [[[443.0, 668.0], [485.0, 654.0], [492.0, 678.0], [450.0, 692.0]], ('Solde', 0.9845792651176453)], [[[620.0, 682.0], [639.0, 682.0], [639.0, 701.0], [620.0, 701.0]], ('HT', 0.9920269250869751)], [[[451.0, 699.0], [599.0, 640.0], [609.0, 665.0], [461.0, 724.0]], ("Nonbre d'article=1", 0.9368686676025391)], [[[592.0, 706.0], [641.0, 688.0], [649.0, 712.0], [601.0, 730.0]], ('412.50', 0.9777469635009766)], [[[461.0, 728.0], [540.0, 698.0], [549.0, 721.0], [470.0, 751.0]], ('Detail TUA', 0.9007490277290344)], [[[470.0, 744.0], [506.0, 735.0], [510.0, 754.0], [475.0, 763.0]], ('Code', 0.9526510238647461)], [[[529.0, 900.0], [553.0, 894.0], [557.0, 910.0], [533.0, 916.0]], ('L87', 0.7404942512512207)], [[[557.0, 902.0], [580.0, 902.0], [580.0, 919.0], [557.0, 919.0]], ('sur', 0.9941994547843933)], [[[569.0, 969.0], [602.0, 958.0], [608.0, 975.0], [575.0, 986.0]], ('when', 0.9544475078582764)], [[[594.0, 978.0], [621.0, 963.0], [629.0, 979.0], [602.0, 993.0]], ('and', 0.9978805184364319)], [[[728.0, 980.0], [813.0, 943.0], [822.0, 965.0], [738.0, 1002.0]], ('Copie Client', 0.9508004784584045)]]
{"store_name": "BALENCIAGA", "store_addr": "GeorgeV 10.avenueGeorgeV Paris75008", "telephone": "+33147202111", "date": "9/6/17", "time": "13:32:15", "subtotal": "412.50 412.50", "tax": "82.50 82.50", "total": "495.00 495.00 495.00", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "MEN'SSHOES", "item_value": "495.00", "item_quantity": "1"}, {"item_key": "Article", "item_name": "", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[189.0, 20.0], [506.0, 22.0], [505.0, 59.0], [189.0, 57.0]], ('BrooklynNY 11211', 0.9334211945533752)], [[[193.0, 67.0], [403.0, 71.0], [402.0, 104.0], [193.0, 100.0]], ('718-302-5533', 0.9915962815284729)], [[[190.0, 163.0], [857.0, 173.0], [856.0, 210.0], [189.0, 200.0]], ('******** Your Purchases Today **x*****', 0.8091796040534973)], [[[209.0, 207.0], [471.0, 217.0], [470.0, 251.0], [207.0, 241.0]], ('Valued Customer', 0.9810577630996704)], [[[665.0, 223.0], [851.0, 223.0], [851.0, 249.0], [665.0, 249.0]], ('42000717156', 0.9976661205291748)], [[[190.0, 254.0], [855.0, 265.0], [854.0, 303.0], [189.0, 291.0]], ('****x Welcome Rewards Customer ****', 0.862698495388031)], [[[366.0, 302.0], [677.0, 310.0], [676.0, 343.0], [366.0, 336.0]], ('Card # 42000717156', 0.9480530619621277)], [[[243.0, 345.0], [318.0, 345.0], [318.0, 380.0], [243.0, 380.0]], ('4640', 0.9970225095748901)], [[[208.0, 391.0], [349.0, 391.0], [349.0, 425.0], [208.0, 425.0]], ('2@1.49', 0.9088382720947266)], [[[328.0, 436.0], [590.0, 442.0], [590.0, 475.0], [327.0, 469.0]], ('ROMAINE LETTUCE', 0.9772838354110718)], [[[741.0, 442.0], [855.0, 442.0], [855.0, 480.0], [741.0, 480.0]], ('2.98F', 0.9083223342895508)], [[[244.0, 480.0], [318.0, 480.0], [318.0, 516.0], [244.0, 516.0]], ('4087', 0.9988166093826294)], [[[206.0, 525.0], [520.0, 531.0], [520.0, 562.0], [206.0, 556.0]], ('1.18 1b@1.99 /1b', 0.906912624835968)], [[[191.0, 570.0], [230.0, 570.0], [230.0, 601.0], [191.0, 601.0]], ('WT', 0.9948254823684692)], [[[331.0, 571.0], [574.0, 575.0], [573.0, 607.0], [331.0, 603.0]], ('TOMATOES:PLUM', 0.9688656330108643)], [[[741.0, 577.0], [849.0, 577.0], [849.0, 610.0], [741.0, 610.0]], ('2.35F', 0.9874733686447144)], [[[242.0, 610.0], [317.0, 615.0], [315.0, 650.0], [240.0, 645.0]], ('4159', 0.9983611702919006)], [[[206.0, 657.0], [520.0, 662.0], [520.0, 694.0], [206.0, 688.0]], ('0.651b@1.49/1b', 0.9382857084274292)], [[[189.0, 701.0], [230.0, 701.0], [230.0, 733.0], [189.0, 733.0]], ('WT', 0.9940043687820435)], [[[328.0, 703.0], [572.0, 707.0], [571.0, 739.0], [327.0, 735.0]], ('ONIONS:VIDALIA', 0.9680646657943726)], [[[738.0, 703.0], [848.0, 707.0], [846.0, 744.0], [737.0, 740.0]], ('0.97F', 0.9896156191825867)], [[[243.0, 746.0], [318.0, 746.0], [318.0, 779.0], [243.0, 779.0]], ('4103', 0.9966142177581787)], [[[206.0, 788.0], [519.0, 794.0], [518.0, 826.0], [206.0, 820.0]], ('1.471b@1.69/1b', 0.9682244658470154)], [[[189.0, 833.0], [230.0, 833.0], [230.0, 865.0], [189.0, 865.0]], ('WT', 0.994674026966095)], [[[327.0, 835.0], [603.0, 839.0], [603.0, 870.0], [327.0, 866.0]], ('APPLES:BRAEBURN', 0.9628614783287048)], [[[737.0, 840.0], [847.0, 840.0], [847.0, 874.0], [737.0, 874.0]], ('2.48F', 0.9861999750137329)], [[[243.0, 875.0], [414.0, 880.0], [413.0, 913.0], [242.0, 909.0]], ('1115329331', 0.9981999397277832)], [[[322.0, 920.0], [673.0, 926.0], [672.0, 963.0], [321.0, 957.0]], ('FT WK SWEET CORN NP', 0.9131020903587341)], [[[737.0, 929.0], [846.0, 929.0], [846.0, 963.0], [737.0, 963.0]], ('0.99F', 0.9837220907211304)], [[[243.0, 968.0], [432.0, 968.0], [432.0, 1000.0], [243.0, 1000.0]], ('85495500210', 0.9985275268554688)], [[[324.0, 1009.0], [636.0, 1017.0], [635.0, 1050.0], [323.0, 1042.0]], ('EL COMPI ARROZ LEC', 0.9497866034507751)], [[[736.0, 1013.0], [846.0, 1017.0], [845.0, 1052.0], [735.0, 1048.0]], ('1.49F', 0.972850501537323)], [[[243.0, 1052.0], [412.0, 1058.0], [411.0, 1089.0], [242.0, 1083.0]], ('1115329241', 0.9979000091552734)], [[[324.0, 1096.0], [669.0, 1102.0], [669.0, 1134.0], [323.0, 1128.0]], ('FT PEAS&DICED CARRNP', 0.9500375986099243)], [[[735.0, 1106.0], [846.0, 1106.0], [846.0, 1139.0], [735.0, 1139.0]], ('0.99F', 0.9870111346244812)], [[[243.0, 1135.0], [434.0, 1141.0], [433.0, 1173.0], [242.0, 1167.0]], ('20894800000', 0.9982602596282959)], [[[328.0, 1180.0], [568.0, 1188.0], [567.0, 1217.0], [327.0, 1209.0]], ('CHICK STIR FRY', 0.9454423785209656)], [[[737.0, 1193.0], [846.0, 1193.0], [846.0, 1226.0], [737.0, 1226.0]], ('6.57F', 0.985641360282898)], [[[244.0, 1221.0], [318.0, 1221.0], [318.0, 1254.0], [244.0, 1254.0]], ('4068', 0.9971238970756531)], [[[329.0, 1265.0], [483.0, 1265.0], [483.0, 1297.0], [329.0, 1297.0]], ('SCALLIONS', 0.9975133538246155)], [[[734.0, 1272.0], [846.0, 1277.0], [845.0, 1310.0], [733.0, 1306.0]], ('0.79F', 0.9813103675842285)], [[[248.0, 1306.0], [419.0, 1306.0], [419.0, 1338.0], [248.0, 1338.0]], ('1800028794', 0.9978377223014832)], [[[329.0, 1347.0], [570.0, 1351.0], [570.0, 1382.0], [329.0, 1378.0]], ('PILL PIE CRUST', 0.9475998878479004)], [[[634.0, 1354.0], [673.0, 1354.0], [673.0, 1388.0], [634.0, 1388.0]], ('NP', 0.9962348937988281)], [[[737.0, 1354.0], [846.0, 1360.0], [844.0, 1394.0], [735.0, 1387.0]], ('3.99F', 0.9917427897453308)], [[[250.0, 1395.0], [415.0, 1395.0], [415.0, 1421.0], [250.0, 1421.0]], ('8660000025', 0.9976560473442078)], [[[329.0, 1434.0], [671.0, 1436.0], [671.0, 1468.0], [329.0, 1466.0]], ('BB CHNK WHITE TUNANP', 0.9438527822494507)], [[[737.0, 1440.0], [846.0, 1440.0], [846.0, 1473.0], [737.0, 1473.0]], ('1.99F', 0.9788830876350403)], [[[329.0, 1477.0], [390.0, 1477.0], [390.0, 1512.0], [329.0, 1512.0]], ('TAX', 0.9037078022956848)], [[[735.0, 1478.0], [813.0, 1483.0], [811.0, 1518.0], [733.0, 1513.0]], ('0.00', 0.9967510104179382)], [[[248.0, 1521.0], [452.0, 1521.0], [452.0, 1553.0], [248.0, 1553.0]], ('****BALANCE', 0.877070963382721)], [[[720.0, 1521.0], [811.0, 1525.0], [809.0, 1561.0], [718.0, 1556.0]], ('25.59', 0.9956820607185364)], [[[195.0, 1564.0], [827.0, 1570.0], [827.0, 1601.0], [195.0, 1595.0]], ('*************************************', 0.6552112698554993)], [[[199.0, 1610.0], [555.0, 1610.0], [555.0, 1642.0], [199.0, 1642.0]], ('AMEX Card - SWIPED AX', 0.9093804359436035)], [[[195.0, 1651.0], [724.0, 1653.0], [724.0, 1686.0], [195.0, 1684.0]], ('ACCOUNT NUMBER*********1019', 0.8574551939964294)], [[[199.0, 1699.0], [551.0, 1699.0], [551.0, 1725.0], [199.0, 1725.0]], ('APPR0VALC0DE:543529', 0.9483318328857422)], [[[197.0, 1744.0], [551.0, 1744.0], [551.0, 1770.0], [197.0, 1770.0]], ('SEQUENCE NUMBER:3397', 0.9482316970825195)]]
{"store_name": "", "store_addr": "Brooklyn,NY11211", "telephone": "718-302-5533", "date": "", "time": "", "subtotal": "", "tax": "0.00", "total": "25.59", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "ROMAINELETTUCE", "item_value": "2.98", "item_quantity": "1"}, {"item_key": "", "item_name": "TOMATOES:PLUM", "item_value": "2.35", "item_quantity": "1"}, {"item_key": "", "item_name": "ONIONS:VIDALIA", "item_value": "0.97", "item_quantity": "1"}, {"item_key": "", "item_name": "APPLES:BRAEBURN", "item_value": "2.48", "item_quantity": "1"}, {"item_key": "", "item_name": "FTWKSWEETCORN", "item_value": "0.99", "item_quantity": "1"}, {"item_key": "", "item_name": "ELCOMPIARROZLEC", "item_value": "1.49", "item_quantity": "1"}, {"item_key": "", "item_name": "FTPEAS&DICEDCARRNP", "item_value": "0.99", "item_quantity": "1"}, {"item_key": "", "item_name": "CHICKSTIRFRY", "item_value": "6.57", "item_quantity": "1"}, {"item_key": "", "item_name": "SCALLIONS", "item_value": "0.79", "item_quantity": "1"}, {"item_key": "", "item_name": "PILLPIECRUST", "item_value": "3.99", "item_quantity": "1"}, {"item_key": "", "item_name": "BBCHNKWHITETUNANP", "item_value": "1.99", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[342.0, 344.0], [648.0, 342.0], [648.0, 374.0], [342.0, 375.0]], ('WHEREHOUSE#1478', 0.9824486374855042)], [[[307.0, 384.0], [685.0, 383.0], [685.0, 410.0], [307.0, 412.0]], ('17542HAWTHORNEBLVD', 0.9736533761024475)], [[[268.0, 421.0], [706.0, 418.0], [706.0, 448.0], [269.0, 451.0]], ('TORRANCE CA90504-3110', 0.9345793724060059)], [[[379.0, 459.0], [613.0, 456.0], [613.0, 488.0], [380.0, 490.0]], ('310-371-0994', 0.9630891680717468)], [[[75.0, 536.0], [285.0, 533.0], [285.0, 565.0], [75.0, 568.0]], ('STORE:01478', 0.923264741897583)], [[[421.0, 533.0], [651.0, 533.0], [651.0, 565.0], [421.0, 565.0]], ('REGISTER:003', 0.9229452610015869)], [[[75.0, 574.0], [324.0, 571.0], [324.0, 603.0], [75.0, 605.0]], ('CASHIER:COBRA', 0.9678935408592224)], [[[75.0, 648.0], [476.0, 646.0], [476.0, 677.0], [75.0, 680.0]], ('CUSTCMER RECEIPTCOPY', 0.9651004672050476)], [[[77.0, 726.0], [534.0, 722.0], [534.0, 752.0], [78.0, 756.0]], ("GREAT HITS-NAUGHTY'S NIC", 0.9242170453071594)], [[[725.0, 719.0], [808.0, 719.0], [808.0, 757.0], [725.0, 757.0]], ('7.99', 0.9926079511642456)], [[[114.0, 764.0], [573.0, 761.0], [573.0, 791.0], [114.0, 794.0]], ('000000000000400092359794', 0.9945600628852844)], [[[385.0, 799.0], [592.0, 799.0], [592.0, 830.0], [385.0, 830.0]], ('QTY 1@7.99', 0.9416971206665039)], [[[76.0, 838.0], [537.0, 835.0], [537.0, 867.0], [76.0, 869.0]], ('MEGA JAMMIN OLDIES1 129', 0.9345951676368713)], [[[725.0, 831.0], [808.0, 831.0], [808.0, 869.0], [725.0, 869.0]], ('4.99', 0.9943062663078308)], [[[115.0, 879.0], [572.0, 874.0], [572.0, 902.0], [115.0, 906.0]], ('000000000000400029966439', 0.9946565628051758)], [[[385.0, 912.0], [592.0, 912.0], [592.0, 944.0], [385.0, 944.0]], ('QTY1@4.99', 0.9755172729492188)], [[[77.0, 953.0], [537.0, 949.0], [537.0, 980.0], [78.0, 984.0]], ('WORLD WRESTLINGFED.079', 0.9378303289413452)], [[[724.0, 946.0], [809.0, 946.0], [809.0, 984.0], [724.0, 984.0]], ('5.99', 0.9947206974029541)], [[[115.0, 991.0], [573.0, 988.0], [573.0, 1018.0], [115.0, 1021.0]], ('000000000000400049281314', 0.994487464427948)], [[[383.0, 1028.0], [593.0, 1025.0], [594.0, 1056.0], [384.0, 1059.0]], ('QTY 1@5.99', 0.9389578700065613)], [[[79.0, 1065.0], [228.0, 1065.0], [228.0, 1098.0], [79.0, 1098.0]], ('ALL. THAT', 0.9099881649017334)], [[[478.0, 1063.0], [540.0, 1063.0], [540.0, 1098.0], [478.0, 1098.0]], ('119', 0.9977828860282898)], [[[750.0, 1062.0], [809.0, 1062.0], [809.0, 1098.0], [750.0, 1098.0]], ('.00', 0.9939336180686951)], [[[114.0, 1105.0], [574.0, 1102.0], [574.0, 1132.0], [114.0, 1135.0]], ('000000000000400066561024', 0.9946367144584656)], [[[387.0, 1143.0], [594.0, 1143.0], [594.0, 1170.0], [387.0, 1170.0]], ('QTY1@2.99', 0.9050081968307495)], [[[108.0, 1179.0], [863.0, 1177.0], [864.0, 1208.0], [108.0, 1211.0]], ('2.99-2.99 BUY 3GEI 4TH FREE ALLUSED', 0.8854182362556458)]]
{"store_name": "WHEREHOUSE#1478", "store_addr": "17542HAWTHORNEBLVD TORRANCECA90504-3110", "telephone": "310-371-0994", "date": "", "time": "", "subtotal": "", "tax": "", "total": "", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "GREATHITS-NAUGHTY'SNIC", "item_value": ".00", "item_quantity": "1"}, {"item_key": "", "item_name": "MEGAJAMMINOLDIES1129", "item_value": "5.99", "item_quantity": "1"}, {"item_key": "", "item_name": "WORLDWRESTLINGFED.079", "item_value": "4.99", "item_quantity": "1"}, {"item_key": "", "item_name": "ALLTHAT", "item_value": "7.99", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[112.0, 113.0], [148.0, 103.0], [153.0, 120.0], [117.0, 130.0]], ('Dear', 0.9924768209457397)], [[[125.0, 142.0], [143.0, 142.0], [143.0, 157.0], [125.0, 157.0]], ('KI', 0.8538892269134521)], [[[337.0, 211.0], [480.0, 199.0], [483.0, 232.0], [340.0, 244.0]], ('their', 0.8610971570014954)], [[[678.0, 233.0], [709.0, 230.0], [711.0, 250.0], [680.0, 253.0]], ('Kely', 0.8864164352416992)], [[[230.0, 246.0], [580.0, 233.0], [581.0, 250.0], [231.0, 263.0]], ('************', 0.6234129071235657)], [[[302.0, 270.0], [505.0, 263.0], [505.0, 285.0], [303.0, 291.0]], ('Tel:24483083', 0.9690978527069092)], [[[695.0, 290.0], [732.0, 284.0], [736.0, 304.0], [699.0, 310.0]], ('10', 0.9917608499526978)], [[[190.0, 311.0], [268.0, 308.0], [269.0, 327.0], [190.0, 330.0]], ('Order No', 0.9544421434402466)], [[[316.0, 306.0], [340.0, 306.0], [340.0, 324.0], [316.0, 324.0]], ('35', 0.9993640780448914)], [[[440.0, 303.0], [502.0, 303.0], [502.0, 321.0], [440.0, 321.0]], ('Date', 0.9962121844291687)], [[[504.0, 302.0], [594.0, 298.0], [595.0, 317.0], [505.0, 320.0]], ('18-5-2009', 0.9846426844596863)], [[[185.0, 349.0], [261.0, 346.0], [262.0, 366.0], [186.0, 368.0]], ('Table No', 0.9414355754852295)], [[[308.0, 344.0], [346.0, 341.0], [347.0, 362.0], [310.0, 365.0]], ('ST2', 0.9981558322906494)], [[[431.0, 341.0], [540.0, 339.0], [540.0, 357.0], [431.0, 360.0]], ('Parsonal No', 0.9594533443450928)], [[[180.0, 389.0], [245.0, 388.0], [246.0, 408.0], [180.0, 410.0]], ('Captain', 0.9982115030288696)], [[[287.0, 385.0], [349.0, 384.0], [349.0, 404.0], [287.0, 405.0]], ('Hartini', 0.9955223798751831)], [[[473.0, 381.0], [531.0, 381.0], [531.0, 400.0], [473.0, 400.0]], ('Bill No', 0.8620951771736145)], [[[555.0, 380.0], [579.0, 380.0], [579.0, 398.0], [555.0, 398.0]], ('35', 0.9984641671180725)], [[[489.0, 401.0], [536.0, 405.0], [534.0, 425.0], [487.0, 421.0]], ('Copy', 0.9982282519340515)], [[[270.0, 471.0], [334.0, 474.0], [333.0, 496.0], [269.0, 494.0]], ('Items', 0.9955769777297974)], [[[467.0, 473.0], [506.0, 473.0], [506.0, 494.0], [467.0, 494.0]], ('Qty', 0.9974158406257629)], [[[539.0, 470.0], [626.0, 470.0], [626.0, 490.0], [539.0, 490.0]], ('Amount', 0.9989774823188782)], [[[167.0, 498.0], [303.0, 498.0], [303.0, 519.0], [167.0, 519.0]], ('Massaman Kael', 0.937751829624176)], [[[465.0, 495.0], [507.0, 495.0], [507.0, 515.0], [465.0, 515.0]], ('1.00', 0.9946447610855103)], [[[576.0, 491.0], [633.0, 491.0], [633.0, 513.0], [576.0, 513.0]], ('4.200', 0.9937000274658203)], [[[165.0, 522.0], [245.0, 522.0], [245.0, 541.0], [165.0, 541.0]], ('Pad Thai', 0.9572978019714355)], [[[461.0, 517.0], [507.0, 514.0], [509.0, 537.0], [463.0, 540.0]], ('1.00', 0.9969452023506165)], [[[579.0, 515.0], [633.0, 515.0], [633.0, 535.0], [579.0, 535.0]], ('4.200', 0.9946228861808777)], [[[164.0, 545.0], [265.0, 545.0], [265.0, 564.0], [164.0, 564.0]], ('Steam Rice', 0.9631621241569519)], [[[465.0, 542.0], [508.0, 542.0], [508.0, 562.0], [465.0, 562.0]], ('1.00', 0.9955339431762695)], [[[577.0, 538.0], [635.0, 535.0], [636.0, 559.0], [578.0, 561.0]], ('1.400', 0.9949166178703308)], [[[159.0, 570.0], [344.0, 568.0], [344.0, 590.0], [159.0, 591.0]], ('Mineral Water large', 0.9744164347648621)], [[[464.0, 564.0], [509.0, 564.0], [509.0, 588.0], [464.0, 588.0]], ('1.00', 0.9877455830574036)], [[[581.0, 562.0], [638.0, 562.0], [638.0, 585.0], [581.0, 585.0]], ('1.000', 0.9966705441474915)], [[[157.0, 594.0], [398.0, 592.0], [398.0, 614.0], [157.0, 617.0]], ('Lemon Grass Ginger Iced', 0.9592689871788025)], [[[464.0, 590.0], [511.0, 590.0], [511.0, 613.0], [464.0, 613.0]], ('1.00', 0.9935759902000427)], [[[583.0, 587.0], [640.0, 587.0], [640.0, 610.0], [583.0, 610.0]], ('1.200', 0.9875239133834839)], [[[722.0, 597.0], [752.0, 593.0], [754.0, 615.0], [724.0, 618.0]], ('ary', 0.9977736473083496)], [[[155.0, 619.0], [193.0, 622.0], [191.0, 644.0], [153.0, 641.0]], ('Tea', 0.9978609681129456)], [[[153.0, 657.0], [319.0, 655.0], [320.0, 677.0], [153.0, 680.0]], ('Citrus Mint Cooler', 0.9482936859130859)], [[[464.0, 653.0], [512.0, 653.0], [512.0, 677.0], [464.0, 677.0]], ('1.00', 0.9978151321411133)], [[[585.0, 651.0], [645.0, 651.0], [645.0, 674.0], [585.0, 674.0]], ('1.600', 0.9960129857063293)], [[[147.0, 737.0], [223.0, 737.0], [223.0, 759.0], [147.0, 759.0]], ('Total:', 0.953300952911377)], [[[293.0, 737.0], [372.0, 737.0], [372.0, 759.0], [293.0, 759.0]], ('13.600', 0.9977579712867737)], [[[147.0, 764.0], [260.0, 766.0], [259.0, 788.0], [146.0, 786.0]], ('Discount:', 0.9820582866668701)], [[[367.0, 765.0], [434.0, 765.0], [434.0, 788.0], [367.0, 788.0]], ('0.000', 0.9941719174385071)], [[[146.0, 819.0], [295.0, 824.0], [294.0, 845.0], [145.0, 840.0]], ('Net Amount:', 0.9592170715332031)], [[[339.0, 822.0], [421.0, 822.0], [421.0, 845.0], [339.0, 845.0]], ('13.600', 0.9971342086791992)], [[[143.0, 844.0], [204.0, 849.0], [202.0, 875.0], [141.0, 871.0]], ('Pay:', 0.9316480159759521)], [[[338.0, 851.0], [419.0, 851.0], [419.0, 874.0], [338.0, 874.0]], ('13.600', 0.9977217316627502)], [[[145.0, 873.0], [241.0, 880.0], [239.0, 904.0], [143.0, 897.0]], ('Balance:', 0.9235039949417114)], [[[338.0, 875.0], [408.0, 878.0], [407.0, 905.0], [337.0, 902.0]], ('0.000', 0.9949266314506531)], [[[269.0, 933.0], [523.0, 939.0], [522.0, 963.0], [268.0, 958.0]], ('Thanks For Your Vislt', 0.933098554611206)], [[[337.0, 991.0], [461.0, 994.0], [460.0, 1020.0], [336.0, 1016.0]], ('Thank You', 0.9513128995895386)]]
{"store_name": "", "store_addr": "", "telephone": "24483083", "date": "18-5-2009", "time": "", "subtotal": "13.600", "tax": "", "total": "13.600", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "MassamanKae", "item_value": "4.200", "item_quantity": "1"}, {"item_key": "", "item_name": "PadThai", "item_value": "4.200", "item_quantity": "1"}, {"item_key": "", "item_name": "SteamRice", "item_value": "1.400", "item_quantity": "1"}, {"item_key": "", "item_name": "MineralWaterlarge", "item_value": "1.000", "item_quantity": "1"}, {"item_key": "", "item_name": "LemonGrassGingerIced", "item_value": "1.200", "item_quantity": "1"}, {"item_key": "", "item_name": "Tea", "item_value": "1.600", "item_quantity": "1"}, {"item_key": "", "item_name": "CitrusMintCooler", "item_value": "", "item_quantity": ""}, {"item_key": "Items", "item_name": "", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[454.0, 95.0], [723.0, 104.0], [722.0, 139.0], [453.0, 130.0]], ('Post Office Ltd.', 0.9196558594703674)], [[[489.0, 130.0], [699.0, 139.0], [698.0, 175.0], [487.0, 166.0]], ('Your Receipt', 0.9612833857536316)], [[[214.0, 191.0], [563.0, 202.0], [562.0, 237.0], [213.0, 226.0]], ('368 Brinnington Road', 0.9635022878646851)], [[[212.0, 226.0], [410.0, 234.0], [408.0, 267.0], [211.0, 260.0]], ('Brinnington', 0.9974325299263)], [[[213.0, 259.0], [374.0, 267.0], [372.0, 302.0], [211.0, 294.0]], ('Stockport', 0.9912297129631042)], [[[214.0, 295.0], [358.0, 299.0], [357.0, 334.0], [213.0, 330.0]], ('Cheshire', 0.9980089664459229)], [[[214.0, 328.0], [340.0, 332.0], [338.0, 367.0], [213.0, 363.0]], ('SK5 8BT', 0.9185865521430969)], [[[272.0, 396.0], [510.0, 402.0], [509.0, 437.0], [271.0, 431.0]], ('Date and Time:', 0.9438046813011169)], [[[612.0, 402.0], [893.0, 405.0], [893.0, 440.0], [612.0, 437.0]], ('14/12/201113:06', 0.9632853269577026)], [[[270.0, 431.0], [459.0, 435.0], [458.0, 470.0], [269.0, 466.0]], ('Session ID:', 0.9549916982650757)], [[[753.0, 437.0], [888.0, 437.0], [888.0, 467.0], [753.0, 467.0]], ('1-595357', 0.9914998412132263)], [[[273.0, 465.0], [365.0, 465.0], [365.0, 500.0], [273.0, 500.0]], ('Dest:', 0.9736472964286804)], [[[769.0, 468.0], [886.0, 468.0], [886.0, 505.0], [769.0, 505.0]], ('UK(EU)', 0.8783154487609863)], [[[273.0, 496.0], [428.0, 500.0], [427.0, 535.0], [272.0, 531.0]], ('Quantity:', 0.9907617568969727)], [[[871.0, 508.0], [885.0, 508.0], [885.0, 528.0], [871.0, 528.0]], ('1', 0.9522016644477844)], [[[275.0, 528.0], [398.0, 532.0], [396.0, 567.0], [274.0, 563.0]], ('Weight:', 0.9904842972755432)], [[[752.0, 530.0], [888.0, 534.0], [887.0, 569.0], [751.0, 565.0]], ('0.146 kg', 0.9286303520202637)], [[[280.0, 590.0], [512.0, 593.0], [511.0, 629.0], [279.0, 625.0]], ('Special D by 1', 0.9247913956642151)], [[[639.0, 593.0], [757.0, 593.0], [757.0, 628.0], [639.0, 628.0]], ('400.00', 0.9958353638648987)], [[[798.0, 593.0], [885.0, 593.0], [885.0, 630.0], [798.0, 630.0]], ('5.90', 0.9975008964538574)], [[[283.0, 797.0], [643.0, 797.0], [643.0, 830.0], [283.0, 830.0]], ('Totai Cost of Services', 0.9491521716117859)], [[[805.0, 795.0], [893.0, 795.0], [893.0, 832.0], [805.0, 832.0]], ('5.90', 0.9972700476646423)], [[[273.0, 857.0], [758.0, 855.0], [759.0, 888.0], [273.0, 890.0]], ('Posted after Last Collection?', 0.9640790224075317)], [[[839.0, 855.0], [881.0, 855.0], [881.0, 892.0], [839.0, 892.0]], ('No', 0.967729926109314)], [[[263.0, 980.0], [403.0, 984.0], [402.0, 1020.0], [262.0, 1016.0]], ('Barcode:', 0.9909117221832275)], [[[610.0, 978.0], [832.0, 978.0], [832.0, 1013.0], [610.0, 1013.0]], ('ZV83581375868', 0.922540545463562)], [[[418.0, 1047.0], [752.0, 1047.0], [752.0, 1080.0], [418.0, 1080.0]], ('DESTINATION ADDRESS', 0.9718111753463745)], [[[197.0, 1075.0], [616.0, 1082.0], [615.0, 1124.0], [196.0, 1116.0]], ('Building Name or Number', 0.9738055467605591)], [[[658.0, 1083.0], [803.0, 1083.0], [803.0, 1113.0], [658.0, 1113.0]], ('Postcode', 0.9930963516235352)], [[[196.0, 1112.0], [237.0, 1112.0], [237.0, 1147.0], [196.0, 1147.0]], ('32', 0.9981458783149719)], [[[661.0, 1115.0], [769.0, 1115.0], [769.0, 1152.0], [661.0, 1152.0]], ('PA49RF', 0.9850816130638123)], [[[190.0, 1145.0], [518.0, 1150.0], [518.0, 1190.0], [189.0, 1185.0]], ('Address Validated?', 0.9761799573898315)], [[[677.0, 1152.0], [704.0, 1152.0], [704.0, 1187.0], [677.0, 1187.0]], ('N', 0.9909714460372925)], [[[244.0, 1217.0], [902.0, 1218.0], [902.0, 1253.0], [244.0, 1252.0]], ('IT IS IMPORTANT THAT YOU RETAIN THIS', 0.9433322548866272)], [[[218.0, 1250.0], [924.0, 1253.0], [924.0, 1293.0], [218.0, 1290.0]], ('RECEIPT AS IT IS YOUR PROOF OF POSTING', 0.9378970265388489)], [[[252.0, 1323.0], [893.0, 1327.0], [893.0, 1367.0], [252.0, 1363.0]], ('PLEASE REFER TO SEPARATE TERMS AND', 0.9391264915466309)], [[[479.0, 1368.0], [668.0, 1368.0], [668.0, 1403.0], [479.0, 1403.0]], ('CONDITIONS', 0.9972293972969055)], [[[229.0, 1438.0], [905.0, 1442.0], [905.0, 1487.0], [228.0, 1483.0]], ('Special Delivery is an express next', 0.9367033839225769)], [[[246.0, 1483.0], [907.0, 1485.0], [907.0, 1520.0], [245.0, 1518.0]], ('day service for the Uk, offering a', 0.9143078327178955)], [[[244.0, 1527.0], [912.0, 1527.0], [912.0, 1560.0], [244.0, 1560.0]], ('money back guarantee for deTay and', 0.9369678497314453)], [[[232.0, 1567.0], [914.0, 1567.0], [914.0, 1595.0], [232.0, 1595.0]], ('copensatinn fnr loss and danage tn', 0.8891410827636719)]]
{"store_name": "PostOfficeLtd.", "store_addr": "SK58BT Cheshire Stockport Brinnington 368BrinningtonRoad", "telephone": "", "date": "14/12/2011", "time": "13:06", "subtotal": "", "tax": "", "total": "\u00a35.90 \u00a35.90", "ignore": "", "tips": "", "line_items": []}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[224.0, 61.0], [286.0, 61.0], [286.0, 78.0], [224.0, 78.0]], ('RESS', 0.958247721195221)], [[[304.0, 64.0], [345.0, 64.0], [345.0, 78.0], [304.0, 78.0]], ('A', 0.708208441734314)], [[[71.0, 125.0], [349.0, 119.0], [349.0, 136.0], [71.0, 142.0]], ('PANSSSAUTOCARE', 0.8942242860794067)], [[[75.0, 142.0], [333.0, 138.0], [333.0, 152.0], [75.0, 156.0]], ('CNTEEUILRD', 0.6642404794692993)], [[[71.0, 156.0], [349.0, 153.0], [349.0, 170.0], [71.0, 173.0]], ('HNSSUA2', 0.6400108337402344)], [[[74.0, 188.0], [258.0, 186.0], [258.0, 202.0], [74.0, 204.0]], ('739', 0.6703880429267883)], [[[70.0, 204.0], [274.0, 203.0], [274.0, 220.0], [70.0, 221.0]], ('HANSSSAUTO', 0.7730804085731506)], [[[350.0, 217.0], [382.0, 217.0], [382.0, 236.0], [350.0, 236.0]], ('VA', 0.8054142594337463)], [[[275.0, 236.0], [353.0, 236.0], [353.0, 253.0], [275.0, 253.0]], ('1510', 0.7967773675918579)], [[[307.0, 252.0], [382.0, 252.0], [382.0, 269.0], [307.0, 269.0]], ('ACCTH', 0.8106228113174438)], [[[337.0, 270.0], [383.0, 270.0], [383.0, 285.0], [337.0, 285.0]], ('937', 0.9811081886291504)], [[[74.0, 286.0], [259.0, 286.0], [259.0, 303.0], [74.0, 303.0]], ('994.5', 0.8259549140930176)], [[[74.0, 303.0], [260.0, 303.0], [260.0, 320.0], [74.0, 320.0]], ('1033', 0.6969846487045288)], [[[277.0, 337.0], [385.0, 335.0], [385.0, 353.0], [277.0, 355.0]], ('14.973G', 0.9067702889442444)], [[[72.0, 368.0], [215.0, 371.0], [215.0, 388.0], [72.0, 385.0]], ('PRIEGAL', 0.6768000721931458)], [[[291.0, 371.0], [387.0, 369.0], [387.0, 387.0], [291.0, 389.0]], ('659', 0.9409497380256653)], [[[71.0, 384.0], [232.0, 388.0], [232.0, 408.0], [71.0, 404.0]], ('FLEITTAL', 0.7486191987991333)], [[[291.0, 388.0], [388.0, 387.0], [388.0, 405.0], [291.0, 406.0]], ('b81', 0.6545785665512085)], [[[69.0, 420.0], [152.0, 422.0], [152.0, 440.0], [69.0, 438.0]], ('TOTAL', 0.832992672920227)], [[[292.0, 423.0], [389.0, 422.0], [389.0, 440.0], [292.0, 441.0]], ('.84', 0.7404292225837708)], [[[67.0, 455.0], [360.0, 456.0], [360.0, 476.0], [67.0, 475.0]], ('MANASSAS AUTO CARE', 0.8260319828987122)], [[[70.0, 474.0], [345.0, 475.0], [345.0, 493.0], [70.0, 492.0]], ('ISG CEHTREUILRD', 0.7723009586334229)], [[[64.0, 491.0], [361.0, 492.0], [361.0, 512.0], [64.0, 511.0]], ('MAHASSASVA 22LL0', 0.7467963695526123)], [[[117.0, 545.0], [297.0, 546.0], [297.0, 566.0], [117.0, 565.0]], ('THANK YOU-', 0.9460974931716919)]]
{"store_name": "EXXONEXPRESSPAY", "store_addr": "MANASSAS,VA22110", "telephone": "", "date": "11/30/08", "time": "15:10", "subtotal": "$24.84", "tax": "", "total": "$24.84", "ignore": " ", "tips": "", "line_items": []}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[233.0, 61.0], [590.0, 68.0], [590.0, 100.0], [232.0, 94.0]], ('Laque Nail Bar &', 0.9395792484283447)], [[[188.0, 92.0], [605.0, 98.0], [605.0, 130.0], [187.0, 124.0]], ('Beauty Lounge, Inc.', 0.9476760029792786)], [[[187.0, 148.0], [432.0, 154.0], [431.0, 178.0], [186.0, 172.0]], ('North Hollywood', 0.9664905667304993)], [[[423.0, 154.0], [598.0, 149.0], [599.0, 173.0], [423.0, 178.0]], ('CA91606', 0.9819561839103699)], [[[189.0, 177.0], [377.0, 184.0], [377.0, 205.0], [188.0, 199.0]], ('818985-1877', 0.9962725043296814)], [[[190.0, 235.0], [392.0, 241.0], [392.0, 263.0], [189.0, 257.0]], ('Trans#:33457', 0.9476828575134277)], [[[187.0, 263.0], [553.0, 268.0], [553.0, 293.0], [186.0, 288.0]], ('Date:1/4/2015 12:48PM', 0.932738721370697)], [[[190.0, 294.0], [408.0, 300.0], [408.0, 322.0], [189.0, 315.0]], ('Client: Denise', 0.9514092803001404)], [[[186.0, 349.0], [287.0, 352.0], [286.0, 374.0], [185.0, 371.0]], ('Minh T', 0.9153735041618347)], [[[222.0, 379.0], [440.0, 383.0], [440.0, 404.0], [221.0, 400.0]], ('Gel Polish Add', 0.9614390134811401)], [[[514.0, 383.0], [609.0, 378.0], [611.0, 404.0], [516.0, 409.0]], ('$20.00', 0.9977430701255798)], [[[188.0, 405.0], [337.0, 411.0], [336.0, 433.0], [187.0, 427.0]], ('Felicia M', 0.9458947777748108)], [[[222.0, 435.0], [456.0, 439.0], [456.0, 459.0], [221.0, 456.0]], ('Soda Pop!-Kid', 0.8666261434555054)], [[[515.0, 438.0], [610.0, 438.0], [610.0, 462.0], [515.0, 462.0]], ('$20.00', 0.9965797066688538)], [[[187.0, 463.0], [287.0, 466.0], [286.0, 485.0], [186.0, 482.0]], ('MinhT', 0.9896013140678406)], [[[219.0, 487.0], [453.0, 494.0], [452.0, 516.0], [218.0, 509.0]], ('Nail Art2 Na', 0.9288585782051086)], [[[513.0, 494.0], [609.0, 494.0], [609.0, 519.0], [513.0, 519.0]], ('$18.00', 0.9979742169380188)], [[[187.0, 513.0], [286.0, 517.0], [285.0, 539.0], [186.0, 535.0]], ('Minh T', 0.9166745543479919)], [[[220.0, 545.0], [452.0, 549.0], [451.0, 574.0], [219.0, 570.0]], ('Regular Acrylic', 0.9790169596672058)], [[[515.0, 550.0], [609.0, 550.0], [609.0, 575.0], [515.0, 575.0]], ('$17.00', 0.9984304308891296)], [[[297.0, 601.0], [464.0, 605.0], [463.0, 627.0], [296.0, 623.0]], ('Item Total:', 0.9473658204078674)], [[[498.0, 605.0], [595.0, 607.0], [594.0, 632.0], [497.0, 630.0]], ('$75.00', 0.9989375472068787)], [[[339.0, 631.0], [465.0, 635.0], [464.0, 661.0], [339.0, 657.0]], ('Deposit:', 0.9923515319824219)], [[[499.0, 638.0], [578.0, 638.0], [578.0, 660.0], [499.0, 660.0]], ('$0.00', 0.996944785118103)], [[[328.0, 660.0], [464.0, 665.0], [463.0, 687.0], [327.0, 682.0]], ('Subtotal:', 0.9937083721160889)], [[[497.0, 663.0], [595.0, 667.0], [594.0, 692.0], [496.0, 688.0]], ('$75.00', 0.9984953999519348)], [[[402.0, 690.0], [465.0, 694.0], [463.0, 717.0], [400.0, 713.0]], ('Tax:', 0.9880596399307251)], [[[499.0, 696.0], [578.0, 696.0], [578.0, 719.0], [499.0, 719.0]], ('$0.00', 0.9988929033279419)], [[[370.0, 719.0], [465.0, 724.0], [464.0, 746.0], [369.0, 741.0]], ('Total:', 0.985044002532959)], [[[497.0, 724.0], [595.0, 726.0], [594.0, 751.0], [496.0, 749.0]], ('$75.00', 0.9983823895454407)], [[[173.0, 834.0], [548.0, 843.0], [547.0, 871.0], [172.0, 862.0]], ('For Any Repairs Free Of', 0.9563512206077576)], [[[174.0, 866.0], [286.0, 871.0], [285.0, 896.0], [173.0, 891.0]], ('Charge.', 0.9866510033607483)], [[[170.0, 891.0], [501.0, 902.0], [500.0, 934.0], [169.0, 923.0]], ('Www.laquenailbar.com', 0.9919677972793579)], [[[172.0, 924.0], [525.0, 937.0], [523.0, 964.0], [171.0, 951.0]], ('Your Next Appointment:', 0.9584518074989319)]]
{"store_name": "LaqueNailBar&", "store_addr": "13025VictoryBoulevard NorthHollywoodCA91606", "telephone": "818985-1877", "date": "1/4/2015", "time": "12:48PM", "subtotal": "$75.00 $75.00", "tax": "$0.00", "total": "$75.00", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "GelpolishAdd", "item_value": "$20.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SodaPOP!-Kid", "item_value": "$20.00", "item_quantity": "1"}, {"item_key": "", "item_name": "NailArt(2Na", "item_value": "$18.00", "item_quantity": "1"}, {"item_key": "", "item_name": "RegularAcrylic", "item_value": "$17.00", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[470.0, 286.0], [580.0, 286.0], [580.0, 324.0], [470.0, 324.0]], ('e', 0.5413842797279358)], [[[180.0, 346.0], [716.0, 360.0], [715.0, 410.0], [179.0, 397.0]], ('More value for the way you live', 0.968991756439209)], [[[218.0, 437.0], [552.0, 448.0], [550.0, 482.0], [217.0, 470.0]], ('7984 W.Alameda Ave', 0.9013401865959167)], [[[214.0, 468.0], [651.0, 473.0], [651.0, 509.0], [213.0, 504.0]], ('303914-2060 Store #127', 0.9233591556549072)], [[[214.0, 500.0], [637.0, 509.0], [636.0, 544.0], [213.0, 536.0]], ('Your Cashier Was Robert P', 0.93867027759552)], [[[139.0, 565.0], [448.0, 576.0], [447.0, 605.0], [138.0, 594.0]], ('0.581b@1.29/1b', 0.949918806552887)], [[[124.0, 599.0], [161.0, 599.0], [161.0, 626.0], [124.0, 626.0]], ('WT', 0.9920634031295776)], [[[261.0, 603.0], [433.0, 607.0], [433.0, 637.0], [260.0, 632.0]], ('ONIONS YLW', 0.9633016586303711)], [[[567.0, 609.0], [602.0, 609.0], [602.0, 637.0], [567.0, 637.0]], ('-$', 0.8477033972740173)], [[[663.0, 605.0], [775.0, 605.0], [775.0, 641.0], [663.0, 641.0]], ('0.75B', 0.9881095886230469)], [[[133.0, 630.0], [570.0, 639.0], [569.0, 675.0], [132.0, 666.0]], ('0.58 1b@0.99/1b=0.57', 0.9557029604911804)], [[[120.0, 664.0], [165.0, 664.0], [165.0, 698.0], [120.0, 698.0]], ('SC', 0.9362450838088989)], [[[261.0, 666.0], [434.0, 673.0], [432.0, 704.0], [260.0, 697.0]], ('ONIONS YLW', 0.9530137777328491)], [[[665.0, 672.0], [775.0, 672.0], [775.0, 708.0], [665.0, 708.0]], ('0.18-B', 0.9665399193763733)], [[[259.0, 702.0], [547.0, 706.0], [547.0, 736.0], [258.0, 731.0]], ('ST101 ALMOND MILK', 0.9290400743484497)], [[[662.0, 703.0], [775.0, 708.0], [774.0, 740.0], [661.0, 735.0]], ('2.89B', 0.9855266809463501)], [[[256.0, 733.0], [464.0, 735.0], [463.0, 765.0], [256.0, 763.0]], ('AMYS MAC&CHS', 0.965474545955658)], [[[663.0, 740.0], [771.0, 740.0], [771.0, 769.0], [663.0, 769.0]], ('2.99B', 0.9941579103469849)], [[[255.0, 762.0], [464.0, 767.0], [463.0, 803.0], [254.0, 798.0]], ('MZFR FRS MOZ', 0.9046393036842346)], [[[663.0, 771.0], [777.0, 771.0], [777.0, 807.0], [663.0, 807.0]], ('4.79B', 0.9867092967033386)], [[[133.0, 794.0], [397.0, 803.0], [396.0, 832.0], [132.0, 823.0]], ('Valued Customer', 0.9782468676567078)], [[[584.0, 805.0], [773.0, 807.0], [773.0, 836.0], [584.0, 834.0]], ('*******2354', 0.8201649188995361)], [[[254.0, 834.0], [464.0, 834.0], [464.0, 864.0], [254.0, 864.0]], ('GREEN PEPPER', 0.9680542349815369)], [[[662.0, 834.0], [777.0, 839.0], [776.0, 875.0], [660.0, 869.0]], ('0.99B', 0.8909896612167358)], [[[251.0, 863.0], [460.0, 868.0], [459.0, 897.0], [250.0, 893.0]], ('PPR RED BELL', 0.9165181517601013)], [[[663.0, 872.0], [777.0, 872.0], [777.0, 908.0], [663.0, 908.0]], ('1.89B', 0.986872673034668)], [[[251.0, 895.0], [446.0, 902.0], [445.0, 933.0], [250.0, 926.0]], ('AECO QUINOA', 0.9234032034873962)], [[[665.0, 903.0], [777.0, 903.0], [777.0, 939.0], [665.0, 939.0]], ('8.99B', 0.987683117389679)], [[[248.0, 931.0], [443.0, 933.0], [443.0, 964.0], [248.0, 962.0]], ('LAFVR CHIPS', 0.9618076086044312)], [[[662.0, 932.0], [777.0, 938.0], [776.0, 975.0], [660.0, 970.0]], ('1.99B', 0.988960862159729)], [[[246.0, 964.0], [444.0, 969.0], [443.0, 998.0], [246.0, 994.0]], ('CHRMN BASIC', 0.9776851534843445)], [[[565.0, 967.0], [601.0, 974.0], [597.0, 1001.0], [560.0, 995.0]], ('(+', 0.8127636909484863)], [[[664.0, 966.0], [779.0, 971.0], [778.0, 1009.0], [662.0, 1004.0]], ('8.99T', 0.9779367446899414)], [[[102.0, 996.0], [146.0, 996.0], [146.0, 1032.0], [102.0, 1032.0]], ('SC', 0.9587671756744385)], [[[246.0, 998.0], [568.0, 1002.0], [567.0, 1032.0], [246.0, 1027.0]], ('CHRMN BASIC6.49', 0.939937174320221)], [[[663.0, 1004.0], [777.0, 1004.0], [777.0, 1040.0], [663.0, 1040.0]], ('2.50-T', 0.9561758637428284)], [[[248.0, 1030.0], [441.0, 1030.0], [441.0, 1059.0], [248.0, 1059.0]], ('GGDS YOGURT', 0.9413793087005615)], [[[665.0, 1038.0], [773.0, 1038.0], [773.0, 1067.0], [665.0, 1067.0]], ('3.89B', 0.9668741226196289)], [[[250.0, 1061.0], [458.0, 1061.0], [458.0, 1088.0], [250.0, 1088.0]], ('KRO CLNTR LV', 0.9207090735435486)], [[[660.0, 1061.0], [771.0, 1066.0], [770.0, 1097.0], [658.0, 1092.0]], ('1.99B', 0.9857543706893921)], [[[250.0, 1090.0], [423.0, 1090.0], [423.0, 1118.0], [250.0, 1118.0]], ('UDIS BREAD', 0.9655386209487915)], [[[655.0, 1093.0], [765.0, 1093.0], [765.0, 1122.0], [655.0, 1122.0]], ('5.99B', 0.9747623205184937)], [[[250.0, 1120.0], [458.0, 1120.0], [458.0, 1147.0], [250.0, 1147.0]], ('BRNK GRANOLR', 0.9275805950164795)], [[[656.0, 1119.0], [763.0, 1124.0], [762.0, 1156.0], [654.0, 1151.0]], ('3.79B', 0.9278289675712585)], [[[248.0, 1145.0], [470.0, 1147.0], [470.0, 1179.0], [248.0, 1176.0]], ('FRSC 4 CHEESE', 0.9198949337005615)], [[[653.0, 1156.0], [763.0, 1156.0], [763.0, 1185.0], [653.0, 1185.0]], ('9.99B', 0.9752904176712036)], [[[110.0, 1174.0], [153.0, 1174.0], [153.0, 1210.0], [110.0, 1210.0]], ('SC', 0.85261070728302)], [[[250.0, 1176.0], [507.0, 1181.0], [506.0, 1212.0], [250.0, 1208.0]], ('eCPN Freschetta', 0.9596256017684937)], [[[654.0, 1182.0], [761.0, 1187.0], [760.0, 1219.0], [652.0, 1214.0]], ('2.00-B', 0.9598484635353088)], [[[249.0, 1208.0], [433.0, 1213.0], [433.0, 1242.0], [248.0, 1237.0]], ('BRNK CEREAL', 0.9646283984184265)], [[[654.0, 1216.0], [759.0, 1221.0], [758.0, 1253.0], [652.0, 1248.0]], ('3.79B', 0.9802803993225098)], [[[109.0, 1232.0], [154.0, 1239.0], [149.0, 1275.0], [104.0, 1268.0]], ('MC', 0.9966208934783936)], [[[251.0, 1239.0], [505.0, 1246.0], [504.0, 1276.0], [250.0, 1269.0]], ('eCen BEAR NAKED', 0.9130803942680359)], [[[650.0, 1245.0], [747.0, 1251.0], [745.0, 1289.0], [648.0, 1283.0]], ('1.00-', 0.9495417475700378)], [[[249.0, 1271.0], [503.0, 1280.0], [502.0, 1309.0], [248.0, 1300.0]], ('KRO PEPPER JACK', 0.944902241230011)], [[[555.0, 1282.0], [586.0, 1282.0], [586.0, 1309.0], [555.0, 1309.0]], ('-$', 0.9241799116134644)], [[[648.0, 1279.0], [761.0, 1284.0], [759.0, 1322.0], [646.0, 1317.0]], ('6.49B', 0.9863371849060059)], [[[108.0, 1301.0], [153.0, 1301.0], [153.0, 1336.0], [108.0, 1336.0]], ('SC', 0.9335023164749146)], [[[245.0, 1300.0], [558.0, 1311.0], [556.0, 1347.0], [244.0, 1336.0]], ('KRO PEPPER2.99', 0.9580392241477966)], [[[648.0, 1313.0], [761.0, 1318.0], [759.0, 1356.0], [646.0, 1350.0]], ('3.50-B', 0.9828996658325195)], [[[243.0, 1334.0], [436.0, 1341.0], [434.0, 1377.0], [242.0, 1369.0]], ('JIF PNT BTR', 0.9447104930877686)], [[[647.0, 1353.0], [763.0, 1353.0], [763.0, 1389.0], [647.0, 1389.0]], ('2.99B', 0.9915364980697632)], [[[241.0, 1369.0], [550.0, 1381.0], [548.0, 1414.0], [240.0, 1403.0]], ('DNSN CHILI W/BEANS', 0.9355843663215637)], [[[646.0, 1384.0], [761.0, 1389.0], [760.0, 1425.0], [644.0, 1420.0]], ('2.19B', 0.9744734764099121)], [[[243.0, 1407.0], [547.0, 1419.0], [546.0, 1448.0], [242.0, 1437.0]], ('KUNER GARBANZO BEA', 0.9549394249916077)], [[[646.0, 1420.0], [761.0, 1425.0], [760.0, 1461.0], [644.0, 1456.0]], ('0.89B', 0.990460216999054)], [[[237.0, 1439.0], [499.0, 1450.0], [497.0, 1486.0], [235.0, 1474.0]], ('KNR BLACK BEANS', 0.9467698335647583)], [[[646.0, 1453.0], [761.0, 1461.0], [759.0, 1499.0], [644.0, 1491.0]], ('0.89B', 0.9831770658493042)], [[[235.0, 1474.0], [411.0, 1482.0], [410.0, 1517.0], [233.0, 1510.0]], ('NAKD JUICE', 0.9624931216239929)], [[[644.0, 1491.0], [761.0, 1496.0], [760.0, 1534.0], [642.0, 1529.0]], ('3.89B', 0.9805408716201782)], [[[233.0, 1510.0], [426.0, 1520.0], [424.0, 1555.0], [231.0, 1546.0]], ('GGDS YOGURT', 0.9669725894927979)], [[[644.0, 1527.0], [761.0, 1534.0], [759.0, 1572.0], [642.0, 1565.0]], ('3.89B', 0.9883486032485962)], [[[231.0, 1546.0], [409.0, 1555.0], [408.0, 1591.0], [229.0, 1582.0]], ('HENG SAUCE', 0.920956015586853)], [[[646.0, 1565.0], [761.0, 1570.0], [760.0, 1608.0], [644.0, 1603.0]], ('2.99B', 0.9870376586914062)], [[[227.0, 1584.0], [580.0, 1602.0], [578.0, 1637.0], [225.0, 1619.0]], ('CLAS D ROMA ARBBIT-$', 0.9276062250137329)], [[[644.0, 1602.0], [761.0, 1610.0], [759.0, 1648.0], [642.0, 1640.0]], ('3.19B', 0.9836591482162476)], [[[85.0, 1618.0], [128.0, 1618.0], [128.0, 1654.0], [85.0, 1654.0]], ('SC', 0.9586763381958008)], [[[225.0, 1624.0], [548.0, 1639.0], [546.0, 1673.0], [223.0, 1657.0]], ('CLASDROMA2.99', 0.9557780623435974)], [[[645.0, 1640.0], [762.0, 1650.0], [758.0, 1688.0], [642.0, 1678.0]], ('0.20-B', 0.9492362141609192)], [[[221.0, 1657.0], [434.0, 1671.0], [432.0, 1709.0], [219.0, 1695.0]], ('ITL GRDN LME', 0.905877411365509)], [[[644.0, 1680.0], [763.0, 1688.0], [761.0, 1726.0], [642.0, 1718.0]], ('0.99B', 0.9858999252319336)], [[[217.0, 1697.0], [436.0, 1711.0], [434.0, 1747.0], [215.0, 1733.0]], ('CFMT CREAMER', 0.9315375685691833)], [[[644.0, 1720.0], [763.0, 1725.0], [762.0, 1763.0], [642.0, 1758.0]], ('2.79B', 0.9895302653312683)], [[[213.0, 1737.0], [538.0, 1755.0], [536.0, 1791.0], [211.0, 1773.0]], ('KNR L/S KIDNEY BEA', 0.9246509075164795)], [[[642.0, 1758.0], [763.0, 1766.0], [761.0, 1803.0], [640.0, 1796.0]], ('0.89B', 0.9705535173416138)], [[[211.0, 1777.0], [483.0, 1793.0], [481.0, 1826.0], [209.0, 1810.0]], ('TAPATIO HOT SCE', 0.9457712769508362)], [[[644.0, 1798.0], [763.0, 1803.0], [762.0, 1841.0], [642.0, 1836.0]], ('1.39B', 0.9610961079597473)], [[[207.0, 1808.0], [574.0, 1831.0], [572.0, 1866.0], [205.0, 1844.0]], ('KR NSA CUT GRN BNS-$', 0.9137134552001953)], [[[73.0, 1832.0], [116.0, 1832.0], [116.0, 1862.0], [73.0, 1862.0]], ('SC', 0.7475738525390625)], [[[211.0, 1833.0], [542.0, 1863.0], [539.0, 1898.0], [209.0, 1869.0]], ('KR NSA CUT G.67)', 0.8705316781997681)], [[[640.0, 1836.0], [763.0, 1843.0], [761.0, 1879.0], [638.0, 1871.0]], ('0.69B', 0.8712691068649292)], [[[212.0, 1868.0], [283.0, 1868.0], [283.0, 1897.0], [212.0, 1897.0]], ('TAX', 0.9885609745979309)], [[[643.0, 1867.0], [762.0, 1877.0], [758.0, 1915.0], [640.0, 1905.0]], ('0.02-B', 0.949192464351654)], [[[130.0, 1882.0], [347.0, 1900.0], [344.0, 1936.0], [127.0, 1917.0]], (' BALANCE', 0.9112368822097778)], [[[639.0, 1898.0], [725.0, 1907.0], [722.0, 1944.0], [635.0, 1936.0]], ('0.90', 0.9843412041664124)], [[[87.0, 1934.0], [448.0, 1967.0], [446.0, 1997.0], [85.0, 1964.0]], ('620 Kins Saopers #127', 0.8632403612136841)], [[[622.0, 1928.0], [725.0, 1936.0], [722.0, 1972.0], [619.0, 1964.0]], ('89.37', 0.9833806753158569)], [[[87.0, 1964.0], [410.0, 1993.0], [407.0, 2016.0], [85.0, 1993.0]], ('7984 Alameda Ave', 0.8075364828109741)]]
{"store_name": "KING Soopem 620KingSoopers#127", "store_addr": "7984W.AlamedaAve. 7984WAlamedaAve", "telephone": "(303)914-2060Store#127", "date": "", "time": "", "subtotal": "", "tax": "0.90", "total": "89.37", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "WTONIONSYLW", "item_value": "-$0.75", "item_quantity": "1"}, {"item_key": "", "item_name": "ST101ALMONDMILK", "item_value": "2.89", "item_quantity": "1"}, {"item_key": "", "item_name": "AMYSMAC&CHS", "item_value": "2.99", "item_quantity": "1"}, {"item_key": "", "item_name": "MZFRFRSMOZ", "item_value": "4.79", "item_quantity": "1"}, {"item_key": "", "item_name": "GREENPEPPER", "item_value": "0.99", "item_quantity": "1"}, {"item_key": "", "item_name": "PPRREDBELL", "item_value": "1.89", "item_quantity": "1"}, {"item_key": "", "item_name": "AECOQUINOA", "item_value": "8.99", "item_quantity": "1"}, {"item_key": "", "item_name": "LAFVRCHIPS", "item_value": "1.99", "item_quantity": "1"}, {"item_key": "", "item_name": "CHRMNBASIC", "item_value": "8.99", "item_quantity": "1"}, {"item_key": "", "item_name": "GGDSYOGURT", "item_value": "3.89", "item_quantity": "1"}, {"item_key": "", "item_name": "KROCLNTRLV", "item_value": "1.99", "item_quantity": "1"}, {"item_key": "", "item_name": "BRNKCEREAL", "item_value": "5.99", "item_quantity": "1"}, {"item_key": "", "item_name": "KROPEPPERJACK", "item_value": "3.79", "item_quantity": "1"}, {"item_key": "", "item_name": "JIFPNTBTR", "item_value": "9.99", "item_quantity": "1"}, {"item_key": "", "item_name": "DNSNCHILIW/BEANS", "item_value": "3.79", "item_quantity": "1"}, {"item_key": "", "item_name": "KUNERGARBANZOBEA", "item_value": "-$6.49", "item_quantity": "1"}, {"item_key": "", "item_name": "KNRBLACKBEANS", "item_value": "2.99", "item_quantity": "1"}, {"item_key": "", "item_name": "NAKDJUICE", "item_value": "2.19", "item_quantity": "1"}, {"item_key": "", "item_name": "GGDSYOGURT", "item_value": "0.89", "item_quantity": "1"}, {"item_key": "", "item_name": "HFNGSAUCE", "item_value": "0.89", "item_quantity": "1"}, {"item_key": "", "item_name": "CLASDROMAARBBIT-$", "item_value": "3.89", "item_quantity": "1"}, {"item_key": "", "item_name": "ITLGRDNLME", "item_value": "3.89", "item_quantity": "1"}, {"item_key": "", "item_name": "CFMTCREAMER", "item_value": "2.99", "item_quantity": "1"}, {"item_key": "", "item_name": "KNRL/SKIDNEYBEA", "item_value": "3.19", "item_quantity": "1"}, {"item_key": "", "item_name": "TAPATIOHOTSCE", "item_value": "0.99", "item_quantity": "1"}, {"item_key": "", "item_name": "KRNSACUTGRNBNS-$", "item_value": "2.79", "item_quantity": "1"}, {"item_key": "", "item_name": "UDISBREAD", "item_value": "0.89", "item_quantity": "1"}, {"item_key": "", "item_name": "BRNKGRANOLA", "item_value": "1.39", "item_quantity": "1"}, {"item_key": "", "item_name": "ERSC4CHEESE", "item_value": "0.69", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[93.0, 0.0], [207.0, 0.0], [207.0, 31.0], [93.0, 31.0]], ("MAC'S", 0.9762815237045288)], [[[64.0, 28.0], [228.0, 39.0], [227.0, 63.0], [63.0, 52.0]], ('STEAK in the ROUGH', 0.9668848514556885)], [[[68.0, 71.0], [140.0, 77.0], [139.0, 91.0], [67.0, 85.0]], ('Receipt Header', 0.9699875116348267)], [[[123.0, 64.0], [167.0, 68.0], [166.0, 82.0], [122.0, 78.0]], ('Fresquez', 0.9708991050720215)], [[[45.0, 80.0], [158.0, 89.0], [157.0, 103.0], [44.0, 94.0]], ('TYPE:PRE-AUTHORIZATION', 0.9733487963676453)], [[[44.0, 104.0], [175.0, 112.0], [175.0, 126.0], [43.0, 118.0]], ('Date:29 May 2018 18:39:55', 0.9011841416358948)], [[[44.0, 116.0], [150.0, 122.0], [149.0, 135.0], [44.0, 129.0]], ('TableTransId3073734', 0.9428244233131409)], [[[44.0, 127.0], [85.0, 130.0], [84.0, 144.0], [43.0, 141.0]], ('Transid', 0.9313055872917175)], [[[44.0, 137.0], [78.0, 142.0], [76.0, 156.0], [42.0, 151.0]], ('Server', 0.9960877895355225)], [[[102.0, 130.0], [149.0, 133.0], [148.0, 146.0], [101.0, 143.0]], ('3073734', 0.99065762758255)], [[[43.0, 148.0], [74.0, 152.0], [72.0, 167.0], [42.0, 163.0]], ('Table', 0.9931907653808594)], [[[103.0, 144.0], [181.0, 144.0], [181.0, 157.0], [103.0, 157.0]], ('Cade Forbert 7', 0.9450972676277161)], [[[43.0, 160.0], [73.0, 163.0], [72.0, 177.0], [42.0, 174.0]], ('Seats', 0.9961012005805969)], [[[103.0, 153.0], [169.0, 155.0], [168.0, 169.0], [102.0, 167.0]], ('Cas-3073734', 0.989659309387207)], [[[104.0, 167.0], [121.0, 167.0], [121.0, 179.0], [104.0, 179.0]], (':1', 0.5035577416419983)], [[[44.0, 186.0], [83.0, 188.0], [82.0, 200.0], [43.0, 198.0]], ('Account', 0.9959049224853516)], [[[43.0, 197.0], [79.0, 197.0], [79.0, 211.0], [43.0, 211.0]], ('Acct ', 0.889680027961731)], [[[86.0, 189.0], [120.0, 189.0], [120.0, 200.0], [86.0, 200.0]], ('VISA', 0.908140242099762)], [[[87.0, 198.0], [177.0, 199.0], [177.0, 213.0], [87.0, 212.0]], ('xXx175', 0.7341746687889099)], [[[43.0, 209.0], [83.0, 209.0], [83.0, 223.0], [43.0, 223.0]], ('Auth.=', 0.8912920951843262)], [[[87.0, 208.0], [131.0, 210.0], [131.0, 224.0], [86.0, 222.0]], ('660065', 0.9213250279426575)], [[[42.0, 220.0], [80.0, 222.0], [79.0, 236.0], [41.0, 234.0]], ('Ref.', 0.9563895463943481)], [[[99.0, 222.0], [273.0, 218.0], [273.0, 232.0], [100.0, 236.0]], ('aEb308150023957194c8228d e0001F SMI', 0.9278134107589722)], [[[51.0, 244.0], [114.0, 244.0], [114.0, 261.0], [51.0, 261.0]], ('AHOUNT $', 0.9176183938980103)], [[[146.0, 243.0], [185.0, 243.0], [185.0, 262.0], [146.0, 262.0]], ('18.59', 0.995427131652832)], [[[73.0, 269.0], [116.0, 269.0], [116.0, 288.0], [73.0, 288.0]], ('TIP$', 0.9829793572425842)], [[[56.0, 295.0], [113.0, 295.0], [113.0, 313.0], [56.0, 313.0]], ('TOTAL $', 0.9053076505661011)], [[[52.0, 344.0], [134.0, 344.0], [134.0, 372.0], [52.0, 372.0]], ('SIGNATURE:', 0.9608047604560852)], [[[123.0, 391.0], [171.0, 388.0], [172.0, 406.0], [124.0, 408.0]], ('Approved', 0.9894914031028748)], [[[61.0, 419.0], [225.0, 414.0], [225.0, 431.0], [62.0, 436.0]], ('Cardholder will pay card issuer', 0.9308414459228516)]]
{"store_name": "MAC'S", "store_addr": "", "telephone": "", "date": "29May2018", "time": "18:39:55", "subtotal": "18.59", "tax": "", "total": "", "ignore": "", "tips": "", "line_items": []}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[108.0, 9.0], [238.0, 3.0], [239.0, 20.0], [109.0, 26.0]], ('TEL718-773-8448', 0.9810142517089844)], [[[75.0, 44.0], [277.0, 34.0], [278.0, 51.0], [76.0, 61.0]], ('Shop AtPIONNER SUPERMARKT', 0.9677131175994873)], [[[82.0, 61.0], [265.0, 53.0], [265.0, 70.0], [83.0, 77.0]], ('For Everyday $$ Savings $$', 0.9405698180198669)], [[[28.0, 95.0], [300.0, 85.0], [301.0, 102.0], [29.0, 112.0]], ('02/18/2011 6:47 pm Store 001 Reg 003', 0.9333293437957764)], [[[29.0, 113.0], [239.0, 104.0], [240.0, 120.0], [30.0, 130.0]], ('Cashier 991/TYANNA Trx 040260', 0.9494448900222778)], [[[45.0, 144.0], [117.0, 144.0], [117.0, 161.0], [45.0, 161.0]], ('LEFFE BEER', 0.9575217366218567)], [[[243.0, 137.0], [283.0, 134.0], [284.0, 152.0], [244.0, 155.0]], ('12.99', 0.9929084777832031)], [[[43.0, 162.0], [198.0, 155.0], [199.0, 172.0], [44.0, 179.0]], ('KELLOGGS SPECILA K CHO', 0.9536607265472412)], [[[248.0, 153.0], [296.0, 150.0], [297.0, 168.0], [249.0, 170.0]], ('2.99F', 0.972366988658905)], [[[246.0, 186.0], [285.0, 186.0], [285.0, 204.0], [246.0, 204.0]], ('15.98', 0.9940821528434753)], [[[31.0, 196.0], [89.0, 192.0], [90.0, 210.0], [32.0, 214.0]], ('Subtotal', 0.971111536026001)], [[[251.0, 203.0], [285.0, 203.0], [285.0, 221.0], [251.0, 221.0]], ('1.15', 0.9937585592269897)], [[[31.0, 214.0], [112.0, 209.0], [113.0, 226.0], [32.0, 231.0]], ('Tax8.875%', 0.9807413816452026)], [[[34.0, 245.0], [72.0, 245.0], [72.0, 263.0], [34.0, 263.0]], ('Total', 0.9968894124031067)], [[[246.0, 238.0], [286.0, 235.0], [287.0, 253.0], [247.0, 255.0]], ('17.13', 0.9951857328414917)], [[[35.0, 263.0], [67.0, 263.0], [67.0, 280.0], [35.0, 280.0]], ('CASH', 0.9979540109634399)], [[[247.0, 254.0], [287.0, 254.0], [287.0, 272.0], [247.0, 272.0]], ('20.13', 0.9954997897148132)], [[[34.0, 279.0], [174.0, 275.0], [174.0, 293.0], [35.0, 297.0]], ('Change Due', 0.964600682258606)], [[[226.0, 272.0], [285.0, 270.0], [286.0, 288.0], [227.0, 290.0]], ('3.00', 0.9993265867233276)], [[[38.0, 330.0], [96.0, 328.0], [97.0, 343.0], [39.0, 345.0]], ('Item', 0.9974981546401978)], [[[101.0, 327.0], [219.0, 321.0], [220.0, 341.0], [101.0, 346.0]], ('Count2', 0.9927334785461426)]]
{"store_name": "", "store_addr": "", "telephone": "718-773-8448", "date": "02/18/2011", "time": "6:47pm", "subtotal": "15.98", "tax": "1.15", "total": "17.13", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "LEFFEBEER", "item_value": "12.99", "item_quantity": "1"}, {"item_key": "", "item_name": "KELLOGGSSPECILAKCHO", "item_value": "2.99", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[90.0, 19.0], [235.0, 32.0], [231.0, 83.0], [85.0, 69.0]], ('COPPI', 0.6718169450759888)], [[[99.0, 79.0], [226.0, 90.0], [225.0, 108.0], [98.0, 97.0]], ('COPPI RESTAURANT', 0.9767791032791138)], [[[145.0, 106.0], [179.0, 109.0], [178.0, 120.0], [145.0, 117.0]], ('BELFAST', 0.9810007810592651)], [[[128.0, 124.0], [195.0, 128.0], [194.0, 142.0], [127.0, 138.0]], ('wr.copp1.co.k', 0.8180325627326965)], [[[146.0, 118.0], [179.0, 118.0], [179.0, 129.0], [146.0, 129.0]], ('B12L0', 0.8244415521621704)], [[[75.0, 148.0], [123.0, 152.0], [122.0, 167.0], [74.0, 163.0]], ('ANTI PAS!', 0.8379668593406677)], [[[153.0, 147.0], [175.0, 147.0], [175.0, 159.0], [153.0, 159.0]], ('FOO0', 0.6845989227294922)], [[[74.0, 164.0], [110.0, 164.0], [110.0, 178.0], [74.0, 178.0]], ('EHIKEN', 0.5563942790031433)], [[[225.0, 158.0], [251.0, 158.0], [251.0, 173.0], [225.0, 173.0]], ('15.00', 0.983669102191925)], [[[71.0, 183.0], [141.0, 186.0], [141.0, 200.0], [71.0, 197.0]], ('PARMESAN FRIES', 0.9362888336181641)], [[[133.0, 177.0], [153.0, 177.0], [153.0, 189.0], [133.0, 189.0]], ('2', 0.9718655347824097)], [[[175.0, 177.0], [202.0, 177.0], [202.0, 192.0], [175.0, 192.0]], ('15.50', 0.9878146052360535)], [[[225.0, 176.0], [253.0, 179.0], [252.0, 194.0], [223.0, 191.0]], ('31.00', 0.984007716178894)], [[[113.0, 198.0], [160.0, 198.0], [160.0, 212.0], [113.0, 212.0]], ('(Sub-Tota)', 0.8071498870849609)], [[[184.0, 199.0], [213.0, 199.0], [213.0, 214.0], [184.0, 214.0]], ('49.75)', 0.9296135902404785)], [[[229.0, 190.0], [253.0, 190.0], [253.0, 205.0], [229.0, 205.0]], ('3.75', 0.9307798743247986)], [[[69.0, 230.0], [148.0, 233.0], [148.0, 247.0], [68.0, 244.0]], ('GIs CCHAGAVIA SB', 0.8783974051475525)], [[[148.0, 224.0], [172.0, 224.0], [172.0, 235.0], [148.0, 235.0]], ('DRINK', 0.9837163090705872)], [[[67.0, 244.0], [139.0, 246.0], [139.0, 260.0], [67.0, 258.0]], ('Gls PINOT NOIR', 0.8838971853256226)], [[[232.0, 236.0], [254.0, 236.0], [254.0, 252.0], [232.0, 252.0]], ('5.25', 0.9086897373199463)], [[[66.0, 256.0], [146.0, 258.0], [146.0, 272.0], [66.0, 270.0]], ('Gls OCHAGAVIA SB', 0.8929703235626221)], [[[66.0, 269.0], [136.0, 271.0], [136.0, 285.0], [65.0, 283.0]], ('GIs PINOT NOIR', 0.8754950761795044)], [[[110.0, 283.0], [158.0, 283.0], [158.0, 297.0], [110.0, 297.0]], ('(Sub-Total', 0.8707826733589172)], [[[182.0, 284.0], [212.0, 284.0], [212.0, 298.0], [182.0, 298.0]], ('23.50)', 0.9375612139701843)], [[[63.0, 308.0], [125.0, 308.0], [125.0, 333.0], [63.0, 333.0]], ('Total:', 0.9877659678459167)], [[[198.0, 308.0], [255.0, 308.0], [255.0, 330.0], [198.0, 330.0]], ('73.25', 0.9795163869857788)], [[[90.0, 346.0], [228.0, 343.0], [229.0, 368.0], [91.0, 370.0]], ('Requested Bi1l', 0.92718505859375)], [[[91.0, 383.0], [222.0, 383.0], [222.0, 407.0], [91.0, 407.0]], ('TABLE PLAN:24', 0.9341241121292114)]]
{"store_name": "COPPI COPPIRESTAURANT", "store_addr": "BT12LD", "telephone": "", "date": "", "time": "", "subtotal": "", "tax": "", "total": "\u00a373.25", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "CHICKEN", "item_value": "15.00", "item_quantity": "1"}, {"item_key": "", "item_name": "PARMESANFRIES", "item_value": "31.00", "item_quantity": "1"}, {"item_key": "", "item_name": "GlsDCHAGAVIASB", "item_value": "3.75", "item_quantity": "1"}, {"item_key": "", "item_name": "GlsPINOTNOIR", "item_value": "5.25", "item_quantity": "1"}, {"item_key": "", "item_name": "GlsDCHAGAVIASB", "item_value": "6.50", "item_quantity": "1"}, {"item_key": "", "item_name": "GlsPINOTNOIR", "item_value": "5.25", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "6.50", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[101.0, 31.0], [149.0, 29.0], [150.0, 43.0], [101.0, 45.0]], ('*PARCEL*', 0.9555373191833496)], [[[43.0, 49.0], [124.0, 42.0], [125.0, 56.0], [44.0, 63.0]], ('RETAIL INVOICE', 0.9511950612068176)], [[[140.0, 42.0], [187.0, 40.0], [187.0, 54.0], [141.0, 56.0]], ('ORIGINAL', 0.9946167469024658)], [[[79.0, 58.0], [172.0, 54.0], [173.0, 68.0], [79.0, 73.0]], ('SIGDI RESTAURANT', 0.9532341361045837)], [[[32.0, 74.0], [218.0, 61.0], [219.0, 79.0], [33.0, 92.0]], ('M-1.Safal Square,University Rd,', 0.87098228931427)], [[[92.0, 85.0], [166.0, 80.0], [166.0, 94.0], [93.0, 99.0]], ('Vesu,Surat', 0.9382718205451965)], [[[64.0, 99.0], [170.0, 92.0], [171.0, 108.0], [65.0, 115.0]], ('Phone9016449600', 0.99281245470047)], [[[13.0, 118.0], [148.0, 107.0], [149.0, 121.0], [14.0, 132.0]], ('GST NO24AALFT7660C1ZA', 0.9571588635444641)], [[[13.0, 172.0], [101.0, 166.0], [102.0, 181.0], [14.0, 186.0]], ('B111 No7629', 0.887262761592865)], [[[149.0, 163.0], [253.0, 155.0], [254.0, 170.0], [150.0, 178.0]], ('Date11-Feb-2018', 0.989101767539978)], [[[150.0, 177.0], [220.0, 171.0], [221.0, 186.0], [152.0, 192.0]], ('Time21:23', 0.9509016871452332)], [[[14.0, 187.0], [93.0, 182.0], [93.0, 196.0], [15.0, 201.0]], ('Table No34', 0.9490362405776978)], [[[16.0, 201.0], [78.0, 197.0], [79.0, 211.0], [17.0, 215.0]], ('Wtr/Capt:', 0.9216511845588684)], [[[163.0, 215.0], [250.0, 209.0], [251.0, 226.0], [164.0, 232.0]], ('QTY RT.AMOUNT', 0.9418211579322815)], [[[18.0, 227.0], [84.0, 223.0], [85.0, 237.0], [19.0, 241.0]], ('DESCRIPTION', 0.9825700521469116)], [[[155.0, 244.0], [188.0, 242.0], [190.0, 257.0], [156.0, 259.0]], ('1.000', 0.9961063265800476)], [[[192.0, 241.0], [215.0, 241.0], [215.0, 256.0], [192.0, 256.0]], ('195', 0.9986096024513245)], [[[241.0, 239.0], [259.0, 239.0], [259.0, 252.0], [241.0, 252.0]], ('195', 0.9994695782661438)], [[[20.0, 255.0], [123.0, 247.0], [124.0, 261.0], [21.0, 270.0]], ('VEG 65 DRY &GREVY', 0.9254704117774963)], [[[156.0, 258.0], [190.0, 256.0], [191.0, 271.0], [157.0, 274.0]], ('1.000', 0.9958556294441223)], [[[191.0, 255.0], [216.0, 255.0], [216.0, 270.0], [191.0, 270.0]], ('215', 0.9977057576179504)], [[[240.0, 252.0], [262.0, 252.0], [262.0, 267.0], [240.0, 267.0]], ('215', 0.9990825057029724)], [[[19.0, 269.0], [103.0, 264.0], [104.0, 278.0], [20.0, 284.0]], ('CHICKEN MASALA', 0.9811735153198242)], [[[156.0, 273.0], [189.0, 270.0], [190.0, 285.0], [157.0, 288.0]], ('2.000', 0.9973990321159363)], [[[200.0, 271.0], [215.0, 267.0], [218.0, 282.0], [203.0, 285.0]], ('40', 0.9969702959060669)], [[[245.0, 265.0], [263.0, 265.0], [263.0, 282.0], [245.0, 282.0]], ('80', 0.989498496055603)], [[[19.0, 285.0], [87.0, 279.0], [88.0, 293.0], [20.0, 299.0]], ('BUTTER NAAN', 0.9541517496109009)], [[[158.0, 287.0], [190.0, 284.0], [191.0, 299.0], [159.0, 302.0]], ('1.000', 0.9935663342475891)], [[[201.0, 285.0], [216.0, 282.0], [219.0, 296.0], [203.0, 299.0]], ('50', 0.9991533756256104)], [[[248.0, 279.0], [265.0, 279.0], [265.0, 296.0], [248.0, 296.0]], ('50', 0.9982621669769287)], [[[20.0, 299.0], [87.0, 294.0], [88.0, 308.0], [21.0, 313.0]], ('GARLIC NAAN', 0.9681422710418701)], [[[190.0, 314.0], [199.0, 314.0], [199.0, 327.0], [190.0, 327.0]], ('5', 0.9983194470405579)], [[[246.0, 308.0], [267.0, 308.0], [267.0, 324.0], [246.0, 324.0]], ('540', 0.9982278943061829)], [[[22.0, 328.0], [51.0, 324.0], [53.0, 340.0], [23.0, 344.0]], ('TOTAL', 0.998763918876648)], [[[223.0, 338.0], [269.0, 334.0], [270.0, 352.0], [225.0, 356.0]], ('Rs.540', 0.9684693813323975)], [[[25.0, 357.0], [78.0, 353.0], [79.0, 367.0], [26.0, 371.0]], ('NET TOTAL', 0.9616742730140686)], [[[25.0, 384.0], [144.0, 376.0], [145.0, 393.0], [26.0, 401.0]], ('E.&0.E.Thanks..', 0.8968373537063599)], [[[27.0, 401.0], [149.0, 392.0], [150.0, 407.0], [27.0, 415.0]], ('Kindly Visit Again..', 0.9403769373893738)], [[[28.0, 415.0], [136.0, 408.0], [137.0, 422.0], [29.0, 429.0]], ('TIN NO.24222304374', 0.9677311778068542)]]
{"store_name": "SIGDIRESTAURANT", "store_addr": "M-1,SafalSquare,UniversityRd. Vesu,Surat", "telephone": "9016449600", "date": "11-Feb-2018", "time": "21:23", "subtotal": "Rs.540", "tax": "", "total": "540", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "VEG65DRY&GREVY", "item_value": "195", "item_quantity": "1"}, {"item_key": "", "item_name": "CHICKENMASALA", "item_value": "215", "item_quantity": "1"}, {"item_key": "", "item_name": "BUTTERNAAN", "item_value": "80", "item_quantity": "1"}, {"item_key": "", "item_name": "GARLICNAAN", "item_value": "50", "item_quantity": "1"}, {"item_key": "DESCRIPTION", "item_name": "", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[91.0, 30.0], [222.0, 32.0], [222.0, 52.0], [91.0, 50.0]], ('THAI NOODLES', 0.9683551788330078)], [[[62.0, 47.0], [255.0, 51.0], [254.0, 72.0], [61.0, 68.0]], ('2090FIRST STREET UNIT E', 0.9290857911109924)], [[[82.0, 70.0], [233.0, 70.0], [233.0, 84.0], [82.0, 84.0]], ('SIMI VALLEY,CA 93065', 0.9366302490234375)], [[[109.0, 86.0], [204.0, 86.0], [204.0, 100.0], [109.0, 100.0]], ('805-306-5941', 0.9864634871482849)], [[[103.0, 112.0], [208.0, 109.0], [209.0, 130.0], [103.0, 133.0]], ('ORDER:54', 0.980338990688324)], [[[96.0, 137.0], [216.0, 134.0], [216.0, 156.0], [96.0, 158.0]], ('To Go Order', 0.921437680721283)], [[[4.0, 158.0], [154.0, 160.0], [154.0, 177.0], [4.0, 175.0]], ('13-Dec-20151:25:27P', 0.9471332430839539)], [[[5.0, 185.0], [133.0, 185.0], [133.0, 199.0], [5.0, 199.0]], ('Transaction 001141', 0.9666324257850647)], [[[0.0, 217.0], [133.0, 218.0], [132.0, 233.0], [0.0, 232.0]], ('131.Part Ka Pow', 0.9532298445701599)], [[[271.0, 216.0], [318.0, 216.0], [318.0, 234.0], [271.0, 234.0]], ('$8.99', 0.9931735992431641)], [[[233.0, 234.0], [318.0, 236.0], [318.0, 253.0], [232.0, 251.0]], ('Pork$0.00', 0.9899606704711914)], [[[24.0, 268.0], [144.0, 270.0], [144.0, 287.0], [24.0, 285.0]], ('Steam Rice Large', 0.9734643697738647)], [[[271.0, 271.0], [318.0, 271.0], [318.0, 289.0], [271.0, 289.0]], ('$4.00', 0.9979324340820312)], [[[25.0, 285.0], [93.0, 290.0], [91.0, 307.0], [24.0, 302.0]], ('Red Curry', 0.9602338075637817)], [[[272.0, 290.0], [317.0, 290.0], [317.0, 308.0], [272.0, 308.0]], ('$8.99', 0.9973147511482239)], [[[236.0, 307.0], [318.0, 311.0], [317.0, 328.0], [235.0, 324.0]], ('Beef$0.00', 0.9895889759063721)], [[[23.0, 339.0], [111.0, 343.0], [110.0, 361.0], [22.0, 357.0]], ('19.Pad Thai', 0.9568130373954773)], [[[273.0, 345.0], [322.0, 348.0], [321.0, 369.0], [272.0, 366.0]], ('$8.99', 0.9975559115409851)], [[[215.0, 365.0], [325.0, 370.0], [324.0, 391.0], [214.0, 386.0]], ('Shrimp$2.00', 0.9938544631004333)], [[[29.0, 385.0], [211.0, 399.0], [209.0, 416.0], [27.0, 402.0]], ('Thai lce Tea Large W/boba', 0.9398818016052246)], [[[16.0, 403.0], [70.0, 412.0], [68.0, 427.0], [14.0, 417.0]], ('Subtotal', 0.9727718830108643)], [[[276.0, 402.0], [324.0, 407.0], [322.0, 425.0], [274.0, 420.0]], ('$3.25', 0.9962040781974792)], [[[25.0, 416.0], [45.0, 422.0], [42.0, 432.0], [22.0, 426.0]], ('Tax', 0.723109781742096)], [[[265.0, 431.0], [322.0, 433.0], [321.0, 449.0], [264.0, 448.0]], ('$36.22', 0.9948837161064148)]]
{"store_name": "THAINOODLES", "store_addr": "2090FIRSTSTREETUNITE SIMIVALLEY,CA93065", "telephone": "805-306-5941", "date": "13Dec-2015", "time": "1:25:27P", "subtotal": "$36.22", "tax": "", "total": "", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "31.PartKaPow", "item_value": "$8.99", "item_quantity": "1"}, {"item_key": "", "item_name": "SteamRiceLarge", "item_value": "$0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "RedCurry", "item_value": "$4.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Beef", "item_value": "$8.99", "item_quantity": "1"}, {"item_key": "", "item_name": "19.PadThai", "item_value": "$0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "$3.25", "item_value": "$8.99", "item_quantity": "1"}, {"item_key": "", "item_name": "ThaiIceTeaLargeW/boba", "item_value": "$2.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Pork", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "Shrimp", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[217.0, 0.0], [364.0, 9.0], [364.0, 24.0], [216.0, 12.0]], ('Kongress Hotel', 0.9202122688293457)], [[[262.0, 12.0], [332.0, 18.0], [331.0, 33.0], [261.0, 27.0]], ('Promenade 94', 0.8952252268791199)], [[[253.0, 24.0], [340.0, 31.0], [339.0, 46.0], [252.0, 39.0]], ('7270 Davos Platz', 0.9440767765045166)], [[[191.0, 55.0], [232.0, 61.0], [230.0, 77.0], [188.0, 70.0]], ('1SILVA', 0.9774508476257324)], [[[182.0, 81.0], [229.0, 87.0], [228.0, 101.0], [181.0, 96.0]], ('118/1', 0.8886750936508179)], [[[266.0, 90.0], [314.0, 93.0], [313.0, 108.0], [265.0, 105.0]], ('Chk2022', 0.8786495923995972)], [[[249.0, 101.0], [329.0, 108.0], [328.0, 124.0], [248.0, 116.0]], ('24Jan1408:33', 0.9605112075805664)], [[[368.0, 96.0], [401.0, 99.0], [400.0, 115.0], [367.0, 112.0]], ('Gst1', 0.9488424062728882)], [[[200.0, 123.0], [277.0, 130.0], [276.0, 145.0], [199.0, 138.0]], ('Im Haus', 0.9560936093330383)], [[[186.0, 136.0], [251.0, 141.0], [250.0, 155.0], [185.0, 151.0]], ('1 Coca Cola', 0.8413827419281006)], [[[184.0, 149.0], [255.0, 155.0], [254.0, 170.0], [183.0, 164.0]], ('1.Cacpuccino', 0.8729084134101868)], [[[354.0, 151.0], [382.0, 151.0], [382.0, 167.0], [354.0, 167.0]], ('4.80', 0.9840648174285889)], [[[183.0, 163.0], [265.0, 172.0], [263.0, 185.0], [182.0, 177.0]], ('1 Kaffee Creme', 0.8628650307655334)], [[[353.0, 162.0], [382.0, 165.0], [381.0, 181.0], [352.0, 178.0]], ('5.50', 0.9872499108314514)], [[[181.0, 177.0], [246.0, 183.0], [245.0, 198.0], [180.0, 192.0]], ('2FROHSTUCK', 0.8529898524284363)], [[[351.0, 178.0], [381.0, 178.0], [381.0, 194.0], [351.0, 194.0]], ('4.40', 0.9848528504371643)], [[[347.0, 190.0], [380.0, 193.0], [379.0, 209.0], [346.0, 206.0]], ('80.00', 0.9939359426498413)], [[[168.0, 202.0], [232.0, 210.0], [231.0, 225.0], [167.0, 217.0]], ('08:34TOTAL', 0.9441443681716919)], [[[318.0, 216.0], [377.0, 221.0], [376.0, 237.0], [317.0, 232.0]], ('94.70', 0.9973706007003784)], [[[488.0, 227.0], [520.0, 227.0], [520.0, 235.0], [488.0, 235.0]], ('Peter', 0.9852825999259949)]]
{"store_name": "KongressHotel", "store_addr": "7270DavosPlatz Pronenada94", "telephone": "", "date": "24Jan'14", "time": "08:34", "subtotal": "", "tax": "", "total": "94.70", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "FROHSTUCK", "item_value": "4.80", "item_quantity": "1"}, {"item_key": "", "item_name": "KaffeeCreme", "item_value": "5.50", "item_quantity": "1"}, {"item_key": "", "item_name": "Cappuccino", "item_value": "4.40", "item_quantity": "1"}, {"item_key": "", "item_name": "CocaCola", "item_value": "80.00", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[150.0, 56.0], [608.0, 56.0], [608.0, 134.0], [150.0, 134.0]], ('SAFEWAY', 0.9861161112785339)], [[[132.0, 167.0], [784.0, 163.0], [784.0, 196.0], [133.0, 199.0]], ('STORE MGRM1HELECRIVE0 4O864-1523', 0.8452590703964233)], [[[186.0, 199.0], [711.0, 198.0], [711.0, 227.0], [186.0, 229.0]], ('THANK YOU FOF SHOFPNG WITH US!', 0.8400100469589233)], [[[373.0, 327.0], [515.0, 323.0], [516.0, 358.0], [374.0, 361.0]], ('GROCERY', 0.9346449971199036)], [[[74.0, 396.0], [415.0, 392.0], [415.0, 420.0], [75.0, 423.0]], ('NATUREHLLYG H?', 0.8443949818611145)], [[[749.0, 389.0], [839.0, 385.0], [841.0, 421.0], [751.0, 425.0]], ('00', 0.9715664386749268)], [[[76.0, 428.0], [335.0, 428.0], [335.0, 456.0], [76.0, 456.0]], ('RegPrice 3.49', 0.9112823009490967)], [[[436.0, 427.0], [678.0, 421.0], [679.0, 454.0], [437.0, 459.0]], ('Cardsa 3.9', 0.8229204416275024)], [[[71.0, 457.0], [319.0, 461.0], [318.0, 494.0], [71.0, 490.0]], ('Mfr.eCoupon', 0.9186679720878601)], [[[745.0, 454.0], [823.0, 454.0], [823.0, 490.0], [745.0, 490.0]], ('.50-', 0.9368209838867188)], [[[71.0, 492.0], [319.0, 495.0], [318.0, 528.0], [71.0, 524.0]], ('Mfr. eCoupon', 0.8628177642822266)], [[[745.0, 490.0], [824.0, 490.0], [824.0, 526.0], [745.0, 526.0]], ('.50-', 0.975610613822937)], [[[745.0, 526.0], [824.0, 526.0], [824.0, 562.0], [745.0, 562.0]], ('.50-', 0.9687350392341614)], [[[726.0, 562.0], [810.0, 562.0], [810.0, 592.0], [726.0, 592.0]], ('3.98', 0.9935048222541809)], [[[73.0, 600.0], [333.0, 600.0], [333.0, 628.0], [73.0, 628.0]], ('RegPrice 8.93', 0.8695001006126404)], [[[68.0, 629.0], [317.0, 633.0], [316.0, 665.0], [68.0, 662.0]], ('Mfr. eCouFon', 0.8718276023864746)], [[[745.0, 630.0], [828.0, 625.0], [830.0, 663.0], [746.0, 667.0]], ('.75-', 0.8883681893348694)], [[[70.0, 667.0], [341.0, 667.0], [341.0, 695.0], [70.0, 695.0]], ('2@1.99NN', 0.8582206964492798)], [[[399.0, 665.0], [495.0, 665.0], [495.0, 695.0], [399.0, 695.0]], ('OERS', 0.8853816986083984)], [[[724.0, 666.0], [848.0, 662.0], [849.0, 698.0], [725.0, 701.0]], ('3.98', 0.9929903149604797)], [[[68.0, 703.0], [333.0, 703.0], [333.0, 731.0], [68.0, 731.0]], ('RegPrice7.53', 0.8293363451957703)], [[[440.0, 701.0], [689.0, 701.0], [689.0, 734.0], [440.0, 734.0]], ('CerdSay 3.63', 0.8209196925163269)], [[[67.0, 732.0], [315.0, 737.0], [315.0, 770.0], [66.0, 765.0]], ('MfreCoupon', 0.9455662965774536)], [[[727.0, 734.0], [832.0, 734.0], [832.0, 768.0], [727.0, 768.0]], ('1.00-', 0.9647629857063293)], [[[63.0, 768.0], [317.0, 772.0], [317.0, 804.0], [63.0, 801.0]], ('NfreCoupon', 0.9002394676208496)], [[[731.0, 771.0], [832.0, 771.0], [832.0, 801.0], [731.0, 801.0]], ('1.00-', 0.9899351000785828)], [[[63.0, 802.0], [315.0, 806.0], [315.0, 839.0], [63.0, 835.0]], ('Mfr. eCoupon', 0.8704361319541931)], [[[729.0, 804.0], [836.0, 804.0], [836.0, 838.0], [729.0, 838.0]], ('1.00-', 0.977958083152771)], [[[314.0, 871.0], [579.0, 875.0], [578.0, 909.0], [313.0, 905.0]], ('REFRIG/FROZEN', 0.8547551035881042)], [[[60.0, 945.0], [331.0, 946.0], [331.0, 976.0], [60.0, 974.0]], ('LARGE AA EGGS', 0.9086008071899414)], [[[732.0, 945.0], [834.0, 945.0], [834.0, 981.0], [732.0, 981.0]], ('1.99', 0.9928892850875854)], [[[60.0, 981.0], [333.0, 982.0], [333.0, 1012.0], [60.0, 1010.0]], ('RegPice 249', 0.80938321352005)], [[[57.0, 1013.0], [440.0, 1018.0], [439.0, 1051.0], [56.0, 1046.0]], ('FAGETOTAL2%YOLI', 0.8008612394332886)], [[[730.0, 1017.0], [862.0, 1011.0], [864.0, 1050.0], [732.0, 1056.0]], ('1.25', 0.9861007928848267)], [[[57.0, 1051.0], [333.0, 1056.0], [333.0, 1090.0], [56.0, 1085.0]], ('ResPrice 1.99', 0.8277048468589783)], [[[440.0, 1056.0], [671.0, 1056.0], [671.0, 1090.0], [440.0, 1090.0]], ('CardSay.76', 0.8349830508232117)], [[[377.0, 1129.0], [524.0, 1129.0], [524.0, 1164.0], [377.0, 1164.0]], ('PRODUCE', 0.8475971221923828)], [[[53.0, 1198.0], [165.0, 1198.0], [165.0, 1232.0], [53.0, 1232.0]], ('20.50', 0.9546827077865601)], [[[223.0, 1200.0], [609.0, 1203.0], [609.0, 1236.0], [223.0, 1232.0]], ('GREEN BELFEPPERS', 0.8940389156341553)], [[[737.0, 1203.0], [865.0, 1198.0], [867.0, 1233.0], [738.0, 1239.0]], ('1.00=', 0.9363662004470825)], [[[52.0, 1235.0], [332.0, 1241.0], [331.0, 1275.0], [52.0, 1270.0]], ('ResPrice 2.59', 0.8337981700897217)], [[[440.0, 1242.0], [698.0, 1242.0], [698.0, 1275.0], [440.0, 1275.0]], ('CordSay 1.53', 0.7980054020881653)], [[[52.0, 1271.0], [225.0, 1275.0], [224.0, 1308.0], [51.0, 1304.0]], ('102/1.00', 0.9409219026565552)], [[[50.0, 1309.0], [328.0, 1313.0], [328.0, 1345.0], [50.0, 1342.0]], ('NEDIUM CELERY', 0.9442755579948425)], [[[774.0, 1314.0], [847.0, 1314.0], [847.0, 1352.0], [774.0, 1352.0]], ('50', 0.9927361011505127)], [[[50.0, 1348.0], [331.0, 1350.0], [331.0, 1384.0], [50.0, 1383.0]], ('RegPrice1.50', 0.918781042098999)], [[[68.0, 1384.0], [288.0, 1388.0], [287.0, 1422.0], [68.0, 1418.0]], ('102/1.00', 0.9197749495506287)], [[[48.0, 1420.0], [180.0, 1424.0], [179.0, 1460.0], [47.0, 1456.0]], ('GARLIC', 0.9915075898170471)], [[[779.0, 1427.0], [844.0, 1427.0], [844.0, 1464.0], [779.0, 1464.0]], ('50.', 0.8283565640449524)], [[[311.0, 1502.0], [587.0, 1505.0], [586.0, 1540.0], [310.0, 1536.0]], ('MISCELLANEOUS', 0.9094091057777405)]]
{"store_name": "SAFEWAY", "store_addr": "", "telephone": "408-264-1523", "date": "", "time": "", "subtotal": "", "tax": "", "total": "", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "LARGEAAEGGS", "item_value": ".00", "item_quantity": "1"}, {"item_key": "", "item_name": "MEDIUMCELERY", "item_value": "", "item_quantity": "1"}, {"item_key": "", "item_name": "GARLIC", "item_value": "3.98", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "3.98", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "1.99", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "1.25", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "1.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": ".50", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": ".50", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[55.0, 3.0], [290.0, 8.0], [289.0, 25.0], [54.0, 20.0]], ('We are the one stop for all your', 0.9343051314353943)], [[[43.0, 22.0], [299.0, 27.0], [298.0, 44.0], [42.0, 38.0]], ('shipping, postal and business needs', 0.9229282736778259)], [[[52.0, 56.0], [293.0, 60.0], [292.0, 77.0], [51.0, 73.0]], ('We offer al1 the services you need', 0.9128774404525757)], [[[71.0, 76.0], [268.0, 78.0], [268.0, 95.0], [71.0, 93.0]], ('to keep your business going', 0.9629510045051575)], [[[40.0, 160.0], [151.0, 163.0], [151.0, 184.0], [39.0, 181.0]], ('001 500386030', 0.9282010793685913)], [[[246.0, 167.0], [326.0, 169.0], [326.0, 187.0], [245.0, 185.0]], ('TO$3.00', 0.9637925028800964)], [[[66.0, 180.0], [190.0, 182.0], [190.0, 199.0], [66.0, 197.0]], ('$3 Computer Renta', 0.9637616276741028)], [[[42.0, 194.0], [151.0, 197.0], [151.0, 215.0], [41.0, 211.0]], ('002500190 003)', 0.9319626092910767)], [[[69.0, 209.0], [249.0, 215.0], [249.0, 232.0], [68.0, 227.0]], ('Copies 1/0 8.5x11QTY 2', 0.9058520793914795)], [[[250.0, 202.0], [279.0, 202.0], [279.0, 217.0], [250.0, 217.0]], ('T$', 0.9785290956497192)], [[[291.0, 204.0], [323.0, 204.0], [323.0, 218.0], [291.0, 218.0]], ('0.40', 0.9936610460281372)], [[[71.0, 225.0], [167.0, 230.0], [167.0, 245.0], [70.0, 241.0]], ('Reg Unit Price', 0.9622625708580017)], [[[186.0, 230.0], [254.0, 230.0], [254.0, 247.0], [186.0, 247.0]], ('$0.20', 0.9637007713317871)], [[[195.0, 258.0], [251.0, 260.0], [251.0, 275.0], [195.0, 273.0]], ('SubTotal', 0.9772146940231323)], [[[263.0, 264.0], [271.0, 264.0], [271.0, 274.0], [263.0, 274.0]], ('S', 0.5685881972312927)], [[[288.0, 261.0], [320.0, 263.0], [318.0, 279.0], [286.0, 276.0]], ('3.40', 0.9950085282325745)], [[[157.0, 271.0], [250.0, 275.0], [250.0, 290.0], [156.0, 286.0]], ('CaSalesTax T', 0.931168258190155)], [[[262.0, 279.0], [270.0, 279.0], [270.0, 289.0], [262.0, 289.0]], ('$', 0.5762454867362976)], [[[287.0, 278.0], [318.0, 278.0], [318.0, 293.0], [287.0, 293.0]], ('0.04', 0.9946194887161255)], [[[217.0, 289.0], [250.0, 289.0], [250.0, 304.0], [217.0, 304.0]], ('Total', 0.9808443188667297)], [[[287.0, 292.0], [317.0, 292.0], [317.0, 306.0], [287.0, 306.0]], ('3.44', 0.9888738393783569)], [[[219.0, 317.0], [273.0, 320.0], [272.0, 337.0], [218.0, 335.0]], ('Cash $', 0.9328175187110901)], [[[284.0, 321.0], [316.0, 321.0], [316.0, 338.0], [284.0, 338.0]], ('5.00', 0.9963889122009277)]]
{"store_name": "", "store_addr": "", "telephone": "", "date": "", "time": "", "subtotal": "$3.40", "tax": "$0.04", "total": "$3.44", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "500386(030)", "item_value": "$3.00", "item_quantity": "1"}, {"item_key": "", "item_name": "$3ComputerRental", "item_value": "$0.40", "item_quantity": "1"}, {"item_key": "", "item_name": "500190(003)", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "Copies1/08.5x11", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[118.0, 49.0], [209.0, 40.0], [211.0, 57.0], [120.0, 66.0]], ('TIN0001340532', 0.9422127604484558)], [[[71.0, 67.0], [265.0, 53.0], [266.0, 70.0], [72.0, 84.0]], ('Yod Abyssinia Culura Restaurant', 0.8468538522720337)], [[[59.0, 80.0], [270.0, 65.0], [271.0, 83.0], [61.0, 98.0]], ('5.City.Bole.K.03.H.Ho.2298Bs.r', 0.8063724637031555)], [[[69.0, 94.0], [254.0, 81.0], [256.0, 97.0], [70.0, 110.0]], ('Aodis Abeba.1e1-251-011-6512985', 0.8269447088241577)], [[[33.0, 109.0], [135.0, 104.0], [136.0, 118.0], [34.0, 123.0]], ('EJRec.00041239 01', 0.9250086545944214)], [[[178.0, 111.0], [312.0, 103.0], [313.0, 121.0], [179.0, 129.0]], ('DATE13/08/201220106', 0.9136360287666321)], [[[33.0, 122.0], [119.0, 118.0], [120.0, 132.0], [34.0, 136.0]], ('FS NO.00105988', 0.9227291345596313)], [[[132.0, 142.0], [314.0, 132.0], [315.0, 149.0], [133.0, 159.0]], ('CASH INVOICE RSER', 0.7995392084121704)], [[[32.0, 160.0], [95.0, 158.0], [96.0, 172.0], [33.0, 174.0]], ('Custoner:', 0.9144310355186462)], [[[32.0, 172.0], [158.0, 167.0], [159.0, 182.0], [33.0, 187.0]], ('Ref No.Y1-00187512', 0.9285032749176025)], [[[32.0, 185.0], [143.0, 183.0], [143.0, 197.0], [33.0, 199.0]], ('Cashier :FirehiwotT', 0.8696447610855103)], [[[34.0, 198.0], [87.0, 198.0], [87.0, 212.0], [34.0, 212.0]], ('Table:32', 0.9480677843093872)], [[[133.0, 195.0], [203.0, 193.0], [204.0, 208.0], [134.0, 210.0]], ('Welter-Zen', 0.7713730335235596)], [[[32.0, 224.0], [98.0, 224.0], [98.0, 238.0], [32.0, 238.0]], ('Description', 0.9947453141212463)], [[[208.0, 220.0], [232.0, 220.0], [232.0, 236.0], [208.0, 236.0]], ('aty', 0.7889402508735657)], [[[280.0, 218.0], [316.0, 218.0], [316.0, 233.0], [280.0, 233.0]], ('PEICH', 0.7497197389602661)], [[[29.0, 250.0], [164.0, 248.0], [164.0, 262.0], [30.0, 264.0]], ('Special National Dinner', 0.9499474167823792)], [[[205.0, 247.0], [249.0, 247.0], [249.0, 262.0], [205.0, 262.0]], ('175.00', 0.9323341250419617)], [[[270.0, 246.0], [316.0, 246.0], [316.0, 261.0], [270.0, 261.0]], ('175.00', 0.9319448471069336)], [[[28.0, 263.0], [79.0, 263.0], [79.0, 277.0], [28.0, 277.0]], ('Doro Wat', 0.882392168045044)], [[[209.0, 261.0], [243.0, 261.0], [243.0, 275.0], [209.0, 275.0]], ("00'96", 0.7578125)], [[[276.0, 260.0], [316.0, 260.0], [316.0, 274.0], [276.0, 274.0]], ('#95.00', 0.952381432056427)], [[[27.0, 276.0], [168.0, 274.0], [168.0, 289.0], [27.0, 291.0]], ('Highland Water1/2 Lts.)', 0.8768018484115601)], [[[208.0, 274.0], [244.0, 274.0], [244.0, 289.0], [208.0, 289.0]], ('78.00', 0.9154685139656067)], [[[277.0, 274.0], [317.0, 274.0], [317.0, 289.0], [277.0, 289.0]], ('20.00', 0.8735201954841614)], [[[27.0, 290.0], [97.0, 290.0], [97.0, 304.0], [27.0, 304.0]], ('Soft Drinks', 0.960593581199646)], [[[207.0, 288.0], [244.0, 288.0], [244.0, 303.0], [207.0, 303.0]], ('28.00', 0.9783967733383179)], [[[26.0, 304.0], [134.0, 303.0], [134.0, 317.0], [26.0, 318.0]], ('Traditionai Coffee', 0.9257928133010864)], [[[198.0, 303.0], [246.0, 303.0], [246.0, 317.0], [198.0, 317.0]], ('215.00', 0.9774450659751892)], [[[277.0, 303.0], [317.0, 303.0], [317.0, 317.0], [277.0, 317.0]], ('30.00', 0.870378315448761)], [[[26.0, 318.0], [122.0, 318.0], [122.0, 332.0], [26.0, 332.0]], ('SUBTOTAL', 0.9971843957901001)], [[[230.0, 317.0], [317.0, 317.0], [317.0, 331.0], [230.0, 331.0]], ('*356.00', 0.8618209958076477)], [[[25.0, 332.0], [169.0, 332.0], [169.0, 347.0], [25.0, 347.0]], ('Service Charge 10%)', 0.9277498126029968)], [[[279.0, 331.0], [319.0, 331.0], [319.0, 347.0], [279.0, 347.0]], ('35.60', 0.7774789333343506)], [[[253.0, 348.0], [319.0, 348.0], [319.0, 359.0], [253.0, 359.0]], ('CARZRRKEED', 0.5505268573760986)], [[[23.0, 361.0], [80.0, 361.0], [80.0, 375.0], [23.0, 375.0]], ('TAXABLE 1', 0.9281440377235413)], [[[273.0, 359.0], [320.0, 359.0], [320.0, 377.0], [273.0, 377.0]], ('#391.60', 0.8086690902709961)], [[[22.0, 372.0], [82.0, 375.0], [81.0, 393.0], [21.0, 391.0]], ('TAX115%', 0.9544668197631836)], [[[278.0, 375.0], [317.0, 372.0], [318.0, 388.0], [279.0, 391.0]], ('58.74', 0.8543975949287415)], [[[22.0, 391.0], [94.0, 391.0], [94.0, 416.0], [22.0, 416.0]], ('TOTAL:', 0.9862038493156433)], [[[228.0, 388.0], [318.0, 388.0], [318.0, 416.0], [228.0, 416.0]], ('*450.34', 0.968002438545227)], [[[23.0, 417.0], [77.0, 417.0], [77.0, 433.0], [23.0, 433.0]], ('CASH', 0.9960205554962158)], [[[229.0, 414.0], [309.0, 412.0], [310.0, 429.0], [229.0, 431.0]], ('*460.3', 0.7562959790229797)], [[[24.0, 431.0], [86.0, 431.0], [86.0, 445.0], [24.0, 445.0]], ('ITEM COUNT', 0.9343553781509399)]]
{"store_name": "", "store_addr": "", "telephone": "", "date": "13/08/2012", "time": "20.00", "subtotal": "*356.00", "tax": "", "total": "*450.34", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "SpecialNationalDinner", "item_value": "*175.00", "item_quantity": "1"}, {"item_key": "", "item_name": "DoroWat", "item_value": "*95.00", "item_quantity": "1"}, {"item_key": "", "item_name": "HighlandWater(1/2Lts.)", "item_value": "*28.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SoftDrinks", "item_value": "*28.00", "item_quantity": "1"}, {"item_key": "", "item_name": "TraditionalCoffee", "item_value": "*30.00", "item_quantity": "1"}, {"item_key": "Description", "item_name": "", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[726.0, 435.0], [983.0, 443.0], [982.0, 504.0], [725.0, 496.0]], ('FOOD LION', 0.9507679343223572)], [[[595.0, 495.0], [1126.0, 521.0], [1123.0, 593.0], [592.0, 567.0]], ("GET YOUR LION'S SHARE", 0.9343031644821167)], [[[447.0, 648.0], [1177.0, 688.0], [1173.0, 766.0], [443.0, 726.0]], ('Thank Yout Sales AssociateACM1', 0.9242744445800781)], [[[622.0, 802.0], [953.0, 820.0], [950.0, 878.0], [619.0, 859.0]], ('FL DICED TOMATO', 0.9341408014297485)], [[[1135.0, 826.0], [1278.0, 826.0], [1278.0, 874.0], [1135.0, 874.0]], ('1.23B', 0.9750102162361145)], [[[454.0, 840.0], [576.0, 840.0], [576.0, 891.0], [454.0, 891.0]], ('20.67', 0.9615066647529602)], [[[622.0, 849.0], [953.0, 864.0], [951.0, 922.0], [619.0, 907.0]], ('FL DICED TOMATO', 0.9300916194915771)], [[[1135.0, 864.0], [1281.0, 864.0], [1281.0, 915.0], [1135.0, 915.0]], ('1.348', 0.8293653726577759)], [[[621.0, 894.0], [1115.0, 901.0], [1114.0, 959.0], [620.0, 952.0]], ('RED DELIC APPLES 3 MVP', 0.9197576642036438)], [[[450.0, 915.0], [514.0, 927.0], [504.0, 985.0], [440.0, 974.0]], ('SC', 0.8146082162857056)], [[[1135.0, 908.0], [1254.0, 908.0], [1254.0, 955.0], [1135.0, 955.0]], ('3.47', 0.9676329493522644)], [[[625.0, 941.0], [885.0, 956.0], [883.0, 1004.0], [623.0, 989.0]], ('MVP DISCOUNT', 0.9606934189796448)], [[[1183.0, 945.0], [1281.0, 945.0], [1281.0, 1000.0], [1183.0, 1000.0]], ('48-B', 0.8792208433151245)], [[[623.0, 981.0], [832.0, 1001.0], [827.0, 1049.0], [619.0, 1029.0]], ('MVP Price', 0.8941037058830261)], [[[1078.0, 989.0], [1179.0, 989.0], [1179.0, 1040.0], [1078.0, 1040.0]], ('2.99', 0.9947088360786438)], [[[467.0, 1012.0], [852.0, 1035.0], [848.0, 1092.0], [463.0, 1070.0]], ('2.431b.57/1b', 0.9241990447044373)], [[[624.0, 1071.0], [936.0, 1078.0], [934.0, 1136.0], [623.0, 1128.0]], ('YELLOW BANANAS', 0.9701918959617615)], [[[1142.0, 1074.0], [1288.0, 1074.0], [1288.0, 1125.0], [1142.0, 1125.0]], ('1.39B', 0.9365553855895996)], [[[503.0, 1111.0], [709.0, 1123.0], [706.0, 1170.0], [501.0, 1159.0]], ('2/3.00', 0.9871387481689453)], [[[627.0, 1166.0], [986.0, 1166.0], [986.0, 1210.0], [627.0, 1210.0]], ('RED PCKGD PEPPER', 0.9292740821838379)], [[[1149.0, 1159.0], [1291.0, 1159.0], [1291.0, 1210.0], [1149.0, 1210.0]], ('1.50B', 0.8738320469856262)], [[[623.0, 1207.0], [1030.0, 1203.0], [1030.0, 1251.0], [624.0, 1255.0]], ('HYDRO BOSTON LETTU', 0.9286487102508545)], [[[1149.0, 1204.0], [1295.0, 1204.0], [1295.0, 1251.0], [1149.0, 1251.0]], ('2.82B', 0.9786195755004883)], [[[623.0, 1251.0], [1125.0, 1248.0], [1125.0, 1295.0], [624.0, 1299.0]], ('GREEN LEAF LETTUCE MVP', 0.925923764705658)], [[[1142.0, 1248.0], [1295.0, 1248.0], [1295.0, 1295.0], [1142.0, 1295.0]], ('1.998', 0.8951821327209473)], [[[461.0, 1282.0], [512.0, 1282.0], [512.0, 1333.0], [461.0, 1333.0]], ('SC', 0.8699514865875244)], [[[1193.0, 1289.0], [1295.0, 1289.0], [1295.0, 1336.0], [1193.0, 1336.0]], ('70-8', 0.8942595720291138)], [[[627.0, 1299.0], [895.0, 1299.0], [895.0, 1343.0], [627.0, 1343.0]], ('MVP DISCOUNT', 0.9594802260398865)], [[[628.0, 1336.0], [844.0, 1344.0], [843.0, 1391.0], [626.0, 1383.0]], ('MVP Price', 0.9202096462249756)], [[[1095.0, 1336.0], [1190.0, 1336.0], [1190.0, 1380.0], [1095.0, 1380.0]], ('1.29', 0.9946056008338928)], [[[454.0, 1367.0], [583.0, 1367.0], [583.0, 1428.0], [454.0, 1428.0]], ('20.79', 0.9703317880630493)], [[[630.0, 1380.0], [925.0, 1380.0], [925.0, 1428.0], [630.0, 1428.0]], ('GREEN PEPPERS', 0.9647114276885986)], [[[1148.0, 1374.0], [1299.0, 1366.0], [1302.0, 1417.0], [1151.0, 1425.0]], ('1.588', 0.8867279291152954)], [[[630.0, 1425.0], [969.0, 1421.0], [969.0, 1469.0], [631.0, 1472.0]], ('CARROTS POLY2#', 0.9279068112373352)], [[[1155.0, 1419.0], [1299.0, 1410.0], [1302.0, 1461.0], [1158.0, 1470.0]], ('1.23B', 0.9135760068893433)], [[[630.0, 1469.0], [1023.0, 1462.0], [1024.0, 1509.0], [631.0, 1517.0]], ('YELLOW ONIONS 3LB', 0.915293276309967)], [[[1044.0, 1462.0], [1125.0, 1462.0], [1125.0, 1503.0], [1044.0, 1503.0]], ('MVP', 0.9945530891418457)], [[[1156.0, 1462.0], [1301.0, 1462.0], [1301.0, 1499.0], [1156.0, 1499.0]], ('1.978', 0.9693946838378906)], [[[461.0, 1506.0], [515.0, 1506.0], [515.0, 1554.0], [461.0, 1554.0]], ('SC', 0.9163236618041992)], [[[1203.0, 1499.0], [1305.0, 1499.0], [1305.0, 1547.0], [1203.0, 1547.0]], ('18-8', 0.9491169452667236)], [[[630.0, 1513.0], [901.0, 1513.0], [901.0, 1561.0], [630.0, 1561.0]], ('MVP DISCOUNT', 0.9445456862449646)], [[[1098.0, 1544.0], [1200.0, 1544.0], [1200.0, 1595.0], [1098.0, 1595.0]], ('1.79', 0.9956870079040527)], [[[634.0, 1561.0], [844.0, 1561.0], [844.0, 1608.0], [634.0, 1608.0]], ('MVP Price', 0.9400269985198975)], [[[1156.0, 1588.0], [1305.0, 1588.0], [1305.0, 1639.0], [1156.0, 1639.0]], ('3.99 T', 0.9123000502586365)], [[[630.0, 1602.0], [1037.0, 1594.0], [1037.0, 1642.0], [631.0, 1649.0]], ('H360 AUT0 DISH LMN', 0.8921270370483398)], [[[1142.0, 1632.0], [1264.0, 1632.0], [1264.0, 1683.0], [1142.0, 1683.0]], ('21.76', 0.996496856212616)], [[[468.0, 1642.0], [993.0, 1642.0], [993.0, 1690.0], [468.0, 1690.0]], ('FSVSXXXXXXXXXXXX1207', 0.8702384233474731)], [[[1206.0, 1673.0], [1267.0, 1673.0], [1267.0, 1731.0], [1206.0, 1731.0]], ('34', 0.9544783234596252)], [[[508.0, 1690.0], [888.0, 1690.0], [888.0, 1734.0], [508.0, 1734.0]], ('x2%FO0D TAX', 0.819032609462738)], [[[1206.0, 1724.0], [1264.0, 1724.0], [1264.0, 1771.0], [1206.0, 1771.0]], ('27', 0.9987035989761353)], [[[505.0, 1734.0], [1020.0, 1727.0], [1020.0, 1775.0], [505.0, 1782.0]], ('6.75%NONF00D TAX', 0.8923518061637878)], [[[1145.0, 1765.0], [1267.0, 1765.0], [1267.0, 1816.0], [1145.0, 1816.0]], ('21.76', 0.996051013469696)], [[[529.0, 1778.0], [888.0, 1778.0], [888.0, 1822.0], [529.0, 1822.0]], (' BALANCE DUE', 0.9333468079566956)], [[[593.0, 1822.0], [851.0, 1822.0], [851.0, 1870.0], [593.0, 1870.0]], ('REF#06014D', 0.9400246739387512)], [[[1210.0, 1856.0], [1267.0, 1856.0], [1267.0, 1901.0], [1210.0, 1901.0]], ('00', 0.9807507991790771)], [[[644.0, 1873.0], [783.0, 1873.0], [783.0, 1911.0], [644.0, 1911.0]], ('CHANGE', 0.9980236887931824)], [[[637.0, 1911.0], [1141.0, 1897.0], [1143.0, 1948.0], [638.0, 1962.0]], ('COUPONS TENDERED1.36', 0.9796320199966431)], [[[464.0, 1959.0], [945.0, 1955.0], [946.0, 2002.0], [464.0, 2006.0]], ('Total Items Purchased', 0.9695666432380676)], [[[1128.0, 1952.0], [1183.0, 1952.0], [1183.0, 1992.0], [1128.0, 1992.0]], ('13', 0.9993845820426941)], [[[484.0, 2006.0], [1165.0, 1989.0], [1166.0, 2036.0], [485.0, 2054.0]], ('1/05/13 16:512534 21 0106 217', 0.9286016225814819)], [[[705.0, 2091.0], [1081.0, 2084.0], [1081.0, 2132.0], [705.0, 2139.0]], ('www.foodlion.com', 0.9802032709121704)], [[[528.0, 2139.0], [1239.0, 2118.0], [1241.0, 2172.0], [530.0, 2194.0]], ('CUSTOMER SERVICE 1-800-210-9569', 0.9586088061332703)], [[[596.0, 2231.0], [1199.0, 2213.0], [1200.0, 2261.0], [597.0, 2278.0]], ('MVP CUST0MER46137443720', 0.9517296552658081)], [[[558.0, 2279.0], [1215.0, 2254.0], [1217.0, 2308.0], [560.0, 2333.0]], ('YOU ARE A VALUED MVP CUSTOMER', 0.9512292742729187)], [[[476.0, 2388.0], [1298.0, 2345.0], [1303.0, 2426.0], [481.0, 2470.0]], ('You saved$1.36 using your MVP Card!', 0.9567442536354065)], [[[599.0, 2503.0], [1167.0, 2474.0], [1170.0, 2532.0], [602.0, 2561.0]], ('PLEASE KEEP YOUR RECEIPT,', 0.9451438188552856)], [[[582.0, 2561.0], [1180.0, 2522.0], [1184.0, 2573.0], [585.0, 2612.0]], ('IT IS REQUIRED FOR REFUNDS', 0.9591940641403198)], [[[483.0, 2806.0], [1105.0, 2756.0], [1110.0, 2814.0], [488.0, 2864.0]], ('Year to Date Savings 1.36', 0.9445096850395203)]]
{"store_name": "FOODLION", "store_addr": "", "telephone": "(919)562-8912", "date": "1/05/13", "time": "16:51", "subtotal": "", "tax": ".34 .27", "total": "21.76", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "FLDICEDTOMATO", "item_value": "1.23", "item_quantity": "1"}, {"item_key": "", "item_name": "FLDICEDTOMATO", "item_value": "1.34", "item_quantity": "1"}, {"item_key": "", "item_name": "REDDELICAPPLES3MVP", "item_value": "3.47", "item_quantity": "1"}, {"item_key": "", "item_name": "YELLOWBANANAS", "item_value": "1.39", "item_quantity": "1"}, {"item_key": "", "item_name": "REDPCKGDPEPPER", "item_value": "1.50", "item_quantity": "1"}, {"item_key": "", "item_name": "HYDROBOSTONLETTU", "item_value": "2.82", "item_quantity": "1"}, {"item_key": "", "item_name": "GREENLEAFLETTUCEMVP", "item_value": "1.99", "item_quantity": "1"}, {"item_key": "", "item_name": "GREENPEPPERS", "item_value": "1.58", "item_quantity": "1"}, {"item_key": "", "item_name": "CARROISPOLY2#", "item_value": "1.23", "item_quantity": "1"}, {"item_key": "", "item_name": "YELLOWONIONS3LBMVP", "item_value": "1.97", "item_quantity": "1"}, {"item_key": "", "item_name": "H360AUTODISHLMN", "item_value": "3.99", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[41.0, 57.0], [130.0, 63.0], [128.0, 88.0], [39.0, 82.0]], ('Tb181/1', 0.9754400849342346)], [[[215.0, 68.0], [303.0, 70.0], [303.0, 91.0], [214.0, 89.0]], ('Chk 1728', 0.9439030289649963)], [[[409.0, 71.0], [452.0, 71.0], [452.0, 94.0], [409.0, 94.0]], ('Gst', 0.9875594973564148)], [[[170.0, 92.0], [346.0, 96.0], [345.0, 117.0], [170.0, 113.0]], ('May2115 02:44PM', 0.9467475414276123)], [[[76.0, 135.0], [235.0, 141.0], [234.0, 165.0], [75.0, 158.0]], ('Dine In', 0.9324760437011719)], [[[51.0, 161.0], [212.0, 169.0], [211.0, 189.0], [50.0, 181.0]], ('3 Cajun Burger', 0.9261377453804016)], [[[391.0, 170.0], [454.0, 170.0], [454.0, 195.0], [391.0, 195.0]], ('36.00', 0.9959190487861633)], [[[50.0, 187.0], [212.0, 191.0], [211.0, 214.0], [49.0, 209.0]], ('1 Thin Catfish', 0.9529977440834045)], [[[394.0, 193.0], [456.0, 196.0], [454.0, 222.0], [393.0, 219.0]], ('14.00', 0.9964927434921265)], [[[68.0, 211.0], [153.0, 216.0], [152.0, 241.0], [67.0, 236.0]], ('Platter', 0.9963926076889038)], [[[89.0, 240.0], [257.0, 245.0], [256.0, 269.0], [89.0, 264.0]], ('Sub Caesar Sld', 0.9146647453308105)], [[[406.0, 248.0], [459.0, 248.0], [459.0, 275.0], [406.0, 275.0]], ('2.00', 0.9980541467666626)], [[[63.0, 271.0], [81.0, 271.0], [81.0, 292.0], [63.0, 292.0]], ('N', 0.9907763600349426)], [[[62.0, 295.0], [126.0, 298.0], [125.0, 325.0], [61.0, 322.0]], ('100%', 0.9260625243186951)], [[[56.0, 324.0], [145.0, 328.0], [143.0, 356.0], [55.0, 352.0]], ('Dislike', 0.9964159727096558)], [[[401.0, 333.0], [470.0, 336.0], [469.0, 364.0], [400.0, 361.0]], ('16.00', 0.9951680898666382)], [[[31.0, 356.0], [204.0, 361.0], [203.0, 385.0], [30.0, 380.0]], ('1 French Fries', 0.9421259760856628)], [[[414.0, 364.0], [468.0, 367.0], [467.0, 395.0], [412.0, 392.0]], ('3.00', 0.9961312413215637)], [[[26.0, 385.0], [180.0, 389.0], [179.0, 416.0], [25.0, 412.0]], ('1 Side Salad', 0.9457626938819885)], [[[415.0, 394.0], [471.0, 394.0], [471.0, 425.0], [415.0, 425.0]], ('5.00', 0.9901307821273804)], [[[42.0, 448.0], [100.0, 451.0], [99.0, 482.0], [40.0, 479.0]], ('Food', 0.9986041188240051)], [[[407.0, 460.0], [473.0, 460.0], [473.0, 489.0], [407.0, 489.0]], ('60.00', 0.9963814616203308)], [[[39.0, 483.0], [160.0, 488.0], [159.0, 516.0], [38.0, 511.0]], ('Discounts', 0.9958773851394653)], [[[410.0, 493.0], [473.0, 493.0], [473.0, 523.0], [410.0, 523.0]], ('16.00', 0.9971746206283569)], [[[35.0, 517.0], [81.0, 520.0], [79.0, 552.0], [33.0, 549.0]], ('Tax', 0.9960091710090637)], [[[423.0, 527.0], [473.0, 530.0], [473.0, 561.0], [421.0, 558.0]], ('4.29', 0.9444853067398071)], [[[31.0, 552.0], [103.0, 555.0], [102.0, 587.0], [30.0, 585.0]], ('Total', 0.988979697227478)], [[[345.0, 561.0], [473.0, 563.0], [473.0, 595.0], [344.0, 593.0]], ('48.29', 0.9951578378677368)]]
{"store_name": "", "store_addr": "", "telephone": "", "date": "May21'15", "time": "02:44PM", "subtotal": "60.00", "tax": "", "total": "48.29", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "CajunBurger", "item_value": "5.00", "item_quantity": "1"}, {"item_key": "", "item_name": "ThinCatfish", "item_value": "3.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Platter", "item_value": "2.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SubCaesarSld", "item_value": "14.00", "item_quantity": "1"}, {"item_key": "", "item_name": "FrenchFries", "item_value": "36.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SideSalad", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[339.0, 16.0], [360.0, 16.0], [360.0, 33.0], [339.0, 33.0]], ('3', 0.7028300762176514)], [[[315.0, 34.0], [396.0, 34.0], [396.0, 47.0], [315.0, 47.0]], ('-Nando\'s"', 0.8288445472717285)], [[[53.0, 63.0], [129.0, 63.0], [129.0, 81.0], [53.0, 81.0]], ('We Prefer', 0.9631579518318176)], [[[296.0, 61.0], [407.0, 64.0], [407.0, 75.0], [296.0, 72.0]], ('Sanc Chicketla Melayts', 0.5147765874862671)], [[[311.0, 70.0], [393.0, 72.0], [393.0, 82.0], [311.0, 80.0]], ('S451564', 0.7194705009460449)], [[[42.0, 81.0], [131.0, 81.0], [131.0, 98.0], [42.0, 98.0]], ('MasterCard', 0.9884636998176575)], [[[305.0, 93.0], [406.0, 95.0], [406.0, 106.0], [305.0, 104.0]], ('100Perssran Bevan noth', 0.7600297927856445)], [[[310.0, 86.0], [394.0, 88.0], [394.0, 98.0], [310.0, 96.0]], ('-G', 0.6411287784576416)], [[[288.0, 108.0], [423.0, 111.0], [423.0, 124.0], [288.0, 121.0]], ('T1604-64655604-646365', 0.7078415155410767)], [[[304.0, 100.0], [404.0, 103.0], [404.0, 116.0], [304.0, 113.0]], ('1000 Bayar ecsPanang', 0.7065291404724121)], [[[271.0, 127.0], [315.0, 127.0], [315.0, 137.0], [271.0, 137.0]], ('2.COUNTER', 0.8842222094535828)], [[[308.0, 119.0], [394.0, 120.0], [394.0, 131.0], [308.0, 130.0]], ('DST10000097482992', 0.8559299111366272)], [[[393.0, 127.0], [437.0, 129.0], [437.0, 140.0], [393.0, 138.0]], ('ZMI', 0.6209304928779602)], [[[271.0, 144.0], [311.0, 144.0], [311.0, 155.0], [271.0, 155.0]], ('.4849', 0.8591775894165039)], [[[271.0, 153.0], [350.0, 154.0], [350.0, 165.0], [271.0, 164.0]], ('18Jun15 19:3333', 0.8863040804862976)], [[[400.0, 156.0], [439.0, 156.0], [439.0, 167.0], [400.0, 167.0]], ('18L1671', 0.7092090845108032)], [[[405.0, 147.0], [439.0, 147.0], [439.0, 157.0], [405.0, 157.0]], ('fmst)', 0.5648833513259888)], [[[288.0, 173.0], [349.0, 173.0], [349.0, 184.0], [288.0, 184.0]], ('1/2Chic+1S0-E', 0.8303676843643188)], [[[290.0, 183.0], [319.0, 183.0], [319.0, 193.0], [290.0, 193.0]], ('1/2-M', 0.878058135509491)], [[[400.0, 174.0], [435.0, 174.0], [435.0, 185.0], [400.0, 185.0]], ('24.00.5', 0.797484278678894)], [[[284.0, 200.0], [334.0, 202.0], [334.0, 216.0], [284.0, 214.0]], ('Coke 6-E', 0.772415280342102)], [[[289.0, 192.0], [363.0, 192.0], [363.0, 203.0], [289.0, 203.0]], ('PerdgesR)-EC', 0.8680112361907959)], [[[404.0, 199.0], [439.0, 201.0], [438.0, 215.0], [403.0, 213.0]], ('5,90.5', 0.7013676762580872)], [[[285.0, 212.0], [307.0, 212.0], [307.0, 223.0], [285.0, 223.0]], ('CASH', 0.9964596033096313)], [[[403.0, 210.0], [431.0, 212.0], [430.0, 224.0], [402.0, 222.0]], ('50.00', 0.9852094650268555)], [[[281.0, 233.0], [327.0, 233.0], [327.0, 244.0], [281.0, 244.0]], ('Sub Total', 0.8074069619178772)], [[[406.0, 232.0], [432.0, 232.0], [432.0, 243.0], [406.0, 243.0]], ('30.80', 0.9898229837417603)], [[[280.0, 243.0], [348.0, 243.0], [348.0, 254.0], [280.0, 254.0]], ('Serv Chro 10%', 0.817076563835144)], [[[408.0, 241.0], [434.0, 243.0], [433.0, 255.0], [407.0, 253.0]], ('3.08', 0.8831741213798523)], [[[280.0, 254.0], [316.0, 254.0], [316.0, 265.0], [280.0, 265.0]], ('9S9', 0.8090715408325195)], [[[410.0, 253.0], [434.0, 253.0], [434.0, 265.0], [410.0, 265.0]], ('2.02', 0.930469274520874)], [[[280.0, 265.0], [312.0, 265.0], [312.0, 276.0], [280.0, 276.0]], ('Total:', 0.8314674496650696)], [[[408.0, 264.0], [436.0, 264.0], [436.0, 275.0], [408.0, 275.0]], ('35.90', 0.9650977849960327)], [[[279.0, 276.0], [317.0, 276.0], [317.0, 287.0], [279.0, 287.0]], ('Paysent', 0.9197457432746887)], [[[408.0, 273.0], [438.0, 273.0], [438.0, 287.0], [408.0, 287.0]], ('50.00', 0.9902533292770386)], [[[279.0, 287.0], [330.0, 287.0], [330.0, 298.0], [279.0, 298.0]], ('Change Due', 0.930160641670227)], [[[411.0, 285.0], [437.0, 285.0], [437.0, 297.0], [411.0, 297.0]], ('14.10', 0.9917923212051392)], [[[285.0, 297.0], [435.0, 297.0], [435.0, 310.0], [285.0, 310.0]], ('104 CLOSED 18Jun15 20:16:53', 0.8404288291931152)], [[[292.0, 309.0], [424.0, 309.0], [424.0, 322.0], [292.0, 322.0]], ('For Take Auay and Dal ivery', 0.8616860508918762)], [[[274.0, 321.0], [451.0, 321.0], [451.0, 334.0], [274.0, 334.0]], ('food is best consumed ithin 2 hours', 0.8827051520347595)], [[[296.0, 344.0], [428.0, 344.0], [428.0, 357.0], [296.0, 357.0]], ('Let us serve you better by', 0.9274582266807556)], [[[293.0, 357.0], [431.0, 357.0], [431.0, 370.0], [293.0, 370.0]], ('filling in online survey on', 0.8763992190361023)], [[[281.0, 370.0], [441.0, 369.0], [441.0, 382.0], [281.0, 383.0]], ('www.nandos.con.ny/guestfeedback', 0.885829746723175)], [[[291.0, 397.0], [443.0, 397.0], [443.0, 410.0], [291.0, 410.0]], ('eailperi-peri@nandos.com.my', 0.8375862836837769)], [[[495.0, 421.0], [609.0, 421.0], [609.0, 438.0], [495.0, 438.0]], ('18.062015', 0.9794692993164062)], [[[275.0, 437.0], [441.0, 435.0], [441.0, 449.0], [275.0, 451.0]], ('GSTSumaryAnount(RM GSTRM)', 0.8468434810638428)], [[[276.0, 453.0], [338.0, 453.0], [338.0, 464.0], [276.0, 464.0]], ('91S9-S', 0.7277911305427551)], [[[335.0, 451.0], [369.0, 451.0], [369.0, 465.0], [335.0, 465.0]], ('33.88', 0.9164700508117676)], [[[400.0, 449.0], [429.0, 449.0], [429.0, 464.0], [400.0, 464.0]], ('2.02', 0.9911571741104126)], [[[274.0, 465.0], [366.0, 465.0], [366.0, 479.0], [274.0, 479.0]], ('Z=GST0X0.00', 0.8708624243736267)], [[[401.0, 463.0], [429.0, 463.0], [429.0, 478.0], [401.0, 478.0]], ('0.00', 0.9828532934188843)]]
{"store_name": "Nando's", "store_addr": "", "telephone": "", "date": "18Jun15 18Jun15", "time": "19:33:33 20:16:53", "subtotal": "30.80", "tax": "2.02 2.02", "total": "35.90", "ignore": " ", "tips": "3.06", "line_items": [{"item_key": "", "item_name": "1/2-M", "item_value": "24.00$", "item_quantity": "1"}, {"item_key": "", "item_name": "CokeGIg-E", "item_value": "5.90$", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[314.0, 163.0], [448.0, 173.0], [446.0, 192.0], [313.0, 182.0]], ('Greenville Ave', 0.9323314428329468)], [[[320.0, 182.0], [443.0, 192.0], [441.0, 211.0], [318.0, 201.0]], ('Dallas,Texas', 0.9293539524078369)], [[[225.0, 212.0], [336.0, 220.0], [335.0, 241.0], [223.0, 233.0]], ('Server:Pony', 0.9584131836891174)], [[[223.0, 233.0], [317.0, 240.0], [315.0, 259.0], [221.0, 252.0]], ('Table 13/1', 0.9479972720146179)], [[[436.0, 227.0], [533.0, 223.0], [534.0, 244.0], [438.0, 249.0]], ('07/05/2015', 0.9972545504570007)], [[[219.0, 253.0], [307.0, 259.0], [306.0, 277.0], [218.0, 271.0]], ('Guests:2', 0.9472160339355469)], [[[463.0, 247.0], [534.0, 241.0], [536.0, 263.0], [465.0, 269.0]], ('3:01PM', 0.9543747305870056)], [[[216.0, 273.0], [346.0, 281.0], [344.0, 301.0], [215.0, 293.0]], ('Order Type:', 0.9234933853149414)], [[[482.0, 267.0], [533.0, 262.0], [535.0, 282.0], [484.0, 287.0]], ('30017', 0.9993449449539185)], [[[336.0, 280.0], [389.0, 283.0], [388.0, 301.0], [335.0, 299.0]], ('ORDER', 0.9943382143974304)], [[[211.0, 313.0], [366.0, 321.0], [365.0, 342.0], [209.0, 334.0]], ('Mimosa 3 @2.00', 0.9399382472038269)], [[[489.0, 325.0], [535.0, 320.0], [538.0, 343.0], [492.0, 348.0]], ('6.00', 0.9947358965873718)], [[[209.0, 335.0], [307.0, 341.0], [306.0, 360.0], [207.0, 354.0]], ('Grey Goose', 0.9601278305053711)], [[[222.0, 355.0], [335.0, 363.0], [333.0, 384.0], [220.0, 376.0]], ('Bloody Mary', 0.933694064617157)], [[[482.0, 347.0], [535.0, 341.0], [538.0, 364.0], [484.0, 369.0]], ('10.00', 0.9972797632217407)], [[[201.0, 377.0], [304.0, 383.0], [303.0, 401.0], [200.0, 396.0]], ('Break Sand', 0.9577115178108215)], [[[482.0, 389.0], [537.0, 385.0], [539.0, 408.0], [484.0, 412.0]], ('14.00', 0.9963850975036621)], [[[218.0, 399.0], [332.0, 405.0], [331.0, 425.0], [217.0, 419.0]], ('Over Medium', 0.9644294381141663)], [[[214.0, 420.0], [269.0, 424.0], [267.0, 446.0], [213.0, 442.0]], ('Bacon', 0.9976416826248169)], [[[191.0, 441.0], [316.0, 448.0], [314.0, 470.0], [189.0, 463.0]], ('French Toast', 0.9663203358650208)], [[[186.0, 465.0], [244.0, 470.0], [241.0, 492.0], [184.0, 487.0]], ('Bacon', 0.9966672658920288)], [[[482.0, 457.0], [538.0, 454.0], [539.0, 477.0], [483.0, 479.0]], ('12.00', 0.9949188232421875)], [[[489.0, 482.0], [538.0, 479.0], [539.0, 503.0], [490.0, 506.0]], ('5.00', 0.9973028898239136)], [[[179.0, 512.0], [266.0, 518.0], [264.0, 541.0], [177.0, 535.0]], ('Subtotal', 0.9951149225234985)], [[[482.0, 529.0], [541.0, 529.0], [541.0, 555.0], [482.0, 555.0]], ('47.00', 0.9941641092300415)], [[[170.0, 561.0], [274.0, 569.0], [272.0, 593.0], [168.0, 585.0]], ('Sales Tax', 0.9373260140419006)], [[[166.0, 588.0], [303.0, 598.0], [301.0, 620.0], [165.0, 610.0]], ('MB Sales Tax', 0.9332733154296875)], [[[491.0, 582.0], [541.0, 582.0], [541.0, 606.0], [491.0, 606.0]], ('2.56', 0.9971336722373962)], [[[491.0, 607.0], [542.0, 607.0], [542.0, 634.0], [491.0, 634.0]], ('1.32', 0.9944556355476379)], [[[157.0, 640.0], [218.0, 644.0], [216.0, 672.0], [155.0, 668.0]], ('Total', 0.991341233253479)], [[[479.0, 664.0], [543.0, 664.0], [543.0, 691.0], [479.0, 691.0]], ('50.88', 0.9939872622489929)], [[[147.0, 699.0], [280.0, 709.0], [278.0, 735.0], [145.0, 726.0]], ('Balance Due', 0.9480979442596436)], [[[478.0, 720.0], [546.0, 723.0], [545.0, 753.0], [477.0, 751.0]], ('50.88', 0.992222785949707)], [[[285.0, 770.0], [397.0, 780.0], [394.0, 809.0], [283.0, 799.0]], ('Thank you', 0.9671155214309692)], [[[219.0, 799.0], [442.0, 815.0], [440.0, 844.0], [217.0, 829.0]], ('Have a great day!', 0.9539238214492798)], [[[168.0, 832.0], [493.0, 856.0], [491.0, 881.0], [166.0, 857.0]], ('Come back and see us soon.', 0.9290093183517456)]]
{"store_name": "", "store_addr": "GreenvilleAve. Dallas,Texas", "telephone": "", "date": "07/05/2015", "time": "3:01PM", "subtotal": "47.00", "tax": "2.56 1.32", "total": "50.88", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "Mimosa", "item_value": "6.00", "item_quantity": "1"}, {"item_key": "", "item_name": "GreyGoose", "item_value": "10.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BloodyMary", "item_value": "14.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BreakSand", "item_value": "12.00", "item_quantity": "1"}, {"item_key": "", "item_name": "OverMedium", "item_value": "5.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Bacon", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "FrenchToast", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "Bacon", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[153.0, 41.0], [357.0, 44.0], [357.0, 58.0], [153.0, 55.0]], ('TAQUERIA GUADALAJARA', 0.9780644178390503)], [[[173.0, 55.0], [328.0, 57.0], [327.0, 71.0], [172.0, 68.0]], ('4798 MISSI0N ST', 0.8877751231193542)], [[[131.0, 68.0], [369.0, 74.0], [368.0, 87.0], [130.0, 82.0]], ('SAN FRANCISC0CA94112', 0.9320653676986694)], [[[130.0, 98.0], [235.0, 101.0], [235.0, 115.0], [129.0, 112.0]], ('08/21/2016', 0.9914064407348633)], [[[297.0, 103.0], [379.0, 104.0], [379.0, 118.0], [297.0, 117.0]], ('18:3823', 0.9747759699821472)], [[[129.0, 114.0], [173.0, 116.0], [172.0, 130.0], [128.0, 128.0]], ('MIDI', 0.8511723279953003)], [[[223.0, 115.0], [380.0, 118.0], [380.0, 135.0], [223.0, 132.0]], ('000000001916492', 0.9968634843826294)], [[[130.0, 132.0], [173.0, 132.0], [173.0, 146.0], [130.0, 146.0]], ('TIDI', 0.9061166048049927)], [[[297.0, 136.0], [379.0, 136.0], [379.0, 149.0], [297.0, 149.0]], ('06398061', 0.9961491823196411)], [[[129.0, 146.0], [255.0, 148.0], [255.0, 165.0], [129.0, 163.0]], ('313182150885', 0.9938331246376038)], [[[192.0, 179.0], [309.0, 183.0], [309.0, 200.0], [192.0, 196.0]], ('CREDIT CARD', 0.9684556722640991)], [[[201.0, 198.0], [299.0, 201.0], [299.0, 224.0], [201.0, 222.0]], ('VISA SALE', 0.93288254737854)], [[[129.0, 247.0], [182.0, 247.0], [182.0, 261.0], [129.0, 261.0]], ('CARD:', 0.9593822360038757)], [[[129.0, 264.0], [202.0, 264.0], [202.0, 278.0], [129.0, 278.0]], ('INUOICE', 0.9738700985908508)], [[[341.0, 265.0], [384.0, 265.0], [384.0, 280.0], [341.0, 280.0]], ('0026', 0.9956198930740356)], [[[128.0, 281.0], [211.0, 281.0], [211.0, 295.0], [128.0, 295.0]], ('Batch#:', 0.91145259141922)], [[[321.0, 282.0], [384.0, 282.0], [384.0, 296.0], [321.0, 296.0]], ('001362', 0.9963749051094055)], [[[126.0, 298.0], [222.0, 298.0], [222.0, 311.0], [126.0, 311.0]], ('APp Code:', 0.8585755228996277)], [[[322.0, 298.0], [385.0, 298.0], [385.0, 312.0], [322.0, 312.0]], ('047260', 0.9699195027351379)], [[[123.0, 311.0], [245.0, 312.0], [245.0, 329.0], [123.0, 328.0]], ('Entry Mode:', 0.9583068490028381)], [[[323.0, 314.0], [388.0, 314.0], [388.0, 328.0], [323.0, 328.0]], ('Swiped', 0.9391031265258789)], [[[122.0, 329.0], [180.0, 329.0], [180.0, 345.0], [122.0, 345.0]], ('Model', 0.8606680631637573)], [[[321.0, 326.0], [389.0, 329.0], [388.0, 347.0], [320.0, 344.0]], ('Online', 0.9721315503120422)], [[[123.0, 367.0], [266.0, 367.0], [266.0, 388.0], [123.0, 388.0]], ('MOSE/SERUICES', 0.9540014266967773)], [[[334.0, 365.0], [392.0, 365.0], [392.0, 391.0], [334.0, 391.0]], ('$9.45', 0.9917186498641968)], [[[119.0, 400.0], [156.0, 400.0], [156.0, 428.0], [119.0, 428.0]], ('TIP', 0.9966601729393005)], [[[118.0, 437.0], [177.0, 437.0], [177.0, 467.0], [118.0, 467.0]], ('TOTAL', 0.9985679388046265)], [[[174.0, 514.0], [327.0, 512.0], [328.0, 529.0], [175.0, 531.0]], ('CUSTOMER COPY', 0.9680390954017639)]]
{"store_name": "TAQUERIAGUADALAJARA", "store_addr": "SANFRANCISCO,CA94112 4798MISSIONST", "telephone": "", "date": "08/21/2016", "time": "18:38:23", "subtotal": "", "tax": "", "total": "", "ignore": "", "tips": "", "line_items": []}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[26.0, 26.0], [135.0, 26.0], [135.0, 39.0], [26.0, 39.0]], ('12/17/20165:09PM', 0.9687085151672363)], [[[174.0, 27.0], [298.0, 28.0], [298.0, 42.0], [174.0, 41.0]], ('Sales Receipt #19204', 0.9440501928329468)], [[[25.0, 40.0], [89.0, 40.0], [89.0, 54.0], [25.0, 54.0]], ('Store:CRP', 0.9433670043945312)], [[[221.0, 43.0], [299.0, 43.0], [299.0, 55.0], [221.0, 55.0]], ('Workstation1', 0.9628562331199646)], [[[24.0, 59.0], [133.0, 61.0], [133.0, 86.0], [24.0, 84.0]], ('FIREARMS', 0.9949122667312622)], [[[193.0, 62.0], [292.0, 62.0], [292.0, 86.0], [193.0, 86.0]], ('INKNOWN', 0.961765468120575)], [[[99.0, 93.0], [228.0, 95.0], [228.0, 109.0], [98.0, 107.0]], ('Firearms Unknown', 0.9814112782478333)], [[[84.0, 109.0], [239.0, 110.0], [239.0, 124.0], [83.0, 123.0]], ('416 National City Blvd.Unit B', 0.9241471886634827)], [[[100.0, 125.0], [227.0, 125.0], [227.0, 138.0], [100.0, 138.0]], ('National City CA 91950', 0.9282680749893188)], [[[122.0, 139.0], [207.0, 139.0], [207.0, 152.0], [122.0, 152.0]], ('(619)507-3174', 0.9236876964569092)], [[[75.0, 152.0], [251.0, 153.0], [251.0, 166.0], [75.0, 165.0]], ('Returns Accepted Within 14 Days', 0.9482192397117615)], [[[86.0, 167.0], [243.0, 167.0], [243.0, 180.0], [86.0, 180.0]], ('Store Credit Only.No Refunds', 0.9292330741882324)], [[[24.0, 180.0], [112.0, 181.0], [112.0, 195.0], [24.0, 194.0]], ('Cashier Grover', 0.9579762816429138)], [[[24.0, 202.0], [89.0, 204.0], [88.0, 218.0], [24.0, 216.0]], ('Item Name', 0.8922940492630005)], [[[156.0, 205.0], [176.0, 205.0], [176.0, 217.0], [156.0, 217.0]], ('Qty', 0.9536940455436707)], [[[194.0, 203.0], [285.0, 203.0], [285.0, 217.0], [194.0, 217.0]], ('Price Ext Price', 0.932842493057251)], [[[25.0, 218.0], [133.0, 218.0], [133.0, 231.0], [25.0, 231.0]], ('ACE Skeleton Stock', 0.9553903937339783)], [[[168.0, 217.0], [226.0, 217.0], [226.0, 231.0], [168.0, 231.0]], ('1$99.99', 0.9885087013244629)], [[[247.0, 217.0], [300.0, 217.0], [300.0, 231.0], [247.0, 231.0]], ('N6666S', 0.9326114654541016)], [[[30.0, 232.0], [63.0, 232.0], [63.0, 245.0], [30.0, 245.0]], ('Black', 0.9953247904777527)], [[[99.0, 233.0], [124.0, 233.0], [124.0, 244.0], [99.0, 244.0]], ('Rifle', 0.9732352495193481)], [[[171.0, 233.0], [237.0, 233.0], [237.0, 243.0], [171.0, 243.0]], ('D%20.01%', 0.9920445680618286)], [[[190.0, 246.0], [239.0, 246.0], [239.0, 260.0], [190.0, 260.0]], ('Subtotal', 0.9453742504119873)], [[[262.0, 246.0], [302.0, 246.0], [302.0, 260.0], [262.0, 260.0]], ('$99.99', 0.9935186505317688)], [[[58.0, 261.0], [142.0, 260.0], [142.0, 274.0], [58.0, 275.0]], ('Got Theft AKA', 0.9305571913719177)], [[[192.0, 261.0], [239.0, 261.0], [239.0, 274.0], [192.0, 274.0]], ('9%Tax', 0.9756431579589844)], [[[259.0, 261.0], [302.0, 261.0], [302.0, 274.0], [259.0, 274.0]], ('+$9.00', 0.9881548285484314)], [[[154.0, 276.0], [241.0, 276.0], [241.0, 289.0], [154.0, 289.0]], ('ECEIPT TOTAL:', 0.8976557850837708)], [[[257.0, 277.0], [302.0, 277.0], [302.0, 288.0], [257.0, 288.0]], ('$108.99', 0.9969253540039062)], [[[84.0, 300.0], [161.0, 300.0], [161.0, 313.0], [84.0, 313.0]], ('Cash:S108.99', 0.9241800308227539)], [[[119.0, 326.0], [233.0, 326.0], [233.0, 339.0], [119.0, 339.0]], ('Total Sales Discounts', 0.9545244574546814)], [[[264.0, 326.0], [303.0, 326.0], [303.0, 340.0], [264.0, 340.0]], ('$25.01', 0.9889267086982727)], [[[91.0, 383.0], [240.0, 383.0], [240.0, 396.0], [91.0, 396.0]], ('Thanks for shopping with us!', 0.951098620891571)], [[[148.0, 435.0], [183.0, 435.0], [183.0, 449.0], [148.0, 449.0]], ('19204', 0.9990574717521667)]]
{"store_name": "FIREARMS UNKNOWN FirearmsUnknown", "store_addr": "416NationalCityBlvd.UnitB NationalCity.CA91950", "telephone": "(619)507-3174", "date": "12/17/2016", "time": "5:09PM", "subtotal": "$99.99", "tax": "+$9.00", "total": "$108.99", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "ACESkeletonStock", "item_value": "$99.99", "item_quantity": "1"}, {"item_key": "ItemName", "item_name": "", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[50.0, 81.0], [206.0, 78.0], [207.0, 90.0], [51.0, 93.0]], ('SHIMA RESTAURANT', 0.9769824743270874)], [[[88.0, 90.0], [166.0, 90.0], [166.0, 103.0], [88.0, 103.0]], ('22Scotts Road', 0.9489546418190002)], [[[88.0, 110.0], [164.0, 110.0], [164.0, 123.0], [88.0, 123.0]], ('Te6734 6281', 0.9131353497505188)], [[[70.0, 120.0], [183.0, 120.0], [183.0, 133.0], [70.0, 133.0]], ('GSTREGNO201226776', 0.9641094207763672)], [[[33.0, 139.0], [121.0, 139.0], [121.0, 152.0], [33.0, 152.0]], ('06/09/2015 13:33', 0.9511038064956665)], [[[35.0, 149.0], [123.0, 150.0], [122.0, 163.0], [35.0, 162.0]], ('Oty Descripttons', 0.8635486364364624)], [[[149.0, 140.0], [225.0, 140.0], [225.0, 152.0], [149.0, 152.0]], ('A015076', 0.9670034646987915)], [[[192.0, 151.0], [227.0, 151.0], [227.0, 162.0], [192.0, 162.0]], ('Asount', 0.9343412518501282)], [[[42.0, 170.0], [168.0, 170.0], [168.0, 183.0], [42.0, 183.0]], ('2AdultTeppanyak1 Bu', 0.8694579601287842)], [[[193.0, 170.0], [231.0, 170.0], [231.0, 184.0], [193.0, 184.0]], ('119.80', 0.9871659874916077)], [[[42.0, 182.0], [140.0, 182.0], [140.0, 196.0], [42.0, 196.0]], ('1 Green Tea Hot', 0.8641907572746277)], [[[203.0, 182.0], [232.0, 182.0], [232.0, 196.0], [203.0, 196.0]], ('4.00', 0.9733765125274658)], [[[40.0, 192.0], [139.0, 193.0], [139.0, 207.0], [39.0, 206.0]], ('1 Green Tea ICE)', 0.891912579536438)], [[[205.0, 194.0], [234.0, 194.0], [234.0, 208.0], [205.0, 208.0]], ('4.00', 0.9932349920272827)], [[[48.0, 218.0], [95.0, 218.0], [95.0, 232.0], [48.0, 232.0]], ('STTL', 0.9943829774856567)], [[[163.0, 219.0], [235.0, 219.0], [235.0, 233.0], [163.0, 233.0]], ('127.80', 0.9969987273216248)], [[[46.0, 232.0], [115.0, 230.0], [116.0, 245.0], [47.0, 247.0]], ('10XSVC CHG', 0.8923889398574829)], [[[203.0, 232.0], [237.0, 232.0], [237.0, 247.0], [203.0, 247.0]], ('12.78', 0.9909342527389526)], [[[45.0, 246.0], [86.0, 246.0], [86.0, 260.0], [45.0, 260.0]], ('7XGST', 0.8911088705062866)], [[[209.0, 247.0], [239.0, 247.0], [239.0, 262.0], [209.0, 262.0]], ('684', 0.6505588889122009)], [[[30.0, 275.0], [104.0, 275.0], [104.0, 289.0], [30.0, 289.0]], ('4TOTAL', 0.9859554171562195)], [[[162.0, 273.0], [240.0, 275.0], [240.0, 292.0], [162.0, 290.0]], ('150.42', 0.9962827563285828)], [[[41.0, 290.0], [73.0, 290.0], [73.0, 304.0], [41.0, 304.0]], ('VISA', 0.9957119226455688)], [[[66.0, 287.0], [127.0, 289.0], [126.0, 307.0], [65.0, 304.0]], ('5072', 0.8831888437271118)], [[[201.0, 289.0], [242.0, 292.0], [241.0, 309.0], [200.0, 306.0]], ('150.42', 0.9885680675506592)], [[[91.0, 319.0], [157.0, 323.0], [156.0, 341.0], [90.0, 337.0]], ('Thank you!', 0.9434477686882019)], [[[219.0, 313.0], [241.0, 313.0], [241.0, 320.0], [219.0, 320.0]], ('-', 0.6197269558906555)], [[[48.0, 337.0], [197.0, 342.0], [196.0, 359.0], [47.0, 354.0]], ('Please visit us again.', 0.9427638649940491)], [[[2.0, 355.0], [52.0, 355.0], [52.0, 373.0], [2.0, 373.0]], ('TBLTCX3', 0.9304298162460327)], [[[188.0, 356.0], [229.0, 360.0], [227.0, 378.0], [186.0, 374.0]], ('Pax:', 0.8980945944786072)], [[[0.0, 373.0], [51.0, 373.0], [51.0, 391.0], [0.0, 391.0]], ('Csh:999', 0.9292503595352173)], [[[95.0, 373.0], [244.0, 378.0], [244.0, 395.0], [95.0, 391.0]], ('POS:T001 Shf:201509061', 0.9172720313072205)]]
{"store_name": "SHIMARESTAURANT", "store_addr": "22ScottsRoad SIngapore228221", "telephone": "57345281", "date": "06/09/2015", "time": "13:33", "subtotal": "127.80", "tax": "9.84", "total": "150.42 150.42", "ignore": "", "tips": "12.78", "line_items": [{"item_key": "", "item_name": "(Adult)TeppanyakiBu", "item_value": "119.80", "item_quantity": "1"}, {"item_key": "", "item_name": "GreenTea(Hot)", "item_value": "4.00", "item_quantity": "1"}, {"item_key": "", "item_name": "GreenTea(ICE)", "item_value": "4.00", "item_quantity": "1"}, {"item_key": "QtyDeScriptions", "item_name": "", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[187.0, 116.0], [488.0, 116.0], [488.0, 197.0], [187.0, 197.0]], ('next', 0.9956052303314209)], [[[562.0, 154.0], [666.0, 80.0], [690.0, 112.0], [586.0, 187.0]], ('alamy', 0.9977309107780457)], [[[501.0, 268.0], [717.0, 266.0], [717.0, 291.0], [501.0, 293.0]], ('VAT No543543543', 0.935474157333374)], [[[184.0, 316.0], [307.0, 316.0], [307.0, 336.0], [184.0, 336.0]], ('SAT 02 AUG', 0.9235098958015442)], [[[381.0, 317.0], [720.0, 317.0], [720.0, 337.0], [381.0, 337.0]], ('12:28:5301 4889ASST313', 0.9411563873291016)], [[[186.0, 361.0], [542.0, 361.0], [542.0, 381.0], [186.0, 381.0]], ('401-193-161 WHT C0TTONSQVEE', 0.9241676330566406)], [[[577.0, 363.0], [590.0, 363.0], [590.0, 382.0], [577.0, 382.0]], ('1', 0.9968807697296143)], [[[673.0, 362.0], [729.0, 362.0], [729.0, 384.0], [673.0, 384.0]], ('5.00', 0.9990977644920349)], [[[184.0, 382.0], [554.0, 384.0], [554.0, 404.0], [184.0, 402.0]], ('399-168-172 BLK WHITE KIMONOP', 0.9249736070632935)], [[[576.0, 384.0], [593.0, 384.0], [593.0, 405.0], [576.0, 405.0]], ('1', 0.9916166663169861)], [[[618.0, 376.0], [649.0, 376.0], [649.0, 401.0], [618.0, 401.0]], ('a', 0.9923656582832336)], [[[664.0, 380.0], [728.0, 384.0], [727.0, 407.0], [663.0, 404.0]], ('15.00', 0.9978964924812317)], [[[184.0, 405.0], [489.0, 405.0], [489.0, 424.0], [184.0, 424.0]], ('410-152-160 BLKWAISTC0AT', 0.9387431144714355)], [[[576.0, 407.0], [593.0, 407.0], [593.0, 429.0], [576.0, 429.0]], ('1', 0.9958480596542358)], [[[673.0, 407.0], [728.0, 407.0], [728.0, 429.0], [673.0, 429.0]], ('8.00', 0.9988735914230347)], [[[184.0, 427.0], [554.0, 429.0], [554.0, 449.0], [184.0, 447.0]], ('396-284-183 GRV BELAIRSH0RT', 0.9264659881591797)], [[[577.0, 431.0], [590.0, 431.0], [590.0, 447.0], [577.0, 447.0]], ('1', 0.9919320940971375)], [[[665.0, 429.0], [728.0, 429.0], [728.0, 450.0], [665.0, 450.0]], ('12.00', 0.998576819896698)], [[[184.0, 446.0], [529.0, 449.0], [529.0, 474.0], [184.0, 471.0]], ('395-573-161 NAVY CHECKSHIRT', 0.9427592158317566)], [[[577.0, 452.0], [590.0, 452.0], [590.0, 471.0], [577.0, 471.0]], ('1', 0.9925064444541931)], [[[665.0, 452.0], [728.0, 452.0], [728.0, 473.0], [665.0, 473.0]], ('12.00', 0.9978163838386536)], [[[184.0, 471.0], [554.0, 474.0], [554.0, 494.0], [184.0, 491.0]], ('361-715-313 BLK WWR HIGH WAIST', 0.942337155342102)], [[[577.0, 476.0], [590.0, 476.0], [590.0, 492.0], [577.0, 492.0]], ('1', 0.9887610077857971)], [[[665.0, 475.0], [728.0, 475.0], [728.0, 497.0], [665.0, 497.0]], ('12.00', 0.9983016848564148)], [[[440.0, 517.0], [590.0, 518.0], [590.0, 540.0], [440.0, 539.0]], ('TOTAL SALE ', 0.9392853379249573)], [[[663.0, 520.0], [729.0, 520.0], [729.0, 542.0], [663.0, 542.0]], ('64.00', 0.9969743490219116)], [[[510.0, 539.0], [590.0, 539.0], [590.0, 563.0], [510.0, 563.0]], ('VISA ', 0.9433762431144714)], [[[662.0, 542.0], [730.0, 542.0], [730.0, 568.0], [662.0, 568.0]], ('64.00', 0.9972931742668152)], [[[489.0, 566.0], [590.0, 566.0], [590.0, 586.0], [489.0, 586.0]], ('CHANGE ', 0.9184176325798035)], [[[673.0, 568.0], [728.0, 568.0], [728.0, 589.0], [673.0, 589.0]], ('0.00', 0.9988464117050171)], [[[386.0, 608.0], [501.0, 608.0], [501.0, 633.0], [386.0, 633.0]], ('VISA SALE', 0.9642925262451172)], [[[39.0, 636.0], [69.0, 636.0], [69.0, 660.0], [39.0, 660.0]], ('a', 0.9918040037155151)], [[[177.0, 630.0], [441.0, 627.0], [441.0, 651.0], [177.0, 655.0]], ('Card No************', 0.7655725479125977)], [[[500.0, 634.0], [541.0, 634.0], [541.0, 656.0], [500.0, 656.0]], ('ICC', 0.9933083057403564)], [[[531.0, 634.0], [647.0, 639.0], [647.0, 659.0], [530.0, 654.0]], ('Expiry:', 0.9262827634811401)], [[[176.0, 650.0], [563.0, 656.0], [562.0, 681.0], [175.0, 675.0]], ('A000000000001000080500090430', 0.976080060005188)], [[[177.0, 702.0], [523.0, 707.0], [523.0, 740.0], [177.0, 735.0]], ('PLEASE DEBIT MY ACCOUNT WITH', 0.935612142086029)], [[[653.0, 705.0], [726.0, 705.0], [726.0, 747.0], [653.0, 747.0]], ('64.00', 0.9905760884284973)], [[[300.0, 763.0], [584.0, 766.0], [584.0, 791.0], [299.0, 788.0]], ('CARDHOLDER PIN VERIFIED', 0.9545360803604126)], [[[212.0, 786.0], [687.0, 791.0], [686.0, 815.0], [212.0, 811.0]], ('PLEASE KEEP THIS COPY FOR VOUR RECORDS', 0.9291890859603882)], [[[178.0, 835.0], [337.0, 835.0], [337.0, 856.0], [178.0, 856.0]], ('CUSTOMER COPY', 0.9695206880569458)], [[[500.0, 909.0], [562.0, 909.0], [562.0, 919.0], [500.0, 919.0]], ('**', 0.5677423477172852)], [[[175.0, 927.0], [567.0, 928.0], [567.0, 953.0], [175.0, 951.0]], ('*NEXT SUMMER SALE CONTINUES *', 0.9399524927139282)], [[[556.0, 935.0], [668.0, 862.0], [688.0, 892.0], [577.0, 966.0]], ('alamy', 0.9967954754829407)], [[[177.0, 954.0], [565.0, 954.0], [565.0, 974.0], [177.0, 974.0]], ('*FURTHER REDUCTIONS IN STORE ', 0.9438181519508362)], [[[178.0, 974.0], [562.0, 976.0], [562.0, 990.0], [178.0, 989.0]], ('*****************************', 0.5953947305679321)], [[[177.0, 1024.0], [413.0, 1024.0], [413.0, 1044.0], [177.0, 1044.0]], ('ENJOY YOUR PURCHASE', 0.9309597015380859)], [[[177.0, 1069.0], [532.0, 1072.0], [532.0, 1092.0], [177.0, 1089.0]], ('PLEASE KEEP RECEIPTS FOR ANY', 0.9452420473098755)], [[[177.0, 1092.0], [580.0, 1093.0], [580.0, 1118.0], [177.0, 1116.0]], ('EXCHANGES/REFUNDS WITHIN 28 DAVS', 0.9539201855659485)], [[[350.0, 1197.0], [552.0, 1202.0], [552.0, 1227.0], [349.0, 1222.0]], ('0439020808488901', 0.998015284538269)], [[[57.0, 1326.0], [99.0, 1326.0], [99.0, 1364.0], [57.0, 1364.0]], ('a', 0.9937087297439575)], [[[110.0, 1320.0], [510.0, 1320.0], [510.0, 1370.0], [110.0, 1370.0]], ('alamy stock photo', 0.9587965607643127)], [[[808.0, 1325.0], [881.0, 1325.0], [881.0, 1345.0], [808.0, 1345.0]], ('B6EMRX', 0.9919202923774719)], [[[757.0, 1351.0], [882.0, 1351.0], [882.0, 1371.0], [757.0, 1371.0]], ('www.alamy.com', 0.9957152605056763)]]
{"store_name": "", "store_addr": "", "telephone": "", "date": "", "time": "12:28:53", "subtotal": "", "tax": "", "total": "64.00", "ignore": " a ", "tips": "", "line_items": [{"item_key": "", "item_name": "WHTCOTTONSQVEE", "item_value": "5.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BLKWHITEKIMONOP", "item_value": "15.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BLKWAISTCOAT", "item_value": "8.00", "item_quantity": "1"}, {"item_key": "", "item_name": "GRYBELAIRSHORT", "item_value": "12.00", "item_quantity": "1"}, {"item_key": "", "item_name": "NAVYCHECKSHIRT", "item_value": "12.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BLKWWRHIGHWAIST", "item_value": "12.00", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[15.0, 10.0], [77.0, 10.0], [77.0, 22.0], [15.0, 22.0]], ('p16508', 0.7536048293113708)], [[[16.0, 3.0], [48.0, 3.0], [48.0, 15.0], [16.0, 15.0]], ('1-1000.', 0.7188445329666138)], [[[66.0, 65.0], [90.0, 65.0], [90.0, 77.0], [66.0, 77.0]], ('Inspect', 0.8597130179405212)], [[[24.0, 90.0], [40.0, 90.0], [40.0, 101.0], [24.0, 101.0]], ('08', 0.7935476899147034)], [[[33.0, 131.0], [74.0, 131.0], [74.0, 143.0], [33.0, 143.0]], ('1Esisstons', 0.8591184616088867)], [[[34.0, 141.0], [72.0, 141.0], [72.0, 151.0], [34.0, 151.0]], ('Stfcker', 0.7655099630355835)], [[[74.0, 141.0], [86.0, 141.0], [86.0, 150.0], [74.0, 150.0]], ('008', 0.796464204788208)], [[[126.0, 159.0], [148.0, 159.0], [148.0, 167.0], [126.0, 167.0]], ('159.48', 0.9953539967536926)]]
{"store_name": "", "store_addr": "", "telephone": "", "date": "06/28/15", "time": "06:50PM", "subtotal": "159.48", "tax": "", "total": "", "ignore": " ExpCarpetClean ", "tips": "", "line_items": []}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[56.0, 0.0], [130.0, 3.0], [129.0, 17.0], [55.0, 13.0]], ('9437 Mahlet', 0.8556101322174072)], [[[54.0, 19.0], [96.0, 21.0], [95.0, 33.0], [53.0, 30.0]], ('91/1', 0.792750358581543)], [[[108.0, 29.0], [217.0, 37.0], [216.0, 54.0], [106.0, 46.0]], ('JANO314218P', 0.8996305465698242)], [[[152.0, 23.0], [207.0, 28.0], [206.0, 42.0], [151.0, 37.0]], ('8422', 0.9783705472946167)], [[[230.0, 30.0], [265.0, 30.0], [265.0, 44.0], [230.0, 44.0]], ('5512', 0.8336468935012817)], [[[106.0, 51.0], [213.0, 59.0], [212.0, 72.0], [105.0, 65.0]], ('Subtotal', 0.9911749958992004)], [[[64.0, 80.0], [159.0, 87.0], [157.0, 101.0], [63.0, 94.0]], ('1 BV CABERNET', 0.8966965079307556)], [[[76.0, 93.0], [160.0, 99.0], [158.0, 113.0], [75.0, 106.0]], ('SODA BAR 14', 0.9201515316963196)], [[[222.0, 90.0], [252.0, 90.0], [252.0, 104.0], [222.0, 104.0]], ('8.00', 0.9918615818023682)], [[[76.0, 105.0], [179.0, 111.0], [178.0, 125.0], [75.0, 118.0]], ('MUSHROON SWISS', 0.8920089602470398)], [[[217.0, 110.0], [255.0, 113.0], [254.0, 128.0], [216.0, 125.0]], ('13.69', 0.9576525688171387)], [[[222.0, 101.0], [254.0, 101.0], [254.0, 116.0], [222.0, 116.0]], ('2.99', 0.9734369516372681)], [[[61.0, 127.0], [172.0, 133.0], [172.0, 147.0], [60.0, 141.0]], ('1 CL CHZ BURGER', 0.8858699202537537)], [[[91.0, 120.0], [123.0, 120.0], [123.0, 130.0], [91.0, 130.0]], ('WELL', 0.8396294713020325)], [[[90.0, 141.0], [127.0, 144.0], [126.0, 157.0], [89.0, 154.0]], ('NELL', 0.9661650061607361)], [[[219.0, 133.0], [257.0, 136.0], [256.0, 151.0], [218.0, 148.0]], ('15.19', 0.997054398059845)], [[[88.0, 153.0], [145.0, 155.0], [144.0, 169.0], [88.0, 167.0]], ('CHEDDAR', 0.9900946617126465)], [[[104.0, 167.0], [182.0, 169.0], [182.0, 183.0], [104.0, 181.0]], ('SUB CAESAR', 0.9726647138595581)], [[[104.0, 180.0], [204.0, 182.0], [203.0, 196.0], [104.0, 194.0]], ('SAUCE ON SIDE', 0.9334884285926819)], [[[104.0, 194.0], [240.0, 196.0], [240.0, 210.0], [104.0, 208.0]], ('CHEESE ON THE SIDE', 0.9320601224899292)], [[[103.0, 206.0], [184.0, 209.0], [184.0, 223.0], [103.0, 220.0]], ('SEE SERVER', 0.9546436071395874)], [[[71.0, 219.0], [141.0, 222.0], [140.0, 235.0], [71.0, 233.0]], ('SUBTOTAL', 0.9651190638542175)], [[[226.0, 220.0], [265.0, 223.0], [264.0, 238.0], [225.0, 235.0]], ('39.87', 0.9732484817504883)], [[[38.0, 235.0], [64.0, 235.0], [64.0, 250.0], [38.0, 250.0]], ('TAX', 0.9960317015647888)], [[[111.0, 235.0], [207.0, 235.0], [207.0, 249.0], [111.0, 249.0]], ('2.39AMOUNT', 0.9456629753112793)], [[[225.0, 236.0], [266.0, 236.0], [266.0, 250.0], [225.0, 250.0]], ('42.26', 0.9097973108291626)], [[[174.0, 251.0], [229.0, 251.0], [229.0, 262.0], [174.0, 262.0]], ('.******', 0.6948366761207581)], [[[69.0, 280.0], [135.0, 280.0], [135.0, 294.0], [69.0, 294.0]], ('SUBTOTAL', 0.9933314323425293)], [[[231.0, 278.0], [272.0, 278.0], [272.0, 293.0], [231.0, 293.0]], ('3967', 0.6196345090866089)], [[[67.0, 296.0], [96.0, 296.0], [96.0, 310.0], [67.0, 310.0]], ('TAX', 0.9951311945915222)], [[[238.0, 292.0], [274.0, 292.0], [274.0, 309.0], [238.0, 309.0]], ('2.39', 0.9904919862747192)], [[[65.0, 311.0], [119.0, 308.0], [120.0, 326.0], [66.0, 328.0]], ('AMOUNT', 0.9936447739601135)], [[[176.0, 310.0], [272.0, 306.0], [273.0, 323.0], [176.0, 326.0]], ('$42.26', 0.9837020039558411)]]
{"store_name": "", "store_addr": "", "telephone": "", "date": "JAN03'14", "time": "2:18PM", "subtotal": "39.87 39.87", "tax": "2.39 2.39", "total": "42.26 $42.26", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "BVCABERNET", "item_value": "8.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SODABAR14", "item_value": "2.99", "item_quantity": "1"}, {"item_key": "", "item_name": "MUSHROOMSWISS", "item_value": "13.69", "item_quantity": "1"}, {"item_key": "", "item_name": "WELL", "item_value": "15.19", "item_quantity": "1"}, {"item_key": "", "item_name": "CLCHZBURGER", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "WELL", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "CHEDDAR", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[118.0, 40.0], [1282.0, 40.0], [1282.0, 106.0], [118.0, 106.0]], ('Second BillPrint', 0.9477678537368774)], [[[542.0, 143.0], [1110.0, 143.0], [1110.0, 199.0], [542.0, 199.0]], ('1Bills Breakfast', 0.9571759700775146)], [[[1320.0, 136.0], [1487.0, 136.0], [1487.0, 204.0], [1320.0, 204.0]], ('10.45', 0.9963486790657043)], [[[668.0, 227.0], [913.0, 227.0], [913.0, 304.0], [668.0, 304.0]], ('W/Beans', 0.9779553413391113)], [[[674.0, 325.0], [1107.0, 329.0], [1106.0, 397.0], [673.0, 393.0]], ('W/B1k Pudding', 0.9450088739395142)], [[[1328.0, 413.0], [1478.0, 413.0], [1478.0, 486.0], [1328.0, 486.0]], ('9.20', 0.9909241795539856)], [[[547.0, 426.0], [1136.0, 423.0], [1137.0, 486.0], [547.0, 489.0]], ('1 Veggie Breakfast', 0.9324432015419006)], [[[678.0, 518.0], [1163.0, 518.0], [1163.0, 581.0], [678.0, 581.0]], ('W/Crispy Potato', 0.9419252872467041)], [[[1325.0, 597.0], [1472.0, 597.0], [1472.0, 665.0], [1325.0, 665.0]], ('2.30', 0.9958550930023193)], [[[550.0, 610.0], [935.0, 610.0], [935.0, 670.0], [550.0, 670.0]], ('1 Cappuccino', 0.953606128692627)], [[[551.0, 691.0], [902.0, 697.0], [901.0, 760.0], [550.0, 754.0]], ('1 Earl Grey', 0.9116355776786804)], [[[1327.0, 687.0], [1468.0, 687.0], [1468.0, 755.0], [1327.0, 755.0]], ('1.95', 0.9916728138923645)], [[[550.0, 783.0], [1122.0, 781.0], [1122.0, 838.0], [550.0, 839.0]], ('1 Bills Milk Choco', 0.8738510608673096)], [[[1317.0, 776.0], [1463.0, 776.0], [1463.0, 843.0], [1317.0, 843.0]], ('2.50', 0.9972937107086182)], [[[1292.0, 859.0], [1460.0, 859.0], [1460.0, 926.0], [1292.0, 926.0]], ('-2.50', 0.9682756662368774)], [[[323.0, 869.0], [1092.0, 869.0], [1092.0, 921.0], [323.0, 921.0]], ('ItemComp-BilIs Mi1k Ch', 0.8958690166473389)], [[[139.0, 949.0], [432.0, 952.0], [431.0, 1010.0], [138.0, 1007.0]], ('SUBTOTAL:', 0.9807109832763672)], [[[1292.0, 947.0], [1467.0, 947.0], [1467.0, 1013.0], [1292.0, 1013.0]], ('23.90', 0.9931551218032837)], [[[137.0, 1035.0], [1033.0, 1040.0], [1033.0, 1103.0], [137.0, 1098.0]], ('10% Optional Service Charge', 0.9370121359825134)], [[[1328.0, 1037.0], [1473.0, 1037.0], [1473.0, 1105.0], [1328.0, 1105.0]], ('2.39', 0.9937077760696411)], [[[115.0, 1126.0], [230.0, 1126.0], [230.0, 1199.0], [115.0, 1199.0]], ('WS5', 0.974551260471344)], [[[777.0, 1128.0], [1072.0, 1128.0], [1072.0, 1191.0], [777.0, 1191.0]], ('T#0000084', 0.9931520819664001)], [[[127.0, 1227.0], [508.0, 1227.0], [508.0, 1286.0], [127.0, 1286.0]], ('TOTAL.', 0.8785808682441711)], [[[1082.0, 1224.0], [1482.0, 1224.0], [1482.0, 1286.0], [1082.0, 1286.0]], ('f26.29', 0.9098749756813049)]]
{"store_name": "", "store_addr": "", "telephone": "", "date": "", "time": "", "subtotal": "23.90", "tax": "", "total": "\u00a326.29", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "BillsBreakfast", "item_value": "10.45", "item_quantity": "1"}, {"item_key": "", "item_name": "W/Beans", "item_value": "9.20", "item_quantity": "1"}, {"item_key": "", "item_name": "W/BlkPudding", "item_value": "2.30", "item_quantity": "1"}, {"item_key": "", "item_name": "VeggieBreakfast", "item_value": "1.95", "item_quantity": "1"}, {"item_key": "", "item_name": "W/CrispyPotato", "item_value": "2.50", "item_quantity": "1"}, {"item_key": "", "item_name": "Cappuccino", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "EarlGrey", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "BillsMilkChoco", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[64.0, 9.0], [234.0, 9.0], [234.0, 23.0], [64.0, 23.0]], ('GRANDHYATT', 0.9934228658676147)], [[[63.0, 39.0], [213.0, 39.0], [213.0, 52.0], [63.0, 52.0]], ('*CANNES HOTEL MARTINEZ ', 0.9213002920150757)], [[[59.0, 59.0], [221.0, 58.0], [221.0, 72.0], [60.0, 73.0]], ('73 LA CR0ISETTE 06400 CANNES', 0.9117943048477173)], [[[97.0, 72.0], [177.0, 72.0], [177.0, 85.0], [97.0, 85.0]], ('**Z PLAGE **', 0.8709085583686829)], [[[20.0, 107.0], [137.0, 107.0], [137.0, 121.0], [20.0, 121.0]], ('4541394 Christian 0.', 0.9309956431388855)], [[[14.0, 132.0], [71.0, 132.0], [71.0, 146.0], [14.0, 146.0]], ('CHK20462', 0.9873620271682739)], [[[106.0, 132.0], [157.0, 132.0], [157.0, 146.0], [106.0, 146.0]], ('TBL12/1', 0.9900755882263184)], [[[228.0, 130.0], [262.0, 130.0], [262.0, 145.0], [228.0, 145.0]], ('GST4', 0.9929623007774353)], [[[79.0, 145.0], [195.0, 144.0], [195.0, 158.0], [79.0, 159.0]], ('27JUL1721:05PM', 0.9527093768119812)], [[[15.0, 172.0], [248.0, 170.0], [248.0, 187.0], [15.0, 189.0]], ('1 Fritto Misto Sicilia Crispy 39.00', 0.950901985168457)], [[[14.0, 189.0], [144.0, 187.0], [144.0, 201.0], [15.0, 203.0]], ('1 Volaille tandoori', 0.9221835136413574)], [[[212.0, 186.0], [248.0, 186.0], [248.0, 201.0], [212.0, 201.0]], ('42.00', 0.9965535402297974)], [[[13.0, 203.0], [156.0, 200.0], [157.0, 216.0], [14.0, 219.0]], ('1 Ravioli boeuf confit', 0.9394006729125977)], [[[213.0, 201.0], [249.0, 201.0], [249.0, 216.0], [213.0, 216.0]], ('32.00', 0.9977582097053528)], [[[12.0, 219.0], [143.0, 219.0], [143.0, 233.0], [12.0, 233.0]], ('1 Marmite du pecheur', 0.9620026350021362)], [[[214.0, 216.0], [250.0, 216.0], [250.0, 230.0], [214.0, 230.0]], ('43.00', 0.9941542744636536)], [[[10.0, 234.0], [105.0, 234.0], [105.0, 248.0], [10.0, 248.0]], ('1 Moelleux Z.n', 0.8428676724433899)], [[[215.0, 231.0], [251.0, 231.0], [251.0, 246.0], [215.0, 246.0]], ('17.00', 0.9968481063842773)], [[[7.0, 251.0], [197.0, 248.0], [197.0, 262.0], [7.0, 265.0]], ('2 V.Prestige Roseline B1c @', 0.891975462436676)], [[[18.0, 266.0], [48.0, 266.0], [48.0, 281.0], [18.0, 281.0]], ('9.00', 0.9896836876869202)], [[[216.0, 262.0], [254.0, 262.0], [254.0, 280.0], [216.0, 280.0]], ('18.00', 0.9969059228897095)], [[[2.0, 283.0], [122.0, 280.0], [122.0, 297.0], [2.0, 300.0]], ('2Limonade @9.00', 0.9481152892112732)], [[[217.0, 279.0], [255.0, 279.0], [255.0, 297.0], [217.0, 297.0]], ('18.00', 0.9970434308052063)], [[[27.0, 316.0], [142.0, 316.0], [142.0, 333.0], [27.0, 333.0]], ('17.36 de TVA 10%', 0.9257903099060059)], [[[210.0, 314.0], [257.0, 314.0], [257.0, 332.0], [210.0, 332.0]], ('191.00', 0.9944210648536682)], [[[11.0, 335.0], [84.0, 335.0], [84.0, 353.0], [11.0, 353.0]], ('Net Total:', 0.938337504863739)], [[[205.0, 333.0], [258.0, 333.0], [258.0, 352.0], [205.0, 352.0]], ('173.64', 0.9933947920799255)], [[[28.0, 354.0], [140.0, 353.0], [140.0, 370.0], [28.0, 371.0]], ('3.00 de TVA 20%', 0.9241629242897034)], [[[220.0, 353.0], [260.0, 353.0], [260.0, 371.0], [220.0, 371.0]], ('18.00', 0.9955798387527466)], [[[7.0, 374.0], [81.0, 374.0], [81.0, 391.0], [7.0, 391.0]], ('Net Total:', 0.938103973865509)], [[[213.0, 372.0], [261.0, 372.0], [261.0, 390.0], [213.0, 390.0]], ('15.00e', 0.9757537245750427)], [[[3.0, 391.0], [66.0, 393.0], [65.0, 412.0], [3.0, 410.0]], ('Subtotal', 0.9925870895385742)], [[[206.0, 393.0], [262.0, 393.0], [262.0, 410.0], [206.0, 410.0]], ('209.00', 0.9962496161460876)], [[[0.0, 410.0], [83.0, 412.0], [82.0, 429.0], [0.0, 427.0]], ('tal Due', 0.9147882461547852)], [[[126.0, 412.0], [208.0, 412.0], [208.0, 429.0], [126.0, 429.0]], ('209.00', 0.9958750605583191)]]
{"store_name": "GRAND HYATT", "store_addr": "73LACROISETTE06400CANNES", "telephone": "", "date": "27JUL'17", "time": "21:05PM", "subtotal": "209.00\u20ac", "tax": "", "total": "209.00\u20ac", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "FrittoMistoSiciliaCrispy", "item_value": "39.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Volailletandoori", "item_value": "42.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Ravioliboeufconfit", "item_value": "32.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Marmitedup\u00eacheur", "item_value": "43.00", "item_quantity": "1"}, {"item_key": "", "item_name": "MoelleuxZ.n", "item_value": "17.00", "item_quantity": "1"}, {"item_key": "", "item_name": "V.PrestigeRoselineBlc@", "item_value": "18.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Limonade@9.00", "item_value": "18.00", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[62.0, 93.0], [424.0, 89.0], [424.0, 108.0], [63.0, 113.0]], ('WESTMINSTERCD-OP', 0.9128192067146301)], [[[149.0, 113.0], [341.0, 110.0], [341.0, 130.0], [149.0, 132.0]], ('THANKYDU', 0.9492535591125488)], [[[20.0, 271.0], [102.0, 271.0], [102.0, 295.0], [20.0, 295.0]], ('CAROL S', 0.930652916431427)], [[[180.0, 270.0], [217.0, 267.0], [219.0, 291.0], [182.0, 294.0]], ('#15', 0.9043948650360107)], [[[20.0, 312.0], [154.0, 310.0], [155.0, 331.0], [20.0, 332.0]], ('VINTAGE SELT', 0.9610943794250488)], [[[407.0, 306.0], [474.0, 306.0], [474.0, 330.0], [407.0, 330.0]], ('109', 0.5922778844833374)], [[[107.0, 331.0], [196.0, 331.0], [196.0, 351.0], [107.0, 351.0]], ('1QTY2/', 0.9058361053466797)], [[[215.0, 329.0], [271.0, 329.0], [271.0, 350.0], [215.0, 350.0]], ('$1.00', 0.9886566400527954)], [[[19.0, 350.0], [156.0, 349.0], [156.0, 370.0], [19.0, 371.0]], ('VINTAGE SELT', 0.9420342445373535)], [[[408.0, 345.0], [476.0, 345.0], [476.0, 370.0], [408.0, 370.0]], ('50TF', 0.9559378623962402)], [[[107.0, 370.0], [197.0, 370.0], [197.0, 390.0], [107.0, 390.0]], ('1QTY2/', 0.8660700917243958)], [[[215.0, 367.0], [273.0, 367.0], [273.0, 389.0], [215.0, 389.0]], ('$1.00', 0.9964125752449036)], [[[20.0, 390.0], [156.0, 389.0], [156.0, 409.0], [20.0, 411.0]], ('VINTAGE SELT', 0.9676670432090759)], [[[410.0, 383.0], [477.0, 383.0], [477.0, 408.0], [410.0, 408.0]], ('.50TF', 0.8856531381607056)], [[[110.0, 410.0], [197.0, 410.0], [197.0, 430.0], [110.0, 430.0]], ('1QTY2/', 0.9061737060546875)], [[[212.0, 408.0], [273.0, 405.0], [274.0, 430.0], [213.0, 433.0]], ('$1.00', 0.9872153401374817)], [[[21.0, 430.0], [154.0, 429.0], [155.0, 449.0], [21.0, 451.0]], ('VINTAGE SELT', 0.9572154879570007)], [[[406.0, 425.0], [476.0, 422.0], [477.0, 447.0], [407.0, 450.0]], ('50TF', 0.9320116639137268)], [[[108.0, 449.0], [198.0, 448.0], [198.0, 469.0], [109.0, 470.0]], ('1QTY2/', 0.9484801292419434)], [[[215.0, 448.0], [273.0, 448.0], [273.0, 469.0], [215.0, 469.0]], ('$1.00', 0.9965759515762329)], [[[20.0, 470.0], [154.0, 469.0], [155.0, 489.0], [20.0, 490.0]], ('PGRAPE NUTS', 0.9575557708740234)], [[[395.0, 464.0], [446.0, 464.0], [446.0, 489.0], [395.0, 489.0]], ('2.89', 0.9594094157218933)], [[[463.0, 465.0], [476.0, 467.0], [473.0, 487.0], [460.0, 485.0]], ('L4', 0.5073453187942505)], [[[21.0, 490.0], [153.0, 490.0], [153.0, 510.0], [21.0, 510.0]], ('P GRAPE NUTS', 0.9227818846702576)], [[[398.0, 486.0], [445.0, 486.0], [445.0, 507.0], [398.0, 507.0]], ('2.89', 0.8683788776397705)], [[[463.0, 486.0], [476.0, 486.0], [476.0, 507.0], [463.0, 507.0]], ('L', 0.6370006203651428)], [[[22.0, 511.0], [143.0, 511.0], [143.0, 530.0], [22.0, 530.0]], ('DAN NON FAT', 0.9465741515159607)], [[[397.0, 503.0], [447.0, 503.0], [447.0, 528.0], [397.0, 528.0]], ('2.19', 0.9765110015869141)], [[[21.0, 529.0], [145.0, 529.0], [145.0, 552.0], [21.0, 552.0]], ('DAN NON FAT', 0.8880384564399719)], [[[397.0, 524.0], [447.0, 524.0], [447.0, 549.0], [397.0, 549.0]], ('2.19', 0.9842854738235474)], [[[463.0, 524.0], [476.0, 524.0], [476.0, 548.0], [463.0, 548.0]], ('L.', 0.521900475025177)], [[[22.0, 551.0], [144.0, 551.0], [144.0, 570.0], [22.0, 570.0]], ('DAN NON FAT', 0.9449381232261658)], [[[398.0, 545.0], [446.0, 545.0], [446.0, 566.0], [398.0, 566.0]], ('2.19', 0.9225629568099976)], [[[463.0, 545.0], [476.0, 545.0], [476.0, 566.0], [463.0, 566.0]], ('L', 0.7026363611221313)], [[[55.0, 569.0], [135.0, 569.0], [135.0, 589.0], [55.0, 589.0]], ('1.83LB', 0.9731878638267517)], [[[196.0, 569.0], [210.0, 569.0], [210.0, 587.0], [196.0, 587.0]], ('a', 0.9682526588439941)], [[[236.0, 566.0], [296.0, 566.0], [296.0, 587.0], [236.0, 587.0]], ('3LB/', 0.8774041533470154)], [[[333.0, 565.0], [392.0, 565.0], [392.0, 586.0], [333.0, 586.0]], ('$.99', 0.9411082863807678)], [[[22.0, 589.0], [101.0, 588.0], [102.0, 609.0], [23.0, 610.0]], ('BANANAS', 0.9950225949287415)], [[[408.0, 585.0], [450.0, 585.0], [450.0, 606.0], [408.0, 606.0]], ('.60', 0.7321326732635498)], [[[461.0, 585.0], [476.0, 585.0], [476.0, 603.0], [461.0, 603.0]], ('F', 0.9636602997779846)], [[[66.0, 626.0], [194.0, 626.0], [194.0, 648.0], [66.0, 648.0]], ('SUBTL', 0.9862562417984009)], [[[314.0, 625.0], [443.0, 621.0], [444.0, 644.0], [314.0, 647.0]], ('$15.05', 0.9776649475097656)], [[[23.0, 647.0], [172.0, 645.0], [172.0, 668.0], [24.0, 670.0]], ('CUST104893', 0.9893186688423157)], [[[66.0, 685.0], [138.0, 685.0], [138.0, 709.0], [66.0, 709.0]], ('SLSTAX', 0.9956467747688293)], [[[382.0, 688.0], [445.0, 681.0], [448.0, 706.0], [385.0, 713.0]], ('10', 0.991693377494812)], [[[67.0, 726.0], [175.0, 726.0], [175.0, 750.0], [67.0, 750.0]], ('TOTAL', 0.9937658309936523)], [[[330.0, 721.0], [444.0, 721.0], [444.0, 745.0], [330.0, 745.0]], ('1505', 0.9682354927062988)], [[[67.0, 766.0], [158.0, 763.0], [158.0, 787.0], [68.0, 790.0]], ('CASH', 0.9975451827049255)], [[[309.0, 762.0], [445.0, 757.0], [447.0, 785.0], [310.0, 790.0]], ('20.05', 0.9601604342460632)], [[[70.0, 803.0], [198.0, 803.0], [198.0, 826.0], [70.0, 826.0]], ('CHANGE', 0.9980505108833313)], [[[311.0, 801.0], [445.0, 798.0], [445.0, 822.0], [312.0, 825.0]], ('$5.00', 0.8541826009750366)], [[[179.0, 841.0], [336.0, 841.0], [336.0, 863.0], [179.0, 863.0]], ('10ITEMS', 0.9328650236129761)], [[[27.0, 903.0], [244.0, 901.0], [244.0, 921.0], [27.0, 924.0]], ('00042127-00049399', 0.9873242378234863)], [[[274.0, 901.0], [342.0, 901.0], [342.0, 921.0], [274.0, 921.0]], ('4:24PM', 0.8603836894035339)], [[[339.0, 901.0], [479.0, 901.0], [479.0, 920.0], [339.0, 920.0]], ('7/29/98WED', 0.9744672775268555)], [[[368.0, 920.0], [418.0, 920.0], [418.0, 942.0], [368.0, 942.0]], ('9913', 0.9928289651870728)]]
{"store_name": "WESTMINSTERCO-OP", "store_addr": "", "telephone": "", "date": "7/29/98", "time": "4:24PM", "subtotal": "$15.05", "tax": ".10", "total": "15.05", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "BANANAS", "item_value": ".60", "item_quantity": "1"}, {"item_key": "", "item_name": "DANNON", "item_value": "2.19", "item_quantity": "1"}, {"item_key": "", "item_name": "DANNON", "item_value": "2.19", "item_quantity": "1"}, {"item_key": "", "item_name": "DANNON", "item_value": "2.19", "item_quantity": "1"}, {"item_key": "", "item_name": "PGRAPENUTS", "item_value": "2.89", "item_quantity": "1"}, {"item_key": "", "item_name": "PGRAPENUTS", "item_value": "2.89", "item_quantity": "1"}, {"item_key": "", "item_name": "FAT", "item_value": ".50", "item_quantity": "1"}, {"item_key": "", "item_name": "FAT", "item_value": ".50", "item_quantity": "1"}, {"item_key": "", "item_name": "FAT", "item_value": ".50", "item_quantity": "1"}, {"item_key": "", "item_name": "VINTAGESELT", "item_value": ".50", "item_quantity": "1"}, {"item_key": "", "item_name": "VINTAGESELT", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "VINTAGESELT", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "VINTAGESELT", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[98.0, 3.0], [227.0, 1.0], [227.0, 18.0], [98.0, 20.0]], ('Singapore-049860', 0.9573297500610352)], [[[104.0, 21.0], [220.0, 19.0], [221.0, 35.0], [104.0, 37.0]], ('Tel:62229068', 0.9224991202354431)], [[[91.0, 38.0], [235.0, 38.0], [235.0, 54.0], [91.0, 54.0]], ('GSTNo:200604704K', 0.9570021033287048)], [[[43.0, 71.0], [141.0, 73.0], [140.0, 91.0], [42.0, 89.0]], ('306 Manager1', 0.9457967281341553)], [[[37.0, 107.0], [198.0, 107.0], [198.0, 124.0], [37.0, 124.0]], ('Tb1 101/1Chk3846', 0.9458578824996948)], [[[239.0, 106.0], [293.0, 106.0], [293.0, 123.0], [239.0, 123.0]], ('Gst2', 0.9735364317893982)], [[[101.0, 126.0], [226.0, 126.0], [226.0, 139.0], [101.0, 139.0]], ('Oct251208:17PM', 0.9259418845176697)], [[[50.0, 159.0], [188.0, 159.0], [188.0, 172.0], [50.0, 172.0]], ('2QYSTERS032.00', 0.9174523949623108)], [[[226.0, 157.0], [270.0, 157.0], [270.0, 172.0], [226.0, 172.0]], ('64.00', 0.924913227558136)], [[[49.0, 175.0], [179.0, 175.0], [179.0, 189.0], [49.0, 189.0]], ('1 PATA NEGRA 60g', 0.8467922210693359)], [[[227.0, 174.0], [271.0, 174.0], [271.0, 189.0], [227.0, 189.0]], ('45.00', 0.9955013990402222)], [[[47.0, 193.0], [98.0, 193.0], [98.0, 207.0], [47.0, 207.0]], ('1VEAL', 0.9888834953308105)], [[[228.0, 191.0], [272.0, 191.0], [272.0, 206.0], [228.0, 206.0]], ('50.00', 0.9824110865592957)], [[[44.0, 210.0], [100.0, 210.0], [100.0, 226.0], [44.0, 226.0]], ('1DUCK', 0.9828647375106812)], [[[228.0, 208.0], [275.0, 208.0], [275.0, 225.0], [228.0, 225.0]], ('40.00', 0.9925390481948853)], [[[43.0, 228.0], [107.0, 228.0], [107.0, 245.0], [43.0, 245.0]], ('2BREAD', 0.977532148361206)], [[[237.0, 228.0], [275.0, 228.0], [275.0, 243.0], [237.0, 243.0]], ('0.00', 0.9726822376251221)], [[[41.0, 247.0], [198.0, 245.0], [198.0, 262.0], [42.0, 264.0]], ('1MILLEFEUILLE CAR', 0.9656688570976257)], [[[232.0, 247.0], [276.0, 247.0], [276.0, 262.0], [232.0, 262.0]], ('15.00', 0.9893925786018372)], [[[40.0, 267.0], [165.0, 265.0], [165.0, 282.0], [41.0, 284.0]], ('1 CREME BRULEE', 0.914533257484436)], [[[230.0, 265.0], [278.0, 265.0], [278.0, 283.0], [230.0, 283.0]], ('15.00', 0.9550202488899231)], [[[42.0, 286.0], [199.0, 284.0], [199.0, 300.0], [43.0, 303.0]], ('1 M&MNUITSSTGEORGE', 0.962470293045044)], [[[223.0, 285.0], [277.0, 285.0], [277.0, 302.0], [223.0, 302.0]], ('138.00', 0.9832651019096375)], [[[60.0, 324.0], [131.0, 324.0], [131.0, 341.0], [60.0, 341.0]], ('Subtotal', 0.9963592290878296)], [[[222.0, 321.0], [277.0, 321.0], [277.0, 338.0], [222.0, 338.0]], ('367.00', 0.9893853068351746)]]
{"store_name": "", "store_addr": "Singapore049860", "telephone": "Tel:62229068", "date": "0ct25'12", "time": "08:17PM", "subtotal": "367.00", "tax": "", "total": "", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "M&MNUITSSTGEORGE", "item_value": "138.00", "item_quantity": "1"}, {"item_key": "", "item_name": "CREMEBRULEE", "item_value": "15.00", "item_quantity": "1"}, {"item_key": "", "item_name": "MILLEFEUILLECAR", "item_value": "15.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BREAD", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "DUCK", "item_value": "40.00", "item_quantity": "1"}, {"item_key": "", "item_name": "VEAL", "item_value": "50.00", "item_quantity": "1"}, {"item_key": "", "item_name": "PATANEGRA60g", "item_value": "45.00", "item_quantity": "1"}, {"item_key": "", "item_name": "OYSTERS", "item_value": "64.00", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[84.0, 8.0], [173.0, 2.0], [174.0, 19.0], [86.0, 25.0]], ('Bf teday.', 0.5925479531288147)], [[[81.0, 38.0], [420.0, 11.0], [422.0, 30.0], [83.0, 57.0]], ('THONK VOUL WE VRLUE YOUR OPINION!', 0.8230099081993103)], [[[75.0, 124.0], [376.0, 104.0], [380.0, 166.0], [79.0, 186.0]], ('Walmart', 0.9918003678321838)], [[[77.0, 190.0], [379.0, 174.0], [380.0, 201.0], [79.0, 217.0]], ('Save money.Live better', 0.9711347222328186)], [[[177.0, 241.0], [377.0, 232.0], [378.0, 255.0], [178.0, 264.0]], ('607739-1714', 0.9748345017433167)], [[[156.0, 265.0], [396.0, 254.0], [397.0, 274.0], [157.0, 285.0]], ('MANAGER STEVE LITTRELL', 0.9469819664955139)], [[[178.0, 285.0], [366.0, 277.0], [366.0, 297.0], [179.0, 305.0]], ('1400 COUNTY RD 64', 0.8806429505348206)], [[[167.0, 307.0], [377.0, 298.0], [378.0, 318.0], [168.0, 327.0]], ('HORSEHEADS NY 14845', 0.9491634368896484)], [[[71.0, 330.0], [496.0, 314.0], [497.0, 338.0], [72.0, 354.0]], ('STM19760PM 00007343 TE#18 TR# 00773', 0.897088885307312)], [[[71.0, 352.0], [379.0, 342.0], [379.0, 362.0], [71.0, 372.0]], ('PRODUCT SERIAL FU105109707', 0.9192674160003662)], [[[210.0, 369.0], [346.0, 365.0], [347.0, 385.0], [211.0, 389.0]], ('004549688162', 0.9891017079353333)], [[[413.0, 361.0], [500.0, 358.0], [501.0, 382.0], [414.0, 385.0]], ('59.99T', 0.9669893383979797)], [[[72.0, 373.0], [213.0, 369.0], [213.0, 389.0], [72.0, 393.0]], ('UIIU HDUR ', 0.8257692456245422)], [[[425.0, 384.0], [488.0, 384.0], [488.0, 406.0], [425.0, 406.0]], ('4.00', 0.9961904287338257)], [[[70.0, 394.0], [347.0, 386.0], [348.0, 409.0], [71.0, 417.0]], ('2YR RPL PLAN 060538804739', 0.9307552576065063)], [[[266.0, 411.0], [358.0, 409.0], [358.0, 430.0], [267.0, 432.0]], ('SUBTOTAL', 0.9929296970367432)], [[[416.0, 406.0], [476.0, 406.0], [476.0, 428.0], [416.0, 428.0]], ('63.99', 0.9973223805427551)], [[[168.0, 433.0], [227.0, 433.0], [227.0, 458.0], [168.0, 458.0]], ('TAX 1', 0.9167109727859497)], [[[256.0, 433.0], [339.0, 431.0], [340.0, 453.0], [257.0, 455.0]], ('8.000', 0.9891365170478821)], [[[426.0, 429.0], [478.0, 429.0], [478.0, 451.0], [426.0, 451.0]], ('5.12', 0.9984771013259888)], [[[302.0, 452.0], [360.0, 452.0], [360.0, 477.0], [302.0, 477.0]], ('TOTAL', 0.9980134963989258)], [[[417.0, 452.0], [478.0, 452.0], [478.0, 474.0], [417.0, 474.0]], ('69.11', 0.996274471282959)], [[[245.0, 477.0], [363.0, 475.0], [363.0, 499.0], [245.0, 501.0]], ('VISA TEND', 0.9433825016021729)], [[[418.0, 475.0], [479.0, 475.0], [479.0, 497.0], [418.0, 497.0]], ('69.11', 0.9960347414016724)], [[[70.0, 525.0], [171.0, 523.0], [172.0, 544.0], [70.0, 546.0]], ('ACCOUNT #', 0.9040477275848389)], [[[249.0, 521.0], [484.0, 521.0], [484.0, 542.0], [249.0, 542.0]], ('************2861', 0.834016740322113)], [[[492.0, 524.0], [502.0, 524.0], [502.0, 539.0], [492.0, 539.0]], ('S', 0.5974302887916565)], [[[68.0, 546.0], [260.0, 544.0], [261.0, 567.0], [68.0, 569.0]], ('APPROUAL045338', 0.9456981420516968)], [[[69.0, 571.0], [248.0, 568.0], [249.0, 589.0], [69.0, 592.0]], ('REF M 1042000314', 0.9175423383712769)], [[[69.0, 592.0], [363.0, 589.0], [363.0, 612.0], [69.0, 615.0]], ('TRANS ID-164321226978247', 0.9112868309020996)], [[[68.0, 615.0], [261.0, 614.0], [262.0, 635.0], [68.0, 636.0]], ('UALIDATION -U7KP', 0.8885486125946045)], [[[67.0, 639.0], [284.0, 637.0], [284.0, 657.0], [67.0, 659.0]], ('PAYHENT SERUICE -E', 0.8757317066192627)], [[[68.0, 663.0], [283.0, 661.0], [283.0, 682.0], [68.0, 684.0]], ('TERHINAL 41000322', 0.9257727265357971)], [[[158.0, 706.0], [253.0, 706.0], [253.0, 734.0], [158.0, 734.0]], ('11/17/14', 0.9970226287841797)], [[[309.0, 706.0], [405.0, 706.0], [405.0, 731.0], [309.0, 731.0]], ('01:18:19', 0.9066088199615479)], [[[250.0, 754.0], [370.0, 752.0], [370.0, 780.0], [250.0, 782.0]], ('CHANGE DUE', 0.9528101086616516)], [[[439.0, 752.0], [490.0, 752.0], [490.0, 779.0], [439.0, 779.0]], ('0.00', 0.996312141418457)]]
{"store_name": "Walmart", "store_addr": "1400COUNTYRD64 HORSEHEADSNY14845", "telephone": "(607)739-1714", "date": "11/17/14", "time": "01:18:19", "subtotal": "63.99", "tax": "5.12", "total": "69.11 69.11", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "WIIUHDWR004549688162", "item_value": "59.99T", "item_quantity": "1"}, {"item_key": "", "item_name": "2YRRPLPLAN060538804739", "item_value": "4.00T", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[89.0, 31.0], [155.0, 31.0], [155.0, 42.0], [89.0, 42.0]], ('Texas Chicken', 0.959564208984375)], [[[50.0, 41.0], [186.0, 41.0], [186.0, 54.0], [50.0, 54.0]], ('No 30Jaan Tun Abdu1 Aziz', 0.8843259811401367)], [[[32.0, 52.0], [211.0, 52.0], [211.0, 65.0], [32.0, 65.0]], ('Bandar Kajang43000 KajangSelangor', 0.9565374851226807)], [[[32.0, 73.0], [207.0, 73.0], [207.0, 86.0], [32.0, 86.0]], ('Texas Ch1cken.M Sdn Bhd 986113-P', 0.8968054056167603)], [[[92.0, 64.0], [150.0, 64.0], [150.0, 75.0], [92.0, 75.0]], ('03-82115223', 0.9905693531036377)], [[[69.0, 86.0], [175.0, 86.0], [175.0, 99.0], [69.0, 99.0]], ('Restaurant No10828', 0.9691083431243896)], [[[73.0, 98.0], [171.0, 98.0], [171.0, 111.0], [73.0, 111.0]], ('GSTID000309133312', 0.9857029914855957)], [[[94.0, 110.0], [150.0, 110.0], [150.0, 125.0], [94.0, 125.0]], ('TAX INVOICE', 0.9655820727348328)], [[[8.0, 159.0], [98.0, 159.0], [98.0, 172.0], [8.0, 172.0]], ('Invo1ce:002-28474', 0.9164748787879944)], [[[198.0, 159.0], [237.0, 159.0], [237.0, 173.0], [198.0, 173.0]], ('Dine In', 0.9672868847846985)], [[[8.0, 171.0], [130.0, 171.0], [130.0, 184.0], [8.0, 184.0]], ('Date:2017/01/06 12:43:13', 0.9307069778442383)], [[[10.0, 195.0], [93.0, 195.0], [93.0, 208.0], [10.0, 208.0]], ('7Mex1BurgerCoaR', 0.8766021728515625)], [[[194.0, 192.0], [235.0, 194.0], [235.0, 208.0], [193.0, 206.0]], ('RM13.60', 0.8988011479377747)], [[[14.0, 206.0], [93.0, 206.0], [93.0, 219.0], [14.0, 219.0]], ('Mexicana Burger', 0.9392242431640625)], [[[13.0, 218.0], [52.0, 218.0], [52.0, 229.0], [13.0, 229.0]], ('Coke R', 0.9097267985343933)], [[[12.0, 229.0], [54.0, 229.0], [54.0, 240.0], [12.0, 240.0]], ('FriesR', 0.9519569277763367)], [[[120.0, 252.0], [174.0, 252.0], [174.0, 263.0], [120.0, 263.0]], ('Grand Total', 0.9218823909759521)], [[[200.0, 249.0], [240.0, 251.0], [240.0, 265.0], [199.0, 263.0]], ('RM13.60', 0.9866952896118164)], [[[3.0, 275.0], [180.0, 275.0], [180.0, 289.0], [3.0, 289.0]], ('B111 Inclus1ve of 6x GSTRH0.77', 0.808190643787384)], [[[152.0, 298.0], [177.0, 301.0], [176.0, 316.0], [151.0, 313.0]], ('Cash', 0.9935427904129028)], [[[202.0, 298.0], [243.0, 301.0], [243.0, 316.0], [201.0, 313.0]], ('RM50.00', 0.9327040910720825)], [[[142.0, 312.0], [177.0, 315.0], [176.0, 329.0], [141.0, 326.0]], ('Change', 0.9962872862815857)], [[[203.0, 313.0], [243.0, 313.0], [243.0, 327.0], [203.0, 327.0]], ('RM36.40', 0.974608302116394)], [[[96.0, 339.0], [147.0, 339.0], [147.0, 353.0], [96.0, 353.0]], ('Thank You', 0.9568158388137817)], [[[76.0, 350.0], [167.0, 352.0], [167.0, 366.0], [76.0, 365.0]], ('Please Cone Again', 0.9205101132392883)], [[[0.0, 375.0], [193.0, 374.0], [193.0, 387.0], [0.0, 388.0]], ('002-2017/01/0612:43:46FARHHA002-2847413', 0.868136465549469)]]
{"store_name": "TexasChicken", "store_addr": "No30,JalanTunAbdulAziz. BandarKajang,43000Kajang,Selangor.", "telephone": "03-82115223", "date": "2017/01/06 2017/01/06", "time": "12:43:46", "subtotal": "", "tax": "RHO.77)", "total": "RM13.60", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "(7)MexiBurgerConR", "item_value": "RM13.60", "item_quantity": "1"}, {"item_key": "", "item_name": ":MexicanaBurger", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": ":CokeR", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": ":FriesR", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[94.0, 2.0], [184.0, 0.0], [184.0, 13.0], [94.0, 16.0]], ('ELOT SETCCO', 0.6121059060096741)], [[[96.0, 11.0], [162.0, 11.0], [162.0, 22.0], [96.0, 22.0]], ('14ELLIOT STE', 0.7887642979621887)], [[[93.0, 27.0], [196.0, 24.0], [197.0, 36.0], [93.0, 40.0]], ('DOURGAS PRICES DAILY', 0.7666317224502563)], [[[96.0, 19.0], [159.0, 19.0], [159.0, 30.0], [96.0, 30.0]], ('NEMTON.MA0246', 0.7097231149673462)], [[[93.0, 36.0], [213.0, 29.0], [214.0, 43.0], [93.0, 50.0]], ('**LIOSOCO.CO02461', 0.6860669255256653)], [[[128.0, 61.0], [216.0, 55.0], [217.0, 68.0], [129.0, 73.0]], ('12/25/20167:33:51PM', 0.9099380970001221)], [[[91.0, 105.0], [177.0, 104.0], [177.0, 115.0], [91.0, 116.0]], ('FUEL PRICE CONVERSION', 0.9164140820503235)], [[[91.0, 122.0], [175.0, 122.0], [175.0, 134.0], [91.0, 134.0]], ('**DISPENSEDAS**', 0.8100784420967102)], [[[89.0, 139.0], [185.0, 138.0], [185.0, 152.0], [89.0, 153.0]], ('4.203G4L2.379/AL', 0.8858574628829956)], [[[90.0, 132.0], [174.0, 130.0], [174.0, 141.0], [90.0, 142.0]], ('REGULAR CRPUP5', 0.8195911049842834)], [[[216.0, 137.0], [263.0, 134.0], [264.0, 148.0], [217.0, 151.0]], ('$10.0099', 0.9790856242179871)], [[[91.0, 152.0], [110.0, 152.0], [110.0, 160.0], [91.0, 160.0]], ('Vold', 0.8394330143928528)], [[[214.0, 147.0], [263.0, 143.0], [264.0, 157.0], [215.0, 160.0]], ('$10.0099', 0.9780867099761963)], [[[88.0, 167.0], [174.0, 167.0], [174.0, 180.0], [88.0, 180.0]], ('CONVERTED TO***', 0.8398101925849915)], [[[88.0, 178.0], [177.0, 178.0], [177.0, 191.0], [88.0, 191.0]], ('REGULAR CA PUMP5', 0.8734917640686035)], [[[88.0, 188.0], [185.0, 188.0], [185.0, 201.0], [88.0, 201.0]], ('4.203GA2.279/5AL', 0.8824076652526855)], [[[222.0, 185.0], [266.0, 183.0], [267.0, 197.0], [223.0, 199.0]], ('$9.5899', 0.9625896215438843)], [[[167.0, 209.0], [213.0, 209.0], [213.0, 218.0], [167.0, 218.0]], ('Subtotal-=', 0.8888141512870789)], [[[224.0, 207.0], [249.0, 207.0], [249.0, 218.0], [224.0, 218.0]], ('856$', 0.7809725403785706)], [[[184.0, 218.0], [214.0, 218.0], [214.0, 229.0], [184.0, 229.0]], ('Tax:', 0.6447908878326416)], [[[225.0, 217.0], [250.0, 217.0], [250.0, 228.0], [225.0, 228.0]], ('$0.00', 0.9941498041152954)], [[[180.0, 239.0], [215.0, 239.0], [215.0, 250.0], [180.0, 250.0]], ('Total=', 0.9485484957695007)], [[[226.0, 237.0], [251.0, 237.0], [251.0, 249.0], [226.0, 249.0]], ('$9.58', 0.9882513880729675)], [[[155.0, 261.0], [215.0, 261.0], [215.0, 272.0], [155.0, 272.0]], ('Change Due ', 0.895768404006958)], [[[222.0, 260.0], [253.0, 260.0], [253.0, 271.0], [222.0, 271.0]], ('$-0.42', 0.9763559699058533)], [[[83.0, 284.0], [105.0, 284.0], [105.0, 296.0], [83.0, 296.0]], ('Cash', 0.9955048561096191)], [[[223.0, 281.0], [255.0, 281.0], [255.0, 295.0], [223.0, 295.0]], ('$10.00', 0.9930240511894226)]]
{"store_name": "", "store_addr": "14ELLIOTSTREET", "telephone": "", "date": "12/25/2015", "time": "7:33:51PM", "subtotal": "$9.58", "tax": "$0.00", "total": "$9.58", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "REGULARCAPUMP#5", "item_value": "$9.58", "item_quantity": "1"}, {"item_key": "", "item_name": "RESULARCRPUMP#5", "item_value": "$10.00", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[113.0, 4.0], [250.0, 8.0], [249.0, 27.0], [113.0, 22.0]], ('Cashier:Sadie', 0.9587021470069885)], [[[106.0, 49.0], [301.0, 52.0], [301.0, 77.0], [106.0, 73.0]], ('Transaction 201382', 0.9642199277877808)], [[[96.0, 88.0], [113.0, 88.0], [113.0, 107.0], [96.0, 107.0]], ('7', 0.9146929383277893)], [[[138.0, 91.0], [189.0, 97.0], [187.0, 119.0], [136.0, 114.0]], ('Gyro', 0.9948636293411255)], [[[496.0, 88.0], [557.0, 88.0], [557.0, 109.0], [496.0, 109.0]], ('$7.95', 0.9973773956298828)], [[[94.0, 107.0], [111.0, 107.0], [111.0, 127.0], [94.0, 127.0]], ('7', 0.8803393840789795)], [[[137.0, 113.0], [187.0, 116.0], [186.0, 135.0], [136.0, 133.0]], ('Gyro', 0.9967375993728638)], [[[497.0, 112.0], [558.0, 109.0], [559.0, 130.0], [498.0, 133.0]], ('$7.95', 0.9960950016975403)], [[[263.0, 138.0], [556.0, 134.0], [556.0, 155.0], [264.0, 159.0]], ('ADD ONION RINGS INSTEAD', 0.9574936032295227)], [[[85.0, 176.0], [102.0, 176.0], [102.0, 198.0], [85.0, 198.0]], ('7', 0.7491356134414673)], [[[130.0, 182.0], [313.0, 185.0], [313.0, 206.0], [130.0, 203.0]], ('greek salad small', 0.9576441645622253)], [[[503.0, 181.0], [567.0, 178.0], [568.0, 201.0], [504.0, 204.0]], ('$4.85', 0.9969643354415894)], [[[84.0, 203.0], [101.0, 203.0], [101.0, 225.0], [84.0, 225.0]], ('?', 0.5137569308280945)], [[[129.0, 208.0], [283.0, 208.0], [283.0, 229.0], [129.0, 229.0]], ('Canned Drinks', 0.9619080424308777)], [[[505.0, 205.0], [572.0, 201.0], [573.0, 226.0], [506.0, 230.0]], ('$2.60', 0.9977635145187378)], [[[79.0, 255.0], [175.0, 255.0], [175.0, 277.0], [79.0, 277.0]], ('Subtotal', 0.9759086966514587)], [[[496.0, 256.0], [575.0, 253.0], [576.0, 276.0], [497.0, 278.0]], ('$23.35', 0.9970449805259705)], [[[76.0, 281.0], [116.0, 281.0], [116.0, 303.0], [76.0, 303.0]], ('Tax', 0.5948160886764526)], [[[512.0, 281.0], [581.0, 281.0], [581.0, 306.0], [512.0, 306.0]], ('$2.76', 0.9985723495483398)], [[[68.0, 332.0], [129.0, 332.0], [129.0, 357.0], [68.0, 357.0]], ('Total', 0.9981950521469116)], [[[503.0, 335.0], [585.0, 335.0], [585.0, 361.0], [503.0, 361.0]], ('$26.11', 0.9974389672279358)], [[[63.0, 374.0], [295.0, 374.0], [295.0, 394.0], [63.0, 394.0]], ('CREDIT CARD AUTH', 0.9396612644195557)], [[[507.0, 376.0], [590.0, 374.0], [591.0, 400.0], [508.0, 403.0]], ('$26.17', 0.9163627624511719)], [[[57.0, 401.0], [291.0, 404.0], [291.0, 425.0], [56.0, 423.0]], ('MASTERCARD8724', 0.9922966361045837)], [[[420.0, 426.0], [504.0, 419.0], [506.0, 446.0], [423.0, 453.0]], ('TIP', 0.6302614808082581)], [[[46.0, 454.0], [90.0, 461.0], [86.0, 494.0], [41.0, 487.0]], ('Tip', 0.9939036965370178)], [[[418.0, 457.0], [606.0, 449.0], [608.0, 478.0], [419.0, 485.0]], ('CITIZENS', 0.9134476184844971)], [[[32.0, 520.0], [100.0, 522.0], [99.0, 552.0], [31.0, 549.0]], ('Total', 0.9916755557060242)], [[[23.0, 608.0], [60.0, 608.0], [60.0, 615.0], [23.0, 615.0]], ('.ohn', 0.848380446434021)]]
{"store_name": "", "store_addr": "", "telephone": "", "date": "15Aug-2016", "time": "12:01:70P", "subtotal": "$23.35", "tax": "$2.76", "total": "$26.11 $26.11", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "CannedDrinks", "item_value": "$2.60", "item_quantity": "1"}, {"item_key": "", "item_name": "greeksaladsmall", "item_value": "$4.85", "item_quantity": "1"}, {"item_key": "", "item_name": "Gyro", "item_value": "$7.95", "item_quantity": "1"}, {"item_key": "", "item_name": "Gyro", "item_value": "$7.95", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[115.0, 81.0], [174.0, 87.0], [173.0, 101.0], [114.0, 95.0]], ('SHAKE SHACK', 0.9678143858909607)], [[[41.0, 99.0], [101.0, 103.0], [100.0, 116.0], [40.0, 112.0]], ('HostAmber', 0.9455315470695496)], [[[106.0, 91.0], [189.0, 95.0], [189.0, 112.0], [105.0, 108.0]], ('332 North Garden', 0.9221439361572266)], [[[40.0, 110.0], [87.0, 114.0], [86.0, 127.0], [39.0, 123.0]], ('53.STEVE', 0.9094816446304321)], [[[197.0, 102.0], [250.0, 94.0], [252.0, 108.0], [199.0, 116.0]], ('07/14/2017', 0.9962083697319031)], [[[209.0, 112.0], [251.0, 106.0], [253.0, 120.0], [211.0, 126.0]], ('12:56PM', 0.9255451560020447)], [[[223.0, 121.0], [252.0, 118.0], [253.0, 132.0], [225.0, 135.0]], ('10017', 0.9985111355781555)], [[[39.0, 144.0], [101.0, 149.0], [100.0, 163.0], [38.0, 158.0]], ('ShackBurger', 0.9940866231918335)], [[[229.0, 143.0], [255.0, 140.0], [257.0, 155.0], [231.0, 158.0]], ('5.39', 0.9944150447845459)], [[[39.0, 157.0], [107.0, 161.0], [106.0, 175.0], [38.0, 172.0]], ('french fries', 0.9523985385894775)], [[[231.0, 156.0], [257.0, 153.0], [259.0, 167.0], [232.0, 170.0]], ('2.99', 0.9917483329772949)], [[[39.0, 170.0], [70.0, 173.0], [69.0, 185.0], [38.0, 183.0]], ('Shake', 0.9971911311149597)], [[[234.0, 168.0], [258.0, 168.0], [258.0, 180.0], [234.0, 180.0]], ('5.29', 0.9955919981002808)], [[[48.0, 182.0], [132.0, 184.0], [131.0, 198.0], [48.0, 196.0]], ('Chocolate Shake', 0.9731866717338562)], [[[48.0, 195.0], [123.0, 197.0], [123.0, 211.0], [48.0, 209.0]], ('Whipped Cream', 0.9344185590744019)], [[[236.0, 192.0], [261.0, 192.0], [261.0, 204.0], [236.0, 204.0]], ('0.50', 0.9953118562698364)], [[[36.0, 221.0], [84.0, 221.0], [84.0, 235.0], [36.0, 235.0]], ('Subtotal', 0.9886703491210938)], [[[232.0, 216.0], [263.0, 214.0], [264.0, 228.0], [233.0, 230.0]], ('14.17', 0.9919398427009583)], [[[37.0, 232.0], [57.0, 235.0], [55.0, 248.0], [35.0, 246.0]], ('Tax', 0.9927224516868591)], [[[239.0, 228.0], [266.0, 228.0], [266.0, 243.0], [239.0, 243.0]], ('1.03', 0.9952636957168579)], [[[35.0, 260.0], [177.0, 257.0], [178.0, 272.0], [36.0, 275.0]], ('To Stay Total', 0.9521417021751404)], [[[211.0, 256.0], [265.0, 253.0], [266.0, 268.0], [212.0, 271.0]], ('15.20', 0.9986246824264526)], [[[33.0, 288.0], [60.0, 288.0], [60.0, 303.0], [33.0, 303.0]], ('Cash', 0.9960970878601074)], [[[239.0, 281.0], [271.0, 281.0], [271.0, 296.0], [239.0, 296.0]], ('20.00', 0.9945249557495117)], [[[33.0, 319.0], [103.0, 316.0], [104.0, 331.0], [33.0, 334.0]], ('Change', 0.9972407817840576)], [[[225.0, 311.0], [272.0, 308.0], [273.0, 323.0], [226.0, 326.0]], ('4.80', 0.996559202671051)], [[[58.0, 346.0], [247.0, 338.0], [248.0, 355.0], [59.0, 363.0]], ('In it to win it! Take our survey', 0.9531529545783997)], [[[42.0, 364.0], [258.0, 353.0], [259.0, 367.0], [43.0, 378.0]], ('For a chance to win $50 at the Shack.', 0.9297586679458618)], [[[63.0, 377.0], [244.0, 367.0], [245.0, 384.0], [64.0, 394.0]], ('http://bit.ly/shack-survey2017', 0.9705148935317993)], [[[96.0, 407.0], [216.0, 402.0], [216.0, 419.0], [96.0, 424.0]], ('---Check Closed--', 0.8658522367477417)]]
{"store_name": "SHAKESHACK", "store_addr": "332NorthGarden", "telephone": "", "date": "07/14/2017", "time": "12:56PM", "subtotal": "14.17", "tax": "1.03", "total": "15.20", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "WhippedCream", "item_value": "5.39", "item_quantity": "1"}, {"item_key": "", "item_name": "ChocolateShake", "item_value": "2.99", "item_quantity": "1"}, {"item_key": "", "item_name": "Shake", "item_value": "5.29", "item_quantity": "1"}, {"item_key": "", "item_name": "frenchfries", "item_value": "0.50", "item_quantity": "1"}, {"item_key": "", "item_name": "ShackBurger", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[82.0, 37.0], [111.0, 41.0], [110.0, 51.0], [81.0, 47.0]], ('anvere', 0.5152359008789062)], [[[78.0, 47.0], [118.0, 54.0], [116.0, 65.0], [76.0, 58.0]], ('Guests:1', 0.7111228704452515)], [[[77.0, 61.0], [170.0, 76.0], [168.0, 90.0], [75.0, 75.0]], ('TELLSHEREG', 0.7649823427200317)], [[[76.0, 85.0], [153.0, 100.0], [150.0, 113.0], [73.0, 98.0]], ('at your next visit', 0.8130849003791809)], [[[73.0, 118.0], [165.0, 134.0], [163.0, 148.0], [71.0, 132.0]], ('within the next 4 days', 0.8964194655418396)], [[[73.0, 135.0], [164.0, 151.0], [162.0, 165.0], [71.0, 148.0]], ('Your survey code:4012', 0.867162823677063)], [[[71.0, 171.0], [145.0, 182.0], [143.0, 196.0], [69.0, 185.0]], ('CLASSIC BREAKFAST', 0.9657066464424133)], [[[72.0, 163.0], [102.0, 168.0], [101.0, 179.0], [71.0, 174.0]], ('COFFEE', 0.9953026175498962)], [[[219.0, 179.0], [244.0, 179.0], [244.0, 191.0], [219.0, 191.0]], ('14.00', 0.988293468952179)], [[[222.0, 170.0], [243.0, 170.0], [243.0, 181.0], [222.0, 181.0]], ('3.25', 0.974632978439331)], [[[79.0, 183.0], [146.0, 192.0], [144.0, 205.0], [77.0, 196.0]], ('EGG HITES ONLY', 0.8293859362602234)], [[[222.0, 188.0], [244.0, 188.0], [244.0, 200.0], [222.0, 200.0]], ('0.99', 0.9661287069320679)], [[[69.0, 201.0], [145.0, 212.0], [143.0, 225.0], [68.0, 215.0]], ('Complete Subtotal', 0.890577495098114)], [[[219.0, 206.0], [246.0, 208.0], [245.0, 219.0], [218.0, 217.0]], ('18.24', 0.8849735260009766)], [[[66.0, 256.0], [108.0, 260.0], [107.0, 274.0], [65.0, 270.0]], ('Subtotal', 0.9927250146865845)], [[[223.0, 258.0], [250.0, 258.0], [250.0, 269.0], [223.0, 269.0]], ('18.24', 0.9875149726867676)], [[[67.0, 268.0], [86.0, 271.0], [84.0, 283.0], [65.0, 280.0]], ('Tax', 0.9915010333061218)], [[[227.0, 269.0], [250.0, 269.0], [250.0, 280.0], [227.0, 280.0]], ('160', 0.9681832194328308)], [[[64.0, 291.0], [94.0, 294.0], [92.0, 308.0], [63.0, 305.0]], ('Total', 0.9938608407974243)], [[[227.0, 291.0], [252.0, 291.0], [252.0, 303.0], [227.0, 303.0]], ('19.15', 0.9908571243286133)], [[[64.0, 318.0], [168.0, 318.0], [168.0, 331.0], [64.0, 331.0]], ('Ba lance Due', 0.9048685431480408)], [[[183.0, 316.0], [252.0, 313.0], [253.0, 327.0], [184.0, 330.0]], ('$19.15', 0.967203676700592)], [[[94.0, 365.0], [219.0, 363.0], [219.0, 380.0], [94.0, 382.0]], ('We Appreciate Your Business', 0.9238640069961548)], [[[117.0, 377.0], [199.0, 376.0], [199.0, 391.0], [117.0, 392.0]], ('Enjoy Your Flight', 0.9181181192398071)], [[[107.0, 389.0], [204.0, 387.0], [205.0, 405.0], [108.0, 407.0]], ('GST.821972338RT0001', 0.8848713040351868)]]
{"store_name": "", "store_addr": "", "telephone": "", "date": "", "time": "8:57AM", "subtotal": "18.24 18.24", "tax": "0.91", "total": "19.15 $19.15", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "COFFEE", "item_value": "3.25", "item_quantity": "1"}, {"item_key": "", "item_name": "CLASSICBREAKFAST", "item_value": "14.00", "item_quantity": "1"}, {"item_key": "", "item_name": "EGGWHITESONLY", "item_value": "0.99", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[54.0, 27.0], [114.0, 27.0], [114.0, 41.0], [54.0, 41.0]], ('FARZI CAFE', 0.9566346406936646)], [[[50.0, 43.0], [150.0, 43.0], [150.0, 56.0], [50.0, 56.0]], ('G ', 0.5115782022476196)], [[[65.0, 54.0], [135.0, 52.0], [136.0, 62.0], [65.0, 64.0]], ('Te1No 043942556', 0.8615521788597107)], [[[19.0, 70.0], [143.0, 69.0], [143.0, 82.0], [19.0, 83.0]], ('RDERDATE07/01/2017729PH', 0.8607586622238159)], [[[66.0, 63.0], [109.0, 63.0], [109.0, 74.0], [66.0, 74.0]], ('DINE IN', 0.9316180348396301)], [[[18.0, 108.0], [112.0, 108.0], [112.0, 122.0], [18.0, 122.0]], ('07/01/20178:27PH5', 0.8659098148345947)], [[[85.0, 102.0], [100.0, 102.0], [100.0, 109.0], [85.0, 109.0]], ('PAY', 0.8958615660667419)], [[[20.0, 143.0], [91.0, 143.0], [91.0, 154.0], [20.0, 154.0]], ('WAITER Hanish', 0.8991501927375793)], [[[19.0, 161.0], [36.0, 161.0], [36.0, 172.0], [19.0, 172.0]], ('aty', 0.9321679472923279)], [[[47.0, 162.0], [88.0, 162.0], [88.0, 173.0], [47.0, 173.0]], ('Menu Iten', 0.9005405902862549)], [[[144.0, 159.0], [173.0, 159.0], [173.0, 170.0], [144.0, 170.0]], ('Amount', 0.8710260391235352)], [[[17.0, 180.0], [27.0, 180.0], [27.0, 190.0], [17.0, 190.0]], ('1', 0.9281891584396362)], [[[53.0, 180.0], [110.0, 180.0], [110.0, 191.0], [53.0, 191.0]], ('TANDOORI WILD', 0.8792423605918884)], [[[53.0, 190.0], [93.0, 190.0], [93.0, 201.0], [53.0, 201.0]], ('MUSHROOMS', 0.9452014565467834)], [[[157.0, 187.0], [181.0, 187.0], [181.0, 198.0], [157.0, 198.0]], ('35.00', 0.9949710965156555)], [[[51.0, 200.0], [121.0, 198.0], [122.0, 209.0], [52.0, 211.0]], ('CHERMOULA FISHN', 0.8484730124473572)], [[[53.0, 210.0], [83.0, 210.0], [83.0, 221.0], [53.0, 221.0]], ('CHIPS', 0.9892321825027466)], [[[158.0, 206.0], [183.0, 206.0], [183.0, 217.0], [158.0, 217.0]], ('35.00', 0.9899352788925171)], [[[51.0, 218.0], [134.0, 214.0], [135.0, 228.0], [52.0, 232.0]], ('DAL CHANAL ARANCINI', 0.8424010276794434)], [[[159.0, 216.0], [183.0, 216.0], [183.0, 227.0], [159.0, 227.0]], ('27.00', 0.9866707921028137)], [[[51.0, 228.0], [123.0, 226.0], [124.0, 239.0], [52.0, 241.0]], ('SHANARHA BIRYANI', 0.8689823150634766)], [[[159.0, 226.0], [183.0, 224.0], [184.0, 236.0], [160.0, 238.0]], ('45.00', 0.9842592477798462)], [[[17.0, 241.0], [27.0, 241.0], [27.0, 251.0], [17.0, 251.0]], ('1', 0.904666543006897)], [[[52.0, 240.0], [110.0, 238.0], [111.0, 249.0], [53.0, 251.0]], ('CHICKEN TIKKA', 0.9412791132926941)], [[[53.0, 250.0], [85.0, 250.0], [85.0, 260.0], [53.0, 260.0]], ('MASALA', 0.92718505859375)], [[[161.0, 245.0], [186.0, 245.0], [186.0, 257.0], [161.0, 257.0]], ('45.00', 0.9887655377388)], [[[17.0, 263.0], [26.0, 263.0], [26.0, 271.0], [17.0, 271.0]], ('1', 0.8710071444511414)], [[[52.0, 260.0], [95.0, 260.0], [95.0, 271.0], [52.0, 271.0]], ('DIRT PILE', 0.9494669437408447)], [[[161.0, 256.0], [187.0, 256.0], [187.0, 267.0], [161.0, 267.0]], ('51.00', 0.9943127632141113)], [[[17.0, 273.0], [26.0, 273.0], [26.0, 281.0], [17.0, 281.0]], ('1', 0.7579495310783386)], [[[50.0, 269.0], [116.0, 267.0], [117.0, 281.0], [51.0, 283.0]], ('RISOTTO PHIRNI', 0.9317734837532043)], [[[52.0, 281.0], [78.0, 281.0], [78.0, 292.0], [52.0, 292.0]], ('301X0', 0.911880612373352)], [[[164.0, 276.0], [189.0, 276.0], [189.0, 287.0], [164.0, 287.0]], ('47.00', 0.9923036694526672)], [[[47.0, 312.0], [74.0, 312.0], [74.0, 327.0], [47.0, 327.0]], ('Total', 0.9947910308837891)], [[[161.0, 307.0], [192.0, 307.0], [192.0, 321.0], [161.0, 321.0]], ('285.00', 0.9849873185157776)], [[[46.0, 337.0], [100.0, 333.0], [101.0, 347.0], [47.0, 351.0]], ('Grand Total', 0.9382703304290771)], [[[164.0, 331.0], [194.0, 331.0], [194.0, 343.0], [164.0, 343.0]], ('285.00', 0.9875900745391846)], [[[15.0, 362.0], [190.0, 353.0], [191.0, 366.0], [15.0, 375.0]], ('Thank You for Choosing Farzi Cafe.!', 0.9223682880401611)]]
{"store_name": "FARZICAFE", "store_addr": "", "telephone": "043942556", "date": "07/01/2017 07/01/2017", "time": "8:27PM", "subtotal": "285.00", "tax": "", "total": "285.00", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "MUSHROOMS", "item_value": "35.00", "item_quantity": "1"}, {"item_key": "", "item_name": "CHERMOULAFISHM", "item_value": "35.00", "item_quantity": "1"}, {"item_key": "", "item_name": "CHIPS", "item_value": "27.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SHAWARMABIRYANI", "item_value": "45.00", "item_quantity": "1"}, {"item_key": "", "item_name": "CHICKENTIKKA", "item_value": "45.00", "item_quantity": "1"}, {"item_key": "", "item_name": "MASALA", "item_value": "51.00", "item_quantity": "1"}, {"item_key": "", "item_name": "DIRTPILE", "item_value": "47.00", "item_quantity": "1"}, {"item_key": "", "item_name": "RISOTTOPHIRNI", "item_value": "", "item_quantity": ""}, {"item_key": "MenuItem", "item_name": "", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[127.0, 26.0], [468.0, 32.0], [467.0, 74.0], [127.0, 68.0]], ('LQUSTAGOU', 0.9213153123855591)], [[[51.0, 83.0], [576.0, 87.0], [576.0, 126.0], [51.0, 121.0]], ('RESTAURANT AUVERGNAT', 0.9718433618545532)], [[[209.0, 131.0], [420.0, 134.0], [420.0, 159.0], [208.0, 156.0]], ('1 Rue du terrail', 0.902779221534729)], [[[34.0, 163.0], [300.0, 164.0], [300.0, 192.0], [34.0, 190.0]], ('Table:114', 0.8687891364097595)], [[[473.0, 167.0], [596.0, 167.0], [596.0, 195.0], [473.0, 195.0]], ('Client:1', 0.9404024481773376)], [[[35.0, 198.0], [299.0, 199.0], [299.0, 223.0], [35.0, 222.0]], ('2411/2009', 0.9419233798980713)], [[[34.0, 231.0], [342.0, 231.0], [342.0, 257.0], [34.0, 257.0]], ('Facture:21955Trans*', 0.9711772799491882)], [[[460.0, 232.0], [556.0, 232.0], [556.0, 261.0], [460.0, 261.0]], ('Term:1', 0.9203051924705505)], [[[33.0, 263.0], [447.0, 265.0], [447.0, 292.0], [33.0, 290.0]], ('Vous avez ete servi par:vALERIE', 0.9225069284439087)], [[[33.0, 363.0], [192.0, 363.0], [192.0, 390.0], [33.0, 390.0]], ('4Couverts', 0.99312824010849)], [[[31.0, 394.0], [91.0, 394.0], [91.0, 425.0], [31.0, 425.0]], ('CAFE', 0.9985329508781433)], [[[354.0, 398.0], [488.0, 398.0], [488.0, 425.0], [354.0, 425.0]], ('1x1.75', 0.9694266319274902)], [[[539.0, 398.0], [597.0, 398.0], [597.0, 428.0], [539.0, 428.0]], ('1.75', 0.9906414747238159)], [[[34.0, 432.0], [259.0, 432.0], [259.0, 456.0], [34.0, 456.0]], ('SALADE AUVERGNATE', 0.9823562502861023)], [[[352.0, 432.0], [488.0, 432.0], [488.0, 459.0], [352.0, 459.0]], ('2x7.80', 0.9746155738830566)], [[[528.0, 432.0], [597.0, 432.0], [597.0, 461.0], [528.0, 461.0]], ('15.60', 0.9969395399093628)], [[[33.0, 462.0], [142.0, 462.0], [142.0, 490.0], [33.0, 490.0]], ('TRUFFADE', 0.9946609735488892)], [[[354.0, 463.0], [486.0, 466.0], [485.0, 494.0], [353.0, 492.0]], ('1x15.00', 0.9871581792831421)], [[[528.0, 466.0], [597.0, 466.0], [597.0, 494.0], [528.0, 494.0]], ('15.00', 0.9950317144393921)], [[[34.0, 498.0], [234.0, 498.0], [234.0, 521.0], [34.0, 521.0]], ('SAUCISSE ALIGOT', 0.9675272107124329)], [[[353.0, 499.0], [486.0, 499.0], [486.0, 526.0], [353.0, 526.0]], ('1x15.00', 0.9851239919662476)], [[[527.0, 499.0], [596.0, 499.0], [596.0, 527.0], [527.0, 527.0]], ('15.00', 0.9967744946479797)], [[[32.0, 527.0], [222.0, 529.0], [222.0, 557.0], [32.0, 554.0]], ('COUPELOU BOUR', 0.958818793296814)], [[[352.0, 532.0], [487.0, 532.0], [487.0, 559.0], [352.0, 559.0]], ('3x6.00', 0.9847464561462402)], [[[528.0, 533.0], [596.0, 533.0], [596.0, 561.0], [528.0, 561.0]], ('18.00', 0.9978213310241699)], [[[32.0, 593.0], [138.0, 595.0], [138.0, 624.0], [31.0, 621.0]], ('Sous', 0.8812980055809021)], [[[166.0, 595.0], [292.0, 595.0], [292.0, 623.0], [166.0, 623.0]], ('Total', 0.9872105717658997)], [[[432.0, 596.0], [591.0, 599.0], [591.0, 626.0], [431.0, 623.0]], ('65.35', 0.9891654849052429)], [[[43.0, 661.0], [154.0, 661.0], [154.0, 688.0], [43.0, 688.0]], ('Dont TVA', 0.9645227193832397)], [[[174.0, 658.0], [276.0, 658.0], [276.0, 690.0], [174.0, 690.0]], ('5.5%', 0.9939068555831909)], [[[308.0, 661.0], [370.0, 661.0], [370.0, 690.0], [308.0, 690.0]], ('0.90', 0.997199296951294)], [[[69.0, 695.0], [154.0, 695.0], [154.0, 720.0], [69.0, 720.0]], ('H.TAXE', 0.9893527030944824)], [[[174.0, 694.0], [274.0, 694.0], [274.0, 722.0], [174.0, 722.0]], ('5.5%', 0.9904828667640686)], [[[298.0, 695.0], [369.0, 695.0], [369.0, 723.0], [298.0, 723.0]], ('16.45', 0.988664984703064)], [[[43.0, 728.0], [155.0, 728.0], [155.0, 755.0], [43.0, 755.0]], ('Dont TVA', 0.9616057872772217)], [[[174.0, 728.0], [275.0, 728.0], [275.0, 756.0], [174.0, 756.0]], ('55%', 0.9872522354125977)], [[[307.0, 728.0], [369.0, 728.0], [369.0, 757.0], [307.0, 757.0]], ('2.50', 0.9964910745620728)], [[[70.0, 762.0], [154.0, 762.0], [154.0, 787.0], [70.0, 787.0]], ('H.TAXE', 0.9875252842903137)], [[[175.0, 759.0], [281.0, 762.0], [280.0, 790.0], [174.0, 787.0]], ('5.5%', 0.9395007491111755)], [[[294.0, 762.0], [368.0, 762.0], [368.0, 790.0], [294.0, 790.0]], ('45.50', 0.9958130717277527)], [[[166.0, 832.0], [444.0, 835.0], [444.0, 875.0], [165.0, 871.0]], ('MERCI DE VOTRE VISITE', 0.9540162682533264)], [[[241.0, 885.0], [365.0, 885.0], [365.0, 930.0], [241.0, 930.0]], ('A BIENTOT', 0.9741504192352295)], [[[188.0, 933.0], [248.0, 933.0], [248.0, 962.0], [188.0, 962.0]], ('TEL:', 0.9640682339668274)], [[[286.0, 934.0], [432.0, 936.0], [431.0, 963.0], [285.0, 961.0]], ('.90.72.01', 0.9847040176391602)], [[[151.0, 1000.0], [456.0, 1002.0], [456.0, 1028.0], [151.0, 1026.0]], ('SIRET:492220884 00018', 0.9505041837692261)], [[[186.0, 1036.0], [433.0, 1036.0], [433.0, 1063.0], [186.0, 1063.0]], ('Service compris 7%', 0.9339325428009033)]]
{"store_name": "RESTAURANTAUVERGNAT L'OUSTAGOU", "store_addr": "1Rueduterrail", "telephone": ".90.72.01", "date": "24/11/2009", "time": "", "subtotal": "\u20ac65.35", "tax": "2.50 0.90", "total": "", "ignore": " Facture:21955Trans:* Term:1 Client:1", "tips": "", "line_items": [{"item_key": "", "item_name": "COUPELOUBOUR", "item_value": "18.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SAUCISSEALIGOT", "item_value": "15.00", "item_quantity": "1"}, {"item_key": "", "item_name": "TRUFFADE", "item_value": "15.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SALADEAUVERGNATE", "item_value": "15.60", "item_quantity": "1"}, {"item_key": "", "item_name": "CAFE", "item_value": "1.75", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[142.0, 31.0], [268.0, 30.0], [268.0, 44.0], [142.0, 45.0]], ('BEO BATH &8EYOND#82', 0.824384868144989)], [[[124.0, 46.0], [292.0, 43.0], [292.0, 59.0], [125.0, 62.0]], ('8005 PARK LANECARUTH PLAZ', 0.8892960548400879)], [[[159.0, 62.0], [254.0, 59.0], [254.0, 73.0], [160.0, 76.0]], ('DALLAS.TX75231', 0.8918957710266113)], [[[164.0, 76.0], [252.0, 72.0], [253.0, 89.0], [165.0, 93.0]], ('215692-1778', 0.9064227938652039)], [[[96.0, 102.0], [313.0, 100.0], [313.0, 117.0], [96.0, 119.0]], ('00082 10 11/27/11-1442 442592 08-4331', 0.915632426738739)], [[[114.0, 135.0], [148.0, 135.0], [148.0, 146.0], [114.0, 146.0]], ('RUN', 0.7649087309837341)], [[[98.0, 165.0], [194.0, 165.0], [194.0, 178.0], [98.0, 178.0]], ('CAFE LATTE MRCOF', 0.9219175577163696)], [[[243.0, 163.0], [259.0, 163.0], [259.0, 176.0], [243.0, 176.0]], ('17', 0.985075056552887)], [[[99.0, 179.0], [229.0, 179.0], [229.0, 192.0], [99.0, 192.0]], ('72179231900UR2RICE', 0.8807684779167175)], [[[265.0, 176.0], [302.0, 176.0], [302.0, 191.0], [265.0, 191.0]], ('6666', 0.9780193567276001)], [[[100.0, 197.0], [202.0, 197.0], [202.0, 207.0], [100.0, 207.0]], ('IRON BRD EASY BLU', 0.8815855383872986)], [[[98.0, 210.0], [230.0, 210.0], [230.0, 223.0], [98.0, 223.0]], ('44444439250OUR PRICE', 0.9527080655097961)], [[[265.0, 208.0], [301.0, 206.0], [302.0, 221.0], [266.0, 223.0]], ('16.99', 0.9721245765686035)], [[[138.0, 225.0], [190.0, 225.0], [190.0, 239.0], [138.0, 239.0]], ('SUBTOTAL', 0.9863184094429016)], [[[262.0, 222.0], [302.0, 222.0], [302.0, 237.0], [262.0, 237.0]], ('116.98', 0.9847121834754944)], [[[139.0, 255.0], [248.0, 254.0], [248.0, 268.0], [139.0, 269.0]], ('TX8.25S9LES 1AX', 0.7736619114875793)], [[[272.0, 254.0], [302.0, 254.0], [302.0, 268.0], [272.0, 268.0]], ('996', 0.9453920722007751)], [[[139.0, 271.0], [171.0, 271.0], [171.0, 285.0], [139.0, 285.0]], ('TOTAL', 0.9938513040542603)], [[[264.0, 269.0], [303.0, 269.0], [303.0, 283.0], [264.0, 283.0]], ('126.63', 0.9657962322235107)], [[[140.0, 302.0], [168.0, 302.0], [168.0, 315.0], [140.0, 315.0]], ('VISA', 0.9595087170600891)], [[[265.0, 299.0], [304.0, 299.0], [304.0, 313.0], [265.0, 313.0]], ('126.63', 0.9877889752388)], [[[138.0, 316.0], [178.0, 316.0], [178.0, 330.0], [138.0, 330.0]], ('ACCT#', 0.9795696139335632)], [[[278.0, 313.0], [305.0, 313.0], [305.0, 328.0], [278.0, 328.0]], ('(S)', 0.7625861167907715)], [[[139.0, 332.0], [215.0, 332.0], [215.0, 346.0], [139.0, 346.0]], ('EXPDTXX/XX', 0.9417926073074341)], [[[138.0, 347.0], [220.0, 345.0], [220.0, 359.0], [139.0, 361.0]], ('AUTH04776C', 0.9689159393310547)], [[[138.0, 379.0], [179.0, 377.0], [180.0, 391.0], [139.0, 393.0]], ('CHANGE', 0.9973862767219543)], [[[286.0, 375.0], [306.0, 375.0], [306.0, 391.0], [286.0, 391.0]], ('00', 0.9670383334159851)], [[[116.0, 484.0], [150.0, 484.0], [150.0, 498.0], [116.0, 498.0]], ('RUN#', 0.797818660736084)], [[[98.0, 516.0], [324.0, 512.0], [325.0, 526.0], [99.0, 530.0]], ('THANKS FOR SHOPPING BEO BATH & BEYOND', 0.91209876537323)], [[[97.0, 533.0], [320.0, 530.0], [320.0, 544.0], [97.0, 547.0]], ('Visit us at wwu.bedbathandbeyond.com', 0.909713625907898)], [[[143.0, 548.0], [273.0, 547.0], [273.0, 561.0], [143.0, 562.0]], ('GIFT CARDS AVAILABLE', 0.96173095703125)], [[[98.0, 565.0], [326.0, 562.0], [326.0, 576.0], [98.0, 579.0]], ('ORIGINAL RECEIPT REQUIRED FOR REFUNDS', 0.9494480490684509)], [[[98.0, 581.0], [324.0, 578.0], [324.0, 592.0], [98.0, 595.0]], ('00082 10 11/27/11-1442 44259208-4331', 0.9467087984085083)]]
{"store_name": "BEDBATH&BEYOND#82", "store_addr": "DALLAS,TX75231 8005PARK,LANE,CARUTHPLAZA", "telephone": "(216)692-1778", "date": "", "time": "", "subtotal": "116.98", "tax": "9.65", "total": "126.63 126.63", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "IRONBRDEASYBLU", "item_value": "99.99", "item_quantity": "1"}, {"item_key": "", "item_name": "CAFELATTEMRCDF", "item_value": "16.99", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[102.0, 17.0], [213.0, 18.0], [213.0, 29.0], [102.0, 28.0]], ('54thF1oor 1DrP0 8x187', 0.729716956615448)], [[[146.0, 14.0], [167.0, 14.0], [167.0, 21.0], [146.0, 21.0]], ('CAMIL', 0.8237799406051636)], [[[108.0, 27.0], [202.0, 27.0], [202.0, 37.0], [108.0, 37.0]], ('65 Nelltngtn Street Rest', 0.7751502990722656)], [[[135.0, 35.0], [179.0, 35.0], [179.0, 45.0], [135.0, 45.0]], ('Toronto.ON', 0.8161484599113464)], [[[142.0, 43.0], [171.0, 43.0], [171.0, 54.0], [142.0, 54.0]], ('MSK1H6', 0.6377900242805481)], [[[136.0, 59.0], [181.0, 59.0], [181.0, 70.0], [136.0, 70.0]], ('416.364.0054', 0.9625993371009827)], [[[83.0, 83.0], [172.0, 83.0], [172.0, 96.0], [83.0, 96.0]], ('Dete 10-09-158:11', 0.8599357604980469)], [[[84.0, 93.0], [144.0, 93.0], [144.0, 104.0], [84.0, 104.0]], ('ServerMichee', 0.8657476305961609)], [[[167.0, 85.0], [194.0, 85.0], [194.0, 95.0], [167.0, 95.0]], ('Slip:', 0.905644416809082)], [[[170.0, 93.0], [192.0, 93.0], [192.0, 104.0], [170.0, 104.0]], ('Trars:', 0.9415287971496582)], [[[194.0, 85.0], [232.0, 85.0], [232.0, 95.0], [194.0, 95.0]], ('3070056210', 0.9412391781806946)], [[[84.0, 101.0], [109.0, 101.0], [109.0, 112.0], [84.0, 112.0]], ('Table:', 0.9791231751441956)], [[[118.0, 102.0], [129.0, 102.0], [129.0, 111.0], [118.0, 111.0]], ('14', 0.9864813089370728)], [[[170.0, 101.0], [196.0, 101.0], [196.0, 112.0], [170.0, 112.0]], ('Gasts:', 0.7668275237083435)], [[[83.0, 115.0], [127.0, 118.0], [126.0, 129.0], [82.0, 126.0]], ('Cescr tptton', 0.8384670615196228)], [[[201.0, 118.0], [223.0, 118.0], [223.0, 126.0], [201.0, 126.0]], ('leount', 0.7146863341331482)], [[[83.0, 134.0], [110.0, 134.0], [110.0, 145.0], [83.0, 145.0]], ('-water', 0.9034155011177063)], [[[216.0, 129.0], [240.0, 129.0], [240.0, 153.0], [216.0, 153.0]], ('3.88', 0.7705063223838806)], [[[80.0, 148.0], [148.0, 150.0], [148.0, 164.0], [80.0, 162.0]], ('Smore Fole Gras', 0.8609169125556946)], [[[82.0, 140.0], [113.0, 143.0], [112.0, 154.0], [81.0, 151.0]], ('C-vater', 0.7375259399414062)], [[[82.0, 160.0], [135.0, 160.0], [135.0, 170.0], [82.0, 170.0]], ('FLshroos Soup', 0.838809072971344)], [[[82.0, 168.0], [134.0, 168.0], [134.0, 179.0], [82.0, 179.0]], ('[enoe Raw Bar', 0.8102585673332214)], [[[218.0, 163.0], [240.0, 163.0], [240.0, 175.0], [218.0, 175.0]], ('72.00', 0.9716280102729797)], [[[81.0, 176.0], [134.0, 176.0], [134.0, 187.0], [81.0, 187.0]], ('B1son Rib Eye', 0.8765841126441956)], [[[218.0, 171.0], [241.0, 171.0], [241.0, 183.0], [218.0, 183.0]], ('55.00', 0.9417115449905396)], [[[80.0, 185.0], [158.0, 183.0], [159.0, 194.0], [80.0, 196.0]], ('Staam Mhist le 16 0Z', 0.8274660110473633)], [[[222.0, 180.0], [242.0, 180.0], [242.0, 191.0], [222.0, 191.0]], ("00'8", 0.6392946243286133)], [[[78.0, 203.0], [175.0, 198.0], [176.0, 211.0], [78.0, 216.0]], ('Puskoka Crtan Ale 16 0Z', 0.7862343192100525)], [[[80.0, 194.0], [159.0, 192.0], [160.0, 203.0], [80.0, 205.0]], ('Fever Tree Lercnace', 0.8665988445281982)], [[[78.0, 211.0], [169.0, 208.0], [169.0, 221.0], [78.0, 224.0]], ('13th St 13 Below 2 0Z', 0.8551992774009705)], [[[223.0, 206.0], [245.0, 206.0], [245.0, 218.0], [223.0, 218.0]], ('10.00', 0.991388201713562)], [[[78.0, 220.0], [156.0, 217.0], [157.0, 231.0], [78.0, 234.0]], ('La1ley Syrah 602', 0.8643317222595215)], [[[223.0, 215.0], [246.0, 215.0], [246.0, 227.0], [223.0, 227.0]], ('17.00', 0.9821369051933289)], [[[78.0, 229.0], [184.0, 226.0], [184.0, 237.0], [78.0, 240.0]], ('0.25x Clcsson Chase Chard', 0.8731058239936829)], [[[224.0, 224.0], [247.0, 224.0], [247.0, 235.0], [224.0, 235.0]], ('21.25', 0.9764599800109863)], [[[225.0, 232.0], [248.0, 232.0], [248.0, 244.0], [225.0, 244.0]], ('12.00', 0.9909319877624512)], [[[75.0, 248.0], [147.0, 246.0], [147.0, 257.0], [75.0, 259.0]], ('Euttertart Medge', 0.9229913949966431)], [[[226.0, 242.0], [250.0, 242.0], [250.0, 253.0], [226.0, 253.0]], ('12.00', 0.984514057636261)], [[[74.0, 257.0], [187.0, 252.0], [187.0, 265.0], [74.0, 270.0]], ('Scuthbrook Vida1 Ice 2 0Z', 0.8748193979263306)], [[[227.0, 251.0], [252.0, 251.0], [252.0, 263.0], [227.0, 263.0]], ('13.00', 0.9330724477767944)], [[[74.0, 267.0], [125.0, 266.0], [125.0, 277.0], [74.0, 278.0]], ('Eenedictine', 0.9795075058937073)], [[[231.0, 261.0], [254.0, 261.0], [254.0, 272.0], [231.0, 272.0]], ('9.00', 0.9846073985099792)], [[[73.0, 287.0], [110.0, 287.0], [110.0, 298.0], [73.0, 298.0]], ('subtatal', 0.9210605621337891)], [[[225.0, 280.0], [255.0, 277.0], [256.0, 290.0], [226.0, 293.0]], ('293.75', 0.9864619374275208)], [[[70.0, 298.0], [116.0, 295.0], [116.0, 309.0], [71.0, 312.0]], ('Sles Tax', 0.9059067964553833)], [[[230.0, 291.0], [258.0, 291.0], [258.0, 302.0], [230.0, 302.0]], ('38.19', 0.984006404876709)], [[[229.0, 311.0], [263.0, 311.0], [263.0, 325.0], [229.0, 325.0]], ('331.94', 0.972366988658905)], [[[69.0, 321.0], [106.0, 321.0], [106.0, 332.0], [69.0, 332.0]], ('Balance', 0.9120345115661621)], [[[120.0, 341.0], [206.0, 336.0], [207.0, 350.0], [120.0, 355.0]], ('OLIVER&BONACINI', 0.93405681848526)], [[[138.0, 352.0], [193.0, 349.0], [193.0, 363.0], [139.0, 366.0]], ('GIFT CARDS', 0.9291289448738098)], [[[108.0, 380.0], [223.0, 374.0], [224.0, 389.0], [109.0, 394.0]], ('ava1lable & redeenable', 0.9541677832603455)], [[[107.0, 392.0], [224.0, 385.0], [225.0, 403.0], [108.0, 409.0]], ('at all 0&8 restaurants', 0.8943793773651123)], [[[65.0, 424.0], [268.0, 414.0], [269.0, 428.0], [66.0, 438.0]], ('curchase at the host desk or online at', 0.9227572083473206)], [[[118.0, 434.0], [218.0, 429.0], [218.0, 443.0], [119.0, 448.0]], ('OLIVERBONACINI.COM', 0.9894605278968811)]]
{"store_name": "", "store_addr": "", "telephone": "416.364.0054", "date": "10-09-15", "time": "8:11", "subtotal": "", "tax": "38.19", "total": "331.94 293.75", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "Benedictine", "item_value": "9.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SouthbrookvidalIce2OZ", "item_value": "13.00", "item_quantity": "1"}, {"item_key": "", "item_name": "ButtertartMedge", "item_value": "12.00", "item_quantity": "1"}, {"item_key": "", "item_name": "ChocolateMousse", "item_value": "12.00", "item_quantity": "1"}, {"item_key": "", "item_name": "0.25xClossonChaseChard", "item_value": "21.25", "item_quantity": "1"}, {"item_key": "", "item_name": "LalleySyrah6OZ", "item_value": "17.00", "item_quantity": "1"}, {"item_key": "", "item_name": "13thSt13Below2OZ", "item_value": "10.00", "item_quantity": "1"}, {"item_key": "", "item_name": "MuskokaCreamAle16OZ", "item_value": "9.50", "item_quantity": "1"}, {"item_key": "", "item_name": "FeverTreeLemonade", "item_value": "6.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SteamWhistle16OZ", "item_value": "8.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BisonRibEye", "item_value": "55.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "72.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "16.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "28.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "3.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "3.00", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[158.0, 0.0], [231.0, 0.0], [231.0, 10.0], [158.0, 10.0]], ('01616292130', 0.9979902505874634)], [[[84.0, 17.0], [122.0, 21.0], [120.0, 37.0], [82.0, 33.0]], ('Till1', 0.9445645213127136)], [[[81.0, 33.0], [110.0, 36.0], [108.0, 51.0], [80.0, 48.0]], ('AZZI', 0.8207935094833374)], [[[212.0, 35.0], [310.0, 36.0], [310.0, 50.0], [212.0, 49.0]], ('11 0ct 2018 18:20', 0.9047269821166992)], [[[80.0, 61.0], [136.0, 65.0], [135.0, 80.0], [79.0, 76.0]], ('Table35', 0.972169041633606)], [[[242.0, 64.0], [311.0, 64.0], [311.0, 75.0], [242.0, 75.0]], ('ACC No:3411', 0.8071498870849609)], [[[78.0, 76.0], [118.0, 79.0], [117.0, 93.0], [77.0, 90.0]], ('849603', 0.995147705078125)], [[[96.0, 110.0], [118.0, 110.0], [118.0, 119.0], [96.0, 119.0]], ('1', 0.8108927011489868)], [[[114.0, 108.0], [281.0, 104.0], [281.0, 120.0], [115.0, 124.0]], ('Burger Mea1 Dea1 1 Sep18=', 0.9108162522315979)], [[[280.0, 104.0], [314.0, 104.0], [314.0, 120.0], [280.0, 120.0]], ('12.49', 0.9956371188163757)], [[[136.0, 124.0], [237.0, 124.0], [237.0, 138.0], [136.0, 138.0]], ('1Ultimate Burger', 0.9320300817489624)], [[[135.0, 139.0], [202.0, 139.0], [202.0, 153.0], [135.0, 153.0]], ('1 Bud Light', 0.9370534420013428)], [[[90.0, 154.0], [226.0, 154.0], [226.0, 168.0], [90.0, 168.0]], ('1Deli Dea1 1 Sep 18', 0.8814924955368042)], [[[286.0, 151.0], [317.0, 151.0], [317.0, 166.0], [286.0, 166.0]], ('8.59', 0.9970002174377441)], [[[132.0, 169.0], [225.0, 169.0], [225.0, 182.0], [132.0, 182.0]], ('1Jkt Tuna Mayo', 0.9379758834838867)], [[[130.0, 185.0], [244.0, 182.0], [244.0, 199.0], [131.0, 202.0]], ('1 Strath Sti11 500', 0.9044179916381836)], [[[66.0, 213.0], [104.0, 215.0], [103.0, 233.0], [65.0, 231.0]], ('Total', 0.9963271021842957)], [[[278.0, 216.0], [319.0, 216.0], [319.0, 231.0], [278.0, 231.0]], ('21.08', 0.9885133504867554)], [[[65.0, 231.0], [140.0, 233.0], [139.0, 250.0], [64.0, 248.0]], ('Order &Pay', 0.9674943685531616)], [[[274.0, 233.0], [320.0, 233.0], [320.0, 248.0], [274.0, 248.0]], ('-21.08', 0.9212345480918884)], [[[62.0, 248.0], [189.0, 249.0], [189.0, 266.0], [62.0, 265.0]], ('Receipt no.29/0054', 0.9807987213134766)], [[[102.0, 286.0], [281.0, 286.0], [281.0, 300.0], [102.0, 300.0]], ('Account Closed', 0.9716585874557495)], [[[82.0, 339.0], [279.0, 339.0], [279.0, 356.0], [82.0, 356.0]], ('Payment Receipt', 0.9856100082397461)], [[[52.0, 377.0], [202.0, 379.0], [202.0, 396.0], [52.0, 394.0]], ('Order&Pay', 0.9859650731086731)], [[[241.0, 376.0], [325.0, 378.0], [324.0, 396.0], [241.0, 394.0]], ('21.08', 0.9924671053886414)], [[[51.0, 399.0], [164.0, 399.0], [164.0, 413.0], [51.0, 413.0]], ('20% VAT included', 0.9453917741775513)], [[[288.0, 397.0], [326.0, 397.0], [326.0, 416.0], [288.0, 416.0]], ('3.51', 0.992817759513855)], [[[48.0, 418.0], [183.0, 418.0], [183.0, 435.0], [48.0, 435.0]], ('Receipt no.29/0054', 0.9633471965789795)], [[[49.0, 437.0], [181.0, 437.0], [181.0, 449.0], [49.0, 449.0]], ('VATNo396331433', 0.8651993870735168)]]
{"store_name": "", "store_addr": "", "telephone": "", "date": "11Oct2018", "time": "18:20", "subtotal": "", "tax": "\u00a33.51", "total": "\u00a321.08 \u00a321.08", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "BurgerMealDeal1Sep18=", "item_value": "12.49", "item_quantity": "1"}, {"item_key": "", "item_name": "UltimateBurger", "item_value": "8.59", "item_quantity": "1"}, {"item_key": "", "item_name": "BudLight", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "DeliDeal1Sep18", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "JktTunaMayo", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "StrathStill500", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[119.0, 8.0], [231.0, 11.0], [230.0, 28.0], [118.0, 25.0]], ('Mission Beach Cafe', 0.948284387588501)], [[[112.0, 22.0], [230.0, 25.0], [229.0, 42.0], [112.0, 38.0]], ('198 Guerrero Street', 0.955385684967041)], [[[96.0, 36.0], [240.0, 41.0], [240.0, 55.0], [96.0, 50.0]], ('San FranciscoCA 94132', 0.9557751417160034)], [[[125.0, 51.0], [214.0, 55.0], [213.0, 68.0], [124.0, 65.0]], ('415861-0198', 0.9887861609458923)], [[[41.0, 74.0], [117.0, 78.0], [116.0, 95.0], [40.0, 91.0]], ('Server:Curt', 0.9457638263702393)], [[[227.0, 84.0], [301.0, 88.0], [300.0, 105.0], [226.0, 101.0]], ('Station:7', 0.9601179957389832)], [[[37.0, 103.0], [131.0, 110.0], [130.0, 126.0], [36.0, 119.0]], ('Order#633629', 0.9486177563667297)], [[[35.0, 119.0], [107.0, 125.0], [106.0, 140.0], [34.0, 134.0]], ('Table:B4', 0.9171093702316284)], [[[244.0, 115.0], [299.0, 120.0], [297.0, 138.0], [243.0, 133.0]], ('Dine In', 0.9663473963737488)], [[[230.0, 132.0], [298.0, 138.0], [297.0, 155.0], [229.0, 149.0]], ('Guests:1', 0.9516751170158386)], [[[30.0, 148.0], [113.0, 156.0], [112.0, 172.0], [28.0, 165.0]], ('1 Huge Mimosa', 0.9553688764572144)], [[[27.0, 164.0], [68.0, 167.0], [66.0, 184.0], [25.0, 181.0]], ('1 Hash', 0.9015467166900635)], [[[256.0, 166.0], [295.0, 168.0], [294.0, 187.0], [255.0, 185.0]], ('12.00', 0.9953396916389465)], [[[255.0, 182.0], [294.0, 186.0], [292.0, 205.0], [254.0, 201.0]], ('16.00', 0.9963332414627075)], [[[21.0, 194.0], [86.0, 200.0], [85.0, 218.0], [19.0, 212.0]], ('SUB TOTAL:', 0.9115986824035645)], [[[19.0, 211.0], [155.0, 226.0], [153.0, 243.0], [17.0, 228.0]], ('Tax and SF Surcharge', 0.9707280993461609)], [[[252.0, 217.0], [292.0, 221.0], [290.0, 240.0], [250.0, 236.0]], ('28.00', 0.9955475926399231)], [[[12.0, 243.0], [52.0, 247.0], [50.0, 266.0], [10.0, 261.0]], ('TOTAL:', 0.9881124496459961)], [[[256.0, 236.0], [291.0, 240.0], [289.0, 258.0], [253.0, 254.0]], ('3.85', 0.9961095452308655)], [[[239.0, 270.0], [289.0, 275.0], [287.0, 296.0], [237.0, 291.0]], ('$31.85', 0.9306300282478333)], [[[70.0, 286.0], [203.0, 304.0], [201.0, 321.0], [67.0, 303.0]], ('>Ticket#101<<', 0.9034197330474854)], [[[61.0, 303.0], [208.0, 324.0], [206.0, 341.0], [59.0, 320.0]], ('2/19/201712:12:40PM', 0.9627017974853516)]]
{"store_name": "MissionBeachCafe", "store_addr": "198GuerreroStreet SanFrancisco,CA94132", "telephone": "(415)861-0198", "date": "2/19/2017", "time": "12:12:40PM", "subtotal": "28.00", "tax": "3.85", "total": "$31.85", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "HugeMimosa", "item_value": "12.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Hash", "item_value": "16.00", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[239.0, 126.0], [426.0, 130.0], [426.0, 155.0], [238.0, 151.0]], ('Our guac rocks.', 0.9361797571182251)], [[[178.0, 179.0], [495.0, 182.0], [495.0, 204.0], [178.0, 201.0]], ('806 Avenida PicoSuite D', 0.9480586647987366)], [[[205.0, 206.0], [474.0, 208.0], [474.0, 230.0], [204.0, 228.0]], ('San C1emente CA 92672', 0.9259657859802246)], [[[263.0, 235.0], [441.0, 235.0], [441.0, 257.0], [263.0, 257.0]], ('949272-5955', 0.9929355978965759)], [[[67.0, 269.0], [235.0, 262.0], [236.0, 287.0], [68.0, 294.0]], ('HostLauren', 0.9952594041824341)], [[[495.0, 262.0], [618.0, 265.0], [618.0, 291.0], [494.0, 288.0]], ('01/14/2012', 0.9967474937438965)], [[[534.0, 290.0], [623.0, 293.0], [623.0, 318.0], [533.0, 315.0]], ('5:20PM', 0.9485722184181213)], [[[67.0, 300.0], [209.0, 292.0], [210.0, 317.0], [68.0, 325.0]], ('ORDER #378', 0.9546375274658203)], [[[566.0, 320.0], [627.0, 320.0], [627.0, 347.0], [566.0, 347.0]], ('10281', 0.998816967010498)], [[[586.0, 377.0], [639.0, 377.0], [639.0, 405.0], [586.0, 405.0]], ('6.35', 0.9927324056625366)], [[[64.0, 391.0], [211.0, 383.0], [213.0, 412.0], [66.0, 420.0]], ('Steak Bowl', 0.9162864685058594)], [[[594.0, 435.0], [653.0, 435.0], [653.0, 467.0], [594.0, 467.0]], ('5.95', 0.9778386354446411)], [[[64.0, 456.0], [242.0, 445.0], [243.0, 474.0], [66.0, 485.0]], ('Chk Faj Bowl', 0.8774041533470154)], [[[609.0, 497.0], [668.0, 497.0], [668.0, 529.0], [609.0, 529.0]], ('1.55', 0.9901384711265564)], [[[60.0, 522.0], [217.0, 514.0], [219.0, 546.0], [62.0, 555.0]], ('Sma11 Soda', 0.8921886682510376)], [[[610.0, 565.0], [680.0, 561.0], [682.0, 592.0], [612.0, 596.0]], ('13.85', 0.9939367175102234)], [[[58.0, 595.0], [188.0, 588.0], [190.0, 620.0], [60.0, 628.0]], ('Subtotal', 0.9954291582107544)], [[[629.0, 600.0], [688.0, 595.0], [690.0, 627.0], [631.0, 632.0]], ('1.07', 0.9962024092674255)], [[[59.0, 634.0], [114.0, 634.0], [114.0, 668.0], [59.0, 668.0]], ('Tax', 0.9969659447669983)], [[[631.0, 672.0], [707.0, 666.0], [709.0, 700.0], [634.0, 706.0]], ('14.92', 0.994966983795166)], [[[57.0, 716.0], [271.0, 699.0], [274.0, 731.0], [59.0, 748.0]], ('DINE IN Total', 0.9457435011863708)], [[[638.0, 710.0], [714.0, 702.0], [718.0, 738.0], [642.0, 746.0]], ('14.92', 0.9915218353271484)], [[[58.0, 758.0], [400.0, 729.0], [403.0, 762.0], [60.0, 790.0]], ('AMEX #XXXXXXXXXXX4002', 0.9491650462150574)], [[[654.0, 786.0], [732.0, 780.0], [735.0, 819.0], [657.0, 825.0]], ('14.92', 0.9953532218933105)], [[[91.0, 798.0], [321.0, 782.0], [324.0, 815.0], [93.0, 831.0]], ('Authorizing...', 0.9694413542747498)], [[[54.0, 846.0], [246.0, 829.0], [249.0, 866.0], [57.0, 882.0]], ('Balance Due', 0.9422088265419006)], [[[179.0, 925.0], [639.0, 877.0], [643.0, 912.0], [183.0, 961.0]], ('Order online at chipotle.com', 0.9677522778511047)]]
{"store_name": "", "store_addr": "SanClementeCA92672 806AvenidaPico,SuiteD", "telephone": "(949)272-5955", "date": "01/14/2012", "time": "5:20PM", "subtotal": "13.85", "tax": "1.07", "total": "14.92", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "SmallSoda", "item_value": "1.55", "item_quantity": "1"}, {"item_key": "", "item_name": "ChkFajBowl", "item_value": "5.95", "item_quantity": "1"}, {"item_key": "", "item_name": "SteakBowl", "item_value": "6.35", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[193.0, 26.0], [639.0, 5.0], [641.0, 50.0], [195.0, 72.0]], ('BUY ONE GET ONE IREE JUMBO JACK OR', 0.9387190937995911)], [[[312.0, 66.0], [536.0, 59.0], [537.0, 99.0], [313.0, 106.0]], ('SUPREME CROISSANT', 0.9852150082588196)], [[[251.0, 110.0], [585.0, 97.0], [586.0, 125.0], [252.0, 138.0]], ('When you tate our survey', 0.8963105082511902)], [[[120.0, 129.0], [363.0, 137.0], [362.0, 159.0], [120.0, 151.0]], ('1 within 3 days..', 0.8790989518165588)], [[[145.0, 173.0], [468.0, 168.0], [469.0, 193.0], [145.0, 198.0]], ('orca 1-8ooj401', 0.6892942786216736)], [[[100.0, 191.0], [242.0, 198.0], [241.0, 226.0], [99.0, 219.0]], ('2Enter', 0.9934606552124023)], [[[139.0, 229.0], [614.0, 212.0], [616.0, 261.0], [141.0, 278.0]], ('14 digit code:522 101 503 77244', 0.9306129813194275)], [[[131.0, 281.0], [513.0, 273.0], [514.0, 323.0], [132.0, 331.0]], ('Date of Service8/17/2016', 0.9677894711494446)], [[[122.0, 342.0], [454.0, 344.0], [454.0, 398.0], [122.0, 396.0]], ('Tine of Service:12:01', 0.9014550447463989)], [[[59.0, 425.0], [144.0, 427.0], [143.0, 458.0], [58.0, 455.0]], ('here:', 0.922979474067688)], [[[279.0, 437.0], [494.0, 425.0], [498.0, 488.0], [282.0, 500.0]], ('2374', 0.7614056468009949)], [[[286.0, 537.0], [542.0, 529.0], [543.0, 561.0], [287.0, 569.0]], ('CouponCode:525', 0.9609575271606445)], [[[47.0, 572.0], [727.0, 562.0], [727.0, 598.0], [47.0, 607.0]], ('4) Bring this receipt to a Jack in the Box', 0.9277352690696716)], [[[96.0, 613.0], [610.0, 604.0], [611.0, 636.0], [96.0, 645.0]], ('restaurant to redeem your offer', 0.9385738372802734)], [[[40.0, 660.0], [720.0, 642.0], [721.0, 681.0], [41.0, 698.0]], ('One ccupon per guest 7isit.This offer is', 0.9267733693122864)], [[[38.0, 700.0], [535.0, 687.0], [536.0, 723.0], [39.0, 736.0]], ('not valid with any other offer', 0.9419644474983215)], [[[32.0, 739.0], [674.0, 717.0], [675.0, 756.0], [33.0, 777.0]], ('or discount.Jack in the Box employees', 0.932539165019989)], [[[22.0, 780.0], [633.0, 759.0], [634.0, 794.0], [23.0, 815.0]], ('and their families ara not eligible', 0.8962692618370056)], [[[13.0, 816.0], [665.0, 799.0], [666.0, 835.0], [14.0, 852.0]], ('Not transferable. This offer is valid', 0.9355329275131226)], [[[9.0, 852.0], [755.0, 840.0], [755.0, 880.0], [10.0, 892.0]], ('for 7 days after complet ion of the survey', 0.9311297535896301)], [[[202.0, 898.0], [574.0, 893.0], [575.0, 961.0], [203.0, 966.0]], ('**Esta encuesta esta', 0.9635396003723145)]]
{"store_name": "BUYONEGETONEFREEJUMBOJACKOR SUPREMECROISSANT", "store_addr": "", "telephone": "", "date": "8/17/2016", "time": "12:01", "subtotal": "", "tax": "", "total": "", "ignore": " ", "tips": "", "line_items": []}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[16.0, 24.0], [243.0, 24.0], [243.0, 71.0], [16.0, 71.0]], ('Walmart', 0.9955997467041016)], [[[18.0, 76.0], [247.0, 75.0], [248.0, 94.0], [18.0, 95.0]], ('Save money.Live better.', 0.959840714931488)], [[[135.0, 119.0], [195.0, 119.0], [195.0, 136.0], [135.0, 136.0]], ('Walnart', 0.9633780121803284)], [[[94.0, 135.0], [242.0, 134.0], [242.0, 150.0], [94.0, 151.0]], ('MANAGER MARY EWING', 0.9028365612030029)], [[[96.0, 152.0], [241.0, 150.0], [241.0, 164.0], [96.0, 166.0]], ('251968-5871', 0.9664796590805054)], [[[114.0, 168.0], [226.0, 168.0], [226.0, 182.0], [114.0, 182.0]], ('GULF SHORES,AL', 0.9427886605262756)], [[[15.0, 183.0], [323.0, 181.0], [323.0, 198.0], [15.0, 200.0]], ('ST#27480P#00004565TE#11 TR#01581', 0.9558280110359192)], [[[15.0, 199.0], [237.0, 198.0], [237.0, 214.0], [15.0, 215.0]], ('HM CHRYLIMAD 002500005421F', 0.916965901851654)], [[[275.0, 199.0], [325.0, 199.0], [325.0, 213.0], [275.0, 213.0]], ('1.00T', 0.9712424278259277)], [[[15.0, 215.0], [237.0, 213.0], [237.0, 230.0], [15.0, 232.0]], ('HAM/AHER SUB 004470005831F', 0.9611262679100037)], [[[273.0, 213.0], [326.0, 213.0], [326.0, 231.0], [273.0, 231.0]], ('1.25T', 0.9576717615127563)], [[[14.0, 232.0], [101.0, 230.0], [101.0, 247.0], [15.0, 249.0]], ('STAX SCO', 0.926224410533905)], [[[122.0, 232.0], [236.0, 232.0], [236.0, 246.0], [122.0, 246.0]], ('002840005515F', 0.9944785833358765)], [[[272.0, 230.0], [326.0, 228.0], [327.0, 246.0], [273.0, 248.0]], ('1.00x', 0.8749377131462097)], [[[15.0, 247.0], [107.0, 245.0], [108.0, 261.0], [16.0, 264.0]], ('VEG HAC CHS', 0.8544618487358093)], [[[120.0, 246.0], [237.0, 245.0], [237.0, 262.0], [120.0, 263.0]], ('002100003217F', 0.9931100010871887)], [[[274.0, 247.0], [326.0, 247.0], [326.0, 263.0], [274.0, 263.0]], ('1.22T', 0.9678711891174316)], [[[16.0, 263.0], [99.0, 263.0], [99.0, 279.0], [16.0, 279.0]], ('SHACK CAKE', 0.9393652081489563)], [[[122.0, 264.0], [236.0, 264.0], [236.0, 277.0], [122.0, 277.0]], ('002430004350F', 0.9962069988250732)], [[[273.0, 262.0], [327.0, 262.0], [327.0, 278.0], [273.0, 278.0]], ('2.50X', 0.9077906608581543)], [[[17.0, 280.0], [83.0, 280.0], [83.0, 294.0], [17.0, 294.0]], ('UG PENNE', 0.8172988891601562)], [[[123.0, 278.0], [236.0, 278.0], [236.0, 292.0], [123.0, 292.0]], ('002470006219F', 0.9769929647445679)], [[[275.0, 278.0], [327.0, 278.0], [327.0, 294.0], [275.0, 294.0]], ('1.36T', 0.9514535069465637)], [[[17.0, 296.0], [83.0, 296.0], [83.0, 310.0], [17.0, 310.0]], ('GILLETTE', 0.9952064752578735)], [[[123.0, 294.0], [218.0, 294.0], [218.0, 308.0], [123.0, 308.0]], ('004740005381', 0.9968426823616028)], [[[273.0, 293.0], [327.0, 293.0], [327.0, 310.0], [273.0, 310.0]], ('5.87', 0.9943751096725464)], [[[17.0, 312.0], [75.0, 312.0], [75.0, 325.0], [17.0, 325.0]], ('SHAHPOO', 0.9758500456809998)], [[[123.0, 310.0], [219.0, 310.0], [219.0, 324.0], [123.0, 324.0]], ('008087804829', 0.9965863823890686)], [[[273.0, 309.0], [327.0, 309.0], [327.0, 325.0], [273.0, 325.0]], ('0.97X', 0.886676013469696)], [[[16.0, 325.0], [76.0, 325.0], [76.0, 342.0], [16.0, 342.0]], ('SHAHPOO', 0.9207497239112854)], [[[123.0, 326.0], [219.0, 326.0], [219.0, 340.0], [123.0, 340.0]], ('038151901990', 0.9974856376647949)], [[[272.0, 325.0], [327.0, 322.0], [328.0, 340.0], [273.0, 342.0]], ('0.97X', 0.9153848886489868)], [[[17.0, 341.0], [220.0, 341.0], [220.0, 358.0], [17.0, 358.0]], ('OS B0DY WASH 003700047213', 0.9293680787086487)], [[[275.0, 342.0], [327.0, 342.0], [327.0, 358.0], [275.0, 358.0]], ('0.97X', 0.9173359870910645)], [[[17.0, 358.0], [77.0, 358.0], [77.0, 375.0], [17.0, 375.0]], ('SHAHPOO', 0.9473851919174194)], [[[124.0, 360.0], [220.0, 360.0], [220.0, 374.0], [124.0, 374.0]], ('003700044649', 0.9959699511528015)], [[[275.0, 359.0], [327.0, 359.0], [327.0, 375.0], [275.0, 375.0]], ('0.97X', 0.9007498025894165)], [[[19.0, 375.0], [108.0, 375.0], [108.0, 388.0], [19.0, 388.0]], ('CONDITIONER', 0.973158061504364)], [[[123.0, 375.0], [220.0, 375.0], [220.0, 388.0], [123.0, 388.0]], ('008087804838', 0.9966626763343811)], [[[274.0, 373.0], [326.0, 373.0], [326.0, 388.0], [274.0, 388.0]], ('0.97X', 0.8647491335868835)], [[[18.0, 391.0], [108.0, 391.0], [108.0, 405.0], [18.0, 405.0]], ('CONDITIONER', 0.9963411092758179)], [[[123.0, 390.0], [220.0, 390.0], [220.0, 404.0], [123.0, 404.0]], ('008087804838', 0.9915578961372375)], [[[274.0, 389.0], [326.0, 389.0], [326.0, 405.0], [274.0, 405.0]], ('0.97X', 0.9454942941665649)], [[[17.0, 405.0], [77.0, 405.0], [77.0, 422.0], [17.0, 422.0]], ('SHAMPOO', 0.9621914625167847)], [[[124.0, 406.0], [220.0, 406.0], [220.0, 420.0], [124.0, 420.0]], ('008087804829', 0.9936411380767822)], [[[274.0, 402.0], [328.0, 404.0], [327.0, 422.0], [273.0, 420.0]], ('0.97X', 0.9339795112609863)], [[[16.0, 421.0], [77.0, 421.0], [77.0, 438.0], [16.0, 438.0]], ('SHAHPOO', 0.9452862739562988)], [[[123.0, 421.0], [221.0, 421.0], [221.0, 438.0], [123.0, 438.0]], ('003700044649', 0.9977593421936035)], [[[276.0, 422.0], [328.0, 422.0], [328.0, 438.0], [276.0, 438.0]], ('0.97X', 0.9511171579360962)], [[[19.0, 439.0], [221.0, 439.0], [221.0, 452.0], [19.0, 452.0]], ('OS B0DY UASH 003700047213', 0.8976215124130249)], [[[276.0, 438.0], [328.0, 438.0], [328.0, 453.0], [276.0, 453.0]], ('0.97X', 0.9298213124275208)], [[[18.0, 453.0], [221.0, 452.0], [221.0, 467.0], [18.0, 468.0]], ('OS B00Y WASH 003700047213', 0.9017998576164246)], [[[275.0, 451.0], [328.0, 451.0], [328.0, 469.0], [275.0, 469.0]], ('0.97X', 0.9313148260116577)], [[[20.0, 470.0], [100.0, 470.0], [100.0, 484.0], [20.0, 484.0]], ('BODY SPRAY', 0.9666699171066284)], [[[124.0, 469.0], [221.0, 469.0], [221.0, 483.0], [124.0, 483.0]], ('001204400954', 0.9967131614685059)], [[[276.0, 469.0], [328.0, 469.0], [328.0, 485.0], [276.0, 485.0]], ('3.62X', 0.889844536781311)], [[[19.0, 486.0], [100.0, 486.0], [100.0, 500.0], [19.0, 500.0]], ('BODY SPRAY', 0.9448776245117188)], [[[124.0, 486.0], [221.0, 486.0], [221.0, 499.0], [124.0, 499.0]], ('001204400954', 0.9974854588508606)], [[[275.0, 484.0], [329.0, 484.0], [329.0, 501.0], [275.0, 501.0]], ('3.62X', 0.886137843132019)], [[[20.0, 502.0], [102.0, 502.0], [102.0, 515.0], [20.0, 515.0]], ('BODY SPRAY', 0.9530890583992004)], [[[124.0, 502.0], [221.0, 502.0], [221.0, 515.0], [124.0, 515.0]], ('001204401690', 0.9970846772193909)], [[[277.0, 501.0], [329.0, 501.0], [329.0, 516.0], [277.0, 516.0]], ('4.24X', 0.928266704082489)], [[[27.0, 517.0], [174.0, 517.0], [174.0, 531.0], [27.0, 531.0]], ('**VOIDEDENTRY **', 0.8928118944168091)], [[[20.0, 533.0], [103.0, 533.0], [103.0, 547.0], [20.0, 547.0]], ('BODY SPRAY', 0.9516751170158386)], [[[124.0, 533.0], [221.0, 533.0], [221.0, 547.0], [124.0, 547.0]], ('001204401690', 0.9963138699531555)], [[[277.0, 532.0], [327.0, 532.0], [327.0, 547.0], [277.0, 547.0]], ('4.24-X', 0.9340103268623352)], [[[17.0, 548.0], [127.0, 546.0], [127.0, 562.0], [18.0, 565.0]], ('BODY SPRAY', 0.9516420364379883)], [[[122.0, 549.0], [221.0, 549.0], [221.0, 562.0], [122.0, 562.0]], ('001204401770', 0.9854866862297058)], [[[276.0, 547.0], [328.0, 547.0], [328.0, 562.0], [276.0, 562.0]], ('4.24X', 0.8383070230484009)], [[[20.0, 564.0], [221.0, 564.0], [221.0, 578.0], [20.0, 578.0]], ('TGS MSTRIZNG 004740013071', 0.9225080609321594)], [[[277.0, 560.0], [330.0, 563.0], [329.0, 580.0], [276.0, 578.0]], ('1.87X', 0.9201439023017883)], [[[20.0, 580.0], [126.0, 580.0], [126.0, 594.0], [20.0, 594.0]], ('HAIR SPRAY ', 0.9291324615478516)], [[[123.0, 580.0], [222.0, 580.0], [222.0, 594.0], [123.0, 594.0]], ('003878555100', 0.9977143406867981)], [[[277.0, 579.0], [329.0, 579.0], [329.0, 595.0], [277.0, 595.0]], ('2.84X', 0.9466496706008911)], [[[20.0, 596.0], [222.0, 596.0], [222.0, 610.0], [20.0, 610.0]], ('TINY T-B0NZ 001780042118', 0.9426116943359375)], [[[276.0, 594.0], [328.0, 594.0], [328.0, 610.0], [276.0, 610.0]], ('2.98X', 0.9057987332344055)], [[[20.0, 612.0], [221.0, 612.0], [221.0, 625.0], [20.0, 625.0]], ('D06 TREATS080702010137', 0.9541395306587219)], [[[278.0, 611.0], [330.0, 611.0], [330.0, 626.0], [278.0, 626.0]], ('2.12X', 0.9091523885726929)], [[[20.0, 627.0], [222.0, 627.0], [222.0, 641.0], [20.0, 641.0]], ('COUP0N 07020 050702010000', 0.9549182057380676)], [[[277.0, 625.0], [330.0, 625.0], [330.0, 643.0], [277.0, 643.0]], ('1.00-0', 0.9911690354347229)], [[[19.0, 643.0], [222.0, 642.0], [222.0, 656.0], [19.0, 657.0]], ('COUP0N 12044 051204454500', 0.9537724256515503)], [[[278.0, 642.0], [330.0, 642.0], [330.0, 658.0], [278.0, 658.0]], ('4.24-0', 0.9915328025817871)], [[[20.0, 659.0], [223.0, 659.0], [223.0, 673.0], [20.0, 673.0]], ('COUP0N 12044 051204454500', 0.9455873370170593)], [[[277.0, 657.0], [329.0, 657.0], [329.0, 675.0], [277.0, 675.0]], ('4.24-0', 0.9913737773895264)], [[[21.0, 675.0], [223.0, 675.0], [223.0, 688.0], [21.0, 688.0]], ('COUP0N 38151053815140000', 0.9546989798545837)], [[[278.0, 675.0], [328.0, 675.0], [328.0, 689.0], [278.0, 689.0]], ('3.00-0', 0.9947142004966736)], [[[22.0, 691.0], [222.0, 691.0], [222.0, 705.0], [22.0, 705.0]], ('COUP0N 37000 053700051000', 0.9437428116798401)], [[[278.0, 690.0], [330.0, 690.0], [330.0, 706.0], [278.0, 706.0]], ('0.97-0', 0.9844703674316406)], [[[21.0, 707.0], [223.0, 707.0], [223.0, 720.0], [21.0, 720.0]], ('COUP0H 47400 054740022000', 0.9547672867774963)], [[[279.0, 706.0], [328.0, 706.0], [328.0, 721.0], [279.0, 721.0]], ('1.87-0', 0.9918827414512634)], [[[22.0, 723.0], [223.0, 723.0], [223.0, 736.0], [22.0, 736.0]], ('COUP0N 12044 051204454500', 0.9473634958267212)], [[[278.0, 722.0], [328.0, 722.0], [328.0, 737.0], [278.0, 737.0]], ('3.62-0', 0.9937947392463684)], [[[22.0, 737.0], [223.0, 737.0], [223.0, 751.0], [22.0, 751.0]], ('COUP0N 80878 058087858000', 0.9518460035324097)], [[[280.0, 737.0], [328.0, 737.0], [328.0, 751.0], [280.0, 751.0]], ('1.00-0', 0.9901027679443359)], [[[22.0, 753.0], [223.0, 753.0], [223.0, 767.0], [22.0, 767.0]], ('COGP0N 80878 058087858000', 0.915219783782959)], [[[280.0, 752.0], [329.0, 752.0], [329.0, 767.0], [280.0, 767.0]], ('1.00-0', 0.9900514483451843)], [[[22.0, 769.0], [223.0, 769.0], [223.0, 783.0], [22.0, 783.0]], ('COUP0N 47400 054740015000', 0.9581121206283569)], [[[277.0, 767.0], [330.0, 765.0], [331.0, 782.0], [278.0, 785.0]], ('2.00-0', 0.9928352236747742)], [[[21.0, 786.0], [224.0, 784.0], [224.0, 797.0], [22.0, 800.0]], ('COUP0N 17800 051780042400', 0.9525132179260254)], [[[280.0, 785.0], [329.0, 785.0], [329.0, 799.0], [280.0, 799.0]], ('1.00-0', 0.9933319091796875)], [[[22.0, 801.0], [227.0, 801.0], [227.0, 815.0], [22.0, 815.0]], ('COUP0N 24700 052470010000', 0.9536811709403992)], [[[222.0, 802.0], [239.0, 802.0], [239.0, 813.0], [222.0, 813.0]], ('F', 0.877235472202301)], [[[280.0, 800.0], [330.0, 800.0], [330.0, 815.0], [280.0, 815.0]], ('1.00-0', 0.9928123950958252)], [[[22.0, 817.0], [227.0, 817.0], [227.0, 831.0], [22.0, 831.0]], ('COUP0N 21000 052100041000', 0.9603361487388611)], [[[279.0, 816.0], [331.0, 816.0], [331.0, 832.0], [279.0, 832.0]], ('0.75-0', 0.9914069771766663)], [[[24.0, 833.0], [240.0, 833.0], [240.0, 847.0], [24.0, 847.0]], ('COUP0N 44700 054470023000 F', 0.9309580326080322)], [[[279.0, 833.0], [331.0, 833.0], [331.0, 849.0], [279.0, 849.0]], ('1.00-0', 0.9927907586097717)], [[[168.0, 850.0], [231.0, 850.0], [231.0, 863.0], [168.0, 863.0]], ('SUBTOTAL', 0.9957013130187988)], [[[273.0, 849.0], [314.0, 849.0], [314.0, 863.0], [273.0, 863.0]], ('18.50', 0.9987319707870483)], [[[95.0, 863.0], [219.0, 863.0], [219.0, 880.0], [95.0, 880.0]], ('TAX110.000', 0.9835116267204285)], [[[278.0, 862.0], [315.0, 862.0], [315.0, 880.0], [278.0, 880.0]], ('4.52', 0.9969149827957153)], [[[191.0, 880.0], [231.0, 880.0], [231.0, 895.0], [191.0, 895.0]], ('TOTAL', 0.9975174069404602)], [[[273.0, 880.0], [314.0, 880.0], [314.0, 895.0], [273.0, 895.0]], ('23.02', 0.9981385469436646)], [[[151.0, 896.0], [186.0, 896.0], [186.0, 911.0], [151.0, 911.0]], ('CASH', 0.8934526443481445)], [[[197.0, 897.0], [233.0, 897.0], [233.0, 911.0], [197.0, 911.0]], ('TEND', 0.9962469339370728)], [[[278.0, 895.0], [315.0, 895.0], [315.0, 913.0], [278.0, 913.0]], ('2.02', 0.9978249669075012)], [[[144.0, 912.0], [189.0, 912.0], [189.0, 926.0], [144.0, 926.0]], ('DEBIT', 0.9917874336242676)], [[[197.0, 912.0], [233.0, 912.0], [233.0, 926.0], [197.0, 926.0]], ('TEND', 0.9924908876419067)], [[[272.0, 911.0], [315.0, 911.0], [315.0, 928.0], [272.0, 928.0]], ('21.00', 0.9982863664627075)], [[[151.0, 926.0], [235.0, 926.0], [235.0, 943.0], [151.0, 943.0]], ('CHANGE DUE', 0.959488034248352)], [[[280.0, 927.0], [316.0, 927.0], [316.0, 942.0], [280.0, 942.0]], ('0.00', 0.9980942010879517)]]
{"store_name": "Walmart Walmart", "store_addr": "GULFSHORES,AL", "telephone": "(251)968-5871", "date": "", "time": "", "subtotal": "18.50", "tax": "4.52", "total": "23.02", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "MMCHRYLIMAD", "item_value": "1.00", "item_quantity": "1"}, {"item_key": "", "item_name": "HAM/AHERSUB", "item_value": "1.25", "item_quantity": "1"}, {"item_key": "", "item_name": "STAXSC0", "item_value": "1.00", "item_quantity": "1"}, {"item_key": "", "item_name": "VEGMACCHS", "item_value": "1.22", "item_quantity": "1"}, {"item_key": "", "item_name": "SNACKCAKE", "item_value": "2.50", "item_quantity": "1"}, {"item_key": "", "item_name": "WGPENNE", "item_value": "1.36", "item_quantity": "1"}, {"item_key": "", "item_name": "GILLETTE", "item_value": "5.87", "item_quantity": "1"}, {"item_key": "", "item_name": "SHAMPOO", "item_value": "0.97", "item_quantity": "1"}, {"item_key": "", "item_name": "SHAHPOO", "item_value": "0.97", "item_quantity": "1"}, {"item_key": "", "item_name": "OSBODYWASH", "item_value": "0.97", "item_quantity": "1"}, {"item_key": "", "item_name": "SHAMPOO", "item_value": "0.97", "item_quantity": "1"}, {"item_key": "", "item_name": "CONDITIONER", "item_value": "0.97", "item_quantity": "1"}, {"item_key": "", "item_name": "CONDITIONER", "item_value": "0.97", "item_quantity": "1"}, {"item_key": "", "item_name": "SHAMPOO", "item_value": "0.97", "item_quantity": "1"}, {"item_key": "", "item_name": "SHAMPOO", "item_value": "0.97", "item_quantity": "1"}, {"item_key": "", "item_name": "OSBODYWASH", "item_value": "0.97", "item_quantity": "1"}, {"item_key": "", "item_name": "OSBODYWASH", "item_value": "0.97", "item_quantity": "1"}, {"item_key": "", "item_name": "BODYSPRAY", "item_value": "3.62", "item_quantity": "1"}, {"item_key": "", "item_name": "BODYSPRAY", "item_value": "3.62", "item_quantity": "1"}, {"item_key": "", "item_name": "BODYSPRAY", "item_value": "4.24", "item_quantity": "1"}, {"item_key": "", "item_name": "BODYSPRAY", "item_value": "4.24", "item_quantity": "1"}, {"item_key": "", "item_name": "BODYSPRAY", "item_value": "4.24", "item_quantity": "1"}, {"item_key": "", "item_name": "TGSMSTRIZNG", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "HAIRSPRAY", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "TINYT-BONZ", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "DOGTREATS", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[209.0, 104.0], [345.0, 102.0], [345.0, 115.0], [209.0, 118.0]], ('Kenny Rogers Roasters', 0.9653340578079224)], [[[150.0, 119.0], [393.0, 112.0], [393.0, 128.0], [151.0, 135.0]], ('J3-21,Lv1 3,City Square Shopping Centre', 0.9259852766990662)], [[[162.0, 132.0], [389.0, 124.0], [389.0, 141.0], [162.0, 149.0]], ('Jalan Wong Ah Fook,Boooo Johor Bahru.', 0.9141508340835571)], [[[226.0, 145.0], [315.0, 141.0], [316.0, 155.0], [227.0, 159.0]], ('Tel:07-2229097', 0.938582718372345)], [[[208.0, 159.0], [335.0, 154.0], [336.0, 170.0], [209.0, 174.0]], ('GST ID 001428721664', 0.9490265250205994)], [[[125.0, 225.0], [185.0, 215.0], [189.0, 237.0], [128.0, 247.0]], ('Table:7', 0.9474311470985413)], [[[382.0, 224.0], [424.0, 224.0], [424.0, 239.0], [382.0, 239.0]], ('PAX:2', 0.9082016944885254)], [[[128.0, 240.0], [248.0, 240.0], [248.0, 254.0], [128.0, 254.0]], ('Invoice:001-134818', 0.9584556221961975)], [[[126.0, 255.0], [284.0, 255.0], [284.0, 269.0], [126.0, 269.0]], ('Date:2017/09/23 16:21:55', 0.9331563115119934)], [[[125.0, 281.0], [227.0, 283.0], [226.0, 298.0], [124.0, 296.0]], ('Chkn&Garden Meal', 0.9420899152755737)], [[[376.0, 284.0], [425.0, 284.0], [425.0, 298.0], [376.0, 298.0]], ('RM22.90', 0.9946908950805664)], [[[124.0, 298.0], [215.0, 298.0], [215.0, 312.0], [124.0, 312.0]], ('Chkn &Pasta M', 0.9186621904373169)], [[[354.0, 302.0], [360.0, 302.0], [360.0, 311.0], [354.0, 311.0]], ('-', 0.8461792469024658)], [[[377.0, 298.0], [425.0, 298.0], [425.0, 313.0], [377.0, 313.0]], ('RM23.50', 0.9948452115058899)], [[[123.0, 313.0], [207.0, 313.0], [207.0, 327.0], [123.0, 327.0]], ("Rollie's Bow", 0.8958297371864319)], [[[378.0, 313.0], [426.0, 313.0], [426.0, 328.0], [378.0, 328.0]], ('RM11.50', 0.9949651956558228)], [[[121.0, 327.0], [202.0, 327.0], [202.0, 344.0], [121.0, 344.0]], ('Orange Juice', 0.9694028496742249)], [[[353.0, 331.0], [361.0, 331.0], [361.0, 341.0], [353.0, 341.0]], ('1', 0.9270171523094177)], [[[384.0, 328.0], [427.0, 328.0], [427.0, 343.0], [384.0, 343.0]], ('RM8.90', 0.9882538914680481)], [[[120.0, 340.0], [214.0, 343.0], [214.0, 360.0], [119.0, 357.0]], ('Iced Lemon Tea', 0.957269012928009)], [[[385.0, 344.0], [428.0, 344.0], [428.0, 359.0], [385.0, 359.0]], ('RM6.90', 0.9961215853691101)], [[[208.0, 377.0], [426.0, 371.0], [427.0, 398.0], [209.0, 404.0]], ('Tota1 After Rounding R73.70', 0.921275794506073)], [[[124.0, 413.0], [288.0, 413.0], [288.0, 427.0], [124.0, 427.0]], ('Included6%GSTRM4.17', 0.9474813342094421)], [[[311.0, 440.0], [341.0, 440.0], [341.0, 456.0], [311.0, 456.0]], ('Cash', 0.9942178726196289)], [[[369.0, 439.0], [425.0, 441.0], [424.0, 459.0], [368.0, 457.0]], ('RM100.00', 0.9910755157470703)], [[[299.0, 455.0], [341.0, 457.0], [340.0, 472.0], [298.0, 470.0]], ('Change', 0.9972140789031982)], [[[375.0, 458.0], [424.0, 458.0], [424.0, 473.0], [375.0, 473.0]], ('RM26.30', 0.9903939962387085)], [[[150.0, 484.0], [395.0, 483.0], [395.0, 500.0], [150.0, 501.0]], ('*******************', 0.6386926174163818)], [[[181.0, 500.0], [359.0, 498.0], [359.0, 515.0], [181.0, 517.0]], ('THANK YOUPLEASE COME AGAIN', 0.9605737328529358)], [[[182.0, 514.0], [358.0, 513.0], [358.0, 530.0], [182.0, 531.0]], ('ROASTERS Delivery & Catering', 0.9275625944137573)], [[[223.0, 531.0], [315.0, 528.0], [316.0, 542.0], [224.0, 545.0]], ('WWW.KRR.COM.MY', 0.9248462915420532)], [[[151.0, 544.0], [392.0, 538.0], [392.0, 555.0], [152.0, 561.0]], ('Join us at w.facebook.com/KRRMa lays1a', 0.9027285575866699)], [[[152.0, 559.0], [391.0, 552.0], [391.0, 566.0], [152.0, 573.0]], ('********************', 0.8035130500793457)], [[[164.0, 575.0], [372.0, 566.0], [372.0, 581.0], [164.0, 589.0]], ('At KRR we want you to be healthy', 0.9243637919425964)], [[[152.0, 590.0], [390.0, 579.0], [390.0, 592.0], [153.0, 603.0]], ('********************', 0.8493921160697937)], [[[165.0, 604.0], [373.0, 594.0], [373.0, 611.0], [165.0, 621.0]], ('At KRR we want you to be healthy!', 0.9142749905586243)], [[[129.0, 635.0], [270.0, 630.0], [270.0, 644.0], [130.0, 650.0]], ('001-2017/09/23 16:23:01 Nozni', 0.8846248388290405)], [[[298.0, 628.0], [364.0, 624.0], [365.0, 639.0], [299.0, 643.0]], ('001-1348181', 0.9763477444648743)]]
{"store_name": "KennyRogersRoasters", "store_addr": "J3-21,Lv13,CitySquareShoppingCentre, JalanWongAhFook,80000JohorBahru,", "telephone": "07-2229097", "date": "2017/09/23 2017/09/23", "time": "16:23:01", "subtotal": "", "tax": "RM4.17)", "total": "RM73.70", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "Chkn&GardenMeal", "item_value": "RM22.90", "item_quantity": "1"}, {"item_key": "", "item_name": "Chkn&PastaM", "item_value": "RM23.50", "item_quantity": "1"}, {"item_key": "", "item_name": "Rollie'sBowl", "item_value": "RM11.50", "item_quantity": "1"}, {"item_key": "", "item_name": "OrangeJuice", "item_value": "RM8.90", "item_quantity": "1"}, {"item_key": "", "item_name": "IcedLemonTea", "item_value": "RM6.90", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[76.0, 6.0], [197.0, 5.0], [197.0, 18.0], [76.0, 19.0]], ('DETAIL CENTER', 0.942427933216095)], [[[103.0, 24.0], [229.0, 24.0], [229.0, 38.0], [103.0, 38.0]], ('Glenside Pennsy Ivania 19038', 0.908248245716095)], [[[113.0, 15.0], [212.0, 16.0], [212.0, 27.0], [113.0, 26.0]], ('401 West Glenside Ave', 0.9322700500488281)], [[[136.0, 36.0], [199.0, 36.0], [199.0, 46.0], [136.0, 46.0]], ('215576-5300', 0.9832867980003357)], [[[139.0, 82.0], [220.0, 82.0], [220.0, 92.0], [139.0, 92.0]], ('Receipt5553828', 0.9813977479934692)], [[[149.0, 92.0], [211.0, 92.0], [211.0, 103.0], [149.0, 103.0]], ('User JARED', 0.9343288540840149)], [[[142.0, 103.0], [217.0, 103.0], [217.0, 114.0], [142.0, 114.0]], ('Time11:58AM', 0.8896641135215759)], [[[137.0, 113.0], [223.0, 113.0], [223.0, 126.0], [137.0, 126.0]], ('Date11/13/2016', 0.9933151602745056)], [[[76.0, 160.0], [145.0, 158.0], [145.0, 172.0], [76.0, 174.0]], ('Hot Lava Wash', 0.9528529047966003)], [[[254.0, 155.0], [290.0, 155.0], [290.0, 169.0], [254.0, 169.0]], ('88', 0.7300484776496887)], [[[222.0, 193.0], [240.0, 193.0], [240.0, 206.0], [222.0, 206.0]], ('TAX', 0.9956360459327698)], [[[263.0, 192.0], [295.0, 192.0], [295.0, 206.0], [263.0, 206.0]], ('$1.13', 0.9934599995613098)], [[[207.0, 205.0], [236.0, 205.0], [236.0, 219.0], [207.0, 219.0]], ('TOTAL', 0.9971244931221008)], [[[258.0, 205.0], [295.0, 202.0], [296.0, 217.0], [259.0, 220.0]], ('$20.00', 0.993596613407135)], [[[143.0, 245.0], [224.0, 245.0], [224.0, 259.0], [143.0, 259.0]], ('Payment Methods', 0.9493407607078552)], [[[72.0, 274.0], [130.0, 274.0], [130.0, 288.0], [72.0, 288.0]], ('CreditCard', 0.9948434829711914)], [[[152.0, 274.0], [241.0, 274.0], [241.0, 287.0], [152.0, 287.0]], ('************4008', 0.9709969758987427)], [[[265.0, 272.0], [304.0, 272.0], [304.0, 287.0], [265.0, 287.0]], ('$20.00', 0.9971062541007996)], [[[140.0, 316.0], [231.0, 316.0], [231.0, 330.0], [140.0, 330.0]], ('Promotional Code', 0.9281032681465149)]]
{"store_name": "DETAILCENTER", "store_addr": "GlensidePennsylvania19038 401WestGlensideAve.", "telephone": "(215)576-5300", "date": "11/13/2016", "time": "11:58AM", "subtotal": "", "tax": "$1.13", "total": "$20.00 $20.00", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "HotLavaWash", "item_value": "$18.87", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[238.0, 31.0], [283.0, 27.0], [285.0, 46.0], [240.0, 51.0]], ('7-2', 0.6507529616355896)], [[[126.0, 45.0], [170.0, 45.0], [170.0, 59.0], [126.0, 59.0]], ('C.PATHA', 0.9149800539016724)], [[[75.0, 57.0], [220.0, 54.0], [221.0, 70.0], [75.0, 73.0]], ('P&HHa11Plot NoC20PC21', 0.7846031188964844)], [[[83.0, 69.0], [214.0, 66.0], [214.0, 82.0], [83.0, 86.0]], ('Patliputra Industrial Area', 0.9391052722930908)], [[[101.0, 80.0], [196.0, 77.0], [197.0, 93.0], [101.0, 97.0]], ('Patna, Bihar 800013', 0.9114124774932861)], [[[98.0, 101.0], [199.0, 98.0], [200.0, 116.0], [98.0, 119.0]], ('IVOICE NO.078503', 0.879571795463562)], [[[8.0, 117.0], [127.0, 114.0], [127.0, 129.0], [9.0, 131.0]], ('Point ot Sale:535CNC04', 0.9036861062049866)], [[[8.0, 129.0], [103.0, 128.0], [103.0, 142.0], [9.0, 143.0]], ('Date:20:27 08Sep17', 0.9236738681793213)], [[[10.0, 152.0], [83.0, 150.0], [84.0, 164.0], [11.0, 166.0]], ('Item/Qty(Rate)', 0.9272904396057129)], [[[149.0, 148.0], [171.0, 148.0], [171.0, 160.0], [149.0, 160.0]], ('CGST', 0.7713369727134705)], [[[196.0, 146.0], [219.0, 146.0], [219.0, 161.0], [196.0, 161.0]], ('SS9T', 0.8091079592704773)], [[[254.0, 145.0], [285.0, 145.0], [285.0, 160.0], [254.0, 160.0]], ('AMOUNT', 0.9621735215187073)], [[[10.0, 164.0], [70.0, 162.0], [70.0, 175.0], [11.0, 177.0]], ('SAMOSAPACK', 0.9668208360671997)], [[[145.0, 160.0], [186.0, 160.0], [186.0, 171.0], [145.0, 171.0]], ('20006', 0.9640714526176453)], [[[183.0, 160.0], [231.0, 160.0], [231.0, 171.0], [183.0, 171.0]], ('9.000Z', 0.8736958503723145)], [[[10.0, 176.0], [88.0, 173.0], [89.0, 186.0], [11.0, 189.0]], ('2109.00', 0.8366011381149292)], [[[142.0, 172.0], [177.0, 172.0], [177.0, 183.0], [142.0, 183.0]], ('18.00', 0.8968842625617981)], [[[187.0, 170.0], [217.0, 170.0], [217.0, 184.0], [187.0, 184.0]], ('18.00', 0.9924672245979309)], [[[248.0, 169.0], [281.0, 166.0], [282.0, 181.0], [249.0, 184.0]], ('236.00', 0.989010751247406)], [[[10.0, 186.0], [103.0, 184.0], [104.0, 198.0], [11.0, 200.0]], ('SHALL FLAV POPCORN', 0.8839190006256104)], [[[141.0, 182.0], [232.0, 180.0], [232.0, 194.0], [142.0, 196.0]], ('2000620006', 0.9073737859725952)], [[[16.0, 198.0], [89.0, 196.0], [89.0, 210.0], [16.0, 212.0]], ('180.00', 0.9823977947235107)], [[[141.0, 195.0], [172.0, 195.0], [172.0, 206.0], [141.0, 206.0]], ('32.40', 0.9912652969360352)], [[[188.0, 194.0], [216.0, 194.0], [216.0, 205.0], [188.0, 205.0]], ('32.40', 0.9795931577682495)], [[[250.0, 190.0], [283.0, 190.0], [283.0, 205.0], [250.0, 205.0]], ('424.80', 0.9904859662055969)], [[[12.0, 210.0], [62.0, 208.0], [63.0, 221.0], [13.0, 223.0]], ('COKEZERO', 0.7797942757606506)], [[[142.0, 205.0], [232.0, 202.0], [233.0, 216.0], [143.0, 219.0]], ('9.00029.000z', 0.933710515499115)], [[[56.0, 219.0], [89.0, 217.0], [90.0, 232.0], [57.0, 234.0]], ('50.85', 0.9806710481643677)], [[[140.0, 217.0], [171.0, 217.0], [171.0, 231.0], [140.0, 231.0]], ('18.32', 0.9733949899673462)], [[[187.0, 215.0], [218.0, 215.0], [218.0, 229.0], [187.0, 229.0]], ('18.32', 0.9905848503112793)], [[[251.0, 212.0], [285.0, 212.0], [285.0, 227.0], [251.0, 227.0]], ('240.04', 0.9916915893554688)], [[[169.0, 243.0], [221.0, 241.0], [222.0, 256.0], [170.0, 258.0]], ('Paid With:', 0.9154093861579895)], [[[185.0, 255.0], [228.0, 253.0], [229.0, 267.0], [186.0, 269.0]], ('HS', 0.6234064102172852)], [[[251.0, 252.0], [289.0, 250.0], [290.0, 265.0], [252.0, 267.0]], ('1000.00', 0.9953344464302063)], [[[15.0, 283.0], [46.0, 283.0], [46.0, 298.0], [15.0, 298.0]], ('TOTAL:', 0.9867627024650574)], [[[76.0, 282.0], [111.0, 282.0], [111.0, 297.0], [76.0, 297.0]], ('763.40', 0.9942315220832825)], [[[172.0, 278.0], [201.0, 278.0], [201.0, 293.0], [172.0, 293.0]], ('68.72', 0.9950628280639648)], [[[215.0, 276.0], [244.0, 276.0], [244.0, 291.0], [215.0, 291.0]], ('68.72', 0.9605470895767212)], [[[287.0, 276.0], [294.0, 276.0], [294.0, 288.0], [287.0, 288.0]], ('6', 0.5523403286933899)], [[[14.0, 297.0], [43.0, 294.0], [44.0, 309.0], [15.0, 312.0]], ('00.84', 0.9896529912948608)], [[[150.0, 314.0], [229.0, 314.0], [229.0, 327.0], [150.0, 327.0]], ('TOTAL PAYBLE:RS', 0.9411893486976624)], [[[240.0, 314.0], [275.0, 311.0], [276.0, 325.0], [241.0, 328.0]], ('900.84', 0.9897980093955994)], [[[143.0, 324.0], [231.0, 324.0], [231.0, 342.0], [143.0, 342.0]], ('ROUNDIG OFFRS', 0.9503610134124756)], [[[266.0, 324.0], [296.0, 324.0], [296.0, 340.0], [266.0, 340.0]], ('0.84', 0.9845314025878906)], [[[145.0, 351.0], [207.0, 351.0], [207.0, 365.0], [145.0, 365.0]], ('TOTAL PAID', 0.9455721974372864)], [[[216.0, 351.0], [261.0, 351.0], [261.0, 365.0], [216.0, 365.0]], ('RS900.00', 0.9712084531784058)], [[[145.0, 374.0], [182.0, 371.0], [183.0, 386.0], [146.0, 389.0]], ('CHANGE:', 0.9819393157958984)], [[[208.0, 376.0], [222.0, 376.0], [222.0, 389.0], [208.0, 389.0]], ('RS', 0.9924582242965698)], [[[239.0, 376.0], [275.0, 376.0], [275.0, 390.0], [239.0, 390.0]], ('100.00', 0.9873537421226501)]]
{"store_name": "C.PATNA", "store_addr": "Patna,Bihar800013 PatliputraIndustrialArea P&MMall,PlotNo-C20P,C21", "telephone": "", "date": "08sep17", "time": "20:27", "subtotal": "900.84", "tax": "18.32 18.32 32.40 32.40 18.00 18.00", "total": "RS900.00", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "COKEZERO", "item_value": "240.04", "item_quantity": "1"}, {"item_key": "", "item_name": "SMALLfLAVPOPCORN", "item_value": "424.80", "item_quantity": "1"}, {"item_key": "", "item_name": "SAMOSAPACK", "item_value": "235.00", "item_quantity": "1"}, {"item_key": "Item/Qty(Rate)", "item_name": "", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[72.0, 2.0], [188.0, 1.0], [188.0, 15.0], [72.0, 16.0]], ('Sp cy Chipot le Chkn Pizza', 0.8465372323989868)], [[[240.0, 0.0], [264.0, 0.0], [264.0, 11.0], [240.0, 11.0]], ('13.49', 0.9952918291091919)], [[[74.0, 14.0], [135.0, 14.0], [135.0, 24.0], [74.0, 24.0]], ('Local Draft 1', 0.8902568221092224)], [[[241.0, 8.0], [264.0, 8.0], [264.0, 20.0], [241.0, 20.0]], ('6.29', 0.9641154408454895)], [[[72.0, 32.0], [146.0, 32.0], [146.0, 43.0], [72.0, 43.0]], ('Free Saall Plate', 0.8594942688941956)], [[[240.0, 29.0], [265.0, 29.0], [265.0, 40.0], [240.0, 40.0]], ('-5.69', 0.9582884907722473)], [[[67.0, 60.0], [246.0, 59.0], [246.0, 73.0], [67.0, 74.0]], ('Me would love to hear fros you! Go to', 0.8558048605918884)], [[[66.0, 81.0], [260.0, 81.0], [260.0, 95.0], [66.0, 95.0]], ('and tel1 us about your experience at CPK', 0.8945401906967163)], [[[67.0, 72.0], [252.0, 72.0], [252.0, 85.0], [67.0, 85.0]], ('.cpksurvey.cos in the next two days', 0.9143460988998413)], [[[63.0, 100.0], [165.0, 102.0], [165.0, 116.0], [63.0, 114.0]], ('Swoepstakes Drawing', 0.9135420918464661)], [[[66.0, 112.0], [122.0, 114.0], [121.0, 127.0], [65.0, 124.0]], ('Enter code:', 0.9435771703720093)], [[[64.0, 134.0], [172.0, 135.0], [172.0, 149.0], [64.0, 148.0]], ('258017 002036111', 0.9433664679527283)], [[[63.0, 159.0], [173.0, 159.0], [173.0, 172.0], [63.0, 172.0]], ('NO PURCHASE NECESSARY.', 0.9475560784339905)], [[[62.0, 171.0], [199.0, 171.0], [199.0, 184.0], [62.0, 184.0]], ('Visft ww.cpksurvey.cos for', 0.8741554021835327)], [[[61.0, 183.0], [139.0, 183.0], [139.0, 196.0], [61.0, 196.0]], ('official rules.', 0.9508897662162781)], [[[58.0, 207.0], [234.0, 206.0], [234.0, 219.0], [58.0, 220.0]], ('You can also share feedback or ask', 0.9469361305236816)], [[[59.0, 219.0], [234.0, 219.0], [234.0, 232.0], [59.0, 232.0]], ('questions by ca11ing 800-91-WECARE', 0.9494239687919617)], [[[58.0, 232.0], [143.0, 232.0], [143.0, 245.0], [58.0, 245.0]], ('or visit cpk.com', 0.916562020778656)], [[[54.0, 271.0], [100.0, 271.0], [100.0, 285.0], [54.0, 285.0]], ('Subtotal', 0.9835071563720703)], [[[249.0, 270.0], [280.0, 270.0], [280.0, 285.0], [249.0, 285.0]], ('31.27', 0.9888850450515747)], [[[54.0, 285.0], [73.0, 285.0], [73.0, 298.0], [54.0, 298.0]], ('Tax', 0.991950511932373)], [[[254.0, 284.0], [281.0, 284.0], [281.0, 299.0], [254.0, 299.0]], ('1.88', 0.9741992354393005)], [[[51.0, 311.0], [81.0, 311.0], [81.0, 326.0], [51.0, 326.0]], ('Total', 0.9904220700263977)], [[[251.0, 310.0], [284.0, 310.0], [284.0, 327.0], [251.0, 327.0]], ('33.15', 0.9837101101875305)]]
{"store_name": "", "store_addr": "", "telephone": "", "date": "", "time": "", "subtotal": "31.27", "tax": "1.88", "total": "33.15", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "SpicyChipotleChknPizza", "item_value": "13.49", "item_quantity": "1"}, {"item_key": "", "item_name": "LocalDraft1", "item_value": "6.29", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[62.0, 121.0], [201.0, 121.0], [201.0, 138.0], [62.0, 138.0]], ('TGI Fridays UK', 0.9452987909317017)], [[[80.0, 134.0], [171.0, 135.0], [171.0, 149.0], [80.0, 148.0]], ('6 Bedford Street', 0.9659831523895264)], [[[96.0, 160.0], [161.0, 160.0], [161.0, 171.0], [96.0, 171.0]], ('03446920229', 0.99509596824646)], [[[36.0, 182.0], [100.0, 182.0], [100.0, 196.0], [36.0, 196.0]], ('10012 PAULS', 0.9392271637916565)], [[[29.0, 205.0], [75.0, 205.0], [75.0, 219.0], [29.0, 219.0]], ('Tb141/1', 0.9153798222541809)], [[[110.0, 206.0], [155.0, 206.0], [155.0, 220.0], [110.0, 220.0]], ('Chk2716', 0.9887493848800659)], [[[197.0, 205.0], [233.0, 205.0], [233.0, 220.0], [197.0, 220.0]], ('Gst 2', 0.8809430003166199)], [[[95.0, 219.0], [168.0, 217.0], [168.0, 231.0], [95.0, 233.0]], ('02Dec16 22:20', 0.9080782532691956)], [[[39.0, 243.0], [74.0, 243.0], [74.0, 257.0], [39.0, 257.0]], ('1 Coke', 0.9212862849235535)], [[[187.0, 252.0], [218.0, 254.0], [217.0, 270.0], [186.0, 267.0]], ('12.99', 0.987994372844696)], [[[193.0, 243.0], [216.0, 243.0], [216.0, 255.0], [193.0, 255.0]], ('3.00', 0.992891252040863)], [[[39.0, 257.0], [109.0, 257.0], [109.0, 268.0], [39.0, 268.0]], ('1 Chk Fingers', 0.9196155071258545)], [[[39.0, 269.0], [99.0, 269.0], [99.0, 280.0], [39.0, 280.0]], ('116ozRump', 0.8684344291687012)], [[[188.0, 266.0], [219.0, 266.0], [219.0, 281.0], [188.0, 281.0]], ('23.49', 0.9905438423156738)], [[[44.0, 282.0], [85.0, 278.0], [86.0, 292.0], [45.0, 296.0]], ('Bud Pt', 0.8318445086479187)], [[[194.0, 280.0], [219.0, 280.0], [219.0, 292.0], [194.0, 292.0]], ('4.70', 0.9962267875671387)], [[[28.0, 305.0], [99.0, 303.0], [99.0, 317.0], [28.0, 320.0]], ('2:21 Baance', 0.8753157258033752)], [[[165.0, 304.0], [218.0, 304.0], [218.0, 318.0], [165.0, 318.0]], ('44.18', 0.9966724514961243)], [[[73.0, 363.0], [179.0, 358.0], [180.0, 372.0], [73.0, 377.0]], ('5260338392689', 0.9961033463478088)], [[[77.0, 419.0], [112.0, 421.0], [111.0, 432.0], [77.0, 430.0]], ('ANYTHIN', 0.966188371181488)], [[[84.0, 414.0], [105.0, 414.0], [105.0, 421.0], [84.0, 421.0]], ('ATC', 0.8491619229316711)], [[[134.0, 411.0], [201.0, 408.0], [202.0, 421.0], [135.0, 424.0]], ('AND SCAN THE', 0.9480476379394531)], [[[84.0, 431.0], [113.0, 431.0], [113.0, 438.0], [84.0, 438.0]], ('LATEST', 0.9852264523506165)]]
{"store_name": "TGIFridaysUK", "store_addr": "6BedfordStreet", "telephone": "03446920229", "date": "02Dec'16", "time": "23:21", "subtotal": "", "tax": "", "total": "44.18", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "Coke", "item_value": "3.00", "item_quantity": "1"}, {"item_key": "", "item_name": "ChkFingers", "item_value": "12.99", "item_quantity": "1"}, {"item_key": "", "item_name": "16ozRump", "item_value": "23.49", "item_quantity": "1"}, {"item_key": "", "item_name": "BudPt", "item_value": "4.70", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[184.0, 16.0], [196.0, 16.0], [196.0, 30.0], [184.0, 30.0]], ('2', 0.9947711825370789)], [[[281.0, 14.0], [312.0, 9.0], [314.0, 28.0], [283.0, 32.0]], ('Gst', 0.9870539307594299)], [[[316.0, 8.0], [331.0, 8.0], [331.0, 22.0], [316.0, 22.0]], ('0', 0.8463759422302246)], [[[51.0, 18.0], [102.0, 18.0], [102.0, 34.0], [51.0, 34.0]], ('Chk 445', 0.9409459233283997)], [[[132.0, 30.0], [243.0, 31.0], [243.0, 46.0], [131.0, 44.0]], ("Jun26'15 06:45PM", 0.9024069905281067)], [[[71.0, 59.0], [129.0, 61.0], [128.0, 76.0], [70.0, 74.0]], ('Here', 0.997792661190033)], [[[57.0, 75.0], [177.0, 75.0], [177.0, 89.0], [57.0, 89.0]], ('1 #7 Chicken Mea1', 0.898949384689331)], [[[276.0, 76.0], [313.0, 71.0], [315.0, 90.0], [278.0, 95.0]], ('9.70', 0.9961188435554504)], [[[81.0, 89.0], [200.0, 90.0], [200.0, 107.0], [81.0, 106.0]], ('Chicken Sandwich', 0.9756637811660767)], [[[93.0, 105.0], [163.0, 107.0], [163.0, 124.0], [93.0, 121.0]], ('Sourdough', 0.9968960285186768)], [[[91.0, 120.0], [169.0, 123.0], [169.0, 140.0], [91.0, 137.0]], ('Teri Sauce', 0.9676500558853149)], [[[88.0, 137.0], [199.0, 142.0], [198.0, 158.0], [88.0, 154.0]], ('Grilled Onions', 0.9615668058395386)], [[[72.0, 154.0], [166.0, 158.0], [166.0, 175.0], [71.0, 171.0]], ('French Fries', 0.9739804267883301)], [[[70.0, 172.0], [174.0, 176.0], [174.0, 193.0], [69.0, 189.0]], ('Soda-Medium', 0.9775450229644775)], [[[38.0, 189.0], [141.0, 194.0], [140.0, 212.0], [37.0, 206.0]], ('1 Onion Rings', 0.9316616654396057)], [[[281.0, 198.0], [322.0, 198.0], [322.0, 219.0], [281.0, 219.0]], ('2.35', 0.9942139387130737)], [[[41.0, 208.0], [135.0, 213.0], [134.0, 231.0], [40.0, 226.0]], ('XXXXXXXXXXX', 0.6585824489593506)], [[[45.0, 228.0], [82.0, 231.0], [81.0, 250.0], [44.0, 247.0]], ('Visa', 0.9974738359451294)], [[[278.0, 236.0], [324.0, 239.0], [322.0, 260.0], [276.0, 258.0]], ('13.01', 0.9948979616165161)], [[[39.0, 269.0], [109.0, 272.0], [108.0, 293.0], [38.0, 289.0]], ('Subtotal', 0.9931491613388062)], [[[279.0, 279.0], [328.0, 282.0], [326.0, 304.0], [277.0, 301.0]], ('12.05', 0.9964191317558289)], [[[38.0, 292.0], [67.0, 292.0], [67.0, 312.0], [38.0, 312.0]], ('Tax', 0.9963235855102539)], [[[286.0, 302.0], [329.0, 305.0], [327.0, 327.0], [284.0, 324.0]], ('0.96', 0.9949907064437866)], [[[34.0, 312.0], [98.0, 316.0], [97.0, 337.0], [33.0, 334.0]], ('Payment', 0.9977611899375916)], [[[281.0, 325.0], [328.0, 328.0], [326.0, 347.0], [279.0, 346.0]], ('13.01', 0.9961239695549011)]]
{"store_name": "", "store_addr": "", "telephone": "", "date": "Jun26'15", "time": "06:45PM", "subtotal": "12.05", "tax": "0.96", "total": "13.01 13.01", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "#7ChickenMeal", "item_value": "9.70", "item_quantity": "1"}, {"item_key": "", "item_name": "ChickenSandwich", "item_value": "2.35", "item_quantity": "1"}, {"item_key": "", "item_name": "Sourdough", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "TeriSauce", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "GrilledOnions", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "FrenchFries", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "Soda-Medium", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "OnionRings", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[74.0, 28.0], [214.0, 39.0], [213.0, 55.0], [73.0, 44.0]], ('RAJA RAJESHHARA AGENCIES', 0.9437522888183594)], [[[80.0, 56.0], [209.0, 65.0], [208.0, 82.0], [79.0, 73.0]], ('TIN NUMBER 37949179548', 0.9430662393569946)], [[[113.0, 47.0], [177.0, 49.0], [176.0, 63.0], [113.0, 61.0]], ('VIJAYANADA', 0.9474610090255737)], [[[90.0, 71.0], [199.0, 79.0], [197.0, 96.0], [88.0, 88.0]], ('PH.NO:0866-6767707', 0.9555635452270508)], [[[79.0, 85.0], [208.0, 93.0], [207.0, 110.0], [78.0, 102.0]], ('ST.NOA0BPA2332JSS0001', 0.9471583366394043)], [[[25.0, 113.0], [105.0, 116.0], [104.0, 133.0], [25.0, 130.0]], ('CASHIER ID:01', 0.928272545337677)], [[[177.0, 118.0], [265.0, 122.0], [265.0, 137.0], [176.0, 133.0]], ('Date:19-08-2016', 0.9577866792678833)], [[[24.0, 128.0], [106.0, 131.0], [105.0, 148.0], [24.0, 146.0]], ('Station ID:01', 0.8270262479782104)], [[[24.0, 143.0], [85.0, 146.0], [84.0, 161.0], [24.0, 159.0]], ('Table:039', 0.9208840131759644)], [[[174.0, 136.0], [265.0, 136.0], [265.0, 150.0], [174.0, 150.0]], ('T1me:08:01:06PM', 0.9123637080192566)], [[[23.0, 159.0], [136.0, 162.0], [135.0, 176.0], [23.0, 173.0]], ('CASHIER NAME:ADMIN', 0.9383499622344971)], [[[201.0, 150.0], [266.0, 150.0], [266.0, 164.0], [201.0, 164.0]], ('B111No.39', 0.8709583878517151)], [[[21.0, 171.0], [183.0, 176.0], [182.0, 194.0], [21.0, 189.0]], ('Sect lon Name:QUICK SERVICE', 0.8884629607200623)], [[[19.0, 200.0], [119.0, 203.0], [119.0, 220.0], [19.0, 217.0]], ('SNo Description', 0.9387463331222534)], [[[174.0, 201.0], [270.0, 203.0], [270.0, 218.0], [173.0, 216.0]], ('Rate Qty Price', 0.9123579263687134)], [[[24.0, 232.0], [144.0, 231.0], [144.0, 245.0], [24.0, 246.0]], ('1 NUTELLA HORLICKS', 0.9415204524993896)], [[[143.0, 232.0], [197.0, 232.0], [197.0, 243.0], [143.0, 243.0]], ('125.00', 0.976827085018158)], [[[235.0, 230.0], [276.0, 230.0], [276.0, 244.0], [235.0, 244.0]], ('125.00', 0.9834557175636292)], [[[141.0, 260.0], [192.0, 260.0], [192.0, 274.0], [141.0, 274.0]], ('Subtotal', 0.9864086508750916)], [[[210.0, 260.0], [273.0, 260.0], [273.0, 274.0], [210.0, 274.0]], ('Rs.125.00', 0.9521818161010742)], [[[127.0, 275.0], [190.0, 275.0], [190.0, 292.0], [127.0, 292.0]], ('VAT 14.5%', 0.9428397417068481)], [[[215.0, 274.0], [277.0, 274.0], [277.0, 291.0], [215.0, 291.0]], ('Rs.18.12', 0.9571557641029358)], [[[126.0, 291.0], [190.0, 289.0], [190.0, 306.0], [127.0, 309.0]], ('SRV6.0%', 0.9607844948768616)], [[[222.0, 289.0], [279.0, 289.0], [279.0, 306.0], [222.0, 306.0]], ('Rs7.50', 0.9771226048469543)], [[[121.0, 308.0], [196.0, 308.0], [196.0, 325.0], [121.0, 325.0]], ('Grand Total', 0.9597524404525757)], [[[212.0, 307.0], [280.0, 304.0], [281.0, 321.0], [212.0, 324.0]], ('Rs.151.00', 0.9630599617958069)], [[[146.0, 326.0], [198.0, 324.0], [198.0, 342.0], [146.0, 344.0]], ('paid by', 0.9711440205574036)], [[[247.0, 322.0], [277.0, 322.0], [277.0, 339.0], [247.0, 339.0]], ('Cash', 0.9620258808135986)], [[[168.0, 344.0], [199.0, 344.0], [199.0, 360.0], [168.0, 360.0]], ('Cash', 0.9966368675231934)], [[[221.0, 340.0], [292.0, 337.0], [292.0, 355.0], [222.0, 358.0]], ('Rs.151.00', 0.9767608642578125)], [[[156.0, 361.0], [200.0, 361.0], [200.0, 379.0], [156.0, 379.0]], ('CHANGE', 0.9980552792549133)], [[[228.0, 358.0], [288.0, 355.0], [288.0, 374.0], [229.0, 376.0]], ('Rs.0.00', 0.9782673716545105)], [[[121.0, 382.0], [188.0, 378.0], [189.0, 397.0], [122.0, 400.0]], ('THANK YOU', 0.9466990232467651)], [[[83.0, 402.0], [217.0, 395.0], [219.0, 416.0], [84.0, 422.0]], ('PLEASE VISIT AGAIN', 0.9563977122306824)]]
{"store_name": "RAJARAJESHWARAAGENCIES", "store_addr": "VIJAYAWADA", "telephone": "0866-6767707", "date": "19-08-2016", "time": "08:01:06PM", "subtotal": "125.00", "tax": "18.12", "total": "151.00", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "NUTELLAHORLICKS", "item_value": "125.00", "item_quantity": "1"}, {"item_key": "Description", "item_name": "", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[73.0, 47.0], [234.0, 63.0], [233.0, 77.0], [72.0, 61.0]], ('TAI CHONG SEAFOOD SDN BHD', 0.9286246299743652)], [[[134.0, 65.0], [176.0, 70.0], [175.0, 81.0], [133.0, 76.0]], ('557501-K', 0.9185783863067627)], [[[130.0, 76.0], [177.0, 80.0], [176.0, 93.0], [129.0, 89.0]], ('75E75G', 0.9160849452018738)], [[[101.0, 86.0], [207.0, 94.0], [206.0, 108.0], [100.0, 100.0]], ('JALAN CHANGKAT JONG.', 0.9340106248855591)], [[[95.0, 98.0], [212.0, 106.0], [211.0, 119.0], [94.0, 111.0]], ('36000TELUKNTAN.PERAK', 0.9373092651367188)], [[[81.0, 117.0], [233.0, 127.0], [232.0, 141.0], [80.0, 131.0]], ('TEL05-6212416FAX05-6227867', 0.9553613066673279)], [[[107.0, 133.0], [212.0, 139.0], [211.0, 152.0], [106.0, 146.0]], ('GSTNO001323335680', 0.9592937231063843)], [[[130.0, 147.0], [191.0, 151.0], [190.0, 165.0], [129.0, 161.0]], ('TAX INVOICE', 0.9712257981300354)], [[[60.0, 158.0], [90.0, 161.0], [89.0, 173.0], [59.0, 170.0]], ('BaTo', 0.7439265251159668)], [[[61.0, 177.0], [104.0, 177.0], [104.0, 188.0], [61.0, 188.0]], ('Receipt#', 0.9246864318847656)], [[[110.0, 175.0], [171.0, 179.0], [170.0, 190.0], [109.0, 186.0]], ('CS00004071', 0.9330867528915405)], [[[60.0, 188.0], [83.0, 191.0], [82.0, 203.0], [59.0, 201.0]], ('Staff', 0.979279637336731)], [[[174.0, 180.0], [215.0, 180.0], [215.0, 191.0], [174.0, 191.0]], ('Table19', 0.946602463722229)], [[[175.0, 190.0], [245.0, 192.0], [245.0, 206.0], [175.0, 204.0]], ('Dat05/10/2016', 0.8934321999549866)], [[[60.0, 205.0], [95.0, 205.0], [95.0, 216.0], [60.0, 216.0]], ('Cashier', 0.8595215678215027)], [[[113.0, 203.0], [140.0, 205.0], [139.0, 217.0], [112.0, 215.0]], ('USER', 0.9966446757316589)], [[[177.0, 206.0], [237.0, 206.0], [237.0, 217.0], [177.0, 217.0]], ('Time21:36.00', 0.8390750288963318)], [[[209.0, 229.0], [251.0, 231.0], [251.0, 242.0], [208.0, 240.0]], ('AMOUNT', 0.9817349314689636)], [[[227.0, 221.0], [252.0, 223.0], [251.0, 234.0], [226.0, 232.0]], ('(GST)', 0.9944291114807129)], [[[57.0, 239.0], [143.0, 238.0], [143.0, 252.0], [57.0, 253.0]], ('SR STEAMED EGG', 0.9369111657142639)], [[[60.0, 233.0], [80.0, 233.0], [80.0, 241.0], [60.0, 241.0]], ('Item', 0.7811481952667236)], [[[159.0, 232.0], [210.0, 232.0], [210.0, 243.0], [159.0, 243.0]], ('Qty U.Price', 0.9420772194862366)], [[[185.0, 240.0], [209.0, 240.0], [209.0, 251.0], [185.0, 251.0]], ('10.00', 0.9714635610580444)], [[[228.0, 240.0], [253.0, 240.0], [253.0, 251.0], [228.0, 251.0]], ('10.00', 0.9548962712287903)], [[[59.0, 252.0], [100.0, 252.0], [100.0, 263.0], [59.0, 263.0]], ('SRFISH', 0.9859445691108704)], [[[185.0, 250.0], [210.0, 250.0], [210.0, 262.0], [185.0, 262.0]], ('24.00', 0.9745537042617798)], [[[230.0, 248.0], [253.0, 250.0], [252.0, 263.0], [229.0, 260.0]], ('24.00', 0.8940798044204712)], [[[58.0, 266.0], [136.0, 266.0], [136.0, 279.0], [58.0, 279.0]], ('SR VEGETABLES', 0.9508792161941528)], [[[169.0, 268.0], [176.0, 268.0], [176.0, 275.0], [169.0, 275.0]], ('1', 0.8716000914573669)], [[[186.0, 265.0], [211.0, 265.0], [211.0, 277.0], [186.0, 277.0]], ('15.00', 0.9276440739631653)], [[[231.0, 264.0], [254.0, 264.0], [254.0, 276.0], [231.0, 276.0]], ('15.00', 0.9209438562393188)], [[[59.0, 283.0], [99.0, 283.0], [99.0, 294.0], [59.0, 294.0]], ('SR.RICE', 0.9335976839065552)], [[[168.0, 281.0], [177.0, 281.0], [177.0, 290.0], [168.0, 290.0]], ('1', 0.8788133859634399)], [[[192.0, 278.0], [211.0, 281.0], [209.0, 294.0], [190.0, 291.0]], ('120', 0.9946475028991699)], [[[234.0, 279.0], [254.0, 279.0], [254.0, 291.0], [234.0, 291.0]], ('1.20', 0.9118245244026184)], [[[56.0, 297.0], [137.0, 295.0], [137.0, 308.0], [56.0, 311.0]], ('SRCHINESE TEA', 0.9607952833175659)], [[[168.0, 296.0], [178.0, 296.0], [178.0, 306.0], [168.0, 306.0]], ('1', 0.9415609240531921)], [[[191.0, 293.0], [212.0, 296.0], [210.0, 308.0], [190.0, 305.0]], ('300', 0.9901474118232727)], [[[235.0, 293.0], [255.0, 293.0], [255.0, 305.0], [235.0, 305.0]], ('300', 0.998121976852417)], [[[121.0, 312.0], [154.0, 312.0], [154.0, 323.0], [121.0, 323.0]], ('TOTAL', 0.9968878030776978)], [[[168.0, 312.0], [177.0, 312.0], [177.0, 322.0], [168.0, 322.0]], ('5', 0.5657466650009155)], [[[233.0, 308.0], [256.0, 308.0], [256.0, 319.0], [233.0, 319.0]], ('53.20', 0.9652204513549805)], [[[76.0, 337.0], [179.0, 331.0], [180.0, 344.0], [77.0, 350.0]], ('Excuded GSTSub Total', 0.8591762781143188)], [[[219.0, 329.0], [241.0, 329.0], [241.0, 342.0], [219.0, 342.0]], ('50.18', 0.9636669158935547)], [[[144.0, 350.0], [180.0, 350.0], [180.0, 361.0], [144.0, 361.0]], ('Discount', 0.9954281449317932)], [[[223.0, 345.0], [243.0, 345.0], [243.0, 357.0], [223.0, 357.0]], ('0.00', 0.9320262670516968)], [[[115.0, 366.0], [180.0, 362.0], [181.0, 376.0], [115.0, 380.0]], ('Service Charge', 0.9109266400337219)], [[[224.0, 360.0], [243.0, 360.0], [243.0, 372.0], [224.0, 372.0]], ('0.00', 0.8988519906997681)], [[[137.0, 380.0], [181.0, 377.0], [182.0, 392.0], [138.0, 394.0]], ('Tota GST', 0.8558663129806519)], [[[225.0, 375.0], [244.0, 375.0], [244.0, 387.0], [225.0, 387.0]], ('3.01', 0.960495114326477)], [[[141.0, 396.0], [182.0, 396.0], [182.0, 410.0], [141.0, 410.0]], ('Rounding', 0.996783435344696)], [[[225.0, 389.0], [245.0, 389.0], [245.0, 403.0], [225.0, 403.0]], ('0.01', 0.9754568934440613)], [[[141.0, 413.0], [180.0, 411.0], [181.0, 426.0], [142.0, 428.0]], ('TOTAL', 0.998471736907959)], [[[217.0, 406.0], [245.0, 406.0], [245.0, 421.0], [217.0, 421.0]], ('63.20', 0.9088730812072754)], [[[146.0, 429.0], [181.0, 427.0], [182.0, 442.0], [148.0, 444.0]], ('CASH', 0.9978094100952148)], [[[216.0, 423.0], [246.0, 419.0], [248.0, 435.0], [218.0, 439.0]], ('63.20', 0.924155592918396)], [[[224.0, 441.0], [246.0, 441.0], [246.0, 449.0], [224.0, 449.0]], ('0.00', 0.9898219108581543)]]
{"store_name": "TAICHONGSEAFOODSDNBHD", "store_addr": "76E\u00b775G JALANCHANGKATJONG. 36000TELUKINTANPERAK", "telephone": "05-6212416", "date": "05/10/2016", "time": "21:36:00", "subtotal": "50.18", "tax": "3.01", "total": "53.20", "ignore": " ", "tips": "0.00", "line_items": [{"item_key": "", "item_name": "STEAMEDEGG", "item_value": "10.00", "item_quantity": "1"}, {"item_key": "", "item_name": "FISH", "item_value": "24.00", "item_quantity": "1"}, {"item_key": "", "item_name": "VEGETABLES", "item_value": "15.00", "item_quantity": "1"}, {"item_key": "", "item_name": "RICE", "item_value": "1.20", "item_quantity": "1"}, {"item_key": "", "item_name": "CHINESETEA", "item_value": "3.00", "item_quantity": "1"}, {"item_key": "Item", "item_name": "", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[117.0, 73.0], [229.0, 73.0], [229.0, 90.0], [117.0, 90.0]], ('Kinton Ranen 5', 0.9611526131629944)], [[[79.0, 90.0], [268.0, 91.0], [268.0, 105.0], [79.0, 104.0]], ('396 Church St.TorontoONM5B 2A2', 0.9253933429718018)], [[[124.0, 103.0], [223.0, 105.0], [223.0, 119.0], [124.0, 117.0]], ('Tel416977-0999', 0.9728015661239624)], [[[57.0, 130.0], [114.0, 130.0], [114.0, 144.0], [57.0, 144.0]], ('DATE/TIME:', 0.9818534851074219)], [[[167.0, 132.0], [212.0, 132.0], [212.0, 143.0], [167.0, 143.0]], ('03/09/17', 0.9976048469543457)], [[[230.0, 131.0], [275.0, 131.0], [275.0, 142.0], [230.0, 142.0]], ('21:19:31', 0.927859902381897)], [[[56.0, 143.0], [135.0, 144.0], [135.0, 158.0], [56.0, 157.0]], ('STATION05-1', 0.9863393902778625)], [[[165.0, 144.0], [211.0, 144.0], [211.0, 158.0], [165.0, 158.0]], ('Server:', 0.9731864929199219)], [[[221.0, 145.0], [272.0, 145.0], [272.0, 156.0], [221.0, 156.0]], ('Christina', 0.9889124631881714)], [[[57.0, 157.0], [185.0, 157.0], [185.0, 171.0], [57.0, 171.0]], ('RECEIPT#005-1-0132-02', 0.9710665941238403)], [[[131.0, 170.0], [217.0, 169.0], [217.0, 187.0], [132.0, 188.0]], ('Hakodate 1', 0.9552862048149109)], [[[157.0, 202.0], [193.0, 202.0], [193.0, 221.0], [157.0, 221.0]], ('Bill', 0.9800925254821777)], [[[52.0, 237.0], [74.0, 237.0], [74.0, 253.0], [52.0, 253.0]], ('Qty', 0.994910717010498)], [[[110.0, 237.0], [154.0, 237.0], [154.0, 252.0], [110.0, 252.0]], ('Product', 0.9931983947753906)], [[[201.0, 233.0], [235.0, 235.0], [233.0, 251.0], [199.0, 249.0]], ('Price', 0.9970176815986633)], [[[263.0, 234.0], [286.0, 234.0], [286.0, 250.0], [263.0, 250.0]], ('Sum', 0.9766706824302673)], [[[53.0, 267.0], [67.0, 267.0], [67.0, 280.0], [53.0, 280.0]], ('1x', 0.9516266584396362)], [[[86.0, 266.0], [181.0, 264.0], [182.0, 278.0], [87.0, 280.0]], ('Chicken Original', 0.9548883438110352)], [[[209.0, 264.0], [240.0, 264.0], [240.0, 278.0], [209.0, 278.0]], ('11.99', 0.9731224775314331)], [[[255.0, 263.0], [287.0, 263.0], [287.0, 278.0], [255.0, 278.0]], ('11.99', 0.9951627850532532)], [[[52.0, 281.0], [76.0, 281.0], [76.0, 296.0], [52.0, 296.0]], ('1x', 0.8537031412124634)], [[[73.0, 281.0], [137.0, 279.0], [137.0, 293.0], [73.0, 295.0]], ('Extra Pork', 0.965124785900116)], [[[210.0, 278.0], [241.0, 278.0], [241.0, 293.0], [210.0, 293.0]], ('15.59', 0.9964116811752319)], [[[255.0, 276.0], [289.0, 276.0], [289.0, 294.0], [255.0, 294.0]], ('15.59', 0.8982585668563843)], [[[53.0, 297.0], [77.0, 297.0], [77.0, 309.0], [53.0, 309.0]], ('1x', 0.8880673050880432)], [[[74.0, 295.0], [126.0, 295.0], [126.0, 309.0], [74.0, 309.0]], ('Hot Sake', 0.9631433486938477)], [[[214.0, 292.0], [243.0, 292.0], [243.0, 307.0], [214.0, 307.0]], ('5.90', 0.9962924718856812)], [[[261.0, 292.0], [289.0, 292.0], [289.0, 307.0], [261.0, 307.0]], ('5.90', 0.9963924884796143)], [[[50.0, 310.0], [176.0, 307.0], [177.0, 322.0], [50.0, 326.0]], ('1x PINK CALPICO SAKE', 0.9123061895370483)], [[[215.0, 307.0], [244.0, 307.0], [244.0, 322.0], [215.0, 322.0]], ('7.00', 0.9956678152084351)], [[[263.0, 307.0], [291.0, 307.0], [291.0, 322.0], [263.0, 322.0]], ('7.00', 0.9887070655822754)], [[[49.0, 339.0], [101.0, 339.0], [101.0, 357.0], [49.0, 357.0]], ('SubTotal', 0.991702675819397)], [[[254.0, 338.0], [293.0, 338.0], [293.0, 353.0], [254.0, 353.0]], ('$40.48', 0.9949589371681213)], [[[48.0, 357.0], [69.0, 357.0], [69.0, 373.0], [48.0, 373.0]], ('HST', 0.9968813061714172)], [[[259.0, 352.0], [296.0, 352.0], [296.0, 370.0], [259.0, 370.0]], ('$5.26', 0.9927446246147156)], [[[88.0, 370.0], [134.0, 370.0], [134.0, 393.0], [88.0, 393.0]], ('TOTAL', 0.9983027577400208)], [[[215.0, 370.0], [274.0, 370.0], [274.0, 391.0], [215.0, 391.0]], ('$45.74', 0.9965078234672546)], [[[118.0, 412.0], [243.0, 410.0], [243.0, 427.0], [118.0, 429.0]], ('TAX:817655137RT0001', 0.9582945108413696)], [[[119.0, 429.0], [235.0, 428.0], [235.0, 445.0], [119.0, 446.0]], ('Arigato Gozaimasu', 0.9797695279121399)]]
{"store_name": "KintonRamen5", "store_addr": "396ChurchSt,Toronto,ON,M5B2A2", "telephone": "(416)977-0999", "date": "03/09/17", "time": "21:19:31", "subtotal": "$40.48", "tax": "$5.26", "total": "$45.74", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "ChickenOriginal", "item_value": "11.99", "item_quantity": "1"}, {"item_key": "", "item_name": "ExtraPork", "item_value": "15.59", "item_quantity": "1"}, {"item_key": "", "item_name": "HotSake", "item_value": "5.90", "item_quantity": "1"}, {"item_key": "", "item_name": "PINKCALPICOSAKE", "item_value": "7.00", "item_quantity": "1"}, {"item_key": "Product", "item_name": "", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[148.0, 3.0], [193.0, 5.0], [193.0, 19.0], [148.0, 17.0]], ('THE RAM', 0.9514617323875427)], [[[117.0, 16.0], [227.0, 19.0], [226.0, 33.0], [117.0, 30.0]], ('RESTAURANT &BREWERY', 0.9655032753944397)], [[[121.0, 29.0], [222.0, 33.0], [221.0, 47.0], [121.0, 43.0]], ('515 12th Street SE', 0.9416502714157104)], [[[127.0, 43.0], [217.0, 44.0], [217.0, 58.0], [127.0, 57.0]], ('SalemOR 97301', 0.9154340028762817)], [[[138.0, 55.0], [208.0, 57.0], [207.0, 71.0], [137.0, 69.0]], ('503.363.1904', 0.9804120063781738)], [[[54.0, 79.0], [129.0, 81.0], [128.0, 96.0], [54.0, 93.0]], ('Server:Laney', 0.9528684020042419)], [[[231.0, 82.0], [286.0, 85.0], [286.0, 99.0], [230.0, 96.0]], ('12/01/2016', 0.9972096681594849)], [[[55.0, 94.0], [74.0, 94.0], [74.0, 106.0], [55.0, 106.0]], ('7/1', 0.9930846691131592)], [[[246.0, 96.0], [287.0, 96.0], [287.0, 110.0], [246.0, 110.0]], ('2:31PM', 0.9148971438407898)], [[[54.0, 106.0], [109.0, 106.0], [109.0, 121.0], [54.0, 121.0]], ('Guests:4', 0.9371188879013062)], [[[257.0, 109.0], [288.0, 109.0], [288.0, 124.0], [257.0, 124.0]], ('50009', 0.9983165860176086)], [[[53.0, 134.0], [146.0, 134.0], [146.0, 147.0], [53.0, 147.0]], ('HILLBILLY BURGER', 0.9652054309844971)], [[[259.0, 135.0], [289.0, 135.0], [289.0, 149.0], [259.0, 149.0]], ('12.50', 0.993466854095459)], [[[52.0, 147.0], [113.0, 147.0], [113.0, 161.0], [52.0, 161.0]], ('MAACEEEEEE', 0.7000418901443481)], [[[260.0, 148.0], [290.0, 148.0], [290.0, 162.0], [260.0, 162.0]], ('13.20', 0.9926473498344421)], [[[62.0, 161.0], [192.0, 161.0], [192.0, 174.0], [62.0, 174.0]], ('MC ADD CHICKEN BLACKEN', 0.9485471844673157)], [[[52.0, 174.0], [200.0, 174.0], [200.0, 187.0], [52.0, 187.0]], ('CUP CHX TORTILLA 2 @3.25', 0.8988263607025146)], [[[265.0, 175.0], [290.0, 175.0], [290.0, 187.0], [265.0, 187.0]], ('6.50', 0.990088701248169)], [[[50.0, 186.0], [196.0, 187.0], [196.0, 201.0], [50.0, 200.0]], ('BTL-COORS LIGHT2 @4.00', 0.8921776413917542)], [[[266.0, 188.0], [293.0, 188.0], [293.0, 201.0], [266.0, 201.0]], ('8.00', 0.986798882484436)], [[[52.0, 201.0], [112.0, 201.0], [112.0, 215.0], [52.0, 215.0]], ('FRENCH DIP', 0.952714741230011)], [[[262.0, 200.0], [292.0, 200.0], [292.0, 215.0], [262.0, 215.0]], ('12.50', 0.9957229495048523)], [[[61.0, 215.0], [129.0, 213.0], [130.0, 227.0], [62.0, 229.0]], ('ADD TO ITEM', 0.927493691444397)], [[[73.0, 229.0], [191.0, 227.0], [191.0, 241.0], [73.0, 243.0]], ('$MUSH GARLIC ROASTED', 0.9488875269889832)], [[[267.0, 226.0], [294.0, 226.0], [294.0, 241.0], [267.0, 241.0]], ('2.00', 0.9925395250320435)], [[[74.0, 243.0], [147.0, 243.0], [147.0, 257.0], [74.0, 257.0]], ('$PEPPER JACK', 0.9514207243919373)], [[[268.0, 241.0], [294.0, 241.0], [294.0, 256.0], [268.0, 256.0]], ('1.00', 0.9952142834663391)], [[[50.0, 272.0], [99.0, 272.0], [99.0, 288.0], [50.0, 288.0]], ('Subtotal', 0.9912247061729431)], [[[262.0, 267.0], [296.0, 267.0], [296.0, 285.0], [262.0, 285.0]], ('55.70', 0.9910351634025574)], [[[49.0, 301.0], [82.0, 301.0], [82.0, 316.0], [49.0, 316.0]], ('Total', 0.9957106709480286)], [[[263.0, 296.0], [296.0, 296.0], [296.0, 311.0], [263.0, 311.0]], ('55.70', 0.9949308633804321)], [[[49.0, 331.0], [181.0, 329.0], [182.0, 343.0], [49.0, 345.0]], ('Balance Due', 0.9344968795776367)], [[[236.0, 323.0], [296.0, 323.0], [296.0, 341.0], [236.0, 341.0]], ('55.70', 0.9967438578605652)], [[[108.0, 360.0], [234.0, 356.0], [234.0, 371.0], [109.0, 374.0]], ('Enter for a chance to', 0.9484193921089172)], [[[100.0, 375.0], [247.0, 368.0], [248.0, 384.0], [100.0, 391.0]], ('win a $100 Ram Gift Card', 0.9260098338127136)], [[[95.0, 392.0], [250.0, 384.0], [251.0, 399.0], [95.0, 406.0]], ('by giving your feedback at', 0.9493227601051331)], [[[118.0, 404.0], [230.0, 400.0], [231.0, 414.0], [118.0, 418.0]], ('ww.telltheram.com', 0.8676428198814392)], [[[96.0, 419.0], [245.0, 411.0], [246.0, 428.0], [97.0, 436.0]], ('Your opinion is va luable!', 0.9230576157569885)]]
{"store_name": "51512thStreetSE RESTAURANT&BREWERY THERAM", "store_addr": "Salem,OR97301", "telephone": "503.363.1904", "date": "12/01/2016", "time": "2:31PM", "subtotal": "55.70", "tax": "", "total": "55.70 55.70", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "$PEPPERJACK", "item_value": "12.50", "item_quantity": "1"}, {"item_key": "", "item_name": "$MUSHGARLICROASTED", "item_value": "13.20", "item_quantity": "1"}, {"item_key": "", "item_name": "ADDTOITEM", "item_value": "6.50", "item_quantity": "1"}, {"item_key": "", "item_name": "FRENCHDIP", "item_value": "8.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BTL-COORSLIGHT", "item_value": "12.50", "item_quantity": "1"}, {"item_key": "", "item_name": "CUPCHXTORTILLA", "item_value": "2.00", "item_quantity": "1"}, {"item_key": "", "item_name": "MCADDCHICKENBLACKEN", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "MAC&CHEESE", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "HILLBILLYBURGER", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[48.0, 35.0], [120.0, 32.0], [121.0, 53.0], [49.0, 57.0]], ('APLICATE', 0.9036475419998169)], [[[80.0, 62.0], [165.0, 67.0], [165.0, 81.0], [79.0, 76.0]], ('BADEMIYA', 0.9969438314437866)], [[[95.0, 76.0], [154.0, 81.0], [152.0, 95.0], [94.0, 90.0]], ('Restaurent', 0.9677625894546509)], [[[82.0, 89.0], [167.0, 94.0], [167.0, 108.0], [81.0, 103.0]], ('19-A,Ram Manston', 0.8727902173995972)], [[[85.0, 102.0], [163.0, 106.0], [163.0, 121.0], [85.0, 117.0]], ('Navroji F.Road', 0.8625670075416565)], [[[69.0, 116.0], [176.0, 119.0], [176.0, 133.0], [69.0, 130.0]], ('Co1aba,Mumba1 400001', 0.8826322555541992)], [[[72.0, 130.0], [165.0, 133.0], [165.0, 147.0], [72.0, 145.0]], ('TAX INVOICE', 0.9045940041542053)], [[[15.0, 155.0], [102.0, 155.0], [102.0, 169.0], [15.0, 169.0]], ('Date27/01/17', 0.9599319100379944)], [[[124.0, 152.0], [180.0, 155.0], [179.0, 169.0], [123.0, 167.0]], ('B111', 0.8259900808334351)], [[[16.0, 168.0], [66.0, 168.0], [66.0, 184.0], [16.0, 184.0]], ('T.ND.:5', 0.8314008712768555)], [[[124.0, 165.0], [162.0, 168.0], [161.0, 182.0], [123.0, 180.0]], ('W.NO', 0.8187086582183838)], [[[167.0, 168.0], [189.0, 168.0], [189.0, 180.0], [167.0, 180.0]], (':2', 0.9246525764465332)], [[[16.0, 196.0], [82.0, 196.0], [82.0, 210.0], [16.0, 210.0]], ('Particulars', 0.9836841821670532)], [[[122.0, 194.0], [184.0, 191.0], [185.0, 205.0], [123.0, 208.0]], ('Dty Rate', 0.8171744346618652)], [[[186.0, 193.0], [217.0, 193.0], [217.0, 204.0], [186.0, 204.0]], ('Anount', 0.8519502282142639)], [[[17.0, 223.0], [94.0, 220.0], [94.0, 233.0], [17.0, 236.0]], ('MINERAL WATER', 0.926196813583374)], [[[147.0, 219.0], [155.0, 219.0], [155.0, 229.0], [147.0, 229.0]], ('1', 0.5937595367431641)], [[[164.0, 217.0], [179.0, 217.0], [179.0, 231.0], [164.0, 231.0]], ('30', 0.9955093860626221)], [[[205.0, 215.0], [217.0, 215.0], [217.0, 230.0], [205.0, 230.0]], ('30', 0.9728291034698486)], [[[16.0, 236.0], [103.0, 230.0], [104.0, 244.0], [18.0, 250.0]], ('MTN SEEKH KABAB', 0.940836489200592)], [[[157.0, 227.0], [182.0, 227.0], [182.0, 258.0], [157.0, 258.0]], ('280', 0.5748700499534607)], [[[201.0, 228.0], [217.0, 228.0], [217.0, 242.0], [201.0, 242.0]], ('230', 0.7010685801506042)], [[[18.0, 247.0], [93.0, 243.0], [94.0, 257.0], [19.0, 261.0]], ('MURG MUSALLAM', 0.9109911322593689)], [[[146.0, 243.0], [155.0, 243.0], [155.0, 253.0], [146.0, 253.0]], ('1', 0.9764180779457092)], [[[200.0, 238.0], [218.0, 238.0], [218.0, 255.0], [200.0, 255.0]], ('250', 0.8809669613838196)], [[[20.0, 257.0], [83.0, 255.0], [83.0, 270.0], [20.0, 272.0]], ('RUMALI ROTI', 0.9015845656394958)], [[[145.0, 254.0], [158.0, 254.0], [158.0, 267.0], [145.0, 267.0]], ('6', 0.874826967716217)], [[[162.0, 253.0], [179.0, 253.0], [179.0, 267.0], [162.0, 267.0]], ('30', 0.9770300388336182)], [[[202.0, 250.0], [220.0, 253.0], [218.0, 266.0], [200.0, 263.0]], ('180', 0.9662166237831116)], [[[21.0, 271.0], [84.0, 269.0], [84.0, 283.0], [21.0, 285.0]], ('SHAHI TUKDA', 0.9562097191810608)], [[[146.0, 265.0], [182.0, 265.0], [182.0, 280.0], [146.0, 280.0]], ('1.110', 0.917566180229187)], [[[203.0, 264.0], [221.0, 264.0], [221.0, 276.0], [203.0, 276.0]], ('110', 0.8936875462532043)], [[[112.0, 292.0], [173.0, 291.0], [173.0, 306.0], [112.0, 307.0]], ('Sub Total', 0.8949096202850342)], [[[190.0, 288.0], [224.0, 288.0], [224.0, 303.0], [190.0, 303.0]], ('810.00', 0.9608111381530762)], [[[121.0, 307.0], [168.0, 304.0], [168.0, 318.0], [122.0, 321.0]], ('VAT ', 0.9027924537658691)], [[[195.0, 302.0], [226.0, 302.0], [226.0, 316.0], [195.0, 316.0]], ('64.80', 0.9603391885757446)], [[[69.0, 337.0], [143.0, 332.0], [144.0, 346.0], [70.0, 351.0]], ('Grand Tota1:', 0.874359130859375)], [[[194.0, 328.0], [227.0, 328.0], [227.0, 344.0], [194.0, 344.0]], ('875', 0.9991082549095154)], [[[20.0, 339.0], [76.0, 336.0], [76.0, 351.0], [20.0, 354.0]], ('5/10/2', 0.9912082552909851)], [[[20.0, 369.0], [124.0, 360.0], [125.0, 375.0], [22.0, 384.0]], ('vat no27960020760', 0.9771251678466797)], [[[87.0, 378.0], [142.0, 375.0], [143.0, 390.0], [87.0, 392.0]], ('Thank You', 0.9556543827056885)], [[[170.0, 371.0], [230.0, 366.0], [232.0, 383.0], [171.0, 388.0]], ('Visit Again', 0.8516941070556641)], [[[22.0, 381.0], [64.0, 381.0], [64.0, 396.0], [22.0, 396.0]], ('E.80.E.', 0.8906413316726685)]]
{"store_name": "Restaurant BADEMIYA", "store_addr": "Colaba,Mumbai400001 NavrojiF,Road 19-A.RamMansion", "telephone": "", "date": "27/01/17", "time": "", "subtotal": "810.00", "tax": "64.80", "total": "875", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "SHAHITUKDA", "item_value": "110", "item_quantity": "1"}, {"item_key": "", "item_name": "RUMALIROTI", "item_value": "180", "item_quantity": "1"}, {"item_key": "", "item_name": "MURGMUSALLAM", "item_value": "260", "item_quantity": "1"}, {"item_key": "", "item_name": "MTNSEEKHKABAB", "item_value": "230", "item_quantity": "1"}, {"item_key": "", "item_name": "MINERALWATER", "item_value": "30", "item_quantity": "1"}, {"item_key": "Particulars", "item_name": "", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[138.0, 11.0], [216.0, 11.0], [216.0, 29.0], [138.0, 29.0]], ('HSBC', 0.9636324644088745)], [[[152.0, 78.0], [222.0, 83.0], [221.0, 97.0], [151.0, 92.0]], ('GINGER', 0.9961974620819092)], [[[158.0, 91.0], [227.0, 95.0], [226.0, 108.0], [157.0, 104.0]], ('THAI CUISINE', 0.9530171751976013)], [[[145.0, 111.0], [239.0, 116.0], [239.0, 130.0], [145.0, 125.0]], ('REEK M SON BHD', 0.8760837316513062)], [[[139.0, 123.0], [243.0, 127.0], [243.0, 141.0], [139.0, 137.0]], ('SSM980198-H', 0.9741740822792053)], [[[134.0, 135.0], [254.0, 139.0], [253.0, 153.0], [133.0, 150.0]], ('GST NO:000836648960', 0.9436381459236145)], [[[128.0, 148.0], [260.0, 150.0], [260.0, 164.0], [128.0, 162.0]], ('LOT M-12 CENTRE MARKET', 0.9482789635658264)], [[[105.0, 160.0], [279.0, 163.0], [278.0, 177.0], [105.0, 174.0]], ('JALANN HANG KASTURI 50050 K.L', 0.9352275133132935)], [[[138.0, 173.0], [252.0, 176.0], [251.0, 190.0], [137.0, 187.0]], ('T&F603-22737371', 0.9911224246025085)], [[[128.0, 186.0], [263.0, 188.0], [263.0, 202.0], [128.0, 200.0]], ('TAX INVOICE', 0.9475776553153992)], [[[47.0, 211.0], [132.0, 213.0], [131.0, 228.0], [47.0, 226.0]], ('TABLE24', 0.9858750700950623)], [[[42.0, 243.0], [210.0, 243.0], [210.0, 257.0], [42.0, 257.0]], ('ORDER00042002', 0.9391944408416748)], [[[41.0, 259.0], [173.0, 259.0], [173.0, 272.0], [41.0, 272.0]], ('CASHIER:PART TIMER', 0.9465767741203308)], [[[38.0, 274.0], [254.0, 274.0], [254.0, 288.0], [38.0, 288.0]], ('BILL DT17/01/201603:4105.PM', 0.924663245677948)], [[[53.0, 307.0], [231.0, 307.0], [231.0, 321.0], [53.0, 321.0]], ('HOMEMADE SEAFOOD TOM YAM', 0.9321934580802917)], [[[52.0, 326.0], [253.0, 326.0], [253.0, 341.0], [52.0, 341.0]], ('BABY KAILAN WITH GARLIC S', 0.9362108111381531)], [[[49.0, 345.0], [211.0, 345.0], [211.0, 359.0], [49.0, 359.0]], ('PAD THAI WITH SEAFOOD', 0.93163001537323)], [[[47.0, 365.0], [280.0, 365.0], [280.0, 379.0], [47.0, 379.0]], ('DEEO FRIED FISH IN CHILI PASTE', 0.9324740767478943)], [[[42.0, 384.0], [215.0, 384.0], [215.0, 401.0], [42.0, 401.0]], ('STEAMED FRAGRANT RICE', 0.9622243046760559)], [[[38.0, 406.0], [150.0, 406.0], [150.0, 423.0], [38.0, 423.0]], ('MINERAL WATER', 0.9753128290176392)]]
{"store_name": "GINGER", "store_addr": "JALANNHANGKASTURI50050K.L LOTM-12CENTREMARKET", "telephone": "603-22737371", "date": "17/01/2016", "time": "03:41:05PM", "subtotal": "", "tax": "", "total": "", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "MINERALWATER", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "STEAMEDFRAGRANTRICE", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "DEEOFRIEDFISHINCHILIPASTE", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "PADTHAIWITHSEAFOOD", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "BABYKAILANWITHGARLIC(S)", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "HOMEMADESEAFDODTOMYAM", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[71.0, 78.0], [238.0, 86.0], [237.0, 104.0], [70.0, 96.0]], ('CHECK#123236-1', 0.9553284049034119)], [[[107.0, 69.0], [197.0, 72.0], [196.0, 87.0], [107.0, 83.0]], ('EDMAYB.2013', 0.8694606423377991)], [[[129.0, 94.0], [189.0, 98.0], [188.0, 112.0], [128.0, 108.0]], ('TABLE s443', 0.8552803993225098)], [[[66.0, 117.0], [165.0, 123.0], [164.0, 137.0], [65.0, 131.0]], ('1Margarita Pizza', 0.9058268666267395)], [[[66.0, 130.0], [165.0, 136.0], [164.0, 151.0], [65.0, 145.0]], ('1 Margarita Pizza', 0.9125432372093201)], [[[210.0, 127.0], [246.0, 127.0], [246.0, 141.0], [210.0, 141.0]], ('$12.00', 0.9723918437957764)], [[[65.0, 144.0], [145.0, 149.0], [144.0, 163.0], [64.0, 158.0]], ('1 Bacon Pizza', 0.9384027719497681)], [[[210.0, 137.0], [246.0, 140.0], [245.0, 155.0], [209.0, 152.0]], ('$12.00', 0.9908121228218079)], [[[65.0, 158.0], [154.0, 163.0], [153.0, 177.0], [64.0, 173.0]], ('1SPECIAL DRINK', 0.9506001472473145)], [[[210.0, 153.0], [246.0, 153.0], [246.0, 167.0], [210.0, 167.0]], ('$13.00', 0.9652836322784424)], [[[63.0, 174.0], [153.0, 177.0], [153.0, 191.0], [63.0, 188.0]], ('1 SPECIAL DRINK', 0.9181069135665894)], [[[210.0, 166.0], [246.0, 166.0], [246.0, 181.0], [210.0, 181.0]], ('$25.00', 0.9442000985145569)], [[[64.0, 186.0], [117.0, 191.0], [116.0, 205.0], [63.0, 200.0]], ('1 Corona', 0.9309194087982178)], [[[210.0, 180.0], [246.0, 180.0], [246.0, 194.0], [210.0, 194.0]], ('$25.00', 0.9757103323936462)], [[[64.0, 200.0], [116.0, 205.0], [115.0, 219.0], [63.0, 215.0]], ('1 Corona', 0.9228010773658752)], [[[210.0, 192.0], [246.0, 192.0], [246.0, 206.0], [210.0, 206.0]], ('$16.00', 0.8717572093009949)], [[[209.0, 205.0], [247.0, 203.0], [248.0, 218.0], [210.0, 220.0]], ('$10.00', 0.9912505745887756)], [[[64.0, 217.0], [100.0, 217.0], [100.0, 232.0], [64.0, 232.0]], ('1Bud', 0.959097146987915)], [[[210.0, 218.0], [250.0, 218.0], [250.0, 232.0], [210.0, 232.0]], ('$10.00', 0.9831957817077637)], [[[209.0, 243.0], [252.0, 243.0], [252.0, 257.0], [209.0, 257.0]], ('$117.00', 0.9871430993080139)], [[[76.0, 258.0], [101.0, 258.0], [101.0, 273.0], [76.0, 273.0]], ('TAX', 0.9936912655830383)], [[[211.0, 256.0], [253.0, 256.0], [253.0, 270.0], [211.0, 270.0]], ('$10.53', 0.9763302803039551)], [[[76.0, 273.0], [132.0, 273.0], [132.0, 287.0], [76.0, 287.0]], ('SUB-TOTAL', 0.9889887571334839)], [[[209.0, 271.0], [255.0, 269.0], [255.0, 283.0], [210.0, 286.0]], ('$127.53', 0.9139089584350586)], [[[75.0, 287.0], [151.0, 285.0], [151.0, 300.0], [76.0, 302.0]], ('178GRATUITY', 0.9230861067771912)], [[[216.0, 285.0], [255.0, 282.0], [257.0, 297.0], [217.0, 300.0]], ('$19.89', 0.991274356842041)], [[[60.0, 303.0], [122.0, 303.0], [122.0, 317.0], [60.0, 317.0]], ('TOTAL', 0.9981179237365723)], [[[165.0, 300.0], [252.0, 296.0], [252.0, 313.0], [165.0, 317.0]], ('$147.42', 0.9960393309593201)], [[[75.0, 350.0], [151.0, 345.0], [153.0, 362.0], [76.0, 367.0]], ('Time:01:32', 0.8948146104812622)], [[[153.0, 346.0], [244.0, 341.0], [245.0, 358.0], [154.0, 363.0]], ('3CUSTOMERS', 0.9671393632888794)], [[[87.0, 381.0], [236.0, 372.0], [237.0, 389.0], [88.0, 398.0]], ('GRATUITY HAS BEEN ADDED', 0.958164632320404)], [[[82.0, 399.0], [245.0, 389.0], [246.0, 405.0], [83.0, 415.0]], ('FEEL FREE TO ADJUST IT', 0.9135368466377258)], [[[102.0, 430.0], [233.0, 422.0], [235.0, 439.0], [104.0, 447.0]], ('YOU HAVE BEEN SERVED', 0.9514421224594116)]]
{"store_name": "", "store_addr": "", "telephone": "", "date": "", "time": "01:32", "subtotal": "$117.00", "tax": "$10.53", "total": "$147.42", "ignore": " ", "tips": "$19.89", "line_items": [{"item_key": "", "item_name": "MargaritaPizza", "item_value": "$12.00", "item_quantity": "1"}, {"item_key": "", "item_name": "MargaritaPizza", "item_value": "$12.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BaconPizza", "item_value": "$13.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SPECIALDRINK", "item_value": "$25.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SPECIALDRINK", "item_value": "$25.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Corona", "item_value": "$10.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Corona", "item_value": "$10.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Bud", "item_value": "$10.00", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[102.0, 8.0], [227.0, 16.0], [226.0, 34.0], [100.0, 26.0]], ('III GUYS RESTAURANT', 0.9569621086120605)], [[[127.0, 26.0], [209.0, 33.0], [207.0, 51.0], [125.0, 44.0]], ('&SPORTS BAR', 0.9526947140693665)], [[[101.0, 40.0], [233.0, 50.0], [232.0, 68.0], [99.0, 58.0]], ('9500 NORTH MNT. BLVO', 0.8528497815132141)], [[[128.0, 59.0], [201.0, 66.0], [200.0, 83.0], [126.0, 76.0]], ('MNT TOP.PA', 0.9026236534118652)], [[[128.0, 75.0], [207.0, 84.0], [205.0, 101.0], [126.0, 92.0]], ('570-474-2100', 0.9925431609153748)], [[[24.0, 105.0], [117.0, 109.0], [117.0, 127.0], [24.0, 123.0]], ('Server:Frank', 0.9425318837165833)], [[[23.0, 123.0], [96.0, 126.0], [96.0, 144.0], [23.0, 141.0]], ('Table 29/1', 0.9108492136001587)], [[[234.0, 116.0], [303.0, 116.0], [303.0, 133.0], [234.0, 133.0]], ('08/12/2017', 0.9971186518669128)], [[[23.0, 139.0], [91.0, 144.0], [89.0, 162.0], [22.0, 157.0]], ('Guests:2', 0.9563959240913391)], [[[254.0, 134.0], [302.0, 134.0], [302.0, 150.0], [254.0, 150.0]], ('831PM', 0.9909628629684448)], [[[22.0, 157.0], [143.0, 161.0], [143.0, 178.0], [22.0, 174.0]], ('Area:DINING ROOM', 0.930941641330719)], [[[265.0, 151.0], [301.0, 151.0], [301.0, 166.0], [265.0, 166.0]], ('20009', 0.998999297618866)], [[[20.0, 189.0], [185.0, 193.0], [184.0, 210.0], [20.0, 206.0]], ('Blue Moon 16oz 2 e3.75', 0.8904518485069275)], [[[270.0, 197.0], [300.0, 197.0], [300.0, 212.0], [270.0, 212.0]], ('7.50', 0.9755681753158569)], [[[20.0, 208.0], [124.0, 211.0], [124.0, 225.0], [20.0, 222.0]], ('Stfd Mushrooms', 0.943500816822052)], [[[264.0, 213.0], [300.0, 213.0], [300.0, 228.0], [264.0, 228.0]], ('10.99', 0.9966128468513489)], [[[21.0, 227.0], [187.0, 227.0], [187.0, 241.0], [21.0, 241.0]], ('CRAB CAKE PLAT 2 023.99', 0.9103323221206665)], [[[266.0, 227.0], [300.0, 229.0], [299.0, 245.0], [265.0, 243.0]], ('47.98', 0.9942227602005005)], [[[21.0, 244.0], [151.0, 244.0], [151.0, 258.0], [21.0, 258.0]], ('20Z SAUCE2@0.35', 0.9193558096885681)], [[[271.0, 244.0], [301.0, 246.0], [300.0, 263.0], [269.0, 260.0]], ('0.70', 0.9944995045661926)], [[[19.0, 277.0], [80.0, 277.0], [80.0, 294.0], [19.0, 294.0]], ('Subtotal', 0.9922294616699219)], [[[265.0, 278.0], [302.0, 278.0], [302.0, 293.0], [265.0, 293.0]], ('67.17', 0.991491436958313)], [[[19.0, 294.0], [47.0, 297.0], [45.0, 313.0], [18.0, 310.0]], ('Tax', 0.9945630431175232)], [[[272.0, 295.0], [302.0, 295.0], [302.0, 311.0], [272.0, 311.0]], ('3.59', 0.996461033821106)], [[[19.0, 330.0], [57.0, 330.0], [57.0, 346.0], [19.0, 346.0]], ('Total', 0.997175395488739)], [[[267.0, 328.0], [304.0, 328.0], [304.0, 347.0], [267.0, 347.0]], ('70.76', 0.9960265159606934)], [[[236.0, 362.0], [306.0, 365.0], [305.0, 383.0], [235.0, 381.0]], ('70.76', 0.9964345693588257)], [[[62.0, 391.0], [258.0, 398.0], [257.0, 415.0], [61.0, 408.0]], ('Thank you for diring with us!', 0.9313620924949646)], [[[54.0, 406.0], [271.0, 414.0], [270.0, 431.0], [54.0, 423.0]], ('Eat WellLaugh Otten. Live Long', 0.8564040064811707)]]
{"store_name": "IIIGUYSRESTAURANT &SPORTSNAR", "store_addr": "9500NORTHMNT.BLVD MNTTOP,PA", "telephone": "570-474-2100", "date": "08/12/2017", "time": "8:31PM", "subtotal": "67.17", "tax": "3.59", "total": "70.76 70.76", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "BlueMoon16oz", "item_value": "7.50", "item_quantity": "1"}, {"item_key": "", "item_name": "StfdMushrooms", "item_value": "10.99", "item_quantity": "1"}, {"item_key": "", "item_name": "CRABCAKEPLAT", "item_value": "47.98", "item_quantity": "1"}, {"item_key": "", "item_name": "2OZSAUCE", "item_value": "0.70", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[271.0, 75.0], [1021.0, 75.0], [1021.0, 98.0], [271.0, 98.0]], ('Cution This product is for personal and household hygene. To prevent blockge do not throw issue', 0.8615120053291321)], [[[273.0, 95.0], [857.0, 98.0], [857.0, 122.0], [273.0, 118.0]], ('nto toet To avod dangerof suffocation.keep plastic packging away from chdre', 0.7422655820846558)], [[[276.0, 115.0], [757.0, 118.0], [757.0, 147.0], [276.0, 143.0]], ('SorgStn a cooy pe wy mdt s a ', 0.6725749373435974)], [[[299.0, 133.0], [478.0, 144.0], [476.0, 165.0], [298.0, 155.0]], ('terials100%wood pu', 0.7391301989555359)], [[[765.0, 167.0], [830.0, 167.0], [830.0, 183.0], [765.0, 183.0]], ('X3', 0.8777511119842529)], [[[429.0, 277.0], [751.0, 270.0], [752.0, 315.0], [430.0, 322.0]], ('Saizeriya', 0.9958756566047668)], [[[406.0, 320.0], [753.0, 315.0], [754.0, 343.0], [406.0, 348.0]], ('B1ock 190,Lorong 6', 0.8877125978469849)], [[[346.0, 349.0], [833.0, 340.0], [834.0, 373.0], [346.0, 382.0]], ('#02-514Toa Payoh Centra1', 0.9276018142700195)], [[[433.0, 382.0], [743.0, 378.0], [743.0, 407.0], [433.0, 410.0]], ('Singapore 310190', 0.976645827293396)], [[[296.0, 407.0], [883.0, 403.0], [883.0, 443.0], [297.0, 447.0]], ('Te1:6253 8001Fax:6338 6220', 0.9040640592575073)], [[[309.0, 443.0], [845.0, 443.0], [845.0, 477.0], [309.0, 477.0]], ('Company Reg.No.200818603R', 0.958884596824646)], [[[321.0, 473.0], [829.0, 478.0], [828.0, 513.0], [320.0, 508.0]], ('GST Reg.No20-0818603-R', 0.9412464499473572)], [[[124.0, 615.0], [385.0, 615.0], [385.0, 687.0], [124.0, 687.0]], ('Table:23', 0.9459320902824402)], [[[889.0, 649.0], [1039.0, 643.0], [1040.0, 684.0], [891.0, 690.0]], ('PAX2', 0.9902722239494324)], [[[121.0, 678.0], [573.0, 697.0], [572.0, 737.0], [119.0, 718.0]], ('Bill No. New Bi11)', 0.810591995716095)], [[[105.0, 725.0], [694.0, 740.0], [693.0, 792.0], [104.0, 776.0]], ('Date:2014/03/14 17:56:50', 0.953009307384491)], [[[95.0, 767.0], [437.0, 791.0], [434.0, 841.0], [91.0, 817.0]], ('Server: Sin Yu', 0.9152287244796753)], [[[66.0, 861.0], [93.0, 858.0], [98.0, 898.0], [71.0, 901.0]], ('7', 0.5249419212341309)], [[[107.0, 873.0], [148.0, 873.0], [148.0, 913.0], [107.0, 913.0]], ('X', 0.6094006896018982)], [[[222.0, 886.0], [592.0, 892.0], [591.0, 939.0], [221.0, 933.0]], ('Garlic Focaccia', 0.9740673303604126)], [[[949.0, 882.0], [1088.0, 882.0], [1088.0, 930.0], [949.0, 930.0]], ('$2.20', 0.9949641227722168)], [[[92.0, 927.0], [135.0, 927.0], [135.0, 965.0], [92.0, 965.0]], ('X', 0.6701852083206177)], [[[210.0, 940.0], [592.0, 949.0], [591.0, 999.0], [209.0, 990.0]], ('Chicken Sausage', 0.9671934247016907)], [[[960.0, 938.0], [1099.0, 938.0], [1099.0, 987.0], [960.0, 987.0]], ('$2.90', 0.9167158007621765)], [[[40.0, 958.0], [128.0, 984.0], [114.0, 1031.0], [25.0, 1004.0]], ('1x', 0.7511686086654663)], [[[194.0, 989.0], [358.0, 1003.0], [353.0, 1056.0], [189.0, 1042.0]], ('Paella', 0.9712328910827637)], [[[966.0, 995.0], [1114.0, 991.0], [1115.0, 1046.0], [968.0, 1050.0]], ('$7.90', 0.9182770848274231)], [[[181.0, 1047.0], [562.0, 1066.0], [559.0, 1124.0], [178.0, 1106.0]], ('Chocolate Lava', 0.9785143136978149)], [[[976.0, 1059.0], [1126.0, 1055.0], [1127.0, 1110.0], [978.0, 1114.0]], ('$5.90', 0.9554201364517212)], [[[52.0, 1093.0], [92.0, 1105.0], [77.0, 1150.0], [38.0, 1139.0]], ('X', 0.6900745034217834)], [[[169.0, 1109.0], [425.0, 1133.0], [420.0, 1186.0], [163.0, 1162.0]], ('Drink Bar', 0.9547469019889832)], [[[987.0, 1123.0], [1142.0, 1123.0], [1142.0, 1183.0], [987.0, 1183.0]], ('$2.80', 0.971969485282898)], [[[26.0, 1163.0], [70.0, 1163.0], [70.0, 1213.0], [26.0, 1213.0]], ('X', 0.7487329840660095)], [[[151.0, 1172.0], [561.0, 1203.0], [556.0, 1265.0], [147.0, 1234.0]], ('Cheese Chicken', 0.9739726185798645)], [[[995.0, 1194.0], [1154.0, 1190.0], [1156.0, 1253.0], [997.0, 1257.0]], ('$6.90', 0.9527336955070496)], [[[838.0, 1351.0], [1179.0, 1344.0], [1182.0, 1471.0], [840.0, 1477.0]], ('$28.60', 0.9358893036842346)], [[[429.0, 1396.0], [764.0, 1402.0], [763.0, 1470.0], [427.0, 1465.0]], ('Grand Total', 0.9572218060493469)]]
{"store_name": "Saizeriya", "store_addr": "Block190,Lorong6 #02-514,ToapayohCentral Singapore310190", "telephone": "62538001", "date": "2014/03/14", "time": "17:56:50", "subtotal": "$28.60", "tax": "", "total": "", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "GarlicFocaccia", "item_value": "$2.20", "item_quantity": "1"}, {"item_key": "", "item_name": "ChickenSausage", "item_value": "$2.90", "item_quantity": "1"}, {"item_key": "", "item_name": "Paella", "item_value": "$7.90", "item_quantity": "1"}, {"item_key": "", "item_name": "ChocolateLava", "item_value": "$5.90", "item_quantity": "1"}, {"item_key": "", "item_name": "DrinkBar", "item_value": "$2.80", "item_quantity": "1"}, {"item_key": "", "item_name": "CheeseChicken", "item_value": "$6.90", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[203.0, 151.0], [580.0, 139.0], [581.0, 166.0], [203.0, 177.0]], ('JENERIS by/Abren', 0.8579097986221313)], [[[246.0, 179.0], [530.0, 170.0], [530.0, 196.0], [247.0, 205.0]], ('AHREN SDN BHD 10Z7451P', 0.889643132686615)], [[[326.0, 206.0], [457.0, 204.0], [457.0, 229.0], [327.0, 232.0]], ('NU SENTRAL,', 0.9431682825088501)], [[[244.0, 238.0], [566.0, 231.0], [566.0, 256.0], [245.0, 263.0]], ('Lot CC-14,Concourse Leve1', 0.9407947063446045)], [[[245.0, 267.0], [555.0, 263.0], [555.0, 288.0], [246.0, 291.0]], ('Jalan Travers,KL Sentra1,', 0.9153752326965332)], [[[291.0, 298.0], [517.0, 298.0], [517.0, 320.0], [291.0, 320.0]], ('50470 Kua1a Lumpur.', 0.9053702354431152)], [[[278.0, 328.0], [533.0, 325.0], [534.0, 350.0], [278.0, 352.0]], ('Te1 No.:012-639 6632', 0.9241148829460144)], [[[124.0, 358.0], [315.0, 356.0], [315.0, 382.0], [125.0, 384.0]], ('21/07/2014 13:50', 0.9536926746368408)], [[[532.0, 356.0], [703.0, 354.0], [704.0, 381.0], [533.0, 383.0]], ('A010555', 0.9432148337364197)], [[[122.0, 383.0], [164.0, 390.0], [159.0, 419.0], [117.0, 413.0]], ('Qty', 0.9944170117378235)], [[[206.0, 389.0], [351.0, 389.0], [351.0, 415.0], [206.0, 415.0]], ('Descriptions', 0.9942660927772522)], [[[629.0, 388.0], [707.0, 388.0], [707.0, 415.0], [629.0, 415.0]], ('Amount', 0.9977831840515137)], [[[124.0, 449.0], [143.0, 449.0], [143.0, 474.0], [124.0, 474.0]], ('1', 0.982610285282135)], [[[209.0, 449.0], [567.0, 449.0], [567.0, 475.0], [209.0, 475.0]], ('Combo Set Lunch Home Cook Cufr', 0.9117645025253296)], [[[639.0, 449.0], [705.0, 449.0], [705.0, 477.0], [639.0, 477.0]], ('14.90', 0.9956973791122437)], [[[207.0, 508.0], [300.0, 508.0], [300.0, 534.0], [207.0, 534.0]], ('STTL', 0.9944025278091431)], [[[584.0, 509.0], [705.0, 509.0], [705.0, 534.0], [584.0, 534.0]], ('14.90', 0.9796331524848938)], [[[208.0, 539.0], [329.0, 539.0], [329.0, 564.0], [208.0, 564.0]], ('5%SVC CHG', 0.9475875496864319)], [[[652.0, 539.0], [710.0, 539.0], [710.0, 566.0], [652.0, 566.0]], ('0.75', 0.9968576431274414)], [[[206.0, 570.0], [340.0, 570.0], [340.0, 595.0], [206.0, 595.0]], ('6%GOVT TAX', 0.9631209373474121)], [[[653.0, 570.0], [711.0, 570.0], [711.0, 598.0], [653.0, 598.0]], ('0.89', 0.9976363778114319)], [[[200.0, 627.0], [241.0, 627.0], [241.0, 657.0], [200.0, 657.0]], ('TTL', 0.9853053689002991)], [[[646.0, 631.0], [716.0, 631.0], [716.0, 662.0], [646.0, 662.0]], ('16.54', 0.9944251775741577)], [[[197.0, 658.0], [361.0, 662.0], [361.0, 690.0], [196.0, 687.0]], ('SYS.ROUNDING', 0.9813424944877625)], [[[658.0, 666.0], [715.0, 666.0], [715.0, 694.0], [658.0, 694.0]], ('0.01', 0.9977709650993347)], [[[198.0, 690.0], [321.0, 695.0], [320.0, 725.0], [197.0, 720.0]], ('TOTAL', 0.9983951449394226)], [[[589.0, 700.0], [716.0, 700.0], [716.0, 726.0], [589.0, 726.0]], ('16.55', 0.994012713432312)], [[[192.0, 723.0], [252.0, 723.0], [252.0, 755.0], [192.0, 755.0]], ('CASH', 0.9979912042617798)], [[[648.0, 731.0], [720.0, 731.0], [720.0, 762.0], [648.0, 762.0]], ('50.00', 0.9966410398483276)], [[[192.0, 758.0], [344.0, 761.0], [343.0, 789.0], [192.0, 787.0]], ('CHANGE', 0.9983367919921875)], [[[586.0, 765.0], [720.0, 767.0], [720.0, 797.0], [586.0, 795.0]], ('33.45', 0.9986712336540222)], [[[343.0, 828.0], [461.0, 830.0], [460.0, 860.0], [342.0, 857.0]], ('THANK YOU', 0.9601348042488098)], [[[289.0, 862.0], [512.0, 867.0], [511.0, 896.0], [288.0, 890.0]], ('PLEASE COME AGAIN', 0.955136775970459)], [[[94.0, 894.0], [392.0, 902.0], [391.0, 927.0], [94.0, 919.0]], ('Csh:NU002 F0O YING LING', 0.8945658206939697)], [[[90.0, 929.0], [379.0, 936.0], [378.0, 964.0], [89.0, 958.0]], ('POS:T001 Shf:201407211', 0.9310924410820007)]]
{"store_name": "JENERISbyAhren", "store_addr": "NUSENTRAL, LotCC-14,ConcourseLevel, JalanTravers,KLSentral, 50470KualaLumpur.", "telephone": "012-6396632", "date": "21/07/2014", "time": "13:50", "subtotal": "14.90", "tax": "0.89", "total": "16.55", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "ComboSetLunchHomeCookCurr", "item_value": "14.90", "item_quantity": "1"}, {"item_key": "", "item_name": "SYS.ROUNDING", "item_value": "0.01", "item_quantity": "1"}, {"item_key": "Descriptions", "item_name": "", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[43.0, 23.0], [144.0, 12.0], [145.0, 26.0], [45.0, 37.0]], ('WELCOME TO', 0.9439786672592163)], [[[44.0, 36.0], [145.0, 26.0], [146.0, 39.0], [46.0, 48.0]], ('DOWNSTAIRS', 0.9970545768737793)], [[[38.0, 48.0], [155.0, 37.0], [157.0, 50.0], [39.0, 62.0]], ('305-705-4453', 0.9892752766609192)], [[[64.0, 58.0], [128.0, 51.0], [129.0, 62.0], [65.0, 69.0]], ('VP12277317001', 0.9898280501365662)], [[[52.0, 76.0], [139.0, 69.0], [140.0, 83.0], [53.0, 89.0]], ('19501 NW57th AVE', 0.9072588086128235)], [[[68.0, 67.0], [121.0, 62.0], [121.0, 72.0], [69.0, 76.0]], ('DONNSTAIRS', 0.9526036977767944)], [[[24.0, 109.0], [169.0, 99.0], [170.0, 112.0], [25.0, 121.0]], ('**PRE-AUTHORIZED RECEIPT***', 0.9046775102615356)], [[[0.0, 132.0], [61.0, 129.0], [62.0, 141.0], [0.0, 145.0]], ('Description', 0.9914127588272095)], [[[162.0, 126.0], [196.0, 126.0], [196.0, 137.0], [162.0, 137.0]], ('Amount', 0.9816219210624695)], [[[0.0, 154.0], [70.0, 150.0], [71.0, 163.0], [0.0, 166.0]], ('PREPAY CA#14', 0.9118629097938538)], [[[167.0, 148.0], [198.0, 148.0], [198.0, 162.0], [167.0, 162.0]], ('25.00', 0.9943040013313293)], [[[0.0, 165.0], [86.0, 162.0], [86.0, 176.0], [0.0, 179.0]], ('Premium Car Wash', 0.9174432754516602)], [[[128.0, 165.0], [133.0, 165.0], [133.0, 172.0], [128.0, 172.0]], ('1', 0.6575360298156738)], [[[170.0, 163.0], [198.0, 160.0], [200.0, 174.0], [172.0, 177.0]], ('5.99', 0.9932677149772644)], [[[83.0, 189.0], [128.0, 189.0], [128.0, 203.0], [83.0, 203.0]], ('Subtotal', 0.9950855374336243)], [[[168.0, 188.0], [199.0, 188.0], [199.0, 202.0], [168.0, 202.0]], ('30.99', 0.9934382438659668)], [[[110.0, 204.0], [130.0, 204.0], [130.0, 216.0], [110.0, 216.0]], ('Tax', 0.9954873919487)], [[[173.0, 203.0], [200.0, 203.0], [200.0, 216.0], [173.0, 216.0]], ('0.00', 0.9964252710342407)], [[[98.0, 217.0], [128.0, 214.0], [129.0, 228.0], [99.0, 231.0]], ('TOTAL', 0.9981840252876282)], [[[168.0, 215.0], [200.0, 215.0], [200.0, 229.0], [168.0, 229.0]], ('30.99', 0.9966508150100708)], [[[88.0, 231.0], [147.0, 228.0], [148.0, 242.0], [88.0, 244.0]], ('PREAUTH $', 0.9353666305541992)], [[[169.0, 229.0], [200.0, 229.0], [200.0, 242.0], [169.0, 242.0]], ('30.99', 0.9941326379776001)]]
{"store_name": "DOWNSTAIRS DOWNSTARIRS", "store_addr": "MIAMIGARDENSFL33055 19501NW57thAVE", "telephone": "305-705-4453", "date": "", "time": "", "subtotal": "30.99", "tax": "0.00", "total": "30.99 30.99", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "PREPAYCA#14", "item_value": "25.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "5.99", "item_quantity": "1"}, {"item_key": "Oescription", "item_name": "", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[526.0, 692.0], [1213.0, 710.0], [1211.0, 770.0], [524.0, 752.0]], ('STORE REG TRAN EMPL.#', 0.9238147735595703)], [[[1335.0, 712.0], [1474.0, 724.0], [1469.0, 788.0], [1330.0, 777.0]], ('DATE', 0.8859110474586487)], [[[1605.0, 731.0], [1733.0, 731.0], [1733.0, 800.0], [1605.0, 800.0]], ('TIME', 0.9360586404800415)], [[[522.0, 765.0], [1559.0, 792.0], [1557.0, 869.0], [520.0, 842.0]], ('01828032 4886461532912/1/14', 0.9777168035507202)], [[[1586.0, 814.0], [1759.0, 798.0], [1765.0, 863.0], [1592.0, 879.0]], ('6:54', 0.8683013319969177)], [[[1003.0, 1092.0], [1276.0, 1092.0], [1276.0, 1165.0], [1003.0, 1165.0]], ('SALE', 0.9978005886077881)], [[[580.0, 1264.0], [760.0, 1264.0], [760.0, 1329.0], [580.0, 1329.0]], ('1:40', 0.9399299621582031)], [[[923.0, 1255.0], [1204.0, 1265.0], [1202.0, 1329.0], [921.0, 1319.0]], ('77434008', 0.9981368184089661)], [[[645.0, 1350.0], [1524.0, 1350.0], [1524.0, 1410.0], [645.0, 1410.0]], ('EB,D NVY,PQ TRICOTSCREEN', 0.9206754565238953)], [[[1601.0, 1350.0], [1840.0, 1350.0], [1840.0, 1410.0], [1601.0, 1410.0]], ('5.99G', 0.9663680791854858)], [[[849.0, 1436.0], [1161.0, 1436.0], [1161.0, 1496.0], [849.0, 1496.0]], ('CLEARANCE', 0.9983667731285095)], [[[671.0, 1509.0], [1148.0, 1514.0], [1148.0, 1587.0], [670.0, 1582.0]], ('TAX EXEMPTION', 0.9741920828819275)], [[[658.0, 1595.0], [1093.0, 1604.0], [1092.0, 1665.0], [657.0, 1655.0]], ('Kids Clothes', 0.9797766804695129)], [[[544.0, 1667.0], [740.0, 1678.0], [736.0, 1738.0], [541.0, 1728.0]], ('2:40', 0.9379825592041016)], [[[902.0, 1672.0], [1196.0, 1682.0], [1194.0, 1742.0], [900.0, 1732.0]], ('77432008', 0.9978594779968262)], [[[611.0, 1750.0], [1452.0, 1763.0], [1451.0, 1824.0], [610.0, 1810.0]], ('EBBLK,PQ TRICOTSCREEN', 0.9516497254371643)], [[[1590.0, 1745.0], [1866.0, 1755.0], [1863.0, 1833.0], [1587.0, 1822.0]], ('*5.99G', 0.8923370838165283)], [[[642.0, 1823.0], [1145.0, 1837.0], [1143.0, 1910.0], [640.0, 1896.0]], ('TAX EXEMPTION:', 0.9418373703956604)], [[[629.0, 1913.0], [1089.0, 1927.0], [1087.0, 2000.0], [627.0, 1986.0]], ('Kids Clothes', 0.9838290214538574)], [[[521.0, 2012.0], [717.0, 2012.0], [717.0, 2077.0], [521.0, 2077.0]], ('3:40', 0.9280957579612732)], [[[889.0, 2016.0], [1187.0, 2026.0], [1185.0, 2086.0], [887.0, 2076.0]], ('77484012', 0.997564435005188)], [[[590.0, 2098.0], [1511.0, 2116.0], [1510.0, 2185.0], [589.0, 2167.0]], ('SCRN,NVY/GRY BBALTEE FLR', 0.928575336933136)], [[[1595.0, 2106.0], [1828.0, 2121.0], [1824.0, 2194.0], [1591.0, 2179.0]], ('9.97G', 0.9453225135803223)], [[[629.0, 2184.0], [1123.0, 2198.0], [1121.0, 2271.0], [627.0, 2257.0]], ('TAX EXEMPTION', 0.9646180272102356)], [[[620.0, 2278.0], [1063.0, 2288.0], [1062.0, 2361.0], [618.0, 2352.0]], ('Kids Clothes', 0.9772862792015076)], [[[513.0, 2369.0], [923.0, 2378.0], [921.0, 2447.0], [512.0, 2438.0]], ('4:REDUCTION', 0.964616596698761)], [[[1582.0, 2385.0], [1815.0, 2396.0], [1812.0, 2474.0], [1578.0, 2463.0]], ('2.48-G', 0.9308478236198425)], [[[582.0, 2459.0], [1200.0, 2473.0], [1198.0, 2546.0], [580.0, 2532.0]], ('OFFERC0DE01274', 0.9352384209632874)], [[[508.0, 2558.0], [704.0, 2558.0], [704.0, 2623.0], [508.0, 2623.0]], ('5:40', 0.9385589957237244)], [[[860.0, 2553.0], [1162.0, 2568.0], [1159.0, 2641.0], [857.0, 2626.0]], ('77487012', 0.9981821775436401)], [[[577.0, 2648.0], [1302.0, 2667.0], [1301.0, 2740.0], [576.0, 2721.0]], ('SCRNRED DOGTEE FLR', 0.9553766250610352)], [[[1575.0, 2665.0], [1811.0, 2680.0], [1806.0, 2762.0], [1569.0, 2746.0]], ('9.97G', 0.9600793123245239)], [[[612.0, 2743.0], [1102.0, 2757.0], [1100.0, 2830.0], [610.0, 2816.0]], ('TAX EXEMPTION', 0.9707199335098267)], [[[603.0, 2837.0], [1042.0, 2852.0], [1040.0, 2925.0], [601.0, 2910.0]], ('Kids Clothes', 0.9753949046134949)], [[[488.0, 2932.0], [901.0, 2942.0], [900.0, 3015.0], [486.0, 3005.0]], ('6:REDUCTION', 0.9658611416816711)], [[[1573.0, 2953.0], [1815.0, 2964.0], [1812.0, 3045.0], [1570.0, 3035.0]], ('2.49-G', 0.9420135617256165)], [[[556.0, 3031.0], [1016.0, 3041.0], [1015.0, 3114.0], [554.0, 3104.0]], ('OFFER CODE', 0.955349326133728)], [[[995.0, 3049.0], [1178.0, 3049.0], [1178.0, 3113.0], [995.0, 3113.0]], ('01274', 0.998092532157898)], [[[1103.0, 3142.0], [1397.0, 3153.0], [1394.0, 3230.0], [1100.0, 3220.0]], ('SUBTOTAL', 0.994238018989563)], [[[1544.0, 3151.0], [1743.0, 3162.0], [1738.0, 3243.0], [1540.0, 3232.0]], ('26.95', 0.9911959767341614)], [[[1276.0, 3251.0], [1404.0, 3251.0], [1404.0, 3337.0], [1276.0, 3337.0]], ('GST', 0.9887712001800537)], [[[1575.0, 3264.0], [1746.0, 3264.0], [1746.0, 3345.0], [1575.0, 3345.0]], ('1.35', 0.9933021068572998)], [[[1211.0, 3344.0], [1401.0, 3355.0], [1397.0, 3437.0], [1207.0, 3426.0]], ('TOTAL', 0.9969621896743774)], [[[1544.0, 3357.0], [1751.0, 3368.0], [1747.0, 3450.0], [1540.0, 3439.0]], ('28.30', 0.9093645215034485)], [[[350.0, 3539.0], [521.0, 3539.0], [521.0, 3621.0], [350.0, 3621.0]], ('VISA', 0.9985688328742981)], [[[1554.0, 3573.0], [1763.0, 3573.0], [1763.0, 3655.0], [1554.0, 3655.0]], ('28.30', 0.8739002346992493)], [[[582.0, 3650.0], [1396.0, 3673.0], [1394.0, 3746.0], [580.0, 3723.0]], ('C************4019R01', 0.8114551305770874)], [[[1155.0, 3757.0], [1410.0, 3768.0], [1406.0, 3845.0], [1151.0, 3835.0]], ('018988', 0.9974370002746582)], [[[595.0, 4020.0], [1042.0, 4034.0], [1040.0, 4107.0], [593.0, 4093.0]], ('TOTALE', 0.8671939969062805)], [[[1043.0, 4037.0], [1584.0, 4056.0], [1582.0, 4127.0], [1041.0, 4110.0]], ('SAVTNGS', 0.920168399810791)]]
{"store_name": "", "store_addr": "", "telephone": "", "date": "12/1/14", "time": "6:54P", "subtotal": "26.95", "tax": "1.35", "total": "28.30 28.30", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "EB,DNVY,PQTRICOT,SCREEN", "item_value": "5.99", "item_quantity": "1"}, {"item_key": "", "item_name": "EB,BLK,PQTRICOT,SCREEN", "item_value": "*5.99", "item_quantity": "1"}, {"item_key": "", "item_name": "SCRN,NVY/GRYBBAL,TEEFLR", "item_value": "9.97", "item_quantity": "1"}, {"item_key": "", "item_name": "SCRN,REDDOG,TEEFLR", "item_value": "9.97", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[792.0, 2.0], [832.0, 1.0], [842.0, 289.0], [802.0, 290.0]], ('PC GIVEAWAY ON BACK', 0.9498429298400879)], [[[50.0, 21.0], [203.0, 21.0], [203.0, 51.0], [50.0, 51.0]], ('7/30/2012', 0.9975095391273499)], [[[548.0, 20.0], [722.0, 20.0], [722.0, 46.0], [548.0, 46.0]], ('8:27:32PM', 0.9051964282989502)], [[[45.0, 61.0], [255.0, 64.0], [254.0, 94.0], [45.0, 91.0]], ('Order 113533', 0.9313955307006836)], [[[408.0, 63.0], [674.0, 60.0], [674.0, 89.0], [408.0, 91.0]], ('Cashier:Eric H', 0.9472759962081909)], [[[95.0, 143.0], [320.0, 150.0], [319.0, 180.0], [94.0, 173.0]], ('1 Grande Mea!', 0.8732750415802002)], [[[671.0, 141.0], [748.0, 141.0], [748.0, 174.0], [671.0, 174.0]], ('9.90', 0.9962238669395447)], [[[163.0, 190.0], [353.0, 197.0], [352.0, 228.0], [162.0, 221.0]], ('10 Bean Bur', 0.923378050327301)], [[[671.0, 186.0], [749.0, 186.0], [749.0, 219.0], [671.0, 219.0]], ('0.00', 0.9978442788124084)], [[[91.0, 233.0], [319.0, 240.0], [318.0, 270.0], [90.0, 263.0]], ('1 Grande Meal', 0.9333406090736389)], [[[670.0, 230.0], [749.0, 230.0], [749.0, 266.0], [670.0, 266.0]], ('9.90', 0.9966882467269897)], [[[162.0, 280.0], [353.0, 288.0], [352.0, 318.0], [161.0, 310.0]], ('10 Bean Bur', 0.9221370816230774)], [[[670.0, 278.0], [748.0, 278.0], [748.0, 314.0], [670.0, 314.0]], ('0.00', 0.9975858330726624)], [[[196.0, 326.0], [407.0, 334.0], [406.0, 364.0], [195.0, 356.0]], ('10 No Onions', 0.9320027828216553)], [[[667.0, 322.0], [745.0, 322.0], [745.0, 359.0], [667.0, 359.0]], ('0.00', 0.9968828558921814)], [[[90.0, 369.0], [406.0, 376.0], [405.0, 408.0], [89.0, 400.0]], ('1 Sft Tac Party Pk', 0.9022732973098755)], [[[655.0, 372.0], [745.0, 372.0], [745.0, 405.0], [655.0, 405.0]], ('10.00', 0.9983008503913879)], [[[160.0, 416.0], [404.0, 420.0], [404.0, 450.0], [160.0, 446.0]], ('12 Sft Taco Bf', 0.8624103665351868)], [[[669.0, 417.0], [747.0, 417.0], [747.0, 450.0], [669.0, 450.0]], ('0.00', 0.9976959824562073)], [[[90.0, 460.0], [388.0, 466.0], [387.0, 496.0], [89.0, 490.0]], ('1Taco Party Pack', 0.9479345083236694)], [[[653.0, 464.0], [744.0, 461.0], [746.0, 493.0], [654.0, 497.0]], ('10.00', 0.997909426689148)], [[[160.0, 506.0], [422.0, 511.0], [421.0, 543.0], [160.0, 537.0]], ('12 Crunchy Taco', 0.9347091317176819)], [[[670.0, 509.0], [747.0, 509.0], [747.0, 540.0], [670.0, 540.0]], ('0.00', 0.9970657825469971)], [[[72.0, 554.0], [279.0, 554.0], [279.0, 579.0], [72.0, 579.0]], ('26 Med Dr ink', 0.8994117975234985)], [[[657.0, 552.0], [749.0, 552.0], [749.0, 579.0], [657.0, 579.0]], ('43.94', 0.9917405247688293)], [[[81.0, 594.0], [346.0, 594.0], [346.0, 620.0], [81.0, 620.0]], ('3 Supreme Pizza', 0.9502424597740173)], [[[658.0, 590.0], [755.0, 587.0], [756.0, 618.0], [659.0, 622.0]], ('11.97', 0.9956815838813782)], [[[75.0, 636.0], [382.0, 632.0], [382.0, 666.0], [76.0, 670.0]], ('3 Pepperoni Pizza', 0.9426454901695251)], [[[665.0, 631.0], [761.0, 631.0], [761.0, 665.0], [665.0, 665.0]], ('11.07', 0.9963319897651672)], [[[73.0, 684.0], [326.0, 681.0], [326.0, 711.0], [73.0, 714.0]], ('3 Cheese Pizza', 0.9469207525253296)], [[[666.0, 677.0], [764.0, 677.0], [764.0, 712.0], [666.0, 712.0]], ('10.47', 0.993033766746521)], [[[827.0, 743.0], [875.0, 740.0], [899.0, 1198.0], [859.0, 1199.0]], ('TABLET PC GIVEAWAY ON BACK', 0.961492657661438)], [[[299.0, 776.0], [445.0, 776.0], [445.0, 808.0], [299.0, 808.0]], ('SubTotal', 0.9937475919723511)], [[[642.0, 775.0], [761.0, 775.0], [761.0, 810.0], [642.0, 810.0]], ('117.25', 0.9964320063591003)], [[[295.0, 822.0], [358.0, 822.0], [358.0, 861.0], [295.0, 861.0]], ('Tax', 0.9964833855628967)], [[[663.0, 826.0], [766.0, 826.0], [766.0, 862.0], [663.0, 862.0]], ('11.02', 0.9918590784072876)], [[[297.0, 874.0], [396.0, 874.0], [396.0, 940.0], [297.0, 940.0]], ('Total', 0.9970839619636536)], [[[645.0, 878.0], [775.0, 882.0], [773.0, 953.0], [642.0, 949.0]], ('128.27', 0.9335374236106873)], [[[311.0, 954.0], [523.0, 956.0], [523.0, 991.0], [311.0, 989.0]], ('Master Card', 0.9695022106170654)], [[[661.0, 962.0], [788.0, 968.0], [786.0, 1008.0], [659.0, 1002.0]], ('128.27', 0.9958644509315491)], [[[308.0, 1002.0], [633.0, 1014.0], [632.0, 1049.0], [306.0, 1037.0]], ('AcctXXXXXXXX8425', 0.8200713396072388)], [[[307.0, 1102.0], [592.0, 1116.0], [591.0, 1150.0], [305.0, 1137.0]], ('Approva1:052723', 0.9101607203483582)]]
{"store_name": "", "store_addr": "", "telephone": "", "date": "7/30/2012", "time": "8:27:32PM", "subtotal": "117.25", "tax": "11.02", "total": "128.27 128.27", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "GrandeMeal", "item_value": "9.90", "item_quantity": "1"}, {"item_key": "", "item_name": "BeanBur", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "GrandeMeal", "item_value": "9.90", "item_quantity": "1"}, {"item_key": "", "item_name": "BeanBur", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "NoOnions", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SftTacPartyPk", "item_value": "10.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SftTacoBf", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "TacoPartyPack", "item_value": "10.00", "item_quantity": "1"}, {"item_key": "", "item_name": "CrunchyTaco", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "MedDrink", "item_value": "43.94", "item_quantity": "1"}, {"item_key": "", "item_name": "SupremePizza", "item_value": "11.97", "item_quantity": "1"}, {"item_key": "", "item_name": "PepperoniPizza", "item_value": "11.07", "item_quantity": "1"}, {"item_key": "", "item_name": "CheesePizza", "item_value": "10.47", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[57.0, 26.0], [125.0, 26.0], [125.0, 43.0], [57.0, 43.0]], ('D002', 0.7754762172698975)], [[[140.0, 26.0], [219.0, 26.0], [219.0, 43.0], [140.0, 43.0]], ('Table 997', 0.9223558902740479)], [[[53.0, 42.0], [116.0, 42.0], [116.0, 59.0], [53.0, 59.0]], ('JULIA E', 0.9644538760185242)], [[[150.0, 41.0], [373.0, 40.0], [373.0, 60.0], [150.0, 61.0]], ('SvrCk21134a03/09/14', 0.9707801938056946)], [[[48.0, 74.0], [155.0, 71.0], [155.0, 91.0], [48.0, 93.0]], ('1NAME.15-14', 0.9304497241973877)], [[[364.0, 74.0], [405.0, 74.0], [405.0, 92.0], [364.0, 92.0]], ('0.00', 0.993518054485321)], [[[47.0, 93.0], [109.0, 93.0], [109.0, 111.0], [47.0, 111.0]], ('2OKES', 0.856661319732666)], [[[365.0, 92.0], [406.0, 92.0], [406.0, 111.0], [365.0, 111.0]], ('5.00', 0.9957550168037415)], [[[90.0, 111.0], [331.0, 110.0], [331.0, 130.0], [90.0, 131.0]], ('ON BuRGER BUR, burger mods', 0.8834168314933777)], [[[106.0, 133.0], [275.0, 131.0], [275.0, 151.0], [107.0, 153.0]], ('cheddar. add bacon,', 0.9240140318870544)], [[[361.0, 148.0], [410.0, 148.0], [410.0, 171.0], [361.0, 171.0]], ('13.75', 0.9934369921684265)], [[[105.0, 158.0], [197.0, 156.0], [197.0, 174.0], [106.0, 176.0]], ('sour cream', 0.9516660571098328)], [[[78.0, 176.0], [331.0, 174.0], [331.0, 194.0], [78.0, 197.0]], ('LL FIGHTER BUR,burger mods', 0.893001914024353)], [[[70.0, 199.0], [331.0, 199.0], [331.0, 218.0], [70.0, 218.0]], ('add mozzarella,add cheddar', 0.9289553165435791)], [[[68.0, 219.0], [298.0, 221.0], [298.0, 241.0], [68.0, 239.0]], ('add bacon, add sour cream', 0.9258384704589844)], [[[360.0, 216.0], [409.0, 216.0], [409.0, 238.0], [360.0, 238.0]], ('14.50', 0.9957482218742371)], [[[243.0, 261.0], [335.0, 261.0], [335.0, 279.0], [243.0, 279.0]], ('Sub Total:', 0.8996151685714722)], [[[359.0, 260.0], [411.0, 260.0], [411.0, 281.0], [359.0, 281.0]], ('33.25', 0.9024266004562378)], [[[215.0, 279.0], [248.0, 282.0], [246.0, 301.0], [213.0, 298.0]], ('Tax', 0.9959728717803955)], [[[328.0, 286.0], [336.0, 286.0], [336.0, 299.0], [328.0, 299.0]], ('..', 0.5015995502471924)], [[[369.0, 282.0], [412.0, 282.0], [412.0, 301.0], [369.0, 301.0]], ('3.24', 0.9963295459747314)], [[[243.0, 304.0], [339.0, 304.0], [339.0, 321.0], [243.0, 321.0]], ('Sub Total', 0.9557664394378662)], [[[363.0, 303.0], [414.0, 303.0], [414.0, 324.0], [363.0, 324.0]], ('36.49', 0.99443519115448)], [[[32.0, 325.0], [259.0, 325.0], [259.0, 344.0], [32.0, 344.0]], ('03/09 12:01pTOTAL', 0.9172206521034241)], [[[318.0, 325.0], [412.0, 325.0], [412.0, 342.0], [318.0, 342.0]], ('36.49', 0.9894207715988159)], [[[189.0, 368.0], [438.0, 368.0], [438.0, 391.0], [189.0, 391.0]], ('"YO MAMA JOKE', 0.9096766114234924)], [[[52.0, 445.0], [401.0, 445.0], [401.0, 465.0], [52.0, 465.0]], ('The only reason yo mama got pregnant', 0.9429953098297119)], [[[110.0, 467.0], [315.0, 467.0], [315.0, 487.0], [110.0, 487.0]], ("is she didn't want to", 0.9299182891845703)], [[[118.0, 490.0], [294.0, 489.0], [294.0, 510.0], [118.0, 511.0]], ('smear her lipstick', 0.9623421430587769)]]
{"store_name": "", "store_addr": "", "telephone": "", "date": "03/09/14 03/09", "time": "12:01p", "subtotal": "33.25", "tax": "3.24", "total": "36.49 36.49", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "1NAME,15-14", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "cheddar,addbacon,", "item_value": "5.00", "item_quantity": "1"}, {"item_key": "", "item_name": "sourcream", "item_value": "13.75", "item_quantity": "1"}, {"item_key": "", "item_name": "addmozzarella,addcheddar,", "item_value": "14.50", "item_quantity": "1"}, {"item_key": "", "item_name": "addbacon,addsourcream", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[123.0, 120.0], [184.0, 117.0], [185.0, 136.0], [123.0, 139.0]], ('PIER1', 0.9866988062858582)], [[[115.0, 135.0], [193.0, 130.0], [193.0, 144.0], [116.0, 149.0]], ('BAR&RESTALRANT', 0.9080011248588562)], [[[122.0, 145.0], [186.0, 143.0], [186.0, 154.0], [122.0, 156.0]], ('DONEGAL TOWN', 0.9379280209541321)], [[[80.0, 163.0], [191.0, 161.0], [191.0, 181.0], [80.0, 183.0]], ('TABLE 33LOOK OUT', 0.9186574220657349)], [[[94.0, 189.0], [214.0, 187.0], [214.0, 202.0], [94.0, 204.0]], ('SAT 16 SEP201719:44', 0.9331670999526978)], [[[77.0, 199.0], [143.0, 201.0], [143.0, 215.0], [77.0, 213.0]], ('2 PT CLONMEL', 0.8925359845161438)], [[[242.0, 196.0], [267.0, 196.0], [267.0, 208.0], [242.0, 208.0]], ('9.20', 0.9915140867233276)], [[[76.0, 213.0], [111.0, 213.0], [111.0, 224.0], [76.0, 224.0]], ('2 COKE', 0.9002926349639893)], [[[243.0, 207.0], [268.0, 207.0], [268.0, 219.0], [243.0, 219.0]], ('5.60', 0.9925501346588135)], [[[76.0, 224.0], [110.0, 224.0], [110.0, 235.0], [76.0, 235.0]], ('1S0UP', 0.8844599723815918)], [[[244.0, 219.0], [269.0, 219.0], [269.0, 231.0], [244.0, 231.0]], ('4.95', 0.9887493252754211)], [[[73.0, 233.0], [158.0, 234.0], [158.0, 248.0], [73.0, 247.0]], ('1STEAK&STOUT', 0.9701158404350281)], [[[241.0, 230.0], [272.0, 230.0], [272.0, 245.0], [241.0, 245.0]], ('16.95', 0.991390585899353)], [[[72.0, 245.0], [154.0, 246.0], [154.0, 260.0], [72.0, 259.0]], ('1TURKEY&HAM', 0.9629406332969666)], [[[241.0, 244.0], [272.0, 242.0], [273.0, 256.0], [242.0, 259.0]], ('15.95', 0.9935106039047241)], [[[71.0, 259.0], [180.0, 259.0], [180.0, 273.0], [71.0, 273.0]], ('2 SALMON A LA CARTE', 0.9485900402069092)], [[[242.0, 256.0], [275.0, 254.0], [276.0, 269.0], [243.0, 272.0]], ('37.90', 0.9911202192306519)], [[[84.0, 272.0], [152.0, 272.0], [152.0, 286.0], [84.0, 286.0]], ('10%DISCOUNT', 0.9746309518814087)], [[[245.0, 269.0], [278.0, 269.0], [278.0, 284.0], [245.0, 284.0]], ('-7.58', 0.9382485151290894)], [[[167.0, 298.0], [223.0, 298.0], [223.0, 323.0], [167.0, 323.0]], ('TOTAL Eur', 0.9699700474739075)], [[[244.0, 297.0], [278.0, 295.0], [280.0, 321.0], [246.0, 323.0]], ('82.97', 0.9366534948348999)], [[[101.0, 337.0], [209.0, 334.0], [210.0, 361.0], [101.0, 364.0]], ('THANK YOU', 0.9500535130500793)], [[[21.0, 363.0], [75.0, 363.0], [75.0, 380.0], [21.0, 380.0]], ('JENNIFER', 0.995309591293335)], [[[145.0, 363.0], [183.0, 363.0], [183.0, 377.0], [145.0, 377.0]], ('SYS3', 0.9846268892288208)], [[[199.0, 361.0], [234.0, 361.0], [234.0, 376.0], [199.0, 376.0]], ('TABLE', 0.9942666888237)], [[[256.0, 361.0], [272.0, 361.0], [272.0, 375.0], [256.0, 375.0]], ('33', 0.998019814491272)]]
{"store_name": "PIER1", "store_addr": "BAR&RESTAURANT DONEGALTOWN", "telephone": "", "date": "SAT16SEP2017", "time": "19:44", "subtotal": "", "tax": "", "total": "82.97", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "PTCLONMEL", "item_value": "9.20", "item_quantity": "1"}, {"item_key": "", "item_name": "COKE", "item_value": "5.60", "item_quantity": "1"}, {"item_key": "", "item_name": "SOUP", "item_value": "4.95", "item_quantity": "1"}, {"item_key": "", "item_name": "STEAK&STOUT", "item_value": "16.95", "item_quantity": "1"}, {"item_key": "", "item_name": "TURKEY&HAM", "item_value": "15.95", "item_quantity": "1"}, {"item_key": "", "item_name": "SALMONALACARTE", "item_value": "37.90", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[669.0, 161.0], [915.0, 151.0], [917.0, 210.0], [672.0, 220.0]], ('Dine in', 0.9359008073806763)], [[[274.0, 224.0], [603.0, 235.0], [601.0, 282.0], [272.0, 270.0]], ('Cashier:Sadie', 0.9691718220710754)], [[[256.0, 335.0], [731.0, 342.0], [730.0, 401.0], [255.0, 394.0]], ('Transaction 201382', 0.9687308073043823)], [[[238.0, 433.0], [268.0, 433.0], [268.0, 469.0], [238.0, 469.0]], ('7', 0.9761115312576294)], [[[1202.0, 427.0], [1348.0, 427.0], [1348.0, 480.0], [1202.0, 480.0]], ('$7.95', 0.9977042078971863)], [[[339.0, 441.0], [455.0, 449.0], [451.0, 498.0], [335.0, 490.0]], ('Gyro', 0.9972009062767029)], [[[229.0, 476.0], [266.0, 476.0], [266.0, 521.0], [229.0, 521.0]], ('7', 0.8018482327461243)], [[[329.0, 488.0], [452.0, 493.0], [450.0, 542.0], [327.0, 537.0]], ('Gyro', 0.9980736970901489)], [[[1203.0, 485.0], [1352.0, 475.0], [1356.0, 530.0], [1207.0, 541.0]], ('$7.95', 0.9983419179916382)], [[[637.0, 548.0], [1344.0, 540.0], [1344.0, 591.0], [638.0, 600.0]], ('ADD ONION RINGS INSTEAD', 0.9522657990455627)], [[[319.0, 661.0], [755.0, 661.0], [755.0, 706.0], [319.0, 706.0]], ('greek salad small', 0.9547370672225952)], [[[1219.0, 654.0], [1372.0, 646.0], [1375.0, 701.0], [1222.0, 709.0]], ('$4.85', 0.9977744817733765)], [[[314.0, 721.0], [683.0, 721.0], [683.0, 766.0], [314.0, 766.0]], ('Canned Drinks', 0.9632493257522583)], [[[1223.0, 714.0], [1380.0, 703.0], [1384.0, 759.0], [1227.0, 769.0]], ('$2.60', 0.9979715347290039)], [[[191.0, 832.0], [421.0, 837.0], [420.0, 884.0], [189.0, 879.0]], ('Subtotal', 0.9751408100128174)], [[[1204.0, 832.0], [1394.0, 832.0], [1394.0, 885.0], [1204.0, 885.0]], ('$23.35', 0.9986348152160645)], [[[185.0, 894.0], [279.0, 894.0], [279.0, 945.0], [185.0, 945.0]], ('Tax', 0.697138786315918)], [[[1244.0, 896.0], [1407.0, 896.0], [1407.0, 954.0], [1244.0, 954.0]], ('$2.76', 0.9983970522880554)], [[[168.0, 1020.0], [308.0, 1020.0], [308.0, 1075.0], [168.0, 1075.0]], ('Total', 0.9983218908309937)], [[[1220.0, 1026.0], [1416.0, 1026.0], [1416.0, 1086.0], [1220.0, 1086.0]], ('$26.11', 0.9976864457130432)], [[[155.0, 1118.0], [718.0, 1120.0], [718.0, 1171.0], [155.0, 1169.0]], ('CREDIT CARD AUTH', 0.9093790054321289)], [[[1231.0, 1124.0], [1429.0, 1124.0], [1429.0, 1184.0], [1231.0, 1184.0]], ('$26.11', 0.9103108048439026)], [[[1077.0, 1176.0], [1350.0, 1192.0], [1345.0, 1266.0], [1072.0, 1251.0]], ('WEONLX', 0.8613430857658386)], [[[138.0, 1186.0], [707.0, 1191.0], [707.0, 1242.0], [137.0, 1237.0]], ('MASTERCARD8724', 0.9956715703010559)], [[[112.0, 1313.0], [216.0, 1328.0], [205.0, 1406.0], [101.0, 1392.0]], ('Tip', 0.9969248175621033)], [[[1011.0, 1317.0], [1473.0, 1298.0], [1476.0, 1371.0], [1015.0, 1390.0]], ('CITIZENS', 0.9445408582687378)], [[[81.0, 1476.0], [240.0, 1476.0], [240.0, 1547.0], [81.0, 1547.0]], ('Total', 0.9961347579956055)], [[[113.0, 1685.0], [858.0, 1695.0], [856.0, 1874.0], [111.0, 1864.0]], ('Oogu.ll', 0.5112691521644592)], [[[623.0, 1919.0], [943.0, 1927.0], [941.0, 2008.0], [621.0, 2000.0]], ('Signature', 0.9949877858161926)]]
{"store_name": "", "store_addr": "", "telephone": "", "date": "15-Aug-2016", "time": "12:01:10p", "subtotal": "$23.35", "tax": "$2.76", "total": "$26.11", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "Gyro", "item_value": "$7.95", "item_quantity": "1"}, {"item_key": "", "item_name": "Gyro", "item_value": "$7.95", "item_quantity": "1"}, {"item_key": "", "item_name": "greeksaladsmall", "item_value": "$4.85", "item_quantity": "1"}, {"item_key": "", "item_name": "CannedDrinks", "item_value": "$2.60", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[412.0, 0.0], [445.0, 0.0], [445.0, 16.0], [412.0, 16.0]], ('14.', 0.9721358418464661)], [[[65.0, 13.0], [189.0, 5.0], [190.0, 21.0], [66.0, 29.0]], ('Tea 3 2.50', 0.9123139381408691)], [[[66.0, 29.0], [273.0, 13.0], [274.0, 31.0], [67.0, 47.0]], ('Kokos Salad 2 12.95', 0.9133966565132141)], [[[420.0, 28.0], [470.0, 14.0], [476.0, 37.0], [425.0, 51.0]], ('48.35', 0.9965302348136902)], [[[69.0, 46.0], [176.0, 37.0], [177.0, 54.0], [70.0, 63.0]], ('Steak Salad', 0.9729843139648438)], [[[431.0, 64.0], [482.0, 46.0], [489.0, 69.0], [439.0, 87.0]], ('48.35', 0.9954603910446167)], [[[73.0, 78.0], [236.0, 66.0], [237.0, 85.0], [74.0, 97.0]], ('Complete Subtotal', 0.9384469389915466)], [[[445.0, 77.0], [487.0, 65.0], [493.0, 88.0], [451.0, 100.0]], ('3.47', 0.9976112246513367)], [[[76.0, 112.0], [158.0, 106.0], [159.0, 128.0], [77.0, 134.0]], ('Subtotal', 0.9955514669418335)], [[[459.0, 109.0], [502.0, 100.0], [506.0, 124.0], [463.0, 132.0]], ('1.21', 0.9934349656105042)], [[[77.0, 132.0], [114.0, 129.0], [115.0, 149.0], [78.0, 151.0]], ('Tax', 0.9965007901191711)], [[[461.0, 149.0], [517.0, 136.0], [522.0, 160.0], [466.0, 173.0]], ('53.03', 0.9926042556762695)], [[[82.0, 166.0], [159.0, 162.0], [160.0, 184.0], [83.0, 187.0]], ('Occ Tax', 0.9160948991775513)], [[[85.0, 204.0], [143.0, 200.0], [145.0, 223.0], [87.0, 227.0]], ('Total', 0.9970871806144714)], [[[384.0, 211.0], [529.0, 176.0], [533.0, 198.0], [388.0, 233.0]], ('$53.03', 0.9859485626220703)], [[[91.0, 244.0], [326.0, 225.0], [328.0, 249.0], [93.0, 268.0]], ('Balance Due', 0.9595169425010681)], [[[270.0, 274.0], [378.0, 257.0], [381.0, 279.0], [273.0, 296.0]], ('Thank you!', 0.9363690614700317)], [[[234.0, 325.0], [436.0, 290.0], [440.0, 316.0], [238.0, 350.0]], ('How was your meal?', 0.9422938823699951)]]
{"store_name": "", "store_addr": "", "telephone": "", "date": "", "time": "", "subtotal": "48.35 48.35", "tax": "3.47 1.21", "total": "53.03 $53.03", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "Tea(3@2.50)", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "KokosSalad(2@12.95)", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "SteakSalad", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[157.0, 95.0], [192.0, 95.0], [192.0, 115.0], [157.0, 115.0]], ('INVOICE', 0.9569777846336365)], [[[123.0, 110.0], [148.0, 114.0], [146.0, 126.0], [121.0, 122.0]], ('20076', 0.8687655329704285)], [[[94.0, 142.0], [114.0, 145.0], [112.0, 161.0], [91.0, 158.0]], ('ITEM', 0.8266172409057617)], [[[230.0, 164.0], [257.0, 164.0], [257.0, 179.0], [230.0, 179.0]], ('70.00', 0.9323218464851379)], [[[233.0, 178.0], [258.0, 178.0], [258.0, 193.0], [233.0, 193.0]], ('0.00', 0.9814000129699707)], [[[157.0, 194.0], [190.0, 197.0], [188.0, 216.0], [155.0, 213.0]], ('S.PRARN', 0.6886408925056458)], [[[234.0, 201.0], [262.0, 201.0], [262.0, 212.0], [234.0, 212.0]], ('25.00', 0.9254940748214722)], [[[147.0, 218.0], [160.0, 218.0], [160.0, 234.0], [147.0, 234.0]], ('ior', 0.8264167904853821)], [[[204.0, 217.0], [230.0, 221.0], [227.0, 236.0], [201.0, 232.0]], ('0.6', 0.6917360424995422)], [[[240.0, 218.0], [266.0, 218.0], [266.0, 233.0], [240.0, 233.0]], ('8.00', 0.9595366716384888)], [[[205.0, 229.0], [232.0, 234.0], [229.0, 249.0], [202.0, 244.0]], ('0.00', 0.766391396522522)], [[[242.0, 232.0], [269.0, 232.0], [269.0, 247.0], [242.0, 247.0]], ('2.00', 0.9803731441497803)], [[[78.0, 246.0], [121.0, 246.0], [121.0, 261.0], [78.0, 261.0]], ('S', 0.6523948311805725)], [[[206.0, 243.0], [234.0, 247.0], [232.0, 262.0], [204.0, 258.0]], ('00', 0.6809316873550415)], [[[245.0, 247.0], [272.0, 247.0], [272.0, 262.0], [245.0, 262.0]], ('2.00', 0.9840812683105469)], [[[76.0, 268.0], [94.0, 268.0], [94.0, 280.0], [76.0, 280.0]], ('B01', 0.8100154399871826)], [[[77.0, 259.0], [153.0, 259.0], [153.0, 270.0], [77.0, 270.0]], ('Minced chicken', 0.9768558740615845)], [[[156.0, 260.0], [169.0, 260.0], [169.0, 269.0], [156.0, 269.0]], ('(S)', 0.9282558560371399)], [[[160.0, 267.0], [188.0, 267.0], [188.0, 282.0], [160.0, 282.0]], ('8.00', 0.8737057447433472)], [[[209.0, 269.0], [235.0, 269.0], [235.0, 281.0], [209.0, 281.0]], ('0.00', 0.9907032251358032)], [[[132.0, 279.0], [186.0, 279.0], [186.0, 293.0], [132.0, 293.0]], ('Homemado', 0.8480677604675293)], [[[252.0, 270.0], [278.0, 273.0], [276.0, 287.0], [250.0, 284.0]], ('8.00', 0.9628039002418518)], [[[92.0, 287.0], [111.0, 290.0], [109.0, 302.0], [90.0, 299.0]], ('852', 0.9393299221992493)], [[[73.0, 297.0], [137.0, 299.0], [137.0, 314.0], [72.0, 311.0]], ('Luo Han Guo', 0.9194179773330688)], [[[127.0, 291.0], [139.0, 291.0], [139.0, 299.0], [127.0, 299.0]], ('1', 0.6707761287689209)], [[[163.0, 290.0], [187.0, 290.0], [187.0, 302.0], [163.0, 302.0]], ('000', 0.9688099026679993)], [[[209.0, 290.0], [236.0, 290.0], [236.0, 302.0], [209.0, 302.0]], ('0.00', 0.9907020330429077)], [[[253.0, 288.0], [281.0, 291.0], [279.0, 306.0], [251.0, 303.0]], ('0.00', 0.9631494879722595)], [[[73.0, 310.0], [93.0, 310.0], [93.0, 322.0], [73.0, 322.0]], ('U01', 0.8714962005615234)], [[[128.0, 313.0], [137.0, 309.0], [142.0, 319.0], [133.0, 323.0]], ('3', 0.9358358383178711)], [[[162.0, 309.0], [189.0, 309.0], [189.0, 324.0], [162.0, 324.0]], ('1.50', 0.9878823757171631)], [[[211.0, 309.0], [236.0, 312.0], [234.0, 327.0], [209.0, 324.0]], ('0.00', 0.9887366890907288)], [[[72.0, 320.0], [129.0, 320.0], [129.0, 334.0], [72.0, 334.0]], ('WHITE RICE', 0.9475735425949097)], [[[255.0, 312.0], [280.0, 312.0], [280.0, 324.0], [255.0, 324.0]], ('4.50', 0.9923725128173828)], [[[72.0, 331.0], [90.0, 331.0], [90.0, 344.0], [72.0, 344.0]], ('X01', 0.9089849591255188)], [[[128.0, 332.0], [139.0, 330.0], [142.0, 342.0], [131.0, 344.0]], ('5', 0.9926740527153015)], [[[161.0, 330.0], [189.0, 330.0], [189.0, 346.0], [161.0, 346.0]], ('1.30', 0.978544294834137)], [[[210.0, 331.0], [238.0, 331.0], [238.0, 347.0], [210.0, 347.0]], ('0.00', 0.987933337688446)], [[[255.0, 332.0], [284.0, 332.0], [284.0, 348.0], [255.0, 348.0]], ('6.50', 0.9763213396072388)], [[[77.0, 348.0], [223.0, 354.0], [222.0, 367.0], [76.0, 361.0]], ('Sub Totai Before Di scount', 0.8838919401168823)], [[[76.0, 359.0], [115.0, 362.0], [114.0, 373.0], [75.0, 370.0]], ('GST6%', 0.9203476905822754)], [[[229.0, 356.0], [268.0, 356.0], [268.0, 367.0], [229.0, 367.0]], ('RM126', 0.9892083406448364)], [[[72.0, 367.0], [160.0, 373.0], [159.0, 390.0], [71.0, 384.0]], ('Servico Chargo', 0.9386047720909119)], [[[72.0, 381.0], [141.0, 385.0], [140.0, 400.0], [71.0, 397.0]], ('Total Sales', 0.9215041995048523)], [[[70.0, 395.0], [188.0, 400.0], [187.0, 414.0], [69.0, 409.0]], ('Rounding Adjustment', 0.9642461538314819)], [[[269.0, 397.0], [294.0, 394.0], [296.0, 411.0], [271.0, 414.0]], ('55', 0.9995721578598022)], [[[67.0, 413.0], [122.0, 417.0], [120.0, 440.0], [66.0, 436.0]], ('TOTAL', 0.9982341527938843)], [[[188.0, 413.0], [215.0, 410.0], [217.0, 426.0], [190.0, 429.0]], ('RM', 0.9983248710632324)], [[[42.0, 436.0], [84.0, 438.0], [83.0, 449.0], [41.0, 447.0]], ('*******', 0.7980553507804871)]]
{"store_name": "", "store_addr": "", "telephone": "", "date": "11/12/2016", "time": "14:31:27", "subtotal": "RM126.00", "tax": "RM7.56", "total": "RM133.55", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "WHITE RICE", "item_value": "70.00", "item_quantity": "1"}, {"item_key": "", "item_name": "LuoHanGuo", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Minced chicken(S)", "item_value": "25.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Homcmado", "item_value": "8.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "2.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "2.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "8.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "4.50", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "6.50", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[137.0, 10.0], [192.0, 10.0], [192.0, 17.0], [137.0, 17.0]], ('PlaceYou', 0.9613505601882935)], [[[70.0, 61.0], [188.0, 61.0], [188.0, 74.0], [70.0, 74.0]], ('CHECK REPRINT', 0.9269905686378479)], [[[208.0, 64.0], [219.0, 64.0], [219.0, 73.0], [208.0, 73.0]], ('#', 0.8858621716499329)], [[[71.0, 80.0], [230.0, 81.0], [229.0, 94.0], [71.0, 93.0]], ('GUANAJUATO MEXICAN', 0.9655669331550598)], [[[86.0, 100.0], [221.0, 101.0], [221.0, 116.0], [86.0, 114.0]], ('CHAPELHILL.NC', 0.9571926593780518)], [[[111.0, 91.0], [202.0, 92.0], [202.0, 104.0], [111.0, 102.0]], ('RESTAURANT', 0.9948757886886597)], [[[71.0, 135.0], [109.0, 135.0], [109.0, 145.0], [71.0, 145.0]], ('CHK#', 0.9895395636558533)], [[[121.0, 135.0], [187.0, 135.0], [187.0, 145.0], [121.0, 145.0]], ('231T/0', 0.9257586598396301)], [[[229.0, 134.0], [248.0, 134.0], [248.0, 146.0], [229.0, 146.0]], ('10', 0.9916832447052002)], [[[71.0, 145.0], [127.0, 145.0], [127.0, 156.0], [71.0, 156.0]], ('EVELIN', 0.9914044737815857)], [[[194.0, 145.0], [205.0, 145.0], [205.0, 154.0], [194.0, 154.0]], ('#', 0.9932584762573242)], [[[234.0, 144.0], [249.0, 144.0], [249.0, 156.0], [234.0, 156.0]], ('5', 0.9965571165084839)], [[[69.0, 155.0], [188.0, 153.0], [188.0, 166.0], [69.0, 168.0]], ('02/02/201618:41QUESTS0', 0.9213318228721619)], [[[192.0, 155.0], [229.0, 155.0], [229.0, 166.0], [192.0, 166.0]], ('CASHIER', 0.9895243048667908)], [[[236.0, 155.0], [246.0, 155.0], [246.0, 164.0], [236.0, 164.0]], ('1', 0.846487283706665)], [[[78.0, 177.0], [109.0, 177.0], [109.0, 188.0], [78.0, 188.0]], ('DINING', 0.9578962326049805)], [[[104.0, 187.0], [145.0, 187.0], [145.0, 197.0], [104.0, 197.0]], ('1FAJCK', 0.81233149766922)], [[[221.0, 186.0], [247.0, 186.0], [247.0, 197.0], [221.0, 197.0]], ('14.19', 0.9770039319992065)], [[[106.0, 198.0], [158.0, 198.0], [158.0, 208.0], [106.0, 208.0]], ('1KIDSIACO', 0.8152761459350586)], [[[225.0, 197.0], [248.0, 197.0], [248.0, 209.0], [225.0, 209.0]], ('3.99', 0.9899176359176636)], [[[105.0, 209.0], [184.0, 209.0], [184.0, 219.0], [105.0, 219.0]], ('1CHICKEN FINGERS', 0.895768940448761)], [[[225.0, 206.0], [248.0, 208.0], [247.0, 220.0], [223.0, 218.0]], ('3.99', 0.9661508202552795)], [[[104.0, 218.0], [137.0, 220.0], [136.0, 232.0], [103.0, 230.0]], ('3FLAN', 0.9586254358291626)], [[[224.0, 218.0], [248.0, 218.0], [248.0, 230.0], [224.0, 230.0]], ('8.25', 0.965621829032898)], [[[78.0, 231.0], [121.0, 231.0], [121.0, 242.0], [78.0, 242.0]], ('SUBTOTAL:', 0.9829092025756836)], [[[223.0, 229.0], [248.0, 229.0], [248.0, 241.0], [223.0, 241.0]], ('30.42', 0.9823685884475708)], [[[78.0, 242.0], [100.0, 242.0], [100.0, 253.0], [78.0, 253.0]], ('TAX:', 0.883230984210968)], [[[227.0, 240.0], [250.0, 240.0], [250.0, 252.0], [227.0, 252.0]], ('2.05', 0.9621485471725464)], [[[77.0, 253.0], [103.0, 253.0], [103.0, 264.0], [77.0, 264.0]], ('B#231', 0.976579487323761)], [[[142.0, 252.0], [173.0, 252.0], [173.0, 263.0], [142.0, 263.0]], ('T#2132', 0.8926887512207031)], [[[78.0, 264.0], [122.0, 264.0], [122.0, 275.0], [78.0, 275.0]], ('TOTAL', 0.996292233467102)], [[[203.0, 261.0], [253.0, 259.0], [254.0, 273.0], [204.0, 275.0]], ('32.47', 0.9881540536880493)], [[[67.0, 297.0], [255.0, 295.0], [255.0, 308.0], [67.0, 310.0]], ('THANKS FOR DINING AT', 0.9272451400756836)], [[[122.0, 309.0], [220.0, 307.0], [220.0, 320.0], [122.0, 323.0]], ('GUANAJUA TO', 0.9538359045982361)], [[[63.0, 321.0], [237.0, 319.0], [237.0, 332.0], [63.0, 335.0]], ('MEXICAN RESTAURANT', 0.9665971398353577)], [[[72.0, 334.0], [229.0, 331.0], [230.0, 345.0], [72.0, 348.0]], ('PLEASE PAY FRONT', 0.9478721022605896)], [[[283.0, 328.0], [308.0, 328.0], [308.0, 340.0], [283.0, 340.0]], ('CAN', 0.9831692576408386)], [[[120.0, 346.0], [213.0, 346.0], [213.0, 359.0], [120.0, 359.0]], ("CASHIER'S", 0.9849755764007568)], [[[285.0, 341.0], [311.0, 341.0], [311.0, 352.0], [285.0, 352.0]], ('RESS', 0.996815025806427)], [[[73.0, 359.0], [232.0, 359.0], [232.0, 372.0], [73.0, 372.0]], ('FOR ORDERS TO-GO', 0.9321162700653076)], [[[72.0, 373.0], [125.0, 374.0], [125.0, 385.0], [72.0, 384.0]], ('CALL.', 0.9656615257263184)], [[[138.0, 371.0], [232.0, 371.0], [232.0, 384.0], [138.0, 384.0]], ('929-8012', 0.99098801612854)], [[[112.0, 383.0], [203.0, 382.0], [203.0, 396.0], [112.0, 397.0]], ('"GRACIAS"', 0.9057914018630981)]]
{"store_name": "GUANAJUATOMEXICAN RESTAURANT", "store_addr": "CHAPELHILL.NC", "telephone": "", "date": "02/02/2016", "time": "18:41", "subtotal": "30.42", "tax": "2.05", "total": "32.47", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "FAJCK", "item_value": "14.19", "item_quantity": "1"}, {"item_key": "", "item_name": "KIDSTACO", "item_value": "3.99", "item_quantity": "1"}, {"item_key": "", "item_name": "DHICKENFINGERS", "item_value": "3.99", "item_quantity": "1"}, {"item_key": "", "item_name": "FLAN", "item_value": "8.25", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[127.0, 102.0], [242.0, 117.0], [239.0, 144.0], [123.0, 129.0]], ("INNER'S,", 0.8772491216659546)], [[[158.0, 153.0], [267.0, 159.0], [265.0, 184.0], [156.0, 178.0]], ("WINNER'S BAMBOUS", 0.9483398795127869)], [[[144.0, 176.0], [271.0, 183.0], [270.0, 198.0], [144.0, 191.0]], ('Royal Road. Banbous', 0.8924599885940552)], [[[162.0, 191.0], [260.0, 196.0], [259.0, 211.0], [161.0, 206.0]], ('PICK &BUY LTD', 0.8929681777954102)], [[[124.0, 203.0], [291.0, 210.0], [291.0, 225.0], [123.0, 218.0]], ('VAT Reg.NoVAT20032249', 0.9560628533363342)], [[[156.0, 217.0], [261.0, 220.0], [260.0, 234.0], [156.0, 231.0]], ('BRNC06003539', 0.9889624714851379)], [[[103.0, 227.0], [224.0, 232.0], [224.0, 247.0], [103.0, 242.0]], ('Tel452-5743/66', 0.9490920901298523)], [[[84.0, 240.0], [116.0, 240.0], [116.0, 256.0], [84.0, 256.0]], ('9>F', 0.7938999533653259)], [[[130.0, 241.0], [222.0, 244.0], [222.0, 258.0], [130.0, 255.0]], ('LEGUMES FRAIS', 0.9737532138824463)], [[[218.0, 232.0], [305.0, 234.0], [305.0, 248.0], [217.0, 246.0]], ('Fax452-0202', 0.9814117550849915)], [[[83.0, 253.0], [116.0, 253.0], [116.0, 268.0], [83.0, 268.0]], ('4>F', 0.9540147185325623)], [[[130.0, 254.0], [228.0, 256.0], [228.0, 270.0], [130.0, 268.0]], ('ARTICLE MENAGE', 0.9744168519973755)], [[[296.0, 246.0], [333.0, 246.0], [333.0, 261.0], [296.0, 261.0]], ('4.90R', 0.9797558784484863)], [[[296.0, 255.0], [335.0, 258.0], [333.0, 274.0], [295.0, 271.0]], ('7.50R', 0.9486560821533203)], [[[84.0, 267.0], [101.0, 267.0], [101.0, 282.0], [84.0, 282.0]], ('2>', 0.9065462350845337)], [[[111.0, 270.0], [121.0, 270.0], [121.0, 280.0], [111.0, 280.0]], ('R', 0.9967674016952515)], [[[130.0, 267.0], [234.0, 268.0], [234.0, 283.0], [130.0, 282.0]], ('CANDIA1LT-1/2L', 0.9430999159812927)], [[[292.0, 269.0], [336.0, 271.0], [335.0, 286.0], [291.0, 284.0]], ('37.95R', 0.9665217399597168)], [[[84.0, 280.0], [102.0, 280.0], [102.0, 294.0], [84.0, 294.0]], ('4>', 0.9552946090698242)], [[[110.0, 283.0], [121.0, 283.0], [121.0, 292.0], [110.0, 292.0]], ('R', 0.9841576814651489)], [[[130.0, 280.0], [228.0, 282.0], [228.0, 297.0], [130.0, 294.0]], ('COCA COLA 1.5L', 0.938073456287384)], [[[84.0, 292.0], [101.0, 292.0], [101.0, 307.0], [84.0, 307.0]], ('4>', 0.9488150477409363)], [[[293.0, 284.0], [335.0, 284.0], [335.0, 299.0], [293.0, 299.0]], ('31.95R', 0.9399654269218445)], [[[133.0, 296.0], [190.0, 296.0], [190.0, 307.0], [133.0, 307.0]], ('HIB.425G', 0.9900788068771362)], [[[84.0, 306.0], [103.0, 306.0], [103.0, 320.0], [84.0, 320.0]], ('4>', 0.9386552572250366)], [[[131.0, 306.0], [237.0, 307.0], [237.0, 322.0], [131.0, 321.0]], ('SUN.WH.KER.CORN', 0.97762131690979)], [[[293.0, 297.0], [336.0, 297.0], [336.0, 312.0], [293.0, 312.0]], ('25.95R', 0.9378408789634705)], [[[84.0, 320.0], [103.0, 320.0], [103.0, 334.0], [84.0, 334.0]], ('4>', 0.9193909168243408)], [[[131.0, 320.0], [237.0, 321.0], [237.0, 336.0], [131.0, 335.0]], ('S.REM0500-FETTU', 0.9548636078834534)], [[[294.0, 311.0], [336.0, 311.0], [336.0, 325.0], [294.0, 325.0]], ('19.95R', 0.9531807899475098)], [[[107.0, 325.0], [117.0, 318.0], [124.0, 329.0], [114.0, 335.0]], ('R', 0.8352205753326416)], [[[295.0, 323.0], [338.0, 323.0], [338.0, 338.0], [295.0, 338.0]], ('37.95R', 0.9612578749656677)], [[[84.0, 334.0], [103.0, 334.0], [103.0, 348.0], [84.0, 348.0]], ('2>', 0.8434841632843018)], [[[109.0, 336.0], [121.0, 336.0], [121.0, 346.0], [109.0, 346.0]], ('R', 0.9931961297988892)], [[[131.0, 333.0], [216.0, 334.0], [216.0, 349.0], [131.0, 348.0]], ('RAJAH 1L BTL', 0.9214063286781311)], [[[295.0, 334.0], [339.0, 336.0], [338.0, 352.0], [294.0, 350.0]], ('54.50R', 0.9814230799674988)], [[[83.0, 348.0], [101.0, 348.0], [101.0, 362.0], [83.0, 362.0]], ('<6', 0.906423807144165)], [[[131.0, 347.0], [238.0, 349.0], [238.0, 364.0], [131.0, 362.0]], ('MAYIL-PIM.CONCA', 0.983536422252655)], [[[84.0, 359.0], [102.0, 362.0], [99.0, 376.0], [81.0, 373.0]], ('4>', 0.9117433428764343)], [[[296.0, 350.0], [339.0, 350.0], [339.0, 366.0], [296.0, 366.0]], ('12.50R', 0.9797370433807373)], [[[131.0, 360.0], [232.0, 363.0], [231.0, 378.0], [131.0, 375.0]], ('MAGNUM CLASSIC', 0.9713667631149292)], [[[295.0, 362.0], [340.0, 365.0], [339.0, 381.0], [294.0, 378.0]], ('50.00R', 0.9531021118164062)], [[[83.0, 375.0], [104.0, 375.0], 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[100.0, 432.0], [82.0, 432.0]], ('4>', 0.953804612159729)], [[[132.0, 419.0], [223.0, 419.0], [223.0, 433.0], [132.0, 433.0]], ('PHOENIX 33 CL', 0.9273643493652344)], [[[296.0, 418.0], [341.0, 420.0], [340.0, 436.0], [295.0, 434.0]], ('22.00R', 0.9585193991661072)], [[[83.0, 432.0], [100.0, 432.0], [100.0, 447.0], [83.0, 447.0]], ('9>', 0.9174842834472656)], [[[132.0, 434.0], [225.0, 434.0], [225.0, 448.0], [132.0, 448.0]], ('Consigne 6.00', 0.9702322483062744)], [[[302.0, 431.0], [341.0, 434.0], [340.0, 450.0], [300.0, 447.0]], ('6.00R', 0.9597477912902832)], [[[83.0, 447.0], [102.0, 447.0], [102.0, 461.0], [83.0, 461.0]], ('4>', 0.9471973180770874)], [[[110.0, 449.0], [121.0, 449.0], [121.0, 459.0], [110.0, 459.0]], ('R', 0.9822370409965515)], [[[128.0, 446.0], [237.0, 448.0], [237.0, 463.0], [128.0, 460.0]], ('G.ISLAND-S/LITE', 0.9688202738761902)], [[[289.0, 446.0], [341.0, 449.0], [340.0, 465.0], [289.0, 462.0]], ('154.95R', 0.9752487540245056)], [[[82.0, 461.0], [103.0, 461.0], [103.0, 474.0], [82.0, 474.0]], ('4>', 0.8818557262420654)], [[[109.0, 464.0], [121.0, 464.0], [121.0, 473.0], [109.0, 473.0]], ('R', 0.9945700764656067)], [[[130.0, 460.0], [230.0, 462.0], [230.0, 477.0], [130.0, 475.0]], ('PANDA MACARONI', 0.9749237298965454)], [[[296.0, 464.0], [340.0, 464.0], [340.0, 479.0], [296.0, 479.0]], ('15.50R', 0.9685844779014587)], [[[82.0, 475.0], [102.0, 475.0], [102.0, 489.0], [82.0, 489.0]], ('9>', 0.8678762912750244)], [[[110.0, 478.0], [121.0, 478.0], [121.0, 488.0], [110.0, 488.0]], ('R', 0.9923763871192932)], [[[128.0, 475.0], [237.0, 477.0], [237.0, 491.0], [128.0, 490.0]], ('D.FRESH BASM.2K', 0.9493997693061829)], [[[296.0, 475.0], [341.0, 478.0], [340.0, 494.0], [295.0, 491.0]], ('95.95R', 0.9830822944641113)], [[[85.0, 486.0], [103.0, 492.0], [97.0, 508.0], [79.0, 501.0]], ('9', 0.8771946430206299)], [[[131.0, 489.0], [218.0, 490.0], [217.0, 505.0], [131.0, 504.0]], ('TOMATE M./KG', 0.9491748809814453)], [[[296.0, 491.0], [341.0, 491.0], 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603.0], [81.0, 603.0]], ('4>', 0.9375417232513428)], [[[130.0, 588.0], [238.0, 589.0], [238.0, 604.0], [130.0, 603.0]], ('HEINZ KETCHU200', 0.9670145511627197)], [[[297.0, 591.0], [343.0, 591.0], [343.0, 606.0], [297.0, 606.0]], ('23.95R', 0.9863347411155701)], [[[82.0, 603.0], [102.0, 603.0], [102.0, 616.0], [82.0, 616.0]], ('4>', 0.9381563663482666)], [[[110.0, 605.0], [120.0, 605.0], [120.0, 615.0], [110.0, 615.0]], ('R', 0.9878154993057251)], [[[128.0, 603.0], [238.0, 605.0], [238.0, 619.0], [128.0, 617.0]], ('DIEGO 1L-EXOTI.', 0.9107211232185364)], [[[299.0, 605.0], [343.0, 605.0], [343.0, 620.0], [299.0, 620.0]], ('28.95R', 0.9672596454620361)], [[[82.0, 617.0], [101.0, 617.0], [101.0, 631.0], [82.0, 631.0]], ('9>', 0.9212783575057983)], [[[109.0, 620.0], [120.0, 620.0], [120.0, 631.0], [109.0, 631.0]], ('R', 0.9971705079078674)], [[[128.0, 617.0], [238.0, 619.0], [238.0, 634.0], [128.0, 632.0]], ('WIN.TUNA170-FLA', 0.9730443358421326)], [[[299.0, 619.0], [344.0, 619.0], [344.0, 635.0], [299.0, 635.0]], ('20.95R', 0.9835678935050964)], [[[81.0, 631.0], [98.0, 631.0], [98.0, 646.0], [81.0, 646.0]], ('4>', 0.9595791101455688)], [[[131.0, 633.0], [238.0, 633.0], [238.0, 648.0], [131.0, 648.0]], ('DORITOS45-FIERY', 0.9875481128692627)], [[[301.0, 634.0], [345.0, 634.0], [345.0, 649.0], [301.0, 649.0]], ('12.95R', 0.9819625020027161)], [[[82.0, 646.0], [101.0, 646.0], [101.0, 659.0], [82.0, 659.0]], ('4>', 0.8713706731796265)], [[[105.0, 654.0], [115.0, 645.0], [123.0, 653.0], [114.0, 662.0]], ('R', 0.8273266553878784)], [[[128.0, 645.0], [233.0, 648.0], [232.0, 663.0], [128.0, 660.0]], ('EAU VITAL 1.5L', 0.9306941032409668)], [[[301.0, 648.0], [346.0, 648.0], [346.0, 663.0], [301.0, 663.0]], ('13.95R', 0.9834854602813721)], [[[110.0, 676.0], [231.0, 676.0], [231.0, 691.0], [110.0, 691.0]], ('Sous-Total27', 0.9730443954467773)], [[[287.0, 673.0], [349.0, 676.0], [348.0, 695.0], [286.0, 692.0]], ('1056.13R', 0.9747990965843201)], [[[102.0, 705.0], [234.0, 707.0], 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{"store_name": "WINNER'SBAMBOUS", "store_addr": "RoyalRoad,Bambous", "telephone": "452-5743/66", "date": "30/07/2011", "time": "16:43:59", "subtotal": "1056.13R", "tax": "0.00 99.63 0.00", "total": "1056.13R", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "EAUVITAL1.5L", "item_value": "4.90R", "item_quantity": "1"}, {"item_key": "", "item_name": "DORITOS45-FIERY", "item_value": "7.50R", "item_quantity": "1"}, {"item_key": "", "item_name": "WIN.TUNA170-FLA", "item_value": "37.95R", "item_quantity": "1"}, {"item_key": "", "item_name": "DIEGO1L-EXOTI.", "item_value": "31.95R", "item_quantity": "1"}, {"item_key": "", "item_name": "HEINZKETCHU200", "item_value": "25.95R", "item_quantity": "1"}, {"item_key": "", "item_name": "Consigne8.00", "item_value": "19.95R", "item_quantity": "1"}, {"item_key": "", "item_name": "D.D\u2019ATHENESRS", "item_value": "37.95R", "item_quantity": "1"}, {"item_key": "", "item_name": "VRSELECTCAPE", "item_value": "54.50R", "item_quantity": "1"}, {"item_key": "", "item_name": "F.MOSOUITOX10", "item_value": "12.50R", "item_quantity": "1"}, {"item_key": "", "item_name": "MAYIL50POI.FLA", "item_value": "50.00R", "item_quantity": "1"}, {"item_key": "", "item_name": "TOMATEM./KG", "item_value": "19.95R", "item_quantity": "1"}, {"item_key": "", "item_name": "D.FRESHBASM.2K", "item_value": "22.95R", "item_quantity": "1"}, {"item_key": "", "item_name": "PANDAMACARONI", "item_value": "6.50R", "item_quantity": "1"}, {"item_key": "", "item_name": "G.ISLAND-S/LITE", "item_value": "22.00R", "item_quantity": "1"}, {"item_key": "", "item_name": "Consigne6.00", "item_value": "6.00R", "item_quantity": "1"}, {"item_key": "", "item_name": "PHOENIX33CL", "item_value": "154.95R", "item_quantity": "1"}, {"item_key": "", "item_name": "PRESTO80G-POUL", "item_value": "15.50R", "item_quantity": "1"}, {"item_key": "", "item_name": "HEINZ220BEANTS", "item_value": "95.95R", "item_quantity": "1"}, {"item_key": "", "item_name": "D.TOMATOES400G", "item_value": "34.03R", "item_quantity": "1"}, {"item_key": "", "item_name": "MAGNUMCLASSIC", "item_value": "17.50R", "item_quantity": "1"}, {"item_key": "", "item_name": "MAYIL-PIM.CONCA", "item_value": "19.00R", "item_quantity": "1"}, {"item_key": "", "item_name": "RAJAH1LBIL", "item_value": "169.95R", "item_quantity": "1"}, {"item_key": "", "item_name": "S.REM0500-FETTU", "item_value": "79.95R", "item_quantity": "1"}, {"item_key": "", "item_name": "SUN.WH.KER.CORN", "item_value": "8.00R", "item_quantity": "1"}, {"item_key": "", "item_name": "HIB.425G", "item_value": "23.95R", "item_quantity": "1"}, {"item_key": "", "item_name": "COCACOLA1.50L", "item_value": "28.95R", "item_quantity": "1"}, {"item_key": "", "item_name": "CANDIA1LT-1/2(L", "item_value": "20.95R", "item_quantity": "1"}, {"item_key": "", "item_name": "ARTICLEMENAGE", "item_value": "12.95R", "item_quantity": "1"}, {"item_key": "", "item_name": "LEGUMESFRAIS", "item_value": "13.95R", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[275.0, 98.0], [442.0, 115.0], [439.0, 144.0], [272.0, 127.0]], ("Aur e Anne's", 0.9382541179656982)], [[[207.0, 124.0], [500.0, 143.0], [498.0, 179.0], [204.0, 160.0]], ('Lot CC.1 Nu Sentral,', 0.8869463801383972)], [[[218.0, 158.0], [489.0, 173.0], [487.0, 211.0], [215.0, 196.0]], ('Kuala L pur Sentral,', 0.9013273119926453)], [[[229.0, 192.0], [475.0, 205.0], [473.0, 242.0], [227.0, 229.0]], ('50470 ala Lumpur.', 0.9280710816383362)], [[[94.0, 354.0], [303.0, 363.0], [301.0, 390.0], [92.0, 380.0]], ('Bi11 No.:001-39', 0.8882636427879333)], [[[322.0, 365.0], [356.0, 365.0], [356.0, 390.0], [322.0, 390.0]], ('104', 0.9924635887145996)], [[[508.0, 364.0], [617.0, 366.0], [616.0, 396.0], [507.0, 393.0]], ('Take Out', 0.93900465965271)], [[[92.0, 388.0], [303.0, 396.0], [301.0, 422.0], [91.0, 414.0]], ('Date:2014/09/05', 0.968883216381073)], [[[325.0, 397.0], [419.0, 397.0], [419.0, 423.0], [325.0, 423.0]], ('8:43:13', 0.8776808381080627)], [[[90.0, 449.0], [276.0, 458.0], [275.0, 487.0], [89.0, 477.0]], ('Cinnamon Sugar', 0.9798406958580017)], [[[466.0, 462.0], [483.0, 462.0], [483.0, 486.0], [466.0, 486.0]], ('1', 0.9881763458251953)], [[[530.0, 460.0], [614.0, 460.0], [614.0, 491.0], [530.0, 491.0]], ('RM3.80', 0.9917886853218079)], [[[474.0, 519.0], [612.0, 522.0], [611.0, 577.0], [473.0, 575.0]], ('R3.80', 0.9752071499824524)], [[[325.0, 541.0], [442.0, 541.0], [442.0, 571.0], [325.0, 571.0]], ('and Total', 0.9573741555213928)], [[[85.0, 598.0], [322.0, 602.0], [322.0, 631.0], [85.0, 627.0]], ('Included Tax ', 0.9255508780479431)], [[[315.0, 603.0], [387.0, 603.0], [387.0, 634.0], [315.0, 634.0]], ('10.22)', 0.8503029346466064)], [[[385.0, 663.0], [445.0, 667.0], [442.0, 700.0], [382.0, 696.0]], ('CASH', 0.9979060888290405)], [[[517.0, 670.0], [613.0, 673.0], [612.0, 704.0], [516.0, 700.0]], ('RM20.00', 0.9919330477714539)], [[[360.0, 697.0], [441.0, 703.0], [439.0, 735.0], [357.0, 729.0]], ('Change', 0.9157319068908691)], [[[516.0, 704.0], [614.0, 706.0], [614.0, 737.0], [515.0, 735.0]], ('RM16.20', 0.9949507117271423)], [[[143.0, 767.0], [277.0, 767.0], [277.0, 797.0], [143.0, 797.0]], ('Thank You.', 0.9504789113998413)], [[[320.0, 771.0], [526.0, 776.0], [525.0, 801.0], [319.0, 797.0]], ('ease come again.', 0.954330563545227)], [[[168.0, 803.0], [290.0, 803.0], [290.0, 830.0], [168.0, 830.0]], ('Comments/', 0.9886251091957092)], [[[315.0, 802.0], [519.0, 807.0], [519.0, 835.0], [314.0, 831.0]], ('iquiry,email to', 0.9108202457427979)], [[[197.0, 834.0], [290.0, 834.0], [290.0, 864.0], [197.0, 864.0]], ('info@ch', 0.9775017499923706)], [[[316.0, 836.0], [478.0, 842.0], [477.0, 871.0], [315.0, 865.0]], ('snajenio.com', 0.9638743996620178)], [[[66.0, 904.0], [266.0, 897.0], [266.0, 922.0], [67.0, 929.0]], ('2014/09/05 18:43:23', 0.9559407234191895)], [[[312.0, 898.0], [548.0, 910.0], [547.0, 936.0], [310.0, 923.0]], ('d A1iff 001-391904 [1', 0.9161524772644043)]]
{"store_name": "AureAnne's", "store_addr": "50470alaLumpur. KualaLpurSentra, Lotcc.1,NuSentral,", "telephone": "", "date": "2014/09/05 2014/09/05", "time": "18:43:23 8:43:13", "subtotal": "", "tax": "(IncludedTax:0.22)", "total": "RM3.80", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "CinnamonSugar", "item_value": "RM3.80", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[124.0, 0.0], [184.0, 0.0], [184.0, 17.0], [124.0, 17.0]], ('1701', 0.9982069730758667)], [[[96.0, 18.0], [213.0, 18.0], [213.0, 38.0], [96.0, 38.0]], ("28FEB'13 19:13", 0.9052433371543884)], [[[35.0, 62.0], [205.0, 77.0], [202.0, 104.0], [33.0, 89.0]], ('Welcom014.50', 0.8692451119422913)], [[[198.0, 76.0], [248.0, 76.0], [248.0, 94.0], [198.0, 94.0]], ('Nore', 0.7739111185073853)], [[[65.0, 99.0], [194.0, 103.0], [193.0, 121.0], [65.0, 117.0]], ('Dinner Inclusive', 0.983487606048584)], [[[222.0, 102.0], [264.0, 102.0], [264.0, 121.0], [222.0, 121.0]], ('29.00', 0.9971232414245605)], [[[51.0, 118.0], [154.0, 123.0], [154.0, 141.0], [51.0, 136.0]], ('1PT Pedigree', 0.9682080745697021)], [[[226.0, 122.0], [263.0, 122.0], [263.0, 141.0], [226.0, 141.0]], ('3.50', 0.9968146085739136)], [[[52.0, 139.0], [148.0, 142.0], [147.0, 160.0], [52.0, 158.0]], ('1 Legato Red', 0.9340384602546692)], [[[220.0, 142.0], [261.0, 142.0], [261.0, 160.0], [220.0, 160.0]], ('17.50', 0.9970626831054688)], [[[69.0, 177.0], [257.0, 179.0], [256.0, 196.0], [69.0, 194.0]], ('Rest 2013 2Dine Wine 0.00', 0.9423294067382812)], [[[69.0, 214.0], [263.0, 215.0], [263.0, 232.0], [69.0, 231.0]], ('Rest 2013 2Dine Win 17.50-', 0.9285985231399536)], [[[52.0, 267.0], [152.0, 269.0], [152.0, 287.0], [52.0, 285.0]], ('6.25VAT 20%', 0.9265220165252686)], [[[223.0, 270.0], [267.0, 270.0], [267.0, 288.0], [223.0, 288.0]], ('37.50', 0.9901050329208374)], [[[66.0, 287.0], [126.0, 287.0], [126.0, 305.0], [66.0, 305.0]], ('Food', 0.9888299107551575)], [[[124.0, 289.0], [210.0, 289.0], [210.0, 310.0], [124.0, 310.0]], ('LACE', 0.8020695447921753)], [[[217.0, 291.0], [258.0, 291.0], [258.0, 306.0], [217.0, 306.0]], ('18.08', 0.9950020909309387)], [[[67.0, 304.0], [134.0, 310.0], [132.0, 328.0], [66.0, 322.0]], ('Beverage', 0.988740086555481)], [[[126.0, 312.0], [171.0, 317.0], [169.0, 335.0], [124.0, 330.0]], ('Stels', 0.8599177598953247)], [[[222.0, 306.0], [259.0, 309.0], [258.0, 328.0], [221.0, 325.0]], ('3.50', 0.9943941831588745)], [[[66.0, 323.0], [101.0, 326.0], [100.0, 344.0], [65.0, 341.0]], ('Wine', 0.9915885329246521)], [[[218.0, 327.0], [258.0, 327.0], [258.0, 346.0], [218.0, 346.0]], ('10.92', 0.9941962957382202)], [[[66.0, 341.0], [158.0, 345.0], [158.0, 365.0], [65.0, 361.0]], ('10%Svc Chg', 0.934684157371521)], [[[221.0, 344.0], [259.0, 347.0], [258.0, 366.0], [220.0, 363.0]], ('5.00', 0.9940780997276306)], [[[65.0, 361.0], [135.0, 364.0], [135.0, 382.0], [65.0, 380.0]], ('TOTAL DUE', 0.9611797332763672)], [[[216.0, 363.0], [259.0, 366.0], [258.0, 384.0], [215.0, 381.0]], ('37.50', 0.9937577247619629)], [[[24.0, 397.0], [89.0, 399.0], [89.0, 420.0], [24.0, 418.0]], ('Room No', 0.9156048893928528)]]
{"store_name": "", "store_addr": "", "telephone": "", "date": "28FEB'13", "time": "19:13", "subtotal": "37.50", "tax": "", "total": "37.50", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "DinnerInclusive", "item_value": "29.00", "item_quantity": "1"}, {"item_key": "", "item_name": "PTPedigree", "item_value": "3.50", "item_quantity": "1"}, {"item_key": "", "item_name": "LegatoRed", "item_value": "17.50", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[50.0, 2.0], [184.0, 0.0], [184.0, 13.0], [51.0, 16.0]], ('La Baguette Bar &', 0.948549747467041)], [[[97.0, 16.0], [137.0, 14.0], [138.0, 29.0], [97.0, 31.0]], ('Grill', 0.8947070837020874)], [[[72.0, 38.0], [156.0, 37.0], [156.0, 48.0], [72.0, 49.0]], ('305532.4000FAX', 0.8246088624000549)], [[[84.0, 30.0], [147.0, 28.0], [147.0, 39.0], [84.0, 41.0]], ('Mas.FL33139', 0.7834699153900146)], [[[92.0, 47.0], [123.0, 47.0], [123.0, 57.0], [92.0, 57.0]], ('E-WAIL:', 0.8537837266921997)], [[[34.0, 74.0], [112.0, 72.0], [113.0, 83.0], [35.0, 85.0]], ('REDEPI1001/111257', 0.7548444271087646)], [[[36.0, 66.0], [73.0, 66.0], [73.0, 76.0], [36.0, 76.0]], ('FORAEFE', 0.6416100859642029)], [[[122.0, 81.0], [194.0, 81.0], [194.0, 92.0], [122.0, 92.0]], ('RTL201', 0.7833749651908875)], [[[127.0, 73.0], [191.0, 71.0], [191.0, 81.0], [128.0, 84.0]], ('DIE2/25/2016', 0.857185423374176)], [[[35.0, 83.0], [106.0, 82.0], [106.0, 93.0], [35.0, 94.0]], ('SELLER SO STAVD', 0.8229199051856995)], [[[37.0, 92.0], [106.0, 91.0], [106.0, 102.0], [38.0, 104.0]], ('QTY DESCRIPTION', 0.8653797507286072)], [[[132.0, 91.0], [157.0, 91.0], [157.0, 102.0], [132.0, 102.0]], ('PRICE', 0.7844374775886536)], [[[160.0, 90.0], [188.0, 90.0], [188.0, 101.0], [160.0, 101.0]], ('TOIN', 0.8698351979255676)], [[[44.0, 111.0], [121.0, 109.0], [122.0, 120.0], [45.0, 122.0]], ('1Sper r L', 0.7514100670814514)], [[[137.0, 108.0], [162.0, 108.0], [162.0, 120.0], [137.0, 120.0]], ('55.00', 0.9067746996879578)], [[[172.0, 107.0], [198.0, 107.0], [198.0, 119.0], [172.0, 119.0]], ('55.00', 0.9618569612503052)], [[[44.0, 119.0], [122.0, 117.0], [123.0, 132.0], [45.0, 133.0]], (' Super Drink ', 0.7097246646881104)], [[[137.0, 119.0], [162.0, 119.0], [162.0, 130.0], [137.0, 130.0]], ('55.00', 0.9150246381759644)], [[[173.0, 118.0], [198.0, 118.0], [198.0, 129.0], [173.0, 129.0]], ('55.00', 0.9603854417800903)], [[[138.0, 128.0], [162.0, 128.0], [162.0, 139.0], [138.0, 139.0]], ('55.00', 0.9570297002792358)], [[[173.0, 127.0], [198.0, 127.0], [198.0, 139.0], [173.0, 139.0]], ('55.00', 0.9868353605270386)], [[[45.0, 139.0], [125.0, 139.0], [125.0, 152.0], [45.0, 152.0]], ('1Super Drink Pina', 0.8176183104515076)], [[[138.0, 137.0], [162.0, 137.0], [162.0, 149.0], [138.0, 149.0]], ('55.00', 0.9803224802017212)], [[[174.0, 136.0], [198.0, 136.0], [198.0, 148.0], [174.0, 148.0]], ('55.00', 0.9532210230827332)], [[[47.0, 150.0], [130.0, 150.0], [130.0, 160.0], [47.0, 160.0]], ('1 Bear Sott le Coro', 0.8119553923606873)], [[[139.0, 147.0], [162.0, 147.0], [162.0, 159.0], [139.0, 159.0]], ('12.00', 0.9661325216293335)], [[[175.0, 146.0], [198.0, 146.0], [198.0, 157.0], [175.0, 157.0]], ('12.00', 0.9710673093795776)], [[[44.0, 159.0], [116.0, 158.0], [116.0, 169.0], [45.0, 170.0]], ('1Stosk Sandaic', 0.7830877304077148)], [[[140.0, 156.0], [163.0, 156.0], [163.0, 168.0], [140.0, 168.0]], ('15.99', 0.9465866088867188)], [[[176.0, 152.0], [199.0, 155.0], [197.0, 168.0], [175.0, 165.0]], ('8655', 0.5478380918502808)], [[[67.0, 168.0], [95.0, 168.0], [95.0, 179.0], [67.0, 179.0]], ('MEDIUM', 0.8611454963684082)], [[[47.0, 179.0], [100.0, 179.0], [100.0, 189.0], [47.0, 189.0]], ('1Prosciutto', 0.9272751212120056)], [[[177.0, 172.0], [200.0, 175.0], [199.0, 187.0], [175.0, 184.0]], ('14.99', 0.971957802772522)], [[[48.0, 197.0], [101.0, 197.0], [101.0, 208.0], [48.0, 208.0]], ('1Prosclutto', 0.9459567666053772)], [[[66.0, 188.0], [124.0, 188.0], [124.0, 198.0], [66.0, 198.0]], ('sweat frles', 0.8931673169136047)], [[[141.0, 194.0], [165.0, 194.0], [165.0, 206.0], [141.0, 206.0]], ('14.99', 0.9536281824111938)], [[[177.0, 193.0], [201.0, 193.0], [201.0, 204.0], [177.0, 204.0]], ('14.99', 0.9907649755477905)], [[[46.0, 207.0], [104.0, 207.0], [104.0, 218.0], [46.0, 218.0]], ('1 Beef Burger', 0.8877480030059814)], [[[141.0, 204.0], [165.0, 204.0], [165.0, 216.0], [141.0, 216.0]], ('16.99', 0.918088436126709)], [[[177.0, 203.0], [201.0, 203.0], [201.0, 215.0], [177.0, 215.0]], ('16.99', 0.9668073654174805)], [[[47.0, 226.0], [126.0, 226.0], [126.0, 239.0], [47.0, 239.0]], ('1Spinech 5 Cheese', 0.9338789582252502)], [[[141.0, 223.0], [166.0, 223.0], [166.0, 235.0], [141.0, 235.0]], ('25.99', 0.978591799736023)], [[[177.0, 222.0], [202.0, 222.0], [202.0, 233.0], [177.0, 233.0]], ('25.99', 0.9528687596321106)], [[[47.0, 237.0], [75.0, 237.0], [75.0, 247.0], [47.0, 247.0]], ('1SIDE', 0.889445960521698)], [[[144.0, 234.0], [166.0, 234.0], [166.0, 245.0], [144.0, 245.0]], ('2.00', 0.9462971687316895)], [[[180.0, 232.0], [203.0, 232.0], [203.0, 243.0], [180.0, 243.0]], ('2.00', 0.9870786070823669)], [[[46.0, 257.0], [125.0, 255.0], [126.0, 266.0], [47.0, 268.0]], ('1 Super Drink Lie', 0.7893805503845215)], [[[36.0, 270.0], [42.0, 270.0], [42.0, 275.0], [36.0, 275.0]], ('1', 0.7518251538276672)], [[[45.0, 267.0], [126.0, 265.0], [127.0, 276.0], [46.0, 278.0]], ('1 Super Drnk Pina', 0.8326289057731628)], [[[45.0, 276.0], [134.0, 274.0], [135.0, 287.0], [46.0, 289.0]], ('1 Beer Bott le Corona', 0.8720954060554504)], [[[44.0, 287.0], [127.0, 284.0], [128.0, 298.0], [45.0, 302.0]], ('1 Supar Drink Pina', 0.872592031955719)], [[[44.0, 299.0], [127.0, 295.0], [128.0, 306.0], [45.0, 311.0]], ('1 Super Drink Mia', 0.8429921865463257)], [[[114.0, 314.0], [156.0, 314.0], [156.0, 328.0], [114.0, 328.0]], ('SUBTOTAL', 0.886846661567688)], [[[178.0, 314.0], [207.0, 314.0], [207.0, 325.0], [178.0, 325.0]], ('322.95', 0.9807683825492859)], [[[114.0, 327.0], [132.0, 327.0], [132.0, 339.0], [114.0, 339.0]], ('TAX', 0.9485406875610352)], [[[182.0, 324.0], [208.0, 324.0], [208.0, 336.0], [182.0, 336.0]], ('29.07', 0.9933303594589233)], [[[98.0, 340.0], [160.0, 337.0], [160.0, 348.0], [98.0, 351.0]], ('Service Charge', 0.9716669321060181)], [[[183.0, 335.0], [209.0, 335.0], [209.0, 347.0], [183.0, 347.0]], ('63.36', 0.9737294912338257)], [[[108.0, 361.0], [148.0, 361.0], [148.0, 380.0], [108.0, 380.0]], ('SLB-TOTAL', 0.9374371767044067)], [[[177.0, 356.0], [210.0, 353.0], [212.0, 377.0], [179.0, 380.0]], ('415.38', 0.9689023494720459)], [[[189.0, 377.0], [207.0, 377.0], [207.0, 388.0], [189.0, 388.0]], ('TIP', 0.8273468613624573)], [[[55.0, 393.0], [184.0, 386.0], [185.0, 400.0], [56.0, 406.0]], ('SERVICE CHARGE FAS BEEN ADDED', 0.8727375268936157)], [[[65.0, 403.0], [171.0, 398.0], [171.0, 412.0], [66.0, 417.0]], ('FEEL FREE TO ADJUST 1.', 0.8542152643203735)], [[[42.0, 414.0], [186.0, 409.0], [187.0, 423.0], [43.0, 428.0]], ('YOU HAVE BEEN SERVER BY:SUSTAVO', 0.8899417519569397)], [[[60.0, 426.0], [184.0, 422.0], [184.0, 433.0], [61.0, 437.0]], ('Mast Present Proof of ID for', 0.8745113015174866)], [[[86.0, 436.0], [174.0, 432.0], [174.0, 443.0], [86.0, 447.0]], ('Alcohalic Bever ages', 0.8937053680419922)]]
{"store_name": "LaBaguetteBar& Grill", "store_addr": "", "telephone": "", "date": "", "time": "", "subtotal": "322.95", "tax": "29.07", "total": "415.38", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "SuperDrinkLime", "item_value": "55.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SuperDrinkLime", "item_value": "55.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SuperDrinkPina", "item_value": "55.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Prosciutto", "item_value": "55.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Prosciutto", "item_value": "12.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BeefBurger", "item_value": "15.99", "item_quantity": "1"}, {"item_key": "", "item_name": "SIDE", "item_value": "14.99", "item_quantity": "1"}, {"item_key": "", "item_name": "SuperDrinkLime", "item_value": "14.99", "item_quantity": "1"}, {"item_key": "", "item_name": "SuperDrinkPina", "item_value": "16.99", "item_quantity": "1"}, {"item_key": "", "item_name": "SuperDrinkPina", "item_value": "25.99", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "2.00", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[530.0, 86.0], [781.0, 111.0], [774.0, 182.0], [523.0, 158.0]], ('0141', 0.9924004673957825)], [[[518.0, 158.0], [1142.0, 192.0], [1137.0, 273.0], [513.0, 240.0]], ('Server:CASSIANNE P', 0.9413513541221619)], [[[1568.0, 190.0], [1805.0, 190.0], [1805.0, 248.0], [1568.0, 248.0]], ('Rec:104', 0.9652611017227173)], [[[513.0, 230.0], [1246.0, 252.0], [1243.0, 334.0], [510.0, 312.0]], ('04/15/14 19:08,Swiped', 0.935736358165741)], [[[1303.0, 248.0], [1814.0, 238.0], [1816.0, 299.0], [1305.0, 310.0]], ('T71 Term5', 0.9396920800209045)], [[[511.0, 381.0], [969.0, 374.0], [971.0, 445.0], [512.0, 453.0]], ('Pappadeaux #30', 0.9667896628379822)], [[[512.0, 448.0], [946.0, 456.0], [945.0, 527.0], [511.0, 520.0]], ('11975 NW B1vd', 0.9324073195457458)], [[[504.0, 520.0], [1169.0, 524.0], [1168.0, 595.0], [504.0, 591.0]], ('Springdale,0H 45246', 0.9245163798332214)], [[[512.0, 594.0], [946.0, 606.0], [945.0, 667.0], [511.0, 656.0]], ('513)671-4473', 0.9559974670410156)], [[[498.0, 663.0], [1270.0, 673.0], [1269.0, 745.0], [497.0, 734.0]], ('MERCHANT #67071730196', 0.9720790386199951)], [[[492.0, 805.0], [811.0, 813.0], [809.0, 885.0], [490.0, 877.0]], ('CARD TYPE', 0.9617798924446106)], [[[1078.0, 823.0], [1537.0, 823.0], [1537.0, 881.0], [1078.0, 881.0]], ('ACCOUNT NUMBER', 0.9783857464790344)], [[[494.0, 887.0], [643.0, 887.0], [643.0, 962.0], [494.0, 962.0]], ('VISA', 0.9985581636428833)], [[[1074.0, 894.0], [1610.0, 894.0], [1610.0, 962.0], [1074.0, 962.0]], ('XXXXXXXXXXXX4648', 0.7957334518432617)], [[[501.0, 976.0], [1008.0, 976.0], [1008.0, 1034.0], [501.0, 1034.0]], ('Name:XIN HUANG', 0.9578140377998352)], [[[497.0, 1054.0], [1276.0, 1051.0], [1276.0, 1112.0], [497.0, 1115.0]], ('00 TRANSACTION APPROVED', 0.9346267580986023)], [[[501.0, 1136.0], [1276.0, 1132.0], [1276.0, 1193.0], [501.0, 1197.0]], ('AUTHORIZATION #000819', 0.9494460821151733)], [[[490.0, 1217.0], [1311.0, 1210.0], [1311.0, 1268.0], [491.0, 1275.0]], ('Reference: 0415020000141', 0.9731634259223938)], [[[486.0, 1285.0], [1456.0, 1268.0], [1457.0, 1326.0], [488.0, 1343.0]], ('TRANS TYPE: Credit Card SALE', 0.9437755942344666)], [[[1544.0, 1401.0], [1888.0, 1401.0], [1888.0, 1465.0], [1544.0, 1465.0]], ('30.79', 0.9929683804512024)], [[[466.0, 1422.0], [882.0, 1414.0], [884.0, 1482.0], [467.0, 1490.0]], ('CHECK:', 0.9638183116912842)], [[[1238.0, 1499.0], [1443.0, 1499.0], [1443.0, 1635.0], [1238.0, 1635.0]], ('$6', 0.9847304821014404)], [[[459.0, 1571.0], [737.0, 1571.0], [737.0, 1652.0], [459.0, 1652.0]], ('TIP:', 0.9535003900527954)], [[[1253.0, 1652.0], [1934.0, 1660.0], [1932.0, 1816.0], [1251.0, 1808.0]], ('$36.79', 0.9077029824256897)], [[[456.0, 1744.0], [880.0, 1744.0], [880.0, 1816.0], [456.0, 1816.0]], ('TOTAL:', 0.9806582927703857)], [[[410.0, 2295.0], [501.0, 2295.0], [501.0, 2370.0], [410.0, 2370.0]], ('X', 0.6511175632476807)], [[[371.0, 2578.0], [1921.0, 2532.0], [1924.0, 2610.0], [374.0, 2656.0]], ('CARDHOLDER WILL PAY CARD ISSUER ABOVE', 0.9489568471908569)], [[[357.0, 2683.0], [2018.0, 2631.0], [2021.0, 2712.0], [360.0, 2765.0]], ('AMOUNT PURSUANT TO CARDHOLDER AGREEMENT', 0.9532208442687988)]]
{"store_name": "Pappadeaux#30", "store_addr": "11975NWBlvd Springdale,OH45246", "telephone": "(513)671-4473", "date": "04/15/14", "time": "19:08,", "subtotal": "30.79", "tax": "", "total": "", "ignore": " ", "tips": "", "line_items": []}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[65.0, 40.0], [237.0, 38.0], [237.0, 52.0], [65.0, 54.0]], ('LEVANT Restaurant', 0.9774762392044067)], [[[124.0, 55.0], [177.0, 55.0], [177.0, 65.0], [124.0, 65.0]], ('Jabel Amman', 0.9636974930763245)], [[[133.0, 68.0], [167.0, 68.0], [167.0, 79.0], [133.0, 79.0]], ('Amman', 0.9796708226203918)], [[[126.0, 81.0], [174.0, 81.0], [174.0, 92.0], [126.0, 92.0]], ('064628948', 0.9727203845977783)], [[[121.0, 94.0], [180.0, 94.0], [180.0, 105.0], [121.0, 105.0]], ('VAT#127248', 0.9571396708488464)], [[[133.0, 107.0], [166.0, 107.0], [166.0, 122.0], [133.0, 122.0]], ('TABLE', 0.9939900636672974)], [[[111.0, 123.0], [189.0, 123.0], [189.0, 136.0], [111.0, 136.0]], ('07-02-2016 16:16', 0.9165644645690918)], [[[83.0, 136.0], [215.0, 135.0], [215.0, 149.0], [84.0, 150.0]], ('CHECK#170776TABLE#13', 0.9782086610794067)], [[[77.0, 165.0], [140.0, 165.0], [140.0, 176.0], [77.0, 176.0]], ('1WATER BOT', 0.9436115026473999)], [[[223.0, 163.0], [250.0, 163.0], [250.0, 176.0], [223.0, 176.0]], ('2.500', 0.9143847227096558)], [[[76.0, 178.0], [158.0, 178.0], [158.0, 191.0], [76.0, 191.0]], ('1 POMELO SALAD', 0.9290906190872192)], [[[224.0, 177.0], [249.0, 177.0], [249.0, 189.0], [224.0, 189.0]], ('5.750', 0.9830082058906555)], [[[75.0, 192.0], [188.0, 192.0], [188.0, 205.0], [75.0, 205.0]], ('1 FREEKEH BILFUKHARA', 0.9151094555854797)], [[[223.0, 188.0], [251.0, 191.0], [250.0, 205.0], [221.0, 202.0]], ('5.750', 0.9461066126823425)], [[[76.0, 207.0], [143.0, 207.0], [143.0, 218.0], [76.0, 218.0]], ('1MIXEDGRILL', 0.9741859436035156)], [[[218.0, 205.0], [250.0, 205.0], [250.0, 219.0], [218.0, 219.0]], ('11.500', 0.9402427673339844)], [[[74.0, 221.0], [170.0, 221.0], [170.0, 234.0], [74.0, 234.0]], ('1.CHEESE KUNAFEH', 0.92073655128479)], [[[224.0, 220.0], [251.0, 220.0], [251.0, 233.0], [224.0, 233.0]], ('4.900', 0.9865878820419312)], [[[83.0, 235.0], [138.0, 233.0], [138.0, 247.0], [84.0, 249.0]], ('SUB-TOTAL', 0.9856044054031372)], [[[218.0, 234.0], [251.0, 234.0], [251.0, 248.0], [218.0, 248.0]], ('30.400', 0.9574313163757324)], [[[85.0, 249.0], [127.0, 249.0], [127.0, 263.0], [85.0, 263.0]], ('TAX16%', 0.9675076603889465)], [[[224.0, 250.0], [251.0, 250.0], [251.0, 263.0], [224.0, 263.0]], ('4.864', 0.9782819747924805)], [[[66.0, 280.0], [236.0, 282.0], [236.0, 299.0], [66.0, 297.0]], ('TOTALJD35.264', 0.9892573952674866)], [[[90.0, 311.0], [211.0, 313.0], [211.0, 328.0], [90.0, 325.0]], ('LEVANT BEVARAGE2.900', 0.948491096496582)], [[[98.0, 326.0], [202.0, 327.0], [202.0, 342.0], [98.0, 340.0]], ('LEVANT FOOD=32.364', 0.9177535176277161)], [[[104.0, 365.0], [197.0, 366.0], [197.0, 380.0], [104.0, 379.0]], ('Clerk#5Customer#2', 0.9110449552536011)], [[[98.0, 401.0], [202.0, 403.0], [201.0, 417.0], [98.0, 415.0]], ('You Have been served by', 0.9291188716888428)]]
{"store_name": "LEVANTRestaurant", "store_addr": "Amman", "telephone": "064628948", "date": "07-02-2016", "time": "16:16", "subtotal": "30.400", "tax": "4.864", "total": "35.264", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "CHEESEKUNAFEH", "item_value": "2.500", "item_quantity": "1"}, {"item_key": "", "item_name": "MIXEDGRILL", "item_value": "5.750", "item_quantity": "1"}, {"item_key": "", "item_name": "FREEKEHBILFUKHARA", "item_value": "5.750", "item_quantity": "1"}, {"item_key": "", "item_name": "POMELOSALAD", "item_value": "11.500", "item_quantity": "1"}, {"item_key": "", "item_name": "WATERBOT", "item_value": "4.900", "item_quantity": "1"}]}