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GHOFRANEE
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Dataset_ocr_to_json

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train · 2.14k rows

instruction stringclasses 1 value	input stringlengths 586 18k	output stringlengths 161 5.19k
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	[[[[52.0, 0.0], [190.0, 3.0], [189.0, 20.0], [52.0, 15.0]], ('15946 Redsond Way.Ste109', 0.8994550704956055)], [[[71.0, 13.0], [174.0, 15.0], [174.0, 31.0], [70.0, 29.0]], ('RedmondWA98052', 0.9123836755752563)], [[[88.0, 26.0], [157.0, 28.0], [157.0, 43.0], [88.0, 41.0]], ('425-881-6829', 0.9712996482849121)], [[[85.0, 52.0], [152.0, 54.0], [151.0, 70.0], [85.0, 68.0]], ('TM1188', 0.9940104484558105)], [[[3.0, 77.0], [76.0, 80.0], [76.0, 94.0], [3.0, 91.0]], ('Host:Cash1', 0.9348297119140625)], [[[4.0, 90.0], [45.0, 92.0], [44.0, 107.0], [3.0, 104.0]], ('TM1188', 0.9200953841209412)], [[[182.0, 81.0], [239.0, 81.0], [239.0, 95.0], [182.0, 95.0]], ('01/28/2014', 0.9964560270309448)], [[[196.0, 94.0], [239.0, 92.0], [240.0, 106.0], [197.0, 109.0]], ('5:29PM', 0.907844066619873)], [[[2.0, 104.0], [65.0, 107.0], [64.0, 121.0], [2.0, 119.0]], ('REPRINT#1', 0.9318637847900391)], [[[208.0, 106.0], [240.0, 106.0], [240.0, 120.0], [208.0, 120.0]], ('10188', 0.9942730665206909)], [[[1.0, 133.0], [53.0, 133.0], [53.0, 146.0], [1.0, 146.0]], ('BUR CHIX', 0.957392692565918)], [[[2.0, 146.0], [112.0, 146.0], [112.0, 160.0], [2.0, 160.0]], ('BURR GUAC 21.19', 0.9260532259941101)], [[[216.0, 146.0], [243.0, 146.0], [243.0, 160.0], [216.0, 160.0]], ('2.38', 0.9956368207931519)], [[[1.0, 161.0], [53.0, 161.0], [53.0, 175.0], [1.0, 175.0]], ('BUR PORK', 0.9458414316177368)], [[[217.0, 158.0], [243.0, 158.0], [243.0, 174.0], [217.0, 174.0]], ('699', 0.7120533585548401)], [[[1.0, 175.0], [146.0, 175.0], [146.0, 188.0], [1.0, 188.0]], ('DRK BTL SODA 204 2.29)', 0.8888740539550781)], [[[217.0, 170.0], [245.0, 172.0], [243.0, 188.0], [215.0, 185.0]], ('9.16', 0.9863331317901611)], [[[0.0, 203.0], [50.0, 203.0], [50.0, 217.0], [0.0, 217.0]], ('Subtotal', 0.9775373935699463)], [[[212.0, 198.0], [246.0, 201.0], [245.0, 215.0], [211.0, 213.0]], ('24.42', 0.9946337938308716)], [[[1.0, 216.0], [24.0, 219.0], [22.0, 235.0], [0.0, 232.0]], ('Tax', 0.9937586784362793)], [[[217.0, 214.0], [245.0, 214.0], [245.0, 229.0], [217.0, 229.0]], ('2.32', 0.9891974925994873)]]	{"store_name": "", "store_addr": "Redmond,WA98052 15946RedmondWay,Ste109", "telephone": "425-881-6829", "date": "01/28/2014", "time": "5:29PM", "subtotal": "24.42", "tax": "2.32", "total": "", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "DRKBTLSODA20", "item_value": "6.29", "item_quantity": "1"}, {"item_key": "", "item_name": "BURPORK", "item_value": "2.38", "item_quantity": "1"}, {"item_key": "", "item_name": "BURRGUAC", "item_value": "6.59", "item_quantity": "1"}, {"item_key": "", "item_name": "BURCHIX", "item_value": "9.16", "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, 4.0], [178.0, 2.0], [178.0, 16.0], [59.0, 18.0]], ('CBLUEH-RESTAURANTS LTD', 0.872051477432251)], [[[43.0, 16.0], [189.0, 13.0], [189.0, 27.0], [43.0, 30.0]], ('P.0.B0x50203.3602 Le50s', 0.7695039510726929)], [[[94.0, 26.0], [139.0, 24.0], [140.0, 38.0], [95.0, 40.0]], ('Epstion', 0.867732584476471)], [[[75.0, 37.0], [158.0, 36.0], [159.0, 50.0], [75.0, 51.0]], ('Limassol Marine', 0.8710401654243469)], [[[78.0, 50.0], [158.0, 47.0], [159.0, 61.0], [78.0, 64.0]], ('TEL25-737499', 0.9877945780754089)], [[[2.0, 75.0], [87.0, 73.0], [88.0, 86.0], [2.0, 89.0]], ('Server:Kirinis', 0.9498215317726135)], [[[178.0, 71.0], [237.0, 71.0], [237.0, 85.0], [178.0, 85.0]], ('27/12/2015', 0.9973031878471375)], [[[2.0, 88.0], [83.0, 88.0], [83.0, 101.0], [2.0, 101.0]], ('Cashier:Tonta', 0.8755919337272644)], [[[1.0, 102.0], [66.0, 99.0], [66.0, 113.0], [1.0, 116.0]], ('Table 204/1', 0.9366872906684875)], [[[195.0, 97.0], [238.0, 97.0], [238.0, 111.0], [195.0, 111.0]], ('3:51PM', 0.8386567234992981)], [[[2.0, 116.0], [55.0, 113.0], [55.0, 128.0], [2.0, 131.0]], ('Guests:4', 0.9513126015663147)], [[[207.0, 111.0], [239.0, 111.0], [239.0, 126.0], [207.0, 126.0]], ('10322', 0.862425684928894)], [[[3.0, 143.0], [158.0, 137.0], [159.0, 152.0], [3.0, 157.0]], ('Big Bt1 Minera 1L 2 83.90)', 0.8649989366531372)], [[[212.0, 138.0], [240.0, 138.0], [240.0, 153.0], [212.0, 153.0]], ('7.80', 0.9789234399795532)], [[[5.0, 157.0], [101.0, 155.0], [101.0, 169.0], [5.0, 171.0]], ('Goat Cheese Salad', 0.9569967985153198)], [[[208.0, 149.0], [241.0, 152.0], [239.0, 167.0], [206.0, 164.0]], ('11.50', 0.9889620542526245)], [[[8.0, 172.0], [54.0, 172.0], [54.0, 183.0], [8.0, 183.0]], ('Pranns E', 0.8538098335266113)], [[[209.0, 166.0], [241.0, 166.0], [241.0, 181.0], [209.0, 181.0]], ('14.90', 0.995294451713562)], [[[9.0, 184.0], [111.0, 184.0], [111.0, 197.0], [9.0, 197.0]], ('La Baune Chardonnay', 0.9504924416542053)], [[[208.0, 180.0], [241.0, 180.0], [241.0, 195.0], [208.0, 195.0]], ('21.00', 0.9913216829299927)], [[[10.0, 197.0], [83.0, 195.0], [84.0, 209.0], [10.0, 211.0]], ('Cyprus Coffee', 0.9590604305267334)], [[[212.0, 194.0], [241.0, 194.0], [241.0, 209.0], [212.0, 209.0]], ('1.90', 0.99234539270401)], [[[12.0, 209.0], [106.0, 207.0], [106.0, 221.0], [12.0, 223.0]], ('Espresso22.90)', 0.960414469242096)], [[[213.0, 208.0], [241.0, 208.0], [241.0, 223.0], [213.0, 223.0]], ('5.80', 0.9896137118339539)], [[[14.0, 223.0], [75.0, 223.0], [75.0, 234.0], [14.0, 234.0]], ('Mfllefeuflle', 0.8792231678962708)], [[[212.0, 221.0], [241.0, 221.0], [241.0, 237.0], [212.0, 237.0]], ('5.50', 0.9835814833641052)], [[[13.0, 235.0], [148.0, 235.0], [148.0, 248.0], [13.0, 248.0]], ('Tuna Lo1n SaTad 2 13.50)', 0.8971807956695557)], [[[205.0, 234.0], [242.0, 236.0], [240.0, 251.0], [204.0, 249.0]], ('27.00', 0.9879581332206726)], [[[9.0, 246.0], [74.0, 248.0], [74.0, 262.0], [9.0, 260.0]], ('Half Chicken', 0.9441847205162048)], [[[208.0, 250.0], [241.0, 250.0], [241.0, 265.0], [208.0, 265.0]], ('16.90', 0.9899743795394897)], [[[6.0, 271.0], [51.0, 273.0], [51.0, 289.0], [6.0, 286.0]], ('Subtotal', 0.9599480628967285)], [[[6.0, 287.0], [27.0, 287.0], [27.0, 301.0], [6.0, 301.0]], ('VAT', 0.9884555339813232)], [[[202.0, 278.0], [240.0, 278.0], [240.0, 293.0], [202.0, 293.0]], ('103.03', 0.9901728630065918)], [[[212.0, 291.0], [241.0, 294.0], [239.0, 310.0], [210.0, 307.0]], ('9.27', 0.994055449962616)], [[[2.0, 314.0], [32.0, 314.0], [32.0, 329.0], [2.0, 329.0]], ('Total', 0.9881688356399536)], [[[202.0, 319.0], [240.0, 319.0], [240.0, 338.0], [202.0, 338.0]], ('112.30', 0.9203951358795166)], [[[0.0, 341.0], [114.0, 347.0], [114.0, 364.0], [0.0, 358.0]], ('Balance Du', 0.9531000852584839)], [[[143.0, 346.0], [238.0, 350.0], [238.0, 367.0], [143.0, 363.0]], ('C112.30', 0.9886748194694519)], [[[0.0, 370.0], [61.0, 375.0], [60.0, 390.0], [0.0, 385.0]], ('VAT.Detail:', 0.8538925051689148)], [[[0.0, 388.0], [117.0, 392.0], [117.0, 406.0], [0.0, 402.0]], ('9.00%103.039.27', 0.934148907661438)]]	{"store_name": "CBLUEMRESTAIRANTSLTD", "store_addr": "LimassolMarine", "telephone": "25-737499", "date": "27/12/2015", "time": "3:51PM", "subtotal": "103.03 103.03:", "tax": "9.27 9.27", "total": "112.30", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "BigBtlMineral1L", "item_value": "7.80", "item_quantity": "1"}, {"item_key": "", "item_name": "GoatCheeseSalad", "item_value": "11.50", "item_quantity": "1"}, {"item_key": "", "item_name": "PrawnsE", "item_value": "14.90", "item_quantity": "1"}, {"item_key": "", "item_name": "LaBauneChardonnay", "item_value": "21.00", "item_quantity": "1"}, {"item_key": "", "item_name": "CyprusCoffee", "item_value": "1.90", "item_quantity": "1"}, {"item_key": "", "item_name": "Espresso", "item_value": "5.80", "item_quantity": "1"}, {"item_key": "", "item_name": "Millefeuille", "item_value": "5.50", "item_quantity": "1"}, {"item_key": "", "item_name": "TunaLoinSalad", "item_value": "27.00", "item_quantity": "1"}, {"item_key": "", "item_name": "HalfChicken", "item_value": "16.90", "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	[[[[109.0, 9.0], [190.0, 12.0], [190.0, 26.0], [108.0, 23.0]], ('MACE RESTAURANT', 0.9425080418586731)], [[[114.0, 25.0], [189.0, 28.0], [189.0, 42.0], [113.0, 39.0]], ('LIVESPOOL ROAD', 0.9207547307014465)], [[[102.0, 39.0], [200.0, 43.0], [199.0, 58.0], [102.0, 54.0]], ('MANCHESTER3 4AQ', 0.8406270742416382)], [[[102.0, 55.0], [193.0, 58.0], [193.0, 72.0], [102.0, 69.0]], ('TEL 01618324883', 0.9416157603263855)], [[[81.0, 78.0], [126.0, 82.0], [125.0, 96.0], [80.0, 92.0]], ('Receipt:', 0.9716588258743286)], [[[81.0, 94.0], [115.0, 94.0], [115.0, 108.0], [81.0, 108.0]], ('Date:', 0.9625612497329712)], [[[133.0, 95.0], [237.0, 99.0], [237.0, 113.0], [132.0, 109.0]], ('01-0ct-2016 20:36:42', 0.9199559092521667)], [[[81.0, 108.0], [192.0, 112.0], [192.0, 126.0], [81.0, 122.0]], ('TerminalCV100PH-CLT', 0.9388018250465393)], [[[81.0, 122.0], [119.0, 125.0], [118.0, 139.0], [80.0, 136.0]], ('Table:', 0.9367895722389221)], [[[131.0, 124.0], [176.0, 127.0], [175.0, 141.0], [130.0, 138.0]], ('Table 25', 0.8431857824325562)], [[[81.0, 137.0], [176.0, 142.0], [175.0, 156.0], [80.0, 151.0]], ('Served by:Euployee', 0.9014788866043091)], [[[80.0, 158.0], [106.0, 161.0], [105.0, 176.0], [78.0, 173.0]], ('Iten', 0.8670945167541504)], [[[181.0, 164.0], [210.0, 164.0], [210.0, 178.0], [181.0, 178.0]], ('Price', 0.9947651028633118)], [[[181.0, 191.0], [209.0, 191.0], [209.0, 206.0], [181.0, 206.0]], ('9.75', 0.9878455400466919)], [[[79.0, 202.0], [138.0, 205.0], [137.0, 219.0], [78.0, 216.0]], ('Onion Bhaji', 0.8759043216705322)], [[[178.0, 204.0], [210.0, 206.0], [209.0, 220.0], [177.0, 218.0]], ('2.75', 0.9796892404556274)], [[[79.0, 216.0], [162.0, 219.0], [162.0, 233.0], [79.0, 230.0]], ('Chk Tikka Masala', 0.8806647658348083)], [[[179.0, 220.0], [209.0, 220.0], [209.0, 234.0], [179.0, 234.0]], ('9.45', 0.9760245084762573)], [[[79.0, 232.0], [118.0, 232.0], [118.0, 246.0], [79.0, 246.0]], ('Saag Lb', 0.9382602572441101)], [[[179.0, 232.0], [209.0, 234.0], [208.0, 249.0], [177.0, 247.0]], ('9.45', 0.9802006483078003)], [[[78.0, 244.0], [133.0, 246.0], [132.0, 260.0], [78.0, 258.0]], ('Pilau Rice', 0.9024575352668762)], [[[178.0, 246.0], [209.0, 248.0], [208.0, 264.0], [176.0, 261.0]], ('2.45', 0.9709818959236145)], [[[77.0, 256.0], [108.0, 260.0], [106.0, 275.0], [75.0, 271.0]], ('Chips', 0.9834488034248352)], [[[179.0, 261.0], [208.0, 261.0], [208.0, 275.0], [179.0, 275.0]], ('2.60', 0.964956521987915)], [[[75.0, 271.0], [146.0, 273.0], [146.0, 286.0], [75.0, 284.0]], ('Mushroom Rice', 0.9607995748519897)], [[[179.0, 274.0], [208.0, 274.0], [208.0, 288.0], [179.0, 288.0]], ('2.65', 0.9742166996002197)], [[[75.0, 285.0], [131.0, 287.0], [130.0, 300.0], [75.0, 298.0]], ('Keena Maan', 0.8310409784317017)], [[[179.0, 288.0], [208.0, 288.0], [208.0, 302.0], [179.0, 302.0]], ('3.20', 0.9895687699317932)], [[[72.0, 299.0], [168.0, 302.0], [168.0, 317.0], [72.0, 313.0]], ('/ Coriander Kaa', 0.8670143485069275)], [[[179.0, 302.0], [208.0, 302.0], [208.0, 316.0], [179.0, 316.0]], ('2.75', 0.9716194868087769)], [[[70.0, 314.0], [124.0, 317.0], [123.0, 331.0], [70.0, 328.0]], ('Diet Coke', 0.9334230422973633)], [[[175.0, 317.0], [209.0, 317.0], [209.0, 331.0], [175.0, 331.0]], ('10.00', 0.9889911413192749)], [[[70.0, 331.0], [118.0, 331.0], [118.0, 346.0], [70.0, 346.0]], ('Papadums', 0.9918925166130066)], [[[181.0, 331.0], [211.0, 331.0], [211.0, 347.0], [181.0, 347.0]], ('22.00', 0.8869892954826355)], [[[69.0, 345.0], [134.0, 348.0], [133.0, 363.0], [68.0, 360.0]], ('Pickle Tray', 0.9195358753204346)], [[[181.0, 348.0], [212.0, 348.0], [212.0, 362.0], [181.0, 362.0]], ('1.50', 0.9899192452430725)], [[[68.0, 365.0], [123.0, 365.0], [123.0, 379.0], [68.0, 379.0]], ('Diet Coke', 0.9749693274497986)], [[[181.0, 364.0], [213.0, 364.0], [213.0, 378.0], [181.0, 378.0]], ('5.00', 0.9930064678192139)], [[[66.0, 399.0], [156.0, 398.0], [157.0, 413.0], [66.0, 414.0]], ('Items count18', 0.9767701029777527)], [[[63.0, 417.0], [99.0, 417.0], [99.0, 445.0], [63.0, 445.0]], ('Total', 0.9965741038322449)], [[[170.0, 416.0], [213.0, 416.0], [213.0, 446.0], [170.0, 446.0]], ('63.55', 0.9721914529800415)]]	{"store_name": "MACERESTAURAT", "store_addr": "LIVERPOOLROAD MANCHESTER,M34AQ", "telephone": "01618324883", "date": "01-Oct-2016", "time": "20:36:42", "subtotal": "", "tax": "", "total": "\u00a363.55", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "TandooriMeIa", "item_value": "\u00a39.75", "item_quantity": "1"}, {"item_key": "", "item_name": "Onion Shaji", "item_value": "\u00a32.75", "item_quantity": "1"}, {"item_key": "", "item_name": "ChkTikkaMasala", "item_value": "\u00a39.45", "item_quantity": "1"}, {"item_key": "", "item_name": "SaagLb", "item_value": "\u00a39.45", "item_quantity": "1"}, {"item_key": "", "item_name": "PilauRice", "item_value": "\u00a32.45", "item_quantity": "1"}, {"item_key": "", "item_name": "Chips", "item_value": "\u00a32.60", "item_quantity": "1"}, {"item_key": "", "item_name": "MushroomRice", "item_value": "\u00a32.65", "item_quantity": "1"}, {"item_key": "", "item_name": "KeenaNaan", "item_value": "\u00a36.20", "item_quantity": "1"}, {"item_key": "", "item_name": "G/CorianderNaa", "item_value": "\u00a32.75", "item_quantity": "1"}, {"item_key": "", "item_name": "DietCoke", "item_value": "\u00a310.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Papadums", "item_value": "\u00a32.00", "item_quantity": "1"}, {"item_key": "", "item_name": "PickleTray", "item_value": "\u00a31.50", "item_quantity": "1"}, {"item_key": "", "item_name": "Dietcoke", "item_value": "\u00a35.00", "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	[[[[136.0, 169.0], [490.0, 156.0], [491.0, 196.0], [137.0, 209.0]], ('CLEANING SUPPLIES', 0.9797935485839844)], [[[786.0, 192.0], [813.0, 192.0], [813.0, 232.0], [786.0, 232.0]], ('T', 0.9703523516654968)], [[[888.0, 186.0], [1006.0, 181.0], [1008.0, 229.0], [889.0, 234.0]], ('$9.99', 0.9813915491104126)], [[[443.0, 197.0], [596.0, 193.0], [597.0, 235.0], [444.0, 239.0]], ('GAIN 2X', 0.9333528280258179)], [[[136.0, 207.0], [325.0, 203.0], [326.0, 243.0], [137.0, 247.0]], ('003080612', 0.9987938404083252)], [[[138.0, 283.0], [305.0, 283.0], [305.0, 318.0], [138.0, 318.0]], ('CLOTHING', 0.9939068555831909)], [[[782.0, 308.0], [813.0, 308.0], [813.0, 353.0], [782.0, 353.0]], ('T', 0.9909743666648865)], [[[888.0, 305.0], [1007.0, 305.0], [1007.0, 353.0], [888.0, 353.0]], ('$7.49', 0.9083443880081177)], [[[140.0, 323.0], [326.0, 323.0], [326.0, 358.0], [140.0, 358.0]], ('098090058', 0.9987024664878845)], [[[446.0, 315.0], [659.0, 310.0], [660.0, 351.0], [447.0, 357.0]], ('KIWI SUPER', 0.9702030420303345)], [[[140.0, 398.0], [288.0, 398.0], [288.0, 438.0], [140.0, 438.0]], ('GROCERY', 0.9977664351463318)], [[[450.0, 433.0], [641.0, 433.0], [641.0, 473.0], [450.0, 473.0]], ('PETER PAN', 0.9549353122711182)], [[[760.0, 432.0], [811.0, 432.0], [811.0, 473.0], [760.0, 473.0]], ('FN', 0.9948996901512146)], [[[888.0, 428.0], [1006.0, 428.0], [1006.0, 470.0], [888.0, 470.0]], ('$2.42', 0.991658091545105)], [[[141.0, 442.0], [328.0, 438.0], [329.0, 475.0], [142.0, 479.0]], ('212020540', 0.9984147548675537)], [[[145.0, 478.0], [329.0, 478.0], [329.0, 513.0], [145.0, 513.0]], ('212080513', 0.9987567067146301)], [[[450.0, 475.0], [680.0, 471.0], [680.0, 511.0], [450.0, 515.0]], ('MP DRESSING', 0.95603346824646)], [[[760.0, 470.0], [811.0, 470.0], [811.0, 512.0], [760.0, 512.0]], ('FN', 0.9947994947433472)], [[[886.0, 469.0], [1001.0, 465.0], [1003.0, 506.0], [887.0, 510.0]], ('$1.77', 0.9952082633972168)], [[[450.0, 512.0], [619.0, 512.0], [619.0, 552.0], [450.0, 552.0]], ('MP SALSA', 0.9433736801147461)], [[[760.0, 508.0], [811.0, 508.0], [811.0, 552.0], [760.0, 552.0]], ('FN', 0.9931478500366211)], [[[888.0, 507.0], [1006.0, 507.0], [1006.0, 548.0], [888.0, 548.0]], ('$1.89', 0.9953773617744446)], [[[145.0, 517.0], [329.0, 517.0], [329.0, 552.0], [145.0, 552.0]], ('212261975', 0.9986845850944519)], [[[450.0, 552.0], [677.0, 552.0], [677.0, 587.0], [450.0, 587.0]], ('CNTRY CROCK', 0.9535452127456665)], [[[760.0, 550.0], [808.0, 550.0], [808.0, 587.0], [760.0, 587.0]], ('FN', 0.9939189553260803)], [[[888.0, 545.0], [1004.0, 545.0], [1004.0, 588.0], [888.0, 588.0]], ('$2.19', 0.9960834383964539)], [[[147.0, 555.0], [329.0, 555.0], [329.0, 590.0], [147.0, 590.0]], ('284130077', 0.998600959777832)], [[[146.0, 628.0], [619.0, 625.0], [619.0, 665.0], [147.0, 668.0]], ('HEALTH-BEAUTY-COSMETICS', 0.9912371635437012)], [[[148.0, 670.0], [331.0, 670.0], [331.0, 703.0], [148.0, 703.0]], ('049002100', 0.9990891218185425)], [[[452.0, 668.0], [701.0, 668.0], [701.0, 703.0], [452.0, 703.0]], ('IRISH SPRING', 0.9677319526672363)], [[[782.0, 665.0], [811.0, 665.0], [811.0, 702.0], [782.0, 702.0]], ('T', 0.8147238492965698)], [[[886.0, 662.0], [1006.0, 662.0], [1006.0, 703.0], [886.0, 703.0]], ('$3.50', 0.9944179654121399)], [[[450.0, 705.0], [792.0, 703.0], [793.0, 738.0], [450.0, 740.0]], ('Saved $1.09 off', 0.9196836948394775)], [[[776.0, 703.0], [895.0, 703.0], [895.0, 740.0], [776.0, 740.0]], ('$4.59', 0.993984580039978)], [[[145.0, 743.0], [327.0, 743.0], [327.0, 778.0], [145.0, 778.0]], ('049060134', 0.9982525706291199)], [[[448.0, 742.0], [552.0, 742.0], [552.0, 778.0], [448.0, 778.0]], ('FOAMY', 0.996984601020813)], [[[782.0, 740.0], [810.0, 740.0], [810.0, 778.0], [782.0, 778.0]], ('T', 0.9622554183006287)], [[[887.0, 739.0], [1006.0, 733.0], [1008.0, 776.0], [890.0, 782.0]], ('$1.77', 0.9969892501831055)], [[[141.0, 780.0], [326.0, 780.0], [326.0, 815.0], [141.0, 815.0]], ('049090365', 0.9985008239746094)], [[[445.0, 778.0], [595.0, 778.0], [595.0, 818.0], [445.0, 818.0]], ('COLGATE', 0.9977920651435852)], [[[782.0, 773.0], [818.0, 780.0], [810.0, 822.0], [774.0, 815.0]], ('N', 0.9853057265281677)], [[[888.0, 779.0], [1008.0, 775.0], [1010.0, 816.0], [889.0, 820.0]], ('$3.39', 0.9976426959037781)], [[[130.0, 852.0], [218.0, 852.0], [218.0, 890.0], [130.0, 890.0]], ('HOME', 0.9989665150642395)], [[[126.0, 890.0], [315.0, 890.0], [315.0, 925.0], [126.0, 925.0]], ('253030134', 0.9988105297088623)], [[[438.0, 888.0], [568.0, 888.0], [568.0, 925.0], [438.0, 925.0]], ('BOUNTY', 0.9970436692237854)], [[[776.0, 888.0], [810.0, 884.0], [816.0, 927.0], [782.0, 931.0]], ('T', 0.9806564450263977)], [[[891.0, 889.0], [1016.0, 883.0], [1018.0, 926.0], [893.0, 932.0]], ('$5.49', 0.9686764478683472)], [[[118.0, 923.0], [309.0, 927.0], [308.0, 967.0], [117.0, 963.0]], ('253060122', 0.9986914396286011)], [[[436.0, 928.0], [651.0, 928.0], [651.0, 963.0], [436.0, 963.0]], ('COTTONELLE', 0.9966379404067993)], [[[779.0, 927.0], [815.0, 927.0], [815.0, 967.0], [779.0, 967.0]], ('N', 0.9956523776054382)], [[[898.0, 928.0], [1021.0, 928.0], [1021.0, 965.0], [898.0, 965.0]], ('$6.74', 0.9927404522895813)], [[[99.0, 997.0], [196.0, 997.0], [196.0, 1040.0], [99.0, 1040.0]], ('MISC', 0.9976056814193726)], [[[92.0, 1039.0], [289.0, 1033.0], [290.0, 1068.0], [93.0, 1074.0]], ('083171643', 0.9982970356941223)], [[[418.0, 1033.0], [646.0, 1033.0], [646.0, 1067.0], [418.0, 1067.0]], ('DOG TREATS', 0.9699240922927856)], [[[781.0, 1030.0], [816.0, 1030.0], [816.0, 1072.0], [781.0, 1072.0]], ('T', 0.9957488775253296)], [[[903.0, 1032.0], [1035.0, 1032.0], [1035.0, 1073.0], [903.0, 1073.0]], ('$2.84', 0.9956812858581543)], [[[83.0, 1074.0], [279.0, 1070.0], [280.0, 1110.0], [84.0, 1114.0]], ('790011899', 0.9983198642730713)], [[[414.0, 1070.0], [644.0, 1070.0], [644.0, 1105.0], [414.0, 1105.0]], ('GIFT CARDS', 0.9587710499763489)], [[[784.0, 1072.0], [820.0, 1072.0], [820.0, 1107.0], [784.0, 1107.0]], ('N', 0.9932746887207031)], [[[880.0, 1070.0], [1040.0, 1074.0], [1039.0, 1114.0], [879.0, 1110.0]], ('$25.00', 0.997214138507843)], [[[407.0, 1110.0], [861.0, 1112.0], [861.0, 1147.0], [407.0, 1145.0]], ('041-211-888-495-763', 0.9897059202194214)], [[[404.0, 1152.0], [651.0, 1152.0], [651.0, 1192.0], [404.0, 1192.0]], ('NEWBAL', 0.9913126826286316)], [[[631.0, 1152.0], [791.0, 1152.0], [791.0, 1192.0], [631.0, 1192.0]], ('$25.00', 0.99516361951828)], [[[72.0, 1195.0], [269.0, 1195.0], [269.0, 1235.0], [72.0, 1235.0]], ('790011899', 0.9977648258209229)], [[[407.0, 1197.0], [641.0, 1197.0], [641.0, 1232.0], [407.0, 1232.0]], ('GIFT CARDS', 0.9208572506904602)], [[[789.0, 1202.0], [818.0, 1202.0], [818.0, 1235.0], [789.0, 1235.0]], ('N', 0.9966384172439575)], [[[890.0, 1198.0], [1050.0, 1198.0], [1050.0, 1240.0], [890.0, 1240.0]], ('$10.00', 0.9973832964897156)], [[[408.0, 1237.0], [864.0, 1240.0], [864.0, 1280.0], [407.0, 1277.0]], ('041-211-888-495-771', 0.992831289768219)], [[[408.0, 1278.0], [796.0, 1284.0], [796.0, 1329.0], [407.0, 1323.0]], ('NEWBAL$10.00', 0.9591529965400696)], [[[628.0, 1365.0], [818.0, 1369.0], [818.0, 1410.0], [627.0, 1406.0]], ('SUBTOTAL', 0.9968070983886719)], [[[896.0, 1367.0], [1054.0, 1363.0], [1055.0, 1406.0], [897.0, 1410.0]], ('$84.48', 0.9959340691566467)], [[[278.0, 1407.0], [830.0, 1410.0], [830.0, 1455.0], [278.0, 1452.0]], ('Your REDcard Savings 5%', 0.9571892023086548)], [[[920.0, 1410.0], [1077.0, 1410.0], [1077.0, 1457.0], [920.0, 1457.0]], ('$2.47-', 0.976344645023346)], [[[126.0, 1448.0], [830.0, 1455.0], [830.0, 1500.0], [126.0, 1493.0]], ('T=PA TAX8.0000% 0n $29.53', 0.9153826236724854)], [[[922.0, 1455.0], [1057.0, 1455.0], [1057.0, 1502.0], [922.0, 1502.0]], ('$2.36', 0.9963148832321167)], [[[704.0, 1498.0], [830.0, 1498.0], [830.0, 1547.0], [704.0, 1547.0]], ('TOTAL', 0.9985982179641724)], [[[903.0, 1503.0], [1055.0, 1503.0], [1055.0, 1545.0], [903.0, 1545.0]], ('$84.37', 0.99725741147995)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "", "time": "", "subtotal": "$84.48 $84.37", "tax": "", "total": "", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "GAIN2X", "item_value": "$9.99", "item_quantity": "1"}, {"item_key": "", "item_name": "KIWISUPER", "item_value": "$7.49", "item_quantity": "1"}, {"item_key": "", "item_name": "PETERPAN", "item_value": "$2.42", "item_quantity": "1"}, {"item_key": "", "item_name": "MPDRESSING", "item_value": "$1.77", "item_quantity": "1"}, {"item_key": "", "item_name": "MPSALSA", "item_value": "$1.89", "item_quantity": "1"}, {"item_key": "", "item_name": "CNTRYCROCK", "item_value": "$2.19", "item_quantity": "1"}, {"item_key": "", "item_name": "IRISHSPRING", "item_value": "$3.50", "item_quantity": "1"}, {"item_key": "", "item_name": "FOAMY", "item_value": "$1.77", "item_quantity": "1"}, {"item_key": "", "item_name": "COLGATE", "item_value": "$3.39", "item_quantity": "1"}, {"item_key": "", "item_name": "BOUNTY", "item_value": "$5.49", "item_quantity": "1"}, {"item_key": "", "item_name": "COTTONELLE", "item_value": "$6.74", "item_quantity": "1"}, {"item_key": "", "item_name": "DOGTREATS", "item_value": "$2.84", "item_quantity": "1"}, {"item_key": "", "item_name": "GIFTCARDS", "item_value": "$25.00", "item_quantity": "1"}, {"item_key": "", "item_name": "GIFTCARDS", "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	[[[[78.0, 7.0], [161.0, 4.0], [161.0, 17.0], [78.0, 20.0]], ('otentursstr.12', 0.8691515922546387)], [[[73.0, 17.0], [133.0, 14.0], [134.0, 27.0], [74.0, 31.0]], ('1010Wien', 0.8613352179527283)], [[[72.0, 29.0], [172.0, 21.0], [173.0, 36.0], [73.0, 44.0]], ('TEL01/5122192', 0.9606590867042542)], [[[71.0, 42.0], [148.0, 35.0], [150.0, 49.0], [72.0, 56.0]], ('ATU:61265623', 0.9373202919960022)], [[[68.0, 69.0], [98.0, 66.0], [99.0, 80.0], [69.0, 82.0]], ('KL.7', 0.8635491728782654)], [[[68.0, 81.0], [140.0, 74.0], [142.0, 90.0], [69.0, 97.0]], ('BAR 29', 0.8614467978477478)], [[[68.0, 109.0], [178.0, 99.0], [179.0, 113.0], [69.0, 123.0]], ('RECHNUNG NR. 88288', 0.9349320530891418)], [[[173.0, 100.0], [279.0, 93.0], [280.0, 106.0], [174.0, 114.0]], ('vo10.10.2015', 0.9084559082984924)], [[[218.0, 140.0], [253.0, 137.0], [255.0, 155.0], [219.0, 158.0]], ('3.10', 0.8771203756332397)], [[[287.0, 135.0], [321.0, 132.0], [323.0, 150.0], [289.0, 153.0]], ('3,10', 0.911584734916687)], [[[99.0, 151.0], [165.0, 146.0], [166.0, 160.0], [99.0, 164.0]], ('0.20 Tonic', 0.930642306804657)], [[[219.0, 156.0], [253.0, 153.0], [255.0, 171.0], [221.0, 173.0]], ('5,50', 0.921718955039978)], [[[287.0, 151.0], [323.0, 148.0], [325.0, 168.0], [289.0, 170.0]], ('5,50', 0.9472751617431641)], [[[98.0, 164.0], [204.0, 158.0], [205.0, 175.0], [99.0, 181.0]], ('0.5 Wieselburger', 0.9194502830505371)], [[[221.0, 171.0], [255.0, 171.0], [255.0, 190.0], [221.0, 190.0]], ('5,50', 0.9457205533981323)], [[[289.0, 167.0], [326.0, 165.0], [328.0, 184.0], [291.0, 186.0]], ('5,50', 0.9271856546401978)], [[[99.0, 181.0], [164.0, 178.0], [164.0, 192.0], [99.0, 195.0]], ('BELVED2c', 0.9410802721977234)], [[[263.0, 203.0], [336.0, 201.0], [336.0, 218.0], [263.0, 221.0]], ('14.10', 0.9292920827865601)], [[[63.0, 215.0], [101.0, 215.0], [101.0, 229.0], [63.0, 229.0]], ('Bar', 0.9981630444526672)], [[[61.0, 262.0], [97.0, 262.0], [97.0, 280.0], [61.0, 280.0]], ('NETTO', 0.99751216173172)], [[[295.0, 256.0], [335.0, 256.0], [335.0, 275.0], [295.0, 275.0]], ('11.75', 0.9320821762084961)], [[[59.0, 280.0], [94.0, 280.0], [94.0, 299.0], [59.0, 299.0]], ('MwSt.', 0.9580148458480835)], [[[192.0, 277.0], [239.0, 277.0], [239.0, 296.0], [192.0, 296.0]], ('20.00%', 0.9066619277000427)], [[[302.0, 274.0], [337.0, 274.0], [337.0, 294.0], [302.0, 294.0]], ('2.35', 0.8969683647155762)], [[[56.0, 315.0], [164.0, 315.0], [164.0, 346.0], [56.0, 346.0]], ('RECHINUNGSBETRAG', 0.9225010871887207)], [[[296.0, 311.0], [340.0, 311.0], [340.0, 343.0], [296.0, 343.0]], ('14,10', 0.9360001683235168)]]	{"store_name": "", "store_addr": "", "telephone": "01/5122192", "date": "10.10.2015", "time": "", "subtotal": "11,75", "tax": "2,35", "total": "14,10 14,10", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "0.20Tonic", "item_value": "3,10", "item_quantity": "1"}, {"item_key": "", "item_name": "0.5Wieseburger", "item_value": "5,50", "item_quantity": "1"}, {"item_key": "", "item_name": "BELVED2cl", "item_value": "5,50", "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	[[[[99.0, 34.0], [213.0, 34.0], [213.0, 48.0], [99.0, 48.0]], ("PINEAPPLE WILLY'S", 0.9677949547767639)], [[[97.0, 48.0], [211.0, 47.0], [212.0, 64.0], [97.0, 65.0]], ('9875 S THOMAS DR.', 0.9413126707077026)], [[[118.0, 66.0], [201.0, 66.0], [201.0, 80.0], [118.0, 80.0]], ('850-235-1225', 0.9926742911338806)], [[[15.0, 96.0], [120.0, 96.0], [120.0, 114.0], [15.0, 114.0]], ('Server:Heather', 0.9488167762756348)], [[[232.0, 96.0], [303.0, 93.0], [304.0, 110.0], [232.0, 113.0]], ('05/14/2015', 0.9965500831604004)], [[[15.0, 114.0], [93.0, 114.0], [93.0, 131.0], [15.0, 131.0]], ('Table311/1', 0.9832534790039062)], [[[254.0, 111.0], [304.0, 111.0], [304.0, 129.0], [254.0, 129.0]], ('9:07PM', 0.9595932960510254)], [[[13.0, 130.0], [87.0, 130.0], [87.0, 147.0], [13.0, 147.0]], ('Guests:14', 0.9536564350128174)], [[[222.0, 145.0], [303.0, 145.0], [303.0, 162.0], [222.0, 162.0]], ('#30168', 0.9975583553314209)], [[[14.0, 182.0], [133.0, 182.0], [133.0, 196.0], [14.0, 196.0]], ('Medium2 @11.00', 0.9494622349739075)], [[[269.0, 177.0], [307.0, 177.0], [307.0, 195.0], [269.0, 195.0]], ('22.00', 0.993007481098175)], [[[13.0, 198.0], [101.0, 198.0], [101.0, 215.0], [13.0, 215.0]], ('Cheeze Curds', 0.9600111842155457)], [[[271.0, 196.0], [307.0, 196.0], [307.0, 211.0], [271.0, 211.0]], ('12.00', 0.9958418011665344)], [[[12.0, 215.0], [107.0, 213.0], [107.0, 230.0], [13.0, 232.0]], ('Medium Refi11', 0.9127063155174255)], [[[276.0, 213.0], [308.0, 213.0], [308.0, 228.0], [276.0, 228.0]], ('9.00', 0.9973400235176086)], [[[14.0, 233.0], [118.0, 233.0], [118.0, 247.0], [14.0, 247.0]], ('Seafood Platter', 0.95644211769104)], [[[271.0, 230.0], [309.0, 230.0], [309.0, 245.0], [271.0, 245.0]], ('26.00', 0.996360182762146)], [[[12.0, 250.0], [115.0, 248.0], [115.0, 265.0], [13.0, 267.0]], ('Shrimp n Grits', 0.975273072719574)], [[[272.0, 247.0], [309.0, 247.0], [309.0, 262.0], [272.0, 262.0]], ('23.00', 0.9956038594245911)], [[[12.0, 282.0], [71.0, 282.0], [71.0, 300.0], [12.0, 300.0]], ('Subtotal', 0.9892971515655518)], [[[272.0, 280.0], [311.0, 280.0], [311.0, 298.0], [272.0, 298.0]], ('92.00', 0.996851921081543)], [[[12.0, 300.0], [39.0, 303.0], [37.0, 322.0], [10.0, 319.0]], ('Tax', 0.9961784482002258)], [[[278.0, 297.0], [312.0, 297.0], [312.0, 316.0], [278.0, 316.0]], ('6.96', 0.9919323921203613)], [[[11.0, 337.0], [49.0, 334.0], [50.0, 354.0], [12.0, 357.0]], ('Total', 0.9903717041015625)], [[[274.0, 332.0], [313.0, 332.0], [313.0, 352.0], [274.0, 352.0]], ('98.96', 0.9973257184028625)], [[[12.0, 372.0], [171.0, 371.0], [171.0, 389.0], [13.0, 390.0]], ('Balance Due', 0.9638965129852295)], [[[210.0, 369.0], [311.0, 368.0], [311.0, 386.0], [210.0, 387.0]], ('$98.96', 0.9883096814155579)], [[[112.0, 407.0], [214.0, 405.0], [215.0, 422.0], [112.0, 424.0]], ('20% Tip=18.40', 0.9562457799911499)], [[[113.0, 424.0], [215.0, 423.0], [215.0, 441.0], [113.0, 442.0]], ('18% Tip=16.56', 0.9323989152908325)]]	{"store_name": "PINEAPPLEWILLY\u2032S", "store_addr": "9875STHOMASDR.", "telephone": "850-235-1225", "date": "05/14/2015", "time": "9:07PM", "subtotal": "92.00", "tax": "6.96", "total": "$98.96 98.96", "ignore": "", "tips": "16.56 18.40", "line_items": [{"item_key": "", "item_name": "ShrimpnGrits", "item_value": "23.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SeafoodPlatter", "item_value": "26.00", "item_quantity": "1"}, {"item_key": "", "item_name": "MediumRefill", "item_value": "9.00", "item_quantity": "1"}, {"item_key": "", "item_name": "CheezeCurds", "item_value": "12.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Medium([email protected])", "item_value": "22.00", "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	[[[[125.0, 58.0], [214.0, 55.0], [214.0, 65.0], [125.0, 68.0]], (' Grosvenor House', 0.9316290616989136)], [[[139.0, 50.0], [197.0, 50.0], [197.0, 60.0], [139.0, 60.0]], ('Park Room', 0.8485107421875)], [[[131.0, 75.0], [210.0, 74.0], [210.0, 88.0], [132.0, 89.0]], ('London.W1K 7TN', 0.8335776329040527)], [[[140.0, 66.0], [206.0, 66.0], [206.0, 77.0], [140.0, 77.0]], ('86 Park Lane', 0.9290619492530823)], [[[122.0, 86.0], [220.0, 85.0], [220.0, 99.0], [122.0, 100.0]], ('Tel0207 499 6363', 0.9291155338287354)], [[[126.0, 100.0], [216.0, 97.0], [216.0, 110.0], [126.0, 113.0]], ('VATGB830770438', 0.9652617573738098)], [[[73.0, 111.0], [161.0, 111.0], [161.0, 125.0], [73.0, 125.0]], ('440510087 Lucas C', 0.956902801990509)], [[[74.0, 138.0], [132.0, 138.0], [132.0, 149.0], [74.0, 149.0]], ('CHK3014664', 0.9872980117797852)], [[[144.0, 137.0], [194.0, 137.0], [194.0, 148.0], [144.0, 148.0]], ('TBL242/1', 0.9786128401756287)], [[[246.0, 135.0], [277.0, 135.0], [277.0, 150.0], [246.0, 150.0]], ('GST4', 0.9900734424591064)], [[[133.0, 149.0], [209.0, 149.0], [209.0, 162.0], [133.0, 162.0]], ('10APR15 19:38', 0.9397475719451904)], [[[77.0, 174.0], [180.0, 174.0], [180.0, 187.0], [77.0, 187.0]], ('2 Cheesecake 14.00', 0.9073432087898254)], [[[229.0, 173.0], [259.0, 173.0], [259.0, 187.0], [229.0, 187.0]], ('28.00', 0.9948115348815918)], [[[77.0, 186.0], [169.0, 186.0], [169.0, 199.0], [77.0, 199.0]], ('2Macarrons5.50', 0.944359302520752)], [[[230.0, 185.0], [259.0, 185.0], [259.0, 199.0], [230.0, 199.0]], ('11.00', 0.9895685315132141)], [[[77.0, 196.0], [143.0, 198.0], [143.0, 212.0], [77.0, 210.0]], ('1 Cappuccino', 0.9344249367713928)], [[[233.0, 197.0], [259.0, 197.0], [259.0, 212.0], [233.0, 212.0]], ('5.50', 0.9816834330558777)], [[[78.0, 209.0], [155.0, 210.0], [154.0, 224.0], [78.0, 223.0]], ('1 Hot Chocolate', 0.9572939276695251)], [[[233.0, 208.0], [260.0, 210.0], [258.0, 225.0], [232.0, 223.0]], ('5.50', 0.9848195314407349)], [[[78.0, 221.0], [155.0, 222.0], [154.0, 236.0], [78.0, 235.0]], ('1 Afternoon Tea', 0.9464223384857178)], [[[233.0, 221.0], [258.0, 221.0], [258.0, 236.0], [233.0, 236.0]], ('5.50', 0.9956597089767456)], [[[88.0, 246.0], [131.0, 246.0], [131.0, 260.0], [88.0, 260.0]], ('Subtotal', 0.9849358201026917)], [[[225.0, 246.0], [258.0, 246.0], [258.0, 260.0], [225.0, 260.0]], ('55.50', 0.992584228515625)], [[[88.0, 258.0], [183.0, 258.0], [183.0, 271.0], [88.0, 271.0]], ('Service Charg 12.5%', 0.9424742460250854)], [[[227.0, 258.0], [257.0, 258.0], [257.0, 272.0], [227.0, 272.0]], ('6.95', 0.9837281703948975)], [[[76.0, 270.0], [165.0, 270.0], [165.0, 283.0], [76.0, 283.0]], ('Total Due', 0.961450457572937)], [[[210.0, 269.0], [271.0, 271.0], [270.0, 285.0], [209.0, 283.0]], ('62.45', 0.9939234852790833)], [[[147.0, 292.0], [194.0, 292.0], [194.0, 306.0], [147.0, 306.0]], ('THANKYOU', 0.9567958116531372)], [[[94.0, 304.0], [246.0, 306.0], [246.0, 320.0], [94.0, 318.0]], ('Service Charge is Discretionary', 0.9629348516464233)], [[[97.0, 351.0], [144.0, 355.0], [143.0, 370.0], [96.0, 366.0]], ('Gratutty:', 0.9444952011108398)], [[[179.0, 355.0], [212.0, 355.0], [212.0, 369.0], [179.0, 369.0]], ('Total:', 0.9783177971839905)], [[[99.0, 377.0], [161.0, 381.0], [160.0, 395.0], [99.0, 392.0]], ('Roon Nuber:', 0.869245707988739)], [[[94.0, 401.0], [151.0, 406.0], [150.0, 421.0], [93.0, 417.0]], ('Print Nane:', 0.9398638010025024)], [[[98.0, 429.0], [152.0, 432.0], [151.0, 446.0], [97.0, 443.0]], ('Signature:', 0.9808182716369629)]]	{"store_name": "JwGrosvenor House", "store_addr": "86ParkLane London.W1K7TN", "telephone": "02074996363", "date": "10APP'15", "time": "19:38", "subtotal": "\uffe155.50", "tax": "", "total": "\uffe162.45", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "[email protected]", "item_value": "28.00", "item_quantity": "1"}, {"item_key": "", "item_name": "[email protected]", "item_value": "11.00", "item_quantity": "1"}, {"item_key": "", "item_name": "CappuccIno", "item_value": "5.50", "item_quantity": "1"}, {"item_key": "", "item_name": "HotChocoIate", "item_value": "5.50", "item_quantity": "1"}, {"item_key": "", "item_name": "AfternoonTea", "item_value": "5.50", "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	[[[[126.0, 65.0], [399.0, 44.0], [402.0, 73.0], [129.0, 95.0]], ('Mezcalero', 0.9688658118247986)], [[[177.0, 116.0], [381.0, 99.0], [382.0, 117.0], [179.0, 134.0]], ('Nercalara Cocire Mexicana', 0.7434378266334534)], [[[178.0, 138.0], [382.0, 121.0], [383.0, 138.0], [179.0, 154.0]], ('3714 141n51Sute N0100', 0.7816711664199829)], [[[187.0, 159.0], [371.0, 144.0], [373.0, 164.0], [189.0, 180.0]], ('WshrgtonCC20010', 0.8392639756202698)], [[[217.0, 181.0], [340.0, 170.0], [342.0, 191.0], [219.0, 202.0]], ('(202)000-2114', 0.8586564660072327)], [[[233.0, 228.0], [324.0, 221.0], [325.0, 241.0], [235.0, 248.0]], ('Dine-h ', 0.5608042478561401)], [[[184.0, 254.0], [379.0, 239.0], [380.0, 260.0], [185.0, 275.0]], ('02/0/201710.3241PM', 0.9186666011810303)], [[[214.0, 275.0], [347.0, 268.0], [348.0, 289.0], [215.0, 296.0]], ('Piaod Ey Karna', 0.7105059623718262)], [[[250.0, 297.0], [315.0, 295.0], [316.0, 316.0], [251.0, 318.0]], ('Table14', 0.846169114112854)], [[[200.0, 346.0], [364.0, 339.0], [365.0, 359.0], [201.0, 366.0]], ('Numberot Guests2', 0.7378069162368774)], [[[419.0, 385.0], [463.0, 385.0], [463.0, 408.0], [419.0, 408.0]], ('7.00', 0.9126563668251038)], [[[126.0, 396.0], [267.0, 392.0], [267.0, 411.0], [126.0, 416.0]], ('Tacos de Canasta', 0.8707860708236694)], [[[162.0, 421.0], [219.0, 421.0], [219.0, 437.0], [162.0, 437.0]], ('Artes', 0.876212477684021)], [[[214.0, 426.0], [230.0, 426.0], [230.0, 432.0], [214.0, 432.0]], ('-', 0.7287940979003906)], [[[120.0, 443.0], [271.0, 442.0], [271.0, 462.0], [120.0, 463.0]], ('Toco Campechang', 0.8430003523826599)], [[[422.0, 438.0], [463.0, 438.0], [463.0, 457.0], [422.0, 457.0]], ('3.00', 0.9249216914176941)], [[[120.0, 468.0], [226.0, 470.0], [226.0, 491.0], [120.0, 489.0]], ('7acLerg', 0.7299466729164124)], [[[420.0, 463.0], [464.0, 461.0], [465.0, 483.0], [421.0, 486.0]], ('2.75', 0.9141499996185303)], [[[118.0, 494.0], [266.0, 494.0], [266.0, 513.0], [118.0, 513.0]], ('Gorats Chichsron', 0.7648147940635681)], [[[423.0, 491.0], [466.0, 491.0], [466.0, 512.0], [423.0, 512.0]], ('5.00', 0.9877638816833496)], [[[115.0, 517.0], [198.0, 517.0], [198.0, 541.0], [115.0, 541.0]], ('Moe Fo', 0.619702160358429)], [[[413.0, 517.0], [467.0, 517.0], [467.0, 539.0], [413.0, 539.0]], ('12:00', 0.8860265612602234)], [[[113.0, 543.0], [180.0, 545.0], [179.0, 567.0], [112.0, 564.0]], ('Torresss', 0.8759737014770508)], [[[424.0, 544.0], [469.0, 544.0], [469.0, 567.0], [424.0, 567.0]], ('5.CO', 0.8155943155288696)], [[[110.0, 570.0], [245.0, 572.0], [245.0, 592.0], [110.0, 590.0]], ('Modeo Especial', 0.9192513227462769)], [[[424.0, 570.0], [470.0, 573.0], [469.0, 596.0], [423.0, 593.0]], ('5.00', 0.8851184844970703)], [[[79.0, 625.0], [150.0, 625.0], [150.0, 647.0], [79.0, 647.0]], ('Suctora!', 0.8474323749542236)], [[[413.0, 630.0], [472.0, 630.0], [472.0, 655.0], [413.0, 655.0]], ('39.75', 0.9784190058708191)], [[[73.0, 653.0], [109.0, 653.0], [109.0, 676.0], [73.0, 676.0]], ('Tax', 0.9429610371589661)], [[[426.0, 659.0], [472.0, 662.0], [471.0, 686.0], [425.0, 684.0]], ('3.98', 0.9702025651931763)], [[[69.0, 679.0], [117.0, 682.0], [116.0, 707.0], [68.0, 704.0]], ('Tote.', 0.8762299418449402)], [[[423.0, 691.0], [476.0, 693.0], [475.0, 718.0], [422.0, 715.0]], ('43.73', 0.9937531352043152)], [[[64.0, 708.0], [144.0, 711.0], [143.0, 737.0], [63.0, 733.0]], ('Payment', 0.9300540089607239)], [[[412.0, 719.0], [475.0, 722.0], [474.0, 748.0], [411.0, 745.0]], ('SPLIT', 0.9937065243721008)], [[[165.0, 745.0], [373.0, 755.0], [372.0, 775.0], [164.0, 766.0]], ('ww.mezcalerodc.com', 0.934863805770874)], [[[123.0, 775.0], [412.0, 789.0], [411.0, 813.0], [122.0, 798.0]], ('Immgrants help mske America', 0.8547502160072327)], [[[231.0, 815.0], [290.0, 811.0], [292.0, 838.0], [233.0, 842.0]], ('greati', 0.8664306998252869)]]	{"store_name": "Mezcalero", "store_addr": "", "telephone": "(202)830-2114", "date": "", "time": "10:32:41PM", "subtotal": "39.75", "tax": "3.98", "total": "43.73", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "ModeoEspecial", "item_value": "7.00", "item_quantity": "1"}, {"item_key": "", "item_name": "TecoCampechano", "item_value": "3.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "2.75", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "5.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "12.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "5.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "6.00", "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	[[[[354.0, 137.0], [528.0, 173.0], [524.0, 192.0], [350.0, 155.0]], ('LITTLE CAESARS', 0.9726961851119995)], [[[398.0, 163.0], [467.0, 179.0], [463.0, 196.0], [395.0, 180.0]], ('PIZZA', 0.9950848817825317)], [[[392.0, 179.0], [458.0, 195.0], [454.0, 212.0], [388.0, 195.0]], ('FALLBROOK', 0.9573155641555786)], [[[286.0, 191.0], [311.0, 198.0], [307.0, 214.0], [281.0, 207.0]], ('JATE', 0.9932901263237)], [[[377.0, 190.0], [467.0, 211.0], [463.0, 228.0], [373.0, 208.0]], ('760728-8241', 0.9796499609947205)], [[[315.0, 213.0], [428.0, 249.0], [421.0, 271.0], [308.0, 235.0]], ('HULA HAWAIIAN', 0.8981700539588928)], [[[309.0, 231.0], [423.0, 264.0], [417.0, 284.0], [303.0, 251.0]], ('HNR PEPPERUNI 1', 0.910762369632721)], [[[369.0, 222.0], [450.0, 240.0], [446.0, 257.0], [365.0, 239.0]], ('09/18/2015', 0.9839743375778198)], [[[305.0, 248.0], [367.0, 266.0], [362.0, 285.0], [299.0, 267.0]], ('TAX TOTAL', 0.9582550525665283)], [[[301.0, 260.0], [366.0, 282.0], [359.0, 302.0], [294.0, 279.0]], ('TOTAL', 0.9983378648757935)], [[[527.0, 264.0], [552.0, 270.0], [548.0, 287.0], [523.0, 281.0]], ('FRI', 0.9188187122344971)], [[[246.0, 283.0], [278.0, 287.0], [276.0, 303.0], [244.0, 299.0]], ('SALE', 0.9496146440505981)], [[[292.0, 278.0], [370.0, 300.0], [365.0, 318.0], [287.0, 296.0]], ('CREDIT CARD', 0.9546529650688171)], [[[510.0, 275.0], [552.0, 286.0], [548.0, 305.0], [505.0, 294.0]], ('$8.00', 0.9863407015800476)], [[[240.0, 296.0], [322.0, 319.0], [318.0, 336.0], [236.0, 313.0]], ('+*++', 0.5170472264289856)], [[[506.0, 291.0], [549.0, 301.0], [545.0, 320.0], [502.0, 310.0]], ('$5.00', 0.994820773601532)], [[[234.0, 310.0], [313.0, 335.0], [307.0, 354.0], [228.0, 329.0]], ('4PP:044720', 0.9048401117324829)], [[[227.0, 327.0], [322.0, 356.0], [316.0, 377.0], [221.0, 348.0]], ('EF:24572732', 0.9257652163505554)], [[[221.0, 344.0], [275.0, 361.0], [268.0, 382.0], [215.0, 365.0]], ('REC54', 0.8978597521781921)], [[[487.0, 335.0], [539.0, 350.0], [533.0, 370.0], [481.0, 355.0]], ('$14.0', 0.9818609356880188)], [[[484.0, 354.0], [533.0, 366.0], [529.0, 385.0], [479.0, 373.0]], ('$14.0', 0.9879137277603149)], [[[6.0, 383.0], [181.0, 383.0], [181.0, 529.0], [6.0, 529.0]], ('es', 0.9615110158920288)], [[[207.0, 379.0], [412.0, 447.0], [405.0, 468.0], [200.0, 400.0]], ('O.000219 REGMPLOYEE', 0.863735020160675)], [[[254.0, 374.0], [457.0, 441.0], [450.0, 461.0], [247.0, 395.0]], ('ORDER0119*', 0.9172241687774658)], [[[238.0, 436.0], [323.0, 458.0], [316.0, 486.0], [231.0, 464.0]], ('whit', 0.896274983882904)], [[[424.0, 452.0], [507.0, 479.0], [500.0, 500.0], [417.0, 473.0]], ('TIME 17:55', 0.8805471658706665)], [[[328.0, 472.0], [439.0, 509.0], [432.0, 529.0], [321.0, 492.0]], ('-Wona', 0.7389770746231079)], [[[2.0, 598.0], [156.0, 598.0], [156.0, 611.0], [2.0, 611.0]], ('TMZ.com/Splash News', 0.9706787467002869)]]	{"store_name": "LITTLECAESARS PIZZA", "store_addr": "FALLBROOK", "telephone": "(760)728-8241", "date": "09/18/2015", "time": "17:55", "subtotal": "", "tax": "$1.04", "total": "$14.04 $14.04 $14.04", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "HULAHAWAIIANT1", "item_value": "$8.00", "item_quantity": "1"}, {"item_key": "", "item_name": "HNRPEPPERONIT1", "item_value": "$5.00", "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	[[[[26.0, 3.0], [71.0, 1.0], [72.0, 14.0], [27.0, 17.0]], ('1/21/2018', 0.959595263004303)], [[[164.0, 0.0], [214.0, 0.0], [215.0, 12.0], [164.0, 14.0]], ('6:04:50PM', 0.9096483588218689)], [[[25.0, 15.0], [126.0, 10.0], [126.0, 22.0], [26.0, 28.0]], ('Ordar IdAAA9MGQYAEDO', 0.8416347503662109)], [[[26.0, 25.0], [93.0, 21.0], [94.0, 35.0], [27.0, 38.0]], ('72-FIVE GUTS', 0.8472142219543457)], [[[24.0, 36.0], [105.0, 32.0], [106.0, 46.0], [25.0, 50.0]], ('Emplcyee:Anber M', 0.7605255842208862)], [[[115.0, 65.0], [128.0, 65.0], [128.0, 83.0], [115.0, 83.0]], ('72', 0.998029887676239)], [[[30.0, 106.0], [133.0, 102.0], [134.0, 117.0], [31.0, 120.0]], ('2 Cheeseburger (@7.99', 0.8722391724586487)], [[[188.0, 102.0], [222.0, 102.0], [222.0, 115.0], [188.0, 115.0]], ('$15.98', 0.9950897693634033)], [[[43.0, 114.0], [80.0, 116.0], [79.0, 130.0], [42.0, 128.0]], ('Pickles', 0.9325333833694458)], [[[192.0, 113.0], [222.0, 113.0], [222.0, 127.0], [192.0, 127.0]], ('$0.00', 0.9960665702819824)], [[[42.0, 126.0], [80.0, 128.0], [79.0, 142.0], [41.0, 139.0]], ('Lettuce', 0.955924391746521)], [[[193.0, 125.0], [223.0, 125.0], [223.0, 139.0], [193.0, 139.0]], ('$0.00', 0.9945049285888672)], [[[44.0, 141.0], [82.0, 141.0], [82.0, 151.0], [44.0, 151.0]], ('Tomatoes', 0.919228732585907)], [[[193.0, 138.0], [223.0, 138.0], [223.0, 151.0], [193.0, 151.0]], ('000$', 0.9116523861885071)], [[[42.0, 149.0], [77.0, 152.0], [75.0, 165.0], [41.0, 163.0]], ('Onions', 0.9442574381828308)], [[[193.0, 149.0], [224.0, 149.0], [224.0, 163.0], [193.0, 163.0]], ('$0.00', 0.9892641305923462)], [[[43.0, 164.0], [80.0, 164.0], [80.0, 175.0], [43.0, 175.0]], ('Mustard', 0.992071270942688)], [[[194.0, 162.0], [224.0, 162.0], [224.0, 176.0], [194.0, 176.0]], ('$0.00', 0.9972156286239624)], [[[31.0, 174.0], [121.0, 174.0], [121.0, 188.0], [31.0, 188.0]], ('1 Regular Cajun Fry', 0.9221524596214294)], [[[30.0, 186.0], [125.0, 186.0], [125.0, 198.0], [30.0, 198.0]], ('2 Large Soda 02.95', 0.9068220853805542)], [[[194.0, 187.0], [223.0, 187.0], [223.0, 197.0], [194.0, 197.0]], ('$5.90', 0.9868386387825012)], [[[24.0, 203.0], [70.0, 205.0], [69.0, 219.0], [23.0, 217.0]], ('Sub Total', 0.8118285536766052)], [[[188.0, 205.0], [222.0, 205.0], [222.0, 219.0], [188.0, 219.0]], ('$26.27', 0.9884967803955078)], [[[29.0, 223.0], [71.0, 226.0], [71.0, 237.0], [28.0, 234.0]], ('Sales Tax', 0.8003925681114197)], [[[191.0, 224.0], [221.0, 224.0], [221.0, 237.0], [191.0, 237.0]], ('$2.32', 0.9856153726577759)], [[[30.0, 234.0], [79.0, 234.0], [79.0, 245.0], [30.0, 245.0]], ('Order Total', 0.937298595905304)], [[[188.0, 235.0], [219.0, 235.0], [219.0, 246.0], [188.0, 246.0]], ('$28.59', 0.9918230175971985)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "l/21/2018", "time": "6:04:50PM", "subtotal": "$26.27", "tax": "$2.32", "total": "$28.59", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "Cheeseburger(@7.99)", "item_value": "$15.98", "item_quantity": "1"}, {"item_key": "", "item_name": "Pickles", "item_value": "$0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Lettuce", "item_value": "$0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Tomatoes", "item_value": "$0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Onions", "item_value": "$0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Mustard", "item_value": "$0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "RegularCajunFry", "item_value": "$4.39", "item_quantity": "1"}, {"item_key": "", "item_name": "LargeSoda(@2.95)", "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	[[[[115.0, 43.0], [370.0, 44.0], [370.0, 61.0], [114.0, 60.0]], ('WELCOME TO FELLINI KROGER !!', 0.9186127781867981)], [[[95.0, 60.0], [243.0, 64.0], [242.0, 81.0], [95.0, 77.0]], ('2217 N Broadway', 0.937599778175354)], [[[96.0, 79.0], [234.0, 81.0], [234.0, 98.0], [96.0, 96.0]], ('1-865-523-1268', 0.9878082871437073)], [[[96.0, 98.0], [308.0, 100.0], [308.0, 117.0], [96.0, 115.0]], ('YOUR CASHIER WAS CINDY', 0.9527615904808044)], [[[57.0, 134.0], [253.0, 135.0], [253.0, 152.0], [57.0, 151.0]], ('KROGFP PLUS CUSTOMER', 0.9217000007629395)], [[[309.0, 138.0], [417.0, 138.0], [417.0, 152.0], [309.0, 152.0]], ('9169******', 0.8808894753456116)], [[[125.0, 152.0], [234.0, 154.0], [234.0, 171.0], [125.0, 169.0]], ('ATNO HUMMUS', 0.9626508355140686)], [[[297.0, 155.0], [321.0, 155.0], [321.0, 172.0], [297.0, 172.0]], ('PC', 0.9936705231666565)], [[[356.0, 153.0], [419.0, 155.0], [418.0, 173.0], [356.0, 171.0]], ('3.99B', 0.9922806024551392)], [[[48.0, 169.0], [304.0, 171.0], [304.0, 191.0], [47.0, 189.0]], ('SC54ATNOHUMMUS 1.00', 0.9270924925804138)], [[[357.0, 172.0], [418.0, 172.0], [418.0, 190.0], [357.0, 190.0]], ('2.99-B', 0.9773171544075012)], [[[125.0, 189.0], [243.0, 190.0], [243.0, 207.0], [125.0, 206.0]], ('FRIGO CHEESE', 0.9522419571876526)], [[[297.0, 191.0], [321.0, 191.0], [321.0, 208.0], [297.0, 208.0]], ('PC', 0.992152988910675)], [[[357.0, 191.0], [419.0, 191.0], [419.0, 209.0], [357.0, 209.0]], ('5.9B', 0.9779505729675293)], [[[50.0, 207.0], [301.0, 210.0], [301.0, 227.0], [49.0, 224.0]], ('SC 3433 FRIG0 CHEES5.39', 0.9163082838058472)], [[[358.0, 211.0], [419.0, 211.0], [419.0, 229.0], [358.0, 229.0]], ('0.40-B', 0.9494509696960449)], [[[124.0, 226.0], [235.0, 228.0], [235.0, 245.0], [124.0, 243.0]], ('ATNO HUMMUS', 0.9421613216400146)], [[[358.0, 229.0], [419.0, 229.0], [419.0, 247.0], [358.0, 247.0]], ('3.99B', 0.991839587688446)], [[[49.0, 244.0], [283.0, 246.0], [282.0, 263.0], [48.0, 261.0]], ('SC5427 ATNOHUMMUS 1.0', 0.9194416999816895)], [[[357.0, 248.0], [418.0, 248.0], [418.0, 266.0], [357.0, 266.0]], ('2.99-B', 0.982006847858429)], [[[126.0, 263.0], [243.0, 265.0], [243.0, 280.0], [126.0, 278.0]], ('KRO CHILI SC', 0.9264371395111084)], [[[303.0, 267.0], [321.0, 267.0], [321.0, 280.0], [303.0, 280.0]], ('PC', 0.9052298665046692)], [[[357.0, 266.0], [419.0, 266.0], [419.0, 284.0], [357.0, 284.0]], ('0.59B', 0.9812853932380676)], [[[50.0, 280.0], [302.0, 282.0], [302.0, 300.0], [49.0, 298.0]], ('SC5837KRO CHILI SC.50', 0.9193992614746094)], [[[357.0, 284.0], [420.0, 284.0], [420.0, 302.0], [357.0, 302.0]], ('0.09-B', 0.9760165214538574)], [[[125.0, 298.0], [246.0, 300.0], [245.0, 317.0], [125.0, 315.0]], ('KRO TUNA/WTR', 0.9609095454216003)], [[[358.0, 302.0], [420.0, 302.0], [420.0, 320.0], [358.0, 320.0]], ('0.74B', 0.9685124158859253)], [[[126.0, 316.0], [206.0, 319.0], [206.0, 337.0], [126.0, 334.0]], ('KRO SOUP', 0.938823938369751)], [[[358.0, 320.0], [421.0, 320.0], [421.0, 338.0], [358.0, 338.0]], ('1.43B', 0.9857062101364136)], [[[126.0, 335.0], [244.0, 339.0], [243.0, 357.0], [126.0, 353.0]], ('KRO APPLESCE', 0.969027578830719)], [[[358.0, 340.0], [420.0, 340.0], [420.0, 357.0], [358.0, 357.0]], ('1.60B', 0.9893619418144226)], [[[125.0, 354.0], [235.0, 357.0], [235.0, 374.0], [125.0, 371.0]], ('KRO CORN BF', 0.929667055606842)], [[[299.0, 357.0], [322.0, 357.0], [322.0, 374.0], [299.0, 374.0]], ('PC', 0.9930183291435242)], [[[355.0, 356.0], [420.0, 359.0], [419.0, 378.0], [355.0, 375.0]], ('1.29B', 0.9846876859664917)], [[[50.0, 372.0], [303.0, 375.0], [303.0, 394.0], [49.0, 390.0]], ('SC 3960KR0 C0RNBF 1.19', 0.8957946300506592)], [[[358.0, 377.0], [420.0, 377.0], [420.0, 395.0], [358.0, 395.0]], ('0.10-B', 0.9772284626960754)], [[[125.0, 390.0], [245.0, 394.0], [244.0, 411.0], [125.0, 407.0]], ('KRO CHILI SC', 0.9329490661621094)], [[[298.0, 395.0], [322.0, 395.0], [322.0, 410.0], [298.0, 410.0]], ('PC', 0.9891219735145569)], [[[358.0, 395.0], [420.0, 395.0], [420.0, 413.0], [358.0, 413.0]], ('0.59B', 0.9711809158325195)], [[[50.0, 408.0], [303.0, 413.0], [303.0, 430.0], [49.0, 425.0]], ('SC5837 KR0 CHILISC.50', 0.8905928730964661)], [[[359.0, 413.0], [421.0, 413.0], [421.0, 431.0], [359.0, 431.0]], ('0.09-B', 0.9779112935066223)], [[[125.0, 427.0], [245.0, 431.0], [244.0, 449.0], [125.0, 445.0]], ('MAR INS LNCH', 0.9589771628379822)], [[[357.0, 429.0], [420.0, 432.0], [419.0, 453.0], [357.0, 450.0]], ('0.40B', 0.9909143447875977)], [[[126.0, 447.0], [243.0, 450.0], [243.0, 467.0], [126.0, 464.0]], ('KRO TUNA/WTR', 0.9599640965461731)], [[[356.0, 449.0], [420.0, 452.0], [419.0, 471.0], [356.0, 468.0]], ('0.74B', 0.8907486200332642)], [[[126.0, 465.0], [245.0, 469.0], [244.0, 486.0], [126.0, 482.0]], ('KRO TUNA/WTR', 0.962321937084198)], [[[356.0, 471.0], [419.0, 471.0], [419.0, 489.0], [356.0, 489.0]], ('0.74B', 0.9791262745857239)], [[[126.0, 484.0], [245.0, 488.0], [244.0, 504.0], [126.0, 500.0]], ('KRO TUNA/WTR', 0.951695442199707)], [[[358.0, 490.0], [419.0, 490.0], [419.0, 507.0], [358.0, 507.0]], ('0.74B', 0.9759718179702759)], [[[125.0, 503.0], [243.0, 506.0], [243.0, 523.0], [125.0, 521.0]], ('KRO WH SLTNS', 0.9239075183868408)], [[[298.0, 507.0], [322.0, 507.0], [322.0, 523.0], [298.0, 523.0]], ('PC', 0.9933735132217407)], [[[357.0, 508.0], [421.0, 508.0], [421.0, 526.0], [357.0, 526.0]], ('1.11B', 0.9593502879142761)], [[[50.0, 519.0], [302.0, 525.0], [302.0, 543.0], [49.0, 538.0]], ('SC 5909 KR0 WHSLTNS .97', 0.8892265558242798)], [[[358.0, 527.0], [420.0, 527.0], [420.0, 545.0], [358.0, 545.0]], ('0.14-B', 0.9866696000099182)], [[[125.0, 540.0], [233.0, 542.0], [233.0, 560.0], [125.0, 558.0]], ('KRO CTG CHS', 0.9254193902015686)], [[[357.0, 544.0], [421.0, 544.0], [421.0, 565.0], [357.0, 565.0]], ('1.91B', 0.8976044654846191)], [[[126.0, 558.0], [234.0, 562.0], [234.0, 579.0], [126.0, 575.0]], ('HUNT SNK PK', 0.9260894656181335)], [[[356.0, 562.0], [419.0, 565.0], [418.0, 583.0], [356.0, 580.0]], ('1.10B', 0.9468561410903931)], [[[125.0, 578.0], [244.0, 581.0], [243.0, 598.0], [125.0, 595.0]], ('MAR INS LNCH', 0.917366087436676)], [[[357.0, 583.0], [420.0, 583.0], [420.0, 601.0], [357.0, 601.0]], ('0.40B', 0.9864068031311035)], [[[124.0, 596.0], [244.0, 599.0], [243.0, 616.0], [124.0, 613.0]], ('MAR INS LNCH', 0.930743396282196)], [[[357.0, 601.0], [419.0, 601.0], [419.0, 619.0], [357.0, 619.0]], ('0.40B', 0.9866013526916504)], [[[125.0, 613.0], [244.0, 616.0], [243.0, 633.0], [125.0, 630.0]], ('MAR INS LNCH', 0.9328270554542542)], [[[357.0, 619.0], [420.0, 619.0], [420.0, 637.0], [357.0, 637.0]], ('0.40B', 0.9854804873466492)], [[[124.0, 631.0], [243.0, 634.0], [242.0, 651.0], [124.0, 648.0]], ('LANCE WAFERS', 0.9536538124084473)], [[[357.0, 635.0], [418.0, 635.0], [418.0, 653.0], [357.0, 653.0]], ('2.50B', 0.9881829023361206)], [[[125.0, 650.0], [242.0, 652.0], [242.0, 669.0], [125.0, 667.0]], ('LANCE WAFERS', 0.9729982018470764)], [[[356.0, 650.0], [420.0, 653.0], [419.0, 674.0], [355.0, 672.0]], ('2.50B', 0.9931280016899109)], [[[125.0, 670.0], [204.0, 670.0], [204.0, 688.0], [125.0, 688.0]], ('KRO SOUP', 0.949813187122345)], [[[356.0, 672.0], [419.0, 672.0], [419.0, 693.0], [356.0, 693.0]], ('1.43B', 0.8896735906600952)], [[[124.0, 688.0], [233.0, 690.0], [233.0, 707.0], [124.0, 705.0]], ('CHEESE BITS', 0.9683613181114197)], [[[356.0, 691.0], [418.0, 693.0], [417.0, 711.0], [356.0, 709.0]], ('1.39B', 0.9887757301330566)], [[[123.0, 704.0], [160.0, 707.0], [159.0, 726.0], [121.0, 723.0]], ('TAX', 0.9953713417053223)], [[[356.0, 707.0], [398.0, 710.0], [397.0, 729.0], [354.0, 726.0]], ('2.25', 0.9946593642234802)], [[[75.0, 723.0], [195.0, 724.0], [195.0, 741.0], [75.0, 740.0]], ('BALANCE', 0.9513280987739563)], [[[348.0, 723.0], [401.0, 727.0], [399.0, 748.0], [346.0, 744.0]], ('31.22', 0.9936372637748718)], [[[49.0, 740.0], [204.0, 743.0], [204.0, 760.0], [48.0, 757.0]], ('***********7119', 0.8076100945472717)], [[[48.0, 759.0], [166.0, 761.0], [166.0, 778.0], [47.0, 776.0]], ('REF#078045', 0.9948409795761108)], [[[124.0, 779.0], [186.0, 781.0], [185.0, 800.0], [124.0, 798.0]], ('CREDIT', 0.9979310631752014)], [[[346.0, 782.0], [400.0, 782.0], [400.0, 803.0], [346.0, 803.0]], ('31.22', 0.9962422251701355)], [[[123.0, 797.0], [186.0, 799.0], [185.0, 817.0], [122.0, 815.0]], ('CHANGE', 0.9979313015937805)], [[[356.0, 803.0], [397.0, 803.0], [397.0, 821.0], [356.0, 821.0]], ('0.00', 0.9959771633148193)], [[[48.0, 816.0], [319.0, 820.0], [318.0, 837.0], [47.0, 833.0]], ('TOTAL NUMBER OF ITEMS SOLD=', 0.9432037472724915)], [[[356.0, 821.0], [381.0, 821.0], [381.0, 840.0], [356.0, 840.0]], ('23', 0.9990941286087036)]]	{"store_name": "WELCOMETOFELLINIKROGER!!", "store_addr": "2217NBroadway", "telephone": "1-865-523-1268", "date": "", "time": "", "subtotal": "", "tax": "2.25", "total": "31.22 31.22", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "ATNDHUMMUS", "item_value": "3.99", "item_quantity": "1"}, {"item_key": "", "item_name": "FRIGOCHEESE", "item_value": "3.99", "item_quantity": "1"}, {"item_key": "", "item_name": "ATNOHUMMUS", "item_value": "0.59", "item_quantity": "1"}, {"item_key": "", "item_name": "KROCHILISC", "item_value": "0.74", "item_quantity": "1"}, {"item_key": "", "item_name": "KROTUNA/WTR", "item_value": "1.43", "item_quantity": "1"}, {"item_key": "", "item_name": "KROSOUP", "item_value": "1.60", "item_quantity": "1"}, {"item_key": "", "item_name": "KROAPPLESCE", "item_value": "1.29", "item_quantity": "1"}, {"item_key": "", "item_name": "KROCORNBF", "item_value": "0.59", "item_quantity": "1"}, {"item_key": "", "item_name": "KROCHILISC", "item_value": "0.40", "item_quantity": "1"}, {"item_key": "", "item_name": "MARINSLNCH", "item_value": "0.74", "item_quantity": "1"}, {"item_key": "", "item_name": "KROTUNA/WTR", "item_value": "0.74", "item_quantity": "1"}, {"item_key": "", "item_name": "KROTUNA/WTR", "item_value": "0.74", "item_quantity": "1"}, {"item_key": "", "item_name": "KROTUNA/WTR", "item_value": "1.11", "item_quantity": "1"}, {"item_key": "", "item_name": "KROWHSLTNS", "item_value": "1.91", "item_quantity": "1"}, {"item_key": "", "item_name": "KROCTGCHS", "item_value": "1.10", "item_quantity": "1"}, {"item_key": "", "item_name": "HUNTSNKPK", "item_value": "0.40", "item_quantity": "1"}, {"item_key": "", "item_name": "MARINSLNCH", "item_value": "0.40", "item_quantity": "1"}, {"item_key": "", "item_name": "MARINSLNCH", "item_value": "0.40", "item_quantity": "1"}, {"item_key": "", "item_name": "MARINSLNCH", "item_value": "2.50", "item_quantity": "1"}, {"item_key": "", "item_name": "LANCEWAFERS", "item_value": "2.50", "item_quantity": "1"}, {"item_key": "", "item_name": "LANCEWAFERS", "item_value": "1.43", "item_quantity": "1"}, {"item_key": "", "item_name": "KROSOUP", "item_value": "139", "item_quantity": "1"}, {"item_key": "", "item_name": "CHEESEBITS", "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	[[[[348.0, 54.0], [454.0, 54.0], [454.0, 107.0], [348.0, 107.0]], ('Receipt', 0.9298856854438782)], [[[189.0, 137.0], [630.0, 138.0], [630.0, 162.0], [189.0, 161.0]], ('Thank you for choosing Hidden', 0.9629697203636169)], [[[189.0, 164.0], [296.0, 164.0], [296.0, 185.0], [189.0, 185.0]], ('Tax Oil', 0.9312868118286133)], [[[190.0, 206.0], [403.0, 206.0], [403.0, 226.0], [190.0, 226.0]], ('Receipt 123606', 0.9646910429000854)], [[[191.0, 238.0], [477.0, 235.0], [478.0, 256.0], [192.0, 259.0]], ('Type:SALE 08/17/15', 0.944591224193573)], [[[189.0, 283.0], [270.0, 281.0], [271.0, 298.0], [190.0, 300.0]], ('Qty Name', 0.9620118141174316)], [[[419.0, 280.0], [473.0, 282.0], [472.0, 300.0], [418.0, 298.0]], ('Price', 0.9981931447982788)], [[[540.0, 282.0], [593.0, 282.0], [593.0, 299.0], [540.0, 299.0]], ('Total', 0.9981670379638672)], [[[188.0, 310.0], [230.0, 312.0], [229.0, 330.0], [187.0, 328.0]], ('Pump', 0.9960101246833801)], [[[419.0, 312.0], [431.0, 312.0], [431.0, 328.0], [419.0, 328.0]], ('5', 0.9988435506820679)], [[[191.0, 339.0], [265.0, 339.0], [265.0, 353.0], [191.0, 353.0]], ('Gallons:', 0.9854811429977417)], [[[418.0, 338.0], [441.0, 338.0], [441.0, 354.0], [418.0, 354.0]], ('15', 0.9991124868392944)], [[[190.0, 363.0], [304.0, 364.0], [304.0, 381.0], [189.0, 380.0]], ('Price/Gallon', 0.9910011291503906)], [[[419.0, 363.0], [470.0, 363.0], [470.0, 381.0], [419.0, 381.0]], ('$3.63', 0.996680736541748)], [[[540.0, 363.0], [591.0, 363.0], [591.0, 381.0], [540.0, 381.0]], ('54.45', 0.996873676776886)], [[[188.0, 398.0], [243.0, 398.0], [243.0, 415.0], [188.0, 415.0]], ('Taxes', 0.9984111785888672)], [[[190.0, 428.0], [313.0, 428.0], [313.0, 442.0], [190.0, 442.0]], ('Federal motor', 0.9894123673439026)], [[[191.0, 445.0], [332.0, 445.0], [332.0, 460.0], [191.0, 460.0]], ('fuel excise tax', 0.9728968143463135)], [[[420.0, 444.0], [470.0, 444.0], [470.0, 463.0], [420.0, 463.0]], ('$0.18', 0.9986931681632996)], [[[541.0, 444.0], [591.0, 444.0], [591.0, 463.0], [541.0, 463.0]], ('$2.76', 0.9964035749435425)], [[[191.0, 474.0], [266.0, 474.0], [266.0, 488.0], [191.0, 488.0]], ('Illinois', 0.9932671785354614)], [[[191.0, 492.0], [368.0, 492.0], [368.0, 506.0], [191.0, 506.0]], ('environmental taxes', 0.9942201375961304)], [[[420.0, 490.0], [469.0, 490.0], [469.0, 508.0], [420.0, 508.0]], ('$0.01', 0.9988064765930176)], [[[543.0, 491.0], [589.0, 491.0], [589.0, 506.0], [543.0, 506.0]], ('$0.17', 0.9990633130073547)], [[[191.0, 521.0], [321.0, 521.0], [321.0, 535.0], [191.0, 535.0]], ('Illinois state', 0.9869444966316223)], [[[419.0, 519.0], [470.0, 519.0], [470.0, 537.0], [419.0, 537.0]], ('$0.18', 0.9983986020088196)], [[[542.0, 519.0], [590.0, 519.0], [590.0, 537.0], [542.0, 537.0]], ('$2.77', 0.9977644085884094)], [[[190.0, 539.0], [277.0, 539.0], [277.0, 553.0], [190.0, 553.0]], ('sales tax', 0.980366051197052)], [[[191.0, 566.0], [369.0, 566.0], [369.0, 580.0], [191.0, 580.0]], ('Illinois excise tax', 0.9746440052986145)], [[[420.0, 567.0], [468.0, 567.0], [468.0, 582.0], [420.0, 582.0]], ('$0.19', 0.998785674571991)], [[[543.0, 567.0], [589.0, 567.0], [589.0, 582.0], [543.0, 582.0]], ('$2.85', 0.9985631704330444)], [[[191.0, 596.0], [332.0, 596.0], [332.0, 610.0], [191.0, 610.0]], ('Cook county and', 0.9693686962127686)], [[[191.0, 613.0], [333.0, 613.0], [333.0, 627.0], [191.0, 627.0]], ('city excise tax', 0.9552059173583984)], [[[419.0, 611.0], [470.0, 611.0], [470.0, 629.0], [419.0, 629.0]], ('$0.11', 0.9976248741149902)], [[[542.0, 611.0], [590.0, 611.0], [590.0, 629.0], [542.0, 629.0]], ('$1.65', 0.998388409614563)], [[[190.0, 639.0], [341.0, 639.0], [341.0, 656.0], [190.0, 656.0]], ('County home rule', 0.9683448076248169)], [[[191.0, 658.0], [277.0, 658.0], [277.0, 672.0], [191.0, 672.0]], ('sales tax', 0.9745145440101624)], [[[419.0, 655.0], [470.0, 655.0], [470.0, 673.0], [419.0, 673.0]], ('$0.02', 0.9964993596076965)], [[[542.0, 655.0], [591.0, 655.0], [591.0, 673.0], [542.0, 673.0]], ('$0.35', 0.9985364675521851)], [[[190.0, 686.0], [369.0, 686.0], [369.0, 700.0], [190.0, 700.0]], ('Home rule sales tax', 0.9579143524169922)], [[[420.0, 685.0], [469.0, 685.0], [469.0, 700.0], [420.0, 700.0]], ('$0.04', 0.9970560073852539)], [[[543.0, 685.0], [590.0, 685.0], [590.0, 700.0], [543.0, 700.0]], ('$0.58', 0.9988266229629517)], [[[191.0, 714.0], [396.0, 714.0], [396.0, 728.0], [191.0, 728.0]], ('Regional transporation', 0.9928945302963257)], [[[190.0, 729.0], [371.0, 730.0], [371.0, 748.0], [189.0, 746.0]], ('authority sales tax', 0.9704174399375916)], [[[420.0, 729.0], [470.0, 729.0], [470.0, 747.0], [420.0, 747.0]], ('$0.03', 0.996843159198761)], [[[542.0, 729.0], [590.0, 729.0], [590.0, 747.0], [542.0, 747.0]], ('$0.47', 0.9970277547836304)], [[[190.0, 762.0], [330.0, 764.0], [330.0, 781.0], [189.0, 780.0]], ('Total gasoline', 0.982768177986145)], [[[191.0, 785.0], [290.0, 785.0], [290.0, 799.0], [191.0, 799.0]], ('tax amount', 0.9735733270645142)], [[[420.0, 783.0], [469.0, 783.0], [469.0, 801.0], [420.0, 801.0]], ('$0.77', 0.9290976524353027)], [[[542.0, 783.0], [600.0, 783.0], [600.0, 800.0], [542.0, 800.0]], ('$11.59', 0.9969749450683594)], [[[275.0, 830.0], [339.0, 832.0], [338.0, 851.0], [274.0, 849.0]], ('Have', 0.9976924061775208)], [[[348.0, 834.0], [382.0, 834.0], [382.0, 849.0], [348.0, 849.0]], ('a.', 0.7253052592277527)], [[[379.0, 831.0], [530.0, 831.0], [530.0, 852.0], [379.0, 852.0]], ('great day!', 0.9359203577041626)]]	{"store_name": "Taxoil", "store_addr": "", "telephone": "", "date": "08/17/15", "time": "", "subtotal": "", "tax": "$2.76 $0.17 $2.77 $2.85 $1.65 $0.35 $0.58 $0.47 $11.59", "total": "", "ignore": "", "tips": "", "line_items": [{"item_key": "QtyName", "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	[[[[160.0, 72.0], [270.0, 70.0], [270.0, 97.0], [161.0, 99.0]], ('8/1/2011', 0.9937809705734253)], [[[346.0, 73.0], [481.0, 69.0], [482.0, 93.0], [346.0, 98.0]], ('6:23:13PM', 0.9116799831390381)], [[[64.0, 128.0], [148.0, 128.0], [148.0, 155.0], [64.0, 155.0]], ('Check#', 0.9091604351997375)], [[[185.0, 126.0], [297.0, 124.0], [297.0, 151.0], [186.0, 153.0]], ('Table/PN', 0.9723804593086243)], [[[334.0, 125.0], [513.0, 119.0], [514.0, 145.0], [335.0, 152.0]], ('Guests Server', 0.9734687805175781)], [[[184.0, 154.0], [267.0, 154.0], [267.0, 182.0], [184.0, 182.0]], ('1359/1', 0.9982406497001648)], [[[360.0, 152.0], [381.0, 152.0], [381.0, 177.0], [360.0, 177.0]], ('1', 0.9271935820579529)], [[[445.0, 146.0], [490.0, 146.0], [490.0, 173.0], [445.0, 173.0]], ('165', 0.9987065196037292)], [[[58.0, 158.0], [145.0, 153.0], [147.0, 181.0], [60.0, 186.0]], ('288147', 0.9898331165313721)], [[[547.0, 198.0], [611.0, 198.0], [611.0, 226.0], [547.0, 226.0]], ('9.75', 0.995761513710022)], [[[166.0, 213.0], [336.0, 210.0], [336.0, 234.0], [167.0, 237.0]], ('S.Camarones', 0.988425076007843)], [[[552.0, 227.0], [618.0, 227.0], [618.0, 256.0], [552.0, 256.0]], ('2.75', 0.9972588419914246)], [[[39.0, 249.0], [50.0, 249.0], [50.0, 265.0], [39.0, 265.0]], ('7', 0.5172110795974731)], [[[135.0, 241.0], [223.0, 238.0], [225.0, 265.0], [136.0, 269.0]], ("IZZE'S", 0.959419310092926)], [[[549.0, 287.0], [627.0, 284.0], [628.0, 312.0], [550.0, 316.0]], ('12.50', 0.997700035572052)], [[[159.0, 298.0], [290.0, 294.0], [291.0, 322.0], [160.0, 327.0]], ('Sub Total', 0.9277030229568481)], [[[566.0, 319.0], [632.0, 315.0], [634.0, 344.0], [568.0, 348.0]], ('1.07', 0.9988101720809937)], [[[156.0, 330.0], [295.0, 327.0], [295.0, 355.0], [157.0, 358.0]], ('Sa les Tax', 0.9069539904594421)], [[[455.0, 354.0], [601.0, 350.0], [602.0, 378.0], [456.0, 383.0]], ('13.57', 0.9980077743530273)], [[[20.0, 364.0], [166.0, 362.0], [167.0, 392.0], [20.0, 394.0]], ('TOTAL', 0.9979315996170044)], [[[166.0, 430.0], [451.0, 420.0], [452.0, 451.0], [167.0, 460.0]], ('THANK YOU', 0.9426431655883789)], [[[225.0, 466.0], [389.0, 464.0], [389.0, 493.0], [226.0, 495.0]], ('Jesus', 0.9915237426757812)], [[[3.0, 547.0], [255.0, 541.0], [255.0, 576.0], [4.0, 581.0]], ('ABLE12', 0.9930413365364075)], [[[3.0, 613.0], [109.0, 613.0], [109.0, 627.0], [3.0, 627.0]], ('DFA PICTURES', 0.9587087035179138)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "8/1/2011", "time": "6:23:13PM", "subtotal": "12.50", "tax": "1.07", "total": "13.57", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "S.Camarones", "item_value": "9.75", "item_quantity": "1"}, {"item_key": "", "item_name": "IZZE'S", "item_value": "2.75", "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	[[[[120.0, 67.0], [218.0, 59.0], [219.0, 73.0], [121.0, 80.0]], ('Placent la Car Nash', 0.8928585052490234)], [[[132.0, 78.0], [207.0, 73.0], [208.0, 87.0], [133.0, 92.0]], ('600 North Rose', 0.9412335157394409)], [[[137.0, 90.0], [202.0, 85.0], [203.0, 98.0], [138.0, 104.0]], ('000-000-0000', 0.9720099568367004)], [[[144.0, 114.0], [188.0, 109.0], [189.0, 123.0], [145.0, 128.0]], ('Car#304', 0.9454122185707092)], [[[179.0, 133.0], [265.0, 124.0], [266.0, 138.0], [181.0, 147.0]], ('05/27/16.03:36PH', 0.8703268766403198)], [[[70.0, 144.0], [119.0, 139.0], [120.0, 153.0], [71.0, 158.0]], ('Greeterl,', 0.9049417972564697)], [[[178.0, 144.0], [264.0, 135.0], [265.0, 149.0], [180.0, 158.0]], ('Sale#30501112837', 0.9460066556930542)], [[[72.0, 155.0], [117.0, 151.0], [118.0, 165.0], [73.0, 168.0]], ('Shift 1,', 0.8450998067855835)], [[[129.0, 171.0], [210.0, 161.0], [211.0, 173.0], [131.0, 183.0]], ('NOT A RECEIPT', 0.9336050748825073)], [[[231.0, 179.0], [257.0, 175.0], [259.0, 187.0], [233.0, 191.0]], ('20.99', 0.9797109365463257)], [[[108.0, 193.0], [177.0, 185.0], [178.0, 199.0], [110.0, 207.0]], ('1VIP Package', 0.9249333739280701)], [[[233.0, 188.0], [256.0, 186.0], [257.0, 197.0], [234.0, 200.0]], ('2.00', 0.9956623315811157)], [[[110.0, 205.0], [191.0, 193.0], [192.0, 204.0], [112.0, 216.0]], ('12 Medm Charge', 0.8408107757568359)], [[[172.0, 213.0], [208.0, 208.0], [209.0, 219.0], [173.0, 224.0]], ('Sbtetal', 0.909858763217926)], [[[230.0, 206.0], [255.0, 203.0], [256.0, 215.0], [231.0, 218.0]], ('22.99', 0.9657108187675476)], [[[169.0, 223.0], [208.0, 218.0], [209.0, 229.0], [170.0, 234.0]], ('Sales Tax', 0.8603640794754028)], [[[230.0, 223.0], [254.0, 223.0], [254.0, 235.0], [230.0, 235.0]], ('22.99', 0.9779014587402344)], [[[231.0, 216.0], [254.0, 213.0], [255.0, 224.0], [232.0, 227.0]], ('0.00', 0.9847382307052612)], [[[181.0, 227.0], [209.0, 227.0], [209.0, 238.0], [181.0, 238.0]], ('"Total', 0.8952654004096985)], [[[160.0, 240.0], [209.0, 234.0], [210.0, 245.0], [161.0, 250.0]], ('Balance Da', 0.8079570531845093)], [[[230.0, 231.0], [255.0, 231.0], [255.0, 242.0], [230.0, 242.0]], ('22.99', 0.9759689569473267)]]	{"store_name": "PlacentiaCarWash", "store_addr": "600NorthRose", "telephone": "000-000-0000", "date": "05/27/16.", "time": "03:36PM", "subtotal": "22.99", "tax": "0.00", "total": "22.99 22.99", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "VIPPackage", "item_value": "2.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "20.99", "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	[[[[515.0, 6.0], [686.0, 36.0], [682.0, 61.0], [510.0, 31.0]], ('PRECI', 0.9418700337409973)], [[[575.0, 39.0], [741.0, 72.0], [721.0, 169.0], [555.0, 136.0]], ('wai', 0.8983972668647766)], [[[292.0, 136.0], [445.0, 135.0], [445.0, 154.0], [292.0, 155.0]], ('BEIJING EXPRESS', 0.9586198925971985)], [[[578.0, 143.0], [746.0, 171.0], [742.0, 193.0], [574.0, 165.0]], ('TIONOOOK', 0.5180404782295227)], [[[256.0, 154.0], [482.0, 152.0], [483.0, 174.0], [256.0, 176.0]], ('5203 FREDERICKSBURG RD', 0.9534793496131897)], [[[259.0, 174.0], [478.0, 172.0], [478.0, 194.0], [259.0, 196.0]], ('SAN ANTONIOTX78229', 0.931320071220398)], [[[306.0, 194.0], [432.0, 190.0], [433.0, 212.0], [306.0, 216.0]], ('210-377-4220', 0.9876646399497986)], [[[205.0, 236.0], [309.0, 232.0], [310.0, 254.0], [206.0, 258.0]], ('02/18/2017', 0.9978758692741394)], [[[452.0, 230.0], [536.0, 230.0], [536.0, 252.0], [452.0, 252.0]], ('15:23:45', 0.9361773729324341)], [[[205.0, 256.0], [327.0, 253.0], [327.0, 276.0], [206.0, 279.0]], ('Merchant ID:', 0.9440643787384033)], [[[411.0, 250.0], [536.0, 250.0], [536.0, 272.0], [411.0, 272.0]], ('888*******', 0.8547685742378235)], [[[205.0, 277.0], [308.0, 274.0], [309.0, 296.0], [206.0, 299.0]], ('Device ID:', 0.9335878491401672)], [[[492.0, 270.0], [537.0, 270.0], [537.0, 293.0], [492.0, 293.0]], ('1816', 0.9974628686904907)], [[[206.0, 299.0], [328.0, 295.0], [328.0, 316.0], [207.0, 321.0]], ('Terminal ID:', 0.9353700280189514)], [[[471.0, 290.0], [536.0, 290.0], [536.0, 316.0], [471.0, 316.0]], ('PPX11.', 0.9378320574760437)], [[[210.0, 338.0], [445.0, 333.0], [445.0, 355.0], [210.0, 360.0]], ('CreditSale:', 0.9795102477073669)], [[[211.0, 377.0], [350.0, 376.0], [351.0, 399.0], [211.0, 400.0]], ('Transaction #:', 0.9455652832984924)], [[[511.0, 371.0], [536.0, 371.0], [536.0, 395.0], [511.0, 395.0]], ('11', 0.9958384037017822)], [[[211.0, 398.0], [313.0, 396.0], [313.0, 418.0], [211.0, 420.0]], ('Card Type:', 0.8636965751647949)], [[[431.0, 394.0], [536.0, 394.0], [536.0, 416.0], [431.0, 416.0]], ('MasterCard', 0.9972006678581238)], [[[214.0, 416.0], [294.0, 419.0], [294.0, 441.0], [213.0, 438.0]], ('Account:', 0.9887009859085083)], [[[373.0, 412.0], [536.0, 412.0], [536.0, 433.0], [373.0, 433.0]], ('....****...0447', 0.7383360862731934)], [[[214.0, 438.0], [276.0, 438.0], [276.0, 459.0], [214.0, 459.0]], ('Entry:', 0.9387174248695374)], [[[492.0, 430.0], [538.0, 434.0], [535.0, 458.0], [489.0, 454.0]], ('Chip', 0.9643211364746094)], [[[218.0, 476.0], [348.0, 476.0], [348.0, 498.0], [218.0, 498.0]], ('Amount:', 0.94293212890625)], [[[413.0, 472.0], [536.0, 470.0], [536.0, 493.0], [414.0, 495.0]], ('$10.23', 0.991115152835846)], [[[215.0, 514.0], [267.0, 514.0], [267.0, 538.0], [215.0, 538.0]], ('TIP1:', 0.8867663145065308)], [[[413.0, 514.0], [427.0, 514.0], [427.0, 531.0], [413.0, 531.0]], ('$', 0.7595790028572083)], [[[217.0, 551.0], [330.0, 551.0], [330.0, 576.0], [217.0, 576.0]], ('Total:', 0.972155749797821)], [[[297.0, 571.0], [319.0, 571.0], [319.0, 591.0], [297.0, 591.0]], ('$', 0.9556516408920288)], [[[217.0, 609.0], [270.0, 609.0], [270.0, 633.0], [217.0, 633.0]], ('STAN:', 0.9904259443283081)], [[[503.0, 607.0], [536.0, 607.0], [536.0, 629.0], [503.0, 629.0]], ('011', 0.9962083697319031)], [[[217.0, 630.0], [327.0, 628.0], [327.0, 650.0], [218.0, 652.0]], ('Auth.Code', 0.9784970879554749)], [[[472.0, 627.0], [536.0, 625.0], [537.0, 647.0], [473.0, 649.0]], ('018052', 0.9254667162895203)], [[[221.0, 652.0], [307.0, 652.0], [307.0, 671.0], [221.0, 671.0]], ('Response:', 0.9631219506263733)], [[[457.0, 647.0], [536.0, 647.0], [536.0, 666.0], [457.0, 666.0]], ('AUTH/TKT', 0.9939849376678467)], [[[221.0, 669.0], [308.0, 669.0], [308.0, 691.0], [221.0, 691.0]], ('TRANS ID:', 0.9302228093147278)], [[[387.0, 668.0], [518.0, 668.0], [518.0, 689.0], [387.0, 689.0]], ('MCWO8RNU50218', 0.9630857706069946)], [[[221.0, 709.0], [270.0, 709.0], [270.0, 729.0], [221.0, 729.0]], ('Mode:', 0.978971004486084)], [[[477.0, 704.0], [539.0, 709.0], [537.0, 732.0], [475.0, 727.0]], ('Issuer', 0.9978940486907959)], [[[400.0, 727.0], [538.0, 727.0], [538.0, 745.0], [400.0, 745.0]], ('A0000000041010', 0.9922528266906738)], [[[223.0, 747.0], [259.0, 747.0], [259.0, 768.0], [223.0, 768.0]], ('TVR:', 0.9002989530563354)], [[[438.0, 747.0], [538.0, 747.0], [538.0, 765.0], [438.0, 765.0]], ('0000008000', 0.9908889532089233)], [[[224.0, 764.0], [260.0, 764.0], [260.0, 789.0], [224.0, 789.0]], ('IAD:', 0.9760172963142395)], [[[379.0, 766.0], [540.0, 766.0], [540.0, 786.0], [379.0, 786.0]], ('0610607001220000', 0.9934669137001038)], [[[222.0, 783.0], [260.0, 783.0], [260.0, 809.0], [222.0, 809.0]], ('TSI:', 0.935608983039856)], [[[499.0, 784.0], [541.0, 784.0], [541.0, 807.0], [499.0, 807.0]], ('E800', 0.9950278997421265)], [[[91.0, 804.0], [197.0, 872.0], [182.0, 894.0], [77.0, 826.0]], ('COOKING', 0.9968660473823547)], [[[222.0, 804.0], [260.0, 804.0], [260.0, 829.0], [222.0, 829.0]], ('ARC:', 0.9803436398506165)], [[[517.0, 805.0], [542.0, 805.0], [542.0, 828.0], [517.0, 828.0]], ('00', 0.9912221431732178)], [[[316.0, 845.0], [445.0, 845.0], [445.0, 867.0], [316.0, 867.0]], ('CUSTOMER COPY', 0.9614821672439575)], [[[244.0, 900.0], [521.0, 899.0], [521.0, 920.0], [244.0, 921.0]], ('Thank You! Please come again', 0.9254611730575562)], [[[91.0, 940.0], [154.0, 981.0], [139.0, 999.0], [76.0, 964.0]], ('Time', 0.9925734400749207)]]	{"store_name": "BEIJINGEXPRESS", "store_addr": "5203FREDERICKSBURGRD", "telephone": "210-377-4220", "date": "02/18/2017", "time": "15:23:45", "subtotal": "$10.23", "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	[[[[171.0, 2.0], [342.0, 1.0], [342.0, 15.0], [171.0, 16.0]], ('LOS ANGELES,CA90036', 0.9398623108863831)], [[[197.0, 21.0], [315.0, 21.0], [315.0, 35.0], [197.0, 35.0]], ('PH.323.655.6205', 0.9623487591743469)], [[[196.0, 40.0], [318.0, 40.0], [318.0, 54.0], [196.0, 54.0]], ('FAX323.655.6206', 0.9708136320114136)], [[[111.0, 72.0], [400.0, 71.0], [400.0, 88.0], [112.0, 89.0]], ('Dissent Is The Highest Form Of Patriotism', 0.9547010064125061)], [[[159.0, 94.0], [354.0, 92.0], [354.0, 109.0], [159.0, 111.0]], ('www.supremenewyork.com', 0.9952967166900635)], [[[270.0, 113.0], [336.0, 113.0], [336.0, 130.0], [270.0, 130.0]], ('Receipt #', 0.9553293585777283)], [[[380.0, 112.0], [423.0, 112.0], [423.0, 127.0], [380.0, 127.0]], ('60648', 0.9920976758003235)], [[[88.0, 134.0], [150.0, 134.0], [150.0, 151.0], [88.0, 151.0]], ('3/3/2018', 0.9971423149108887)], [[[297.0, 131.0], [336.0, 133.0], [335.0, 149.0], [296.0, 147.0]], ('Store:', 0.9728164076805115)], [[[388.0, 129.0], [425.0, 129.0], [425.0, 147.0], [388.0, 147.0]], ('002A', 0.9906978607177734)], [[[88.0, 153.0], [159.0, 153.0], [159.0, 167.0], [88.0, 167.0]], ('Assocval', 0.9763643741607666)], [[[281.0, 149.0], [337.0, 149.0], [337.0, 166.0], [281.0, 166.0]], ('Cashier', 0.9938710331916809)], [[[403.0, 150.0], [425.0, 147.0], [427.0, 163.0], [405.0, 166.0]], ('val', 0.9913634657859802)], [[[101.0, 233.0], [143.0, 233.0], [143.0, 248.0], [101.0, 248.0]], ('ITEM#', 0.9678336977958679)], [[[234.0, 231.0], [262.0, 231.0], [262.0, 247.0], [234.0, 247.0]], ('QTY', 0.9888157844543457)], [[[286.0, 231.0], [329.0, 231.0], [329.0, 246.0], [286.0, 246.0]], ('PRICE', 0.9953432083129883)], [[[351.0, 229.0], [424.0, 227.0], [425.0, 244.0], [352.0, 246.0]], ('EXTPRICE', 0.9895620346069336)], [[[95.0, 256.0], [194.0, 254.0], [195.0, 271.0], [95.0, 273.0]], ('52975WHITE', 0.983307957649231)], [[[243.0, 257.0], [256.0, 257.0], [256.0, 271.0], [243.0, 271.0]], ('1', 0.9625600576400757)], [[[287.0, 254.0], [330.0, 254.0], [330.0, 272.0], [287.0, 272.0]], ('12.00', 0.9945387840270996)], [[[386.0, 253.0], [427.0, 250.0], [429.0, 269.0], [388.0, 272.0]], ('12.00', 0.9969018697738647)], [[[83.0, 272.0], [223.0, 271.0], [223.0, 288.0], [83.0, 289.0]], ('GRIP WORK GLOVES', 0.9427775144577026)], [[[243.0, 272.0], [268.0, 272.0], [268.0, 288.0], [243.0, 288.0]], ('SO', 0.5588837265968323)], [[[92.0, 297.0], [177.0, 296.0], [178.0, 314.0], [92.0, 315.0]], ('52987 TAN', 0.9439213275909424)], [[[241.0, 300.0], [253.0, 296.0], [258.0, 311.0], [246.0, 315.0]], ('1', 0.9702339768409729)], [[[279.0, 298.0], [329.0, 295.0], [330.0, 313.0], [280.0, 316.0]], ('158.00', 0.9925056099891663)], [[[378.0, 296.0], [430.0, 293.0], [431.0, 311.0], [379.0, 314.0]], ('158.00', 0.9911701083183289)], [[[83.0, 315.0], [158.0, 315.0], [158.0, 329.0], [83.0, 329.0]], ('BACKPACK', 0.995288610458374)], [[[243.0, 313.0], [266.0, 313.0], [266.0, 329.0], [243.0, 329.0]], ('so', 0.7441021203994751)], [[[92.0, 341.0], [195.0, 338.0], [196.0, 355.0], [92.0, 358.0]], ('52996 BLACK', 0.9545568227767944)], [[[244.0, 339.0], [256.0, 339.0], [256.0, 354.0], [244.0, 354.0]], ('1', 0.9885972142219543)], [[[289.0, 339.0], [330.0, 339.0], [330.0, 354.0], [289.0, 354.0]], ('54.00', 0.9947267770767212)], [[[390.0, 335.0], [432.0, 335.0], [432.0, 353.0], [390.0, 353.0]], ('54.00', 0.9964355230331421)], [[[81.0, 358.0], [191.0, 356.0], [192.0, 370.0], [81.0, 373.0]], ('SHOULDER BAG', 0.9473676681518555)], [[[244.0, 355.0], [267.0, 355.0], [267.0, 371.0], [244.0, 371.0]], ('OS', 0.7452001571655273)], [[[91.0, 384.0], [194.0, 380.0], [195.0, 397.0], [91.0, 401.0]], ('53273WHITE', 0.9705260396003723)], [[[244.0, 381.0], [256.0, 381.0], [256.0, 395.0], [244.0, 395.0]], ('1', 0.9892880916595459)], [[[289.0, 379.0], [332.0, 379.0], [332.0, 397.0], [289.0, 397.0]], ('16.00', 0.9942291975021362)], [[[390.0, 378.0], [434.0, 375.0], [435.0, 393.0], [391.0, 396.0]], ('16.00', 0.9789282083511353)], [[[78.0, 400.0], [266.0, 396.0], [267.0, 413.0], [78.0, 417.0]], ('WILSON TENNIS BALLOS', 0.9124552607536316)], [[[90.0, 428.0], [204.0, 424.0], [204.0, 440.0], [90.0, 444.0]], ('53294 BROWN', 0.9395827651023865)], [[[244.0, 426.0], [256.0, 426.0], [256.0, 440.0], [244.0, 440.0]], ('1', 0.9856114387512207)], [[[290.0, 423.0], [333.0, 423.0], [333.0, 442.0], [290.0, 442.0]], ('3200', 0.9970076084136963)], [[[393.0, 421.0], [436.0, 421.0], [436.0, 439.0], [393.0, 439.0]], ('32.00', 0.9958483576774597)], [[[79.0, 445.0], [266.0, 440.0], [267.0, 456.0], [79.0, 460.0]], ('RUBBERPATCH BEANIE OS', 0.9401063323020935)], [[[89.0, 472.0], [194.0, 468.0], [195.0, 485.0], [89.0, 489.0]], ('55701 BLACK', 0.9497688412666321)], [[[245.0, 471.0], [254.0, 471.0], [254.0, 482.0], [245.0, 482.0]], ('1', 0.9890897870063782)], [[[290.0, 467.0], [334.0, 467.0], [334.0, 485.0], [290.0, 485.0]], ('48.00', 0.9859207272529602)], [[[395.0, 465.0], [438.0, 465.0], [438.0, 484.0], [395.0, 484.0]], ('48.00', 0.9968866109848022)], [[[76.0, 489.0], [267.0, 486.0], [268.0, 503.0], [76.0, 506.0]], ('COATED LINEN CAMP C OS', 0.9139689803123474)], [[[164.0, 518.0], [232.0, 518.0], [232.0, 535.0], [164.0, 535.0]], ('6 Unit(s)', 0.8186378479003906)], [[[267.0, 516.0], [331.0, 516.0], [331.0, 534.0], [267.0, 534.0]], ('Subtotal:', 0.9788327813148499)], [[[390.0, 514.0], [443.0, 514.0], [443.0, 532.0], [390.0, 532.0]], ('320.00', 0.9970958232879639)], [[[232.0, 543.0], [332.0, 541.0], [333.0, 558.0], [232.0, 560.0]], ('9.500% Tax', 0.9628152847290039)], [[[400.0, 539.0], [444.0, 539.0], [444.0, 558.0], [400.0, 558.0]], ('30.40', 0.9967305064201355)], [[[199.0, 569.0], [334.0, 567.0], [335.0, 585.0], [200.0, 587.0]], ('RECEIPT TOTAL:', 0.9667176604270935)], [[[392.0, 566.0], [445.0, 566.0], [445.0, 584.0], [392.0, 584.0]], ('350.40', 0.9970973134040833)], [[[294.0, 611.0], [337.0, 611.0], [337.0, 630.0], [294.0, 630.0]], ('Tend.', 0.9641700983047485)], [[[394.0, 609.0], [447.0, 609.0], [447.0, 627.0], [394.0, 627.0]], ('350.40', 0.9941299557685852)], [[[102.0, 640.0], [270.0, 637.0], [271.0, 654.0], [102.0, 657.0]], ('CrCard:350.40 VISA', 0.934758722782135)], [[[107.0, 667.0], [224.0, 665.0], [224.0, 683.0], [108.0, 685.0]], ('Auth#.085223', 0.9489398002624512)], [[[252.0, 690.0], [293.0, 690.0], [293.0, 712.0], [252.0, 712.0]], ('1834', 0.9981480240821838)], [[[207.0, 753.0], [318.0, 753.0], [318.0, 777.0], [207.0, 777.0]], ('Store Policy', 0.9654080271720886)]]	{"store_name": "", "store_addr": "LOSANGELES.CA90036", "telephone": "PH.323.655.6205", "date": "3/3/2018", "time": "", "subtotal": "320.00", "tax": "30.40", "total": "350.40 350.40", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "GRIPWORKGLOVES", "item_value": "48.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BACKPACK", "item_value": "32.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SHOULDERBAG", "item_value": "16.00", "item_quantity": "1"}, {"item_key": "", "item_name": "RUBBERPATCHBEANIE", "item_value": "54.00", "item_quantity": "1"}, {"item_key": "", "item_name": "COATEDLINENCAMPC,", "item_value": "158.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "12.00", "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	[[[[146.0, 1.0], [320.0, 1.0], [320.0, 11.0], [146.0, 11.0]], ('YOUR ORDER NUMBER IS', 0.9437786340713501)], [[[215.0, 13.0], [251.0, 13.0], [251.0, 24.0], [215.0, 24.0]], ('2176', 0.9965821504592896)], [[[164.0, 26.0], [278.0, 26.0], [278.0, 33.0], [164.0, 33.0]], ('', 0.514484167098999)], [[[197.0, 35.0], [267.0, 35.0], [267.0, 46.0], [197.0, 46.0]], ('KFC Cape H1 DT', 0.8962815403938293)], [[[184.0, 46.0], [277.0, 46.0], [277.0, 59.0], [184.0, 59.0]], ('Cape Hill Retal Park', 0.8619219660758972)], [[[192.0, 57.0], [273.0, 57.0], [273.0, 70.0], [192.0, 70.0]], ('Cape H1.8684PH', 0.7122229337692261)], [[[201.0, 68.0], [259.0, 68.0], [259.0, 79.0], [201.0, 79.0]], ('01215558951', 0.9214622974395752)], [[[201.0, 88.0], [303.0, 89.0], [303.0, 99.0], [201.0, 98.0]], ('********', 0.5675371289253235)], [[[217.0, 79.0], [242.0, 79.0], [242.0, 90.0], [217.0, 90.0]], ('D2407', 0.8720766305923462)], [[[179.0, 96.0], [283.0, 97.0], [283.0, 112.0], [179.0, 110.0]], ('RECEIPT CODE', 0.9545217156410217)], [[[173.0, 108.0], [291.0, 108.0], [291.0, 122.0], [173.0, 122.0]], ('24071205172176', 0.9951011538505554)], [[[153.0, 130.0], [192.0, 130.0], [192.0, 141.0], [153.0, 141.0]], ('2017-12-05', 0.9826140403747559)], [[[155.0, 122.0], [313.0, 122.0], [313.0, 129.0], [155.0, 129.0]], ('*****', 0.6441433429718018)], [[[283.0, 131.0], [317.0, 131.0], [317.0, 142.0], [283.0, 142.0]], ('9:06PM', 0.790683925151825)], [[[196.0, 141.0], [262.0, 140.0], [262.0, 151.0], [196.0, 152.0]], ('240721292176', 0.992920458316803)], [[[151.0, 162.0], [249.0, 162.0], [249.0, 172.0], [151.0, 172.0]], ('Cashier:Shantina 715872', 0.9225738644599915)], [[[152.0, 172.0], [206.0, 172.0], [206.0, 183.0], [152.0, 183.0]], ('TRANS2176', 0.978220522403717)], [[[161.0, 192.0], [193.0, 192.0], [193.0, 203.0], [161.0, 203.0]], ('SHARING', 0.9960736036300659)], [[[291.0, 192.0], [315.0, 192.0], [315.0, 203.0], [291.0, 203.0]], ('15.99', 0.9629052877426147)], [[[165.0, 203.0], [225.0, 203.0], [225.0, 213.0], [165.0, 213.0]], ('10FAM FST O/R', 0.8954541683197021)], [[[164.0, 213.0], [216.0, 213.0], [216.0, 224.0], [164.0, 224.0]], ('LG COLESLAN', 0.7675988674163818)], [[[164.0, 223.0], [206.0, 223.0], [206.0, 234.0], [164.0, 234.0]], ('LG GRAUY', 0.8636286854743958)], [[[165.0, 233.0], [220.0, 233.0], [220.0, 243.0], [165.0, 243.0]], ('PEPSI BOTTLES', 0.8829209804534912)], [[[148.0, 251.0], [166.0, 251.0], [166.0, 263.0], [148.0, 263.0]], ('UAT', 0.9129040837287903)], [[[291.0, 251.0], [313.0, 251.0], [313.0, 263.0], [291.0, 263.0]], ('21', 0.6494213342666626)], [[[146.0, 263.0], [171.0, 260.0], [172.0, 272.0], [148.0, 275.0]], ('TOGO', 0.7472637891769409)], [[[285.0, 262.0], [313.0, 262.0], [313.0, 273.0], [285.0, 273.0]], ('15.99', 0.9889063835144043)], [[[148.0, 281.0], [220.0, 281.0], [220.0, 291.0], [148.0, 291.0]], ('CREDIT/DEBIT CARO', 0.9102550148963928)], [[[285.0, 281.0], [313.0, 281.0], [313.0, 294.0], [285.0, 294.0]], ('15.99', 0.9144657850265503)], [[[148.0, 291.0], [176.0, 291.0], [176.0, 302.0], [148.0, 302.0]], ('Change', 0.9676768183708191)], [[[286.0, 292.0], [310.0, 289.0], [312.0, 301.0], [287.0, 304.0]], ('0.00', 0.9353537559509277)], [[[178.0, 307.0], [277.0, 305.0], [277.0, 319.0], [178.0, 322.0]], ('ATNR974779546', 0.8100420236587524)], [[[181.0, 341.0], [306.0, 334.0], [307.0, 344.0], [181.0, 351.0]], ('', 0.5417154431343079)], [[[159.0, 352.0], [294.0, 343.0], [295.0, 356.0], [160.0, 365.0]], ('Received an ezail atout a surve', 0.871558666229248)], [[[147.0, 364.0], [303.0, 353.0], [304.0, 366.0], [148.0, 377.0]], ('It you havent. folle the steps beio.', 0.8202943801879883)], [[[155.0, 374.0], [302.0, 363.0], [303.0, 376.0], [156.0, 387.0]], ('Complete our survey tor 1St aff your', 0.8034246563911438)], [[[153.0, 385.0], [303.0, 372.0], [304.0, 386.0], [154.0, 399.0]], ('next purchase 5 n spend reured', 0.8643874526023865)], [[[151.0, 397.0], [309.0, 383.0], [310.0, 394.0], [152.0, 408.0]], ('******************', 0.6093131899833679)], [[[150.0, 408.0], [312.0, 393.0], [313.0, 406.0], [151.0, 421.0]], ('1.Uisit w.YorKFC.co.k in next 3 days', 0.7719458937644958)], [[[153.0, 419.0], [304.0, 404.0], [306.0, 418.0], [155.0, 433.0]], ('2.Cospiete survey and rte code nere', 0.8761822581291199)], [[[157.0, 430.0], [301.0, 415.0], [303.0, 428.0], [159.0, 443.0]], ('3.Hand receipt to cashier to clal', 0.9098074436187744)]]	{"store_name": "KFCCapeHillDT", "store_addr": "CapeHillRetailPark CapeHill,B664FH", "telephone": "01215558951", "date": "2017-12-05", "time": "9:06PM", "subtotal": "", "tax": "2.47", "total": "\u00a315.99", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "SHARING", "item_value": "15.99", "item_quantity": "1"}, {"item_key": "", "item_name": "10FAMFSTO/R", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "LGGRAVY#", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "PEPSIBOTTLE#", "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	[[[[83.0, 74.0], [190.0, 66.0], [191.0, 81.0], [84.0, 89.0]], ('Dreamland Aqua Park', 0.9431295990943909)], [[[105.0, 86.0], [174.0, 81.0], [175.0, 98.0], [106.0, 103.0]], ('P.O.Box 655', 0.7920236587524414)], [[[101.0, 101.0], [175.0, 97.0], [175.0, 111.0], [102.0, 115.0]], ('U A1-Quwain', 0.8483567833900452)], [[[84.0, 114.0], [198.0, 110.0], [198.0, 126.0], [85.0, 130.0]], ('ited Arab Emirates', 0.9395539164543152)], [[[87.0, 129.0], [198.0, 124.0], [198.0, 138.0], [87.0, 143.0]], ('Te+97167681888', 0.9321060180664062)], [[[167.0, 139.0], [260.0, 134.0], [261.0, 149.0], [168.0, 154.0]], ('Trans.No.46729', 0.9649083018302917)], [[[43.0, 167.0], [86.0, 164.0], [86.0, 180.0], [44.0, 182.0]], ('QTYPLU', 0.9271060824394226)], [[[113.0, 166.0], [177.0, 166.0], [177.0, 180.0], [113.0, 180.0]], ('DESCRIPTION', 0.9964699149131775)], [[[224.0, 164.0], [260.0, 164.0], [260.0, 178.0], [224.0, 178.0]], ('AMOUNT', 0.9954317212104797)], [[[48.0, 181.0], [91.0, 181.0], [91.0, 192.0], [48.0, 192.0]], ('110210503', 0.9807672500610352)], [[[113.0, 180.0], [166.0, 180.0], [166.0, 191.0], [113.0, 191.0]], ('Fanta Orange', 0.8946361541748047)], [[[229.0, 177.0], [253.0, 177.0], [253.0, 189.0], [229.0, 189.0]], ('10.00', 0.9934428334236145)], [[[48.0, 192.0], [92.0, 192.0], [92.0, 206.0], [48.0, 206.0]], ('110215309', 0.9503185749053955)], [[[112.0, 191.0], [212.0, 191.0], [212.0, 204.0], [112.0, 204.0]], ('Chicken Nuggets & Fries', 0.9367826581001282)], [[[229.0, 190.0], [253.0, 190.0], [253.0, 202.0], [229.0, 202.0]], ('30.00', 0.988620936870575)], [[[47.0, 206.0], [92.0, 206.0], [92.0, 220.0], [47.0, 220.0]], ('110215404', 0.9753506183624268)], [[[112.0, 205.0], [195.0, 205.0], [195.0, 218.0], [112.0, 218.0]], ('8r11led Fish Fillet', 0.7632400393486023)], [[[229.0, 203.0], [254.0, 203.0], [254.0, 215.0], [229.0, 215.0]], ('45.00', 0.992568850517273)], [[[114.0, 233.0], [144.0, 233.0], [144.0, 248.0], [114.0, 248.0]], ('TOTAL', 0.9717162847518921)], [[[231.0, 231.0], [264.0, 231.0], [264.0, 245.0], [231.0, 245.0]], ('85.00', 0.9950597882270813)], [[[112.0, 246.0], [142.0, 246.0], [142.0, 260.0], [112.0, 260.0]], ('MAST', 0.9926725625991821)], [[[231.0, 245.0], [264.0, 245.0], [264.0, 259.0], [231.0, 259.0]], ('85.00', 0.9953716397285461)], [[[112.0, 271.0], [150.0, 271.0], [150.0, 285.0], [112.0, 285.0]], ('CHANGE', 0.9977009296417236)], [[[238.0, 271.0], [266.0, 271.0], [266.0, 286.0], [238.0, 286.0]], ('0.00', 0.99390709400177)], [[[33.0, 313.0], [232.0, 313.0], [232.0, 326.0], [33.0, 326.0]], ('TIME:16:15DATE:24/04/2014101:046729107', 0.9291499257087708)], [[[89.0, 329.0], [184.0, 329.0], [184.0, 343.0], [89.0, 343.0]], ('www.dreaalanduae.con', 0.891806423664093)]]	{"store_name": "DreamlandAquaPark", "store_addr": "P.O.Box655 UmmAl-Quwain", "telephone": "(+971)67681888", "date": "24/04/2014", "time": "16:15", "subtotal": "", "tax": "", "total": "85.00 85.00", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "FantaOrange", "item_value": "10.00", "item_quantity": "1"}, {"item_key": "", "item_name": "ChickenNuggets&Fries", "item_value": "30.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BrilledFishFillet", "item_value": "45.00", "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	[[[[483.0, 67.0], [726.0, 61.0], [727.0, 114.0], [484.0, 119.0]], ('TARGET', 0.9954289793968201)], [[[506.0, 117.0], [720.0, 117.0], [720.0, 139.0], [506.0, 139.0]], ('EXPECT MOREPAY LESS', 0.9324062466621399)], [[[358.0, 170.0], [786.0, 170.0], [786.0, 199.0], [358.0, 199.0]], ('HOUSTONCENTRAL-713-331-0376', 0.9735821485519409)], [[[317.0, 189.0], [840.0, 192.0], [840.0, 226.0], [316.0, 223.0]], ('06/11/201609:43 AM EXPIRES 09/09/16', 0.9358183741569519)], [[[256.0, 314.0], [362.0, 318.0], [361.0, 349.0], [255.0, 345.0]], ('GROCERY', 0.9974433183670044)], [[[255.0, 341.0], [392.0, 347.0], [390.0, 376.0], [253.0, 370.0]], ('211140134', 0.9971455335617065)], [[[483.0, 350.0], [596.0, 350.0], [596.0, 374.0], [483.0, 374.0]], ('VEG TRAY', 0.9287031888961792)], [[[676.0, 350.0], [720.0, 350.0], [720.0, 377.0], [676.0, 377.0]], ('FN', 0.9926897287368774)], [[[745.0, 349.0], [839.0, 345.0], [840.0, 375.0], [747.0, 380.0]], ('$17.97', 0.9931886792182922)], [[[465.0, 370.0], [640.0, 376.0], [639.0, 405.0], [464.0, 399.0]], ('3$5.99 ea', 0.9523709416389465)], [[[251.0, 389.0], [388.0, 395.0], [387.0, 424.0], [250.0, 418.0]], ('216330100', 0.9980674386024475)], [[[479.0, 396.0], [611.0, 400.0], [610.0, 429.0], [478.0, 425.0]], ('SBHUMMUS', 0.9867534637451172)], [[[676.0, 398.0], [711.0, 398.0], [711.0, 428.0], [676.0, 428.0]], ('FN', 0.9900777339935303)], [[[762.0, 398.0], [800.0, 398.0], [800.0, 425.0], [762.0, 425.0]], ('$2', 0.9953758716583252)], [[[802.0, 394.0], [838.0, 394.0], [838.0, 425.0], [802.0, 425.0]], ('99', 0.9971922636032104)], [[[253.0, 414.0], [385.0, 422.0], [383.0, 448.0], [252.0, 440.0]], ('216330102', 0.9985077977180481)], [[[480.0, 423.0], [610.0, 423.0], [610.0, 452.0], [480.0, 452.0]], ('SBHUMMUS', 0.9823932647705078)], [[[673.0, 422.0], [713.0, 422.0], [713.0, 481.0], [673.0, 481.0]], ('FN', 0.8897250890731812)], [[[758.0, 417.0], [810.0, 417.0], [810.0, 479.0], [758.0, 479.0]], ('$3.', 0.6637248396873474)], [[[800.0, 417.0], [840.0, 417.0], [840.0, 454.0], [800.0, 454.0]], ('66', 0.9645509123802185)], [[[250.0, 438.0], [387.0, 446.0], [385.0, 475.0], [248.0, 467.0]], ('218011223', 0.9979286193847656)], [[[477.0, 445.0], [611.0, 449.0], [610.0, 478.0], [476.0, 474.0]], ('AF SCONES', 0.9454348087310791)], [[[798.0, 444.0], [838.0, 444.0], [838.0, 473.0], [798.0, 473.0]], ('.58', 0.8601387143135071)], [[[463.0, 471.0], [640.0, 476.0], [639.0, 505.0], [462.0, 500.0]], ('20$3.79 ea', 0.9058119058609009)], [[[248.0, 489.0], [383.0, 495.0], [382.0, 524.0], [246.0, 518.0]], ('266012001', 0.9971634745597839)], [[[473.0, 500.0], [652.0, 502.0], [652.0, 525.0], [473.0, 524.0]], ('3LB CLEMBAG', 0.9544885754585266)], [[[673.0, 498.0], [711.0, 498.0], [711.0, 527.0], [673.0, 527.0]], ('FN', 0.9876700639724731)], [[[744.0, 497.0], [838.0, 494.0], [838.0, 525.0], [745.0, 527.0]], ('$11.98', 0.9966216087341309)], [[[463.0, 520.0], [637.0, 526.0], [636.0, 554.0], [462.0, 549.0]], ('2$5.99ea', 0.9855676293373108)], [[[248.0, 538.0], [381.0, 546.0], [380.0, 575.0], [246.0, 567.0]], ('266034218', 0.9964119791984558)], [[[475.0, 544.0], [647.0, 548.0], [646.0, 577.0], [474.0, 573.0]], ('BLOSSOM HILL', 0.9558386206626892)], [[[676.0, 549.0], [706.0, 549.0], [706.0, 573.0], [676.0, 573.0]], ('FN', 0.9950376749038696)], [[[763.0, 549.0], [796.0, 549.0], [796.0, 578.0], [763.0, 578.0]], ('$2', 0.9986743927001953)], [[[803.0, 547.0], [838.0, 547.0], [838.0, 575.0], [803.0, 575.0]], ('99', 0.997957706451416)], [[[246.0, 564.0], [379.0, 570.0], [378.0, 599.0], [245.0, 593.0]], ('266050107', 0.9958445429801941)], [[[478.0, 575.0], [537.0, 575.0], [537.0, 600.0], [478.0, 600.0]], ('GALA', 0.9290696978569031)], [[[675.0, 571.0], [709.0, 571.0], [709.0, 602.0], [675.0, 602.0]], ('FN', 0.9947681427001953)], [[[762.0, 571.0], [798.0, 571.0], [798.0, 607.0], [762.0, 607.0]], ('$3', 0.9739120006561279)], [[[798.0, 570.0], [840.0, 570.0], [840.0, 605.0], [798.0, 605.0]], ('79', 0.9964625239372253)], [[[245.0, 589.0], [380.0, 597.0], [378.0, 626.0], [243.0, 618.0]], ('266050111', 0.997441291809082)], [[[478.0, 602.0], [650.0, 602.0], [650.0, 626.0], [478.0, 626.0]], ('GRANNY SMITH', 0.9631373286247253)], [[[674.0, 595.0], [708.0, 601.0], [703.0, 630.0], [669.0, 624.0]], ('FN', 0.9952069520950317)], [[[800.0, 597.0], [838.0, 597.0], [838.0, 636.0], [800.0, 636.0]], ('79', 0.9831489324569702)], [[[245.0, 615.0], [376.0, 623.0], [374.0, 652.0], [243.0, 644.0]], ('266090011', 0.995559573173523)], [[[475.0, 622.0], [649.0, 626.0], [648.0, 655.0], [474.0, 651.0]], ('1.5LB GRAPES', 0.956324577331543)], [[[675.0, 627.0], [706.0, 627.0], [706.0, 649.0], [675.0, 649.0]], ('FN', 0.9396554231643677)], [[[802.0, 624.0], [836.0, 624.0], [836.0, 653.0], [802.0, 653.0]], ('98', 0.993837296962738)], [[[458.0, 646.0], [638.0, 651.0], [637.0, 680.0], [457.0, 675.0]], ('2$3.99ea', 0.9933294057846069)], [[[241.0, 666.0], [378.0, 672.0], [376.0, 703.0], [239.0, 697.0]], ('266090012', 0.9975225925445557)], [[[464.0, 677.0], [647.0, 677.0], [647.0, 700.0], [464.0, 700.0]], ('1.5LBGRAPES', 0.9684526324272156)], [[[673.0, 677.0], [704.0, 677.0], [704.0, 699.0], [673.0, 699.0]], ('FN', 0.9668179154396057)], [[[760.0, 673.0], [840.0, 673.0], [840.0, 704.0], [760.0, 704.0]], ('$5.98', 0.9955624341964722)], [[[459.0, 700.0], [635.0, 704.0], [634.0, 728.0], [459.0, 724.0]], ('2@$2.99 ea', 0.9243318438529968)], [[[330.0, 734.0], [419.0, 734.0], [419.0, 762.0], [330.0, 762.0]], ('ell', 0.8559725880622864)], [[[459.0, 726.0], [765.0, 726.0], [765.0, 755.0], [459.0, 755.0]], ('Saved $2.00 off $7.98', 0.9316317439079285)], [[[586.0, 779.0], [702.0, 779.0], [702.0, 808.0], [586.0, 808.0]], ('SUBTOTAL', 0.9964854717254639)], [[[745.0, 775.0], [842.0, 779.0], [840.0, 811.0], [744.0, 807.0]], ('$68.04', 0.9939029216766357)], [[[612.0, 806.0], [708.0, 806.0], [708.0, 835.0], [612.0, 835.0]], ('NO TAX', 0.9276432394981384)], [[[755.0, 806.0], [840.0, 806.0], [840.0, 836.0], [755.0, 836.0]], ('$0.00', 0.9981840252876282)], [[[631.0, 833.0], [706.0, 833.0], [706.0, 859.0], [631.0, 859.0]], ('TOTAL', 0.9984546899795532)], [[[746.0, 833.0], [842.0, 833.0], [842.0, 862.0], [746.0, 862.0]], ('$68.04', 0.9924939274787903)], [[[299.0, 847.0], [515.0, 847.0], [515.0, 875.0], [299.0, 875.0]], ('Hbotamauld', 0.5487948656082153)], [[[454.0, 882.0], [706.0, 886.0], [706.0, 915.0], [454.0, 911.0]], ('*5452 VISA CHARGE', 0.911522388458252)], [[[745.0, 882.0], [842.0, 886.0], [841.0, 917.0], [744.0, 913.0]], ('$68.04', 0.993671715259552)], [[[539.0, 909.0], [842.0, 915.0], [841.0, 944.0], [539.0, 938.0]], ('AID:A0000000031010', 0.9729968309402466)], [[[541.0, 936.0], [704.0, 940.0], [704.0, 969.0], [540.0, 965.0]], ('VISA CREDIT', 0.9543707370758057)], [[[405.0, 989.0], [690.0, 993.0], [690.0, 1024.0], [405.0, 1020.0]], ('INDICATES SAVINGS', 0.9797999262809753)], [[[372.0, 1129.0], [720.0, 1134.0], [719.0, 1165.0], [372.0, 1159.0]], ('TOTAL SAVINGS THIS TRIP', 0.9592632055282593)], [[[518.0, 1163.0], [602.0, 1163.0], [602.0, 1193.0], [518.0, 1193.0]], ('$2.00', 0.9988535642623901)], [[[218.0, 1298.0], [897.0, 1314.0], [897.0, 1354.0], [217.0, 1338.0]], ('REC#2-6163-2093-0078-0375-5 VCD#757-251-644', 0.978053867816925)], [[[263.0, 1397.0], [817.0, 1406.0], [817.0, 1440.0], [262.0, 1431.0]], ('For information regarding the legal', 0.963590681552887)], [[[261.0, 1428.0], [837.0, 1440.0], [836.0, 1474.0], [260.0, 1462.0]], ('disposition and recycling of covered', 0.9727733135223389)], [[[277.0, 1455.0], [819.0, 1471.0], [818.0, 1507.0], [276.0, 1491.0]], ('television equipment (TVs),please', 0.9466118812561035)], [[[305.0, 1487.0], [788.0, 1503.0], [787.0, 1539.0], [304.0, 1523.0]], ('visit www.TexasRecyclesTVs.org', 0.9513458013534546)]]	{"store_name": "TARGET", "store_addr": "", "telephone": "HOUSTONCENTRAL-713-331-0376", "date": "06/11/2016", "time": "09:43AM", "subtotal": "$68.04", "tax": "$0.00", "total": "$68.04", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "VEGTRAY", "item_value": "$17.97", "item_quantity": "1"}, {"item_key": "", "item_name": "SBHUMMUS", "item_value": "$2.99", "item_quantity": "1"}, {"item_key": "", "item_name": "SBHUMMUS", "item_value": "$2.99", "item_quantity": "1"}, {"item_key": "", "item_name": "AFSCONES", "item_value": "$7.58", "item_quantity": "1"}, {"item_key": "", "item_name": "3LBCLEMBAG", "item_value": "$11.98", "item_quantity": "1"}, {"item_key": "", "item_name": "BLOSSOMHILL", "item_value": "$2.99", "item_quantity": "1"}, {"item_key": "", "item_name": "GALA", "item_value": "$3.79", "item_quantity": "1"}, {"item_key": "", "item_name": "GRANNYSMITH", "item_value": "$3.79", "item_quantity": "1"}, {"item_key": "", "item_name": "1.5LBGRAPES", "item_value": "$7.98", "item_quantity": "1"}, {"item_key": "", "item_name": "1.5LBGRAPES", "item_value": "$5.98", "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], [244.0, 8.0], [244.0, 22.0], [84.0, 22.0]], ('AnnAdyA Restaurant & Bar', 0.9536446928977966)], [[[92.0, 24.0], [234.0, 24.0], [234.0, 37.0], [92.0, 37.0]], ('Khmer Autnentic -Western Food', 0.9136234521865845)], [[[100.0, 35.0], [226.0, 36.0], [226.0, 50.0], [100.0, 49.0]], ('Cooking Class-095 799 007', 0.9316757917404175)], [[[57.0, 48.0], [270.0, 49.0], [270.0, 63.0], [56.0, 62.0]], ('Steung Thmey VillageSvay Dangkum Commune', 0.9060069918632507)], [[[111.0, 60.0], [215.0, 61.0], [214.0, 75.0], [111.0, 74.0]], ('Siem Reap-Camboda', 0.9478669166564941)], [[[138.0, 86.0], [187.0, 86.0], [187.0, 100.0], [138.0, 100.0]], ('INVOICE', 0.9980611801147461)], [[[41.0, 110.0], [57.0, 110.0], [57.0, 123.0], [41.0, 123.0]], ('No.', 0.623421311378479)], [[[98.0, 110.0], [134.0, 110.0], [134.0, 126.0], [98.0, 126.0]], ('32261', 0.9988453984260559)], [[[243.0, 110.0], [288.0, 110.0], [288.0, 125.0], [243.0, 125.0]], ('Table:A', 0.9470531344413757)], [[[42.0, 129.0], [115.0, 133.0], [114.0, 147.0], [41.0, 143.0]], ('srPhon Dany', 0.7937712073326111)], [[[187.0, 132.0], [287.0, 132.0], [287.0, 145.0], [187.0, 145.0]], ('Date 01.01/201717:08', 0.8984183073043823)], [[[40.0, 154.0], [117.0, 154.0], [117.0, 167.0], [40.0, 167.0]], ('Customer Other', 0.9266425967216492)], [[[214.0, 155.0], [287.0, 155.0], [287.0, 169.0], [214.0, 169.0]], ('Guest Cover0', 0.92928147315979)], [[[41.0, 180.0], [72.0, 180.0], [72.0, 194.0], [41.0, 194.0]], ('Vame', 0.9510623812675476)], [[[172.0, 178.0], [290.0, 179.0], [290.0, 196.0], [172.0, 195.0]], ('Dis Prico Qty Amt', 0.8475549221038818)], [[[40.0, 202.0], [158.0, 202.0], [158.0, 215.0], [40.0, 215.0]], ('1ANCKOR (BIG BOTTLE', 0.8971419334411621)], [[[200.0, 201.0], [225.0, 201.0], [225.0, 216.0], [200.0, 216.0]], ('3.50', 0.9806198477745056)], [[[239.0, 204.0], [249.0, 204.0], [249.0, 215.0], [239.0, 215.0]], ('2', 0.9959903359413147)], [[[264.0, 202.0], [288.0, 202.0], [288.0, 217.0], [264.0, 217.0]], ('7.00', 0.9932354688644409)], [[[40.0, 225.0], [142.0, 225.0], [142.0, 238.0], [40.0, 238.0]], ('Pineapple Chill Juice', 0.9141541719436646)], [[[198.0, 224.0], [224.0, 224.0], [224.0, 239.0], [198.0, 239.0]], ('1.50', 0.9605892300605774)], [[[239.0, 226.0], [248.0, 226.0], [248.0, 237.0], [239.0, 237.0]], ('2', 0.9941164255142212)], [[[264.0, 225.0], [287.0, 227.0], [285.0, 239.0], [263.0, 237.0]], ('3.00', 0.9786630868911743)], [[[41.0, 246.0], [122.0, 246.0], [122.0, 259.0], [41.0, 259.0]], ('3Pineapple Juice', 0.9724129438400269)], [[[200.0, 247.0], [223.0, 247.0], [223.0, 259.0], [200.0, 259.0]], ('1.50', 0.9680426120758057)], [[[263.0, 246.0], [286.0, 246.0], [286.0, 261.0], [263.0, 261.0]], ('1.50', 0.9507498145103455)], [[[42.0, 267.0], [100.0, 267.0], [100.0, 281.0], [42.0, 281.0]], ('1Angkor(bt', 0.877738356590271)], [[[200.0, 266.0], [224.0, 266.0], [224.0, 281.0], [200.0, 281.0]], ('2.50', 0.9707411527633667)], [[[240.0, 271.0], [245.0, 271.0], [245.0, 278.0], [240.0, 278.0]], ('1', 0.9805488586425781)], [[[262.0, 267.0], [286.0, 267.0], [286.0, 282.0], [262.0, 282.0]], ('2.50', 0.9709392786026001)], [[[41.0, 287.0], [152.0, 287.0], [152.0, 300.0], [41.0, 300.0]], ('5Staff Calamani A la Kep', 0.7969877123832703)], [[[201.0, 289.0], [222.0, 289.0], [222.0, 301.0], [201.0, 301.0]], ('5.25', 0.8776379227638245)], [[[261.0, 289.0], [284.0, 289.0], [284.0, 304.0], [261.0, 304.0]], ('5.25', 0.9864611625671387)], [[[43.0, 309.0], [139.0, 309.0], [139.0, 323.0], [43.0, 323.0]], ('3Crispy Tiger Prawns', 0.9146072268486023)], [[[201.0, 310.0], [222.0, 310.0], [222.0, 322.0], [201.0, 322.0]], ('3.75', 0.9950816631317139)], [[[237.0, 312.0], [245.0, 312.0], [245.0, 321.0], [237.0, 321.0]], ('1', 0.7884759902954102)], [[[260.0, 310.0], [283.0, 310.0], [283.0, 325.0], [260.0, 325.0]], ('3.75', 0.9916115999221802)], [[[43.0, 330.0], [168.0, 330.0], [168.0, 344.0], [43.0, 344.0]], ('7Green Mango Wit Srnoked', 0.8569838404655457)], [[[199.0, 327.0], [224.0, 330.0], [222.0, 345.0], [198.0, 342.0]], ('4.25', 0.9664005041122437)], [[[236.0, 332.0], [244.0, 332.0], [244.0, 342.0], [236.0, 342.0]], ('1', 0.9426053762435913)], [[[258.0, 330.0], [282.0, 330.0], [282.0, 346.0], [258.0, 346.0]], ('4.25', 0.9062008261680603)], [[[57.0, 343.0], [102.0, 343.0], [102.0, 354.0], [57.0, 354.0]], ('Fish Salad', 0.952616810798645)], [[[45.0, 358.0], [129.0, 358.0], [129.0, 371.0], [45.0, 371.0]], ('3Tradtiona Khmer', 0.8872073888778687)], [[[200.0, 358.0], [221.0, 358.0], [221.0, 370.0], [200.0, 370.0]], ('3.50', 0.9851320385932922)], [[[259.0, 355.0], [282.0, 358.0], [280.0, 373.0], [257.0, 370.0]], ('3.50', 0.8945451974868774)], [[[58.0, 370.0], [130.0, 370.0], [130.0, 381.0], [58.0, 381.0]], ('Lenjongrass Soup', 0.9253652095794678)], [[[46.0, 384.0], [152.0, 383.0], [152.0, 396.0], [46.0, 397.0]], ('Tom Yam Soup (Khm', 0.8732670545578003)], [[[198.0, 385.0], [220.0, 385.0], [220.0, 396.0], [198.0, 396.0]], ('4.25', 0.953411340713501)], [[[236.0, 386.0], [243.0, 386.0], [243.0, 395.0], [236.0, 395.0]], ('1', 0.8429965376853943)], [[[258.0, 385.0], [280.0, 385.0], [280.0, 397.0], [258.0, 397.0]], ('4.25', 0.9521033763885498)], [[[58.0, 396.0], [82.0, 396.0], [82.0, 407.0], [58.0, 407.0]], ('syle)', 0.8497891426086426)], [[[49.0, 411.0], [144.0, 411.0], [144.0, 421.0], [49.0, 421.0]], ('1vok-Fned Tradtlonal', 0.8462061882019043)], [[[199.0, 410.0], [220.0, 410.0], [220.0, 422.0], [199.0, 422.0]], ('6.00', 0.8196750283241272)], [[[234.0, 412.0], [242.0, 412.0], [242.0, 420.0], [234.0, 420.0]], ('1', 0.8821689486503601)], [[[258.0, 410.0], [279.0, 410.0], [279.0, 422.0], [258.0, 422.0]], ('6.00', 0.9871426820755005)], [[[59.0, 422.0], [117.0, 422.0], [117.0, 432.0], [59.0, 432.0]], ('Komer Spices', 0.9096284508705139)], [[[168.0, 435.0], [245.0, 435.0], [245.0, 448.0], [168.0, 448.0]], ('Sub Tal 41.00', 0.8542689085006714)]]	{"store_name": "AnnAdyARestaurant&Bar", "store_addr": "SteungThmeyVillage-SvayDangkumCommune SiemReap-Cambodia", "telephone": "", "date": "01/01/20", "time": "1717:08", "subtotal": "41.00", "tax": "", "total": "", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "ANCKOR(BIGBOTTLE)", "item_value": "7.00", "item_quantity": "1"}, {"item_key": "", "item_name": "PineappleChillJuice", "item_value": "3.00", "item_quantity": "1"}, {"item_key": "", "item_name": "PineappleJuice", "item_value": "1.50", "item_quantity": "1"}, {"item_key": "", "item_name": "Angkor(bt)", "item_value": "2.50", "item_quantity": "1"}, {"item_key": "", "item_name": "StaffCalamariAtaKep", "item_value": "5.25", "item_quantity": "1"}, {"item_key": "", "item_name": "CrispyTigerPrawns", "item_value": "3.75", "item_quantity": "1"}, {"item_key": "", "item_name": "GreenMangoWithSmoked", "item_value": "4.25", "item_quantity": "1"}, {"item_key": "", "item_name": "FishSalad", "item_value": "3.50", "item_quantity": "1"}, {"item_key": "", "item_name": "TraditionalKhmer", "item_value": "4.25", "item_quantity": "1"}, {"item_key": "", "item_name": "LemongrassSoup", "item_value": "6.00", "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	[[[[147.0, 82.0], [199.0, 82.0], [199.0, 96.0], [147.0, 96.0]], ('Hood Ranch', 0.9280497431755066)], [[[136.0, 93.0], [208.0, 94.0], [208.0, 109.0], [135.0, 107.0]], ('Missicn Valley', 0.8894028067588806)], [[[137.0, 104.0], [209.0, 107.0], [208.0, 121.0], [136.0, 118.0]], ('619)764-4411', 0.9451375007629395)], [[[65.0, 125.0], [143.0, 128.0], [143.0, 142.0], [64.0, 140.0]], ('Server:Michae', 0.9404479265213013)], [[[64.0, 137.0], [124.0, 140.0], [124.0, 154.0], [63.0, 152.0]], ('Table 201/1', 0.9316993951797485)], [[[226.0, 130.0], [280.0, 130.0], [280.0, 144.0], [226.0, 144.0]], ('07/26/2016', 0.9929517507553101)], [[[63.0, 149.0], [114.0, 152.0], [114.0, 166.0], [62.0, 164.0]], ('Guests:2', 0.9357558488845825)], [[[241.0, 142.0], [280.0, 142.0], [280.0, 156.0], [241.0, 156.0]], ('728PM', 0.9789592623710632)], [[[251.0, 154.0], [281.0, 154.0], [281.0, 168.0], [251.0, 168.0]], ('80034', 0.9985817074775696)], [[[61.0, 174.0], [152.0, 175.0], [152.0, 189.0], [60.0, 188.0]], ('25 oz Moose Droo', 0.8580451011657715)], [[[61.0, 187.0], [193.0, 188.0], [193.0, 202.0], [60.0, 201.0]], ('Santa Fe BBQ Ckn Sandwich', 0.9320757985115051)], [[[257.0, 178.0], [281.0, 178.0], [281.0, 190.0], [257.0, 190.0]], ('9.75', 0.9944525957107544)], [[[60.0, 199.0], [173.0, 201.0], [173.0, 215.0], [59.0, 213.0]], ('Trefethen Est. Mer lot', 0.9252167344093323)], [[[253.0, 190.0], [283.0, 190.0], [283.0, 204.0], [253.0, 204.0]], ('12.95', 0.9890576601028442)], [[[256.0, 202.0], [284.0, 202.0], [284.0, 217.0], [256.0, 217.0]], ('6.00', 0.9933247566223145)], [[[60.0, 212.0], [132.0, 214.0], [131.0, 227.0], [59.0, 225.0]], ('Veggie Burger', 0.9529985189437866)], [[[66.0, 224.0], [177.0, 226.0], [177.0, 240.0], [66.0, 238.0]], ('Sub Salad for 1 Side', 0.9147046804428101)], [[[254.0, 215.0], [285.0, 215.0], [285.0, 230.0], [254.0, 230.0]], ('12.95', 0.9966438412666321)], [[[77.0, 238.0], [213.0, 240.0], [213.0, 254.0], [77.0, 252.0]], ('1/2 House Salad Add/Ext', 0.9296631217002869)], [[[259.0, 241.0], [285.0, 241.0], [285.0, 256.0], [259.0, 256.0]], ('1.95', 0.9933604598045349)], [[[55.0, 251.0], [173.0, 253.0], [173.0, 267.0], [55.0, 265.0]], ('Fresh Fruit Smoothies', 0.9457749724388123)], [[[259.0, 254.0], [286.0, 254.0], [286.0, 270.0], [259.0, 270.0]], ('4.95', 0.9935488700866699)], [[[57.0, 276.0], [101.0, 278.0], [100.0, 294.0], [56.0, 291.0]], ('5.Items', 0.9146847724914551)], [[[51.0, 306.0], [98.0, 306.0], [98.0, 321.0], [51.0, 321.0]], ('Subtotal', 0.9950138330459595)], [[[256.0, 307.0], [290.0, 307.0], [290.0, 325.0], [256.0, 325.0]], ('48.55', 0.9742043614387512)], [[[50.0, 319.0], [73.0, 322.0], [71.0, 338.0], [48.0, 335.0]], ('Tax', 0.99092698097229)], [[[261.0, 322.0], [290.0, 322.0], [290.0, 339.0], [261.0, 339.0]], ('3.89', 0.9916620850563049)], [[[47.0, 351.0], [79.0, 351.0], [79.0, 368.0], [47.0, 368.0]], ('Total', 0.9923478960990906)], [[[258.0, 352.0], [293.0, 352.0], [293.0, 370.0], [258.0, 370.0]], ('52.44', 0.9817931056022644)], [[[45.0, 379.0], [175.0, 383.0], [174.0, 400.0], [44.0, 396.0]], ('Balance Due', 0.9686181545257568)], [[[230.0, 383.0], [293.0, 383.0], [293.0, 400.0], [230.0, 400.0]], ('52.44', 0.9957237243652344)], [[[124.0, 411.0], [210.0, 413.0], [210.0, 430.0], [124.0, 428.0]], ('Tip Calculator', 0.9710010886192322)], [[[135.0, 429.0], [200.0, 429.0], [200.0, 446.0], [135.0, 446.0]], ('20%=9.71', 0.9640851616859436)]]	{"store_name": "WoodRanch", "store_addr": "MissionValley", "telephone": "(619)764-4411", "date": "07/26/2016", "time": "7:28PM", "subtotal": "48.55", "tax": "3.89", "total": "52.44", "ignore": "", "tips": "20%=9.71", "line_items": [{"item_key": "", "item_name": "25ozMooseDrool", "item_value": "9.75", "item_quantity": "1"}, {"item_key": "", "item_name": "SantaFeBBQCknSandwich", "item_value": "12.95", "item_quantity": "1"}, {"item_key": "", "item_name": "TrefethenEst.Merlot", "item_value": "6.00", "item_quantity": "1"}, {"item_key": "", "item_name": "VeggieBurger", "item_value": "12.95", "item_quantity": "1"}, {"item_key": "", "item_name": "SubSaladfor1Side", "item_value": "1.95", "item_quantity": "1"}, {"item_key": "", "item_name": "1/2HouseSalad(Add/Ext)", "item_value": "4.95", "item_quantity": "1"}, {"item_key": "", "item_name": "FreshFruitSmoothies", "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	[[[[49.0, 54.0], [280.0, 56.0], [280.0, 73.0], [49.0, 71.0]], ('Trendz Restaurant and Wine Bar', 0.9289426207542419)], [[[79.0, 73.0], [251.0, 75.0], [251.0, 89.0], [79.0, 87.0]], ('Best Western Dartmouth', 0.9543575048446655)], [[[97.0, 86.0], [237.0, 92.0], [237.0, 112.0], [97.0, 106.0]], ('15 Spectacle Lake', 0.9336163401603699)], [[[39.0, 123.0], [159.0, 126.0], [158.0, 143.0], [38.0, 141.0]], ('Server: Vanessa', 0.9428537487983704)], [[[37.0, 138.0], [113.0, 142.0], [112.0, 160.0], [36.0, 156.0]], ('Table 3/2', 0.9495542049407959)], [[[230.0, 143.0], [297.0, 140.0], [298.0, 158.0], [231.0, 160.0]], ('10:38PM', 0.9171123504638672)], [[[39.0, 156.0], [114.0, 160.0], [113.0, 177.0], [38.0, 174.0]], ('Guests:0', 0.9342936277389526)], [[[255.0, 156.0], [298.0, 160.0], [297.0, 178.0], [253.0, 174.0]], ('20038', 0.9906398057937622)], [[[37.0, 189.0], [148.0, 194.0], [147.0, 211.0], [36.0, 206.0]], ('9oz Chardonnay', 0.9377205967903137)], [[[254.0, 195.0], [296.0, 195.0], [296.0, 210.0], [254.0, 210.0]], ('13.00', 0.9532200694084167)], [[[39.0, 223.0], [104.0, 225.0], [103.0, 242.0], [38.0, 240.0]], ('Subtotal', 0.9893454313278198)], [[[255.0, 224.0], [297.0, 227.0], [296.0, 246.0], [253.0, 242.0]], ('13.00', 0.9376603960990906)], [[[37.0, 255.0], [95.0, 261.0], [93.0, 279.0], [35.0, 273.0]], ('HST Tax', 0.891191303730011)], [[[260.0, 261.0], [296.0, 261.0], [296.0, 279.0], [260.0, 279.0]], ('1.95', 0.9814746379852295)], [[[37.0, 290.0], [79.0, 294.0], [78.0, 312.0], [35.0, 308.0]], ('Total', 0.9953287243843079)], [[[254.0, 292.0], [296.0, 297.0], [294.0, 315.0], [252.0, 310.0]], ('14.95', 0.9649056196212769)], [[[35.0, 323.0], [123.0, 328.0], [122.0, 345.0], [34.0, 340.0]], ('Balance Due', 0.9429044723510742)], [[[236.0, 328.0], [295.0, 331.0], [294.0, 348.0], [235.0, 345.0]], ('$14.95', 0.976384162902832)], [[[44.0, 358.0], [93.0, 361.0], [93.0, 378.0], [43.0, 375.0]], ('Room#:', 0.8983710408210754)], [[[35.0, 390.0], [100.0, 396.0], [99.0, 411.0], [34.0, 405.0]], ('Gratuity', 0.9882478713989258)], [[[38.0, 426.0], [77.0, 426.0], [77.0, 441.0], [38.0, 441.0]], ('TOTAL', 0.9974623918533325)]]	{"store_name": "TrendzRestaurantandWineBar", "store_addr": "15SpectacleLake", "telephone": "", "date": "09/27/2014", "time": "10:38PM", "subtotal": "13.00", "tax": "1.95", "total": "14.95 14.95", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "9ozChardonnay", "item_value": "13.00", "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	[[[[137.0, 34.0], [248.0, 37.0], [248.0, 51.0], [137.0, 48.0]], ('Bubba Gump Shr1mp Co', 0.9162371754646301)], [[[137.0, 46.0], [244.0, 48.0], [244.0, 61.0], [137.0, 59.0]], ('Restaurant & Market', 0.9395958781242371)], [[[73.0, 63.0], [162.0, 66.0], [162.0, 81.0], [72.0, 77.0]], ('ServerDelaine', 0.9859465956687927)], [[[73.0, 77.0], [139.0, 77.0], [139.0, 88.0], [73.0, 88.0]], ('Table105/1', 0.9377015829086304)], [[[251.0, 68.0], [310.0, 70.0], [310.0, 85.0], [251.0, 82.0]], ('06/28/2018', 0.9936084747314453)], [[[71.0, 87.0], [126.0, 90.0], [126.0, 101.0], [70.0, 98.0]], ('Guests:2', 0.9519816637039185)], [[[267.0, 82.0], [311.0, 82.0], [311.0, 93.0], [267.0, 93.0]], ('5:06PM', 0.9010763764381409)], [[[67.0, 106.0], [165.0, 110.0], [165.0, 123.0], [66.0, 119.0]], ('Area: Restaurant', 0.9413560628890991)], [[[245.0, 102.0], [312.0, 102.0], [312.0, 114.0], [245.0, 114.0]], ('#80076', 0.9798142910003662)], [[[62.0, 129.0], [99.0, 129.0], [99.0, 143.0], [62.0, 143.0]], ('Peps1', 0.9009749293327332)], [[[60.0, 139.0], [114.0, 142.0], [113.0, 155.0], [59.0, 152.0]], ('Lemonade', 0.9968677759170532)], [[[292.0, 135.0], [320.0, 135.0], [320.0, 148.0], [292.0, 148.0]], ('3.50', 0.9960764646530151)], [[[60.0, 150.0], [104.0, 153.0], [103.0, 166.0], [59.0, 164.0]], ('Coffee', 0.980967104434967)], [[[292.0, 143.0], [323.0, 146.0], [321.0, 160.0], [291.0, 157.0]], ('3.50', 0.9964103102684021)], [[[56.0, 163.0], [213.0, 166.0], [212.0, 180.0], [55.0, 177.0]], ('Popcorn Shrimp Appetizer', 0.9397656321525574)], [[[294.0, 157.0], [324.0, 157.0], [324.0, 171.0], [294.0, 171.0]], ('3.50', 0.990070641040802)], [[[54.0, 175.0], [150.0, 177.0], [150.0, 191.0], [53.0, 189.0]], ('Fish and Chips', 0.9650642275810242)], [[[292.0, 168.0], [326.0, 168.0], [326.0, 182.0], [292.0, 182.0]], ('11.59', 0.9950689077377319)], [[[52.0, 187.0], [161.0, 190.0], [161.0, 204.0], [51.0, 201.0]], ('Clam Chowder Cup', 0.9377038478851318)], [[[293.0, 181.0], [327.0, 181.0], [327.0, 195.0], [293.0, 195.0]], ('18.49', 0.9895144701004028)], [[[49.0, 199.0], [114.0, 202.0], [113.0, 217.0], [48.0, 214.0]], ('Jambalaya', 0.9902470707893372)], [[[298.0, 193.0], [329.0, 193.0], [329.0, 207.0], [298.0, 207.0]], ('6.59', 0.9954220056533813)], [[[296.0, 205.0], [331.0, 205.0], [331.0, 219.0], [296.0, 219.0]], ('20.59', 0.9936580657958984)], [[[51.0, 227.0], [104.0, 229.0], [103.0, 244.0], [50.0, 242.0]], ('7 Items', 0.9265026450157166)], [[[38.0, 256.0], [101.0, 258.0], [100.0, 275.0], [37.0, 273.0]], ('Subtotal', 0.9895154237747192)], [[[303.0, 262.0], [341.0, 262.0], [341.0, 277.0], [303.0, 277.0]], ('67.76', 0.9964067339897156)], [[[37.0, 273.0], [63.0, 276.0], [61.0, 292.0], [35.0, 289.0]], ('Tax', 0.9957806468009949)], [[[310.0, 279.0], [343.0, 276.0], [344.0, 291.0], [311.0, 294.0]], ('3.39', 0.9943355321884155)], [[[31.0, 308.0], [71.0, 308.0], [71.0, 323.0], [31.0, 323.0]], ('Total', 0.9947193264961243)], [[[308.0, 309.0], [351.0, 309.0], [351.0, 327.0], [308.0, 327.0]], ('71.15', 0.9915705919265747)], [[[22.0, 344.0], [114.0, 344.0], [114.0, 361.0], [22.0, 361.0]], ('Balance Due', 0.9504949450492859)], [[[306.0, 345.0], [357.0, 345.0], [357.0, 363.0], [306.0, 363.0]], ('$71.15', 0.9945874810218811)], [[[48.0, 383.0], [321.0, 382.0], [321.0, 400.0], [48.0, 401.0]], ('A suggested gratuity of 15%-20%', 0.9383442997932434)], [[[72.0, 404.0], [308.0, 403.0], [308.0, 420.0], [73.0, 421.0]], ('is customary. The amount of', 0.9503340125083923)], [[[42.0, 425.0], [327.0, 425.0], [327.0, 445.0], [42.0, 445.0]], ('gratuity is always discretionary.', 0.9602776765823364)]]	{"store_name": "BubbaGumpShrimpCo Restaurant&Market", "store_addr": "", "telephone": "", "date": "06/28/2018", "time": "5:06PM", "subtotal": "67.76", "tax": "3.39", "total": "71.15", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "Pepsi", "item_value": "3.50", "item_quantity": "1"}, {"item_key": "", "item_name": "Lemonade", "item_value": "3.50", "item_quantity": "1"}, {"item_key": "", "item_name": "Coffee", "item_value": "3.50", "item_quantity": "1"}, {"item_key": "", "item_name": "PopcornShrimpAppetizer", "item_value": "11.59", "item_quantity": "1"}, {"item_key": "", "item_name": "FishandChips", "item_value": "18.49", "item_quantity": "1"}, {"item_key": "", "item_name": "ClamChowderCup", "item_value": "6.59", "item_quantity": "1"}, {"item_key": "", "item_name": "Jambalaya", "item_value": "20.59", "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	[[[[61.0, 7.0], [186.0, 16.0], [184.0, 34.0], [60.0, 24.0]], ('700wF Sdn.Bnd', 0.7921116352081299)], [[[86.0, 25.0], [162.0, 28.0], [161.0, 46.0], [85.0, 43.0]], ('(958(71', 0.7919243574142456)], [[[81.0, 57.0], [178.0, 58.0], [178.0, 72.0], [81.0, 71.0]], ('ZCOF5dnBd 958171-T', 0.8004383444786072)], [[[85.0, 82.0], [171.0, 83.0], [171.0, 94.0], [84.0, 93.0]], ('GSTNO001013325824', 0.9230610132217407)], [[[97.0, 75.0], [162.0, 75.0], [162.0, 85.0], [97.0, 85.0]], ('ndan ', 0.7054625749588013)], [[[92.0, 96.0], [164.0, 100.0], [164.0, 111.0], [92.0, 107.0]], ('450 Kuala Lunpur', 0.8126184940338135)], [[[94.0, 106.0], [160.0, 108.0], [160.0, 119.0], [94.0, 117.0]], ('Tel:03-21619919', 0.8737441301345825)], [[[48.0, 126.0], [148.0, 123.0], [148.0, 138.0], [48.0, 140.0]], ('ate25/87/2016.2:024', 0.7844163179397583)], [[[50.0, 136.0], [115.0, 133.0], [115.0, 145.0], [50.0, 147.0]], ('Receipt No:59059', 0.8470316529273987)], [[[48.0, 160.0], [85.0, 157.0], [86.0, 169.0], [48.0, 171.0]], ('Table:12', 0.8350239992141724)], [[[50.0, 152.0], [76.0, 152.0], [76.0, 163.0], [50.0, 163.0]], ('Pax:8', 0.7210237383842468)], [[[55.0, 177.0], [157.0, 177.0], [157.0, 187.0], [55.0, 187.0]], ('1 Phsps Eggplant (L', 0.8055008053779602)], [[[176.0, 186.0], [209.0, 186.0], [209.0, 196.0], [176.0, 196.0]], ('129.90 S', 0.7920264601707458)], [[[178.0, 177.0], [208.0, 177.0], [208.0, 188.0], [178.0, 188.0]], ('29.90S', 0.851780891418457)], [[[55.0, 193.0], [131.0, 193.0], [131.0, 203.0], [55.0, 203.0]], ('11919 Special Tofu', 0.8800852298736572)], [[[56.0, 187.0], [134.0, 187.0], [134.0, 194.0], [56.0, 194.0]], ('1 Claypot Curry Fish', 0.8189255595207214)], [[[54.0, 201.0], [132.0, 201.0], [132.0, 214.0], [54.0, 214.0]], ('Salted Egg Mantss', 0.8837223052978516)], [[[178.0, 194.0], [209.0, 194.0], [209.0, 204.0], [178.0, 204.0]], ('28.98S', 0.782526433467865)], [[[62.0, 210.0], [101.0, 210.0], [101.0, 220.0], [62.0, 220.0]], ('Shrinp(L)', 0.9569323062896729)], [[[181.0, 202.0], [209.0, 202.0], [209.0, 212.0], [181.0, 212.0]], ('0.0s', 0.623677670955658)], [[[54.0, 225.0], [144.0, 225.0], [144.0, 238.0], [54.0, 238.0]], ('Belacan Kangkung L', 0.8875306248664856)], [[[64.0, 218.0], [116.0, 218.0], [116.0, 228.0], [64.0, 228.0]], ('Out of stock', 0.7610523104667664)], [[[54.0, 233.0], [138.0, 233.0], [138.0, 246.0], [54.0, 246.0]], ('1Pandan Chicken (L', 0.8874345421791077)], [[[180.0, 226.0], [210.0, 226.0], [210.0, 237.0], [180.0, 237.0]], ('28.985', 0.8912913799285889)], [[[54.0, 241.0], [132.0, 243.0], [131.0, 253.0], [54.0, 251.0]], ('8 House Chinese Tea', 0.8922972679138184)], [[[180.0, 234.0], [209.0, 234.0], [209.0, 245.0], [180.0, 245.0]], ('50588', 0.6486028432846069)], [[[54.0, 257.0], [144.0, 257.0], [144.0, 270.0], [54.0, 270.0]], ('1 Salted Egg Prawn (L', 0.8399243950843811)], [[[55.0, 250.0], [106.0, 250.0], [106.0, 260.0], [55.0, 260.0]], ('8white Rice', 0.8709999322891235)], [[[176.0, 257.0], [209.0, 257.0], [209.0, 268.0], [176.0, 268.0]], ('119.90', 0.8308403491973877)], [[[108.0, 275.0], [144.0, 275.0], [144.0, 285.0], [108.0, 285.0]], ('Subtotal:', 0.9802101850509644)], [[[181.0, 274.0], [207.0, 271.0], [208.0, 283.0], [182.0, 286.0]], ('421.50', 0.7528338432312012)], [[[81.0, 284.0], [143.0, 284.0], [143.0, 294.0], [81.0, 294.0]], ('Service Charges', 0.9505074620246887)], [[[185.0, 280.0], [209.0, 283.0], [208.0, 294.0], [184.0, 291.0]], ('20.59', 0.9735047221183777)], [[[107.0, 292.0], [142.0, 289.0], [142.0, 300.0], [108.0, 303.0]], ('(54+Tax)', 0.805755078792572)], [[[108.0, 297.0], [143.0, 300.0], [143.0, 311.0], [107.0, 308.0]], ('Burpanos', 0.7237812280654907)], [[[189.0, 296.0], [208.0, 296.0], [208.0, 307.0], [189.0, 307.0]], ('0.01', 0.9907194972038269)], [[[120.0, 306.0], [144.0, 306.0], [144.0, 317.0], [120.0, 317.0]], ('Total:', 0.9784632325172424)], [[[161.0, 306.0], [208.0, 306.0], [208.0, 321.0], [161.0, 321.0]], ('432.20', 0.994392454624176)], [[[85.0, 321.0], [143.0, 321.0], [143.0, 331.0], [85.0, 331.0]], ('Credt card', 0.813923180103302)], [[[182.0, 320.0], [207.0, 320.0], [207.0, 331.0], [182.0, 331.0]], ('432.20', 0.9629241824150085)], [[[117.0, 331.0], [142.0, 331.0], [142.0, 339.0], [117.0, 339.0]], ('Chenge', 0.9420525431632996)], [[[176.0, 330.0], [208.0, 330.0], [208.0, 345.0], [176.0, 345.0]], ('0.00', 0.9988874793052673)], [[[44.0, 365.0], [81.0, 365.0], [81.0, 376.0], [44.0, 376.0]], ('Tax Code', 0.8820512294769287)], [[[143.0, 372.0], [170.0, 372.0], [170.0, 383.0], [143.0, 383.0]], ('407.72', 0.9119459986686707)], [[[144.0, 364.0], [170.0, 364.0], [170.0, 374.0], [144.0, 374.0]], ('Asount', 0.9862942695617676)], [[[44.0, 375.0], [68.0, 375.0], [68.0, 384.0], [44.0, 384.0]], ('S064', 0.5323482155799866)], [[[186.0, 372.0], [212.0, 372.0], [212.0, 383.0], [186.0, 383.0]], ('24.47', 0.9876362681388855)], [[[65.0, 404.0], [186.0, 404.0], [186.0, 414.0], [65.0, 414.0]], ('Thank You Please coze again.', 0.9021633863449097)], [[[46.0, 425.0], [205.0, 423.0], [206.0, 434.0], [46.0, 436.0]], ('Powered by ARs F&B ww.arss-fno.cos', 0.8192629218101501)]]	{"store_name": "ZOOWFSdn.Bhd.", "store_addr": "-KualaLumpur-", "telephone": "03-216019919", "date": "25/07/2016,", "time": "2:02PM", "subtotal": "411.60", "tax": "24.47", "total": "432.20", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "SaltedEggPrawn(L)", "item_value": "119.90", "item_quantity": "1"}, {"item_key": "", "item_name": "WhiteRice", "item_value": "20.08", "item_quantity": "1"}, {"item_key": "", "item_name": "MouseChineseTea", "item_value": "15.22", "item_quantity": "1"}, {"item_key": "", "item_name": "PandanChicken(L)", "item_value": "38.90", "item_quantity": "1"}, {"item_key": "", "item_name": "Shrimp[L]", "item_value": "28.90", "item_quantity": "1"}, {"item_key": "", "item_name": "1919SpecialTofu", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "28.90", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "128.90", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "20.90", "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	[[[[52.0, 135.0], [97.0, 135.0], [97.0, 145.0], [52.0, 145.0]], ('WantonN', 0.9581648707389832)], [[[72.0, 145.0], [127.0, 145.0], [127.0, 152.0], [72.0, 152.0]], ('BALESSEDHE', 0.7854021787643433)], [[[132.0, 144.0], [150.0, 144.0], [150.0, 152.0], [132.0, 152.0]], ('CHEE', 0.6460798978805542)], [[[20.0, 181.0], [175.0, 179.0], [175.0, 192.0], [20.0, 194.0]], ('Receipt No.:00014397', 0.8918164372444153)], [[[21.0, 198.0], [178.0, 194.0], [178.0, 208.0], [21.0, 212.0]], ('Date &time06-11-16 1047', 0.8648151159286499)], [[[22.0, 210.0], [111.0, 206.0], [112.0, 217.0], [22.0, 221.0]], ('Cashier:mut kee', 0.8511333465576172)], [[[202.0, 218.0], [229.0, 218.0], [229.0, 231.0], [202.0, 231.0]], ('13.50', 0.9851018190383911)], [[[111.0, 251.0], [155.0, 249.0], [155.0, 263.0], [112.0, 265.0]], ('TOTAL', 0.9975775480270386)], [[[191.0, 245.0], [233.0, 242.0], [235.0, 256.0], [193.0, 260.0]], ('13.50', 0.9978971481323242)], [[[24.0, 255.0], [68.0, 253.0], [68.0, 268.0], [25.0, 270.0]], ('10:54', 0.9381033778190613)], [[[120.0, 265.0], [157.0, 261.0], [159.0, 275.0], [122.0, 279.0]], ('Cash', 0.9951028823852539)], [[[191.0, 258.0], [235.0, 253.0], [237.0, 267.0], [193.0, 272.0]], ('14.00', 0.9938347935676575)], [[[107.0, 276.0], [159.0, 274.0], [159.0, 287.0], [107.0, 289.0]], ('Change', 0.9949147701263428)], [[[200.0, 269.0], [237.0, 265.0], [239.0, 279.0], [202.0, 283.0]], ('0.50', 0.9983780384063721)], [[[58.0, 309.0], [210.0, 297.0], [211.0, 311.0], [59.0, 323.0]], ('Thank you. please come agan!', 0.8790441155433655)]]	{"store_name": "WantonNoddles", "store_addr": "", "telephone": "", "date": "06-11-16", "time": "10:54", "subtotal": "", "tax": "", "total": "13.50", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "OriginalDRY", "item_value": "13.50", "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	[[[[147.0, 6.0], [230.0, 6.0], [230.0, 19.0], [147.0, 19.0]], ('168 Second Avenue', 0.9205889701843262)], [[[143.0, 17.0], [232.0, 15.0], [232.0, 28.0], [144.0, 30.0]], ('New York,NY-10003', 0.8884832859039307)], [[[143.0, 28.0], [232.0, 26.0], [232.0, 38.0], [144.0, 41.0]], ('Te1-212-533-4875', 0.9530829191207886)], [[[151.0, 40.0], [224.0, 40.0], [224.0, 50.0], [151.0, 50.0]], ('farfashanyc.com', 0.9863615036010742)], [[[71.0, 59.0], [109.0, 59.0], [109.0, 73.0], [71.0, 73.0]], ('Dine-In', 0.985456645488739)], [[[203.0, 59.0], [258.0, 56.0], [258.0, 71.0], [204.0, 73.0]], ('Party of 1', 0.9485332369804382)], [[[71.0, 72.0], [111.0, 72.0], [111.0, 83.0], [71.0, 83.0]], ('Table 33', 0.9264158606529236)], [[[66.0, 90.0], [265.0, 88.0], [265.0, 105.0], [66.0, 107.0]], ('9:34PH Ticket 1-16707 Date 7/16/2016', 0.9193291068077087)], [[[70.0, 83.0], [104.0, 83.0], [104.0, 94.0], [70.0, 94.0]], ('gerard', 0.9719958901405334)], [[[172.0, 125.0], [198.0, 125.0], [198.0, 147.0], [172.0, 147.0]], ('BILL', 0.9973729848861694)], [[[64.0, 168.0], [128.0, 168.0], [128.0, 189.0], [64.0, 189.0]], ('Fresh Hookah', 0.871166467666626)], [[[211.0, 172.0], [218.0, 172.0], [218.0, 183.0], [211.0, 183.0]], ('-', 0.5798500776290894)], [[[239.0, 165.0], [272.0, 165.0], [272.0, 189.0], [239.0, 189.0]], ('25.00', 0.9934816360473633)], [[[63.0, 187.0], [147.0, 190.0], [146.0, 212.0], [62.0, 208.0]], ('Hot Egyptian Tea', 0.9221624135971069)], [[[242.0, 186.0], [271.0, 182.0], [274.0, 208.0], [244.0, 211.0]], ('5.00', 0.9909395575523376)], [[[62.0, 206.0], [141.0, 210.0], [140.0, 232.0], [61.0, 228.0]], ('Chicken Fingers', 0.9389236569404602)], [[[245.0, 206.0], [273.0, 206.0], [273.0, 231.0], [245.0, 231.0]], ('7.00', 0.9916499853134155)], [[[151.0, 238.0], [202.0, 240.0], [201.0, 255.0], [150.0, 253.0]], ('Sub Total', 0.920343279838562)], [[[206.0, 243.0], [214.0, 241.0], [216.0, 250.0], [208.0, 252.0]], ('.', 0.6834195256233215)], [[[230.0, 241.0], [273.0, 241.0], [273.0, 255.0], [230.0, 255.0]], ('$37.00', 0.9920029044151306)], [[[150.0, 251.0], [203.0, 254.0], [202.0, 269.0], [149.0, 266.0]], ('Sales Tax', 0.9498125910758972)], [[[208.0, 257.0], [217.0, 257.0], [217.0, 266.0], [208.0, 266.0]], (':', 0.7615768909454346)], [[[234.0, 254.0], [273.0, 254.0], [273.0, 269.0], [234.0, 269.0]], ('$3.28', 0.9820011258125305)], [[[153.0, 264.0], [201.0, 267.0], [200.0, 282.0], [152.0, 278.0]], ('Gratuity', 0.989909291267395)], [[[208.0, 271.0], [217.0, 271.0], [217.0, 280.0], [208.0, 280.0]], (':', 0.8012123107910156)], [[[235.0, 266.0], [274.0, 268.0], [273.0, 283.0], [234.0, 280.0]], ('$8.66', 0.8564020395278931)], [[[138.0, 277.0], [221.0, 281.0], [220.0, 306.0], [137.0, 302.0]], ('Check Total$', 0.9328393340110779)], [[[248.0, 282.0], [281.0, 282.0], [281.0, 306.0], [248.0, 306.0]], ('46.94', 0.9869074821472168)], [[[103.0, 312.0], [266.0, 320.0], [266.0, 333.0], [103.0, 326.0]], ('Created7/16/2016 9:06:51PM', 0.9443535208702087)], [[[102.0, 327.0], [266.0, 333.0], [266.0, 347.0], [102.0, 341.0]], ('Settled7/16/2016 9:3411 PM', 0.9306321740150452)]]	{"store_name": "", "store_addr": "168SecondAvenue NewYark,NY-10003", "telephone": "212-533-4875", "date": "7/16/2016 7/16/2016 7/16/2016", "time": "9:34PH 9:06:51PM", "subtotal": "$37.00", "tax": "$3.28", "total": "$46.94", "ignore": "", "tips": "Gratufty: $6.66", "line_items": [{"item_key": "", "item_name": "FreshHookah", "item_value": "25.00", "item_quantity": "1"}, {"item_key": "", "item_name": "HotEgyptianTea", "item_value": "5.00", "item_quantity": "1"}, {"item_key": "", "item_name": "ChickenFingers", "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	[[[[144.0, 76.0], [391.0, 80.0], [391.0, 104.0], [144.0, 100.0]], ('PASAR RAYA SAROJA UTAMA', 0.9395612478256226)], [[[201.0, 105.0], [334.0, 107.0], [334.0, 132.0], [201.0, 130.0]], ('(001300395-T)', 0.9437922835350037)], [[[129.0, 190.0], [404.0, 192.0], [404.0, 216.0], [129.0, 214.0]], ('GST Reg No002139193344', 0.9584640860557556)], [[[61.0, 243.0], [181.0, 245.0], [181.0, 269.0], [61.0, 267.0]], ('S/PSALES', 0.9884239435195923)], [[[275.0, 248.0], [469.0, 248.0], [469.0, 269.0], [275.0, 269.0]], ('Inv NoCS1-004368', 0.9590818881988525)], [[[63.0, 273.0], [263.0, 274.0], [263.0, 295.0], [63.0, 294.0]], ('01/04/2015 10:05:13', 0.9464336037635803)], [[[66.0, 327.0], [211.0, 327.0], [211.0, 348.0], [66.0, 348.0]], ('No.Description', 0.9896395802497864)], [[[444.0, 324.0], [481.0, 324.0], [481.0, 352.0], [444.0, 352.0]], ('UOM', 0.9946191906929016)], [[[64.0, 351.0], [113.0, 351.0], [113.0, 377.0], [64.0, 377.0]], ('Code', 0.9978448152542114)], [[[222.0, 353.0], [334.0, 353.0], [334.0, 374.0], [222.0, 374.0]], ('Qty U/Price', 0.9595968723297119)], [[[383.0, 352.0], [480.0, 352.0], [480.0, 377.0], [383.0, 377.0]], ('Total Tax', 0.9175429940223694)], [[[70.0, 403.0], [320.0, 403.0], [320.0, 427.0], [70.0, 427.0]], ('11.8kg Lactogen3 (tin', 0.9277195930480957)], [[[441.0, 403.0], [477.0, 403.0], [477.0, 428.0], [441.0, 428.0]], ('PCS', 0.9926941394805908)], [[[73.0, 431.0], [222.0, 431.0], [222.0, 448.0], [73.0, 448.0]], ('48003613822671', 0.9974007606506348)], [[[280.0, 429.0], [335.0, 429.0], [335.0, 451.0], [280.0, 451.0]], ('51.50', 0.9929946660995483)], [[[379.0, 427.0], [476.0, 429.0], [476.0, 453.0], [379.0, 451.0]], ('51.50T6', 0.9852370619773865)], [[[70.0, 454.0], [473.0, 455.0], [473.0, 476.0], [70.0, 475.0]], ('2 drypers drypantz low count pack L PCS', 0.9219391942024231)], [[[74.0, 479.0], [224.0, 479.0], [224.0, 499.0], [74.0, 499.0]], ('9557327001407 1', 0.9673342108726501)], [[[288.0, 479.0], [334.0, 477.0], [335.0, 500.0], [289.0, 502.0]], ('3.90', 0.9951672554016113)], [[[389.0, 477.0], [474.0, 479.0], [474.0, 501.0], [389.0, 499.0]], ('3.90T6', 0.9833040237426758)], [[[71.0, 503.0], [473.0, 503.0], [473.0, 526.0], [71.0, 526.0]], ('3 drypers wee wee mega pack L 68pcs PCS', 0.9403901696205139)], [[[75.0, 528.0], [223.0, 528.0], [223.0, 548.0], [75.0, 548.0]], ('9557327004668 1', 0.9051092267036438)], [[[280.0, 527.0], [334.0, 527.0], [334.0, 549.0], [280.0, 549.0]], ('35.90', 0.9964502453804016)], [[[379.0, 526.0], [475.0, 528.0], [475.0, 552.0], [379.0, 550.0]], ('35.90T6', 0.9844362139701843)], [[[71.0, 550.0], [364.0, 552.0], [364.0, 576.0], [71.0, 574.0]], ('4 Fiyyi baby diapers L60 pcs', 0.9234204292297363)], [[[439.0, 553.0], [474.0, 553.0], [474.0, 578.0], [439.0, 578.0]], ('PCS', 0.9900354743003845)], [[[73.0, 578.0], [222.0, 578.0], [222.0, 599.0], [73.0, 599.0]], ('95550211024131', 0.9975236058235168)], [[[278.0, 576.0], [335.0, 576.0], [335.0, 601.0], [278.0, 601.0]], ('26.99', 0.995427131652832)], [[[382.0, 578.0], [434.0, 578.0], [434.0, 601.0], [382.0, 601.0]], ('26.99', 0.9929410815238953)], [[[446.0, 581.0], [473.0, 581.0], [473.0, 603.0], [446.0, 603.0]], ('T6', 0.9898529052734375)], [[[248.0, 653.0], [373.0, 656.0], [373.0, 680.0], [248.0, 677.0]], ('Item Count', 0.9535163044929504)], [[[416.0, 655.0], [474.0, 657.0], [473.0, 683.0], [415.0, 681.0]], ('4.000', 0.9967128038406372)], [[[99.0, 681.0], [372.0, 682.0], [372.0, 703.0], [99.0, 702.0]], ('Tota1 Sales InclGST @6%', 0.8744779825210571)], [[[408.0, 682.0], [474.0, 685.0], [473.0, 710.0], [407.0, 707.0]], ('118.29', 0.9948322176933289)], [[[156.0, 708.0], [371.0, 711.0], [371.0, 732.0], [156.0, 729.0]], ('Rounding Adjustment', 0.9677436947822571)], [[[426.0, 708.0], [475.0, 712.0], [472.0, 739.0], [424.0, 735.0]], ('0.01', 0.9818614721298218)], [[[146.0, 734.0], [373.0, 737.0], [373.0, 761.0], [146.0, 758.0]], ('Total Amount Payable', 0.9281624555587769)], [[[408.0, 736.0], [475.0, 739.0], [474.0, 764.0], [407.0, 761.0]], ('118.30', 0.9325618743896484)], [[[215.0, 763.0], [373.0, 766.0], [373.0, 790.0], [215.0, 787.0]], ('Cash Received:', 0.9228846430778503)], [[[407.0, 764.0], [474.0, 767.0], [473.0, 793.0], [406.0, 790.0]], ('120.00', 0.9926148056983948)], [[[286.0, 790.0], [374.0, 793.0], [373.0, 822.0], [285.0, 819.0]], ('Change:', 0.9165730476379395)], [[[425.0, 792.0], [474.0, 794.0], [473.0, 822.0], [424.0, 820.0]], ('1.70', 0.9938299655914307)]]	{"store_name": "PASARRAYASAROJAUTAMA", "store_addr": "", "telephone": "", "date": "01/04/2015", "time": "10:05:13", "subtotal": "", "tax": "", "total": "118.29", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "11.8kgLactogen3(tin)", "item_value": "51.50", "item_quantity": "1"}, {"item_key": "", "item_name": "2dryersdrypantzlowcountpackLPCS", "item_value": "3.90", "item_quantity": "1"}, {"item_key": "", "item_name": "3dryersweeweemegapackL68pcsPCS", "item_value": "35.90", "item_quantity": "1"}, {"item_key": "", "item_name": "4FiyyibabydiapersL60pcs", "item_value": "26.99", "item_quantity": "1"}, {"item_key": "No.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	[[[[692.0, 14.0], [1502.0, 17.0], [1502.0, 78.0], [692.0, 75.0]], ('246 Palm Coast Pkwy.N.E.', 0.8886678814888)], [[[901.0, 68.0], [1311.0, 68.0], [1311.0, 116.0], [901.0, 116.0]], ('386-445-9259', 0.9882369041442871)], [[[1275.0, 222.0], [1736.0, 196.0], [1740.0, 267.0], [1279.0, 294.0]], ('Ticket3000', 0.9945505857467651)], [[[624.0, 267.0], [974.0, 243.0], [979.0, 311.0], [629.0, 335.0]], ('WHITEROOMV', 0.9919023513793945)], [[[378.0, 277.0], [654.0, 261.0], [659.0, 332.0], [382.0, 348.0]], ('Table', 0.978742241859436)], [[[1375.0, 290.0], [1732.0, 267.0], [1737.0, 335.0], [1380.0, 358.0]], ('TERMINAL_1', 0.9772561192512512)], [[[364.0, 348.0], [939.0, 315.0], [944.0, 386.0], [368.0, 419.0]], ('ServerStephen', 0.9932699203491211)], [[[1268.0, 372.0], [1738.0, 339.0], [1744.0, 410.0], [1273.0, 443.0]], ('Date 06/27/14', 0.9581188559532166)], [[[360.0, 419.0], [637.0, 404.0], [641.0, 465.0], [364.0, 480.0]], ('06:42PM', 0.9567709565162659)], [[[378.0, 480.0], [892.0, 462.0], [894.0, 523.0], [380.0, 541.0]], ('Seat Number 1>', 0.9555016756057739)], [[[1589.0, 493.0], [1749.0, 493.0], [1749.0, 568.0], [1589.0, 568.0]], ('5.95', 0.9973124265670776)], [[[469.0, 544.0], [1077.0, 526.0], [1079.0, 588.0], [471.0, 606.0]], ('Shrimp Shumai App', 0.9498310089111328)], [[[1596.0, 571.0], [1753.0, 571.0], [1753.0, 636.0], [1596.0, 636.0]], ('4.95', 0.9930665493011475)], [[[458.0, 612.0], [917.0, 601.0], [919.0, 659.0], [460.0, 670.0]], ('Seaweed Salad', 0.9805490970611572)], [[[1596.0, 646.0], [1756.0, 646.0], [1756.0, 711.0], [1596.0, 711.0]], ('4.95', 0.9980923533439636)], [[[318.0, 674.0], [357.0, 682.0], [346.0, 737.0], [307.0, 729.0]], ('1', 0.9882133603096008)], [[[444.0, 677.0], [916.0, 662.0], [919.0, 734.0], [447.0, 749.0]], ('Seaweed Salad', 0.9723260402679443)], [[[1568.0, 717.0], [1760.0, 717.0], [1760.0, 789.0], [1568.0, 789.0]], ('15.95', 0.9980493783950806)], [[[296.0, 748.0], [337.0, 748.0], [337.0, 799.0], [296.0, 799.0]], ('1', 0.8646199107170105)], [[[431.0, 745.0], [1157.0, 734.0], [1158.0, 802.0], [432.0, 813.0]], ('LargeShrimp Teriyaki', 0.9722409248352051)], [[[1591.0, 790.0], [1763.0, 781.0], [1768.0, 859.0], [1596.0, 868.0]], ('1.95', 0.994716465473175)], [[[431.0, 819.0], [793.0, 819.0], [793.0, 877.0], [431.0, 877.0]], ('Fried Rice', 0.9533157348632812)], [[[1572.0, 867.0], [1766.0, 867.0], [1766.0, 938.0], [1572.0, 938.0]], ('12.95', 0.9969679117202759)], [[[264.0, 891.0], [309.0, 891.0], [309.0, 949.0], [264.0, 949.0]], ('1', 0.9052770733833313)], [[[406.0, 888.0], [816.0, 880.0], [818.0, 952.0], [408.0, 959.0]], ('Dragon Ro11', 0.9592840075492859)], [[[257.0, 954.0], [302.0, 965.0], [286.0, 1028.0], [241.0, 1017.0]], ('1', 0.9807049632072449)], [[[1572.0, 945.0], [1770.0, 945.0], [1770.0, 1017.0], [1572.0, 1017.0]], ('13.95', 0.9973052144050598)], [[[392.0, 959.0], [924.0, 948.0], [926.0, 1030.0], [394.0, 1041.0]], ('KoKoRo Special', 0.9443063735961914)], [[[1575.0, 1023.0], [1777.0, 1023.0], [1777.0, 1095.0], [1575.0, 1095.0]], ('11.95', 0.9966907501220703)], [[[233.0, 1040.0], [278.0, 1040.0], [278.0, 1098.0], [233.0, 1098.0]], ('1', 0.9354414939880371)], [[[382.0, 1041.0], [948.0, 1030.0], [950.0, 1101.0], [383.0, 1112.0]], ('Palm Coast Ro11', 0.9049552083015442)], [[[1575.0, 1102.0], [1780.0, 1102.0], [1780.0, 1176.0], [1575.0, 1176.0]], ('15.95', 0.9964991807937622)], [[[219.0, 1115.0], [264.0, 1115.0], [264.0, 1176.0], [219.0, 1176.0]], ('1', 0.9629865884780884)], [[[376.0, 1115.0], [1064.0, 1115.0], [1064.0, 1183.0], [376.0, 1183.0]], ('Year of the Dragon', 0.9584109783172607)], [[[205.0, 1193.0], [247.0, 1193.0], [247.0, 1258.0], [205.0, 1258.0]], ('1', 0.5482628345489502)], [[[355.0, 1193.0], [522.0, 1193.0], [522.0, 1268.0], [355.0, 1268.0]], ('Coke', 0.9967299699783325)], [[[1609.0, 1184.0], [1784.0, 1175.0], [1789.0, 1253.0], [1613.0, 1262.0]], ('1.95', 0.995312511920929)], [[[177.0, 1272.0], [233.0, 1272.0], [233.0, 1343.0], [177.0, 1343.0]], ('1', 0.9814755916595459)], [[[339.0, 1268.0], [665.0, 1276.0], [663.0, 1357.0], [337.0, 1349.0]], ('Iced Tea', 0.957390308380127)], [[[1617.0, 1268.0], [1791.0, 1268.0], [1791.0, 1346.0], [1617.0, 1346.0]], ('1.95', 0.9922744631767273)], [[[163.0, 1357.0], [219.0, 1357.0], [219.0, 1428.0], [163.0, 1428.0]], ('1', 0.9883326888084412)], [[[325.0, 1349.0], [654.0, 1357.0], [652.0, 1442.0], [323.0, 1434.0]], ('Iced Tea', 0.9707342386245728)], [[[1624.0, 1357.0], [1798.0, 1357.0], [1798.0, 1435.0], [1624.0, 1435.0]], ('1.95', 0.9971764087677002)], [[[908.0, 1533.0], [1287.0, 1533.0], [1287.0, 1615.0], [908.0, 1615.0]], ('Sub Total', 0.9578539729118347)], [[[1579.0, 1533.0], [1808.0, 1533.0], [1808.0, 1618.0], [1579.0, 1618.0]], ('94.40', 0.9945693016052246)], [[[902.0, 1625.0], [1294.0, 1632.0], [1292.0, 1714.0], [900.0, 1706.0]], ('State Tax', 0.971935510635376)], [[[1624.0, 1629.0], [1812.0, 1629.0], [1812.0, 1717.0], [1624.0, 1717.0]], ('6.61', 0.9968116283416748)], [[[895.0, 1726.0], [1809.0, 1741.0], [1806.0, 1884.0], [893.0, 1869.0]], ('Check Total $ 101.01', 0.9131175875663757)], [[[606.0, 1978.0], [1367.0, 1993.0], [1365.0, 2085.0], [604.0, 2070.0]], ('15% tip is15.15', 0.9387191534042358)], [[[592.0, 2091.0], [1364.0, 2102.0], [1362.0, 2193.0], [591.0, 2182.0]], ('18% tip is 18.18', 0.935076117515564)], [[[572.0, 2196.0], [1360.0, 2214.0], [1358.0, 2309.0], [570.0, 2291.0]], ('20% tip is 20.20', 0.9351650476455688)], [[[554.0, 2311.0], [1364.0, 2326.0], [1362.0, 2432.0], [552.0, 2417.0]], ('22% tip is 22.22', 0.9334461688995361)], [[[159.0, 2671.0], [1549.0, 2718.0], [1545.0, 2823.0], [155.0, 2777.0]], ('Thank you for dining with us', 0.9566356539726257)], [[[246.0, 2811.0], [1611.0, 2854.0], [1608.0, 2956.0], [242.0, 2913.0]], ('Sign up for e-newsletter at', 0.9667966365814209)], [[[354.0, 2946.0], [1486.0, 2997.0], [1482.0, 3099.0], [350.0, 3048.0]], ('www.KokoroSushiBar.com', 0.9574336409568787)], [[[355.0, 3082.0], [1452.0, 3130.0], [1446.0, 3245.0], [350.0, 3198.0]], ('See us on Facebook!!', 0.9342471361160278)]]	{"store_name": "", "store_addr": "246PalmCoastPkwy.N.E.", "telephone": "386-445-9259", "date": "06/27/14", "time": "06:42PM", "subtotal": "94.40", "tax": "6.61", "total": "$101.01", "ignore": "", "tips": "22.22 20.20 18.18 15.15", "line_items": [{"item_key": "", "item_name": "IcedTea", "item_value": "5.95", "item_quantity": "1"}, {"item_key": "", "item_name": "IcedTea", "item_value": "4.95", "item_quantity": "1"}, {"item_key": "", "item_name": "Coke", "item_value": "4.95", "item_quantity": "1"}, {"item_key": "", "item_name": "YearoftheDragon", "item_value": "15.95", "item_quantity": "1"}, {"item_key": "", "item_name": "PalmCoastRoll", "item_value": "1.95", "item_quantity": "1"}, {"item_key": "", "item_name": "KoKoRoSpecial", "item_value": "12.95", "item_quantity": "1"}, {"item_key": "", "item_name": "DragonRoll", "item_value": "13.95", "item_quantity": "1"}, {"item_key": "", "item_name": "FriedRice", "item_value": "11.95", "item_quantity": "1"}, {"item_key": "", "item_name": "LargeShrimpTeriyaki", "item_value": "15.95", "item_quantity": "1"}, {"item_key": "", "item_name": "SeaweedSalad", "item_value": "1.95", "item_quantity": "1"}, {"item_key": "", "item_name": "SeaweedSalad", "item_value": "1.95", "item_quantity": "1"}, {"item_key": "", "item_name": "ShrimpShumaiApp.", "item_value": "1.95", "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	[[[[165.0, 15.0], [342.0, 20.0], [341.0, 35.0], [164.0, 30.0]], ('11/32011221PM', 0.8995414972305298)], [[[162.0, 29.0], [220.0, 33.0], [219.0, 44.0], [161.0, 40.0]], ('Store', 0.8975655436515808)], [[[429.0, 21.0], [640.0, 37.0], [639.0, 55.0], [427.0, 39.0]], ('Sales Receipt #14414', 0.8945606350898743)], [[[294.0, 84.0], [532.0, 96.0], [530.0, 133.0], [292.0, 120.0]], ('specalTre', 0.6266624331474304)], [[[223.0, 241.0], [579.0, 264.0], [577.0, 292.0], [221.0, 269.0]], ('specialTEA Lounge & Cafe', 0.9445223808288574)], [[[314.0, 277.0], [492.0, 290.0], [490.0, 311.0], [312.0, 297.0]], ('10766SW24ST', 0.9884691834449768)], [[[313.0, 305.0], [503.0, 318.0], [502.0, 339.0], [311.0, 326.0]], ('Miami.FL33165', 0.9677718281745911)], [[[320.0, 333.0], [477.0, 343.0], [475.0, 364.0], [319.0, 354.0]], ('305-554-TEAS', 0.9865257143974304)], [[[231.0, 355.0], [565.0, 375.0], [563.0, 400.0], [230.0, 380.0]], ('[email protected]', 0.9780661463737488)], [[[288.0, 389.0], [507.0, 401.0], [505.0, 422.0], [287.0, 410.0]], ('www tea-lounge.com', 0.9660149812698364)], [[[106.0, 421.0], [237.0, 430.0], [236.0, 451.0], [105.0, 443.0]], ('Item Name', 0.9442026615142822)], [[[379.0, 435.0], [421.0, 439.0], [418.0, 464.0], [377.0, 460.0]], ('Qty', 0.9956345558166504)], [[[463.0, 439.0], [524.0, 443.0], [522.0, 466.0], [461.0, 462.0]], ('Price', 0.9980602264404297)], [[[106.0, 450.0], [294.0, 461.0], [293.0, 483.0], [105.0, 471.0]], ('PPesto Chicken', 0.9523245096206665)], [[[544.0, 443.0], [646.0, 449.0], [644.0, 472.0], [543.0, 466.0]], ('Ext Price', 0.9364825487136841)], [[[405.0, 467.0], [420.0, 467.0], [420.0, 489.0], [405.0, 489.0]], ('1', 0.9813446998596191)], [[[459.0, 466.0], [525.0, 470.0], [523.0, 494.0], [458.0, 490.0]], ('$6.00', 0.9845713376998901)], [[[103.0, 481.0], [241.0, 489.0], [240.0, 511.0], [101.0, 503.0]], ('NO:Cheese', 0.962762176990509)], [[[585.0, 474.0], [670.0, 477.0], [669.0, 500.0], [584.0, 497.0]], ('609$', 0.6027907133102417)], [[[402.0, 495.0], [419.0, 495.0], [419.0, 517.0], [402.0, 517.0]], ('1', 0.9813846349716187)], [[[458.0, 497.0], [523.0, 499.0], [522.0, 522.0], [457.0, 520.0]], ('$0.00', 0.9972547292709351)], [[[100.0, 509.0], [258.0, 519.0], [257.0, 544.0], [98.0, 534.0]], ('PCoco-Curry', 0.9372384548187256)], [[[587.0, 502.0], [671.0, 507.0], [670.0, 530.0], [585.0, 525.0]], ('000$', 0.7105777263641357)], [[[399.0, 526.0], [416.0, 524.0], [419.0, 545.0], [402.0, 548.0]], ('1', 0.9731403589248657)], [[[458.0, 526.0], [524.0, 530.0], [522.0, 554.0], [457.0, 550.0]], ('$7.00', 0.9970304369926453)], [[[585.0, 531.0], [676.0, 535.0], [675.0, 560.0], [584.0, 556.0]], ('$7.00T', 0.9754902720451355)], [[[96.0, 541.0], [239.0, 548.0], [238.0, 574.0], [95.0, 567.0]], ('"Dirty"Chips', 0.9092006683349609)], [[[402.0, 556.0], [416.0, 556.0], [416.0, 576.0], [402.0, 576.0]], ('1', 0.9618909955024719)], [[[457.0, 555.0], [525.0, 558.0], [523.0, 584.0], [456.0, 581.0]], ('$0.00', 0.9880408048629761)], [[[586.0, 561.0], [675.0, 565.0], [674.0, 590.0], [585.0, 586.0]], ('S000T', 0.7621169686317444)], [[[431.0, 584.0], [552.0, 590.0], [551.0, 615.0], [429.0, 609.0]], ('D%100%', 0.9864853024482727)], [[[92.0, 606.0], [274.0, 613.0], [273.0, 638.0], [91.0, 631.0]], ('Regular Tea (M)', 0.9078275561332703)], [[[401.0, 619.0], [415.0, 619.0], [415.0, 639.0], [401.0, 639.0]], ('1', 0.967700183391571)], [[[455.0, 617.0], [523.0, 620.0], [522.0, 646.0], [454.0, 643.0]], ('$3.00', 0.9975522756576538)], [[[586.0, 623.0], [676.0, 626.0], [675.0, 651.0], [585.0, 648.0]], ('$3.00 T', 0.9191223978996277)], [[[91.0, 638.0], [298.0, 646.0], [298.0, 668.0], [90.0, 660.0]], ('China W.Jasmine', 0.9557939767837524)], [[[398.0, 649.0], [415.0, 649.0], [415.0, 672.0], [398.0, 672.0]], ('1', 0.9535191059112549)], [[[455.0, 649.0], [523.0, 651.0], [522.0, 677.0], [454.0, 675.0]], ('$0.00', 0.9954097867012024)], [[[586.0, 654.0], [677.0, 658.0], [676.0, 684.0], [585.0, 680.0]], ('$0.00 T', 0.8581510782241821)], [[[97.0, 668.0], [220.0, 673.0], [219.0, 698.0], [96.0, 693.0]], ('Green Tea', 0.9710697531700134)], [[[84.0, 701.0], [219.0, 705.0], [218.0, 730.0], [84.0, 726.0]], ('FOR HERE', 0.9519305229187012)], [[[396.0, 712.0], [413.0, 712.0], [413.0, 734.0], [396.0, 734.0]], ('1', 0.989596426486969)], [[[453.0, 712.0], [521.0, 715.0], [520.0, 741.0], [452.0, 738.0]], ('$0.00', 0.9979995489120483)], [[[586.0, 717.0], [677.0, 720.0], [676.0, 746.0], [585.0, 744.0]], ('S000T', 0.6770276427268982)], [[[448.0, 746.0], [546.0, 750.0], [545.0, 773.0], [446.0, 768.0]], ('Subtotal:', 0.986454427242279)], [[[603.0, 753.0], [681.0, 753.0], [681.0, 776.0], [603.0, 776.0]], ('$16.00', 0.9967709183692932)], [[[151.0, 767.0], [332.0, 774.0], [331.0, 799.0], [150.0, 792.0]], ('Locai Sales Tax', 0.9305906295776367)], [[[446.0, 777.0], [543.0, 783.0], [541.0, 808.0], [444.0, 802.0]], ('7% Tax', 0.9123193621635437)], [[[594.0, 783.0], [681.0, 786.0], [681.0, 811.0], [593.0, 808.0]], ('+$1.12', 0.9907681345939636)], [[[502.0, 809.0], [546.0, 816.0], [542.0, 845.0], [498.0, 839.0]], ('Tip:', 0.971531331539154)], [[[614.0, 818.0], [679.0, 818.0], [679.0, 841.0], [614.0, 841.0]], ('$3.00', 0.9958018064498901)], [[[333.0, 840.0], [540.0, 848.0], [539.0, 872.0], [332.0, 864.0]], ('RECEIPT TOTAL:', 0.9538618922233582)], [[[597.0, 848.0], [678.0, 850.0], [677.0, 876.0], [596.0, 874.0]], ('$20.12', 0.9935296177864075)]]	{"store_name": "specialTEA", "store_addr": "10766SW24ST Miami.FL33165 305-554TEAS", "telephone": "", "date": "", "time": "", "subtotal": "$16.00", "tax": "+$1.12", "total": "$20.12", "ignore": " ", "tips": "$3.00", "line_items": [{"item_key": "", "item_name": "P:PestoChicken", "item_value": "$6.00", "item_quantity": "1"}, {"item_key": "", "item_name": "NO:Cheese", "item_value": "$0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "P:Coco-Curry", "item_value": "$7.00", "item_quantity": "1"}, {"item_key": "", "item_name": "\"Dirty\" Chips", "item_value": "$0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "RegularTea(M)", "item_value": "$3.00", "item_quantity": "1"}, {"item_key": "", "item_name": "ChinaW.Jasmine", "item_value": "$0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "GreenTea", "item_value": "$0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "FORHERE", "item_value": "", "item_quantity": ""}, {"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	[[[[126.0, 93.0], [501.0, 90.0], [501.0, 122.0], [126.0, 125.0]], ('1Large595 CHEESE', 0.9470674991607666)], [[[670.0, 92.0], [749.0, 92.0], [749.0, 125.0], [670.0, 125.0]], ('5.95', 0.993414580821991)], [[[177.0, 129.0], [483.0, 129.0], [483.0, 162.0], [177.0, 162.0]], ('Butter Chz', 0.9124087691307068)], [[[539.0, 130.0], [598.0, 130.0], [598.0, 162.0], [539.0, 162.0]], ('', 0.9564061164855957)], [[[124.0, 171.0], [499.0, 171.0], [499.0, 201.0], [124.0, 201.0]], ('1Large595 CHEESE', 0.95281982421875)], [[[670.0, 170.0], [751.0, 167.0], [752.0, 201.0], [671.0, 204.0]], ('5.95', 0.8718686103820801)], [[[173.0, 210.0], [237.0, 210.0], [237.0, 239.0], [173.0, 239.0]], ('', 0.9135658144950867)], [[[284.0, 210.0], [482.0, 210.0], [482.0, 240.0], [284.0, 240.0]], ('Butter Chz', 0.9491742849349976)], [[[539.0, 210.0], [599.0, 210.0], [599.0, 242.0], [539.0, 242.0]], ('**', 0.9469240307807922)], [[[170.0, 243.0], [237.0, 248.0], [234.0, 282.0], [167.0, 277.0]], ('Ham', 0.8596146702766418)], [[[673.0, 250.0], [754.0, 250.0], [754.0, 281.0], [673.0, 281.0]], ('1.55', 0.9776473045349121)], [[[169.0, 285.0], [325.0, 290.0], [324.0, 322.0], [168.0, 316.0]], ('X Cheese', 0.9160913228988647)], [[[674.0, 285.0], [760.0, 288.0], [758.0, 324.0], [672.0, 321.0]], ('1.55', 0.9891301393508911)], [[[420.0, 412.0], [576.0, 412.0], [576.0, 444.0], [420.0, 444.0]], ('Subtotal', 0.9962259531021118)], [[[659.0, 411.0], [763.0, 411.0], [763.0, 446.0], [659.0, 446.0]], ('15.00', 0.9914072155952454)], [[[517.0, 451.0], [583.0, 454.0], [581.0, 488.0], [516.0, 484.0]], ('Tax', 0.9844720959663391)], [[[678.0, 454.0], [763.0, 454.0], [763.0, 486.0], [678.0, 486.0]], ('0.98', 0.9408542513847351)], [[[477.0, 492.0], [580.0, 492.0], [580.0, 528.0], [477.0, 528.0]], ('Total', 0.9976055026054382)], [[[660.0, 494.0], [764.0, 494.0], [764.0, 529.0], [660.0, 529.0]], ('15.98', 0.9692824482917786)], [[[287.0, 652.0], [563.0, 655.0], [563.0, 720.0], [286.0, 717.0]], ('DELIVERY NOTE', 0.9718371629714966)], [[[72.0, 782.0], [644.0, 789.0], [643.0, 848.0], [71.0, 841.0]], ('BEWARE OF THE NINJAS IN THE', 0.94020676612854)], [[[70.0, 861.0], [309.0, 865.0], [308.0, 927.0], [68.0, 922.0]], ('PARKING LOT', 0.9534422159194946)], [[[454.0, 949.0], [473.0, 949.0], [473.0, 989.0], [454.0, 989.0]], ('Soe', 0.535634458065033)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "", "time": "", "subtotal": "15.00", "tax": "0.98", "total": "15.98", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "Large.595CHEESE", "item_value": "5.95", "item_quantity": "1"}, {"item_key": "", "item_name": "Large.595CHEESE", "item_value": "5.95", "item_quantity": "1"}, {"item_key": "", "item_name": "Ham", "item_value": "1.55", "item_quantity": "1"}, {"item_key": "", "item_name": "XCheese", "item_value": "1.55", "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	[[[[251.0, 164.0], [342.0, 164.0], [342.0, 191.0], [251.0, 191.0]], ('FACTURE', 0.9958706498146057)], [[[82.0, 191.0], [533.0, 196.0], [533.0, 223.0], [81.0, 217.0]], ("Restaurant McDonald's de PARIS CRIMEE", 0.9398569464683533)], [[[163.0, 222.0], [436.0, 225.0], [436.0, 251.0], [163.0, 249.0]], ('87avenuede Flandres', 0.9606521725654602)], [[[212.0, 252.0], [377.0, 255.0], [377.0, 281.0], [211.0, 279.0]], ('75019PARIS', 0.994533360004425)], [[[187.0, 282.0], [413.0, 284.0], [413.0, 310.0], [187.0, 309.0]], ('Tel 014036 2804', 0.9249714016914368)], [[[77.0, 311.0], [510.0, 315.0], [510.0, 341.0], [76.0, 337.0]], ('SIRET410276026-00029-APE553 B', 0.9271575808525085)], [[[66.0, 401.0], [226.0, 401.0], [226.0, 428.0], [66.0, 428.0]], ('Caissier #41', 0.9373681545257568)], [[[65.0, 433.0], [238.0, 433.0], [238.0, 458.0], [65.0, 458.0]], ('Restaurant_765', 0.9694823026657104)], [[[63.0, 461.0], [518.0, 466.0], [517.0, 493.0], [62.0, 487.0]], ('#CDE 914 -CSE01-10/03/201222:22:48', 0.9323915243148804)], [[[62.0, 522.0], [226.0, 522.0], [226.0, 549.0], [62.0, 549.0]], ('QTE PRODUIT', 0.9514421820640564)], [[[393.0, 524.0], [447.0, 524.0], [447.0, 551.0], [393.0, 551.0]], ('UNIT', 0.996741533279419)], [[[464.0, 522.0], [532.0, 525.0], [530.0, 557.0], [462.0, 553.0]], ('TOTAL', 0.9981316328048706)], [[[72.0, 552.0], [226.0, 555.0], [225.0, 581.0], [71.0, 579.0]], ('1Moyen Coca', 0.9656152129173279)], [[[390.0, 554.0], [447.0, 554.0], [447.0, 582.0], [390.0, 582.0]], ('2.30', 0.994263768196106)], [[[475.0, 556.0], [531.0, 556.0], [531.0, 585.0], [475.0, 585.0]], ('2.30', 0.9945354461669922)], [[[72.0, 581.0], [236.0, 584.0], [235.0, 611.0], [71.0, 609.0]], ('1 Moyen Ice T', 0.899921178817749)], [[[388.0, 579.0], [449.0, 583.0], [447.0, 616.0], [386.0, 612.0]], ('2.30', 0.9931535720825195)], [[[475.0, 586.0], [531.0, 586.0], [531.0, 615.0], [475.0, 615.0]], ('2.30', 0.9887096881866455)], [[[72.0, 611.0], [212.0, 614.0], [211.0, 640.0], [71.0, 637.0]], ('1McChicken', 0.9914602041244507)], [[[389.0, 612.0], [448.0, 615.0], [446.0, 644.0], [387.0, 641.0]], ('2.00', 0.9951305389404297)], [[[475.0, 616.0], [531.0, 616.0], [531.0, 645.0], [475.0, 645.0]], ('2.00', 0.9870198369026184)], [[[70.0, 638.0], [153.0, 642.0], [152.0, 673.0], [68.0, 670.0]], ('1Hamb', 0.9821681976318359)], [[[391.0, 644.0], [446.0, 644.0], [446.0, 674.0], [391.0, 674.0]], ('1.00', 0.993536114692688)], [[[474.0, 645.0], [533.0, 645.0], [533.0, 678.0], [474.0, 678.0]], ('1.00', 0.9672122001647949)], [[[95.0, 672.0], [305.0, 675.0], [304.0, 701.0], [94.0, 699.0]], ('1 Sans Ketchup', 0.9393212199211121)], [[[71.0, 699.0], [235.0, 703.0], [234.0, 733.0], [70.0, 729.0]], ('2 Petit Frite', 0.9337583780288696)], [[[387.0, 702.0], [446.0, 702.0], [446.0, 736.0], [387.0, 736.0]], ('1.00', 0.993030309677124)], [[[470.0, 702.0], [533.0, 706.0], [531.0, 738.0], [468.0, 734.0]], ('2.00', 0.9840440154075623)], [[[60.0, 760.0], [377.0, 763.0], [377.0, 793.0], [60.0, 790.0]], ('Total Sur Place TVA INCL', 0.9114792943000793)], [[[470.0, 761.0], [532.0, 764.0], [530.0, 797.0], [468.0, 793.0]], ('9.60', 0.9890842437744141)], [[[58.0, 791.0], [80.0, 793.0], [76.0, 819.0], [55.0, 817.0]], ('E', 0.607815682888031)], [[[463.0, 796.0], [529.0, 796.0], [529.0, 825.0], [463.0, 825.0]], ('20.00', 0.9919602274894714)], [[[56.0, 818.0], [125.0, 822.0], [124.0, 855.0], [54.0, 852.0]], ('Rendu', 0.9961766004562378)], [[[461.0, 823.0], [531.0, 827.0], [529.0, 859.0], [460.0, 856.0]], ('10.40', 0.929999828338623)], [[[55.0, 879.0], [527.0, 886.0], [526.0, 915.0], [55.0, 907.0]], ('029.60TVAA700%INCL=0.63', 0.9025779366493225)], [[[167.0, 942.0], [427.0, 945.0], [427.0, 974.0], [167.0, 971.0]], ('Merci de votre visite', 0.939060389995575)], [[[240.0, 976.0], [353.0, 976.0], [353.0, 1002.0], [240.0, 1002.0]], ('A bientot', 0.9437214732170105)], [[[102.0, 1005.0], [464.0, 1009.0], [464.0, 1034.0], [102.0, 1030.0]], ('Biere soumise a TVA de 19.60%', 0.9233642220497131)], [[[139.0, 1062.0], [438.0, 1064.0], [438.0, 1094.0], [139.0, 1092.0]], ('ketchup et sauces frites', 0.9665597081184387)], [[[132.0, 1095.0], [449.0, 1099.0], [448.0, 1125.0], [131.0, 1121.0]], ('disponible a votre demande', 0.9590482711791992)]]	{"store_name": "FACTURE RestaurantMcDonald'sdePARISCRIMEE", "store_addr": "87,avenuedeFlandres 75019PARIS", "telephone": "0140362804", "date": "10/03/2012", "time": "22:22:48", "subtotal": "", "tax": "", "total": "9.60", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "Hamb", "item_value": "2.00", "item_quantity": "1"}, {"item_key": "", "item_name": "McChicken", "item_value": "1.00", "item_quantity": "1"}, {"item_key": "", "item_name": "MonyenIceT", "item_value": "2.00", "item_quantity": "1"}, {"item_key": "", "item_name": "MoyenCoca", "item_value": "2.30", "item_quantity": "1"}, {"item_key": "", "item_name": "PetitFrite", "item_value": "2.30", "item_quantity": "1"}, {"item_key": "PRODUIT", "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	[[[[245.0, 0.0], [335.0, 0.0], [335.0, 17.0], [245.0, 15.0]], ('104739998', 0.9689987897872925)], [[[221.0, 14.0], [376.0, 23.0], [375.0, 44.0], [220.0, 35.0]], ('3558250113-0096', 0.9952090382575989)], [[[239.0, 90.0], [379.0, 94.0], [378.0, 118.0], [238.0, 115.0]], ('Sales Receipt', 0.9851519465446472)], [[[97.0, 103.0], [179.0, 113.0], [176.0, 138.0], [94.0, 128.0]], ('Product', 0.9973684549331665)], [[[271.0, 118.0], [369.0, 121.0], [368.0, 142.0], [271.0, 139.0]], ('Sale Unit', 0.9499483108520508)], [[[425.0, 120.0], [479.0, 124.0], [477.0, 151.0], [423.0, 147.0]], ('Fina', 0.9966222643852234)], [[[97.0, 132.0], [221.0, 144.0], [219.0, 168.0], [95.0, 156.0]], ('Description', 0.9964488744735718)], [[[269.0, 142.0], [381.0, 145.0], [380.0, 170.0], [269.0, 167.0]], ('Qty Price', 0.9505087733268738)], [[[427.0, 148.0], [485.0, 151.0], [483.0, 174.0], [425.0, 170.0]], ('Price', 0.9989687204360962)], [[[95.0, 186.0], [368.0, 197.0], [367.0, 224.0], [94.0, 213.0]], ('@@~STORRS MANSFIELD CT', 0.9212436079978943)], [[[429.0, 198.0], [497.0, 198.0], [497.0, 224.0], [429.0, 224.0]], ('$16.85', 0.9960377812385559)], [[[98.0, 214.0], [230.0, 222.0], [229.0, 244.0], [96.0, 236.0]], ('06268 Zone-2', 0.9570839405059814)], [[[94.0, 241.0], [302.0, 250.0], [301.0, 274.0], [93.0, 266.0]], ('Priority Mail 2-Day', 0.9232410788536072)], [[[93.0, 271.0], [303.0, 275.0], [303.0, 298.0], [92.0, 294.0]], ("Large F'at Rate Box", 0.9206297993659973)], [[[93.0, 297.0], [254.0, 301.0], [253.0, 324.0], [92.0, 320.0]], ('21b.1i.30oz', 0.8889738321304321)], [[[103.0, 325.0], [400.0, 328.0], [400.0, 353.0], [103.0, 349.0]], ('Schedu ed Deljery Day: Wed', 0.907362699508667)], [[[103.0, 353.0], [196.0, 353.0], [196.0, 378.0], [103.0, 378.0]], ('08/07/3', 0.9810382127761841)], [[[102.0, 381.0], [345.0, 382.0], [345.0, 406.0], [102.0, 405.0]], ('Includes $50 insurance', 0.9600353837013245)], [[[100.0, 436.0], [191.0, 436.0], [191.0, 460.0], [100.0, 460.0]], ('Label #', 0.8711158633232117)], [[[99.0, 464.0], [400.0, 463.0], [400.0, 487.0], [99.0, 488.0]], ('9505501 5366 3217 6010 71', 0.9250867366790771)], [[[95.0, 521.0], [212.0, 518.0], [213.0, 546.0], [96.0, 548.0]], ('Issue PVI:', 0.9323115348815918)], [[[435.0, 523.0], [506.0, 523.0], [506.0, 549.0], [435.0, 549.0]], ('$16.85', 0.9953486919403076)]]	{"store_name": "", "store_addr": "", "telephone": "3558250113-0096 (800)275-8777", "date": "08/05/2013", "time": "04:42:16PM", "subtotal": "", "tax": "", "total": "$16.85", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "STORRSMANSFIELDCT", "item_value": "$16.85", "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	[[[[89.0, 49.0], [247.0, 38.0], [249.0, 77.0], [91.0, 87.0]], ('CURRYOYA', 0.9401962757110596)], [[[82.0, 103.0], [155.0, 105.0], [155.0, 116.0], [82.0, 114.0]], ('CURRY-YA MALAGA SL', 0.8935201168060303)], [[[83.0, 94.0], [213.0, 94.0], [213.0, 107.0], [83.0, 107.0]], ('CALLE ALAMOS N-6CP29012MALAGA', 0.8664984703063965)], [[[82.0, 112.0], [140.0, 115.0], [140.0, 126.0], [81.0, 123.0]], ('CIF893471886', 0.8973128795623779)], [[[150.0, 129.0], [186.0, 132.0], [185.0, 144.0], [150.0, 141.0]], ('CURRY YA', 0.9143314957618713)], [[[82.0, 150.0], [198.0, 150.0], [198.0, 163.0], [82.0, 163.0]], ('MESAG5 Co0', 0.8787122964859009)], [[[80.0, 171.0], [189.0, 169.0], [189.0, 182.0], [80.0, 184.0]], ('FECHA26/01/201714:17:31', 0.9336255788803101)], [[[82.0, 194.0], [106.0, 194.0], [106.0, 203.0], [82.0, 203.0]], ('nt...', 0.8184827566146851)], [[[104.0, 192.0], [166.0, 192.0], [166.0, 202.0], [104.0, 202.0]], ('DescrpcEuros', 0.8964118361473083)], [[[174.0, 190.0], [233.0, 191.0], [233.0, 202.0], [174.0, 201.0]], ('Precio Sman', 0.8541132211685181)], [[[88.0, 212.0], [163.0, 211.0], [163.0, 222.0], [88.0, 223.0]], ('3COCA-COLA 2.00', 0.8031485080718994)], [[[182.0, 211.0], [205.0, 211.0], [205.0, 222.0], [182.0, 222.0]], ('2.00', 0.9869176745414734)], [[[215.0, 211.0], [236.0, 211.0], [236.0, 223.0], [215.0, 223.0]], ('6.00', 0.923281192779541)], [[[89.0, 223.0], [160.0, 223.0], [160.0, 233.0], [89.0, 233.0]], ('1 GYOZAS VEGETAL', 0.9164680242538452)], [[[183.0, 221.0], [205.0, 221.0], [205.0, 233.0], [183.0, 233.0]], ('5.50', 0.9882233142852783)], [[[215.0, 219.0], [238.0, 219.0], [238.0, 234.0], [215.0, 234.0]], ('5.50', 0.9738696813583374)], [[[88.0, 232.0], [168.0, 231.0], [168.0, 244.0], [88.0, 245.0]], ('1KONOMIYAKI LOMO', 0.9282125234603882)], [[[183.0, 232.0], [205.0, 232.0], [205.0, 243.0], [183.0, 243.0]], ('9.50', 0.9497026205062866)], [[[215.0, 229.0], [238.0, 229.0], [238.0, 244.0], [215.0, 244.0]], ('9.50', 0.9826174378395081)], [[[87.0, 243.0], [209.0, 240.0], [209.0, 253.0], [88.0, 256.0]], ('1CURRY CHICKEN-KATSU7.50', 0.8770607113838196)], [[[215.0, 242.0], [238.0, 242.0], [238.0, 253.0], [215.0, 253.0]], ('7.50', 0.9585262537002563)], [[[86.0, 253.0], [227.0, 251.0], [228.0, 265.0], [87.0, 267.0]], ('1MOCHI MANG 0.00<Inv1tacon', 0.7747353315353394)], [[[88.0, 266.0], [226.0, 263.0], [227.0, 274.0], [88.0, 277.0]], ('1MOCHI TART 0.00<Invitacin', 0.8077142238616943)], [[[77.0, 289.0], [126.0, 285.0], [127.0, 299.0], [78.0, 303.0]], ('Imp:10.00%', 0.8706499338150024)], [[[148.0, 287.0], [175.0, 287.0], [175.0, 300.0], [148.0, 300.0]], ('25.91', 0.9842160940170288)], [[[192.0, 285.0], [214.0, 285.0], [214.0, 297.0], [192.0, 297.0]], ('2.59', 0.9615206122398376)], [[[231.0, 284.0], [255.0, 284.0], [255.0, 296.0], [231.0, 296.0]], ('28.50', 0.9756377339363098)], [[[79.0, 312.0], [133.0, 312.0], [133.0, 323.0], [79.0, 323.0]], ('TOTAL.', 0.9640588760375977)], [[[210.0, 308.0], [258.0, 305.0], [259.0, 319.0], [211.0, 322.0]], ('28.50', 0.9824352264404297)], [[[74.0, 337.0], [153.0, 334.0], [154.0, 347.0], [74.0, 350.0]], ('LE ATENDIO CAJA', 0.9266453981399536)], [[[74.0, 349.0], [153.0, 346.0], [154.0, 361.0], [74.0, 363.0]], ('MESAG5', 0.9935957789421082)], [[[130.0, 360.0], [192.0, 357.0], [192.0, 371.0], [131.0, 374.0]], ('IVA INCLUIDO', 0.9546336531639099)], [[[112.0, 375.0], [215.0, 370.0], [215.0, 384.0], [113.0, 388.0]], ('GRACIAS POR SU VISITA', 0.9476571083068848)]]	{"store_name": "", "store_addr": "CALLEALAMOSN-BCP:28012MALAGA CURRY-YAMALAGASL", "telephone": "", "date": "26/01/2017", "time": "14:17:31", "subtotal": "25.91", "tax": "2.59", "total": "28.50 28.50", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "COCA-COLA", "item_value": "6.00", "item_quantity": "1"}, {"item_key": "", "item_name": "GYOZASVEGETAL", "item_value": "5.50", "item_quantity": "1"}, {"item_key": "", "item_name": "CKONOMIYAKILOMO", "item_value": "9.50", "item_quantity": "1"}, {"item_key": "", "item_name": "CURRYCHICKEN-KATSU", "item_value": "7.50", "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	[[[[134.0, 7.0], [203.0, 16.0], [201.0, 30.0], [132.0, 21.0]], ('310.247.0400', 0.9714992642402649)], [[[160.0, 0.0], [236.0, 3.0], [234.0, 17.0], [159.0, 10.0]], ('SCA.90048', 0.9238349199295044)], [[[140.0, 24.0], [195.0, 32.0], [193.0, 47.0], [138.0, 39.0]], ('Thank you!', 0.9337226748466492)], [[[86.0, 119.0], [233.0, 130.0], [232.0, 147.0], [85.0, 136.0]], ('320056', 0.9773953557014465)], [[[95.0, 144.0], [236.0, 153.0], [235.0, 166.0], [95.0, 158.0]], ('Cashier KARINA CAMACHO', 0.9358206391334534)], [[[73.0, 157.0], [211.0, 162.0], [210.0, 176.0], [73.0, 171.0]], ('CheckinD/T05/11/1710.06', 0.9269131422042847)], [[[64.0, 169.0], [211.0, 174.0], [210.0, 188.0], [63.0, 183.0]], ('CheckOut D/T05/11/17 16.22', 0.9075207114219666)], [[[62.0, 183.0], [178.0, 185.0], [178.0, 199.0], [62.0, 197.0]], ('Duration Time6h 16m', 0.9335889220237732)], [[[69.0, 205.0], [210.0, 208.0], [209.0, 226.0], [69.0, 222.0]], ('Make/Model.HONDA/CIVIC', 0.9303195476531982)], [[[103.0, 198.0], [143.0, 198.0], [143.0, 209.0], [103.0, 209.0]], ('Plate#', 0.9689817428588867)], [[[105.0, 222.0], [176.0, 219.0], [176.0, 233.0], [105.0, 235.0]], ('Color. SILVER', 0.8546682000160217)], [[[98.0, 232.0], [218.0, 233.0], [217.0, 250.0], [98.0, 249.0]], ('Comp Upset Customer', 0.9613596200942993)], [[[46.0, 260.0], [136.0, 258.0], [137.0, 274.0], [47.0, 276.0]], ('Parking Charge', 0.9850656390190125)], [[[152.0, 254.0], [191.0, 256.0], [190.0, 271.0], [151.0, 269.0]], ('$46.20', 0.9704830050468445)], [[[85.0, 273.0], [135.0, 271.0], [136.0, 285.0], [85.0, 287.0]], ('Discount', 0.9919047355651855)], [[[152.0, 268.0], [192.0, 268.0], [192.0, 282.0], [152.0, 282.0]], ('$46.20', 0.9221062660217285)], [[[92.0, 285.0], [134.0, 285.0], [134.0, 299.0], [92.0, 299.0]], ('Charge', 0.99513179063797)], [[[158.0, 281.0], [190.0, 281.0], [190.0, 295.0], [158.0, 295.0]], ('$0.00', 0.9692727327346802)], [[[87.0, 298.0], [133.0, 295.0], [134.0, 310.0], [88.0, 313.0]], ('Tax%10', 0.987396776676178)], [[[159.0, 293.0], [189.0, 293.0], [189.0, 306.0], [159.0, 306.0]], ('$0.00', 0.926510214805603)], [[[107.0, 309.0], [134.0, 309.0], [134.0, 324.0], [107.0, 324.0]], ('Total', 0.9961322546005249)], [[[157.0, 306.0], [188.0, 303.0], [189.0, 317.0], [158.0, 320.0]], ('$0.00', 0.9818476438522339)], [[[157.0, 330.0], [187.0, 327.0], [188.0, 342.0], [158.0, 344.0]], ('$0.00', 0.9906172752380371)]]	{"store_name": "", "store_addr": "", "telephone": "310.247.0400", "date": "05/11/17 05/11/17", "time": "16:22", "subtotal": "", "tax": "$0.00", "total": "$0.00", "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	[[[[105.0, 73.0], [188.0, 73.0], [188.0, 86.0], [105.0, 86.0]], ('roYs g"Us', 0.6472682356834412)], [[[71.0, 116.0], [98.0, 116.0], [98.0, 127.0], [71.0, 127.0]], ('7524/2', 0.9867496490478516)], [[[119.0, 115.0], [172.0, 115.0], [172.0, 126.0], [119.0, 126.0]], ('64211620335', 0.9434095621109009)], [[[181.0, 115.0], [209.0, 115.0], [209.0, 125.0], [181.0, 125.0]], ('1SALE', 0.9172171354293823)], [[[71.0, 132.0], [118.0, 132.0], [118.0, 143.0], [71.0, 143.0]], ('NAND AGIES', 0.7348960041999817)], [[[154.0, 131.0], [184.0, 131.0], [184.0, 142.0], [154.0, 142.0]], ('648140', 0.9194619059562683)], [[[203.0, 130.0], [226.0, 130.0], [226.0, 142.0], [203.0, 142.0]], ('14.99', 0.9765554666519165)], [[[136.0, 148.0], [165.0, 146.0], [166.0, 158.0], [137.0, 161.0]], ('51TAX', 0.7552156448364258)], [[[138.0, 140.0], [172.0, 140.0], [172.0, 151.0], [138.0, 151.0]], ('SUBTOTAL', 0.9151855111122131)], [[[203.0, 139.0], [226.0, 139.0], [226.0, 151.0], [203.0, 151.0]], ('14.99', 0.9796727895736694)], [[[136.0, 156.0], [161.0, 156.0], [161.0, 168.0], [136.0, 168.0]], ('T0TAL', 0.7696861624717712)], [[[68.0, 175.0], [89.0, 175.0], [89.0, 186.0], [68.0, 186.0]], ('CASH', 0.9966484308242798)], [[[204.0, 173.0], [229.0, 173.0], [229.0, 184.0], [204.0, 184.0]], ('20.00', 0.9865542650222778)], [[[68.0, 184.0], [88.0, 184.0], [88.0, 196.0], [68.0, 196.0]], ('CHNG', 0.9110963940620422)], [[[209.0, 183.0], [228.0, 183.0], [228.0, 192.0], [209.0, 192.0]], ('4.26', 0.9635471701622009)], [[[67.0, 203.0], [106.0, 203.0], [106.0, 214.0], [67.0, 214.0]], ('26/20/90', 0.7514722347259521)], [[[116.0, 201.0], [141.0, 201.0], [141.0, 212.0], [116.0, 212.0]], ('16:16', 0.8813236355781555)], [[[66.0, 221.0], [126.0, 219.0], [126.0, 230.0], [67.0, 232.0]], ('ITE COUNT1', 0.7552475929260254)], [[[67.0, 248.0], [217.0, 245.0], [217.0, 258.0], [67.0, 262.0]], ('THANK YOU FOR SHOPPING TOYS RUS', 0.8673952221870422)], [[[68.0, 258.0], [232.0, 255.0], [232.0, 267.0], [68.0, 270.0]], ('IF YOU HAVE ANY OUESTIONS FLEASE CALL:', 0.8859803080558777)], [[[68.0, 268.0], [225.0, 265.0], [226.0, 276.0], [68.0, 279.0]], ('508695-6195 AND ASKFORA MANGER', 0.8550962805747986)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "06/02/97", "time": "16:16", "subtotal": "14.99", "tax": ".75", "total": "15.74", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "HANDBABIES", "item_value": "14.99", "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	[[[[187.0, 2.0], [297.0, 8.0], [296.0, 32.0], [185.0, 25.0]], ('52n5', 0.6099693775177002)], [[[74.0, 71.0], [259.0, 73.0], [259.0, 87.0], [74.0, 85.0]], ('The Victoria Falls Hotel', 0.9519620537757874)], [[[105.0, 87.0], [224.0, 89.0], [223.0, 103.0], [104.0, 101.0]], ('Jungle Junction', 0.9741632342338562)], [[[112.0, 101.0], [218.0, 104.0], [218.0, 117.0], [112.0, 115.0]], ('VAT#10010273', 0.9677627682685852)], [[[67.0, 117.0], [272.0, 118.0], [271.0, 135.0], [67.0, 134.0]], ('Te1+263 134420344751', 0.9596970677375793)], [[[52.0, 136.0], [289.0, 137.0], [289.0, 150.0], [52.0, 149.0]], ('[email protected]', 0.9541592001914978)], [[[50.0, 165.0], [135.0, 167.0], [134.0, 184.0], [50.0, 182.0]], ('59Joylene', 0.984940230846405)], [[[43.0, 197.0], [113.0, 199.0], [113.0, 216.0], [43.0, 214.0]], ('Tb1 16/1', 0.9233124256134033)], [[[142.0, 201.0], [208.0, 201.0], [208.0, 215.0], [142.0, 215.0]], ('Chk 5816', 0.9313596487045288)], [[[260.0, 201.0], [302.0, 201.0], [302.0, 216.0], [260.0, 216.0]], ('Gst 1', 0.82282555103302)], [[[120.0, 218.0], [232.0, 218.0], [232.0, 231.0], [120.0, 231.0]], ('23Mar08 19:46', 0.9123598337173462)], [[[60.0, 249.0], [131.0, 249.0], [131.0, 266.0], [60.0, 266.0]], ('2 Castle', 0.9466065764427185)], [[[77.0, 269.0], [285.0, 269.0], [285.0, 282.0], [77.0, 282.0]], ('7$9562$191270000.00', 0.973072350025177)], [[[63.0, 286.0], [287.0, 284.0], [287.0, 298.0], [64.0, 300.0]], ('1 Min Water 7$95635000.00', 0.8984867930412292)], [[[62.0, 302.0], [290.0, 301.0], [290.0, 317.0], [63.0, 318.0]], ('1 DinnerB Z$956350000.00', 0.9334418773651123)], [[[81.0, 354.0], [119.0, 354.0], [119.0, 372.0], [81.0, 372.0]], ('Food', 0.9952462315559387)], [[[159.0, 354.0], [295.0, 352.0], [295.0, 369.0], [159.0, 370.0]], ('Z$956350000.00', 0.9635564684867859)], [[[81.0, 374.0], [296.0, 370.0], [296.0, 387.0], [81.0, 391.0]], ('Beverage Z$286,905,000.00', 0.920499861240387)], [[[143.0, 392.0], [299.0, 390.0], [299.0, 406.0], [143.0, 408.0]], ('7$1243255000.00', 0.9564129114151001)], [[[49.0, 413.0], [318.0, 408.0], [318.0, 425.0], [49.0, 430.0]], ('7$1243255000', 0.9484457969665527)], [[[49.0, 474.0], [140.0, 474.0], [140.0, 490.0], [49.0, 490.0]], ('Gratuity..', 0.9822044372558594)]]	{"store_name": "TheVictoriaFallsHotel", "store_addr": "", "telephone": "(+26313)44203", "date": "23Mar'08", "time": "19:46", "subtotal": "", "tax": "", "total": "Z$1,243,255,000. 00 Z$1,243,255,000.00", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "Castle", "item_value": "Z$191,270,000.00", "item_quantity": "1"}, {"item_key": "", "item_name": "MinWater", "item_value": "Z$95,635,000.00", "item_quantity": "1"}, {"item_key": "", "item_name": "DinnerB", "item_value": "Z$956,350,000.00", "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	[[[[628.0, 493.0], [1146.0, 499.0], [1145.0, 566.0], [627.0, 560.0]], ('Gooduill Outlet #349', 0.9361953735351562)], [[[708.0, 551.0], [1075.0, 563.0], [1073.0, 627.0], [706.0, 615.0]], ('780 Berry Road', 0.927416980266571)], [[[628.0, 629.0], [1148.0, 635.0], [1148.0, 696.0], [627.0, 690.0]], ('Nashville,TN 37208', 0.9136950373649597)], [[[735.0, 687.0], [1051.0, 696.0], [1049.0, 753.0], [733.0, 744.0]], ('615-346-1600', 0.9946305751800537)], [[[463.0, 789.0], [1361.0, 784.0], [1361.0, 856.0], [464.0, 861.0]], ('SaTes Receipt', 0.9524691700935364)], [[[182.0, 887.0], [555.0, 905.0], [552.0, 961.0], [179.0, 943.0]], ('Transaction #:', 0.9483498334884644)], [[[897.0, 899.0], [1055.0, 899.0], [1055.0, 957.0], [897.0, 957.0]], ('651311', 0.9985297322273254)], [[[179.0, 946.0], [407.0, 958.0], [404.0, 1012.0], [176.0, 999.0]], ('Date:', 0.8972138166427612)], [[[388.0, 954.0], [660.0, 960.0], [659.0, 1016.0], [387.0, 1010.0]], ('10/31/2015', 0.9983838796615601)], [[[894.0, 960.0], [1344.0, 952.0], [1345.0, 1008.0], [895.0, 1016.0]], ('Time:8:30:45AM', 0.9252206087112427)], [[[180.0, 1002.0], [473.0, 1020.0], [469.0, 1076.0], [176.0, 1058.0]], ('Cashier:', 0.9620122909545898)], [[[475.0, 1024.0], [1195.0, 1024.0], [1195.0, 1069.0], [475.0, 1069.0]], ('Gina Cunninghan Register #:', 0.9450516104698181)], [[[176.0, 1091.0], [300.0, 1103.0], [293.0, 1175.0], [169.0, 1164.0]], ('Item', 0.9890064597129822)], [[[1471.0, 1100.0], [1647.0, 1090.0], [1651.0, 1156.0], [1476.0, 1166.0]], ('Amount', 0.9930846691131592)], [[[603.0, 1112.0], [903.0, 1112.0], [903.0, 1176.0], [603.0, 1176.0]], ('Description', 0.9945306777954102)], [[[178.0, 1209.0], [299.0, 1217.0], [294.0, 1289.0], [173.0, 1281.0]], ('2222', 0.9968764781951904)], [[[1477.0, 1214.0], [1651.0, 1207.0], [1654.0, 1271.0], [1480.0, 1278.0]], ('$10.98', 0.9955329895019531)], [[[611.0, 1229.0], [971.0, 1229.0], [971.0, 1285.0], [611.0, 1285.0]], ('OUTLET APPAREL', 0.9720644950866699)], [[[1458.0, 1273.0], [1648.0, 1266.0], [1651.0, 1333.0], [1461.0, 1339.0]], ('$4.74', 0.9931733012199402)], [[[609.0, 1285.0], [1009.0, 1291.0], [1009.0, 1347.0], [608.0, 1341.0]], ('43.17%Discount', 0.9250202775001526)], [[[1083.0, 1283.0], [1225.0, 1283.0], [1225.0, 1344.0], [1083.0, 1344.0]], ('$0.79', 0.9979755282402039)], [[[608.0, 1347.0], [902.0, 1341.0], [903.0, 1400.0], [609.0, 1406.0]], ('7.90$0.79', 0.9452582597732544)], [[[952.0, 1477.0], [1197.0, 1477.0], [1197.0, 1541.0], [952.0, 1541.0]], ('Sub Total', 0.9263677597045898)], [[[1483.0, 1468.0], [1634.0, 1460.0], [1637.0, 1530.0], [1486.0, 1537.0]], ('$6.24', 0.9863491058349609)], [[[1492.0, 1528.0], [1634.0, 1528.0], [1634.0, 1589.0], [1492.0, 1589.0]], ('$6.24', 0.9969348907470703)], [[[1061.0, 1539.0], [1195.0, 1539.0], [1195.0, 1597.0], [1061.0, 1597.0]], ('Total', 0.9064464569091797)], [[[1461.0, 1606.0], [1637.0, 1599.0], [1640.0, 1666.0], [1464.0, 1673.0]], ('$10.00', 0.9971559643745422)], [[[854.0, 1619.0], [1197.0, 1619.0], [1197.0, 1675.0], [854.0, 1675.0]], ('CASH Tendered', 0.9532598853111267)], [[[1492.0, 1667.0], [1642.0, 1667.0], [1642.0, 1736.0], [1492.0, 1736.0]], ('$3.76', 0.9949231147766113)], [[[899.0, 1683.0], [1199.0, 1674.0], [1201.0, 1730.0], [901.0, 1739.0]], ('Change CASH', 0.9603977203369141)], [[[335.0, 1787.0], [1451.0, 1779.0], [1451.0, 1843.0], [336.0, 1851.0]], ('You saved$474!', 0.951289713382721)], [[[652.0, 2016.0], [1238.0, 2010.0], [1238.0, 2074.0], [652.0, 2080.0]], ('651311', 0.9729512929916382)], [[[616.0, 2120.0], [1205.0, 2120.0], [1205.0, 2184.0], [616.0, 2184.0]], ('Thank yau for Shopping', 0.9241374731063843)], [[[635.0, 2187.0], [1180.0, 2176.0], [1181.0, 2237.0], [636.0, 2248.0]], ('Goodwill Outlet #349', 0.9091824293136597)], [[[504.0, 2251.0], [1316.0, 2234.0], [1318.0, 2296.0], [505.0, 2312.0]], ("We hope you'11 came back soon!", 0.8918018937110901)]]	{"store_name": "GoodwillOutlet#349", "store_addr": "Nashville,TN37208 780BerryRoad", "telephone": "615-346-1600", "date": "10/31/2015", "time": "8:30:45AM", "subtotal": "$6.24", "tax": "", "total": "$6.24", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "OUTLETAPPAREL", "item_value": "$10.98", "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	[[[[241.0, 94.0], [455.0, 96.0], [455.0, 117.0], [241.0, 114.0]], ('12/20/2016 8:53:54AM', 0.9412733316421509)], [[[156.0, 116.0], [291.0, 120.0], [291.0, 144.0], [155.0, 140.0]], ('Order Number:', 0.9361050128936768)], [[[400.0, 117.0], [467.0, 120.0], [466.0, 145.0], [399.0, 142.0]], ('800673', 0.998819887638092)], [[[197.0, 144.0], [284.0, 144.0], [284.0, 168.0], [197.0, 168.0]], ('Circle K', 0.9529205560684204)], [[[402.0, 147.0], [475.0, 147.0], [475.0, 168.0], [402.0, 168.0]], ('2706715', 0.9984226226806641)], [[[249.0, 170.0], [422.0, 172.0], [422.0, 193.0], [249.0, 191.0]], ('2580 Riverside Dr', 0.9471688270568848)], [[[259.0, 198.0], [414.0, 198.0], [414.0, 218.0], [259.0, 218.0]], ('MaconGA 31204', 0.9701789617538452)], [[[271.0, 222.0], [414.0, 222.0], [414.0, 243.0], [271.0, 243.0]], ('478746-8670', 0.9928362369537354)], [[[133.0, 242.0], [241.0, 244.0], [241.0, 268.0], [132.0, 266.0]], ('Register:2', 0.9780330657958984)], [[[441.0, 246.0], [544.0, 246.0], [544.0, 270.0], [441.0, 270.0]], ('HJoyvoka', 0.9729018807411194)], [[[131.0, 293.0], [293.0, 296.0], [293.0, 321.0], [130.0, 317.0]], ('Prepay Pump #9', 0.9553516507148743)], [[[479.0, 296.0], [545.0, 293.0], [546.0, 318.0], [480.0, 321.0]], ('$20.00', 0.9192981123924255)], [[[131.0, 320.0], [149.0, 320.0], [149.0, 343.0], [131.0, 343.0]], ('T', 0.9092501997947693)], [[[197.0, 320.0], [442.0, 322.0], [442.0, 344.0], [197.0, 341.0]], ('POWERADE WHITE CHERRY 32', 0.9490982890129089)], [[[487.0, 321.0], [544.0, 318.0], [545.0, 343.0], [488.0, 346.0]], ('$1.99', 0.996700644493103)], [[[131.0, 345.0], [148.0, 345.0], [148.0, 368.0], [131.0, 368.0]], ('T', 0.9663491249084473)], [[[198.0, 348.0], [441.0, 348.0], [441.0, 368.0], [198.0, 368.0]], ("LAY'S XXVL LAY'S DILL PI", 0.9052906036376953)], [[[489.0, 347.0], [543.0, 344.0], [544.0, 367.0], [490.0, 370.0]], ('$1.49', 0.917218029499054)], [[[131.0, 371.0], [148.0, 371.0], [148.0, 393.0], [131.0, 393.0]], ('T', 0.9305283427238464)], [[[198.0, 372.0], [441.0, 372.0], [441.0, 392.0], [198.0, 392.0]], ('CIR K DEL MONTE PINEAPPL', 0.9226396679878235)], [[[489.0, 371.0], [543.0, 368.0], [544.0, 391.0], [490.0, 394.0]], ('$2.79', 0.9939724206924438)], [[[166.0, 398.0], [280.0, 398.0], [280.0, 418.0], [166.0, 418.0]], ('Sub.Total:', 0.940613865852356)], [[[481.0, 396.0], [543.0, 396.0], [543.0, 418.0], [481.0, 418.0]], ('$26.27', 0.9944355487823486)], [[[164.0, 422.0], [211.0, 422.0], [211.0, 445.0], [164.0, 445.0]], ('Tax:', 0.9555813670158386)], [[[489.0, 420.0], [544.0, 418.0], [545.0, 441.0], [490.0, 443.0]], ('$0.29', 0.9950068593025208)], [[[165.0, 447.0], [228.0, 447.0], [228.0, 469.0], [165.0, 469.0]], ('Total:', 0.954716682434082)], [[[481.0, 445.0], [543.0, 445.0], [543.0, 467.0], [481.0, 467.0]], ('$26.56', 0.9386706352233887)], [[[164.0, 474.0], [320.0, 472.0], [321.0, 493.0], [164.0, 495.0]], ('Discount Total:', 0.9507004022598267)], [[[491.0, 470.0], [544.0, 470.0], [544.0, 492.0], [491.0, 492.0]], ('$0.00', 0.9961999654769897)], [[[165.0, 498.0], [229.0, 498.0], [229.0, 520.0], [165.0, 520.0]], ('Debit:', 0.9785228371620178)], [[[482.0, 495.0], [544.0, 495.0], [544.0, 517.0], [482.0, 517.0]], ('$26.56', 0.9930525422096252)], [[[164.0, 523.0], [291.0, 523.0], [291.0, 547.0], [164.0, 547.0]], ('Change', 0.9960110783576965)], [[[442.0, 520.0], [542.0, 518.0], [543.0, 540.0], [442.0, 543.0]], ('$0.00', 0.9949712753295898)], [[[257.0, 548.0], [413.0, 543.0], [414.0, 567.0], [258.0, 572.0]], ('Macon, GA 31204', 0.9100294709205627)], [[[129.0, 601.0], [187.0, 598.0], [188.0, 623.0], [130.0, 626.0]], ('Debit', 0.997719407081604)], [[[130.0, 627.0], [412.0, 619.0], [413.0, 643.0], [131.0, 651.0]], ('Card NumXxxxxxxxxxxx7135', 0.8089737296104431)], [[[131.0, 656.0], [266.0, 650.0], [268.0, 671.0], [132.0, 677.0]], ('CustomerName:', 0.9806824326515198)], [[[131.0, 681.0], [310.0, 672.0], [312.0, 696.0], [132.0, 706.0]], ('Approva1210150', 0.9786798357963562)], [[[130.0, 708.0], [311.0, 699.0], [312.0, 723.0], [131.0, 732.0]], ('Invoice #260612', 0.947403609752655)], [[[129.0, 759.0], [217.0, 755.0], [218.0, 780.0], [130.0, 784.0]], ('PIN USED', 0.9613683223724365)], [[[131.0, 808.0], [528.0, 795.0], [529.0, 823.0], [132.0, 836.0]], ('Choose She11 V-Power NiTRO+ and earn a', 0.9156398773193359)], [[[130.0, 835.0], [302.0, 827.0], [304.0, 858.0], [132.0, 866.0]], ('$0.10/ga1 reward', 0.9569809436798096)]]	{"store_name": "", "store_addr": "Macon,GA31204 Macon,GA31204 2580RiversideDr", "telephone": "(478)746-8670", "date": "12/20/2016", "time": "8:53:54AM", "subtotal": "$26.27", "tax": "$0.29", "total": "$26.56 $26.56", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "CIRKDELMONTEPINEAPPL", "item_value": "$20.00", "item_quantity": "1"}, {"item_key": "", "item_name": "LAY'SXXVLLAY'SDILLPI", "item_value": "$1.99", "item_quantity": "1"}, {"item_key": "", "item_name": "POWERADEWHITECHERRY32", "item_value": "$1.49", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "$2.79", "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, 65.0], [226.0, 53.0], [227.0, 70.0], [56.0, 82.0]], ('3BBostonPizza', 0.8920379281044006)], [[[58.0, 91.0], [214.0, 82.0], [214.0, 96.0], [59.0, 105.0]], ('BP DALHOUSIE #147', 0.902228832244873)], [[[49.0, 111.0], [195.0, 104.0], [195.0, 118.0], [49.0, 125.0]], ('O146 Tabie 51 Party 3', 0.814306378364563)], [[[48.0, 122.0], [216.0, 112.0], [217.0, 128.0], [49.0, 138.0]], ('MADYSON3SCk1319:0709/17/17', 0.8865196704864502)], [[[47.0, 144.0], [175.0, 139.0], [175.0, 153.0], [47.0, 157.0]], ('BAR QUENCH,black raseberry', 0.8692309260368347)], [[[215.0, 137.0], [237.0, 137.0], [237.0, 149.0], [215.0, 149.0]], ('3.30', 0.9889587163925171)], [[[46.0, 155.0], [166.0, 151.0], [166.0, 165.0], [46.0, 169.0]], ('BAR QUENCH.Cucuaber lne', 0.8381764888763428)], [[[215.0, 148.0], [238.0, 148.0], [238.0, 160.0], [215.0, 160.0]], ('3.30', 0.9936820268630981)], [[[47.0, 167.0], [87.0, 167.0], [87.0, 178.0], [47.0, 178.0]], ('N.S.POP', 0.9728173017501831)], [[[214.0, 160.0], [238.0, 160.0], [238.0, 172.0], [214.0, 172.0]], ('3.30', 0.9898590445518494)], [[[45.0, 177.0], [137.0, 175.0], [137.0, 188.0], [45.0, 190.0]], ('FRIED WINGSsedn', 0.8358764052391052)], [[[151.0, 176.0], [198.0, 173.0], [199.0, 184.0], [152.0, 187.0]], ('w/ranch', 0.9597330689430237)], [[[210.0, 171.0], [239.0, 171.0], [239.0, 185.0], [210.0, 185.0]], ('12.75', 0.9906731843948364)], [[[46.0, 190.0], [100.0, 190.0], [100.0, 201.0], [46.0, 201.0]], ('MEDI VEGGIE', 0.9207324981689453)], [[[211.0, 183.0], [240.0, 183.0], [240.0, 197.0], [211.0, 197.0]], ('17.50', 0.9898250699043274)], [[[45.0, 201.0], [108.0, 201.0], [108.0, 212.0], [45.0, 212.0]], ('S-IC HANAIIAN', 0.9405072927474976)], [[[211.0, 195.0], [241.0, 195.0], [241.0, 209.0], [211.0, 209.0]], ('15.00', 0.9956269264221191)], [[[44.0, 213.0], [98.0, 213.0], [98.0, 224.0], [44.0, 224.0]], ('SPAG SHRIMP', 0.943123459815979)], [[[211.0, 207.0], [241.0, 207.0], [241.0, 221.0], [211.0, 221.0]], ('18.75', 0.966739296913147)], [[[41.0, 223.0], [190.0, 221.0], [190.0, 235.0], [41.0, 237.0]], ('QUENCH REFILL.black raspberry', 0.9275069236755371)], [[[216.0, 220.0], [241.0, 220.0], [241.0, 232.0], [216.0, 232.0]], ('0.00', 0.9784361720085144)], [[[137.0, 248.0], [189.0, 248.0], [189.0, 259.0], [137.0, 259.0]], ('Sub Total', 0.9546952843666077)], [[[213.0, 245.0], [244.0, 245.0], [244.0, 259.0], [213.0, 259.0]], ('73.90', 0.9908052682876587)], [[[131.0, 260.0], [152.0, 260.0], [152.0, 272.0], [131.0, 272.0]], ('GST', 0.9705535769462585)], [[[217.0, 256.0], [244.0, 259.0], [243.0, 274.0], [216.0, 271.0]], ('3.70', 0.9949349761009216)], [[[37.0, 273.0], [158.0, 273.0], [158.0, 286.0], [37.0, 286.0]], ('09/1720:06 TOTAL', 0.9301338791847229)], [[[190.0, 271.0], [244.0, 271.0], [244.0, 285.0], [190.0, 285.0]], ('77.60', 0.9941107630729675)], [[[35.0, 300.0], [128.0, 300.0], [128.0, 313.0], [35.0, 313.0]], ('Suggested Gratuity', 0.9691821336746216)], [[[36.0, 314.0], [92.0, 314.0], [92.0, 325.0], [36.0, 325.0]], ('18%GRATUIT', 0.9752833247184753)], [[[115.0, 314.0], [143.0, 314.0], [143.0, 325.0], [115.0, 325.0]], ('13.30', 0.9956797361373901)], [[[34.0, 326.0], [92.0, 326.0], [92.0, 341.0], [34.0, 341.0]], ('20%GRATUIT', 0.919343113899231)], [[[113.0, 326.0], [144.0, 326.0], [144.0, 342.0], [113.0, 342.0]], ('1418', 0.6704062223434448)], [[[73.0, 351.0], [195.0, 352.0], [195.0, 366.0], [73.0, 365.0]], ('GST893790592RT001', 0.9238876700401306)], [[[27.0, 372.0], [225.0, 378.0], [224.0, 393.0], [27.0, 387.0]], ('PLEASE PAY SERVER', 0.9533280730247498)], [[[37.0, 415.0], [209.0, 423.0], [208.0, 440.0], [36.0, 432.0]], ('JOIN US FOR PASTA TUESDAY!', 0.9253730773925781)]]	{"store_name": "BostonPizza", "store_addr": "", "telephone": "", "date": "09/17 09/17/17", "time": "20:06", "subtotal": "73.90", "tax": "3.70", "total": "77.60", "ignore": " ", "tips": "14.78 13.30", "line_items": [{"item_key": "", "item_name": "QUENCHREFILL,blackraspberry", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SPAGSHRIMP", "item_value": "18.75", "item_quantity": "1"}, {"item_key": "", "item_name": "S-ICHAWAIIAN", "item_value": "15.00", "item_quantity": "1"}, {"item_key": "", "item_name": "MEDIVEGGIE", "item_value": "17.50", "item_quantity": "1"}, {"item_key": "", "item_name": "FRIEDWINGS,medium,w/ranch", "item_value": "12.75", "item_quantity": "1"}, {"item_key": "", "item_name": "N.S.POP", "item_value": "3.30", "item_quantity": "1"}, {"item_key": "", "item_name": "BARQUENCH,cucumberTime", "item_value": "3.30", "item_quantity": "1"}, {"item_key": "", "item_name": "BARQUENCH,blackrasoberry", "item_value": "3.30", "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	[[[[80.0, 5.0], [167.0, 5.0], [167.0, 19.0], [80.0, 19.0]], ('[email protected]', 0.8894135355949402)], [[[32.0, 22.0], [55.0, 25.0], [54.0, 36.0], [31.0, 34.0]], ('ITEM', 0.931976318359375)], [[[187.0, 21.0], [213.0, 21.0], [213.0, 31.0], [187.0, 31.0]], ('TOTAL', 0.9976292848587036)], [[[88.0, 24.0], [106.0, 24.0], [106.0, 35.0], [88.0, 35.0]], ('OTY', 0.8984726071357727)], [[[128.0, 23.0], [153.0, 23.0], [153.0, 35.0], [128.0, 35.0]], ('PRICE', 0.9950478672981262)], [[[28.0, 48.0], [148.0, 51.0], [147.0, 64.0], [27.0, 60.0]], ('ELF APPLICATOR EYE SHADON', 0.9123747944831848)], [[[30.0, 57.0], [78.0, 60.0], [78.0, 70.0], [29.0, 68.0]], ('016900328', 0.9781802296638489)], [[[99.0, 63.0], [104.0, 63.0], [104.0, 68.0], [99.0, 68.0]], ('1', 0.7884765267372131)], [[[128.0, 62.0], [156.0, 62.0], [156.0, 71.0], [128.0, 71.0]], ('$1.00', 0.9757717847824097)], [[[188.0, 61.0], [220.0, 61.0], [220.0, 71.0], [188.0, 71.0]], ('$1.00T', 0.9169605374336243)], [[[21.0, 71.0], [150.0, 77.0], [149.0, 91.0], [20.0, 85.0]], ('ELF ANGLED EYELINER BRUSH', 0.9289873242378235)], [[[24.0, 82.0], [73.0, 85.0], [73.0, 96.0], [23.0, 93.0]], ('015541706', 0.9362214207649231)], [[[130.0, 86.0], [159.0, 88.0], [158.0, 99.0], [129.0, 96.0]], ('$3.00', 0.9926169514656067)], [[[193.0, 89.0], [226.0, 89.0], [226.0, 100.0], [193.0, 100.0]], ('$3.00T', 0.9665834307670593)], [[[17.0, 103.0], [118.0, 106.0], [118.0, 119.0], [17.0, 117.0]], ('ELF EYESHADOW BRUSH', 0.9586029052734375)], [[[23.0, 119.0], [73.0, 119.0], [73.0, 130.0], [23.0, 130.0]], ('015541688', 0.9832883477210999)], [[[95.0, 120.0], [104.0, 120.0], [104.0, 130.0], [95.0, 130.0]], ('1', 0.9463988542556763)], [[[129.0, 119.0], [160.0, 119.0], [160.0, 133.0], [129.0, 133.0]], ('$1.00', 0.9951661229133606)], [[[195.0, 120.0], [230.0, 120.0], [230.0, 134.0], [195.0, 134.0]], ('$1.00T', 0.9600337147712708)], [[[18.0, 141.0], [118.0, 143.0], [118.0, 156.0], [17.0, 154.0]], ('ELF BRSH EYE CREASE', 0.9332206845283508)], [[[23.0, 153.0], [72.0, 155.0], [71.0, 168.0], [22.0, 166.0]], ('016092881', 0.9831608533859253)], [[[129.0, 156.0], [159.0, 156.0], [159.0, 170.0], [129.0, 170.0]], ('$1.00', 0.9941743612289429)], [[[195.0, 155.0], [231.0, 158.0], [230.0, 172.0], [194.0, 170.0]], ('$1.00T', 0.963151752948761)], [[[18.0, 178.0], [163.0, 182.0], [163.0, 195.0], [17.0, 191.0]], ('ELF EYLSH&BROW WAND .96 OZ', 0.9012234807014465)], [[[22.0, 190.0], [73.0, 193.0], [73.0, 206.0], [21.0, 204.0]], ('016092819', 0.9872222542762756)], [[[97.0, 191.0], [104.0, 199.0], [97.0, 207.0], [89.0, 199.0]], ('1', 0.5145262479782104)], [[[129.0, 194.0], [159.0, 194.0], [159.0, 208.0], [129.0, 208.0]], ('$1.00', 0.997170627117157)], [[[195.0, 194.0], [232.0, 197.0], [231.0, 210.0], [194.0, 208.0]], ('$1.00T', 0.9546598792076111)], [[[87.0, 220.0], [136.0, 220.0], [136.0, 233.0], [87.0, 233.0]], ('Sub Total', 0.9163224101066589)], [[[201.0, 222.0], [228.0, 222.0], [228.0, 236.0], [201.0, 236.0]], ('7.00', 0.9939290881156921)], [[[87.0, 233.0], [105.0, 233.0], [105.0, 246.0], [87.0, 246.0]], ('Tax', 0.9948577284812927)], [[[201.0, 235.0], [228.0, 235.0], [228.0, 249.0], [201.0, 249.0]], ('0.58', 0.9932376146316528)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "", "time": "", "subtotal": "7.00", "tax": "0.58", "total": "", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "ELFEYLSH&BROWWAND.96OZ", "item_value": "$1.00T", "item_quantity": "1"}, {"item_key": "", "item_name": "ELFBRSHEYECREASE", "item_value": "$3.00T", "item_quantity": "1"}, {"item_key": "", "item_name": "ELFEYESHADOWBRUSH", "item_value": "$1.00T", "item_quantity": "1"}, {"item_key": "", "item_name": "ELFANGLEDEYELINERBRUSH", "item_value": "$1.00T", "item_quantity": "1"}, {"item_key": "", "item_name": "ELFAPPLICATOREYESHADOW", "item_value": "$1.00T", "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	[[[[56.0, 121.0], [71.0, 118.0], [73.0, 125.0], [57.0, 128.0]], ('DAME', 0.6101585626602173)], [[[71.0, 130.0], [83.0, 130.0], [83.0, 139.0], [71.0, 139.0]], ('GST', 0.6191211342811584)], [[[135.0, 134.0], [165.0, 128.0], [168.0, 139.0], [137.0, 145.0]], ('/09/16', 0.8829753398895264)], [[[42.0, 164.0], [54.0, 164.0], [54.0, 171.0], [42.0, 171.0]], ('187', 0.9079052805900574)], [[[42.0, 179.0], [52.0, 169.0], [61.0, 178.0], [51.0, 188.0]], ('Tre', 0.7413108944892883)], [[[59.0, 172.0], [80.0, 168.0], [82.0, 179.0], [61.0, 184.0]], ('Elvis', 0.9136773347854614)], [[[92.0, 171.0], [114.0, 168.0], [116.0, 180.0], [94.0, 183.0]], ('Sode', 0.8347949981689453)], [[[88.0, 187.0], [106.0, 187.0], [106.0, 198.0], [88.0, 198.0]], ('Ale', 0.8499881625175476)], [[[156.0, 184.0], [181.0, 180.0], [184.0, 196.0], [159.0, 201.0]], ('33.40', 0.9073973894119263)], [[[144.0, 205.0], [166.0, 205.0], [166.0, 221.0], [144.0, 221.0]], ('33', 0.9985557794570923)], [[[165.0, 200.0], [187.0, 200.0], [187.0, 216.0], [165.0, 216.0]], ('40', 0.9957264065742493)], [[[27.0, 214.0], [63.0, 208.0], [65.0, 220.0], [29.0, 226.0]], ('SLOTOTAL:', 0.8472026586532593)], [[[170.0, 221.0], [190.0, 218.0], [191.0, 228.0], [172.0, 231.0]], ('1.89', 0.9391552805900574)], [[[28.0, 232.0], [76.0, 223.0], [79.0, 238.0], [30.0, 247.0]], ('TOTAL:', 0.9768476486206055)], [[[31.0, 243.0], [111.0, 225.0], [114.0, 238.0], [33.0, 256.0]], ('ta1 Excluding ST)', 0.7617738842964172)], [[[31.0, 252.0], [48.0, 248.0], [50.0, 261.0], [33.0, 264.0]], ('SOST', 0.6501515507698059)], [[[173.0, 254.0], [201.0, 248.0], [204.0, 262.0], [176.0, 268.0]], ('55.40', 0.9768940806388855)], [[[69.0, 270.0], [139.0, 254.0], [141.0, 265.0], [72.0, 281.0]], ('Payment Detaiis', 0.837797224521637)], [[[174.0, 263.0], [203.0, 257.0], [206.0, 272.0], [177.0, 278.0]], ('22.00', 0.9891631007194519)], [[[26.0, 288.0], [46.0, 285.0], [48.0, 296.0], [28.0, 299.0]], ('CASH', 0.7045834064483643)], [[[24.0, 315.0], [151.0, 289.0], [154.0, 304.0], [26.0, 329.0]], ('08/09/1820:43 #001-1112508', 0.9093655347824097)], [[[23.0, 325.0], [47.0, 322.0], [49.0, 337.0], [25.0, 340.0]], ('ALEX', 0.9950894117355347)], [[[181.0, 329.0], [220.0, 322.0], [223.0, 337.0], [184.0, 344.0]], ('Tax(RX)', 0.8436247706413269)], [[[104.0, 343.0], [155.0, 334.0], [158.0, 349.0], [106.0, 358.0]], ('Amount(RM)', 0.8785995244979858)], [[[199.0, 337.0], [224.0, 334.0], [226.0, 350.0], [201.0, 353.0]], ('1.89', 0.9836234450340271)], [[[70.0, 362.0], [99.0, 357.0], [102.0, 372.0], [73.0, 377.0]], ('(6X)', 0.6774365305900574)], [[[127.0, 353.0], [157.0, 344.0], [161.0, 360.0], [132.0, 369.0]], ('31.51', 0.9944499135017395)], [[[65.0, 418.0], [236.0, 388.0], [239.0, 404.0], [68.0, 434.0]], ('Follow us on Facebook Instagram', 0.9035975337028503)], [[[97.0, 428.0], [207.0, 409.0], [209.0, 423.0], [99.0, 442.0]], ('&Twitter apiething', 0.9347970485687256)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "08/09/16 08/09/16", "time": "20:43", "subtotal": "31.51 31.51", "tax": "1.89 1.89", "total": "33.40 33.40", "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	[[[[90.0, 79.0], [191.0, 79.0], [191.0, 92.0], [90.0, 92.0]], ('Arizona Five Palms', 0.9047511219978333)], [[[81.0, 92.0], [196.0, 92.0], [196.0, 105.0], [81.0, 105.0]], ('3500 E.Sunrise Drive', 0.9420019388198853)], [[[81.0, 105.0], [196.0, 105.0], [196.0, 120.0], [81.0, 120.0]], ('Tucson.Arizona 85718', 0.9417827725410461)], [[[26.0, 132.0], [97.0, 132.0], [97.0, 146.0], [26.0, 146.0]], ('Server:Wyatt', 0.9232595562934875)], [[[199.0, 131.0], [256.0, 131.0], [256.0, 145.0], [199.0, 145.0]], ('03/24/2017', 0.995095431804657)], [[[26.0, 145.0], [87.0, 145.0], [87.0, 159.0], [26.0, 159.0]], ('Table 509/1', 0.959220826625824)], [[[215.0, 145.0], [257.0, 145.0], [257.0, 159.0], [215.0, 159.0]], ('8:18PM', 0.9145911335945129)], [[[25.0, 159.0], [77.0, 159.0], [77.0, 173.0], [25.0, 173.0]], ('Guests:2', 0.955985963344574)], [[[190.0, 172.0], [255.0, 172.0], [255.0, 183.0], [190.0, 183.0]], ('#50003', 0.9949586987495422)], [[[26.0, 186.0], [91.0, 186.0], [91.0, 197.0], [26.0, 197.0]], ('Reprint 1', 0.9083061218261719)], [[[24.0, 212.0], [93.0, 212.0], [93.0, 226.0], [24.0, 226.0]], ('HH BOLOGNESE', 0.9523398280143738)], [[[229.0, 212.0], [257.0, 212.0], [257.0, 227.0], [229.0, 227.0]], ('8.00', 0.9959489107131958)], [[[26.0, 226.0], [60.0, 226.0], [60.0, 237.0], [26.0, 237.0]], ('RIBEYE', 0.9973457455635071)], [[[227.0, 226.0], [258.0, 226.0], [258.0, 240.0], [227.0, 240.0]], ('46.00', 0.9635449647903442)], [[[24.0, 238.0], [103.0, 238.0], [103.0, 252.0], [24.0, 252.0]], ('LAMB LOLLIPOPS', 0.9452771544456482)], [[[228.0, 240.0], [258.0, 240.0], [258.0, 254.0], [228.0, 254.0]], ('16.00', 0.9967976808547974)], [[[22.0, 251.0], [59.0, 251.0], [59.0, 265.0], [22.0, 265.0]], ('HHCAB', 0.9902016520500183)], [[[230.0, 253.0], [258.0, 253.0], [258.0, 268.0], [230.0, 268.0]], ('5.00', 0.9971539974212646)], [[[21.0, 265.0], [156.0, 266.0], [155.0, 280.0], [21.0, 279.0]], ('HOUSE CABERNET 2 7.00', 0.9156995415687561)], [[[227.0, 267.0], [258.0, 267.0], [258.0, 281.0], [227.0, 281.0]], ('14.00', 0.9924256205558777)], [[[21.0, 292.0], [68.0, 292.0], [68.0, 307.0], [21.0, 307.0]], ('Subtota)', 0.9745352268218994)], [[[227.0, 295.0], [258.0, 295.0], [258.0, 309.0], [227.0, 309.0]], ('89.00', 0.9957060813903809)], [[[20.0, 306.0], [42.0, 306.0], [42.0, 321.0], [20.0, 321.0]], ('Tax', 0.9840059280395508)], [[[230.0, 309.0], [258.0, 309.0], [258.0, 324.0], [230.0, 324.0]], ('5.43', 0.9963564276695251)], [[[21.0, 334.0], [51.0, 334.0], [51.0, 350.0], [21.0, 350.0]], ('Total', 0.9966272115707397)], [[[226.0, 335.0], [259.0, 338.0], [257.0, 354.0], [224.0, 351.0]], ('94.43', 0.9837034344673157)], [[[21.0, 361.0], [144.0, 363.0], [144.0, 378.0], [21.0, 376.0]], ('Balance Due', 0.959947407245636)], [[[197.0, 362.0], [258.0, 365.0], [257.0, 382.0], [197.0, 379.0]], ('94.43', 0.9975395202636719)], [[[81.0, 391.0], [188.0, 394.0], [188.0, 408.0], [81.0, 405.0]], ('See You Again Soon', 0.9344001412391663)]]	{"store_name": "ArizonaFivePalms", "store_addr": "3500E.SunriseDrive Tucson.Arizona85718", "telephone": "", "date": "03/24/2017", "time": "8:18PM", "subtotal": "89.00", "tax": "5.43", "total": "94.43", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "HHBOLOGNESE", "item_value": "8.00", "item_quantity": "1"}, {"item_key": "", "item_name": "RIBEYE", "item_value": "46.00", "item_quantity": "1"}, {"item_key": "", "item_name": "LAMGLOLLIPOPS", "item_value": "16.00", "item_quantity": "1"}, {"item_key": "", "item_name": "HHCAB", "item_value": "5.00", "item_quantity": "1"}, {"item_key": "", "item_name": "HOUSECABERNET([email protected])", "item_value": "14.00", "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	[[[[226.0, 57.0], [466.0, 68.0], [464.0, 109.0], [224.0, 97.0]], ('#5-San Jose', 0.9597217440605164)], [[[262.0, 106.0], [434.0, 113.0], [433.0, 138.0], [261.0, 131.0]], ('1160 N Capito1 Ave', 0.9333865642547607)], [[[139.0, 155.0], [229.0, 157.0], [229.0, 176.0], [138.0, 174.0]], ('6/11/2017', 0.9968013763427734)], [[[136.0, 170.0], [354.0, 186.0], [353.0, 208.0], [135.0, 192.0]], ('Order Id:AABKTGAYACBZ', 0.946227490901947)], [[[446.0, 166.0], [546.0, 159.0], [548.0, 181.0], [448.0, 188.0]], ('2:29:23PM', 0.9113390445709229)], [[[134.0, 192.0], [277.0, 200.0], [276.0, 219.0], [133.0, 211.0]], ('eva -1.To Go', 0.8598794937133789)], [[[134.0, 212.0], [305.0, 223.0], [304.0, 243.0], [133.0, 232.0]], ('Employee:Z P0Sr1', 0.9118373394012451)], [[[149.0, 254.0], [385.0, 268.0], [384.0, 289.0], [148.0, 275.0]], ('1 20oz Peach Me Sweetea', 0.9424670934677124)], [[[503.0, 262.0], [558.0, 257.0], [560.0, 277.0], [505.0, 282.0]], ('$4.50', 0.9952702522277832)], [[[178.0, 277.0], [346.0, 288.0], [344.0, 309.0], [176.0, 297.0]], ('25 Percent Sweet', 0.9640154242515564)], [[[504.0, 281.0], [560.0, 275.0], [562.0, 298.0], [507.0, 304.0]], ('$0.00', 0.9036591649055481)], [[[147.0, 298.0], [355.0, 310.0], [354.0, 331.0], [146.0, 318.0]], ('1 20oz Matcha Coffee', 0.9262664914131165)], [[[505.0, 303.0], [562.0, 297.0], [564.0, 319.0], [508.0, 325.0]], ('$4.25', 0.9949132204055786)], [[[174.0, 320.0], [264.0, 328.0], [262.0, 349.0], [172.0, 342.0]], ('Half Ice', 0.9647639989852905)], [[[508.0, 325.0], [565.0, 318.0], [568.0, 340.0], [511.0, 347.0]], ('$0.00', 0.9961252212524414)], [[[172.0, 344.0], [344.0, 353.0], [343.0, 374.0], [171.0, 365.0]], ('25 Percent Sweet', 0.958320140838623)], [[[509.0, 347.0], [567.0, 340.0], [570.0, 362.0], [512.0, 368.0]], ('$0.00', 0.9965406656265259)], [[[171.0, 366.0], [304.0, 374.0], [303.0, 396.0], [170.0, 388.0]], ('Crystal Boba', 0.9305634498596191)], [[[511.0, 368.0], [570.0, 362.0], [573.0, 385.0], [514.0, 391.0]], ('$0.85', 0.9955651164054871)], [[[137.0, 389.0], [302.0, 397.0], [301.0, 418.0], [136.0, 410.0]], ('1 Shrimp On It', 0.9371498823165894)], [[[514.0, 390.0], [574.0, 385.0], [576.0, 408.0], [516.0, 413.0]], ('$6.50', 0.9963817596435547)], [[[170.0, 413.0], [346.0, 423.0], [344.0, 446.0], [169.0, 436.0]], ('[3] me soo spicy', 0.9224732518196106)], [[[516.0, 414.0], [576.0, 409.0], [578.0, 433.0], [518.0, 438.0]], ('$0.00', 0.9962410926818848)], [[[165.0, 438.0], [281.0, 445.0], [279.0, 467.0], [164.0, 460.0]], ('Weak Sauce', 0.9596235156059265)], [[[518.0, 437.0], [579.0, 433.0], [581.0, 459.0], [520.0, 463.0]], ('$0.00', 0.9915438890457153)], [[[100.0, 489.0], [209.0, 489.0], [209.0, 514.0], [100.0, 514.0]], ('Sub Tota1', 0.9111804962158203)], [[[511.0, 488.0], [587.0, 482.0], [589.0, 507.0], [513.0, 513.0]], ('$16.10', 0.9957334995269775)], [[[95.0, 540.0], [208.0, 544.0], [207.0, 570.0], [95.0, 566.0]], ('Sales Tax', 0.9507108330726624)], [[[528.0, 537.0], [594.0, 534.0], [595.0, 561.0], [529.0, 564.0]], ('$0.52', 0.9877793192863464)], [[[91.0, 570.0], [227.0, 572.0], [227.0, 597.0], [90.0, 595.0]], ('Order Total', 0.9564993381500244)], [[[520.0, 566.0], [597.0, 563.0], [598.0, 590.0], [521.0, 593.0]], ('$16.62', 0.9948756098747253)], [[[85.0, 629.0], [214.0, 629.0], [214.0, 654.0], [85.0, 654.0]], ('MasterCard', 0.9977429509162903)], [[[524.0, 622.0], [605.0, 620.0], [606.0, 649.0], [525.0, 651.0]], ('$16.62', 0.9903032183647156)], [[[133.0, 660.0], [419.0, 660.0], [419.0, 684.0], [133.0, 684.0]], ('Card#************1373', 0.9784015417098999)], [[[131.0, 691.0], [395.0, 691.0], [395.0, 719.0], [131.0, 719.0]], ('Authorization:66449Z', 0.9528762698173523)], [[[222.0, 788.0], [478.0, 782.0], [479.0, 814.0], [223.0, 820.0]], ('-->Order Closed<--', 0.8974899649620056)], [[[285.0, 856.0], [415.0, 854.0], [416.0, 884.0], [286.0, 887.0]], ('Thank You!', 0.930406928062439)], [[[147.0, 895.0], [553.0, 889.0], [553.0, 919.0], [147.0, 924.0]], ('Chino Hills Location Now Open!', 0.9281500577926636)]]	{"store_name": "#5-SanJose", "store_addr": "1160NCapitolAve SanJoseCA,CA95132", "telephone": "", "date": "6/11/2017", "time": "2:29:23PM", "subtotal": "$16.10", "tax": "$0.52", "total": "$16.62", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "20ozPeachMeSweetea", "item_value": "$4.50", "item_quantity": "1"}, {"item_key": "", "item_name": "25PercentSweet", "item_value": "$0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "20ozMatchaCoffee", "item_value": "$4.25", "item_quantity": "1"}, {"item_key": "", "item_name": "HalfIce", "item_value": "$0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "25PercentSweet", "item_value": "$0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "CrystalBoba", "item_value": "$0.85", "item_quantity": "1"}, {"item_key": "", "item_name": "ShrimpOnIt!", "item_value": "$6.50", "item_quantity": "1"}, {"item_key": "", "item_name": "[3]mesoospicy", "item_value": "$0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "WeakSauce", "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	[[[[143.0, 17.0], [372.0, 17.0], [372.0, 37.0], [143.0, 37.0]], ('RE WE M.Siebert oHG', 0.8908817768096924)], [[[206.0, 44.0], [312.0, 44.0], [312.0, 64.0], [206.0, 64.0]], ('Am Markt1', 0.9446415305137634)], [[[205.0, 69.0], [312.0, 69.0], [312.0, 90.0], [205.0, 90.0]], ('OT Basdorf', 0.945351779460907)], [[[187.0, 94.0], [331.0, 96.0], [331.0, 117.0], [186.0, 115.0]], ('16348 Wandlitz', 0.9350230097770691)], [[[102.0, 147.0], [359.0, 147.0], [359.0, 167.0], [102.0, 167.0]], ('Steuer.Nr.065 162 01949', 0.9443669319152832)], [[[378.0, 196.0], [414.0, 196.0], [414.0, 220.0], [378.0, 220.0]], ('EUR', 0.9967412948608398)], [[[36.0, 224.0], [184.0, 224.0], [184.0, 244.0], [36.0, 244.0]], ('LEERGUT EINWEG', 0.9791311025619507)], [[[361.0, 224.0], [454.0, 224.0], [454.0, 245.0], [361.0, 245.0]], ('-200A', 0.9271089434623718)], [[[75.0, 246.0], [116.0, 249.0], [114.0, 272.0], [74.0, 269.0]], ('8x', 0.7837496995925903)], [[[159.0, 248.0], [204.0, 248.0], [204.0, 271.0], [159.0, 271.0]], ('0,25', 0.9191854000091553)], [[[36.0, 275.0], [184.0, 275.0], [184.0, 296.0], [36.0, 296.0]], ('PRODOMO KAFFEE', 0.9707825779914856)], [[[366.0, 273.0], [435.0, 273.0], [435.0, 298.0], [366.0, 298.0]], ('3,59B', 0.9139312505722046)], [[[36.0, 301.0], [192.0, 299.0], [192.0, 320.0], [36.0, 322.0]], ('KART.FESTK.DICK', 0.9874244332313538)], [[[366.0, 299.0], [435.0, 299.0], [435.0, 324.0], [366.0, 324.0]], ('2,49B', 0.9115597605705261)], [[[36.0, 327.0], [203.0, 327.0], [203.0, 347.0], [36.0, 347.0]], ('BIO FR.MILCH 15', 0.9301296472549438)], [[[367.0, 324.0], [435.0, 324.0], [435.0, 349.0], [367.0, 349.0]], ('105B', 0.9943069219589233)], [[[38.0, 352.0], [193.0, 352.0], [193.0, 372.0], [38.0, 372.0]], ('EMMENTALER GER.', 0.969306230545044)], [[[367.0, 350.0], [435.0, 350.0], [435.0, 375.0], [367.0, 375.0]], ('1,32B', 0.8993050456047058)], [[[37.0, 377.0], [173.0, 377.0], [173.0, 398.0], [37.0, 398.0]], ('VOLLKORNTOAST', 0.9964459538459778)], [[[367.0, 376.0], [434.0, 376.0], [434.0, 401.0], [367.0, 401.0]], ('109B', 0.989260733127594)], [[[37.0, 403.0], [187.0, 403.0], [187.0, 424.0], [37.0, 424.0]], ('BIO MOZZARELLA', 0.9767048954963684)], [[[366.0, 398.0], [434.0, 401.0], [433.0, 426.0], [365.0, 423.0]], ('0,95B', 0.9242805242538452)], [[[38.0, 428.0], [150.0, 428.0], [150.0, 448.0], [38.0, 448.0]], ('WEIZEN MEHL', 0.9619989991188049)], [[[368.0, 428.0], [434.0, 428.0], [434.0, 449.0], [368.0, 449.0]], ('119B', 0.988075852394104)], [[[37.0, 454.0], [203.0, 451.0], [203.0, 472.0], [37.0, 475.0]], ('BIOJOGHURT3,8%', 0.9268687963485718)], [[[365.0, 450.0], [434.0, 450.0], [434.0, 475.0], [365.0, 475.0]], ('0,99B', 0.893079936504364)], [[[40.0, 480.0], [130.0, 480.0], [130.0, 498.0], [40.0, 498.0]], ('OLIVENOEL', 0.9893882274627686)], [[[366.0, 477.0], [432.0, 477.0], [432.0, 499.0], [366.0, 499.0]], ('2,99B', 0.8860813975334167)], [[[39.0, 504.0], [192.0, 501.0], [192.0, 525.0], [39.0, 527.0]], ('EIER FREILANDH.', 0.9566605091094971)], [[[367.0, 501.0], [434.0, 501.0], [434.0, 526.0], [367.0, 526.0]], ('1,39B', 0.8963748812675476)], [[[42.0, 530.0], [203.0, 530.0], [203.0, 550.0], [42.0, 550.0]], ('TOM.CHERRY RISPE', 0.9597318768501282)], [[[365.0, 528.0], [433.0, 525.0], [434.0, 551.0], [366.0, 554.0]], ('1,99B', 0.9265867471694946)], [[[36.0, 576.0], [94.0, 576.0], [94.0, 602.0], [36.0, 602.0]], ('SUMME', 0.9959297180175781)], [[[275.0, 577.0], [311.0, 577.0], [311.0, 602.0], [275.0, 602.0]], ('EUR', 0.9965376257896423)], [[[358.0, 577.0], [415.0, 577.0], [415.0, 603.0], [358.0, 603.0]], ('17,04', 0.9411856532096863)], [[[37.0, 630.0], [74.0, 630.0], [74.0, 654.0], [37.0, 654.0]], ('BAR', 0.9981732964515686)], [[[275.0, 627.0], [312.0, 627.0], [312.0, 652.0], [275.0, 652.0]], ('EUR', 0.9962499141693115)], [[[356.0, 626.0], [414.0, 626.0], [414.0, 651.0], [356.0, 651.0]], ('20,00', 0.9023692011833191)], [[[37.0, 655.0], [166.0, 653.0], [166.0, 677.0], [37.0, 679.0]], ('Ruckgeld BAR', 0.9554693102836609)], [[[275.0, 654.0], [312.0, 654.0], [312.0, 678.0], [275.0, 678.0]], ('EUR', 0.9973325729370117)], [[[367.0, 653.0], [417.0, 653.0], [417.0, 679.0], [367.0, 679.0]], ('2,96', 0.9580760598182678)], [[[37.0, 705.0], [104.0, 705.0], [104.0, 730.0], [37.0, 730.0]], ('Steuer', 0.9968867301940918)], [[[149.0, 704.0], [166.0, 704.0], [166.0, 728.0], [149.0, 728.0]], ('%', 0.7978622317314148)], [[[202.0, 704.0], [259.0, 704.0], [259.0, 729.0], [202.0, 729.0]], ('Netto', 0.9973345994949341)], [[[274.0, 706.0], [340.0, 706.0], [340.0, 728.0], [274.0, 728.0]], ('Steuer', 0.9979299902915955)], [[[368.0, 706.0], [435.0, 706.0], [435.0, 728.0], [368.0, 728.0]], ('Brutto', 0.9972526431083679)], [[[36.0, 732.0], [77.0, 732.0], [77.0, 756.0], [36.0, 756.0]], ('A=', 0.9664887189865112)], [[[110.0, 729.0], [166.0, 729.0], [166.0, 754.0], [110.0, 754.0]], ('19,0%', 0.9123473167419434)], [[[203.0, 729.0], [259.0, 729.0], [259.0, 754.0], [203.0, 754.0]], ('-1,68', 0.9067896008491516)], [[[284.0, 730.0], [341.0, 730.0], [341.0, 755.0], [284.0, 755.0]], ('-0,32', 0.8894357681274414)], [[[378.0, 730.0], [435.0, 730.0], [435.0, 755.0], [378.0, 755.0]], ('-2,00', 0.8902775049209595)], [[[36.0, 756.0], [72.0, 756.0], [72.0, 780.0], [36.0, 780.0]], ('B=', 0.8488423824310303)], [[[119.0, 755.0], [166.0, 755.0], [166.0, 781.0], [119.0, 781.0]], ('7,0%', 0.7935062050819397)], [[[203.0, 754.0], [259.0, 754.0], [259.0, 779.0], [203.0, 779.0]], ('17,79', 0.9294503331184387)], [[[294.0, 755.0], [343.0, 755.0], [343.0, 781.0], [294.0, 781.0]], ('1,25', 0.9238810539245605)], [[[380.0, 756.0], [436.0, 756.0], [436.0, 781.0], [380.0, 781.0]], ('19,04', 0.9331647753715515)], [[[38.0, 785.0], [164.0, 785.0], [164.0, 806.0], [38.0, 806.0]], ('Gesamtbetrag', 0.9962223172187805)], [[[203.0, 782.0], [259.0, 782.0], [259.0, 807.0], [203.0, 807.0]], ('16,11', 0.9549916386604309)], [[[295.0, 783.0], [342.0, 783.0], [342.0, 806.0], [295.0, 806.0]], ('0,93', 0.9177662134170532)], [[[379.0, 782.0], [436.0, 782.0], [436.0, 807.0], [379.0, 807.0]], ('17,04', 0.9217939376831055)], [[[39.0, 835.0], [463.0, 836.0], [463.0, 854.0], [39.0, 853.0]], ('****************************************', 0.9588005542755127)]]	{"store_name": "REWEM.SiebertoHG", "store_addr": "AmMarkt1 OTBasdorf 16348Wandlitz", "telephone": "", "date": "", "time": "", "subtotal": "16,11", "tax": "0,93", "total": "EUR17,04 17,04", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "LEERGUTEINWEG", "item_value": "-2,00", "item_quantity": "1"}, {"item_key": "", "item_name": "PRODOMOKAFFEE", "item_value": "3,59", "item_quantity": "1"}, {"item_key": "", "item_name": "KART.FESTK.DICK", "item_value": "2,49", "item_quantity": "1"}, {"item_key": "", "item_name": "BIOFR.MILCH1,5", "item_value": "1,05", "item_quantity": "1"}, {"item_key": "", "item_name": "EMMENTALERGER.", "item_value": "1,32", "item_quantity": "1"}, {"item_key": "", "item_name": "VOLLKORNTOAST", "item_value": "1,09", "item_quantity": "1"}, {"item_key": "", "item_name": "BIOMOZZARELLA", "item_value": "0,95", "item_quantity": "1"}, {"item_key": "", "item_name": "WEIZENMEHL", "item_value": "1,19", "item_quantity": "1"}, {"item_key": "", "item_name": "BIOJOGHURT3,8%", "item_value": "0,99", "item_quantity": "1"}, {"item_key": "", "item_name": "OLIVENOEL", "item_value": "2,99", "item_quantity": "1"}, {"item_key": "", "item_name": "EIERFREILANDH.", "item_value": "1,39", "item_quantity": "1"}, {"item_key": "", "item_name": "TOM.CHERRYRISPE", "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	[[[[352.0, 278.0], [902.0, 284.0], [902.0, 335.0], [352.0, 330.0]], ('CREDIT CARD VOUCHER ', 0.8871957659721375)], [[[485.0, 347.0], [782.0, 353.0], [781.0, 397.0], [485.0, 392.0]], ('ANY RESTAURANT', 0.960046112537384)], [[[550.0, 412.0], [724.0, 412.0], [724.0, 456.0], [550.0, 456.0]], ('ANYWHERE', 0.9967130422592163)], [[[497.0, 473.0], [777.0, 473.0], [777.0, 523.0], [497.0, 523.0]], ('69)69696969', 0.9576581716537476)], [[[248.0, 588.0], [351.0, 595.0], [348.0, 642.0], [245.0, 635.0]], ('DATE', 0.9977931976318359)], [[[793.0, 599.0], [1015.0, 597.0], [1016.0, 641.0], [794.0, 644.0]], ('02/02/2014', 0.996590793132782)], [[[250.0, 650.0], [353.0, 657.0], [350.0, 703.0], [248.0, 697.0]], ('TIME', 0.9972357749938965)], [[[902.0, 661.0], [1015.0, 661.0], [1015.0, 708.0], [902.0, 708.0]], ('11:11', 0.9364571571350098)], [[[252.0, 717.0], [456.0, 723.0], [455.0, 765.0], [250.0, 759.0]], ('CARD TYPE', 0.9587453007698059)], [[[962.0, 722.0], [1013.0, 722.0], [1013.0, 769.0], [962.0, 769.0]], ('MC', 0.9956583976745605)], [[[251.0, 782.0], [359.0, 782.0], [359.0, 826.0], [251.0, 826.0]], ('ACCT:', 0.9703717231750488)], [[[610.0, 789.0], [1008.0, 789.0], [1008.0, 831.0], [610.0, 831.0]], ('XXXXXXXXXXXX 1111', 0.9237549304962158)], [[[252.0, 843.0], [456.0, 849.0], [455.0, 893.0], [250.0, 887.0]], ('TRANS KEY', 0.9665324091911316)], [[[728.0, 853.0], [1013.0, 853.0], [1013.0, 895.0], [728.0, 895.0]], ('HYU8789798234', 0.9988806247711182)], [[[249.0, 905.0], [451.0, 910.0], [450.0, 955.0], [248.0, 949.0]], ('AUTH CODE', 0.9548084735870361)], [[[900.0, 912.0], [1013.0, 912.0], [1013.0, 959.0], [900.0, 959.0]], ('12345', 0.9991503953933716)], [[[244.0, 969.0], [432.0, 974.0], [431.0, 1016.0], [243.0, 1011.0]], ('EXP DATE', 0.9371926784515381)], [[[897.0, 976.0], [1013.0, 976.0], [1013.0, 1021.0], [897.0, 1021.0]], ('XX/XX', 0.9046722650527954)], [[[246.0, 1033.0], [374.0, 1033.0], [374.0, 1077.0], [246.0, 1077.0]], ('CHECK:', 0.9744114279747009)], [[[916.0, 1038.0], [1011.0, 1038.0], [1011.0, 1082.0], [916.0, 1082.0]], ('1111', 0.9988313913345337)], [[[246.0, 1097.0], [374.0, 1097.0], [374.0, 1142.0], [246.0, 1142.0]], ('TABLE:', 0.9834680557250977)], [[[897.0, 1100.0], [1011.0, 1100.0], [1011.0, 1147.0], [897.0, 1147.0]], ('11/11', 0.9978839755058289)], [[[244.0, 1159.0], [388.0, 1159.0], [388.0, 1203.0], [244.0, 1203.0]], ('SERVER', 0.9964602589607239)], [[[811.0, 1158.0], [1011.0, 1164.0], [1010.0, 1209.0], [810.0, 1203.0]], ('34MONIKA', 0.9788690209388733)], [[[242.0, 1284.0], [432.0, 1290.0], [431.0, 1334.0], [241.0, 1329.0]], ('Subtotal:', 0.950794517993927)], [[[832.0, 1290.0], [1008.0, 1290.0], [1008.0, 1334.0], [832.0, 1334.0]], ('$1969.69', 0.9922847151756287)], [[[240.0, 1410.0], [427.0, 1416.0], [426.0, 1460.0], [238.0, 1454.0]], ('Gratuity', 0.9928486943244934)], [[[236.0, 1541.0], [367.0, 1541.0], [367.0, 1593.0], [236.0, 1593.0]], ('Total:', 0.9804654717445374)], [[[229.0, 1743.0], [437.0, 1743.0], [437.0, 1788.0], [229.0, 1788.0]], ('Signature', 0.9861711859703064)], [[[471.0, 2071.0], [755.0, 2076.0], [754.0, 2121.0], [470.0, 2115.0]], ('Customer Copy', 0.9749013185501099)]]	{"store_name": "", "store_addr": "", "telephone": "(69)69696969", "date": "02/02/2014", "time": "11:11", "subtotal": "$1969.69", "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	[[[[64.0, 41.0], [258.0, 34.0], [260.0, 69.0], [65.0, 77.0]], ('REDCOW', 0.9604487419128418)], [[[76.0, 79.0], [251.0, 69.0], [252.0, 89.0], [77.0, 99.0]], ('fine burgers.beer &.wine', 0.8921496272087097)], [[[119.0, 102.0], [190.0, 99.0], [190.0, 113.0], [119.0, 116.0]], ('208 1st Ave N', 0.910094678401947)], [[[102.0, 116.0], [208.0, 109.0], [209.0, 123.0], [103.0, 130.0]], ('Minnapol1s. 55401', 0.8246066570281982)], [[[55.0, 140.0], [111.0, 140.0], [111.0, 151.0], [55.0, 151.0]], ('Server:Tre', 0.9319843053817749)], [[[212.0, 132.0], [266.0, 132.0], [266.0, 146.0], [212.0, 146.0]], ('06/04/2016', 0.9982873797416687)], [[[54.0, 150.0], [108.0, 150.0], [108.0, 164.0], [54.0, 164.0]], ('Table 23/1', 0.9203776121139526)], [[[222.0, 144.0], [267.0, 141.0], [268.0, 155.0], [222.0, 158.0]], ('12:36PM', 0.9370176196098328)], [[[53.0, 162.0], [104.0, 162.0], [104.0, 176.0], [53.0, 176.0]], ('Guests2', 0.9834188222885132)], [[[238.0, 155.0], [268.0, 155.0], [268.0, 169.0], [238.0, 169.0]], ('60017', 0.9981914758682251)], [[[52.0, 185.0], [150.0, 183.0], [150.0, 197.0], [52.0, 199.0]], ('DIET COKE (22.75', 0.8890377283096313)], [[[244.0, 179.0], [269.0, 179.0], [269.0, 191.0], [244.0, 191.0]], ('5.50', 0.9628350138664246)], [[[53.0, 198.0], [132.0, 198.0], [132.0, 211.0], [53.0, 211.0]], ('Ul t imate Burger', 0.8787819147109985)], [[[241.0, 191.0], [271.0, 191.0], [271.0, 205.0], [241.0, 205.0]], ('10.75', 0.9903566241264343)], [[[59.0, 209.0], [142.0, 206.0], [142.0, 220.0], [60.0, 223.0]], ('SH POTATO PLANK', 0.9356637597084045)], [[[246.0, 204.0], [271.0, 204.0], [271.0, 216.0], [246.0, 216.0]], ('1.00', 0.9942966103553772)], [[[51.0, 222.0], [123.0, 220.0], [123.0, 234.0], [51.0, 236.0]], ('Manhattan 2.0', 0.9115393161773682)], [[[242.0, 216.0], [273.0, 216.0], [273.0, 230.0], [242.0, 230.0]], ('16.50', 0.9806444048881531)], [[[52.0, 246.0], [96.0, 246.0], [96.0, 260.0], [52.0, 260.0]], ('Subtotal', 0.9848374128341675)], [[[243.0, 241.0], [274.0, 241.0], [274.0, 255.0], [243.0, 255.0]], ('33.75', 0.9911428689956665)], [[[54.0, 258.0], [73.0, 260.0], [71.0, 273.0], [52.0, 271.0]], ('Tax', 0.9828397631645203)], [[[248.0, 253.0], [275.0, 253.0], [275.0, 268.0], [248.0, 268.0]], ('3.64', 0.9861599206924438)], [[[52.0, 283.0], [82.0, 283.0], [82.0, 298.0], [52.0, 298.0]], ('Total', 0.9928839802742004)], [[[246.0, 279.0], [277.0, 279.0], [277.0, 294.0], [246.0, 294.0]], ('37.39', 0.9933503866195679)], [[[51.0, 309.0], [169.0, 307.0], [169.0, 321.0], [51.0, 324.0]], ('Balance Due', 0.9597367644309998)], [[[221.0, 306.0], [278.0, 306.0], [278.0, 320.0], [221.0, 320.0]], ('37.39', 0.9939482808113098)], [[[135.0, 334.0], [192.0, 334.0], [192.0, 349.0], [135.0, 349.0]], ('THANK YOU!', 0.9325987696647644)], [[[105.0, 349.0], [219.0, 349.0], [219.0, 363.0], [105.0, 363.0]], ('Follow us on Facebook', 0.9198826551437378)], [[[109.0, 363.0], [220.0, 363.0], [220.0, 376.0], [109.0, 376.0]], ('&Twitter @RedCo_MN', 0.8411880731582642)]]	{"store_name": "REDCOW", "store_addr": "2081stAveN Minneapolis.MN55401", "telephone": "", "date": "06/04/2016", "time": "12:36PM", "subtotal": "33.75", "tax": "3.64", "total": "37.39 37.39", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "DIETCOKE([email protected])", "item_value": "5.50", "item_quantity": "1"}, {"item_key": "", "item_name": "UltimateBurger", "item_value": "10.75", "item_quantity": "1"}, {"item_key": "", "item_name": "SMPOTATOPLANK", "item_value": "1.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Manhattan2.0", "item_value": "16.50", "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	[[[[1643.0, 237.0], [2315.0, 259.0], [2313.0, 317.0], [1641.0, 295.0]], ('Main Street Restaurant', 0.9458456635475159)], [[[1688.0, 291.0], [2270.0, 309.0], [2268.0, 367.0], [1686.0, 349.0]], ('6332 Business Drive', 0.9786257743835449)], [[[1832.0, 345.0], [2120.0, 364.0], [2116.0, 422.0], [1828.0, 403.0]], ('Suite 528', 0.9678024649620056)], [[[1570.0, 383.0], [2372.0, 409.0], [2370.0, 480.0], [1568.0, 453.0]], ('Palo Alto California 94301', 0.9854906797409058)], [[[1794.0, 449.0], [2140.0, 463.0], [2138.0, 517.0], [1792.0, 503.0]], ('575-1628095', 0.9966382384300232)], [[[1619.0, 595.0], [2303.0, 621.0], [2301.0, 680.0], [1617.0, 653.0]], ('Fri 04/07/2017 2:47 PM', 0.918313205242157)], [[[1545.0, 699.0], [1920.0, 713.0], [1917.0, 771.0], [1543.0, 758.0]], ('Merchant ID:', 0.9390206336975098)], [[[2039.0, 711.0], [2352.0, 726.0], [2349.0, 797.0], [2036.0, 782.0]], ('9hqjxvufdr', 0.9961820840835571)], [[[1546.0, 753.0], [1920.0, 772.0], [1917.0, 830.0], [1543.0, 812.0]], ('Terminal ID:', 0.9767147898674011)], [[[2199.0, 774.0], [2356.0, 784.0], [2352.0, 847.0], [2195.0, 836.0]], ('11111', 0.9977874755859375)], [[[1537.0, 866.0], [2135.0, 884.0], [2134.0, 942.0], [1535.0, 924.0]], ('Order ID:#4a59c18f', 0.9450036287307739)], [[[1538.0, 924.0], [2013.0, 947.0], [2011.0, 1005.0], [1535.0, 982.0]], ('Order Number:1', 0.9556671977043152)], [[[1541.0, 1037.0], [2168.0, 1055.0], [2166.0, 1121.0], [1539.0, 1104.0]], ('Chocolate Chip Cooki', 0.9814535975456238)], [[[2216.0, 1053.0], [2352.0, 1064.0], [2347.0, 1126.0], [2211.0, 1115.0]], ('5.00', 0.9979468584060669)], [[[1541.0, 1099.0], [1826.0, 1109.0], [1824.0, 1167.0], [1539.0, 1158.0]], ('Apple Pie', 0.9730562567710876)], [[[2216.0, 1117.0], [2351.0, 1117.0], [2351.0, 1179.0], [2216.0, 1179.0]], ('3.00', 0.9985188841819763)], [[[1548.0, 1171.0], [1821.0, 1171.0], [1821.0, 1217.0], [1548.0, 1217.0]], ('Lava Cake', 0.9767393469810486)], [[[2212.0, 1171.0], [2351.0, 1171.0], [2351.0, 1233.0], [2212.0, 1233.0]], ('4.00', 0.998228907585144)], [[[1544.0, 1275.0], [1825.0, 1275.0], [1825.0, 1333.0], [1544.0, 1333.0]], ('Sub Total', 0.978577196598053)], [[[2029.0, 1283.0], [2347.0, 1283.0], [2347.0, 1342.0], [2029.0, 1342.0]], ('USD$ 12.00', 0.9477531313896179)], [[[1546.0, 1322.0], [1673.0, 1339.0], [1665.0, 1402.0], [1538.0, 1385.0]], ('Tip:', 0.9825305342674255)], [[[2208.0, 1337.0], [2347.0, 1337.0], [2347.0, 1400.0], [2208.0, 1400.0]], ('2.16', 0.9981687068939209)], [[[1548.0, 1437.0], [1703.0, 1437.0], [1703.0, 1500.0], [1548.0, 1500.0]], ('Total', 0.9985036849975586)], [[[2029.0, 1446.0], [2343.0, 1446.0], [2343.0, 1504.0], [2029.0, 1504.0]], ('USD$14.16', 0.9927456378936768)], [[[1545.0, 1549.0], [2005.0, 1558.0], [2004.0, 1613.0], [1544.0, 1604.0]], ('Transaction ID:', 0.973242998123169)], [[[2061.0, 1562.0], [2334.0, 1562.0], [2334.0, 1608.0], [2061.0, 1608.0]], ('#1ca099eb', 0.9964345097541809)], [[[1551.0, 1603.0], [1708.0, 1614.0], [1704.0, 1676.0], [1547.0, 1665.0]], ('Type:', 0.9928275942802429)], [[[2155.0, 1616.0], [2334.0, 1616.0], [2334.0, 1662.0], [2155.0, 1662.0]], ('CREDIT', 0.9981511235237122)], [[[1818.0, 1707.0], [2066.0, 1717.0], [2064.0, 1776.0], [1816.0, 1766.0]], ('PURCHASE', 0.9935543537139893)], [[[1556.0, 1771.0], [1764.0, 1771.0], [1764.0, 1816.0], [1556.0, 1816.0]], ('Number:', 0.9828108549118042)], [[[1850.0, 1771.0], [2334.0, 1771.0], [2334.0, 1825.0], [1850.0, 1825.0]], ('XXXXXXXXXXXXX041', 0.8315433859825134)], [[[1556.0, 1821.0], [1886.0, 1821.0], [1886.0, 1879.0], [1556.0, 1879.0]], ('Entry Mode:', 0.9488054513931274)], [[[2151.0, 1829.0], [2334.0, 1829.0], [2334.0, 1875.0], [2151.0, 1875.0]], ('Swiped', 0.9977474212646484)], [[[1546.0, 1861.0], [1863.0, 1876.0], [1860.0, 1947.0], [1543.0, 1932.0]], ("Card'Type:", 0.9197112917900085)], [[[2086.0, 1875.0], [2338.0, 1875.0], [2338.0, 1933.0], [2086.0, 1933.0]], ('DISCOVER', 0.9981683492660522)], [[[1556.0, 1984.0], [1828.0, 1974.0], [1830.0, 2033.0], [1558.0, 2042.0]], ('Response:', 0.9942094087600708)], [[[2090.0, 1979.0], [2330.0, 1979.0], [2330.0, 2025.0], [2090.0, 2025.0]], ('APPROVED', 0.9973267316818237)], [[[2147.0, 2029.0], [2334.0, 2029.0], [2334.0, 2087.0], [2147.0, 2087.0]], ('826425', 0.9984877705574036)], [[[1555.0, 2042.0], [1970.0, 2024.0], [1973.0, 2082.0], [1558.0, 2101.0]], ('Approval Code:', 0.9661665558815002)], [[[1650.0, 2304.0], [2273.0, 2308.0], [2273.0, 2367.0], [1650.0, 2362.0]], ('Thanks for supporting', 0.9826555848121643)], [[[1723.0, 2362.0], [2171.0, 2362.0], [2171.0, 2416.0], [1723.0, 2416.0]], ('local business!', 0.9415652751922607)], [[[1813.0, 2475.0], [2086.0, 2475.0], [2086.0, 2533.0], [1813.0, 2533.0]], ('THANK YOU', 0.9657113552093506)]]	{"store_name": "MainStreetRestaurant", "store_addr": "6332BusinessDrive Suite528 PaloAltoCalifornia94301", "telephone": "575-1628095", "date": "04/07/2017", "time": "2:47PM", "subtotal": "$12.00", "tax": "", "total": "$14.16", "ignore": "", "tips": "2.16", "line_items": [{"item_key": "", "item_name": "ChocolateChipCooki", "item_value": "5.00", "item_quantity": "1"}, {"item_key": "", "item_name": "ApplePie", "item_value": "3.00", "item_quantity": "1"}, {"item_key": "", "item_name": "LavaCake", "item_value": "4.00", "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, 92.0], [261.0, 92.0], [261.0, 106.0], [127.0, 106.0]], ('Welcome to The Henry', 0.9290839433670044)], [[[98.0, 107.0], [298.0, 105.0], [298.0, 122.0], [98.0, 124.0]], ('The Cosmopolitan of Las Vegas', 0.9551785588264465)], [[[85.0, 123.0], [150.0, 123.0], [150.0, 141.0], [85.0, 141.0]], ('6/19/2013', 0.9969520568847656)], [[[275.0, 121.0], [312.0, 121.0], [312.0, 136.0], [275.0, 136.0]], ('14:04', 0.9659090042114258)], [[[166.0, 154.0], [230.0, 156.0], [229.0, 170.0], [165.0, 168.0]], ('The Henry', 0.9578982591629028)], [[[81.0, 170.0], [187.0, 170.0], [187.0, 184.0], [81.0, 184.0]], ('Check3448668', 0.9932535290718079)], [[[220.0, 169.0], [287.0, 167.0], [287.0, 184.0], [220.0, 186.0]], ('Table:11', 0.949180006980896)], [[[81.0, 187.0], [168.0, 185.0], [169.0, 202.0], [81.0, 204.0]], ('ServerSARA', 0.9892078638076782)], [[[219.0, 184.0], [287.0, 183.0], [287.0, 201.0], [219.0, 202.0]], ('Guests:3', 0.9417628645896912)], [[[82.0, 203.0], [173.0, 203.0], [173.0, 220.0], [82.0, 220.0]], ('Terminal:341', 0.9296887516975403)], [[[56.0, 224.0], [78.0, 224.0], [78.0, 289.0], [56.0, 289.0]], ('COOSOR', 0.5492091178894043)], [[[153.0, 237.0], [244.0, 237.0], [244.0, 254.0], [153.0, 254.0]], ('Regular Check', 0.9835544228553772)], [[[127.0, 254.0], [211.0, 254.0], [211.0, 271.0], [127.0, 271.0]], ('1 Daily Soup', 0.8820211291313171)], [[[281.0, 251.0], [316.0, 251.0], [316.0, 269.0], [281.0, 269.0]], ('8.00', 0.9927296042442322)], [[[126.0, 271.0], [225.0, 271.0], [225.0, 288.0], [126.0, 288.0]], ('1 Tuscan Salad', 0.9555457234382629)], [[[276.0, 269.0], [316.0, 269.0], [316.0, 287.0], [276.0, 287.0]], ('11.00', 0.9949523210525513)], [[[126.0, 288.0], [209.0, 288.0], [209.0, 302.0], [126.0, 302.0]], ('1French Dip', 0.9160165786743164)], [[[277.0, 287.0], [314.0, 287.0], [314.0, 302.0], [277.0, 302.0]], ('16.00', 0.9924713969230652)], [[[126.0, 304.0], [252.0, 304.0], [252.0, 322.0], [126.0, 322.0]], ('1 Red Velvet Chees', 0.9364023208618164)], [[[282.0, 303.0], [315.0, 303.0], [315.0, 320.0], [282.0, 320.0]], ('7.00', 0.9875553846359253)], [[[154.0, 338.0], [211.0, 338.0], [211.0, 355.0], [154.0, 355.0]], ('Subtotal', 0.9919701814651489)], [[[263.0, 336.0], [302.0, 336.0], [302.0, 354.0], [263.0, 354.0]], ('42.00', 0.9927049875259399)], [[[187.0, 355.0], [213.0, 355.0], [213.0, 371.0], [187.0, 371.0]], ('Tax', 0.9965969920158386)], [[[266.0, 353.0], [303.0, 353.0], [303.0, 371.0], [266.0, 371.0]], ('3.40', 0.9895457029342651)], [[[174.0, 370.0], [212.0, 370.0], [212.0, 388.0], [174.0, 388.0]], ('Total', 0.9766494631767273)], [[[263.0, 368.0], [303.0, 370.0], [302.0, 389.0], [262.0, 386.0]], ('45.40', 0.9902065992355347)], [[[56.0, 417.0], [77.0, 418.0], [70.0, 545.0], [49.0, 544.0]], ('OSMOPOLITAN"', 0.934371292591095)], [[[127.0, 423.0], [267.0, 422.0], [267.0, 439.0], [127.0, 440.0]], ('Earn Points Anywhere', 0.9609366655349731)], [[[153.0, 441.0], [248.0, 441.0], [248.0, 458.0], [153.0, 458.0]], ('With Identity', 0.956221342086792)], [[[88.0, 459.0], [301.0, 458.0], [301.0, 475.0], [88.0, 476.0]], ('Show Your Card Or Enroll Today', 0.9308260679244995)]]	{"store_name": "TheHenry", "store_addr": "", "telephone": "", "date": "6/19/2013", "time": "14:04", "subtotal": "42.00", "tax": "3.40", "total": "45.40", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "DailySoup", "item_value": "8.00", "item_quantity": "1"}, {"item_key": "", "item_name": "TuscanSalad", "item_value": "11.00", "item_quantity": "1"}, {"item_key": "", "item_name": "FrenchDip", "item_value": "16.00", "item_quantity": "1"}, {"item_key": "", "item_name": "RedVelvetChees", "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	[[[[254.0, 34.0], [403.0, 40.0], [403.0, 59.0], [254.0, 54.0]], ('Starbucks Coftee', 0.8876948356628418)], [[[245.0, 48.0], [402.0, 56.0], [401.0, 72.0], [244.0, 65.0]], ('02-12/13.Bug1s', 0.811258852481842)], [[[236.0, 62.0], [410.0, 70.0], [409.0, 87.0], [235.0, 79.0]], ('201 Victor la Street', 0.8702470660209656)], [[[241.0, 79.0], [404.0, 85.0], [404.0, 102.0], [241.0, 96.0]], ('Singapore. 188067', 0.8740867972373962)], [[[241.0, 92.0], [404.0, 99.0], [403.0, 117.0], [240.0, 109.0]], ('TeNO6910-1319', 0.9053010940551758)], [[[230.0, 105.0], [422.0, 116.0], [421.0, 136.0], [229.0, 125.0]], ('GST NO19-8800670-D', 0.9259870052337646)], [[[143.0, 136.0], [229.0, 136.0], [229.0, 154.0], [143.0, 154.0]], ('19 Atikah', 0.9266928434371948)], [[[123.0, 166.0], [207.0, 168.0], [207.0, 189.0], [123.0, 186.0]], ('k5760', 0.8765920400619507)], [[[293.0, 174.0], [450.0, 186.0], [449.0, 207.0], [292.0, 195.0]], ("Dec29'1706:32PM", 0.9171265363693237)], [[[161.0, 201.0], [264.0, 210.0], [262.0, 231.0], [159.0, 222.0]], ('ToGo', 0.8829979300498962)], [[[137.0, 220.0], [321.0, 236.0], [319.0, 257.0], [135.0, 240.0]], ('2 ButteryCroissant', 0.9672045111656189)], [[[157.0, 240.0], [204.0, 245.0], [201.0, 267.0], [154.0, 262.0]], ('Cash', 0.9954594969749451)], [[[442.0, 241.0], [487.0, 245.0], [484.0, 269.0], [439.0, 265.0]], ('7.00', 0.9954731464385986)], [[[432.0, 263.0], [484.0, 267.0], [482.0, 290.0], [430.0, 286.0]], ('50.00', 0.9950542449951172)], [[[205.0, 293.0], [320.0, 301.0], [319.0, 321.0], [204.0, 314.0]], ('0.467%GST', 0.9587233066558838)], [[[152.0, 312.0], [208.0, 314.0], [207.0, 336.0], [151.0, 333.0]], ('Total', 0.9959306716918945)], [[[463.0, 307.0], [510.0, 311.0], [508.0, 332.0], [461.0, 328.0]], ('7.00', 0.995835542678833)], [[[150.0, 332.0], [227.0, 336.0], [226.0, 358.0], [149.0, 354.0]], ('Payment', 0.9971617460250854)], [[[448.0, 325.0], [492.0, 328.0], [491.0, 347.0], [447.0, 344.0]], ('7.00', 0.9970712065696716)], [[[412.0, 340.0], [492.0, 345.0], [491.0, 366.0], [411.0, 361.0]], ('7.00', 0.9884575009346008)], [[[148.0, 354.0], [257.0, 358.0], [257.0, 379.0], [148.0, 376.0]], ('ChangeDue', 0.9965530037879944)], [[[441.0, 361.0], [495.0, 364.0], [494.0, 385.0], [440.0, 383.0]], ('43.00', 0.9957389831542969)], [[[221.0, 394.0], [446.0, 399.0], [446.0, 420.0], [221.0, 415.0]], ('*Thank You ', 0.9076933264732361)], [[[177.0, 413.0], [490.0, 421.0], [490.0, 444.0], [177.0, 437.0]], ('Please Come Again **', 0.9281465411186218)], [[[174.0, 460.0], [465.0, 463.0], [465.0, 486.0], [174.0, 483.0]], ('Price payable includes GST.', 0.9350199699401855)], [[[152.0, 484.0], [489.0, 488.0], [489.0, 509.0], [152.0, 504.0]], ('GST is not payable for purchase', 0.9486687779426575)], [[[139.0, 507.0], [489.0, 510.0], [489.0, 531.0], [139.0, 528.0]], ('or loading of the Starbucks Card', 0.948758602142334)], [[[159.0, 553.0], [423.0, 555.0], [423.0, 576.0], [159.0, 574.0]], ('Share in your experience', 0.9548366069793701)], [[[138.0, 578.0], [464.0, 578.0], [464.0, 597.0], [138.0, 597.0]], ('and enjoy a compimentary ta17', 0.9130417108535767)], [[[146.0, 599.0], [453.0, 600.0], [453.0, 620.0], [146.0, 619.0]], ('hand-crafted Beverage on us!', 0.9427623748779297)], [[[278.0, 642.0], [337.0, 642.0], [337.0, 667.0], [278.0, 667.0]], ('Visit', 0.9967519640922546)], [[[152.0, 668.0], [467.0, 669.0], [467.0, 693.0], [152.0, 692.0]], ('www.mystarbucksvisit-sg.com,', 0.989126980304718)], [[[141.0, 696.0], [459.0, 696.0], [459.0, 716.0], [141.0, 716.0]], ('enter the Customer Code from', 0.9484642744064331)], [[[162.0, 721.0], [427.0, 721.0], [427.0, 743.0], [162.0, 743.0]], ('this receipt,write the', 0.9460124969482422)], [[[146.0, 746.0], [438.0, 744.0], [438.0, 768.0], [146.0, 770.0]], ('complimentary beverage ID', 0.9461836814880371)], [[[120.0, 773.0], [472.0, 769.0], [472.0, 793.0], [120.0, 797.0]], ('number below, and present this', 0.9316934943199158)], [[[120.0, 798.0], [472.0, 795.0], [472.0, 818.0], [120.0, 821.0]], ('receipt for your complimentary', 0.9531458616256714)], [[[143.0, 823.0], [459.0, 820.0], [459.0, 843.0], [143.0, 846.0]], ('ta11hand-crafted beverage,', 0.9523690342903137)]]	{"store_name": "StarbucksCoffee", "store_addr": "#02-12/13. 201VictoriaStreet", "telephone": "6910-1319", "date": "Dec29'17", "time": "06:32PM", "subtotal": "", "tax": "", "total": "7.00", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "ButteryCroissant", "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	[[[[461.0, 28.0], [476.0, 28.0], [476.0, 41.0], [461.0, 41.0]], ('a', 0.9584491848945618)], [[[103.0, 82.0], [380.0, 80.0], [380.0, 97.0], [103.0, 99.0]], ('Barnes & Noble Booksellers #2722', 0.8952149152755737)], [[[171.0, 100.0], [299.0, 100.0], [299.0, 117.0], [171.0, 117.0]], ('9618 Watson Rd', 0.9446956515312195)], [[[457.0, 95.0], [479.0, 102.0], [478.0, 121.0], [452.0, 115.0]], ('lot', 0.6230275630950928)], [[[156.0, 118.0], [320.0, 118.0], [320.0, 135.0], [156.0, 135.0]], ('Crestwood.M0 63126', 0.9235200881958008)], [[[29.0, 137.0], [44.0, 137.0], [44.0, 152.0], [29.0, 152.0]], ('al', 0.5357990264892578)], [[[188.0, 136.0], [294.0, 134.0], [294.0, 151.0], [188.0, 153.0]], ('314-843-9480', 0.9940378069877625)], [[[454.0, 129.0], [477.0, 129.0], [477.0, 153.0], [454.0, 153.0]], ('ter', 0.9878407120704651)], [[[58.0, 170.0], [376.0, 170.0], [376.0, 184.0], [58.0, 184.0]], ('SIR:2722 REG003 TRN:6991 CSHR:MarV B', 0.8203009963035583)], [[[56.0, 203.0], [339.0, 204.0], [339.0, 221.0], [56.0, 220.0]], ('2012 America By Rai1 Wa11 Calendar', 0.90503990650177)], [[[5.0, 230.0], [51.0, 246.0], [44.0, 265.0], [0.0, 249.0]], ('THISC', 0.986907958984375)], [[[74.0, 222.0], [183.0, 222.0], [183.0, 236.0], [74.0, 236.0]], ('9780764958724', 0.9979366064071655)], [[[249.0, 222.0], [268.0, 222.0], [268.0, 235.0], [249.0, 235.0]], ('T1', 0.7165926098823547)], [[[75.0, 237.0], [308.0, 237.0], [308.0, 254.0], [75.0, 254.0]], ('113.99PROM050%7.00', 0.9466791152954102)], [[[14.0, 254.0], [52.0, 265.0], [46.0, 285.0], [8.0, 274.0]], ('HOLA', 0.8958130478858948)], [[[75.0, 254.0], [158.0, 254.0], [158.0, 271.0], [75.0, 271.0]], ('16.99', 0.9955264925956726)], [[[372.0, 254.0], [411.0, 254.0], [411.0, 272.0], [372.0, 272.0]], ('6.99', 0.9963029026985168)], [[[58.0, 287.0], [124.0, 287.0], [124.0, 304.0], [58.0, 304.0]], ('Subtotal', 0.9962257146835327)], [[[371.0, 287.0], [410.0, 287.0], [410.0, 305.0], [371.0, 305.0]], ('6.99', 0.9965767860412598)], [[[59.0, 304.0], [231.0, 304.0], [231.0, 321.0], [59.0, 321.0]], ('Sales Tax T1 8.425%', 0.9386464357376099)], [[[371.0, 303.0], [409.0, 303.0], [409.0, 321.0], [371.0, 321.0]], ('0.59', 0.9938377141952515)], [[[59.0, 321.0], [99.0, 321.0], [99.0, 336.0], [59.0, 336.0]], ('TOTAL', 0.9977947473526001)], [[[371.0, 320.0], [409.0, 320.0], [409.0, 338.0], [371.0, 338.0]], ('7.58', 0.886298418045044)], [[[58.0, 336.0], [96.0, 336.0], [96.0, 354.0], [58.0, 354.0]], ('CASH', 0.9977116584777832)], [[[365.0, 337.0], [410.0, 337.0], [410.0, 355.0], [365.0, 355.0]], ('20.60', 0.9953075647354126)], [[[59.0, 353.0], [150.0, 353.0], [150.0, 370.0], [59.0, 370.0]], ('CASH CHANGE', 0.9754540920257568)], [[[365.0, 353.0], [411.0, 353.0], [411.0, 371.0], [365.0, 371.0]], ('13.02', 0.9951979517936707)], [[[58.0, 388.0], [265.0, 388.0], [265.0, 402.0], [58.0, 402.0]], ('A MEMBER WOULD HAVE SAVED', 0.9395015835762024)], [[[369.0, 384.0], [411.0, 384.0], [411.0, 406.0], [369.0, 406.0]], ('0.70', 0.9908541440963745)], [[[125.0, 438.0], [350.0, 438.0], [350.0, 451.0], [125.0, 451.0]], ('ALLCLEARANCE PRODUCT SALES', 0.9617792367935181)], [[[92.0, 451.0], [392.0, 453.0], [392.0, 470.0], [92.0, 468.0]], ('ARE FINAL -NO RETURNS NOR EXCHANGES', 0.9401853084564209)], [[[451.0, 466.0], [479.0, 475.0], [479.0, 491.0], [447.0, 482.0]], ('Am', 0.8522789478302002)], [[[57.0, 482.0], [119.0, 480.0], [120.0, 501.0], [58.0, 503.0]], ('101.27A', 0.9906956553459167)], [[[250.0, 487.0], [408.0, 487.0], [408.0, 501.0], [250.0, 501.0]], ('12/06/201112:48PM', 0.9758660793304443)], [[[451.0, 484.0], [479.0, 492.0], [478.0, 508.0], [447.0, 500.0]], ('entr', 0.9953806400299072)], [[[6.0, 592.0], [53.0, 610.0], [44.0, 635.0], [0.0, 616.0]], ('ASI', 0.890670120716095)], [[[183.0, 593.0], [289.0, 592.0], [289.0, 610.0], [183.0, 611.0]], ('CUSTOMER COPY', 0.9637367725372314)]]	{"store_name": "Barnes&NobleBooksellers", "store_addr": "Crestwood,MO63126 9618WatsonRd.", "telephone": "314-843-9480", "date": "12/06/2011", "time": "12:48PM", "subtotal": "6.99", "tax": "0.59", "total": "7.58", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "2012AmericaByRailWallCalendar", "item_value": "6.99", "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	[[[[273.0, 97.0], [289.0, 97.0], [291.0, 196.0], [275.0, 196.0]], ('Regular #15 Meatba', 0.9149953126907349)], [[[289.0, 97.0], [300.0, 97.0], [300.0, 148.0], [289.0, 148.0]], ('G1ant 6', 0.8246539831161499)], [[[312.0, 90.0], [326.0, 90.0], [326.0, 168.0], [312.0, 168.0]], ('Server:Andrea', 0.9448678493499756)], [[[198.0, 110.0], [211.0, 110.0], [215.0, 178.0], [201.0, 179.0]], ('Regular CHIP', 0.96414715051651)], [[[226.0, 101.0], [237.0, 101.0], [237.0, 152.0], [226.0, 152.0]], ('Reg Conbo', 0.922678530216217)], [[[211.0, 111.0], [222.0, 111.0], [225.0, 152.0], [214.0, 152.0]], ('ReguTar', 0.9165369272232056)], [[[236.0, 110.0], [250.0, 110.0], [253.0, 178.0], [239.0, 179.0]], ('Regular CHIP', 0.9535192847251892)], [[[249.0, 107.0], [263.0, 107.0], [265.0, 197.0], [251.0, 197.0]], ('Regular FOUNTAIN', 0.9566066265106201)], [[[264.0, 103.0], [275.0, 103.0], [275.0, 149.0], [264.0, 149.0]], ('Reg Combo', 0.9215781688690186)], [[[14.0, 128.0], [31.0, 127.0], [35.0, 254.0], [18.0, 254.0]], ('Reg1strat ion Code:4386', 0.8939766883850098)], [[[30.0, 128.0], [45.0, 127.0], [48.0, 253.0], [32.0, 253.0]], ('JMClub*******4386', 0.7889063954353333)], [[[81.0, 120.0], [98.0, 119.0], [101.0, 203.0], [84.0, 204.0]], ('Paid Visa 7242', 0.9386264085769653)], [[[99.0, 135.0], [113.0, 135.0], [113.0, 200.0], [99.0, 200.0]], ('Added t1ps', 0.9011745452880859)], [[[57.0, 149.0], [74.0, 149.0], [74.0, 231.0], [57.0, 231.0]], ('Items sold:4', 0.9210031032562256)], [[[126.0, 148.0], [136.0, 148.0], [136.0, 176.0], [126.0, 176.0]], ('Total', 0.9722660183906555)], [[[137.0, 147.0], [151.0, 147.0], [151.0, 200.0], [137.0, 200.0]], ('8.05%Tax', 0.9103106260299683)], [[[151.0, 150.0], [162.0, 150.0], [162.0, 192.0], [151.0, 192.0]], ('Taxable', 0.9875995516777039)], [[[163.0, 146.0], [177.0, 146.0], [177.0, 197.0], [163.0, 197.0]], ('Sub Total', 0.9207471013069153)], [[[211.0, 147.0], [226.0, 146.0], [229.0, 197.0], [214.0, 198.0]], ('FOUNTAIN', 0.9829084873199463)], [[[313.0, 188.0], [327.0, 188.0], [327.0, 276.0], [313.0, 276.0]], ('07/17/143:19 PM', 0.9431670308113098)], [[[99.0, 215.0], [113.0, 215.0], [113.0, 247.0], [99.0, 247.0]], ('$5.26', 0.9906628727912903)], [[[227.0, 222.0], [242.0, 222.0], [242.0, 256.0], [227.0, 256.0]], ('2.19', 0.9854094386100769)], [[[287.0, 217.0], [301.0, 216.0], [304.0, 249.0], [290.0, 250.0]], ('12.45', 0.9895962476730347)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "07/17/14", "time": "3:19PM", "subtotal": "$24.33 $24.33", "tax": "$1.96", "total": "$26.29", "ignore": "", "tips": "$5.26", "line_items": [{"item_key": "", "item_name": "Giant#6", "item_value": "12.45", "item_quantity": "1"}, {"item_key": "", "item_name": "Regular#15Meatba", "item_value": "7.50", "item_quantity": "1"}, {"item_key": "", "item_name": "RegCombo", "item_value": "2.19", "item_quantity": "1"}, {"item_key": "", "item_name": "RegularFOUNTAIN", "item_value": "2.19", "item_quantity": "1"}, {"item_key": "", "item_name": "RegularCHIP", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "RegCombo", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "RegularFOUNTAIN", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "RegularCHIP", "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	[[[[278.0, 0.0], [428.0, 57.0], [406.0, 114.0], [256.0, 57.0]], ('TRAY:T5', 0.9216131567955017)], [[[317.0, 0.0], [376.0, 10.0], [368.0, 41.0], [309.0, 25.0]], ('INFO:', 0.962037205696106)], [[[490.0, 0.0], [657.0, 7.0], [655.0, 39.0], [488.0, 31.0]], ('Check #433675', 0.9615277051925659)], [[[261.0, 161.0], [492.0, 226.0], [481.0, 263.0], [251.0, 198.0]], ('1>French Fries Med', 0.9730623960494995)], [[[660.0, 176.0], [723.0, 183.0], [719.0, 220.0], [656.0, 212.0]], ('7.49', 0.9877636432647705)], [[[294.0, 246.0], [356.0, 261.0], [349.0, 288.0], [288.0, 273.0]], ('edium', 0.9922067523002625)], [[[238.0, 265.0], [438.0, 312.0], [431.0, 342.0], [231.0, 294.0]], ('1 Onion Rings Med', 0.9501118659973145)], [[[645.0, 283.0], [703.0, 292.0], [698.0, 325.0], [640.0, 316.0]], ('1.80', 0.9936100840568542)], [[[178.0, 349.0], [238.0, 359.0], [233.0, 390.0], [172.0, 380.0]], ('Net:', 0.97207111120224)], [[[631.0, 349.0], [693.0, 361.0], [686.0, 397.0], [624.0, 385.0]], ('2.69', 0.9885653853416443)], [[[171.0, 378.0], [240.0, 392.0], [234.0, 424.0], [165.0, 410.0]], ('Tax%:', 0.9349015951156616)], [[[158.0, 441.0], [280.0, 464.0], [274.0, 493.0], [152.0, 470.0]], ('Total', 0.9979454278945923)], [[[606.0, 447.0], [673.0, 461.0], [666.0, 492.0], [599.0, 479.0]], ('11.98', 0.9962425231933594)], [[[147.0, 472.0], [252.0, 492.0], [246.0, 518.0], [142.0, 497.0]], ('PAYMENTS', 0.9951436519622803)], [[[607.0, 482.0], [666.0, 496.0], [660.0, 526.0], [600.0, 513.0]], ('0.84', 0.9960689544677734)], [[[141.0, 500.0], [397.0, 557.0], [390.0, 586.0], [135.0, 529.0]], ('Visa ************9668', 0.9284374713897705)], [[[529.0, 528.0], [649.0, 558.0], [642.0, 588.0], [522.0, 557.0]], ('12.82', 0.9898921847343445)], [[[719.0, 525.0], [933.0, 532.0], [931.0, 574.0], [717.0, 567.0]], ('WEETON', 0.9950656294822693)], [[[126.0, 560.0], [308.0, 602.0], [302.0, 630.0], [120.0, 588.0]], ('Total Payments:', 0.9434131979942322)], [[[120.0, 590.0], [403.0, 660.0], [396.0, 689.0], [112.0, 618.0]], ('Your Change:', 0.9557973742485046)], [[[571.0, 603.0], [641.0, 620.0], [632.0, 655.0], [562.0, 638.0]], ('12.82', 0.9951335191726685)], [[[724.0, 599.0], [955.0, 606.0], [953.0, 645.0], [723.0, 638.0]], ('TEACHERS', 0.9967456459999084)], [[[108.0, 620.0], [284.0, 661.0], [277.0, 689.0], [101.0, 648.0]], ('Carhop:Daniel', 0.9378949403762817)], [[[101.0, 649.0], [220.0, 677.0], [213.0, 707.0], [94.0, 680.0]], ('Stall 18', 0.9412906169891357)], [[[554.0, 670.0], [622.0, 685.0], [615.0, 717.0], [547.0, 701.0]], ('12.82', 0.9944906234741211)], [[[689.0, 670.0], [926.0, 673.0], [926.0, 708.0], [688.0, 705.0]], ('INOVATIVE', 0.9878568649291992)], [[[506.0, 692.0], [611.0, 719.0], [603.0, 749.0], [498.0, 722.0]], ('0.00', 0.9936898946762085)], [[[321.0, 704.0], [569.0, 775.0], [561.0, 805.0], [313.0, 733.0]], ('04-Dec-2015 23:52:51', 0.9410921335220337)], [[[668.0, 735.0], [878.0, 738.0], [878.0, 774.0], [668.0, 772.0]], ('SFOR THE', 0.9473313093185425)], [[[282.0, 763.0], [397.0, 786.0], [391.0, 814.0], [276.0, 791.0]], ('THANK YOU', 0.9471314549446106)], [[[210.0, 776.0], [459.0, 836.0], [451.0, 868.0], [202.0, 808.0]], ('FOR CHOOSING SONIC!!', 0.9636890292167664)], [[[58.0, 804.0], [126.0, 821.0], [119.0, 851.0], [51.0, 834.0]], ('Sides', 0.9986721277236938)], [[[654.0, 802.0], [839.0, 795.0], [840.0, 832.0], [655.0, 839.0]], ('SSROOM', 0.9972522258758545)], [[[51.0, 837.0], [229.0, 880.0], [222.0, 908.0], [44.0, 866.0]], ('Dessert/Frozen', 0.9970663785934448)], [[[45.0, 869.0], [297.0, 928.0], [290.0, 956.0], [38.0, 897.0]], ('Burger/Sands/Chicken', 0.9977989196777344)], [[[415.0, 896.0], [435.0, 900.0], [429.0, 929.0], [408.0, 925.0]], ('2', 0.9931104183197021)], [[[627.0, 896.0], [849.0, 874.0], [852.0, 909.0], [630.0, 931.0]], ('r your favorite at', 0.9670042395591736)], [[[33.0, 925.0], [233.0, 973.0], [226.0, 999.0], [26.0, 953.0]], ('Package Savings:', 0.950427770614624)], [[[411.0, 925.0], [428.0, 928.0], [423.0, 955.0], [406.0, 952.0]], ('1', 0.952978253364563)], [[[404.0, 957.0], [421.0, 957.0], [421.0, 981.0], [404.0, 981.0]], ('1', 0.9313461780548096)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "04-Dec-2015", "time": "23:52:51", "subtotal": "11.98", "tax": "0.84", "total": "12.82 12.82", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "Combo#2SuperSonic-Med", "item_value": "7.49", "item_quantity": "1"}, {"item_key": "", "item_name": ">SSChzbgrWorks", "item_value": "1.80", "item_quantity": "1"}, {"item_key": "", "item_name": ">FrenchFriesMed", "item_value": "2.69", "item_quantity": "1"}, {"item_key": "", "item_name": "SHAKEStrawbCheesecakeM", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "edium", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "OnionRingsMed", "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	[[[[162.0, 12.0], [335.0, 30.0], [332.0, 54.0], [159.0, 36.0]], ('JACK INTHEBOX', 0.7744575142860413)], [[[190.0, 52.0], [304.0, 63.0], [302.0, 88.0], [188.0, 76.0]], ('CARRY OUT #449', 0.9158903360366821)], [[[102.0, 66.0], [212.0, 76.0], [211.0, 93.0], [100.0, 83.0]], ('Te1323)465-3617', 0.9084679484367371)], [[[98.0, 86.0], [165.0, 90.0], [164.0, 104.0], [97.0, 100.0]], ('06/15/2007', 0.9923615455627441)], [[[315.0, 86.0], [375.0, 95.0], [372.0, 112.0], [313.0, 103.0]], ('JIB#3173', 0.9456579089164734)], [[[313.0, 103.0], [385.0, 114.0], [382.0, 131.0], [311.0, 121.0]], ('03:39:47PM', 0.8393579721450806)], [[[101.0, 119.0], [246.0, 132.0], [244.0, 146.0], [100.0, 133.0]], ('1 Sir loin B&C BgFF #1', 0.8985481858253479)], [[[278.0, 116.0], [303.0, 121.0], [300.0, 137.0], [276.0, 133.0]], ('Emp', 0.9103203415870667)], [[[126.0, 138.0], [251.0, 150.0], [250.0, 164.0], [125.0, 152.0]], ('WITH REAL. SWISS CHS', 0.9023467302322388)], [[[316.0, 138.0], [346.0, 142.0], [344.0, 158.0], [314.0, 154.0]], ('5.99', 0.996768057346344)], [[[359.0, 129.0], [371.0, 129.0], [371.0, 143.0], [359.0, 143.0]], ('D', 0.9513847827911377)], [[[124.0, 154.0], [248.0, 166.0], [247.0, 181.0], [123.0, 169.0]], ('WITH GRILLED ONTONS', 0.8998714089393616)], [[[122.0, 170.0], [190.0, 178.0], [188.0, 194.0], [121.0, 186.0]], ('P1s SM Fry', 0.8628119230270386)], [[[120.0, 188.0], [200.0, 197.0], [198.0, 212.0], [119.0, 203.0]], ('Sm1 Lemonade', 0.9017281532287598)], [[[189.0, 211.0], [245.0, 217.0], [243.0, 234.0], [187.0, 228.0]], ('SubTotal', 0.942600429058075)], [[[188.0, 230.0], [212.0, 230.0], [212.0, 247.0], [188.0, 247.0]], ('Tax', 0.9928619265556335)], [[[322.0, 224.0], [351.0, 228.0], [349.0, 244.0], [320.0, 240.0]], ('5.99', 0.9930953979492188)], [[[320.0, 242.0], [349.0, 245.0], [348.0, 261.0], [319.0, 258.0]], ('0.49', 0.9938693046569824)], [[[186.0, 257.0], [219.0, 261.0], [217.0, 277.0], [184.0, 273.0]], ('Total', 0.9588587880134583)], [[[316.0, 259.0], [348.0, 262.0], [346.0, 289.0], [314.0, 286.0]], ('6.48', 0.988182783126831)], [[[183.0, 270.0], [214.0, 273.0], [213.0, 288.0], [182.0, 286.0]], ('CASH', 0.9977728128433228)], [[[181.0, 286.0], [227.0, 294.0], [222.0, 322.0], [176.0, 313.0]], ('Change', 0.9558426737785339)], [[[315.0, 284.0], [345.0, 286.0], [344.0, 302.0], [314.0, 300.0]], ('7.00', 0.9935320615768433)], [[[311.0, 299.0], [344.0, 303.0], [342.0, 330.0], [309.0, 327.0]], ('0.52', 0.9911287426948547)], [[[141.0, 326.0], [300.0, 342.0], [297.0, 367.0], [139.0, 350.0]], ('Thank you for your visit', 0.9388746619224548)], [[[198.0, 355.0], [240.0, 358.0], [239.0, 373.0], [197.0, 371.0]], ('494449', 0.994792640209198)]]	{"store_name": "JACKINTHEBOX", "store_addr": "", "telephone": "(323)465-3617", "date": "06/15/2007", "time": "03:39:47PM", "subtotal": "5.99", "tax": "0.49", "total": "Total 6.48", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "SirloinB&CBg+FF#1", "item_value": "5.99", "item_quantity": "1"}, {"item_key": "", "item_name": "WITHREALSWISSCHS", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "WITHGRILLEDONIONS", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "PlsSMFry", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "SmlLemonade", "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	[[[[78.0, 5.0], [198.0, 12.0], [197.0, 29.0], [77.0, 22.0]], ('AREAS USA LAXLLC', 0.9637954831123352)], [[[98.0, 25.0], [185.0, 30.0], [184.0, 44.0], [97.0, 39.0]], ('NATURAL BREAK', 0.9657588601112366)], [[[60.0, 38.0], [219.0, 45.0], [218.0, 63.0], [59.0, 55.0]], ("1.OS ANGELES INT'L AIRPORT", 0.8588771820068359)], [[[73.0, 55.0], [154.0, 60.0], [153.0, 76.0], [72.0, 71.0]], ('10674Juan B', 0.9518532156944275)], [[[55.0, 88.0], [95.0, 88.0], [95.0, 103.0], [55.0, 103.0]], ('824', 0.861799418926239)], [[[94.0, 106.0], [195.0, 106.0], [195.0, 121.0], [94.0, 121.0]], ("01APR'1712:01PM", 0.9411428570747375)], [[[131.0, 134.0], [159.0, 137.0], [157.0, 153.0], [129.0, 150.0]], ('TOGO', 0.9977564811706543)], [[[64.0, 151.0], [176.0, 151.0], [176.0, 165.0], [64.0, 165.0]], ('ICHIPS JALAPENO N', 0.8819758296012878)], [[[202.0, 152.0], [230.0, 152.0], [230.0, 168.0], [202.0, 168.0]], ('3.99', 0.9970558881759644)], [[[64.0, 166.0], [159.0, 167.0], [158.0, 181.0], [64.0, 180.0]], ('16 GRN TKYCALI', 0.8988006711006165)], [[[198.0, 168.0], [230.0, 168.0], [230.0, 183.0], [198.0, 183.0]], ('11.49', 0.9885480999946594)], [[[66.0, 180.0], [134.0, 182.0], [133.0, 197.0], [65.0, 195.0]], ('IL.G COFFEE', 0.8907251954078674)], [[[201.0, 182.0], [230.0, 182.0], [230.0, 197.0], [201.0, 197.0]], ('2.99', 0.9966537356376648)], [[[76.0, 196.0], [107.0, 196.0], [107.0, 211.0], [76.0, 211.0]], ('CASH', 0.9916138648986816)], [[[195.0, 197.0], [230.0, 197.0], [230.0, 211.0], [195.0, 211.0]], ('21.00', 0.9934714436531067)], [[[77.0, 209.0], [105.0, 211.0], [104.0, 226.0], [75.0, 224.0]], ('FOOD', 0.9829481244087219)], [[[198.0, 212.0], [229.0, 212.0], [229.0, 226.0], [198.0, 226.0]], ('18.47', 0.995632529258728)], [[[77.0, 223.0], [101.0, 226.0], [99.0, 241.0], [75.0, 239.0]], ('TAX', 0.9733555912971497)], [[[201.0, 226.0], [230.0, 226.0], [230.0, 241.0], [201.0, 241.0]], ('1.66', 0.986858606338501)], [[[77.0, 240.0], [123.0, 240.0], [123.0, 254.0], [77.0, 254.0]], ('PAYMENT', 0.9951635003089905)], [[[197.0, 240.0], [230.0, 240.0], [230.0, 255.0], [197.0, 255.0]], ('20.13', 0.9602880477905273)], [[[78.0, 255.0], [141.0, 255.0], [141.0, 269.0], [78.0, 269.0]], ('CHANGE DUE', 0.9541419148445129)], [[[202.0, 255.0], [231.0, 255.0], [231.0, 269.0], [202.0, 269.0]], ('0.87', 0.997637927532196)], [[[59.0, 270.0], [236.0, 270.0], [236.0, 283.0], [59.0, 283.0]], ('-10674 Cl0sed APR01 12:01PM--', 0.8493037223815918)], [[[47.0, 284.0], [242.0, 284.0], [242.0, 297.0], [47.0, 297.0]], ('******************************', 0.9196559190750122)], [[[48.0, 298.0], [237.0, 299.0], [237.0, 313.0], [48.0, 312.0]], ('Tell us how we did and enter to', 0.9064288139343262)], [[[48.0, 315.0], [243.0, 315.0], [243.0, 328.0], [48.0, 328.0]], ('wn 2 round trip airline tickets', 0.9555519223213196)], [[[62.0, 342.0], [226.0, 344.0], [226.0, 361.0], [61.0, 360.0]], ('Complete a brief survey at', 0.9380298256874084)], [[[76.0, 362.0], [214.0, 362.0], [214.0, 375.0], [76.0, 375.0]], ('ww.areasask.com/31103', 0.956004798412323)], [[[93.0, 391.0], [202.0, 391.0], [202.0, 408.0], [93.0, 408.0]], ('Enter code below:', 0.9426643252372742)], [[[72.0, 406.0], [222.0, 407.0], [222.0, 424.0], [72.0, 423.0]], ('08240-10674-12010-41182', 0.9627683162689209)], [[[41.0, 421.0], [248.0, 424.0], [248.0, 441.0], [41.0, 438.0]], ('******************************', 0.9164652228355408)]]	{"store_name": "NATURALBREAK", "store_addr": "LOSANGELESINT'LAIRPORT", "telephone": "", "date": "01APR'17", "time": "12:01PM 12:01PM", "subtotal": "", "tax": "1.66", "total": "20.13", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "CHIPSJALAPENON", "item_value": "3.99", "item_quantity": "1"}, {"item_key": "", "item_name": "6GRNTKYCALI", "item_value": "11.49", "item_quantity": "1"}, {"item_key": "", "item_name": "LGCOFFEE", "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	[[[[81.0, 29.0], [149.0, 25.0], [150.0, 39.0], [81.0, 42.0]], ('6&4248', 0.8002150058746338)], [[[80.0, 39.0], [153.0, 36.0], [154.0, 50.0], [80.0, 53.0]], ('GAYLORD OPSYLANO', 0.8682001829147339)], [[[60.0, 51.0], [170.0, 47.0], [170.0, 59.0], [61.0, 64.0]], ('HOTEL &CONVENTION CENTER', 0.911766529083252)], [[[68.0, 61.0], [167.0, 57.0], [167.0, 70.0], [69.0, 73.0]], (' BRAVO GELATO ', 0.8317447304725647)], [[[31.0, 72.0], [87.0, 72.0], [87.0, 83.0], [31.0, 83.0]], ('38507LED', 0.9731431007385254)], [[[83.0, 90.0], [154.0, 88.0], [154.0, 101.0], [83.0, 104.0]], ('CHK8528', 0.993162214756012)], [[[81.0, 102.0], [159.0, 100.0], [159.0, 110.0], [81.0, 112.0]], ('20JUN1710:10 AM', 0.9097121357917786)], [[[36.0, 122.0], [106.0, 120.0], [107.0, 134.0], [36.0, 136.0]], ('1.APPLE FRITTER', 0.902069628238678)], [[[173.0, 118.0], [195.0, 118.0], [195.0, 130.0], [173.0, 130.0]], ('3.49', 0.9889227151870728)], [[[38.0, 134.0], [106.0, 131.0], [107.0, 143.0], [38.0, 147.0]], ('1REFILL COFFEE', 0.9422540664672852)], [[[174.0, 129.0], [195.0, 129.0], [195.0, 141.0], [174.0, 141.0]], ('0.75', 0.9957427382469177)], [[[48.0, 155.0], [89.0, 155.0], [89.0, 166.0], [48.0, 166.0]], ('Subtotal:', 0.9788244962692261)], [[[169.0, 149.0], [195.0, 146.0], [197.0, 161.0], [171.0, 163.0]], ('$4.24', 0.9524491429328918)], [[[48.0, 166.0], [70.0, 166.0], [70.0, 178.0], [48.0, 178.0]], ('Tax:', 0.9761435389518738)], [[[171.0, 160.0], [198.0, 160.0], [198.0, 173.0], [171.0, 173.0]], ('$0.40', 0.9900211095809937)], [[[34.0, 177.0], [89.0, 174.0], [90.0, 187.0], [35.0, 191.0]], ('Total:', 0.9771226048469543)], [[[162.0, 171.0], [210.0, 169.0], [211.0, 182.0], [163.0, 185.0]], ('$4.64', 0.9852005243301392)], [[[34.0, 188.0], [126.0, 182.0], [127.0, 196.0], [35.0, 201.0]], ('Change Due', 0.9623579978942871)], [[[163.0, 182.0], [211.0, 179.0], [212.0, 193.0], [164.0, 196.0]], ('$0.00', 0.9919224977493286)], [[[174.0, 193.0], [201.0, 193.0], [201.0, 206.0], [174.0, 206.0]], ('$4.64', 0.9825450778007507)], [[[91.0, 217.0], [159.0, 215.0], [159.0, 225.0], [91.0, 228.0]], ('Check Clcsed', 0.9116999506950378)], [[[83.0, 227.0], [166.0, 223.0], [166.0, 237.0], [83.0, 240.0]], ('20JUN1710:11AM', 0.8339074850082397)]]	{"store_name": "GAYLORDOPRYLAND", "store_addr": "HOTEL&CONVENTIONCENTER", "telephone": "", "date": "20JUN'17", "time": "10:11AM", "subtotal": "$4.24", "tax": "$0.40", "total": "$4.64", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "REFILLCOFFEE", "item_value": "0.75", "item_quantity": "1"}, {"item_key": "", "item_name": "APPLEFRITTER", "item_value": "3.49", "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	[[[[439.0, 6.0], [633.0, 13.0], [632.0, 43.0], [438.0, 36.0]], ('Table 36', 0.8695095181465149)], [[[741.0, 0.0], [908.0, 7.0], [906.0, 37.0], [739.0, 27.0]], ('Check16937', 0.9924038648605347)], [[[439.0, 29.0], [531.0, 35.0], [529.0, 58.0], [438.0, 53.0]], ('Susan F', 0.8825441002845764)], [[[437.0, 46.0], [668.0, 58.0], [667.0, 86.0], [436.0, 74.0]], ('14:09:4703/23/2013', 0.9612140655517578)], [[[843.0, 65.0], [913.0, 74.0], [909.0, 106.0], [839.0, 97.0]], ('Gst4', 0.8807100653648376)], [[[610.0, 119.0], [738.0, 129.0], [736.0, 159.0], [608.0, 149.0]], ('Guest No.1', 0.9061857461929321)], [[[458.0, 132.0], [706.0, 150.0], [703.0, 180.0], [455.0, 161.0]], ('1 Raspberry Lemonade', 0.9564693570137024)], [[[457.0, 155.0], [657.0, 167.0], [656.0, 197.0], [455.0, 185.0]], ('1 D1sC COMP ITEM', 0.8497177958488464)], [[[853.0, 155.0], [913.0, 161.0], [910.0, 193.0], [850.0, 187.0]], ('230', 0.7151103019714355)], [[[455.0, 181.0], [664.0, 193.0], [662.0, 220.0], [453.0, 209.0]], ('1 Seafood Al fredo', 0.9256256818771362)], [[[846.0, 178.0], [913.0, 184.0], [910.0, 216.0], [843.0, 210.0]], ('-2.80', 0.949384331703186)], [[[844.0, 202.0], [913.0, 208.0], [910.0, 240.0], [841.0, 234.0]], ('16.25', 0.9848437309265137)], [[[503.0, 228.0], [762.0, 244.0], [760.0, 274.0], [501.0, 258.0]], ('Sub Shrimp w/Scallops', 0.8912946581840515)], [[[839.0, 225.0], [913.0, 231.0], [910.0, 261.0], [837.0, 255.0]], ('-16.25', 0.9693862795829773)], [[[455.0, 249.0], [681.0, 261.0], [680.0, 291.0], [453.0, 279.0]], ('1 Sub Caesar Salad', 0.9189133048057556)], [[[26.0, 260.0], [257.0, 260.0], [257.0, 346.0], [26.0, 346.0]], ('Jiwe', 0.6206589937210083)], [[[501.0, 275.0], [679.0, 284.0], [677.0, 314.0], [499.0, 305.0]], ('D1SC COMP ITEM', 0.8619750738143921)], [[[857.0, 277.0], [910.0, 277.0], [910.0, 303.0], [857.0, 303.0]], ('2.95', 0.9962790608406067)], [[[851.0, 294.0], [913.0, 300.0], [910.0, 332.0], [848.0, 325.0]], ('-2.95', 0.9287136793136597)], [[[610.0, 326.0], [738.0, 336.0], [736.0, 366.0], [608.0, 356.0]], ('Guest No.2', 0.9075284004211426)], [[[453.0, 343.0], [612.0, 353.0], [610.0, 380.0], [451.0, 371.0]], ('1 Soft Drink', 0.9269347190856934)], [[[56.0, 363.0], [366.0, 358.0], [367.0, 426.0], [58.0, 431.0]], ('Sarde,', 0.7793704867362976)], [[[453.0, 366.0], [655.0, 378.0], [653.0, 408.0], [451.0, 396.0]], ('1Disc COMP ITEM', 0.8765914440155029)], [[[857.0, 371.0], [910.0, 371.0], [910.0, 397.0], [857.0, 397.0]], ('2.55', 0.9962541460990906)], [[[453.0, 390.0], [692.0, 404.0], [690.0, 434.0], [451.0, 420.0]], ('1 Malbec 1oz Sample', 0.8970596790313721)], [[[855.0, 395.0], [910.0, 395.0], [910.0, 420.0], [855.0, 420.0]], ('2.55', 0.8788299560546875)], [[[453.0, 413.0], [657.0, 425.0], [656.0, 455.0], [451.0, 443.0]], ('1 L Caesar Salad', 0.9344511032104492)], [[[120.0, 444.0], [397.0, 446.0], [397.0, 476.0], [120.0, 474.0]], ('ITALIAN RESTAURANT', 0.9651234745979309)], [[[453.0, 439.0], [655.0, 448.0], [654.0, 478.0], [451.0, 469.0]], ('1 D1sC COMP ITEM', 0.852821409702301)], [[[860.0, 437.0], [913.0, 442.0], [910.0, 472.0], [856.0, 466.0]], ('7.75', 0.9877545237541199)], [[[453.0, 462.0], [583.0, 472.0], [581.0, 500.0], [451.0, 490.0]], ('1 Add Soup', 0.9299615621566772)], [[[849.0, 458.0], [913.0, 464.0], [910.0, 496.0], [846.0, 490.0]], ('-7.75', 0.9523919820785522)], [[[496.0, 490.0], [679.0, 497.0], [678.0, 527.0], [495.0, 520.0]], ('Disc COMP ITEM', 0.9003664255142212)], [[[853.0, 486.0], [912.0, 486.0], [912.0, 518.0], [853.0, 518.0]], ('3.65', 0.9892426133155823)], [[[448.0, 511.0], [712.0, 525.0], [710.0, 553.0], [447.0, 539.0]], ('1 Chicken & Gnocch1', 0.8753610849380493)], [[[849.0, 507.0], [913.0, 513.0], [910.0, 545.0], [846.0, 539.0]], ('-3.65', 0.9206249117851257)], [[[610.0, 565.0], [738.0, 575.0], [736.0, 604.0], [608.0, 594.0]], ('Guest No.3', 0.9484285116195679)], [[[447.0, 581.0], [549.0, 592.0], [545.0, 622.0], [444.0, 611.0]], ('1 Water', 0.9319313764572144)], [[[446.0, 607.0], [633.0, 617.0], [632.0, 647.0], [445.0, 637.0]], ('1Soup & Salad', 0.9146103262901306)], [[[446.0, 631.0], [653.0, 643.0], [651.0, 673.0], [444.0, 661.0]], ('1DiSC COMP ITEM', 0.8724939823150635)], [[[855.0, 629.0], [914.0, 629.0], [914.0, 661.0], [855.0, 661.0]], ('6.95', 0.984481692314148)], [[[448.0, 659.0], [603.0, 666.0], [601.0, 694.0], [447.0, 687.0]], ('1 Minestrone', 0.9509162306785583)], [[[849.0, 655.0], [914.0, 655.0], [914.0, 685.0], [849.0, 685.0]], ('-6.95', 0.9563770294189453)], [[[606.0, 712.0], [736.0, 719.0], [734.0, 749.0], [604.0, 742.0]], ('Guest No.4', 0.9409812688827515)], [[[446.0, 729.0], [727.0, 743.0], [726.0, 773.0], [445.0, 759.0]], ('1 Kids Chicken Fingers', 0.9350267052650452)], [[[856.0, 746.0], [915.0, 752.0], [912.0, 786.0], [852.0, 780.0]], ('5.75', 0.9892569780349731)], [[[446.0, 757.0], [653.0, 764.0], [652.0, 794.0], [445.0, 787.0]], ('1 DisC COMP ITEM', 0.8647522926330566)], [[[852.0, 769.0], [916.0, 778.0], [911.0, 810.0], [847.0, 801.0]], ('-5.75', 0.8933147192001343)], [[[494.0, 782.0], [579.0, 788.0], [577.0, 818.0], [492.0, 812.0]], ('Grapes', 0.9965507388114929)], [[[444.0, 806.0], [570.0, 813.0], [568.0, 841.0], [442.0, 834.0]], ('1x Salad', 0.902925968170166)], [[[415.0, 879.0], [910.0, 892.0], [909.0, 928.0], [414.0, 915.0]], ('ID#2244388483831', 0.9866102337837219)], [[[452.0, 962.0], [818.0, 971.0], [818.0, 999.0], [451.0, 990.0]], ('We value your opinion. Please', 0.9148468375205994)], [[[454.0, 988.0], [773.0, 994.0], [772.0, 1024.0], [454.0, 1017.0]], ('tell us about your dining', 0.8863949775695801)], [[[452.0, 1013.0], [797.0, 1020.0], [796.0, 1050.0], [451.0, 1043.0]], ('experience by completing an', 0.9461904168128967)], [[[450.0, 1039.0], [831.0, 1045.0], [831.0, 1075.0], [449.0, 1069.0]], ('onl ine survey wi thin 7 days of', 0.9108171463012695)], [[[448.0, 1064.0], [794.0, 1071.0], [794.0, 1101.0], [447.0, 1094.0]], ('your visit.You could win a', 0.9198246002197266)], [[[450.0, 1090.0], [831.0, 1095.0], [831.0, 1124.0], [449.0, 1120.0]], ('$1.000 Grand Prize or 1 of 100', 0.9006149172782898)], [[[450.0, 1116.0], [818.0, 1122.0], [818.0, 1152.0], [449.0, 1145.0]], ('$50 pr1zes.Winners are drawn', 0.9250063896179199)], [[[452.0, 1148.0], [572.0, 1148.0], [572.0, 1171.0], [452.0, 1171.0]], ('monthlyll', 0.8568204641342163)], [[[447.0, 1195.0], [853.0, 1199.0], [853.0, 1229.0], [447.0, 1224.0]], ('To compiete the survey and enter', 0.9202430844306946)], [[[448.0, 1222.0], [687.0, 1227.0], [687.0, 1255.0], [447.0, 1250.0]], ('the contest,go to', 0.9276477098464966)], [[[447.0, 1248.0], [820.0, 1250.0], [820.0, 1280.0], [447.0, 1278.0]], ('www.O1 iveGardenSurvey.com and', 0.902385413646698)], [[[449.0, 1278.0], [823.0, 1278.0], [823.0, 1306.0], [449.0, 1306.0]], ('enter the ID on this receipt.', 0.9088945984840393)], [[[445.0, 1301.0], [871.0, 1304.0], [870.0, 1333.0], [445.0, 1331.0]], ('NO PURCHASE NECESSARY.Void where', 0.9180833101272583)], [[[445.0, 1329.0], [871.0, 1331.0], [870.0, 1359.0], [445.0, 1357.0]], ('prohibi ted. See Official Rules at', 0.8834068179130554)], [[[447.0, 1357.0], [781.0, 1357.0], [781.0, 1385.0], [447.0, 1385.0]], ('www.01iveGardenSurvey.com.', 0.9539416432380676)], [[[443.0, 1410.0], [873.0, 1410.0], [873.0, 1438.0], [443.0, 1438.0]], ('Valoramos su opinion. Complete la', 0.9085367321968079)], [[[443.0, 1438.0], [820.0, 1438.0], [820.0, 1466.0], [443.0, 1466.0]], ('encuesta sobre su experiencia', 0.9434280395507812)], [[[441.0, 1466.0], [659.0, 1466.0], [659.0, 1493.0], [441.0, 1493.0]], ('gastronomica en', 0.9542521238327026)], [[[439.0, 1493.0], [777.0, 1493.0], [777.0, 1521.0], [439.0, 1521.0]], ('www.011veGardenSurvey.com.', 0.9192529916763306)], [[[406.0, 1545.0], [766.0, 1542.0], [766.0, 1572.0], [406.0, 1574.0]], ('OFFER EXPIRES Mar 302013', 0.9390013813972473)], [[[428.0, 1658.0], [676.0, 1658.0], [676.0, 1685.0], [428.0, 1685.0]], ('Duplicate', 0.980231523513794)], [[[683.0, 1655.0], [866.0, 1655.0], [866.0, 1683.0], [683.0, 1683.0]], ('Receipt', 0.9918146133422852)], [[[502.0, 1681.0], [668.0, 1683.0], [667.0, 1713.0], [502.0, 1711.0]], ('Stored', 0.9979047775268555)], [[[685.0, 1685.0], [816.0, 1685.0], [816.0, 1709.0], [685.0, 1709.0]], ('Order', 0.9952629208564758)], [[[711.0, 1739.0], [818.0, 1739.0], [818.0, 1769.0], [711.0, 1769.0]], ('Subtotal', 0.9898775219917297)], [[[862.0, 1734.0], [923.0, 1734.0], [923.0, 1766.0], [862.0, 1766.0]], ('0.00', 0.9937216639518738)], [[[397.0, 1852.0], [648.0, 1852.0], [648.0, 1882.0], [397.0, 1882.0]], ('14:09:47 03/23/2013', 0.9547978639602661)], [[[631.0, 1879.0], [921.0, 1879.0], [921.0, 1909.0], [631.0, 1909.0]], ('Please pay this amount', 0.9564419388771057)], [[[631.0, 1905.0], [760.0, 1910.0], [758.0, 1940.0], [630.0, 1935.0]], ('Total', 0.9981065988540649)], [[[809.0, 1905.0], [920.0, 1900.0], [921.0, 1932.0], [811.0, 1938.0]], ('0.00', 0.9877327680587769)], [[[605.0, 1988.0], [764.0, 1993.0], [763.0, 2029.0], [604.0, 2024.0]], ('Change', 0.9984301924705505)], [[[812.0, 1990.0], [921.0, 1990.0], [921.0, 2020.0], [812.0, 2020.0]], ('0.00', 0.9896908402442932)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "03/23/2013 03/23/2013", "time": "14:09:47", "subtotal": "0.00", "tax": "", "total": "0.00", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "Salad", "item_value": "5.75", "item_quantity": "1"}, {"item_key": "", "item_name": "Grapes", "item_value": "6.95", "item_quantity": "1"}, {"item_key": "", "item_name": "KidsChickenFingers", "item_value": "3.65", "item_quantity": "1"}, {"item_key": "", "item_name": "Minestrone", "item_value": "7.75", "item_quantity": "1"}, {"item_key": "", "item_name": "Soup&Salad", "item_value": "2.55", "item_quantity": "1"}, {"item_key": "", "item_name": "Water", "item_value": "2.95", "item_quantity": "1"}, {"item_key": "", "item_name": "Chicken&Gnocchi", "item_value": "16.25", "item_quantity": "1"}, {"item_key": "", "item_name": "AddSoup", "item_value": "2.80", "item_quantity": "1"}, {"item_key": "", "item_name": "LCaesarSalad", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "Malbec1ozSample", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "SoftDrink", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "SubCaesarSalad", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "SubShrimpw/Scallops", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "SeafoodAlfredo", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "RaspberryLemonade", "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, 80.0], [221.0, 80.0], [221.0, 94.0], [74.0, 94.0]], ('LATITUDE31', 0.991327166557312)], [[[76.0, 94.0], [205.0, 93.0], [205.0, 107.0], [76.0, 109.0]], ('186.RUE EL GZA ARSET LHIRI', 0.8292291164398193)], [[[86.0, 107.0], [201.0, 107.0], [201.0, 121.0], [86.0, 121.0]], ('BAB DOUKKALA-MARRAKECH', 0.8856014013290405)], [[[81.0, 118.0], [205.0, 120.0], [205.0, 134.0], [81.0, 133.0]], ('TEL21205243849 34', 0.9451040625572205)], [[[81.0, 132.0], [203.0, 132.0], [203.0, 145.0], [81.0, 145.0]], ('MOB+21206 61179417', 0.8916270732879639)], [[[47.0, 152.0], [121.0, 152.0], [121.0, 169.0], [47.0, 169.0]], ('TABLE17', 0.9862863421440125)], [[[59.0, 166.0], [144.0, 167.0], [144.0, 181.0], [58.0, 180.0]], ('2COUNERT CAISSE', 0.8591926097869873)], [[[65.0, 186.0], [176.0, 188.0], [175.0, 201.0], [64.0, 199.0]], ('1 PASTILLA FRUTS DE MER', 0.8679394721984863)], [[[65.0, 198.0], [122.0, 200.0], [122.0, 214.0], [64.0, 212.0]], ('1SIALI', 0.7348337173461914)], [[[214.0, 189.0], [239.0, 189.0], [239.0, 201.0], [214.0, 201.0]], ('95.00', 0.992301344871521)], [[[212.0, 200.0], [240.0, 200.0], [240.0, 215.0], [212.0, 215.0]], ('25.00', 0.8245347142219543)], [[[65.0, 210.0], [140.0, 211.0], [140.0, 225.0], [64.0, 224.0]], ('1CRFE RMERICAIN', 0.8293265104293823)], [[[212.0, 211.0], [241.0, 213.0], [239.0, 227.0], [211.0, 225.0]], ('25.00', 0.9573793411254883)], [[[64.0, 221.0], [129.0, 223.0], [129.0, 237.0], [63.0, 235.0]], ('1 LUNGO FORTE', 0.8267984986305237)], [[[211.0, 223.0], [240.0, 225.0], [238.0, 239.0], [210.0, 237.0]], ('25.00', 0.9894510507583618)], [[[65.0, 233.0], [166.0, 234.0], [166.0, 249.0], [64.0, 248.0]], ('1TAJINE FRUITS DE MER', 0.8503170013427734)], [[[208.0, 235.0], [240.0, 237.0], [238.0, 251.0], [207.0, 249.0]], ('130.00', 0.9792081713676453)], [[[65.0, 245.0], [157.0, 248.0], [156.0, 261.0], [64.0, 258.0]], ('1.FILET DE LOUP ROTI', 0.8449975848197937)], [[[208.0, 246.0], [240.0, 248.0], [238.0, 264.0], [207.0, 261.0]], ('150.00', 0.9872310161590576)], [[[49.0, 277.0], [108.0, 280.0], [108.0, 295.0], [48.0, 291.0]], ('ONT TUR10', 0.6878198385238647)], [[[133.0, 271.0], [148.0, 271.0], [148.0, 283.0], [133.0, 283.0]], ('HT', 0.9891437292098999)], [[[175.0, 271.0], [192.0, 271.0], [192.0, 284.0], [175.0, 284.0]], ('TUA', 0.915290355682373)], [[[115.0, 281.0], [148.0, 285.0], [147.0, 296.0], [114.0, 292.0]], ('499.09', 0.8848044872283936)], [[[219.0, 272.0], [238.0, 272.0], [238.0, 285.0], [219.0, 285.0]], ('TIC', 0.8578429222106934)], [[[167.0, 284.0], [192.0, 284.0], [192.0, 296.0], [167.0, 296.0]], ('40.91', 0.9819074869155884)], [[[205.0, 282.0], [239.0, 285.0], [238.0, 299.0], [204.0, 296.0]], ('450.00', 0.9876182079315186)], [[[52.0, 308.0], [112.0, 312.0], [112.0, 327.0], [51.0, 323.0]], ('TOTAL', 0.9975182414054871)], [[[165.0, 313.0], [244.0, 317.0], [244.0, 332.0], [165.0, 328.0]], ('450.00', 0.9974851608276367)], [[[50.0, 326.0], [176.0, 334.0], [175.0, 348.0], [49.0, 340.0]], ('ENRE0106-03-2015132524', 0.8961751461029053)], [[[48.0, 337.0], [226.0, 346.0], [226.0, 363.0], [47.0, 354.0]], ('1Sr1-CRISSE1-NOTE 010004/1', 0.7962122559547424)], [[[70.0, 367.0], [211.0, 376.0], [210.0, 393.0], [69.0, 384.0]], ('MERCI DE UOTRE UISITE', 0.9038258790969849)]]	{"store_name": "LATITUDE31", "store_addr": "186.RUEELGZAARSETLHIRI BABDOUKKALA-MARRAKECH", "telephone": "+212<0>524384934 +212(0)661179417", "date": "06-03-2015", "time": "13:25:24", "subtotal": "409.09", "tax": "40.91", "total": "450.00 450.00", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "PRSTILL#FRUITSDEMER", "item_value": "95.00", "item_quantity": "1"}, {"item_key": "", "item_name": "CAFERMERICAIN", "item_value": "25.00", "item_quantity": "1"}, {"item_key": "", "item_name": "LUNGOFORTE", "item_value": "25.00", "item_quantity": "1"}, {"item_key": "", "item_name": "TAJINEFRUITSDEMER", "item_value": "25.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "130.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "150.00", "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	[[[[88.0, 69.0], [225.0, 37.0], [232.0, 69.0], [95.0, 101.0]], ('Picasso', 0.9039555191993713)], [[[88.0, 122.0], [229.0, 122.0], [229.0, 135.0], [88.0, 135.0]], ('MALLORCA422 08013 BARCELONA', 0.9339271783828735)], [[[108.0, 141.0], [198.0, 142.0], [198.0, 156.0], [107.0, 155.0]], ('NIF37.722.103-X', 0.9469518065452576)], [[[109.0, 133.0], [198.0, 133.0], [198.0, 146.0], [109.0, 146.0]], ('TELF.93 246 53 49', 0.8877224922180176)], [[[57.0, 163.0], [80.0, 163.0], [80.0, 174.0], [57.0, 174.0]], ('MESA', 0.976794958114624)], [[[114.0, 163.0], [131.0, 163.0], [131.0, 174.0], [114.0, 174.0]], ('21', 0.994403600692749)], [[[145.0, 162.0], [223.0, 162.0], [223.0, 176.0], [145.0, 176.0]], ('COMENSALES2', 0.9899135828018188)], [[[56.0, 172.0], [130.0, 172.0], [130.0, 186.0], [56.0, 186.0]], ('FACTURA506947', 0.9878625273704529)], [[[54.0, 184.0], [107.0, 184.0], [107.0, 198.0], [54.0, 198.0]], ('28/07/2016', 0.9967764019966125)], [[[53.0, 207.0], [88.0, 207.0], [88.0, 218.0], [53.0, 218.0]], ('Cant.', 0.9822823405265808)], [[[83.0, 204.0], [143.0, 206.0], [143.0, 220.0], [82.0, 218.0]], ('Descripcion', 0.9583141207695007)], [[[193.0, 202.0], [218.0, 205.0], [217.0, 220.0], [192.0, 217.0]], ('P.U.', 0.9857525825500488)], [[[234.0, 203.0], [264.0, 205.0], [262.0, 220.0], [233.0, 218.0]], ('Total', 0.9888965487480164)], [[[62.0, 228.0], [153.0, 228.0], [153.0, 241.0], [62.0, 241.0]], ('2 CAFE CON LECHE', 0.9369633793830872)], [[[195.0, 229.0], [220.0, 229.0], [220.0, 241.0], [195.0, 241.0]], ('4.10', 0.9926373958587646)], [[[241.0, 229.0], [265.0, 229.0], [265.0, 241.0], [241.0, 241.0]], ('8.20', 0.9954577684402466)], [[[46.0, 250.0], [76.0, 250.0], [76.0, 274.0], [46.0, 274.0]], ('TOTAL', 0.9776068925857544)], [[[240.0, 251.0], [269.0, 251.0], [269.0, 276.0], [240.0, 276.0]], ('8.20', 0.9881606101989746)], [[[42.0, 310.0], [120.0, 310.0], [120.0, 324.0], [42.0, 324.0]], ('BASE IMPONIBLE', 0.9637088775634766)], [[[144.0, 308.0], [173.0, 311.0], [172.0, 326.0], [143.0, 323.0]], ('7.45', 0.8755483627319336)], [[[181.0, 311.0], [226.0, 311.0], [226.0, 325.0], [181.0, 325.0]], ('IVA10%', 0.982840359210968)], [[[248.0, 311.0], [276.0, 311.0], [276.0, 326.0], [248.0, 326.0]], ('0.75', 0.9879575967788696)], [[[80.0, 344.0], [93.0, 344.0], [93.0, 351.0], [80.0, 351.0]], ('..', 0.7535082101821899)], [[[93.0, 336.0], [239.0, 339.0], [239.0, 356.0], [93.0, 353.0]], ('GRACIAS POR SU VISITA ', 0.9235257506370544)], [[[36.0, 368.0], [145.0, 368.0], [145.0, 382.0], [36.0, 382.0]], ('MEDIODIA NOE/INGRID', 0.9747088551521301)], [[[164.0, 368.0], [191.0, 368.0], [191.0, 384.0], [164.0, 384.0]], ('CAJA', 0.9980493783950806)], [[[227.0, 369.0], [238.0, 369.0], [238.0, 384.0], [227.0, 384.0]], ('2', 0.9933695793151855)]]	{"store_name": "", "store_addr": "MALLORCA,42208013BARCELONA", "telephone": "TELF.:932465349", "date": "28/07/2016", "time": "", "subtotal": "", "tax": "0.75", "total": "8.20", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "CAFECONLECHE", "item_value": "8.20", "item_quantity": "1"}, {"item_key": "Descripcion", "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	[[[[140.0, 117.0], [237.0, 117.0], [237.0, 131.0], [140.0, 131.0]], ('County Market', 0.9336522817611694)], [[[127.0, 131.0], [247.0, 131.0], [247.0, 152.0], [127.0, 152.0]], ('MENOMINEE', 0.9828488826751709)], [[[134.0, 161.0], [194.0, 163.0], [194.0, 178.0], [133.0, 176.0]], ('Store:211', 0.9210444688796997)], [[[38.0, 188.0], [163.0, 188.0], [163.0, 202.0], [38.0, 202.0]], ('Cashier115BARB K', 0.8988832831382751)], [[[38.0, 215.0], [91.0, 215.0], [91.0, 226.0], [38.0, 226.0]], ('02/08/11', 0.9920695424079895)], [[[37.0, 239.0], [127.0, 239.0], [127.0, 252.0], [37.0, 252.0]], ('GROCERY', 0.9951586127281189)], [[[74.0, 252.0], [136.0, 252.0], [136.0, 266.0], [74.0, 266.0]], ('506.79', 0.9831264615058899)], [[[43.0, 265.0], [174.0, 265.0], [174.0, 278.0], [43.0, 278.0]], ('OIET MT DEW24PACK', 0.863709032535553)], [[[256.0, 265.0], [311.0, 265.0], [311.0, 279.0], [256.0, 279.0]], ('33.95F', 0.9800524115562439)], [[[50.0, 278.0], [173.0, 278.0], [173.0, 291.0], [50.0, 291.0]], ('IN-STORE SAVINGS OF', 0.9409900307655334)], [[[223.0, 278.0], [254.0, 278.0], [254.0, 293.0], [223.0, 293.0]], ('8.00', 0.9896969795227051)], [[[72.0, 291.0], [156.0, 291.0], [156.0, 304.0], [72.0, 304.0]], ('501/240', 0.9761914610862732)], [[[257.0, 304.0], [292.0, 304.0], [292.0, 319.0], [257.0, 319.0]], ('12.0', 0.9234937429428101)], [[[37.0, 316.0], [89.0, 318.0], [88.0, 329.0], [37.0, 327.0]], ('MEAT', 0.9916266798973083)], [[[41.0, 328.0], [174.0, 329.0], [174.0, 343.0], [41.0, 342.0]], ('COLD WATER LOBSIER T', 0.8804367780685425)], [[[262.0, 330.0], [293.0, 330.0], [293.0, 344.0], [262.0, 344.0]], ('8.99', 0.9906816482543945)], [[[42.0, 341.0], [175.0, 342.0], [175.0, 356.0], [42.0, 355.0]], ('COLD WAIER LOBSER I', 0.8560987710952759)], [[[261.0, 341.0], [294.0, 343.0], [292.0, 358.0], [260.0, 356.0]], ('8.9', 0.9908960461616516)], [[[300.0, 332.0], [309.0, 332.0], [309.0, 342.0], [300.0, 342.0]], ('F', 0.9870540499687195)], [[[300.0, 345.0], [309.0, 345.0], [309.0, 355.0], [300.0, 355.0]], ('F', 0.9806576371192932)], [[[43.0, 355.0], [174.0, 355.0], [174.0, 368.0], [43.0, 368.0]], ('COLD WATER LOBSIER I', 0.8901091814041138)], [[[261.0, 355.0], [292.0, 355.0], [292.0, 369.0], [261.0, 369.0]], ('8.99', 0.9310489892959595)], [[[300.0, 358.0], [309.0, 358.0], [309.0, 368.0], [300.0, 368.0]], ('F', 0.9718908667564392)], [[[43.0, 368.0], [174.0, 368.0], [174.0, 381.0], [43.0, 381.0]], ('COLD WATER LOBSIER I', 0.9120548963546753)], [[[256.0, 368.0], [291.0, 368.0], [291.0, 382.0], [256.0, 382.0]], ('17.98', 0.9864953756332397)], [[[300.0, 370.0], [309.0, 370.0], [309.0, 380.0], [300.0, 380.0]], ('F', 0.9810212850570679)], [[[43.0, 381.0], [173.0, 381.0], [173.0, 394.0], [43.0, 394.0]], ('COLD WATER LOBSIER 1', 0.8720464706420898)], [[[256.0, 381.0], [291.0, 381.0], [291.0, 395.0], [256.0, 395.0]], ('17.98', 0.987043559551239)], [[[41.0, 392.0], [173.0, 393.0], [173.0, 407.0], [41.0, 406.0]], ('COL.O WATER LOBSTER T', 0.8608090281486511)], [[[299.0, 383.0], [309.0, 383.0], [309.0, 393.0], [299.0, 393.0]], ('F', 0.970690131187439)], [[[260.0, 394.0], [291.0, 394.0], [291.0, 408.0], [260.0, 408.0]], ('8.99', 0.8303069472312927)], [[[41.0, 405.0], [155.0, 406.0], [155.0, 420.0], [41.0, 419.0]], ('PORTERHOUSE STEAK', 0.9334648847579956)], [[[300.0, 396.0], [309.0, 396.0], [309.0, 406.0], [300.0, 406.0]], ('F', 0.5976061224937439)], [[[256.0, 407.0], [292.0, 407.0], [292.0, 421.0], [256.0, 421.0]], ('11.64', 0.9875124096870422)], [[[303.0, 405.0], [312.0, 412.0], [304.0, 424.0], [294.0, 417.0]], ('F', 0.913398802280426)], [[[42.0, 420.0], [156.0, 420.0], [156.0, 433.0], [42.0, 433.0]], ('PORTERHOUSE STEAK', 0.9188420176506042)], [[[256.0, 420.0], [291.0, 420.0], [291.0, 434.0], [256.0, 434.0]], ('12.27', 0.9895720481872559)], [[[295.0, 421.0], [310.0, 421.0], [310.0, 433.0], [295.0, 433.0]], ('F', 0.9743996858596802)], [[[120.0, 433.0], [171.0, 433.0], [171.0, 444.0], [120.0, 444.0]], ('SUBTOTAL', 0.9680943489074707)], [[[248.0, 433.0], [290.0, 433.0], [290.0, 447.0], [248.0, 447.0]], ('141.78', 0.9889702796936035)], [[[119.0, 445.0], [180.0, 445.0], [180.0, 459.0], [119.0, 459.0]], ('TOTAL TAX', 0.8901665210723877)], [[[270.0, 446.0], [291.0, 446.0], [291.0, 460.0], [270.0, 460.0]], ('.00', 0.9847617745399475)], [[[120.0, 470.0], [152.0, 472.0], [152.0, 483.0], [119.0, 481.0]], ('TOFAL', 0.6478129625320435)], [[[249.0, 471.0], [290.0, 471.0], [290.0, 485.0], [249.0, 485.0]], ('141.78', 0.9945962429046631)], [[[35.0, 481.0], [207.0, 480.0], [207.0, 497.0], [35.0, 498.0]], ('DEBI FOOU SIAMPS TENDER', 0.8424896597862244)], [[[248.0, 484.0], [290.0, 484.0], [290.0, 498.0], [248.0, 498.0]], ('141.78', 0.9939195513725281)], [[[43.0, 497.0], [180.0, 497.0], [180.0, 510.0], [43.0, 510.0]], ('AcCtxx', 0.6363228559494019)], [[[43.0, 509.0], [168.0, 509.0], [168.0, 522.0], [43.0, 522.0]], ('APPRVL.CODE0545', 0.8837648630142212)], [[[47.0, 520.0], [80.0, 522.0], [79.0, 537.0], [45.0, 535.0]], ('CASH', 0.8779141902923584)], [[[156.0, 522.0], [199.0, 522.0], [199.0, 536.0], [156.0, 536.0]], ('CHANGE', 0.9971038699150085)], [[[267.0, 521.0], [291.0, 521.0], [291.0, 537.0], [267.0, 537.0]], ('.00', 0.9592582583427429)], [[[118.0, 548.0], [218.0, 548.0], [218.0, 561.0], [118.0, 561.0]], ('NUMBER OF HEMS', 0.8818693161010742)], [[[272.0, 548.0], [289.0, 548.0], [289.0, 562.0], [272.0, 562.0]], ('18', 0.9934980869293213)], [[[41.0, 573.0], [148.0, 575.0], [148.0, 589.0], [41.0, 587.0]], ('In-Store Savings', 0.8777484893798828)], [[[258.0, 574.0], [290.0, 574.0], [290.0, 589.0], [258.0, 589.0]], ('8.00', 0.959050178527832)], [[[42.0, 600.0], [172.0, 600.0], [172.0, 613.0], [42.0, 613.0]], ('YOU SAVE A TOTAL OF', 0.9107416272163391)], [[[258.0, 600.0], [290.0, 600.0], [290.0, 615.0], [258.0, 615.0]], ('8.00', 0.9283156394958496)], [[[42.0, 613.0], [172.0, 613.0], [172.0, 626.0], [42.0, 626.0]], ('IHAI IS A SAVINGS OF', 0.8789529800415039)], [[[35.0, 651.0], [83.0, 651.0], [83.0, 665.0], [35.0, 665.0]], ('Trx:327', 0.8297477960586548)], [[[105.0, 651.0], [148.0, 651.0], [148.0, 665.0], [105.0, 665.0]], ('Term6', 0.7483428716659546)], [[[170.0, 653.0], [230.0, 653.0], [230.0, 664.0], [170.0, 664.0]], ('Stcre211', 0.9855434894561768)], [[[255.0, 653.0], [308.0, 653.0], [308.0, 664.0], [255.0, 664.0]], ('14:42:44', 0.9212052226066589)], [[[83.0, 689.0], [256.0, 690.0], [255.0, 704.0], [82.0, 703.0]], ('Life is full ot choices..', 0.9071225523948669)], [[[79.0, 702.0], [268.0, 703.0], [267.0, 717.0], [79.0, 716.0]], ('Thanks for chosing Agelis!!', 0.8958582878112793)], [[[85.0, 715.0], [268.0, 716.0], [268.0, 730.0], [84.0, 729.0]], ('1401 8th Ave-Menominee.MI', 0.9367682933807373)], [[[143.0, 729.0], [224.0, 729.0], [224.0, 742.0], [143.0, 742.0]], ('906-863-5575', 0.9795456528663635)]]	{"store_name": "", "store_addr": "14018thAve-Menominee.MI", "telephone": "906-863-5575", "date": "02/08/11", "time": "14:42:44", "subtotal": "141.78", "tax": ".00", "total": "141.78 141.78", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "PORIERHOUSESTEAK", "item_value": "33.95F", "item_quantity": "1"}, {"item_key": "", "item_name": "PORTERHOUSESTEAK", "item_value": "12.00", "item_quantity": "1"}, {"item_key": "", "item_name": "COLDWATERLOBSTERT", "item_value": "8.99F", "item_quantity": "1"}, {"item_key": "", "item_name": "COLDWATERLOBSTERT", "item_value": "8.99F", "item_quantity": "1"}, {"item_key": "", "item_name": "COLDWATERLOBSTERT", "item_value": "8.99F", "item_quantity": "1"}, {"item_key": "", "item_name": "COLDWATERLOBSTERT", "item_value": "17.98F", "item_quantity": "1"}, {"item_key": "", "item_name": "COLDWATERLOBSTERT", "item_value": "17.98F", "item_quantity": "1"}, {"item_key": "", "item_name": "COLDWATERLOBSTERT", "item_value": "8.99F", "item_quantity": "1"}, {"item_key": "", "item_name": "+2.40DEPOSIY", "item_value": "11.64F", "item_quantity": "1"}, {"item_key": "", "item_name": "*DIETMTDEW24PACK", "item_value": "12.27F", "item_quantity": "1"}, {"item_key": "MEAT", "item_name": "", "item_value": "", "item_quantity": ""}, {"item_key": "GROCERY", "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	[[[[57.0, 38.0], [215.0, 40.0], [214.0, 103.0], [56.0, 100.0]], ('Coeseaefaetery', 0.5343098044395447)], [[[87.0, 120.0], [154.0, 125.0], [154.0, 138.0], [86.0, 133.0]], ('Philadelphia', 0.9183213710784912)], [[[15.0, 157.0], [97.0, 162.0], [96.0, 176.0], [15.0, 172.0]], ('Heineken Bottle', 0.9564803838729858)], [[[15.0, 170.0], [97.0, 174.0], [96.0, 187.0], [15.0, 183.0]], ('Pineapple Jutce', 0.9428101181983948)], [[[199.0, 164.0], [223.0, 161.0], [225.0, 177.0], [201.0, 180.0]], ('6.50', 0.9905412197113037)], [[[14.0, 181.0], [93.0, 185.0], [92.0, 199.0], [14.0, 195.0]], ('Bar Ginger Ale', 0.9658893942832947)], [[[199.0, 172.0], [225.0, 172.0], [225.0, 192.0], [199.0, 192.0]], ('2.95', 0.9912493824958801)], [[[15.0, 193.0], [142.0, 196.0], [142.0, 210.0], [15.0, 207.0]], ('Asian Lettuce Wrap Tacos', 0.9346244931221008)], [[[200.0, 185.0], [224.0, 185.0], [224.0, 201.0], [200.0, 201.0]], ('3.00', 0.9952961802482605)], [[[15.0, 204.0], [102.0, 207.0], [101.0, 220.0], [15.0, 217.0]], ('Skinny Hazburger', 0.936254620552063)], [[[15.0, 217.0], [131.0, 219.0], [130.0, 230.0], [15.0, 228.0]], ('Basl Tomato Flatbread', 0.9269059300422668)], [[[14.0, 227.0], [146.0, 230.0], [146.0, 243.0], [14.0, 240.0]], ('Greek Salad.x add salmon', 0.934664249420166)], [[[12.0, 238.0], [96.0, 239.0], [96.0, 253.0], [12.0, 252.0]], ('Heineken Bottle', 0.9403050541877747)], [[[194.0, 230.0], [223.0, 230.0], [223.0, 246.0], [194.0, 246.0]], ('11.95', 0.9918990135192871)], [[[190.0, 249.0], [227.0, 249.0], [227.0, 284.0], [190.0, 284.0]], ('-7.0', 0.5497412085533142)], [[[197.0, 241.0], [223.0, 241.0], [223.0, 257.0], [197.0, 257.0]], ('6.50', 0.9868955016136169)], [[[14.0, 251.0], [130.0, 251.0], [130.0, 264.0], [14.0, 264.0]], ('Lemoncello Cream Torte', 0.941744863986969)], [[[38.0, 261.0], [121.0, 262.0], [120.0, 276.0], [37.0, 275.0]], ('Comp Food/Drink', 0.9399972558021545)], [[[13.0, 274.0], [91.0, 274.0], [91.0, 287.0], [13.0, 287.0]], ('Bar Ginger Ale', 0.9738890528678894)], [[[198.0, 274.0], [224.0, 277.0], [222.0, 293.0], [196.0, 290.0]], ('3.00', 0.9965990781784058)], [[[117.0, 292.0], [170.0, 292.0], [170.0, 306.0], [117.0, 306.0]], ('Sub Total:', 0.9190691113471985)], [[[193.0, 293.0], [222.0, 293.0], [222.0, 308.0], [193.0, 308.0]], ('60.30', 0.9921072125434875)], [[[160.0, 304.0], [181.0, 307.0], [180.0, 320.0], [158.0, 316.0]], ('Tax:', 0.978458046913147)], [[[196.0, 304.0], [223.0, 307.0], [221.0, 322.0], [194.0, 319.0]], ('5.09', 0.9924733638763428)], [[[10.0, 322.0], [139.0, 327.0], [138.0, 344.0], [10.0, 339.0]], ('08/24 20:19 TOTAL', 0.9137511253356934)], [[[115.0, 314.0], [172.0, 318.0], [171.0, 332.0], [114.0, 328.0]], ('Sub Total', 0.9507777094841003)], [[[193.0, 317.0], [223.0, 317.0], [223.0, 332.0], [193.0, 332.0]], ('65.39', 0.9826744198799133)], [[[168.0, 328.0], [224.0, 331.0], [223.0, 345.0], [168.0, 342.0]], ('65.39', 0.9951507449150085)], [[[8.0, 344.0], [125.0, 347.0], [124.0, 361.0], [8.0, 359.0]], ('Gratuity Not Included', 0.9671428203582764)], [[[8.0, 356.0], [113.0, 359.0], [112.0, 373.0], [8.0, 371.0]], ('Suggested Gratuity:', 0.9591987729072571)], [[[51.0, 371.0], [70.0, 371.0], [70.0, 383.0], [51.0, 383.0]], ('22%', 0.9542815089225769)], [[[94.0, 371.0], [125.0, 371.0], [125.0, 385.0], [94.0, 385.0]], ('14.39', 0.9951028823852539)], [[[52.0, 382.0], [70.0, 382.0], [70.0, 395.0], [52.0, 395.0]], ('20%', 0.9784868359565735)], [[[94.0, 382.0], [124.0, 382.0], [124.0, 396.0], [94.0, 396.0]], ('13.08', 0.9917382001876831)], [[[52.0, 392.0], [70.0, 392.0], [70.0, 405.0], [52.0, 405.0]], ('18%', 0.9845450520515442)], [[[54.0, 403.0], [71.0, 403.0], [71.0, 415.0], [54.0, 415.0]], ('15%', 0.9536728858947754)], [[[94.0, 395.0], [123.0, 395.0], [123.0, 406.0], [94.0, 406.0]], ('11.77', 0.9925274848937988)], [[[97.0, 402.0], [122.0, 405.0], [121.0, 417.0], [95.0, 414.0]], ('9.81', 0.9882075786590576)], [[[57.0, 416.0], [184.0, 420.0], [184.0, 433.0], [56.0, 429.0]], ('Get out the door quicker', 0.9278355240821838)], [[[57.0, 426.0], [186.0, 429.0], [186.0, 442.0], [56.0, 439.0]], ('with our new CakePay app.', 0.9248724579811096)], [[[81.0, 436.0], [160.0, 438.0], [160.0, 448.0], [81.0, 446.0]], ('Down load today', 0.925091028213501)]]	{"store_name": "CheesecakeFactory", "store_addr": "Philadelphia", "telephone": "", "date": "08/24/16 08/24", "time": "20:19", "subtotal": "60.30", "tax": "5.09", "total": "65.39 65.39", "ignore": " ", "tips": "22%14.39 20%13.08 18%11.77 15%9.81", "line_items": [{"item_key": "", "item_name": "HeinekenBottle", "item_value": "6.50", "item_quantity": "1"}, {"item_key": "", "item_name": "PineappleJuice", "item_value": "2.95", "item_quantity": "1"}, {"item_key": "", "item_name": "BarGingerAle", "item_value": "3.00", "item_quantity": "1"}, {"item_key": "", "item_name": "AsianLettuceWrapTacos", "item_value": "7.50", "item_quantity": "1"}, {"item_key": "", "item_name": "SkinnyHamburger", "item_value": "11.95", "item_quantity": "1"}, {"item_key": "", "item_name": "BasilTomatoFlatbread", "item_value": "6.95", "item_quantity": "1"}, {"item_key": "", "item_name": "GreekSalad,xaddsalmon", "item_value": "11.95", "item_quantity": "1"}, {"item_key": "", "item_name": "HeinekenBottle", "item_value": "6.50", "item_quantity": "1"}, {"item_key": "", "item_name": "LemoncelloCreamTorte", "item_value": "7.95", "item_quantity": "1"}, {"item_key": "", "item_name": "BarGingerAle", "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	[[[[39.0, 94.0], [278.0, 85.0], [279.0, 109.0], [40.0, 118.0]], ('BATON ROUGE DECARIE', 0.9617372751235962)], [[[67.0, 118.0], [252.0, 111.0], [253.0, 125.0], [68.0, 132.0]], ('5385 RUE DES JOCKEYSMONTREAL', 0.9393839240074158)], [[[67.0, 133.0], [247.0, 126.0], [248.0, 140.0], [68.0, 147.0]], ('QCH4P2T8TEL514-738-1616', 0.9612649083137512)], [[[102.0, 176.0], [211.0, 173.0], [211.0, 190.0], [102.0, 193.0]], ('SAM 29 AVRIL2017', 0.9488736391067505)], [[[45.0, 194.0], [267.0, 191.0], [267.0, 214.0], [45.0, 217.0]], ('ADDITI0N #306106-1', 0.9675379991531372)], [[[130.0, 216.0], [185.0, 216.0], [185.0, 230.0], [130.0, 230.0]], ('TABLE#53', 0.9382791519165039)], [[[61.0, 247.0], [147.0, 247.0], [147.0, 261.0], [61.0, 261.0]], ('1COWBOY STEAK', 0.9496042728424072)], [[[222.0, 247.0], [264.0, 247.0], [264.0, 262.0], [222.0, 262.0]], ('$39.00', 0.992487907409668)], [[[60.0, 262.0], [178.0, 262.0], [178.0, 275.0], [60.0, 275.0]], ('1.8oz HAUT SURLONGE', 0.878739595413208)], [[[222.0, 262.0], [264.0, 262.0], [264.0, 277.0], [222.0, 277.0]], ('$24.00', 0.9894089102745056)], [[[59.0, 273.0], [137.0, 276.0], [136.0, 294.0], [58.0, 290.0]], ('1ASAL MIXTE', 0.9303755164146423)], [[[228.0, 277.0], [265.0, 277.0], [265.0, 292.0], [228.0, 292.0]], ('$4.00', 0.8957268595695496)], [[[60.0, 291.0], [98.0, 291.0], [98.0, 305.0], [60.0, 305.0]], ('1ACP', 0.9566256999969482)], [[[229.0, 293.0], [266.0, 293.0], [266.0, 308.0], [229.0, 308.0]], ('$4.00', 0.9953457117080688)], [[[67.0, 304.0], [132.0, 307.0], [131.0, 324.0], [66.0, 321.0]], ('SOUS-TOTAL', 0.9879875183105469)], [[[222.0, 310.0], [267.0, 310.0], [267.0, 325.0], [222.0, 325.0]], ('$71.00', 0.9350150227546692)], [[[65.0, 322.0], [99.0, 322.0], [99.0, 338.0], [65.0, 338.0]], ('T.V.Q', 0.9382566213607788)], [[[229.0, 326.0], [268.0, 326.0], [268.0, 345.0], [229.0, 345.0]], ('$7.08', 0.988360583782196)], [[[61.0, 338.0], [100.0, 338.0], [100.0, 356.0], [61.0, 356.0]], ('T.P.S.', 0.9155488610267639)], [[[40.0, 352.0], [104.0, 357.0], [102.0, 387.0], [38.0, 382.0]], ('TOTAL', 0.9984350204467773)], [[[229.0, 344.0], [269.0, 344.0], [269.0, 363.0], [229.0, 363.0]], ('$3.55', 0.9950034022331238)], [[[172.0, 359.0], [263.0, 363.0], [261.0, 395.0], [171.0, 391.0]], ('$81.63', 0.9965488910675049)], [[[19.0, 398.0], [287.0, 417.0], [286.0, 434.0], [18.0, 415.0]], ('*************************************', 0.912558376789093)]]	{"store_name": "BATONROUGEDECARIE", "store_addr": "5385RUEDESJOCKEYS,MONTREAL QC,H4P2TB", "telephone": "514-738-1616", "date": "", "time": "", "subtotal": "$71.00", "tax": "$3.55 $7.08", "total": "$81.63", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "COWBOYSTEAK", "item_value": "$4.00", "item_quantity": "1"}, {"item_key": "", "item_name": "8ozHAUTSURLONGE", "item_value": "$4.00", "item_quantity": "1"}, {"item_key": "", "item_name": "ASALMIXTE", "item_value": "$24.00", "item_quantity": "1"}, {"item_key": "", "item_name": "ACP", "item_value": "$39.00", "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	[[[[281.0, 75.0], [343.0, 75.0], [343.0, 86.0], [281.0, 86.0]], ('SHOP NAME', 0.9463976621627808)], [[[280.0, 107.0], [344.0, 107.0], [344.0, 120.0], [280.0, 120.0]], ('RECEIPT', 0.996404767036438)], [[[191.0, 142.0], [278.0, 142.0], [278.0, 155.0], [191.0, 155.0]], ('AddressAdress Line', 0.9391085505485535)], [[[381.0, 142.0], [421.0, 142.0], [421.0, 156.0], [381.0, 156.0]], ('14:43AM', 0.9281092286109924)], [[[192.0, 155.0], [254.0, 155.0], [254.0, 165.0], [192.0, 165.0]], ('Date04/09/18', 0.9789102673530579)], [[[381.0, 151.0], [432.0, 154.0], [431.0, 167.0], [380.0, 165.0]], ('Terminal#1', 0.9541376233100891)], [[[191.0, 164.0], [286.0, 165.0], [286.0, 178.0], [191.0, 177.0]], ('ManagerJames Smith', 0.9614036083221436)], [[[201.0, 198.0], [224.0, 198.0], [224.0, 209.0], [201.0, 209.0]], ('ITEM', 0.9979908466339111)], [[[291.0, 198.0], [311.0, 198.0], [311.0, 211.0], [291.0, 211.0]], ('QTY', 0.9956153035163879)], [[[375.0, 197.0], [404.0, 197.0], [404.0, 210.0], [375.0, 210.0]], ('PRICE', 0.9971965551376343)], [[[200.0, 221.0], [255.0, 221.0], [255.0, 232.0], [200.0, 232.0]], ('Lorem ipsum', 0.9039264917373657)], [[[295.0, 220.0], [307.0, 220.0], [307.0, 234.0], [295.0, 234.0]], ('3', 0.9759780168533325)], [[[375.0, 219.0], [408.0, 219.0], [408.0, 233.0], [375.0, 233.0]], ('$22.99', 0.9566494822502136)], [[[199.0, 237.0], [241.0, 240.0], [240.0, 254.0], [198.0, 251.0]], ('Dipiscing', 0.9716691970825195)], [[[295.0, 239.0], [307.0, 239.0], [307.0, 253.0], [295.0, 253.0]], ('2', 0.9932043552398682)], [[[374.0, 236.0], [408.0, 239.0], [407.0, 253.0], [373.0, 250.0]], ('$15.99', 0.9358243346214294)], [[[201.0, 260.0], [273.0, 260.0], [273.0, 271.0], [201.0, 271.0]], ('Aliquam molestie', 0.9363577365875244)], [[[295.0, 259.0], [307.0, 259.0], [307.0, 273.0], [295.0, 273.0]], ('2', 0.9883931279182434)], [[[375.0, 259.0], [404.0, 259.0], [404.0, 273.0], [375.0, 273.0]], ('$9.99', 0.9890190362930298)], [[[201.0, 282.0], [250.0, 282.0], [250.0, 292.0], [201.0, 292.0]], ('Auctor vitae', 0.9579052329063416)], [[[296.0, 281.0], [305.0, 281.0], [305.0, 292.0], [296.0, 292.0]], ('1', 0.8655152916908264)], [[[375.0, 280.0], [404.0, 280.0], [404.0, 293.0], [375.0, 293.0]], ('$5.20', 0.968845546245575)], [[[200.0, 298.0], [233.0, 301.0], [232.0, 314.0], [199.0, 312.0]], ('Pharetr', 0.934174120426178)], [[[296.0, 301.0], [305.0, 301.0], [305.0, 313.0], [296.0, 313.0]], ('1', 0.6332672238349915)], [[[375.0, 299.0], [404.0, 299.0], [404.0, 313.0], [375.0, 313.0]], ('5355', 0.5013039708137512)], [[[199.0, 320.0], [235.0, 322.0], [234.0, 336.0], [198.0, 333.0]], ('Semper', 0.993086040019989)], [[[295.0, 321.0], [307.0, 321.0], [307.0, 335.0], [295.0, 335.0]], ('2', 0.9514755606651306)], [[[375.0, 321.0], [404.0, 321.0], [404.0, 335.0], [375.0, 335.0]], ('$8.30', 0.9024993777275085)], [[[196.0, 356.0], [221.0, 356.0], [221.0, 371.0], [196.0, 371.0]], ('TAX', 0.9966221451759338)], [[[372.0, 356.0], [412.0, 356.0], [412.0, 370.0], [372.0, 370.0]], ('$15.95', 0.9945933818817139)], [[[198.0, 380.0], [279.0, 380.0], [279.0, 392.0], [198.0, 392.0]], ('TOTAL AMOUNT', 0.971472442150116)], [[[373.0, 380.0], [413.0, 380.0], [413.0, 393.0], [373.0, 393.0]], ('$66.32', 0.989482581615448)], [[[200.0, 403.0], [236.0, 405.0], [235.0, 418.0], [199.0, 415.0]], ('CARD#', 0.9622797966003418)], [[[385.0, 405.0], [410.0, 405.0], [410.0, 416.0], [385.0, 416.0]], ('2532', 0.9881671667098999)], [[[201.0, 420.0], [226.0, 420.0], [226.0, 430.0], [201.0, 430.0]], ('AUTH', 0.9972895383834839)], [[[373.0, 420.0], [409.0, 420.0], [409.0, 430.0], [373.0, 430.0]], ('#212331', 0.9458718299865723)], [[[279.0, 445.0], [342.0, 445.0], [342.0, 456.0], [279.0, 456.0]], ('THANK YOU!', 0.9404385685920715)], [[[245.0, 511.0], [376.0, 511.0], [376.0, 520.0], [245.0, 520.0]], ('YOUR FEEDBACK KEEPS US IMPROVINC', 0.9330130815505981)], [[[212.0, 578.0], [413.0, 578.0], [413.0, 599.0], [212.0, 599.0]], ('designed by@freepik', 0.9664466381072998)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "04/09/18", "time": "14:43AM", "subtotal": "", "tax": "$15.95", "total": "$66.32", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "LoremIpsum", "item_value": "$22.99", "item_quantity": "1"}, {"item_key": "", "item_name": "Dipiscing", "item_value": "$15.99", "item_quantity": "1"}, {"item_key": "", "item_name": "Aliquammolestle", "item_value": "$9.99", "item_quantity": "1"}, {"item_key": "", "item_name": "Auctorvitae", "item_value": "$5.20", "item_quantity": "1"}, {"item_key": "", "item_name": "Pharetr", "item_value": "$3.85", "item_quantity": "1"}, {"item_key": "", "item_name": "Semper", "item_value": "$8.30", "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	[[[[35.0, 27.0], [189.0, 11.0], [192.0, 42.0], [38.0, 58.0]], ('WiLLY:S', 0.9248794317245483)], [[[58.0, 56.0], [165.0, 44.0], [166.0, 54.0], [59.0, 66.0]], ('mat du ctilar-priser du aiskar', 0.7778360247612)], [[[25.0, 80.0], [206.0, 58.0], [208.0, 73.0], [27.0, 95.0]], ('Katrinelund Malmo', 0.9415383338928223)], [[[70.0, 88.0], [152.0, 78.0], [154.0, 91.0], [71.0, 101.0]], ('Te1.040-6803440', 0.9188413023948669)], [[[202.0, 100.0], [234.0, 96.0], [236.0, 110.0], [203.0, 114.0]], ('10,00', 0.9210367202758789)], [[[5.0, 118.0], [105.0, 108.0], [107.0, 123.0], [7.0, 133.0]], ('RISINGS8050CL2.8%', 0.958859384059906)], [[[207.0, 112.0], [235.0, 110.0], [237.0, 126.0], [208.0, 128.0]], ('3,00', 0.9431887865066528)], [[[13.0, 130.0], [45.0, 128.0], [46.0, 143.0], [15.0, 145.0]], ('+PANT', 0.9248042106628418)], [[[14.0, 155.0], [85.0, 150.0], [86.0, 164.0], [15.0, 169.0]], ('Totalt 1 vara', 0.9093004465103149)], [[[132.0, 158.0], [237.0, 150.0], [239.0, 167.0], [134.0, 175.0]], ('13,00 SEK', 0.8918817043304443)], [[[14.0, 169.0], [78.0, 163.0], [80.0, 178.0], [16.0, 184.0]], ('Totalt', 0.9954950213432312)], [[[201.0, 182.0], [240.0, 180.0], [241.0, 195.0], [202.0, 197.0]], ('100,00', 0.9614439606666565)], [[[7.0, 194.0], [53.0, 194.0], [53.0, 208.0], [7.0, 208.0]], ('Mottaget', 0.9449295997619629)], [[[46.0, 192.0], [96.0, 189.0], [97.0, 203.0], [47.0, 206.0]], ('Kontant', 0.9829035401344299)], [[[55.0, 205.0], [98.0, 203.0], [99.0, 218.0], [56.0, 220.0]], ('Kontant', 0.9900859594345093)], [[[202.0, 197.0], [239.0, 194.0], [241.0, 210.0], [203.0, 213.0]], ('-87,00', 0.8943634629249573)], [[[6.0, 208.0], [31.0, 208.0], [31.0, 223.0], [6.0, 223.0]], ('Ater', 0.9958081245422363)], [[[6.0, 234.0], [37.0, 232.0], [38.0, 247.0], [8.0, 249.0]], ('Mons%', 0.8629374504089355)], [[[68.0, 233.0], [94.0, 233.0], [94.0, 245.0], [68.0, 245.0]], ('Moms', 0.8505765199661255)], [[[146.0, 228.0], [178.0, 228.0], [178.0, 243.0], [146.0, 243.0]], ('Netto', 0.9975274205207825)], [[[203.0, 226.0], [241.0, 226.0], [241.0, 240.0], [203.0, 240.0]], ('Brutto', 0.9961816668510437)], [[[8.0, 248.0], [38.0, 248.0], [38.0, 263.0], [8.0, 263.0]], ('12,00', 0.935364842414856)], [[[69.0, 245.0], [96.0, 245.0], [96.0, 261.0], [69.0, 261.0]], ('1,39', 0.927106499671936)], [[[146.0, 242.0], [178.0, 242.0], [178.0, 257.0], [146.0, 257.0]], ('11,61', 0.9726058840751648)], [[[210.0, 240.0], [243.0, 240.0], [243.0, 255.0], [210.0, 255.0]], ('13,00', 0.9577037692070007)], [[[53.0, 286.0], [193.0, 286.0], [193.0, 300.0], [53.0, 300.0]], ('SPARA KVITTOT', 0.9618136882781982)], [[[32.0, 314.0], [220.0, 314.0], [220.0, 327.0], [32.0, 327.0]], ('KYL OCH FRYSVAROR', 0.9452369809150696)], [[[98.0, 326.0], [148.0, 328.0], [147.0, 342.0], [97.0, 340.0]], ('BYTES EJ', 0.9099215865135193)], [[[71.0, 341.0], [176.0, 342.0], [176.0, 356.0], [71.0, 355.0]], ('Org.nr 556163-2232', 0.9487802982330322)], [[[32.0, 354.0], [215.0, 358.0], [215.0, 372.0], [32.0, 368.0]], ('Tack for besoket.Valkommen Ater.', 0.9239590167999268)], [[[74.0, 382.0], [166.0, 385.0], [166.0, 399.0], [73.0, 396.0]], ('Ou betjanades av', 0.8975284099578857)], [[[106.0, 398.0], [146.0, 398.0], [146.0, 412.0], [106.0, 412.0]], ('Lisa E', 0.9639830589294434)]]	{"store_name": "WiLLY:S", "store_addr": "KatrinelundMalm\u00d6", "telephone": "040-6803440", "date": "", "time": "", "subtotal": "11,61", "tax": "1,39", "total": "13,00SEK 13,00", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "RISINGSBO50CL2.8%", "item_value": "10,00", "item_quantity": "1"}, {"item_key": "", "item_name": "+PANT", "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	[[[[70.0, 58.0], [154.0, 64.0], [152.0, 87.0], [69.0, 81.0]], ('*', 0.7279852032661438)], [[[209.0, 66.0], [480.0, 61.0], [481.0, 89.0], [209.0, 94.0]], ('DRIVETHRU', 0.9674621224403381)], [[[534.0, 64.0], [613.0, 67.0], [612.0, 89.0], [533.0, 86.0]], ('*', 0.910098135471344)], [[[184.0, 98.0], [494.0, 95.0], [494.0, 123.0], [185.0, 126.0]], ('Termina105/DT CSHR-5', 0.9505789875984192)], [[[190.0, 132.0], [498.0, 130.0], [499.0, 154.0], [190.0, 156.0]], ('RE-PRINTED CHECK1=', 0.9502204060554504)], [[[278.0, 196.0], [417.0, 192.0], [418.0, 222.0], [279.0, 225.0]], ('Store 7379', 0.955935001373291)], [[[240.0, 231.0], [468.0, 229.0], [468.0, 254.0], [240.0, 256.0]], ('9861 De Soto Ave.', 0.8786264657974243)], [[[227.0, 265.0], [480.0, 261.0], [481.0, 286.0], [227.0, 290.0]], ('Chatsworth,CA 91311', 0.9320903420448303)], [[[116.0, 297.0], [573.0, 297.0], [573.0, 322.0], [116.0, 322.0]], ('Store#818-998-0188 DM#480-232-8092', 0.9745430946350098)], [[[71.0, 362.0], [362.0, 362.0], [362.0, 388.0], [71.0, 388.0]], ('Store7379-CARLSJR', 0.9728444218635559)], [[[70.0, 396.0], [307.0, 396.0], [307.0, 424.0], [70.0, 424.0]], ('Check#:0732', 0.9619216918945312)], [[[404.0, 394.0], [613.0, 392.0], [614.0, 420.0], [404.0, 422.0]], ('09/29/159:03PM', 0.9677311778068542)], [[[70.0, 432.0], [322.0, 430.0], [322.0, 455.0], [70.0, 457.0]], ('Server:00025/EMMA', 0.9623307585716248)], [[[63.0, 496.0], [115.0, 493.0], [117.0, 528.0], [66.0, 531.0]], ('QTY', 0.9959476590156555)], [[[167.0, 495.0], [230.0, 495.0], [230.0, 527.0], [167.0, 527.0]], ('ITEM', 0.997863233089447)], [[[416.0, 492.0], [514.0, 489.0], [515.0, 520.0], [417.0, 522.0]], ('U/PRICE', 0.9950512051582336)], [[[418.0, 558.0], [478.0, 555.0], [480.0, 586.0], [420.0, 589.0]], ('VOID', 0.9979246854782104)], [[[564.0, 553.0], [623.0, 553.0], [623.0, 584.0], [564.0, 584.0]], ('5.79', 0.9932805895805359)], [[[74.0, 569.0], [93.0, 569.0], [93.0, 597.0], [74.0, 597.0]], ('1', 0.9687626957893372)], [[[170.0, 566.0], [284.0, 562.0], [285.0, 591.0], [171.0, 595.0]], ('TERIYAKI', 0.996822714805603)], [[[421.0, 591.0], [480.0, 591.0], [480.0, 622.0], [421.0, 622.0]], ('VOID', 0.9979069232940674)], [[[566.0, 585.0], [625.0, 585.0], [625.0, 617.0], [566.0, 617.0]], ('5.79', 0.9946709275245667)], [[[74.0, 605.0], [92.0, 605.0], [92.0, 631.0], [74.0, 631.0]], ('1', 0.8795706033706665)], [[[170.0, 600.0], [285.0, 595.0], [286.0, 625.0], [171.0, 630.0]], ('TERIYAKI', 0.997197151184082)], [[[422.0, 624.0], [482.0, 624.0], [482.0, 655.0], [422.0, 655.0]], ('VOID', 0.9948074817657471)], [[[567.0, 620.0], [626.0, 616.0], [628.0, 648.0], [569.0, 652.0]], ('1.79', 0.9928635954856873)], [[[70.0, 638.0], [93.0, 638.0], [93.0, 668.0], [70.0, 668.0]], ('1', 0.8532148003578186)], [[[169.0, 636.0], [339.0, 629.0], [340.0, 657.0], [170.0, 664.0]], ('MEATLESS BGR', 0.9546718001365662)], [[[423.0, 658.0], [483.0, 658.0], [483.0, 690.0], [423.0, 690.0]], ('VOID', 0.9940003156661987)], [[[570.0, 653.0], [630.0, 653.0], [630.0, 684.0], [570.0, 684.0]], ('2.00', 0.9913742542266846)], [[[65.0, 672.0], [97.0, 672.0], [97.0, 707.0], [65.0, 707.0]], ('2', 0.9908060431480408)], [[[169.0, 671.0], [326.0, 664.0], [327.0, 692.0], [170.0, 699.0]], ('$1LG DRINK', 0.9455782771110535)], [[[423.0, 694.0], [484.0, 694.0], [484.0, 725.0], [423.0, 725.0]], ('VOID', 0.9974709153175354)], [[[571.0, 688.0], [629.0, 684.0], [631.0, 717.0], [574.0, 720.0]], ('1.00', 0.9905571937561035)], [[[70.0, 710.0], [93.0, 710.0], [93.0, 739.0], [70.0, 739.0]], ('1', 0.9381490349769592)], [[[168.0, 708.0], [327.0, 700.0], [329.0, 729.0], [169.0, 737.0]], ('$1LG DRINK', 0.9492074251174927)], [[[563.0, 758.0], [632.0, 755.0], [633.0, 786.0], [565.0, 789.0]], ('16.37', 0.995499312877655)], [[[256.0, 772.0], [400.0, 765.0], [401.0, 794.0], [258.0, 801.0]], ('Subtotal=', 0.9778465628623962)], [[[564.0, 791.0], [636.0, 791.0], [636.0, 821.0], [564.0, 821.0]], ('-3.54', 0.9811056852340698)], [[[256.0, 808.0], [401.0, 801.0], [402.0, 829.0], [258.0, 836.0]], ('Discount =', 0.9454110860824585)], [[[565.0, 825.0], [633.0, 823.0], [634.0, 852.0], [567.0, 854.0]], ('12.83', 0.9978740811347961)], [[[243.0, 841.0], [402.0, 833.0], [403.0, 861.0], [245.0, 869.0]], ('Adj Total=', 0.9587249755859375)], [[[575.0, 857.0], [632.0, 854.0], [633.0, 882.0], [576.0, 885.0]], ('1.16', 0.9957879781723022)], [[[327.0, 869.0], [402.0, 866.0], [403.0, 893.0], [328.0, 896.0]], ('Tax=', 0.9930397272109985)], [[[499.0, 890.0], [626.0, 883.0], [628.0, 909.0], [501.0, 916.0]], ('13.99', 0.9968700408935547)], [[[217.0, 902.0], [400.0, 894.0], [401.0, 920.0], [218.0, 928.0]], ('GRAND TOTAL=', 0.9624162316322327)], [[[140.0, 955.0], [331.0, 949.0], [332.0, 971.0], [141.0, 977.0]], ('2F0R4.5', 0.8649068474769592)], [[[353.0, 948.0], [536.0, 940.0], [537.0, 962.0], [354.0, 970.0]], ('TERYAKI', 0.997491180896759)]]	{"store_name": "WeIcomeToCarI'sJr Store7379 9861DeSotoAve.", "store_addr": "Chatsworth,CA91311", "telephone": "", "date": "09/29/15", "time": "9:03PM", "subtotal": "16.37", "tax": "1.16", "total": "13.99", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "TERIYAKI", "item_value": "5.79", "item_quantity": "1"}, {"item_key": "", "item_name": "TERIYAKI", "item_value": "5.79", "item_quantity": "1"}, {"item_key": "", "item_name": "MEATLESSBGR", "item_value": "1.79", "item_quantity": "1"}, {"item_key": "", "item_name": "$1LGDRINK", "item_value": "2.00", "item_quantity": "1"}, {"item_key": "", "item_name": "$1LGDRINK", "item_value": "1.00", "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	[[[[193.0, 16.0], [375.0, 16.0], [375.0, 33.0], [193.0, 33.0]], ('Keep your receipt!', 0.9374338984489441)], [[[69.0, 137.0], [130.0, 137.0], [130.0, 154.0], [69.0, 154.0]], ('Val #', 0.9009073972702026)], [[[69.0, 178.0], [296.0, 178.0], [296.0, 195.0], [69.0, 195.0]], ('0129 002 521207/28/13', 0.9524567723274231)], [[[338.0, 178.0], [484.0, 178.0], [484.0, 195.0], [338.0, 195.0]], ('19:19 01027384', 0.9458226561546326)], [[[69.0, 240.0], [346.0, 238.0], [346.0, 255.0], [69.0, 257.0]], ('XXXXXXXXx47310PENL00P', 0.7217665314674377)], [[[411.0, 239.0], [508.0, 239.0], [508.0, 258.0], [411.0, 258.0]], ('200.00N', 0.9923204779624939)], [[[89.0, 259.0], [317.0, 260.0], [317.0, 277.0], [89.0, 276.0]], ('ISSUEAPPR0VAL325707', 0.9836564064025879)], [[[88.0, 277.0], [366.0, 279.0], [366.0, 299.0], [88.0, 297.0]], ('OPEN LOOP JUST FOR YOU FY11', 0.9178447127342224)], [[[69.0, 301.0], [285.0, 301.0], [285.0, 318.0], [69.0, 318.0]], ('94733490PENL00PF', 0.9457802772521973)], [[[439.0, 301.0], [507.0, 301.0], [507.0, 322.0], [439.0, 322.0]], ('5.95N', 0.983481228351593)], [[[89.0, 321.0], [224.0, 321.0], [224.0, 338.0], [89.0, 338.0]], ('OPEN LOOP FEE', 0.9463873505592346)], [[[70.0, 344.0], [346.0, 344.0], [346.0, 361.0], [70.0, 361.0]], ('d007N306168XxxXXXXXXx', 0.6175191402435303)], [[[410.0, 344.0], [477.0, 344.0], [477.0, 362.0], [410.0, 362.0]], ('200.00', 0.9970127940177917)], [[[491.0, 346.0], [504.0, 346.0], [504.0, 361.0], [491.0, 361.0]], ('N', 0.9974209070205688)], [[[93.0, 365.0], [316.0, 365.0], [316.0, 379.0], [93.0, 379.0]], ('ISSUEAPPR0VAL769517', 0.9719620943069458)], [[[91.0, 383.0], [365.0, 385.0], [365.0, 403.0], [91.0, 400.0]], ('OPEN LOOP JUST FOR YOU FY11', 0.9246477484703064)], [[[71.0, 402.0], [286.0, 406.0], [286.0, 423.0], [71.0, 419.0]], ('94733490PEN L00PF', 0.9263380169868469)], [[[438.0, 406.0], [506.0, 406.0], [506.0, 427.0], [438.0, 427.0]], ('5.95N', 0.9891756772994995)], [[[92.0, 425.0], [225.0, 425.0], [225.0, 442.0], [92.0, 442.0]], ('OPEN LOOP FEE', 0.9497703313827515)], [[[68.0, 443.0], [246.0, 444.0], [246.0, 464.0], [68.0, 463.0]], ('5426693RZ CARD', 0.9631392359733582)], [[[439.0, 447.0], [506.0, 447.0], [506.0, 468.0], [439.0, 468.0]], ('0.00N', 0.9366803169250488)], [[[90.0, 466.0], [255.0, 466.0], [255.0, 483.0], [90.0, 483.0]], ('REWARD ZONE CARD', 0.9640284180641174)], [[[89.0, 485.0], [296.0, 485.0], [296.0, 505.0], [89.0, 505.0]], ('MEMBERID', 0.9692738056182861)], [[[67.0, 504.0], [256.0, 506.0], [255.0, 526.0], [67.0, 524.0]], ('9226802SH0PKICK', 0.967880368232727)], [[[440.0, 509.0], [508.0, 509.0], [508.0, 530.0], [440.0, 530.0]], ('0.00N', 0.9616543650627136)], [[[88.0, 526.0], [172.0, 528.0], [171.0, 546.0], [88.0, 544.0]], ('SHOPKICK', 0.997077465057373)], [[[87.0, 545.0], [297.0, 549.0], [297.0, 569.0], [87.0, 565.0]], ('MEMBER ID', 0.9284265041351318)], [[[284.0, 590.0], [367.0, 592.0], [367.0, 613.0], [283.0, 611.0]], ('SUBTOTAL', 0.9957401752471924)], [[[411.0, 592.0], [479.0, 594.0], [478.0, 617.0], [410.0, 614.0]], ('411.90', 0.9739952087402344)], [[[202.0, 611.0], [370.0, 615.0], [370.0, 636.0], [201.0, 631.0]], ('SALES TAX AMOUNT', 0.9303051233291626)], [[[432.0, 616.0], [479.0, 616.0], [479.0, 638.0], [432.0, 638.0]], ('0.00', 0.9976406693458557)], [[[317.0, 655.0], [370.0, 655.0], [370.0, 678.0], [317.0, 678.0]], ('TOTAL', 0.9985257983207703)], [[[411.0, 656.0], [479.0, 659.0], [478.0, 681.0], [410.0, 678.0]], ('411.90', 0.9514913558959961)], [[[327.0, 696.0], [373.0, 699.0], [372.0, 722.0], [325.0, 719.0]], ('AMEX', 0.9966809153556824)], [[[412.0, 698.0], [479.0, 701.0], [478.0, 723.0], [411.0, 720.0]], ('411.90', 0.9586382508277893)], [[[64.0, 714.0], [224.0, 719.0], [224.0, 739.0], [64.0, 735.0]], ('MICHELLE SINGH', 0.9721248745918274)], [[[65.0, 736.0], [222.0, 741.0], [222.0, 761.0], [64.0, 756.0]], ('APPROVAL', 0.9798339605331421)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "07/28/13", "time": "19:19", "subtotal": "411.90", "tax": "0.00", "total": "411.90 411.90", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "SHOPKICK", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "9226802SHOPKICK", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "REWARDZONECARD", "item_value": "5.95", "item_quantity": "1"}, {"item_key": "", "item_name": "5426693RZCARD", "item_value": "200.00", "item_quantity": "1"}, {"item_key": "", "item_name": "OPENLOOPFEE", "item_value": "5.95", "item_quantity": "1"}, {"item_key": "", "item_name": "9473349OPENLOOPF", "item_value": "200.00", "item_quantity": "1"}, {"item_key": "", "item_name": "OPENLOOPFEE", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "9473349OPENLOOPF", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "xxxxxxxxxxxx4731OPENLOOP", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "OPENLOOP", "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	[[[[103.0, 2.0], [211.0, 2.0], [211.0, 19.0], [103.0, 19.0]], ('CUSTOMER COPY', 0.9668168425559998)], [[[85.0, 23.0], [253.0, 20.0], [253.0, 37.0], [85.0, 40.0]], ('6/20/2017 8:26:04 PM', 0.9243875741958618)], [[[119.0, 42.0], [204.0, 40.0], [205.0, 58.0], [119.0, 59.0]], ('DRIVE THRU', 0.9474803805351257)], [[[2.0, 64.0], [105.0, 64.0], [105.0, 81.0], [2.0, 81.0]], ('rder Number:', 0.9464494585990906)], [[[128.0, 62.0], [188.0, 62.0], [188.0, 80.0], [128.0, 80.0]], ('4371091', 0.9992429614067078)], [[[20.0, 104.0], [106.0, 104.0], [106.0, 122.0], [20.0, 122.0]], ('Strips 4ct', 0.972161591053009)], [[[292.0, 99.0], [328.0, 99.0], [328.0, 118.0], [292.0, 118.0]], ('4.35', 0.9971191883087158)], [[[20.0, 125.0], [91.0, 125.0], [91.0, 142.0], [20.0, 142.0]], ('CFA Sand', 0.9324585199356079)], [[[292.0, 120.0], [329.0, 120.0], [329.0, 138.0], [292.0, 138.0]], ('3.09', 0.9962592124938965)], [[[19.0, 145.0], [107.0, 143.0], [108.0, 163.0], [19.0, 165.0]], ('Nugget 8ct', 0.9763895869255066)], [[[293.0, 140.0], [329.0, 140.0], [329.0, 158.0], [293.0, 158.0]], ('3.09', 0.9966145753860474)], [[[4.0, 166.0], [93.0, 163.0], [94.0, 184.0], [4.0, 187.0]], ('Fries LG', 0.9525109529495239)], [[[293.0, 160.0], [329.0, 160.0], [329.0, 179.0], [293.0, 179.0]], ('3.78', 0.994785487651825)], [[[22.0, 206.0], [115.0, 203.0], [116.0, 223.0], [22.0, 226.0]], ('Sub.Total:', 0.934002697467804)], [[[278.0, 200.0], [330.0, 197.0], [331.0, 218.0], [279.0, 221.0]], ('$14.31', 0.9933819770812988)], [[[24.0, 227.0], [60.0, 227.0], [60.0, 245.0], [24.0, 245.0]], ('Tax:', 0.955669105052948)], [[[285.0, 221.0], [330.0, 218.0], [332.0, 237.0], [286.0, 240.0]], ('$1.18', 0.9934724569320679)], [[[25.0, 247.0], [77.0, 247.0], [77.0, 265.0], [25.0, 265.0]], ('Total:', 0.9862951636314392)], [[[278.0, 240.0], [332.0, 238.0], [332.0, 258.0], [279.0, 260.0]], ('$15.49', 0.9943055510520935)], [[[26.0, 287.0], [77.0, 287.0], [77.0, 304.0], [26.0, 304.0]], ('Change', 0.9973308444023132)], [[[286.0, 279.0], [334.0, 276.0], [336.0, 298.0], [288.0, 301.0]], ('$0.00', 0.9956976175308228)], [[[26.0, 308.0], [72.0, 308.0], [72.0, 326.0], [26.0, 326.0]], ('Visa:', 0.9799727201461792)], [[[281.0, 302.0], [334.0, 299.0], [334.0, 317.0], [281.0, 320.0]], ('$15.49', 0.9959258437156677)], [[[1.0, 329.0], [88.0, 326.0], [88.0, 343.0], [1.0, 346.0]], ('Register:2', 0.9772558212280273)], [[[167.0, 323.0], [334.0, 319.0], [334.0, 339.0], [167.0, 343.0]], ('Tran Seq No4371091', 0.961257815361023)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "6/20/2017", "time": "8:26:04PM", "subtotal": "$14.31", "tax": "$1.18", "total": "$15.49", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "Strips4ct", "item_value": "4.35", "item_quantity": "1"}, {"item_key": "", "item_name": "CFASand", "item_value": "3.09", "item_quantity": "1"}, {"item_key": "", "item_name": "Nugget8ct", "item_value": "3.09", "item_quantity": "1"}, {"item_key": "", "item_name": "FriesLG", "item_value": "3.78", "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	[[[[174.0, 223.0], [524.0, 223.0], [524.0, 298.0], [174.0, 298.0]], ('Walmart', 0.9663426280021667)], [[[175.0, 302.0], [526.0, 305.0], [525.0, 335.0], [175.0, 332.0]], ('Save money.l.ive better', 0.9479017853736877)], [[[254.0, 363.0], [521.0, 367.0], [520.0, 395.0], [254.0, 392.0]], ('MANAIiER GREG BROWN', 0.8993866443634033)], [[[251.0, 390.0], [523.0, 393.0], [522.0, 422.0], [250.0, 418.0]], ('9378B-5400', 0.9519633054733276)], [[[107.0, 411.0], [668.0, 420.0], [668.0, 454.0], [106.0, 445.0]], ('ST#04000P#0100692TE015651', 0.8726119995117188)], [[[110.0, 447.0], [236.0, 447.0], [236.0, 470.0], [110.0, 470.0]], ('CORN YLW', 0.939724326133728)], [[[272.0, 443.0], [519.0, 447.0], [519.0, 477.0], [272.0, 473.0]], ('agpopno', 0.5005420446395874)], [[[167.0, 473.0], [341.0, 473.0], [341.0, 497.0], [167.0, 497.0]], ('5AT1FO', 0.8661885857582092)], [[[370.0, 464.0], [487.0, 474.0], [484.0, 507.0], [368.0, 497.0]], ('9%', 0.7455286979675293)], [[[574.0, 470.0], [673.0, 474.0], [672.0, 509.0], [573.0, 505.0]], ('2.50N', 0.991321861743927)], [[[106.0, 497.0], [251.0, 497.0], [251.0, 525.0], [106.0, 525.0]], ('RED DNION', 0.9158470630645752)], [[[290.0, 498.0], [503.0, 502.0], [502.0, 530.0], [290.0, 527.0]], ('00C00040B2KF', 0.829982340335846)], [[[131.0, 525.0], [462.0, 527.0], [462.0, 555.0], [131.0, 553.0]], ('1.371b1t/1.34', 0.925317108631134)], [[[574.0, 526.0], [672.0, 530.0], [670.0, 562.0], [573.0, 558.0]], ('1.84N', 0.9759032130241394)], [[[105.0, 552.0], [475.0, 557.0], [475.0, 583.0], [105.0, 578.0]], ('PRN FRSH 40Z O:10158B30B0', 0.8602278828620911)], [[[573.0, 555.0], [671.0, 555.0], [671.0, 592.0], [573.0, 592.0]], ('4.72', 0.9700953960418701)], [[[105.0, 578.0], [504.0, 583.0], [504.0, 612.0], [105.0, 607.0]], ('100CRANBRY03120020311 F', 0.9200939536094666)], [[[574.0, 579.0], [670.0, 586.0], [668.0, 617.0], [573.0, 611.0]], ('4.98N', 0.9847536087036133)], [[[106.0, 607.0], [210.0, 607.0], [210.0, 635.0], [106.0, 635.0]], ('RAWHIDE', 0.9982010126113892)], [[[295.0, 606.0], [475.0, 610.0], [475.0, 639.0], [295.0, 635.0]], ('0t8113143916', 0.9545862674713135)], [[[573.0, 608.0], [670.0, 614.0], [669.0, 644.0], [571.0, 638.0]], ('8.98X', 0.9248459935188293)], [[[103.0, 632.0], [504.0, 637.0], [504.0, 665.0], [103.0, 660.0]], ('CATALINA DRS 021C0064446F', 0.8989631533622742)], [[[575.0, 638.0], [668.0, 638.0], [668.0, 668.0], [575.0, 668.0]], ('2.18 N', 0.9001192450523376)], [[[105.0, 663.0], [223.0, 663.0], [223.0, 687.0], [105.0, 687.0]], ('POTATOES', 0.9881115555763245)], [[[295.0, 662.0], [503.0, 665.0], [502.0, 692.0], [295.0, 688.0]], ('03338353010F', 0.9584452509880066)], [[[571.0, 662.0], [670.0, 662.0], [670.0, 697.0], [571.0, 697.0]], ('2.47N', 0.983273983001709)], [[[102.0, 685.0], [239.0, 689.0], [239.0, 719.0], [101.0, 715.0]], ('ORG SALAD', 0.897711455821991)], [[[296.0, 693.0], [503.0, 693.0], [503.0, 717.0], [296.0, 717.0]], ('0t8113132898F', 0.9433860778808594)], [[[571.0, 688.0], [669.0, 694.0], [667.0, 726.0], [569.0, 719.0]], ('2.98N', 0.9907044172286987)], [[[366.0, 715.0], [483.0, 719.0], [482.0, 747.0], [365.0, 743.0]], ('SUBTOTAL', 0.9945246577262878)], [[[560.0, 715.0], [636.0, 719.0], [634.0, 752.0], [558.0, 748.0]], ('30.65', 0.9876605868339539)], [[[103.0, 742.0], [226.0, 742.0], [226.0, 770.0], [103.0, 770.0]], ('CORN YLW', 0.9407041072845459)], [[[294.0, 740.0], [506.0, 745.0], [505.0, 775.0], [293.0, 770.0]], ('OUOOCO0D07&K', 0.5051204562187195)], [[[157.0, 768.0], [334.0, 768.0], [334.0, 802.0], [157.0, 802.0]], ('5AT1FOH', 0.8013479113578796)], [[[544.0, 768.0], [668.0, 768.0], [668.0, 803.0], [544.0, 803.0]], ('J50/N', 0.5521577000617981)], [[[367.0, 797.0], [483.0, 797.0], [483.0, 827.0], [367.0, 827.0]], ('SUBPOTAL', 0.9850790500640869)], [[[558.0, 800.0], [635.0, 800.0], [635.0, 830.0], [558.0, 830.0]], ('33.15', 0.9957658052444458)], [[[234.0, 823.0], [319.0, 823.0], [319.0, 853.0], [234.0, 853.0]], ('TAX 1', 0.8871690630912781)], [[[352.0, 828.0], [460.0, 828.0], [460.0, 852.0], [352.0, 852.0]], ('.250%', 0.9371559023857117)], [[[570.0, 830.0], [634.0, 830.0], [634.0, 855.0], [570.0, 855.0]], ('1.13', 0.9945765137672424)], [[[411.0, 855.0], [481.0, 855.0], [481.0, 880.0], [411.0, 880.0]], ('TOTAL', 0.9960165023803711)], [[[556.0, 851.0], [636.0, 855.0], [634.0, 885.0], [555.0, 881.0]], ('34.28', 0.987970232963562)], [[[333.0, 873.0], [488.0, 879.0], [487.0, 914.0], [332.0, 908.0]], ('VISA TEND', 0.8739233016967773)], [[[557.0, 880.0], [635.0, 880.0], [635.0, 910.0], [557.0, 910.0]], ('34.28', 0.9950436353683472)], [[[102.0, 930.0], [310.0, 932.0], [309.0, 960.0], [101.0, 958.0]], ('ACCOUNT #O00O', 0.8269640803337097)], [[[103.0, 958.0], [352.0, 960.0], [352.0, 988.0], [103.0, 987.0]], ('APPROVAL #3131A', 0.9310452342033386)], [[[100.0, 983.0], [364.0, 985.0], [363.0, 1013.0], [100.0, 1012.0]], ('REF#1286004525', 0.9490789175033569)], [[[102.0, 1008.0], [496.0, 1013.0], [496.0, 1042.0], [101.0, 1037.0]], ('TRAN5 ID-00028E67B763851', 0.882885217666626)], [[[100.0, 1035.0], [354.0, 1038.0], [353.0, 1068.0], [100.0, 1065.0]], ('VALIDATION-TIBW', 0.943284273147583)], [[[100.0, 1063.0], [382.0, 1067.0], [381.0, 1095.0], [100.0, 1092.0]], ('PAYMENT SERVICI-E', 0.9383176565170288)], [[[100.0, 1090.0], [421.0, 1095.0], [421.0, 1123.0], [100.0, 1118.0]], ('TERMINAL #WMTOOOCO001', 0.9142369627952576)], [[[331.0, 1146.0], [483.0, 1150.0], [483.0, 1179.0], [331.0, 1175.0]], ('CH ANGE: DUE', 0.8515788912773132)], [[[567.0, 1152.0], [632.0, 1152.0], [632.0, 1182.0], [567.0, 1182.0]], ('0.00', 0.996801495552063)], [[[156.0, 1198.0], [595.0, 1209.0], [594.0, 1254.0], [155.0, 1243.0]], ('#ITES SOLD 17', 0.8968774080276489)], [[[156.0, 1275.0], [568.0, 1282.0], [568.0, 1310.0], [155.0, 1303.0]], ('TC# 1854148370014031099', 0.9570094347000122)], [[[135.0, 1378.0], [613.0, 1387.0], [612.0, 1415.0], [134.0, 1407.0]], ('Layaway is tiack for Electronics,', 0.896437406539917)], [[[108.0, 1405.0], [635.0, 1412.0], [635.0, 1442.0], [108.0, 1435.0]], ('Toys,and Jew1r.10/17/11-12/16/11', 0.921080470085144)], [[[210.0, 1431.0], [333.0, 1435.0], [332.0, 1464.0], [209.0, 1460.0]], ('10/13/1', 0.9894284009933472)], [[[400.0, 1438.0], [522.0, 1438.0], [522.0, 1467.0], [400.0, 1467.0]], ('13:51:27', 0.9490920305252075)], [[[225.0, 1486.0], [506.0, 1492.0], [506.0, 1522.0], [224.0, 1517.0]], ('CUSTOER COPY*', 0.8632106184959412)]]	{"store_name": "Walmart", "store_addr": "", "telephone": "(936)788-5400", "date": "", "time": "13:51:27", "subtotal": "33.15", "tax": "1.13", "total": "34.28 34.28", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "CORNYLW", "item_value": "2.50", "item_quantity": "1"}, {"item_key": "", "item_name": "REDONION", "item_value": "2.50", "item_quantity": "1"}, {"item_key": "", "item_name": "PRNFRSH40Z", "item_value": "1.84", "item_quantity": "1"}, {"item_key": "", "item_name": "100CRANBRY", "item_value": "4.72", "item_quantity": "1"}, {"item_key": "", "item_name": "RAWHIDE", "item_value": "4.98", "item_quantity": "1"}, {"item_key": "", "item_name": "CATALINADRS", "item_value": "8.98", "item_quantity": "1"}, {"item_key": "", "item_name": "POTATOES", "item_value": "2.18", "item_quantity": "1"}, {"item_key": "", "item_name": "ORGSALAD", "item_value": "2.47", "item_quantity": "1"}, {"item_key": "", "item_name": "CORNYLW", "item_value": "2.98", "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	[[[[199.0, 6.0], [386.0, 12.0], [386.0, 26.0], [199.0, 20.0]], ('Nu k KEA', 0.6378915309906006)], [[[181.0, 18.0], [405.0, 25.0], [405.0, 42.0], [181.0, 35.0]], ('Yalkoaaon ut tll var sasorgstaltl', 0.5977460741996765)], [[[234.0, 48.0], [357.0, 49.0], [357.0, 64.0], [234.0, 63.0]], ('Maare10:00-2000', 0.8343098163604736)], [[[234.0, 61.0], [357.0, 63.0], [357.0, 77.0], [234.0, 75.0]], ('Loe50010:00-100', 0.8051171898841858)], [[[194.0, 72.0], [397.0, 77.0], [397.0, 94.0], [194.0, 89.0]], ('valkoaen t111 IKEA Heleinoor', 0.5629851222038269)], [[[183.0, 88.0], [335.0, 87.0], [335.0, 101.0], [183.0, 102.0]], ('55607475691', 0.8657941818237305)], [[[262.0, 169.0], [378.0, 169.0], [378.0, 182.0], [262.0, 182.0]], ('010703100004071013', 0.9836297631263733)], [[[358.0, 181.0], [379.0, 181.0], [379.0, 192.0], [358.0, 192.0]], ('SEK', 0.8941208720207214)], [[[193.0, 193.0], [297.0, 193.0], [297.0, 207.0], [193.0, 207.0]], ('7011649817915', 0.9806452393531799)], [[[172.0, 207.0], [273.0, 207.0], [273.0, 220.0], [172.0, 220.0]], ('S68LADA14X1', 0.8213046789169312)], [[[376.0, 203.0], [432.0, 203.0], [432.0, 220.0], [376.0, 220.0]], ('39.00.A', 0.886566162109375)], [[[192.0, 220.0], [298.0, 218.0], [298.0, 232.0], [192.0, 234.0]], ('9011085316635', 0.9124075174331665)], [[[172.0, 233.0], [278.0, 231.0], [278.0, 245.0], [172.0, 247.0]], ('S68LADA1X1', 0.8345141410827637)], [[[376.0, 230.0], [416.0, 228.0], [417.0, 243.0], [377.0, 245.0]], ('39.00', 0.960830569267273)], [[[418.0, 232.0], [428.0, 232.0], [428.0, 241.0], [418.0, 241.0]], ('A', 0.7598934173583984)], [[[192.0, 245.0], [299.0, 245.0], [299.0, 259.0], [192.0, 259.0]], ('2012362716949', 0.9624338150024414)], [[[173.0, 259.0], [274.0, 257.0], [274.0, 270.0], [173.0, 272.0]], ('FASLERLADA 53', 0.9115626811981201)], [[[378.0, 255.0], [432.0, 255.0], [432.0, 269.0], [378.0, 269.0]], ('69.00A', 0.9595275521278381)], [[[191.0, 271.0], [299.0, 269.0], [299.0, 283.0], [191.0, 285.0]], ('5011070810973', 0.9430013298988342)], [[[175.0, 285.0], [272.0, 283.0], [272.0, 297.0], [175.0, 299.0]], ('AS SKRIVSM', 0.8062537908554077)], [[[373.0, 280.0], [416.0, 280.0], [416.0, 295.0], [373.0, 295.0]], ('995.00', 0.9702542424201965)], [[[193.0, 298.0], [300.0, 295.0], [300.0, 309.0], [193.0, 312.0]], ('5010212814729', 0.953155517578125)], [[[173.0, 312.0], [275.0, 308.0], [275.0, 322.0], [173.0, 326.0]], ('SESAHYLLA 60X', 0.7774535417556763)], [[[373.0, 307.0], [415.0, 307.0], [415.0, 322.0], [373.0, 322.0]], ('595.00', 0.9473745822906494)], [[[425.0, 311.0], [430.0, 311.0], [430.0, 317.0], [425.0, 317.0]], ('a', 0.9589043855667114)], [[[192.0, 324.0], [301.0, 321.0], [301.0, 335.0], [192.0, 338.0]], ('501030014729', 0.9217821955680847)], [[[173.0, 338.0], [275.0, 335.0], [275.0, 349.0], [173.0, 352.0]], ('EXPEDIS BOKHILL', 0.8125638961791992)], [[[374.0, 332.0], [416.0, 332.0], [416.0, 346.0], [374.0, 346.0]], ('479.00', 0.9337690472602844)], [[[180.0, 352.0], [240.0, 350.0], [240.0, 364.0], [180.0, 366.0]], ('SSTOTAL:', 0.696707010269165)], [[[368.0, 346.0], [415.0, 346.0], [415.0, 361.0], [368.0, 361.0]], ('2216.00', 0.9162558317184448)], [[[188.0, 389.0], [223.0, 389.0], [223.0, 407.0], [188.0, 407.0]], ('TOTAL', 0.8931924700737)], [[[366.0, 385.0], [415.0, 383.0], [416.0, 400.0], [367.0, 402.0]], ('2216.0', 0.8738176822662354)], [[[215.0, 429.0], [391.0, 422.0], [391.0, 439.0], [215.0, 446.0]], ('SPARA KVELIOT KUNDENS.KOPIA', 0.7929137945175171)], [[[174.0, 457.0], [218.0, 455.0], [219.0, 473.0], [175.0, 475.0]], ('KOP', 0.9770512580871582)]]	{"store_name": "", "store_addr": "", "telephone": "020-439050", "date": "", "time": "", "subtotal": "2216.00", "tax": "", "total": "2216.00", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "SKUBBLADA14X1", "item_value": "39.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SKUBBLADA14X1", "item_value": "39.00", "item_quantity": "1"}, {"item_key": "", "item_name": "FABLERLADAS3", "item_value": "69.00", "item_quantity": "1"}, {"item_key": "", "item_name": "6010212814729", "item_value": "995.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BESTAHYLLA60X", "item_value": "595.00", "item_quantity": "1"}, {"item_key": "", "item_name": "EXPEDITBOKHYLL", "item_value": "479.00", "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	[[[[348.0, 0.0], [414.0, 1.0], [413.0, 22.0], [347.0, 19.0]], ('Panda Egress', 0.8081040382385254)], [[[274.0, 32.0], [323.0, 34.0], [323.0, 48.0], [274.0, 46.0]], ('10/1/2009', 0.936198890209198)], [[[350.0, 23.0], [415.0, 23.0], [415.0, 37.0], [350.0, 37.0]], ('(704)547-636', 0.8108008503913879)], [[[411.0, 32.0], [465.0, 35.0], [464.0, 49.0], [410.0, 46.0]], ('75124', 0.7939923405647278)], [[[274.0, 44.0], [340.0, 46.0], [340.0, 57.0], [274.0, 55.0]], ('701/206250', 0.7343767881393433)], [[[288.0, 54.0], [368.0, 58.0], [367.0, 72.0], [287.0, 68.0]], ('12-DNTREEPLATE', 0.821428120136261)], [[[310.0, 68.0], [363.0, 71.0], [362.0, 85.0], [309.0, 82.0]], ('FRIED RICE', 0.9061684608459473)], [[[312.0, 82.0], [364.0, 82.0], [364.0, 96.0], [312.0, 96.0]], ('ORANIE CKN', 0.7262329459190369)], [[[310.0, 94.0], [363.0, 92.0], [363.0, 106.0], [310.0, 108.0]], ('CRANGE CKN', 0.8111969232559204)], [[[285.0, 104.0], [355.0, 106.0], [355.0, 120.0], [285.0, 118.0]], ('1XIRA ENTREE', 0.8374967575073242)], [[[450.0, 99.0], [474.0, 99.0], [474.0, 111.0], [450.0, 111.0]], ('10', 0.6658464074134827)], [[[310.0, 118.0], [367.0, 116.0], [367.0, 130.0], [310.0, 132.0]], ('BROCCOLI BF', 0.8821054100990295)], [[[296.0, 154.0], [317.0, 154.0], [317.0, 168.0], [296.0, 168.0]], ('GEK', 0.8313639163970947)], [[[451.0, 146.0], [477.0, 146.0], [477.0, 161.0], [451.0, 161.0]], ('1.25', 0.9705270528793335)], [[[350.0, 165.0], [393.0, 165.0], [393.0, 179.0], [350.0, 179.0]], ('Subiotal', 0.915326714515686)], [[[451.0, 159.0], [478.0, 159.0], [478.0, 174.0], [451.0, 174.0]], ('5.75', 0.9507297277450562)], [[[351.0, 176.0], [370.0, 179.0], [368.0, 193.0], [349.0, 190.0]], ('Tax', 0.8932438492774963)], [[[451.0, 172.0], [478.0, 172.0], [478.0, 187.0], [451.0, 187.0]], ('0.53', 0.9696760177612305)], [[[350.0, 190.0], [378.0, 190.0], [378.0, 211.0], [350.0, 211.0]], ('Total', 0.9899225234985352)], [[[452.0, 186.0], [479.0, 186.0], [479.0, 208.0], [452.0, 208.0]], ('6.28', 0.9795136451721191)], [[[350.0, 220.0], [377.0, 223.0], [375.0, 243.0], [348.0, 240.0]], ('Cash', 0.974845826625824)], [[[454.0, 219.0], [481.0, 219.0], [481.0, 241.0], [454.0, 241.0]], ('1.00', 0.8722479343414307)], [[[350.0, 240.0], [386.0, 242.0], [385.0, 260.0], [349.0, 258.0]], ('BOURLO', 0.5467561483383179)], [[[455.0, 238.0], [482.0, 238.0], [482.0, 259.0], [455.0, 259.0]], ('0.72', 0.9920539259910583)], [[[326.0, 270.0], [445.0, 269.0], [445.0, 283.0], [326.0, 284.0]], ('Questrons or Coaments?', 0.8673728704452515)], [[[296.0, 285.0], [477.0, 282.0], [477.0, 296.0], [296.0, 299.0]], ('pandaexpress.con or 8001 8778988', 0.7653757929801941)], [[[339.0, 319.0], [429.0, 319.0], [429.0, 337.0], [339.0, 337.0]], ('FREE ENTREE ITEMI', 0.9041844010353088)], [[[330.0, 337.0], [441.0, 337.0], [441.0, 350.0], [330.0, 350.0]], ('(cee detalls on.back)', 0.7657487988471985)], [[[309.0, 350.0], [464.0, 350.0], [464.0, 363.0], [309.0, 363.0]], ('Go to pandaexpress.ccs/survey', 0.8964184522628784)], [[[318.0, 363.0], [450.0, 363.0], [450.0, 376.0], [318.0, 376.0]], ('Complete.our Guest Surve', 0.8191527724266052)], [[[352.0, 391.0], [418.0, 388.0], [419.0, 409.0], [353.0, 412.0]], ('Survey #1433', 0.8877128958702087)], [[[372.0, 426.0], [404.0, 426.0], [404.0, 441.0], [372.0, 441.0]], ('TO.GO', 0.7656757235527039)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "10/1/2004", "time": "7:51:24PM", "subtotal": "5.73", "tax": "0.53", "total": "6.28", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "2-ENTREEPLATE", "item_value": "1.25", "item_quantity": "1"}, {"item_key": "", "item_name": "FAIEDR1CE", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "ORANGECMN", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "ORANGECKN", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "XIRAENTREE", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "BRDCCOLIBF", "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	[[[[46.0, 0.0], [57.0, 1.0], [54.0, 25.0], [44.0, 24.0]], ('PSSA', 0.6399636268615723)], [[[108.0, 3.0], [179.0, 0.0], [180.0, 14.0], [108.0, 17.0]], ('BANCO BPM', 0.925614058971405)], [[[115.0, 14.0], [173.0, 11.0], [173.0, 22.0], [115.0, 25.0]], ('CARTASI', 0.9682969450950623)], [[[115.0, 21.0], [176.0, 17.0], [177.0, 31.0], [116.0, 35.0]], ('UNIONPAY', 0.9897331595420837)], [[[114.0, 32.0], [177.0, 29.0], [178.0, 47.0], [114.0, 50.0]], ('ACQUISTO', 0.9966486692428589)], [[[113.0, 59.0], [172.0, 55.0], [172.0, 68.0], [113.0, 72.0]], ('VENEZIA', 0.9964020848274231)], [[[44.0, 74.0], [52.0, 74.0], [52.0, 90.0], [44.0, 90.0]], ('ME', 0.5771651864051819)], [[[187.0, 78.0], [245.0, 78.0], [245.0, 89.0], [187.0, 89.0]], ('7298963', 0.995816171169281)], [[[54.0, 89.0], [98.0, 86.0], [99.0, 97.0], [55.0, 100.0]], ('Eserc.', 0.9938245415687561)], [[[154.0, 89.0], [245.0, 86.0], [245.0, 99.0], [154.0, 102.0]], ('00000000003', 0.9952464699745178)], [[[166.0, 99.0], [246.0, 96.0], [247.0, 110.0], [167.0, 113.0]], ('Ora 15:15', 0.9136212468147278)], [[[53.0, 110.0], [160.0, 98.0], [161.0, 112.0], [55.0, 124.0]], ('Data 04/11/17', 0.9360030293464661)], [[[94.0, 128.0], [150.0, 125.0], [150.0, 139.0], [94.0, 141.0]], ('Online', 0.9758709073066711)], [[[179.0, 122.0], [249.0, 122.0], [249.0, 136.0], [179.0, 136.0]], ('B.C.MAG', 0.9772182106971741)], [[[56.0, 143.0], [89.0, 143.0], [89.0, 157.0], [56.0, 157.0]], ('AUT.', 0.9793758392333984)], [[[92.0, 141.0], [142.0, 137.0], [143.0, 151.0], [93.0, 154.0]], ('999713', 0.9982894062995911)], [[[42.0, 151.0], [53.0, 154.0], [47.0, 179.0], [35.0, 175.0]], ('SOd', 0.7984623908996582)], [[[57.0, 155.0], [80.0, 155.0], [80.0, 166.0], [57.0, 166.0]], ('PAN', 0.9974384307861328)], [[[83.0, 161.0], [127.0, 159.0], [127.0, 173.0], [84.0, 175.0]], ('COPIA', 0.9982751607894897)], [[[165.0, 160.0], [226.0, 160.0], [226.0, 171.0], [165.0, 171.0]], ('CLIENTE', 0.9972385764122009)], [[[49.0, 172.0], [142.0, 169.0], [143.0, 194.0], [49.0, 197.0]], ('IMPORTO EUR', 0.9729130268096924)], [[[196.0, 171.0], [249.0, 169.0], [250.0, 195.0], [197.0, 197.0]], ('526,50', 0.9235477447509766)], [[[59.0, 208.0], [233.0, 208.0], [233.0, 225.0], [59.0, 225.0]], ('C/MSIGNATURE-FIRMA', 0.9564051032066345)], [[[69.0, 254.0], [234.0, 259.0], [234.0, 275.0], [69.0, 269.0]], ('Transazione eseguita', 0.9886730909347534)], [[[59.0, 279.0], [241.0, 284.0], [241.0, 298.0], [59.0, 293.0]], ('NO REFUND/CANCELLATION', 0.9759585857391357)], [[[50.0, 303.0], [224.0, 306.0], [224.0, 320.0], [50.0, 317.0]], ('ACOUISTO CON UNIONPAY', 0.9369304180145264)], [[[39.0, 328.0], [55.0, 328.0], [55.0, 340.0], [39.0, 340.0]], ('S', 0.5353054404258728)], [[[49.0, 327.0], [249.0, 328.0], [249.0, 345.0], [49.0, 344.0]], ('FAR FIRMARE LO SCONTRINO', 0.9568631052970886)], [[[49.0, 340.0], [242.0, 339.0], [242.0, 356.0], [49.0, 357.0]], ('AL TITOLARE DELLA CARTA', 0.9545919299125671)], [[[108.0, 366.0], [185.0, 366.0], [185.0, 380.0], [108.0, 380.0]], ('BANCO BPM', 0.9467291235923767)]]	{"store_name": "BANCOBPM CARTASI UNIONPAY ACQUISTO", "store_addr": "TRATTORIACASANOVA VENEZIA", "telephone": "", "date": "04/11/17", "time": "15:15", "subtotal": "", "tax": "", "total": "526,50", "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	[[[[81.0, 48.0], [150.0, 50.0], [150.0, 64.0], [81.0, 61.0]], ('TAXI RECEIPT', 0.9544286131858826)], [[[39.0, 73.0], [76.0, 73.0], [76.0, 84.0], [39.0, 84.0]], ('HACK', 0.9892715811729431)], [[[163.0, 72.0], [193.0, 72.0], [193.0, 86.0], [163.0, 86.0]], ('12345', 0.9985389709472656)], [[[38.0, 84.0], [73.0, 84.0], [73.0, 98.0], [38.0, 98.0]], ('MED#', 0.9610753059387207)], [[[40.0, 98.0], [76.0, 98.0], [76.0, 108.0], [40.0, 108.0]], ('TRIPS', 0.897553563117981)], [[[162.0, 98.0], [192.0, 98.0], [192.0, 108.0], [162.0, 108.0]], ('57896', 0.9975525140762329)], [[[38.0, 108.0], [70.0, 108.0], [70.0, 122.0], [38.0, 122.0]], ('DATE:', 0.9851630330085754)], [[[134.0, 109.0], [193.0, 107.0], [193.0, 121.0], [135.0, 123.0]], ('11/11/2014', 0.9961594343185425)], [[[39.0, 122.0], [96.0, 122.0], [96.0, 133.0], [39.0, 133.0]], ('START TIME', 0.9453837275505066)], [[[163.0, 122.0], [192.0, 122.0], [192.0, 133.0], [163.0, 133.0]], ('15:10', 0.9653093218803406)], [[[38.0, 142.0], [85.0, 145.0], [84.0, 158.0], [37.0, 156.0]], ('RATE NO.', 0.9201645255088806)], [[[39.0, 134.0], [85.0, 134.0], [85.0, 144.0], [39.0, 144.0]], ('END TIME', 0.9271657466888428)], [[[140.0, 142.0], [192.0, 145.0], [192.0, 158.0], [139.0, 156.0]], ('CITY RATE', 0.9361128211021423)], [[[162.0, 133.0], [193.0, 133.0], [193.0, 146.0], [162.0, 146.0]], ('15:30', 0.9740610122680664)], [[[39.0, 154.0], [76.0, 156.0], [75.0, 170.0], [38.0, 168.0]], ('STAND.', 0.9880378246307373)], [[[177.0, 157.0], [192.0, 157.0], [192.0, 169.0], [177.0, 169.0]], ('03', 0.9945720434188843)], [[[39.0, 169.0], [86.0, 169.0], [86.0, 180.0], [39.0, 180.0]], ('MILESR1', 0.9739476442337036)], [[[166.0, 169.0], [191.0, 169.0], [191.0, 181.0], [166.0, 181.0]], ('1.48', 0.9899541139602661)], [[[39.0, 181.0], [71.0, 181.0], [71.0, 191.0], [39.0, 191.0]], ('FARE1', 0.975517749786377)], [[[160.0, 180.0], [192.0, 180.0], [192.0, 193.0], [160.0, 193.0]], ('$8.10', 0.9926964044570923)], [[[38.0, 190.0], [92.0, 192.0], [92.0, 206.0], [37.0, 204.0]], ('SURCHARGE', 0.9950482845306396)], [[[160.0, 192.0], [192.0, 192.0], [192.0, 206.0], [160.0, 206.0]], ('$1.00', 0.9939926266670227)], [[[39.0, 203.0], [70.0, 203.0], [70.0, 217.0], [39.0, 217.0]], ('TOTAL', 0.9967940449714661)], [[[160.0, 204.0], [192.0, 204.0], [192.0, 218.0], [160.0, 218.0]], ('$9.10', 0.9794057607650757)], [[[41.0, 216.0], [90.0, 216.0], [90.0, 226.0], [41.0, 226.0]], ('TIP/OTHER', 0.9694626331329346)], [[[160.0, 216.0], [191.0, 216.0], [191.0, 229.0], [160.0, 229.0]], ('$2.00', 0.9580925107002258)], [[[38.0, 226.0], [90.0, 226.0], [90.0, 240.0], [38.0, 240.0]], ('GR.TOTAL', 0.9719827175140381)], [[[155.0, 228.0], [191.0, 228.0], [191.0, 239.0], [155.0, 239.0]], ('$11.10', 0.995311975479126)], [[[89.0, 250.0], [140.0, 250.0], [140.0, 263.0], [89.0, 263.0]], ('THANK YOU', 0.938575029373169)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "11/11/2014", "time": "15:30", "subtotal": "$9.10", "tax": "", "total": "", "ignore": "", "tips": "$2.00 $1.00", "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	[[[[76.0, 4.0], [188.0, 0.0], [189.0, 15.0], [77.0, 21.0]], ('SAN DIEGO, CA 921', 0.9435659050941467)], [[[230.0, 4.0], [285.0, 0.0], [286.0, 15.0], [232.0, 21.0]], ('13:05:29', 0.9555895924568176)], [[[25.0, 26.0], [90.0, 18.0], [92.0, 36.0], [27.0, 44.0]], ('01/28/2015', 0.9803020358085632)], [[[199.0, 25.0], [286.0, 15.0], [288.0, 33.0], [201.0, 43.0]], ('TIDXXXXX755', 0.9455970525741577)], [[[24.0, 46.0], [156.0, 31.0], [158.0, 48.0], [25.0, 63.0]], ('MIDXXXXXXXXXXXX813', 0.8072923421859741)], [[[115.0, 61.0], [193.0, 52.0], [195.0, 73.0], [117.0, 82.0]], ('CREDIT CARD', 0.9579851627349854)], [[[124.0, 89.0], [187.0, 82.0], [190.0, 102.0], [127.0, 110.0]], ('VISA SALE', 0.9642295837402344)], [[[178.0, 113.0], [296.0, 99.0], [298.0, 120.0], [181.0, 134.0]], ('xXxxxxxxxxxx1458', 0.652963399887085)], [[[27.0, 129.0], [74.0, 125.0], [76.0, 148.0], [29.0, 152.0]], ('CARD#', 0.9410157203674316)], [[[233.0, 131.0], [298.0, 124.0], [300.0, 145.0], [235.0, 152.0]], ('Visa Credit', 0.985289990901947)], [[[29.0, 153.0], [88.0, 147.0], [90.0, 170.0], [32.0, 176.0]], ('Chip Card:', 0.9324978590011597)], [[[197.0, 160.0], [300.0, 149.0], [302.0, 170.0], [199.0, 181.0]], ('A0000000031010', 0.9598426818847656)], [[[31.0, 179.0], [113.0, 170.0], [115.0, 191.0], [34.0, 200.0]], ('Chip Card AID', 0.9295205473899841)], [[[268.0, 178.0], [301.0, 174.0], [305.0, 196.0], [271.0, 201.0]], ('0007', 0.9988552927970886)], [[[34.0, 202.0], [63.0, 202.0], [63.0, 223.0], [34.0, 223.0]], ('ATC:', 0.9455482363700867)], [[[35.0, 226.0], [59.0, 226.0], [59.0, 247.0], [35.0, 247.0]], ('TC:', 0.946027934551239)], [[[273.0, 227.0], [308.0, 224.0], [309.0, 248.0], [275.0, 251.0]], ('0074', 0.9987881183624268)], [[[35.0, 251.0], [87.0, 245.0], [90.0, 267.0], [37.0, 273.0]], ('INVOICE', 0.9987987279891968)], [[[273.0, 253.0], [309.0, 249.0], [312.0, 272.0], [276.0, 276.0]], ('0071', 0.9965713024139404)], [[[38.0, 275.0], [83.0, 272.0], [85.0, 294.0], [40.0, 297.0]], ('SEQ#', 0.9801979064941406)], [[[264.0, 279.0], [312.0, 275.0], [313.0, 297.0], [266.0, 301.0]], ('000132', 0.9988487362861633)], [[[41.0, 299.0], [93.0, 295.0], [94.0, 316.0], [43.0, 319.0]], ('Batch #', 0.918558657169342)], [[[264.0, 304.0], [313.0, 300.0], [314.0, 321.0], [266.0, 325.0]], ('05915D', 0.9896152019500732)], [[[46.0, 324.0], [127.0, 314.0], [130.0, 335.0], [48.0, 344.0]], ('Approval Code', 0.9660395383834839)], [[[255.0, 329.0], [315.0, 324.0], [316.0, 346.0], [257.0, 351.0]], ('Chip Read', 0.9749615788459778)], [[[47.0, 347.0], [125.0, 339.0], [128.0, 360.0], [49.0, 368.0]], ('Enty Method', 0.9106597304344177)], [[[279.0, 353.0], [318.0, 353.0], [318.0, 375.0], [279.0, 375.0]], ('Issuer', 0.9977239966392517)], [[[48.0, 370.0], [87.0, 367.0], [89.0, 390.0], [50.0, 393.0]], ('Mode:', 0.9877416491508484)], [[[275.0, 387.0], [323.0, 384.0], [325.0, 420.0], [278.0, 424.0]], ('$7.02', 0.9949777722358704)], [[[52.0, 404.0], [154.0, 397.0], [157.0, 428.0], [54.0, 436.0]], ('SALE AMOUNT', 0.9487293362617493)], [[[95.0, 472.0], [287.0, 459.0], [288.0, 480.0], [97.0, 493.0]], ('I agree to pay above total amount', 0.949452817440033)], [[[95.0, 497.0], [290.0, 486.0], [291.0, 507.0], [96.0, 517.0]], ('according to card issuer agreement', 0.9501389861106873)], [[[86.0, 522.0], [305.0, 510.0], [306.0, 531.0], [87.0, 543.0]], ('Merchant agreement if Credit Voucher', 0.9456528425216675)], [[[73.0, 590.0], [84.0, 590.0], [84.0, 608.0], [73.0, 608.0]], ('X', 0.726690948009491)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "01/28/2015", "time": "13:05:29", "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	[[[[120.0, 22.0], [190.0, 22.0], [190.0, 36.0], [120.0, 36.0]], ('Union', 0.9473390579223633)], [[[6.0, 98.0], [49.0, 101.0], [48.0, 119.0], [5.0, 116.0]], ('Pax:2', 0.9596430659294128)], [[[92.0, 90.0], [202.0, 85.0], [202.0, 102.0], [93.0, 107.0]], ('TABLE:22', 0.9382529258728027)], [[[86.0, 103.0], [175.0, 105.0], [175.0, 119.0], [85.0, 117.0]], ('OP:Den Adrian', 0.9185893535614014)], [[[220.0, 95.0], [250.0, 95.0], [250.0, 109.0], [220.0, 109.0]], ('Iri.', 0.9352268576622009)], [[[7.0, 114.0], [122.0, 118.0], [121.0, 132.0], [7.0, 128.0]], ('POS Title:P0S007', 0.857488214969635)], [[[211.0, 109.0], [290.0, 102.0], [291.0, 120.0], [213.0, 127.0]], ('POS:POSO07', 0.8689650297164917)], [[[7.0, 129.0], [136.0, 130.0], [136.0, 147.0], [7.0, 146.0]], ('Rcpt#B17000000398', 0.9749969244003296)], [[[173.0, 128.0], [291.0, 118.0], [292.0, 135.0], [174.0, 145.0]], ('29/07/201711:23', 0.9824444055557251)], [[[23.0, 159.0], [108.0, 159.0], [108.0, 173.0], [23.0, 173.0]], ('1 Caesar Sld', 0.9115784764289856)], [[[242.0, 152.0], [291.0, 148.0], [292.0, 168.0], [243.0, 171.0]], ('95,000', 0.9575875401496887)], [[[22.0, 170.0], [149.0, 172.0], [149.0, 189.0], [21.0, 187.0]], ('1 Nasi Babi Garing', 0.9365166425704956)], [[[234.0, 167.0], [292.0, 165.0], [293.0, 183.0], [235.0, 185.0]], ('140,000', 0.9532477259635925)], [[[22.0, 184.0], [122.0, 186.0], [121.0, 203.0], [21.0, 201.0]], ('1 Tropic Berry', 0.9412354230880737)], [[[241.0, 182.0], [293.0, 180.0], [294.0, 197.0], [242.0, 199.0]], ('55,000', 0.9136838912963867)], [[[39.0, 213.0], [112.0, 213.0], [112.0, 227.0], [39.0, 227.0]], ('ITEMS TOTAL', 0.9659287929534912)], [[[236.0, 211.0], [294.0, 211.0], [294.0, 228.0], [236.0, 228.0]], ('290,000', 0.9433074593544006)], [[[37.0, 226.0], [126.0, 228.0], [126.0, 242.0], [37.0, 240.0]], ('10% Bill Disc', 0.8944082260131836)], [[[224.0, 227.0], [292.0, 227.0], [292.0, 244.0], [224.0, 244.0]], ('29000', 0.9950982332229614)], [[[36.0, 254.0], [89.0, 254.0], [89.0, 268.0], [36.0, 268.0]], ('SUBTOTAL', 0.9900116920471191)], [[[236.0, 256.0], [294.0, 256.0], [294.0, 273.0], [236.0, 273.0]], ('261,000', 0.959459662437439)], [[[37.0, 267.0], [86.0, 271.0], [85.0, 286.0], [36.0, 282.0]], ('SERVICE', 0.9984787106513977)], [[[242.0, 272.0], [294.0, 272.0], [294.0, 290.0], [242.0, 290.0]], ('26,100', 0.938621997833252)], [[[35.0, 282.0], [59.0, 282.0], [59.0, 298.0], [35.0, 298.0]], ('TAX', 0.9961246848106384)], [[[244.0, 287.0], [294.0, 287.0], [294.0, 305.0], [244.0, 305.0]], ('28710', 0.9936596155166626)], [[[34.0, 308.0], [160.0, 314.0], [159.0, 331.0], [34.0, 325.0]], ('Subtotal BEVERAGES', 0.9574582576751709)], [[[35.0, 323.0], [132.0, 329.0], [131.0, 346.0], [34.0, 340.0]], ('Subtotal FOODS', 0.9202660322189331)], [[[243.0, 316.0], [295.0, 319.0], [294.0, 336.0], [242.0, 333.0]], ('49,500', 0.9257726073265076)], [[[237.0, 331.0], [295.0, 334.0], [294.0, 353.0], [236.0, 350.0]], ('211,500', 0.981242835521698)], [[[34.0, 349.0], [102.0, 355.0], [100.0, 373.0], [33.0, 367.0]], ('TOTAL', 0.9982547760009766)], [[[185.0, 359.0], [293.0, 364.0], [292.0, 382.0], [184.0, 377.0]], ('315,810', 0.9518747329711914)], [[[24.0, 401.0], [126.0, 410.0], [124.0, 427.0], [23.0, 418.0]], ('Email Address :', 0.9172016978263855)]]	{"store_name": "Union", "store_addr": "PIKAvenueMallGroundFloor", "telephone": "", "date": "29/07/2017", "time": "11:23", "subtotal": "290,000 261,000", "tax": "28,710", "total": "315,810", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "CaesarSld", "item_value": "95,000", "item_quantity": "1"}, {"item_key": "", "item_name": "NasiBabiGaring", "item_value": "140,000", "item_quantity": "1"}, {"item_key": "", "item_name": "TropicBerry", "item_value": "55,000", "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	[[[[73.0, 105.0], [169.0, 95.0], [170.0, 109.0], [74.0, 119.0]], ('HYOTAN JAPANESE', 0.9829347133636475)], [[[86.0, 116.0], [155.0, 109.0], [156.0, 122.0], [87.0, 129.0]], ('RESTAURANT', 0.9962321519851685)], [[[91.0, 126.0], [148.0, 120.0], [149.0, 131.0], [92.0, 137.0]], ('NO75U', 0.5635896921157837)], [[[91.0, 134.0], [148.0, 129.0], [149.0, 139.0], [92.0, 144.0]], ('A', 0.6299603581428528)], [[[86.0, 173.0], [140.0, 169.0], [141.0, 184.0], [87.0, 187.0]], ('INVOICE', 0.9973081350326538)], [[[43.0, 192.0], [83.0, 192.0], [83.0, 202.0], [43.0, 202.0]], ('C1 Courtr', 0.7245469093322754)], [[[177.0, 187.0], [190.0, 187.0], [190.0, 196.0], [177.0, 196.0]], ('11', 0.9881778955459595)], [[[42.0, 203.0], [113.0, 201.0], [114.0, 214.0], [42.0, 216.0]], ('ChkCR0024861', 0.9874170422554016)], [[[162.0, 198.0], [191.0, 198.0], [191.0, 209.0], [162.0, 209.0]], ('Guest2', 0.9865991473197937)], [[[43.0, 224.0], [85.0, 224.0], [85.0, 238.0], [43.0, 238.0]], ('TBL04', 0.9907324910163879)], [[[41.0, 243.0], [100.0, 244.0], [99.0, 255.0], [41.0, 254.0]], ('14', 0.8409786820411682)], [[[161.0, 241.0], [191.0, 243.0], [190.0, 255.0], [160.0, 253.0]], ('155.00', 0.9259510636329651)], [[[67.0, 255.0], [100.0, 255.0], [100.0, 265.0], [67.0, 265.0]], ('GresnTea', 0.922326922416687)], [[[170.0, 254.0], [191.0, 254.0], [191.0, 265.0], [170.0, 265.0]], ('2.00', 0.9772138595581055)], [[[40.0, 279.0], [77.0, 281.0], [76.0, 294.0], [39.0, 291.0]], ('SVRCrg', 0.9194956421852112)], [[[120.0, 283.0], [141.0, 283.0], [141.0, 294.0], [120.0, 294.0]], ('10%', 0.9872817397117615)], [[[162.0, 274.0], [191.0, 274.0], [191.0, 285.0], [162.0, 285.0]], ('157.00', 0.9463842511177063)], [[[39.0, 290.0], [102.0, 293.0], [101.0, 305.0], [38.0, 301.0]], ('Total Exude Tax', 0.7760542035102844)], [[[165.0, 284.0], [191.0, 284.0], [191.0, 295.0], [165.0, 295.0]], ('15.70', 0.9545260667800903)], [[[39.0, 300.0], [56.0, 300.0], [56.0, 311.0], [39.0, 311.0]], ('SST', 0.9835349917411804)], [[[92.0, 302.0], [140.0, 306.0], [139.0, 317.0], [91.0, 313.0]], ('SST66%', 0.9311756491661072)], [[[159.0, 295.0], [191.0, 292.0], [192.0, 306.0], [161.0, 309.0]], ('172.70', 0.9897992610931396)], [[[39.0, 309.0], [100.0, 314.0], [99.0, 325.0], [38.0, 320.0]], ('Total inde Tax', 0.7765191197395325)], [[[122.0, 314.0], [141.0, 314.0], [141.0, 326.0], [122.0, 326.0]], ('6%', 0.97062087059021)], [[[166.0, 305.0], [192.0, 305.0], [192.0, 316.0], [166.0, 316.0]], ('10.36', 0.9669551849365234)], [[[39.0, 320.0], [75.0, 325.0], [73.0, 336.0], [38.0, 331.0]], ('Rounding', 0.9904862642288208)], [[[162.0, 316.0], [192.0, 316.0], [192.0, 327.0], [162.0, 327.0]], ('183.06', 0.9690871238708496)], [[[169.0, 325.0], [191.0, 328.0], [190.0, 340.0], [167.0, 337.0]], ('0.01', 0.9591311812400818)], [[[40.0, 336.0], [77.0, 341.0], [75.0, 357.0], [38.0, 352.0]], ('Total', 0.9956151843070984)], [[[143.0, 339.0], [190.0, 342.0], [189.0, 356.0], [142.0, 353.0]], ('183.05', 0.996755063533783)], [[[36.0, 365.0], [63.0, 368.0], [62.0, 379.0], [35.0, 376.0]], ('CASH', 0.994333028793335)], [[[161.0, 364.0], [191.0, 364.0], [191.0, 375.0], [161.0, 375.0]], ('203.00', 0.9831783175468445)], [[[36.0, 374.0], [74.0, 378.0], [72.0, 392.0], [35.0, 388.0]], ('Payment', 0.9551702737808228)], [[[161.0, 373.0], [191.0, 373.0], [191.0, 384.0], [161.0, 384.0]], ('203.00', 0.9709789156913757)], [[[37.0, 386.0], [85.0, 390.0], [84.0, 404.0], [36.0, 401.0]], ('Change Due', 0.9128414392471313)], [[[164.0, 383.0], [189.0, 383.0], [189.0, 394.0], [164.0, 394.0]], ('19.95', 0.9851236343383789)]]	{"store_name": "RESTAURANT HYOYANJAPANESE", "store_addr": "", "telephone": "03-56360328", "date": "", "time": "", "subtotal": "157.00", "tax": "10.36", "total": "183.05", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "GreenTea", "item_value": "2.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "155.00", "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	[[[[104.0, 16.0], [140.0, 16.0], [140.0, 26.0], [104.0, 26.0]], ('Ruby', 0.9170665740966797)], [[[105.0, 31.0], [215.0, 30.0], [215.0, 43.0], [105.0, 44.0]], ('Audrey Jetfers Highway', 0.9184491634368896)], [[[119.0, 23.0], [201.0, 22.0], [201.0, 33.0], [119.0, 34.0]], ('MovteTowne Blvd.', 0.8510971665382385)], [[[123.0, 42.0], [193.0, 39.0], [194.0, 52.0], [124.0, 55.0]], ('VAT.119854', 0.9658879041671753)], [[[65.0, 63.0], [124.0, 65.0], [123.0, 80.0], [65.0, 77.0]], ('142 Elizabe', 0.9276716113090515)], [[[60.0, 87.0], [108.0, 87.0], [108.0, 101.0], [60.0, 101.0]], ('Tb1163/1', 0.9462544918060303)], [[[143.0, 86.0], [183.0, 83.0], [184.0, 98.0], [144.0, 101.0]], ('Chk716', 0.9429457783699036)], [[[234.0, 83.0], [264.0, 83.0], [264.0, 97.0], [234.0, 97.0]], ('Gst 1', 0.8912531733512878)], [[[147.0, 98.0], [168.0, 98.0], [168.0, 110.0], [147.0, 110.0]], ('211', 0.9967940449714661)], [[[123.0, 111.0], [199.0, 106.0], [199.0, 120.0], [124.0, 125.0]], ("05Aug'1417:34", 0.8675269484519958)], [[[95.0, 123.0], [228.0, 117.0], [229.0, 131.0], [95.0, 137.0]], ('* Reprint Memo Check *', 0.852641761302948)], [[[144.0, 144.0], [177.0, 144.0], [177.0, 158.0], [144.0, 158.0]], ('Seat:1', 0.8968670964241028)], [[[68.0, 158.0], [148.0, 158.0], [148.0, 171.0], [68.0, 171.0]], ('1 Soda/CokeZero', 0.937596321105957)], [[[222.0, 155.0], [251.0, 155.0], [251.0, 169.0], [222.0, 169.0]], ('12.00', 0.9935721158981323)], [[[66.0, 170.0], [163.0, 169.0], [163.0, 183.0], [66.0, 184.0]], ('1 LenonLimeBitters', 0.9092442989349365)], [[[222.0, 167.0], [252.0, 167.0], [252.0, 181.0], [222.0, 181.0]], ('16.00', 0.9937313795089722)], [[[65.0, 182.0], [153.0, 181.0], [153.0, 195.0], [65.0, 196.0]], ('2Water/Filtered', 0.9093083143234253)], [[[226.0, 179.0], [253.0, 179.0], [253.0, 194.0], [226.0, 194.0]], ('0.00', 0.9955875873565674)], [[[65.0, 194.0], [205.0, 192.0], [205.0, 206.0], [65.0, 208.0]], ('1 Half Rack Ribs Honey BBQ', 0.9277374744415283)], [[[216.0, 192.0], [253.0, 192.0], [253.0, 206.0], [216.0, 206.0]], ('165.00', 0.9935858249664307)], [[[77.0, 209.0], [111.0, 209.0], [111.0, 220.0], [77.0, 220.0]], ('Entree', 0.9955684542655945)], [[[64.0, 219.0], [158.0, 218.0], [158.0, 233.0], [64.0, 234.0]], ('1Jam Jerk Shriep', 0.900039553642273)], [[[218.0, 217.0], [254.0, 217.0], [254.0, 231.0], [218.0, 231.0]], ('155.00', 0.9897707104682922)], [[[64.0, 233.0], [154.0, 233.0], [154.0, 246.0], [64.0, 246.0]], ('1 Griled Salmon', 0.8487126231193542)], [[[218.0, 230.0], [254.0, 230.0], [254.0, 245.0], [218.0, 245.0]], ('140.00', 0.9950554966926575)], [[[63.0, 245.0], [162.0, 245.0], [162.0, 259.0], [63.0, 259.0]], ('2 Sante Fe Chk Sa', 0.9340754151344299)], [[[220.0, 243.0], [254.0, 243.0], [254.0, 257.0], [220.0, 257.0]], ('160.00', 0.9892630577087402)], [[[63.0, 258.0], [198.0, 258.0], [198.0, 272.0], [63.0, 272.0]], ('1 Guacanole Dip Appetizer', 0.9139668345451355)], [[[224.0, 256.0], [255.0, 256.0], [255.0, 270.0], [224.0, 270.0]], ('36.00', 0.9930710792541504)], [[[63.0, 270.0], [127.0, 272.0], [127.0, 286.0], [62.0, 284.0]], ('1 Salty Dog', 0.9102818965911865)], [[[224.0, 268.0], [256.0, 271.0], [255.0, 285.0], [223.0, 282.0]], ('36.00', 0.9861065745353699)], [[[61.0, 284.0], [156.0, 283.0], [156.0, 297.0], [61.0, 298.0]], ('1 Porto Cruz Pink', 0.9297107458114624)], [[[225.0, 283.0], [256.0, 283.0], [256.0, 298.0], [225.0, 298.0]], ('66.00', 0.9839560389518738)], [[[60.0, 298.0], [135.0, 298.0], [135.0, 312.0], [60.0, 312.0]], ('1 Marg Midori', 0.9536411762237549)], [[[225.0, 295.0], [257.0, 298.0], [256.0, 312.0], [224.0, 309.0]], ('44.00', 0.9923442602157593)], [[[71.0, 312.0], [120.0, 312.0], [120.0, 326.0], [71.0, 326.0]], ('Subtotal', 0.9850494861602783)], [[[220.0, 310.0], [258.0, 310.0], [258.0, 325.0], [220.0, 325.0]], ('860.00', 0.9848989844322205)], [[[69.0, 327.0], [135.0, 327.0], [135.0, 342.0], [69.0, 342.0]], ('Service Chg', 0.9721665978431702)], [[[225.0, 324.0], [258.0, 324.0], [258.0, 340.0], [225.0, 340.0]], ('0098', 0.9875297546386719)], [[[68.0, 341.0], [90.0, 341.0], [90.0, 356.0], [68.0, 356.0]], ('VAT', 0.994983971118927)], [[[222.0, 339.0], [258.0, 339.0], [258.0, 354.0], [222.0, 354.0]], ('129.00', 0.9945761561393738)], [[[68.0, 356.0], [100.0, 356.0], [100.0, 371.0], [68.0, 371.0]], ('Total', 0.987439751625061)], [[[180.0, 355.0], [258.0, 355.0], [258.0, 369.0], [180.0, 369.0]], ('1075.00', 0.9987043738365173)], [[[66.0, 386.0], [253.0, 384.0], [253.0, 398.0], [66.0, 400.0]], ('Bills are rounded to nearest $1.', 0.9419228434562683)], [[[65.0, 402.0], [255.0, 400.0], [255.0, 414.0], [65.0, 416.0]], ('For exact change please ask your', 0.9502890706062317)], [[[65.0, 418.0], [165.0, 418.0], [165.0, 432.0], [65.0, 432.0]], ('FRIENDLY Server', 0.9549665451049805)], [[[62.0, 432.0], [194.0, 431.0], [194.0, 448.0], [62.0, 449.0]], ('$US EXCHANGE TT$6', 0.9497847557067871)]]	{"store_name": "RubyTuesday", "store_addr": "MovieTowneBlvd, AudreyJeffersHighway", "telephone": "", "date": "05Aug'14", "time": "17:34", "subtotal": "860.00", "tax": "129.00", "total": "1075.00", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "Soda/CokeZero", "item_value": "12.00", "item_quantity": "1"}, {"item_key": "", "item_name": "LemonLimeBitters", "item_value": "16.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Water/Filtered", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "HalfRackRibsHoneyBBQ", "item_value": "165.00", "item_quantity": "1"}, {"item_key": "", "item_name": "JamJerkShrimp", "item_value": "140.00", "item_quantity": "1"}, {"item_key": "", "item_name": "GrilledSalmon", "item_value": "160.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SanteFeChkSal", "item_value": "36.00", "item_quantity": "1"}, {"item_key": "", "item_name": "GuacamoleDipAppetizer", "item_value": "36.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SaltyDog", "item_value": "66.00", "item_quantity": "1"}, {"item_key": "", "item_name": "PortoCruzPink", "item_value": "44.00", "item_quantity": "1"}, {"item_key": "", "item_name": "MargMidori", "item_value": "155.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Entree", "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, 9.0], [266.0, 20.0], [265.0, 37.0], [81.0, 26.0]], ('Subway#4415-0 Phone 401-785-9222', 0.9192609786987305)], [[[112.0, 24.0], [232.0, 35.0], [231.0, 49.0], [111.0, 38.0]], ('626 Reserv1or Avenue', 0.8741194605827332)], [[[88.0, 36.0], [262.0, 47.0], [261.0, 64.0], [87.0, 53.0]], ('CranstanRnode Island.02910', 0.9088869094848633)], [[[67.0, 49.0], [283.0, 60.0], [282.0, 75.0], [66.0, 63.0]], ('Served by:Alex 11/14/20144:40:32pm', 0.9138892889022827)], [[[106.0, 63.0], [247.0, 73.0], [246.0, 88.0], [105.0, 78.0]], ('Term ID-Trans#1/A-42716', 0.942426860332489)], [[[48.0, 90.0], [131.0, 93.0], [131.0, 108.0], [48.0, 105.0]], ('Qty Size Item', 0.9353809952735901)], [[[255.0, 98.0], [287.0, 98.0], [287.0, 114.0], [255.0, 114.0]], ('Price', 0.9980747103691101)], [[[60.0, 116.0], [157.0, 119.0], [157.0, 137.0], [59.0, 134.0]], ('112Tuna Sub', 0.9501549005508423)], [[[262.0, 123.0], [290.0, 123.0], [290.0, 139.0], [262.0, 139.0]], ('6.75', 0.9748685956001282)], [[[105.0, 136.0], [220.0, 136.0], [220.0, 150.0], [105.0, 150.0]], ('21oz Fauntain Drink', 0.9253351092338562)], [[[264.0, 138.0], [292.0, 138.0], [292.0, 153.0], [264.0, 153.0]], ('1.60', 0.9922233819961548)], [[[47.0, 158.0], [108.0, 162.0], [108.0, 177.0], [47.0, 174.0]], ('Sub Total', 0.8757328987121582)], [[[267.0, 164.0], [296.0, 164.0], [296.0, 178.0], [267.0, 178.0]], ('8.35', 0.9539424777030945)], [[[47.0, 175.0], [138.0, 178.0], [138.0, 192.0], [47.0, 189.0]], ('Lacal Tax 1%', 0.8529219031333923)], [[[268.0, 177.0], [297.0, 177.0], [297.0, 192.0], [268.0, 192.0]], ('0.08', 0.9892076253890991)], [[[47.0, 190.0], [138.0, 192.0], [138.0, 206.0], [47.0, 204.0]], ('State Tax 7%', 0.9338335394859314)], [[[272.0, 192.0], [299.0, 192.0], [299.0, 205.0], [272.0, 205.0]], ('0.58', 0.9956120848655701)], [[[47.0, 205.0], [139.0, 206.0], [139.0, 221.0], [47.0, 220.0]], ('Total Eat In', 0.9030030369758606)], [[[272.0, 205.0], [300.0, 205.0], [300.0, 220.0], [272.0, 220.0]], ('9.01', 0.9893249869346619)], [[[47.0, 220.0], [78.0, 222.0], [77.0, 238.0], [46.0, 236.0]], ('Cash', 0.9960871338844299)], [[[274.0, 219.0], [302.0, 219.0], [302.0, 234.0], [274.0, 234.0]], ('9.01', 0.9957237243652344)], [[[47.0, 237.0], [89.0, 240.0], [88.0, 255.0], [46.0, 252.0]], ('Change', 0.9977333545684814)], [[[275.0, 234.0], [304.0, 234.0], [304.0, 249.0], [275.0, 249.0]], ('0.00', 0.9955688118934631)], [[[47.0, 270.0], [215.0, 268.0], [215.0, 282.0], [47.0, 284.0]], ('Cal1 us with your Comments', 0.8942775130271912)], [[[47.0, 286.0], [173.0, 284.0], [173.0, 298.0], [47.0, 300.0]], ('Phone 800888-4848', 0.9600667357444763)], [[[46.0, 334.0], [257.0, 329.0], [258.0, 346.0], [46.0, 351.0]], ('Host 0rder ID:SPM20141114044032', 0.9452093839645386)], [[[46.0, 385.0], [229.0, 382.0], [229.0, 399.0], [46.0, 402.0]], ('Thank you for making Subway', 0.9449219107627869)], [[[46.0, 403.0], [223.0, 400.0], [223.0, 417.0], [46.0, 420.0]], ("the World's Best Sandwich!", 0.9515846967697144)]]	{"store_name": "Subway#4415-0", "store_addr": "626ReserviorAvenue Cranston,rhodeIsland,02910", "telephone": "401-785-9222 (800)888-4848", "date": "11/14/2014", "time": "4:40:32pm", "subtotal": "8.35", "tax": "0.08 0.58", "total": "9.01 9.01", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "TunaSub", "item_value": "6.75", "item_quantity": "1"}, {"item_key": "", "item_name": "21ozFountainDrink", "item_value": "1.60", "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	[[[[226.0, 266.0], [1626.0, 248.0], [1628.0, 360.0], [227.0, 378.0]], ("Casey's General", 0.9550843834877014)], [[[229.0, 381.0], [1254.0, 363.0], [1256.0, 465.0], [231.0, 483.0]], ('Store#1695', 0.9480272531509399)], [[[222.0, 483.0], [1745.0, 465.0], [1746.0, 581.0], [224.0, 599.0]], ('203 SOUTH MARKET', 0.9447326064109802)], [[[1834.0, 484.0], [2113.0, 504.0], [2105.0, 606.0], [1827.0, 586.0]], ('STR', 0.9938349723815918)], [[[226.0, 592.0], [1648.0, 581.0], [1649.0, 697.0], [227.0, 707.0]], ('S0L0N,IA 52333', 0.8807787895202637)], [[[407.0, 935.0], [786.0, 935.0], [786.0, 1040.0], [407.0, 1040.0]], ('Date', 0.9970974922180176)], [[[994.0, 938.0], [1930.0, 938.0], [1930.0, 1030.0], [994.0, 1030.0]], ('0116/2015', 0.9089657664299011)], [[[406.0, 1046.0], [787.0, 1058.0], [783.0, 1167.0], [402.0, 1155.0]], ('Time', 0.9720474481582642)], [[[1462.0, 1043.0], [1937.0, 1051.0], [1936.0, 1157.0], [1460.0, 1149.0]], ('05:51', 0.9540787935256958)], [[[216.0, 1275.0], [410.0, 1275.0], [410.0, 1394.0], [216.0, 1394.0]], ('AX', 0.9946954250335693)], [[[219.0, 1401.0], [1651.0, 1394.0], [1652.0, 1486.0], [219.0, 1493.0]], ('###########1005', 0.7944815158843994)], [[[220.0, 1617.0], [596.0, 1637.0], [590.0, 1742.0], [214.0, 1722.0]], ('Pump', 0.9718465209007263)], [[[797.0, 1621.0], [1468.0, 1632.0], [1466.0, 1728.0], [796.0, 1717.0]], ('Gallons', 0.9928017258644104)], [[[1664.0, 1621.0], [2136.0, 1633.0], [2133.0, 1731.0], [1661.0, 1720.0]], ('Price', 0.9920641779899597)], [[[309.0, 1731.0], [511.0, 1731.0], [511.0, 1846.0], [309.0, 1846.0]], ('03', 0.9983518123626709)], [[[796.0, 1741.0], [1283.0, 1741.0], [1283.0, 1836.0], [796.0, 1836.0]], ('2.465', 0.9849850535392761)], [[[1276.0, 1741.0], [2145.0, 1741.0], [2145.0, 1843.0], [1276.0, 1843.0]], ('1.899', 0.9817560315132141)], [[[411.0, 1961.0], [1071.0, 1969.0], [1070.0, 2074.0], [410.0, 2067.0]], ('Product', 0.9944294691085815)], [[[1582.0, 1975.0], [2145.0, 1975.0], [2145.0, 2071.0], [1582.0, 2071.0]], ('Amount', 0.996138334274292)], [[[405.0, 2080.0], [884.0, 2088.0], [882.0, 2197.0], [403.0, 2189.0]], ('SUPER', 0.9967114329338074)], [[[1565.0, 2091.0], [2156.0, 2091.0], [2156.0, 2196.0], [1565.0, 2196.0]], ('$4.68', 0.9468584060668945)], [[[219.0, 2434.0], [1168.0, 2434.0], [1168.0, 2536.0], [219.0, 2536.0]], ('Total Sale', 0.9554251432418823)], [[[1565.0, 2441.0], [2159.0, 2441.0], [2159.0, 2547.0], [1565.0, 2547.0]], ('$4.68', 0.9040234684944153)], [[[202.0, 3023.0], [602.0, 3023.0], [602.0, 3131.0], [202.0, 3131.0]], ('SALE', 0.997370719909668)], [[[886.0, 3023.0], [1971.0, 3012.0], [1972.0, 3128.0], [888.0, 3139.0]], ('Card Swiped', 0.9734016060829163)], [[[196.0, 3148.0], [602.0, 3156.0], [600.0, 3261.0], [194.0, 3253.0]], ('Auth', 0.9928035140037537)], [[[1588.0, 3149.0], [2168.0, 3134.0], [2171.0, 3243.0], [1591.0, 3258.0]], ('588747', 0.9969775080680847)], [[[682.0, 3169.0], [772.0, 3169.0], [772.0, 3247.0], [682.0, 3247.0]], ('#', 0.9840180277824402)]]	{"store_name": "store#1695 Casey'sGeneral", "store_addr": "SOLON,IA52333 SOUTHMARKETSTR 203", "telephone": "", "date": "01/16/2015", "time": "05:51", "subtotal": "", "tax": "", "total": "$4.68", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "SUPER", "item_value": "$4.68", "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	[[[[226.0, 131.0], [457.0, 131.0], [457.0, 153.0], [226.0, 153.0]], ('Carmichael CarWash', 0.9644964933395386)], [[[216.0, 158.0], [466.0, 159.0], [465.0, 184.0], [216.0, 183.0]], ('6505 Fair Oaks Blvd', 0.8936613202095032)], [[[207.0, 187.0], [472.0, 191.0], [472.0, 216.0], [207.0, 212.0]], ('Carmichae1,CA 95608', 0.922557532787323)], [[[259.0, 219.0], [420.0, 222.0], [419.0, 247.0], [259.0, 244.0]], ('916-488-3274', 0.9936568737030029)], [[[229.0, 255.0], [453.0, 255.0], [453.0, 280.0], [229.0, 280.0]], ('7/18/20168:10 AM', 0.949722945690155)], [[[150.0, 328.0], [543.0, 319.0], [544.0, 344.0], [151.0, 353.0]], ('YOUR MANAGER TODAY IS:Edgar R', 0.93494713306427)], [[[268.0, 390.0], [423.0, 390.0], [423.0, 439.0], [268.0, 439.0]], ('T31232', 0.9991444945335388)], [[[153.0, 509.0], [411.0, 502.0], [411.0, 527.0], [154.0, 534.0]], ('1 PREMIUM EXPRESS10', 0.9506416320800781)], [[[597.0, 504.0], [669.0, 504.0], [669.0, 531.0], [597.0, 531.0]], ('$9.99', 0.9986051321029663)], [[[153.0, 539.0], [519.0, 533.0], [519.0, 561.0], [154.0, 567.0]], ('1 UNLIMITED PREMIUM WASH CASH', 0.952862024307251)], [[[572.0, 536.0], [666.0, 539.0], [665.0, 568.0], [571.0, 565.0]], ('666$', 0.9934547543525696)], [[[342.0, 598.0], [452.0, 601.0], [451.0, 627.0], [341.0, 624.0]], ('SUBTOTAL:', 0.9868844151496887)], [[[596.0, 606.0], [667.0, 606.0], [667.0, 633.0], [596.0, 633.0]], ('$0.00', 0.9984906911849976)], [[[341.0, 628.0], [417.0, 632.0], [416.0, 659.0], [339.0, 655.0]], ('TAXES:', 0.9827484488487244)], [[[594.0, 639.0], [666.0, 639.0], [666.0, 665.0], [594.0, 665.0]], ('$0.00', 0.9975646734237671)], [[[343.0, 659.0], [417.0, 663.0], [415.0, 690.0], [342.0, 686.0]], ('TOTAL:', 0.9857015609741211)], [[[594.0, 667.0], [664.0, 670.0], [663.0, 697.0], [593.0, 694.0]], ('$0.00', 0.9957422018051147)], [[[345.0, 691.0], [455.0, 697.0], [454.0, 723.0], [344.0, 717.0]], ('TENDERED:', 0.9876525402069092)], [[[594.0, 699.0], [663.0, 701.0], [662.0, 728.0], [593.0, 726.0]], ('$0.00', 0.9975911378860474)], [[[345.0, 724.0], [480.0, 730.0], [479.0, 756.0], [344.0, 750.0]], ('CHANGE DUE:', 0.9318794012069702)], [[[593.0, 731.0], [663.0, 731.0], [663.0, 758.0], [593.0, 758.0]], ('$0.00', 0.9979745149612427)], [[[189.0, 815.0], [531.0, 821.0], [530.0, 846.0], [188.0, 841.0]], ('Please Save Your Receipt for', 0.9398226141929626)], [[[81.0, 848.0], [648.0, 857.0], [647.0, 886.0], [81.0, 876.0]], ('Rewash,Rain Check for Exterior Wash only and', 0.9329246282577515)], [[[114.0, 884.0], [607.0, 896.0], [607.0, 924.0], [114.0, 912.0]], ('valid for 24hrs after it stops raining', 0.9471620321273804)], [[[65.0, 920.0], [665.0, 935.0], [664.0, 963.0], [65.0, 948.0]], ('With purchase of any RainX or Ultimate Express', 0.9325886368751526)], [[[87.0, 959.0], [639.0, 971.0], [639.0, 999.0], [86.0, 987.0]], ('wash receive 1$ off your next visit withir', 0.9141620397567749)]]	{"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"}]}
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	[[[[33.0, 9.0], [83.0, 14.0], [82.0, 29.0], [32.0, 24.0]], ('#111', 0.9879049062728882)], [[[19.0, 22.0], [122.0, 31.0], [120.0, 47.0], [17.0, 39.0]], ('1FISH&SHRIMP', 0.9695146679878235)], [[[176.0, 23.0], [211.0, 27.0], [210.0, 41.0], [174.0, 38.0]], ('OUT', 0.9833469390869141)], [[[42.0, 40.0], [91.0, 44.0], [90.0, 59.0], [41.0, 54.0]], ('SM SLAW', 0.9129524230957031)], [[[188.0, 38.0], [214.0, 40.0], [213.0, 55.0], [186.0, 52.0]], ('7.99', 0.9743144512176514)], [[[18.0, 54.0], [114.0, 61.0], [113.0, 75.0], [17.0, 68.0]], ('13PSTRIPCOMBO', 0.9735814332962036)], [[[37.0, 70.0], [91.0, 74.0], [90.0, 90.0], [36.0, 87.0]], ('SM MASH', 0.9339283108711243)], [[[187.0, 62.0], [218.0, 65.0], [216.0, 84.0], [185.0, 80.0]], ('7.19', 0.9752752184867859)], [[[17.0, 84.0], [66.0, 87.0], [65.0, 104.0], [16.0, 100.0]], ('1SPICY', 0.98746258020401)], [[[79.0, 118.0], [105.0, 118.0], [105.0, 133.0], [79.0, 133.0]], ('TXIL', 0.8530046939849854)], [[[79.0, 130.0], [106.0, 133.0], [104.0, 149.0], [78.0, 146.0]], ('TOTL', 0.9949607849121094)], [[[185.0, 123.0], [213.0, 123.0], [213.0, 138.0], [185.0, 138.0]], ('1.37', 0.9930420517921448)], [[[153.0, 133.0], [213.0, 137.0], [212.0, 154.0], [152.0, 150.0]], ('16.55', 0.9969334602355957)], [[[78.0, 147.0], [105.0, 147.0], [105.0, 163.0], [78.0, 163.0]], ('CASH', 0.9980603456497192)], [[[181.0, 152.0], [214.0, 152.0], [214.0, 167.0], [181.0, 167.0]], ('20.00', 0.992215633392334)], [[[76.0, 163.0], [105.0, 163.0], [105.0, 178.0], [76.0, 178.0]], ('CHNG', 0.9975838661193848)], [[[186.0, 166.0], [215.0, 168.0], [214.0, 184.0], [184.0, 181.0]], ('3.45', 0.9943329691886902)], [[[112.0, 177.0], [161.0, 180.0], [161.0, 198.0], [111.0, 195.0]], ('POPEYES', 0.9916356801986694)], [[[3.0, 189.0], [53.0, 192.0], [52.0, 209.0], [2.0, 207.0]], ('JOCELYN', 0.9941152334213257)], [[[12.0, 208.0], [228.0, 214.0], [227.0, 231.0], [12.0, 224.0]], ('0148 17:54 #09 OCT.3114 REG0001', 0.8953502774238586)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "OCT.31'14", "time": "17:54", "subtotal": "", "tax": "1.37", "total": "16.55", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "FISH&SHRIMP", "item_value": "7.99", "item_quantity": "1"}, {"item_key": "", "item_name": "SMSLAW", "item_value": "7.19", "item_quantity": "1"}, {"item_key": "", "item_name": "3PSTRIPCOMBO", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "SMMASH", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "SPICY", "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	[[[[129.0, 24.0], [228.0, 21.0], [228.0, 38.0], [130.0, 41.0]], ('LEDO PIZZA #206', 0.9114797115325928)], [[[122.0, 40.0], [240.0, 37.0], [240.0, 54.0], [123.0, 57.0]], ('577Johnsvi1le Road', 0.9210647940635681)], [[[117.0, 55.0], [245.0, 52.0], [245.0, 69.0], [117.0, 72.0]], ('Eldersburg.MD 21784', 0.9205109477043152)], [[[136.0, 70.0], [226.0, 68.0], [226.0, 85.0], [136.0, 88.0]], ('410552-4000', 0.9608011245727539)], [[[55.0, 98.0], [151.0, 101.0], [151.0, 118.0], [54.0, 115.0]], ('Server:Micayla', 0.95478355884552)], [[[234.0, 99.0], [309.0, 96.0], [309.0, 113.0], [235.0, 116.0]], ('Station:24', 0.9227534532546997)], [[[54.0, 127.0], [150.0, 130.0], [150.0, 147.0], [53.0, 145.0]], ('Order229771', 0.9843976497650146)], [[[259.0, 129.0], [310.0, 129.0], [310.0, 146.0], [259.0, 146.0]], ('Dine In', 0.9335275292396545)], [[[56.0, 147.0], [115.0, 147.0], [115.0, 161.0], [56.0, 161.0]], ('Table:A4', 0.9163638353347778)], [[[249.0, 147.0], [309.0, 147.0], [309.0, 161.0], [249.0, 161.0]], ('Guests:1', 0.9419604539871216)], [[[55.0, 177.0], [206.0, 177.0], [206.0, 191.0], [55.0, 191.0]], ('1 SOUP,SALAD BREADSTICKS', 0.9330782294273376)], [[[280.0, 176.0], [309.0, 176.0], [309.0, 192.0], [280.0, 192.0]], ('7.99', 0.9588190913200378)], [[[67.0, 193.0], [88.0, 193.0], [88.0, 205.0], [67.0, 205.0]], ('SOD', 0.9913444519042969)], [[[54.0, 207.0], [205.0, 207.0], [205.0, 221.0], [54.0, 221.0]], ('1 SOUPSALAD BREADSTICKS', 0.9563866257667542)], [[[279.0, 202.0], [312.0, 205.0], [310.0, 224.0], [277.0, 222.0]], ('7.99', 0.9394152164459229)], [[[65.0, 220.0], [164.0, 223.0], [163.0, 240.0], [65.0, 237.0]], ('Italian Wedding', 0.9378702640533447)], [[[52.0, 252.0], [119.0, 252.0], [119.0, 269.0], [52.0, 269.0]], ('SUB TOTAL', 0.943577766418457)], [[[275.0, 254.0], [308.0, 254.0], [308.0, 269.0], [275.0, 269.0]], ('15.98', 0.9528711438179016)], [[[53.0, 269.0], [93.0, 269.0], [93.0, 284.0], [53.0, 284.0]], ('Tax1:', 0.8950843811035156)], [[[279.0, 270.0], [309.0, 270.0], [309.0, 285.0], [279.0, 285.0]], ('0.96', 0.8610750436782837)], [[[279.0, 285.0], [310.0, 285.0], [310.0, 302.0], [279.0, 302.0]], ('0.00', 0.9789878726005554)], [[[257.0, 303.0], [308.0, 303.0], [308.0, 314.0], [257.0, 314.0]], ('SESSESSE', 0.7292795777320862)], [[[51.0, 314.0], [93.0, 314.0], [93.0, 332.0], [51.0, 332.0]], ('TOTAL:', 0.9844270348548889)], [[[266.0, 315.0], [310.0, 315.0], [310.0, 333.0], [266.0, 333.0]], ('$16.94', 0.9465741515159607)], [[[120.0, 345.0], [231.0, 347.0], [231.0, 364.0], [120.0, 363.0]], ('T1cket6', 0.7689334154129028)], [[[108.0, 362.0], [245.0, 364.0], [245.0, 381.0], [108.0, 379.0]], ('9/20/201411:52:42AM', 0.9106917381286621)], [[[51.0, 393.0], [225.0, 396.0], [225.0, 413.0], [51.0, 410.0]], ('Thank You for your business', 0.9505137205123901)]]	{"store_name": "LEDOPIZZA#208", "store_addr": "577JohnsvilleRoad Eldersburg,MD21784", "telephone": "(410)552-4000", "date": "9/20/2014", "time": "11:52:42AM", "subtotal": "15.98", "tax": "0.96 0.00", "total": "$16.94", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "SOUP,SALADBREADSTICXS", "item_value": "7.99", "item_quantity": "1"}, {"item_key": "", "item_name": "SOD", "item_value": "7.99", "item_quantity": "1"}, {"item_key": "", "item_name": "SOUP,SALADBREADSTICKS", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "ItalianWedding", "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	[[[[251.0, 137.0], [357.0, 137.0], [357.0, 154.0], [251.0, 154.0]], ('TAX INVOICE', 0.9442610144615173)], [[[224.0, 157.0], [383.0, 157.0], [383.0, 177.0], [224.0, 177.0]], ('ABN:47831255770', 0.9710747599601746)], [[[86.0, 190.0], [225.0, 196.0], [224.0, 221.0], [85.0, 214.0]], ('Qty Size Item', 0.9381132125854492)], [[[438.0, 195.0], [494.0, 195.0], [494.0, 217.0], [438.0, 217.0]], ('Price', 0.9952526092529297)], [[[105.0, 242.0], [121.0, 242.0], [121.0, 261.0], [105.0, 261.0]], ('1', 0.963201105594635)], [[[146.0, 242.0], [403.0, 242.0], [403.0, 266.0], [146.0, 266.0]], ('6Egg & Cheese Bkfst Sub', 0.9330670833587646)], [[[440.0, 239.0], [496.0, 236.0], [497.0, 258.0], [441.0, 261.0]], ('$4.55', 0.9923700094223022)], [[[104.0, 266.0], [120.0, 266.0], [120.0, 285.0], [104.0, 285.0]], ('1', 0.9790055155754089)], [[[177.0, 265.0], [314.0, 270.0], [313.0, 294.0], [176.0, 289.0]], ('Bott led Juice', 0.9646421074867249)], [[[432.0, 263.0], [496.0, 260.0], [497.0, 282.0], [433.0, 284.0]], ('$3.50', 0.8952155709266663)], [[[83.0, 310.0], [181.0, 312.0], [180.0, 336.0], [83.0, 333.0]], ('Sub Total', 0.9356017708778381)], [[[432.0, 309.0], [489.0, 305.0], [491.0, 330.0], [434.0, 335.0]], ('$7.64', 0.9083473086357117)], [[[82.0, 333.0], [232.0, 338.0], [231.0, 362.0], [81.0, 357.0]], ('Taxable Amount', 0.9661802053451538)], [[[432.0, 334.0], [490.0, 331.0], [491.0, 356.0], [433.0, 360.0]], ('$4.14', 0.9954678416252136)], [[[83.0, 358.0], [182.0, 362.0], [181.0, 383.0], [82.0, 379.0]], ('GST 10%', 0.931361973285675)], [[[436.0, 359.0], [489.0, 359.0], [489.0, 382.0], [436.0, 382.0]], ('$0.41', 0.9959503412246704)], [[[82.0, 381.0], [232.0, 386.0], [231.0, 408.0], [81.0, 402.0]], ('Total Eat In', 0.9298332333564758)], [[[436.0, 383.0], [491.0, 380.0], [492.0, 402.0], [437.0, 405.0]], ('$8.05', 0.9024297595024109)], [[[79.0, 401.0], [131.0, 404.0], [129.0, 430.0], [78.0, 427.0]], ('Cash', 0.9970716834068298)], [[[427.0, 406.0], [492.0, 404.0], [493.0, 425.0], [428.0, 428.0]], ('$20.00', 0.9956676959991455)], [[[80.0, 428.0], [149.0, 431.0], [149.0, 453.0], [79.0, 451.0]], ('Change', 0.9980874061584473)], [[[429.0, 427.0], [496.0, 426.0], [497.0, 448.0], [429.0, 450.0]], ('$11.95', 0.9934853911399841)], [[[78.0, 453.0], [294.0, 453.0], [294.0, 478.0], [78.0, 478.0]], ('Items non taxed.', 0.9429510831832886)], [[[79.0, 504.0], [403.0, 499.0], [403.0, 523.0], [79.0, 528.0]], ('We believe in EQUALITY for ALL', 0.9131057262420654)], [[[79.0, 531.0], [208.0, 527.0], [209.0, 552.0], [80.0, 556.0]], ('Australians', 0.9867419600486755)], [[[76.0, 582.0], [247.0, 579.0], [247.0, 603.0], [76.0, 607.0]], ('What about you?', 0.9415500164031982)], [[[72.0, 634.0], [429.0, 629.0], [429.0, 657.0], [73.0, 662.0]], ('Vote "YEs in the Postal Survey', 0.872080385684967)], [[[69.0, 693.0], [525.0, 682.0], [526.0, 709.0], [69.0, 720.0]], ("Do it because it's the right thing to do", 0.938066840171814)], [[[105.0, 728.0], [231.0, 724.0], [231.0, 736.0], [105.0, 740.0]], ('----', 0.5214360356330872)], [[[65.0, 783.0], [435.0, 767.0], [436.0, 792.0], [66.0, 808.0]], ('Host Order ID:SPM20170904095648', 0.9477809071540833)], [[[61.0, 842.0], [529.0, 823.0], [531.0, 851.0], [63.0, 870.0]], ('Get a FREE cookie when you take our Tell', 0.9135414361953735)], [[[58.0, 873.0], [489.0, 853.0], [490.0, 885.0], [59.0, 904.0]], ('Subway survey within the next 7 days', 0.9424744844436646)], [[[55.0, 906.0], [414.0, 889.0], [415.0, 920.0], [57.0, 936.0]], ('www.subway.com.au/tell-subway', 0.9596678018569946)]]	{"store_name": "Subway#32217-0", "store_addr": "CranbourneparkShoppingCentreHiighStr", "telephone": "035-995-4739", "date": "04/09/2017", "time": "09:56:48", "subtotal": "$7.64", "tax": "$0.41", "total": "$8.05", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "BottledJuice", "item_value": "$3.50*", "item_quantity": "1"}, {"item_key": "", "item_name": "6\"Egg&CheeseBkfstSub", "item_value": "$4.55", "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	[[[[72.0, 12.0], [210.0, 10.0], [210.0, 30.0], [72.0, 33.0]], ('WAITROSE', 0.9971539974212646)], [[[89.0, 34.0], [194.0, 32.0], [194.0, 49.0], [89.0, 50.0]], ('&PARTNERS', 0.9876402616500854)], [[[62.0, 84.0], [237.0, 78.0], [237.0, 92.0], [62.0, 98.0]], ('Gui 1dford 589:01483 453968', 0.8871595859527588)], [[[63.0, 104.0], [230.0, 99.0], [231.0, 112.0], [63.0, 118.0]], ('w.uaitrose.com/guildford', 0.8668771386146545)], [[[240.0, 138.0], [271.0, 136.0], [272.0, 150.0], [241.0, 152.0]], ('0.10', 0.9917404651641846)], [[[248.0, 129.0], [257.0, 129.0], [257.0, 139.0], [248.0, 139.0]], ('E', 0.7598955035209656)], [[[31.0, 143.0], [175.0, 139.0], [175.0, 153.0], [32.0, 157.0]], ('VR&P BAG FOR LIFE UK', 0.9103525280952454)], [[[47.0, 154.0], [93.0, 154.0], [93.0, 165.0], [47.0, 165.0]], ('CARROTS', 0.910340428352356)], [[[240.0, 149.0], [271.0, 147.0], [272.0, 161.0], [241.0, 164.0]], ('0.38', 0.9868596196174622)], [[[45.0, 165.0], [175.0, 161.0], [175.0, 174.0], [45.0, 179.0]], ('WR SEMI SKIMMED MILK', 0.9176145792007446)], [[[241.0, 160.0], [272.0, 160.0], [272.0, 174.0], [241.0, 174.0]], ('0.50', 0.9800523519515991)], [[[47.0, 177.0], [90.0, 177.0], [90.0, 187.0], [47.0, 187.0]], ('SNOINO', 0.961607038974762)], [[[240.0, 171.0], [271.0, 168.0], [272.0, 182.0], [241.0, 185.0]], ('0.67', 0.9540223479270935)], [[[45.0, 188.0], [156.0, 182.0], [157.0, 196.0], [45.0, 201.0]], ('ROYAL GALA APPLES', 0.9417574405670166)], [[[242.0, 182.0], [273.0, 182.0], [273.0, 195.0], [242.0, 195.0]], ('0.29', 0.9954351782798767)], [[[47.0, 198.0], [100.0, 197.0], [101.0, 208.0], [47.0, 209.0]], ('WR LEMON', 0.9332685470581055)], [[[242.0, 192.0], [272.0, 189.0], [273.0, 204.0], [243.0, 207.0]], ('0.39', 0.992563009262085)], [[[46.0, 208.0], [144.0, 206.0], [144.0, 219.0], [46.0, 221.0]], ('WR LARGE ORANGE', 0.9441947937011719)], [[[243.0, 202.0], [273.0, 202.0], [273.0, 216.0], [243.0, 216.0]], ('0.59', 0.994613528251648)], [[[46.0, 218.0], [170.0, 216.0], [170.0, 230.0], [46.0, 232.0]], ('R ESS HR SLD AVCDO', 0.8780559301376343)], [[[243.0, 214.0], [273.0, 214.0], [273.0, 228.0], [243.0, 228.0]], ('0.90', 0.9910027980804443)], [[[45.0, 230.0], [170.0, 227.0], [170.0, 240.0], [45.0, 243.0]], ('WR ESS HR SLD AVCDO', 0.8749813437461853)], [[[244.0, 225.0], [273.0, 225.0], [273.0, 239.0], [244.0, 239.0]], ('060', 0.9378250241279602)], [[[46.0, 241.0], [159.0, 238.0], [159.0, 250.0], [46.0, 254.0]], ('FAIRTRADE BANANAS', 0.943023681640625)], [[[243.0, 236.0], [274.0, 233.0], [275.0, 248.0], [244.0, 251.0]], ('0.15', 0.9928691983222961)], [[[46.0, 252.0], [146.0, 248.0], [146.0, 261.0], [46.0, 265.0]], ('NY PLAIN BAGELS', 0.9352906346321106)], [[[246.0, 247.0], [274.0, 247.0], [274.0, 260.0], [246.0, 260.0]], ('1.60', 0.9918214678764343)], [[[47.0, 263.0], [135.0, 259.0], [135.0, 272.0], [47.0, 275.0]], ('GREEN PEPPERS', 0.9541874527931213)], [[[243.0, 259.0], [275.0, 256.0], [276.0, 270.0], [245.0, 273.0]], ('0.55', 0.8799573183059692)], [[[47.0, 273.0], [156.0, 270.0], [156.0, 284.0], [47.0, 287.0]], ('MALTED WHEAT ROLL', 0.9309442639350891)], [[[243.0, 270.0], [275.0, 267.0], [276.0, 282.0], [245.0, 284.0]], ('0.50', 0.9934864044189453)], [[[48.0, 284.0], [169.0, 281.0], [169.0, 294.0], [48.0, 297.0]], ('WR PAIN AU CHOCOLAT', 0.8796895742416382)], [[[246.0, 280.0], [276.0, 280.0], [276.0, 294.0], [246.0, 294.0]], ('0.95', 0.9947673082351685)], [[[50.0, 303.0], [105.0, 303.0], [105.0, 314.0], [50.0, 314.0]], ('141tems', 0.9325984120368958)], [[[48.0, 313.0], [121.0, 311.0], [122.0, 324.0], [48.0, 327.0]], ('BALANCE DE', 0.911878764629364)], [[[241.0, 310.0], [278.0, 310.0], [278.0, 324.0], [241.0, 324.0]], ('8.47', 0.9943068027496338)], [[[49.0, 331.0], [115.0, 327.0], [116.0, 341.0], [49.0, 345.0]], ('Visa Debit', 0.9542423486709595)], [[[241.0, 329.0], [278.0, 329.0], [278.0, 342.0], [241.0, 342.0]], ('8.47', 0.9926282167434692)], [[[50.0, 347.0], [93.0, 347.0], [93.0, 361.0], [50.0, 361.0]], ('CHANGE', 0.9897181987762451)], [[[244.0, 348.0], [278.0, 345.0], [280.0, 360.0], [246.0, 362.0]], ('0.00', 0.9901803731918335)], [[[113.0, 363.0], [187.0, 364.0], [186.0, 378.0], [113.0, 377.0]], ('VAT SUMMARY', 0.9582653045654297)], [[[32.0, 377.0], [62.0, 377.0], [62.0, 391.0], [32.0, 391.0]], ('Rate', 0.9953854084014893)], [[[111.0, 375.0], [137.0, 375.0], [137.0, 390.0], [111.0, 390.0]], ('Net', 0.9835913181304932)], [[[104.0, 387.0], [137.0, 387.0], [137.0, 401.0], [104.0, 401.0]], ('8.37', 0.9683865308761597)], [[[176.0, 378.0], [200.0, 378.0], [200.0, 390.0], [176.0, 390.0]], ('VAT', 0.9765920639038086)], [[[169.0, 388.0], [201.0, 388.0], [201.0, 402.0], [169.0, 402.0]], ('0.00', 0.9869205951690674)], [[[243.0, 379.0], [278.0, 379.0], [278.0, 390.0], [243.0, 390.0]], ('brssg', 0.5042305588722229)], [[[36.0, 390.0], [68.0, 390.0], [68.0, 401.0], [36.0, 401.0]], ('0.0%', 0.9124441742897034)], [[[107.0, 397.0], [137.0, 397.0], [137.0, 411.0], [107.0, 411.0]], ('800', 0.9430480003356934)], [[[170.0, 397.0], [201.0, 400.0], [200.0, 415.0], [169.0, 412.0]], ('0.02', 0.9671218395233154)], [[[245.0, 389.0], [279.0, 386.0], [280.0, 400.0], [246.0, 403.0]], ('8.37', 0.9208277463912964)], [[[33.0, 401.0], [67.0, 401.0], [67.0, 411.0], [33.0, 411.0]], ('20.0%', 0.9850797653198242)], [[[249.0, 399.0], [280.0, 399.0], [280.0, 413.0], [249.0, 413.0]], ('0.10', 0.993230938911438)], [[[33.0, 410.0], [75.0, 410.0], [75.0, 424.0], [33.0, 424.0]], ('Totals', 0.9961339831352234)], [[[170.0, 409.0], [201.0, 412.0], [200.0, 427.0], [169.0, 424.0]], ('0.02', 0.9864761233329773)], [[[249.0, 410.0], [280.0, 410.0], [280.0, 424.0], [249.0, 424.0]], ('8.47', 0.9979644417762756)], [[[1.0, 421.0], [189.0, 425.0], [188.0, 441.0], [1.0, 438.0]], ('SWNSCARDHOLDER COPY ', 0.8717620968818665)]]	{"store_name": "WAITROSE &PARTNERS", "store_addr": "Guildford", "telephone": "589:01483453968", "date": "", "time": "", "subtotal": "8.37 8.37", "tax": "0.08 0.00 0.02 0.02 0.10", "total": "8.47 \u00a38.47 \u00a38.47", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "VWR&PBAGFORLIFEUK", "item_value": "0.10", "item_quantity": "1"}, {"item_key": "", "item_name": "CARROTS", "item_value": "0.38", "item_quantity": "1"}, {"item_key": "", "item_name": "WRSEMISKIMMEDMILK", "item_value": "0.50", "item_quantity": "1"}, {"item_key": "", "item_name": "ONIONS", "item_value": "0.67", "item_quantity": "1"}, {"item_key": "", "item_name": "AOYALGALAAPPLES", "item_value": "0.29", "item_quantity": "1"}, {"item_key": "", "item_name": "WRLEMON", "item_value": "0.39", "item_quantity": "1"}, {"item_key": "", "item_name": "WRLARGEORANGE", "item_value": "0.59", "item_quantity": "1"}, {"item_key": "", "item_name": "WRESSHRSLDAVCDO", "item_value": "0.90", "item_quantity": "1"}, {"item_key": "", "item_name": "WRESSHRSLDAVCDO", "item_value": "0.90", "item_quantity": "1"}, {"item_key": "", "item_name": "FAIRTAFOEBANANAS", "item_value": "0.15", "item_quantity": "1"}, {"item_key": "", "item_name": "NYPLAINBAGELS", "item_value": "1.60", "item_quantity": "1"}, {"item_key": "", "item_name": "GAEENPEPPERS", "item_value": "0.55", "item_quantity": "1"}, {"item_key": "", "item_name": "MALTEDWHEATROLL", "item_value": "0.50", "item_quantity": "1"}, {"item_key": "", "item_name": "WRPAINAUCHOCOLAT", "item_value": "0.95", "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	[[[[117.0, 48.0], [196.0, 48.0], [196.0, 65.0], [117.0, 65.0]], ('TEXASBRAZI', 0.9199239611625671)], [[[125.0, 63.0], [189.0, 63.0], [189.0, 73.0], [125.0, 73.0]], ('CHUREAECXNIAS', 0.670669436454773)], [[[132.0, 89.0], [176.0, 92.0], [176.0, 106.0], [131.0, 103.0]], ('ARUBA', 0.9949876070022583)], [[[72.0, 131.0], [108.0, 131.0], [108.0, 141.0], [72.0, 141.0]], ('Chk9482', 0.8897756934165955)], [[[151.0, 130.0], [172.0, 130.0], [172.0, 141.0], [151.0, 141.0]], ('01', 0.6154778599739075)], [[[214.0, 129.0], [246.0, 129.0], [246.0, 143.0], [214.0, 143.0]], ('st2', 0.9504379630088806)], [[[124.0, 140.0], [194.0, 140.0], [194.0, 151.0], [124.0, 151.0]], ('Jan131506:56PM', 0.9323342442512512)], [[[78.0, 159.0], [109.0, 159.0], [109.0, 169.0], [78.0, 169.0]], ('2.COKE', 0.8668465614318848)], [[[211.0, 165.0], [236.0, 168.0], [235.0, 179.0], [210.0, 176.0]], ('3.50', 0.9623348712921143)], [[[213.0, 157.0], [235.0, 157.0], [235.0, 169.0], [213.0, 169.0]], ('7.00', 0.9808326363563538)], [[[75.0, 176.0], [152.0, 176.0], [152.0, 189.0], [75.0, 189.0]], ('20INNER 44.93', 0.8269969820976257)], [[[78.0, 168.0], [121.0, 168.0], [121.0, 179.0], [78.0, 179.0]], ('1D.COKE', 0.8521794080734253)], [[[210.0, 177.0], [236.0, 177.0], [236.0, 188.0], [210.0, 188.0]], ('8669', 0.9643059968948364)], [[[84.0, 197.0], [141.0, 197.0], [141.0, 207.0], [84.0, 207.0]], ('CRIGINAL TTL', 0.8940839767456055)], [[[206.0, 194.0], [238.0, 196.0], [237.0, 209.0], [205.0, 207.0]], ('100.48', 0.9388980865478516)], [[[83.0, 207.0], [121.0, 207.0], [121.0, 218.0], [83.0, 218.0]], ('15%SVC', 0.8913437724113464)], [[[213.0, 205.0], [239.0, 205.0], [239.0, 218.0], [213.0, 218.0]], ('15.07', 0.9862497448921204)], [[[81.0, 217.0], [142.0, 217.0], [142.0, 228.0], [81.0, 228.0]], ('TAX B80/BAZV', 0.7858265042304993)], [[[215.0, 215.0], [239.0, 215.0], [239.0, 227.0], [215.0, 227.0]], ('2.89', 0.9818137884140015)], [[[61.0, 227.0], [160.0, 226.0], [160.0, 237.0], [61.0, 238.0]], ('07:41PM TOTALUSUS', 0.8099429607391357)], [[[183.0, 226.0], [238.0, 226.0], [238.0, 237.0], [183.0, 237.0]], ('118.44', 0.9964020848274231)], [[[93.0, 247.0], [218.0, 247.0], [218.0, 260.0], [93.0, 260.0]], ('ALL OUR PRICES ARE IN USS', 0.9160314798355103)], [[[87.0, 258.0], [214.0, 258.0], [214.0, 271.0], [87.0, 271.0]], ('THANK YOU FOR JOINING US', 0.9002460837364197)], [[[76.0, 281.0], [232.0, 281.0], [232.0, 295.0], [76.0, 295.0]], ('15% Service Charge is included', 0.9203468561172485)], [[[73.0, 294.0], [236.0, 294.0], [236.0, 307.0], [73.0, 307.0]], ('and is distributed among staff', 0.9648513793945312)], [[[281.0, 306.0], [336.0, 306.0], [336.0, 320.0], [281.0, 320.0]], ('our e', 0.9144850969314575)], [[[72.0, 320.0], [164.0, 320.0], [164.0, 333.0], [72.0, 333.0]], ('Join our e-Club', 0.9077602028846741)], [[[69.0, 334.0], [219.0, 332.0], [219.0, 347.0], [69.0, 348.0]], ('Ask your server for details', 0.9434104561805725)], [[[282.0, 330.0], [336.0, 330.0], [336.0, 342.0], [282.0, 342.0]], ('forward to e', 0.9443101286888123)], [[[283.0, 343.0], [335.0, 343.0], [335.0, 354.0], [283.0, 354.0]], ('d right into', 0.9193000197410583)], [[[284.0, 356.0], [333.0, 356.0], [333.0, 367.0], [284.0, 367.0]], ('brazil.com', 0.9574148058891296)], [[[88.0, 392.0], [210.0, 390.0], [210.0, 404.0], [88.0, 406.0]], ('www.texasdebrazil.com', 0.9257670640945435)]]	{"store_name": "ARUBA", "store_addr": "", "telephone": "", "date": "Jan13'15", "time": "07:41PM", "subtotal": "100.48", "tax": "2.89", "total": "118.44", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "COKE", "item_value": "7.00", "item_quantity": "1"}, {"item_key": "", "item_name": "D.COKE", "item_value": "3.50", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "69.98", "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	[[[[169.0, 118.0], [319.0, 141.0], [316.0, 158.0], [166.0, 135.0]], ('2420 Jackson Avenue', 0.9555254578590393)], [[[134.0, 129.0], [338.0, 158.0], [335.0, 178.0], [131.0, 149.0]], ('Long Island City,NY 11101', 0.9298180341720581)], [[[192.0, 155.0], [290.0, 168.0], [288.0, 185.0], [190.0, 172.0]], ('718-361-0707', 0.9937748908996582)], [[[64.0, 179.0], [176.0, 188.0], [174.0, 207.0], [62.0, 198.0]], ('Order #526/1', 0.93255215883255)], [[[62.0, 198.0], [167.0, 208.0], [165.0, 228.0], [60.0, 218.0]], ('2499/1OSM', 0.9665439128875732)], [[[198.0, 191.0], [284.0, 202.0], [282.0, 219.0], [196.0, 208.0]], ('02/17/13-A', 0.9945088624954224)], [[[301.0, 205.0], [389.0, 219.0], [386.0, 237.0], [298.0, 223.0]], ('1:31pm', 0.9227809906005859)], [[[295.0, 224.0], [390.0, 236.0], [388.0, 253.0], [293.0, 241.0]], ('LoC#T-02', 0.8190195560455322)], [[[59.0, 241.0], [179.0, 249.0], [178.0, 267.0], [58.0, 259.0]], ('1..BLUE PLATE', 0.9413439035415649)], [[[57.0, 263.0], [179.0, 269.0], [178.0, 289.0], [56.0, 283.0]], ('1..CHAILATTE', 0.9679760336875916)], [[[353.0, 266.0], [396.0, 270.0], [394.0, 288.0], [351.0, 284.0]], ('14.00', 0.9958956837654114)], [[[361.0, 286.0], [396.0, 288.0], [395.0, 307.0], [360.0, 305.0]], ('4.00', 0.9968417882919312)], [[[228.0, 312.0], [276.0, 318.0], [273.0, 340.0], [225.0, 334.0]], ('Items', 0.9886037707328796)], [[[358.0, 325.0], [400.0, 327.0], [399.0, 346.0], [357.0, 344.0]], ('18.00', 0.9965230226516724)], [[[242.0, 336.0], [274.0, 341.0], [271.0, 361.0], [239.0, 356.0]], ('Tax', 0.9897255897521973)], [[[365.0, 345.0], [401.0, 347.0], [400.0, 367.0], [364.0, 365.0]], ('1.60', 0.9282631278038025)], [[[124.0, 355.0], [268.0, 360.0], [267.0, 381.0], [123.0, 376.0]], ('Subtotal', 0.9950087070465088)], [[[321.0, 363.0], [401.0, 366.0], [400.0, 387.0], [320.0, 384.0]], ('19.60', 0.9934269785881042)], [[[240.0, 402.0], [273.0, 405.0], [271.0, 430.0], [237.0, 427.0]], ('Tip', 0.9973558783531189)], [[[223.0, 453.0], [272.0, 453.0], [272.0, 476.0], [223.0, 476.0]], ('TOTAL', 0.9984785914421082)], [[[25.0, 508.0], [309.0, 503.0], [309.0, 527.0], [25.0, 532.0]], ('1.MC/xxxxxxxxxxxx2396/XXXXS', 0.741797924041748)], [[[338.0, 503.0], [412.0, 501.0], [412.0, 522.0], [338.0, 524.0]], ('A85016P', 0.992238461971283)], [[[39.0, 536.0], [346.0, 527.0], [347.0, 554.0], [40.0, 563.0]], ('LAMJASNJ 5088 02/17 13:32', 0.9232409000396729)], [[[365.0, 527.0], [415.0, 527.0], [415.0, 549.0], [365.0, 549.0]], ('19.60', 0.9941037893295288)], [[[86.0, 597.0], [351.0, 579.0], [353.0, 605.0], [88.0, 623.0]], ('Customer Copy', 0.978831946849823)]]	{"store_name": "SageGeneralStore", "store_addr": "2420JacksonAvenue LongIslandCity,NY11101", "telephone": "718-361-0707", "date": "02/17/13-A 02/17", "time": "13:32", "subtotal": "18.00", "tax": "1.60", "total": "19.60 19.60", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "BLUEPLATE", "item_value": "14.00", "item_quantity": "1"}, {"item_key": "", "item_name": "CHAILATTE", "item_value": "4.00", "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	[[[[42.0, 8.0], [68.0, 11.0], [67.0, 19.0], [41.0, 15.0]], ('2330', 0.9499948620796204)], [[[59.0, 3.0], [91.0, 5.0], [90.0, 15.0], [58.0, 13.0]], ('1263', 0.9924789071083069)], [[[117.0, 1.0], [138.0, 1.0], [138.0, 8.0], [117.0, 8.0]], ('TENT', 0.8488592505455017)], [[[139.0, 2.0], [169.0, 2.0], [169.0, 9.0], [139.0, 9.0]], ('"CROU', 0.7614778280258179)], [[[39.0, 13.0], [110.0, 19.0], [109.0, 33.0], [38.0, 27.0]], ('HUNTINGTON', 0.9864042401313782)], [[[87.0, 14.0], [99.0, 14.0], [99.0, 21.0], [87.0, 21.0]], ('SL', 0.9299932718276978)], [[[95.0, 12.0], [158.0, 14.0], [158.0, 25.0], [95.0, 22.0]], ('LAUSON AVE', 0.9542927742004395)], [[[109.0, 21.0], [171.0, 21.0], [171.0, 42.0], [109.0, 42.0]], ('P6876548', 0.6428104639053345)], [[[111.0, 21.0], [141.0, 23.0], [140.0, 30.0], [111.0, 29.0]], ('PARK', 0.9934731125831604)], [[[40.0, 45.0], [68.0, 48.0], [66.0, 60.0], [39.0, 56.0]], ('6713', 0.9965230822563171)], [[[40.0, 56.0], [67.0, 56.0], [67.0, 66.0], [40.0, 66.0]], ('VISA', 0.9874837398529053)], [[[42.0, 68.0], [87.0, 73.0], [86.0, 83.0], [41.0, 79.0]], ('INVOICE', 0.9948824048042297)], [[[43.0, 80.0], [67.0, 80.0], [67.0, 87.0], [43.0, 87.0]], ('AUTH', 0.9398475289344788)], [[[93.0, 72.0], [130.0, 74.0], [129.0, 85.0], [93.0, 83.0]], ('082201', 0.9705174565315247)], [[[41.0, 86.0], [155.0, 86.0], [155.0, 96.0], [41.0, 96.0]], ('REF7002e1121170022', 0.9065050482749939)], [[[38.0, 109.0], [103.0, 111.0], [102.0, 124.0], [38.0, 122.0]], ('PRYCE/CAL', 0.8759288191795349)], [[[40.0, 101.0], [76.0, 101.0], [76.0, 110.0], [40.0, 110.0]], ('PUMPS', 0.9045202136039734)], [[[79.0, 101.0], [88.0, 101.0], [88.0, 109.0], [79.0, 109.0]], ('5', 0.5776250958442688)], [[[125.0, 108.0], [170.0, 104.0], [171.0, 114.0], [125.0, 117.0]], ('10.019', 0.9554629325866699)], [[[130.0, 115.0], [171.0, 111.0], [172.0, 122.0], [130.0, 125.0]], ('$3.499', 0.9519999027252197)], [[[35.0, 126.0], [108.0, 124.0], [109.0, 137.0], [35.0, 139.0]], ('FUEL TOTAL', 0.9478477239608765)], [[[139.0, 127.0], [174.0, 127.0], [174.0, 138.0], [139.0, 138.0]], ('35.06', 0.9793733358383179)], [[[35.0, 142.0], [82.0, 139.0], [82.0, 153.0], [36.0, 155.0]], ('CREDIT', 0.9954964518547058)], [[[141.0, 141.0], [176.0, 141.0], [176.0, 151.0], [141.0, 151.0]], ('3996', 0.5366623401641846)], [[[33.0, 167.0], [112.0, 164.0], [113.0, 177.0], [34.0, 180.0]], ('SIPE Ex.ate', 0.660053014755249)], [[[36.0, 158.0], [77.0, 158.0], [77.0, 169.0], [36.0, 169.0]], ('COMPLETION', 0.9581178426742554)], [[[32.0, 176.0], [116.0, 173.0], [116.0, 185.0], [33.0, 189.0]], ('Batch78 Seq Nan28', 0.8326538801193237)], [[[32.0, 194.0], [79.0, 192.0], [79.0, 203.0], [33.0, 205.0]], ('ZIP ENTERED', 0.9101793169975281)], [[[33.0, 187.0], [77.0, 183.0], [77.0, 194.0], [34.0, 198.0]], ('901', 0.6021926403045654)], [[[31.0, 203.0], [106.0, 198.0], [107.0, 212.0], [32.0, 217.0]], ('Horkstation ID:', 0.7713330388069153)], [[[31.0, 212.0], [84.0, 210.0], [84.0, 222.0], [32.0, 225.0]], ('Your cpinion', 0.8808166980743408)], [[[32.0, 221.0], [102.0, 218.0], [103.0, 231.0], [33.0, 235.0]], ('counts Enter to', 0.9227527976036072)], [[[32.0, 230.0], [98.0, 226.0], [99.0, 240.0], [33.0, 243.0]], ('in1f 60s25', 0.7133517861366272)], [[[33.0, 242.0], [101.0, 235.0], [102.0, 248.0], [35.0, 249.0]], ('9as gift.cds', 0.6893041133880615)]]	{"store_name": "", "store_addr": "2338ESLAUSONAVE HUNTINGTONPARK,CA", "telephone": "460765545", "date": "", "time": "08:24:11AM", "subtotal": "", "tax": "", "total": "$35.06 $35.06", "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	[[[[280.0, 8.0], [480.0, 34.0], [478.0, 49.0], [278.0, 23.0]], ('Muscat City Centre', 0.9269406795501709)], [[[301.0, 0.0], [466.0, 19.0], [465.0, 34.0], [299.0, 14.0]], ('The Noodle Hosise', 0.7868248820304871)], [[[298.0, 24.0], [470.0, 44.0], [468.0, 63.0], [296.0, 42.0]], ('Phone#24558377', 0.9713024497032166)], [[[179.0, 42.0], [298.0, 58.0], [295.0, 78.0], [176.0, 61.0]], ('1012Jeanny', 0.9928487539291382)], [[[157.0, 76.0], [250.0, 87.0], [247.0, 110.0], [154.0, 98.0]], ('Tb160/1', 0.9635295867919922)], [[[339.0, 100.0], [429.0, 110.0], [427.0, 130.0], [336.0, 119.0]], ('Chk 9662', 0.9393631219863892)], [[[294.0, 115.0], [473.0, 134.0], [471.0, 153.0], [292.0, 134.0]], ("Jan13'1007:27PM", 0.9314834475517273)], [[[544.0, 124.0], [602.0, 131.0], [599.0, 150.0], [541.0, 143.0]], ('Gst 4', 0.8706002235412598)], [[[166.0, 140.0], [336.0, 157.0], [333.0, 179.0], [164.0, 161.0]], ('2 S&P Calamari', 0.9435374140739441)], [[[164.0, 164.0], [336.0, 181.0], [334.0, 199.0], [162.0, 182.0]], ('2 Wasabi Prawn', 0.9188820719718933)], [[[498.0, 174.0], [579.0, 182.0], [577.0, 200.0], [496.0, 193.0]], ('Ro5.800', 0.9478949308395386)], [[[163.0, 185.0], [335.0, 201.0], [334.0, 220.0], [161.0, 204.0]], ('1 Chick Siew M', 0.9284185767173767)], [[[499.0, 194.0], [582.0, 201.0], [580.0, 220.0], [497.0, 213.0]], ('Ro7.600', 0.961847722530365)], [[[501.0, 213.0], [585.0, 221.0], [583.0, 242.0], [499.0, 233.0]], ('Ro2.500', 0.9831991195678711)], [[[153.0, 227.0], [320.0, 243.0], [318.0, 262.0], [151.0, 246.0]], ('1 S&S Chicken', 0.9232437610626221)], [[[150.0, 248.0], [343.0, 266.0], [341.0, 285.0], [148.0, 267.0]], ('1 Chick G Curry', 0.932991087436676)], [[[506.0, 253.0], [593.0, 262.0], [591.0, 284.0], [503.0, 276.0]], ('Ro5.000', 0.9515238404273987)], [[[142.0, 269.0], [370.0, 289.0], [369.0, 310.0], [140.0, 291.0]], ('1 Steamed Noodles', 0.935977578163147)], [[[507.0, 277.0], [597.0, 284.0], [595.0, 306.0], [506.0, 298.0]], ('R04.300', 0.928986668586731)], [[[134.0, 291.0], [290.0, 305.0], [288.0, 326.0], [132.0, 312.0]], ('2 Crab Rice', 0.9412807822227478)], [[[511.0, 299.0], [602.0, 308.0], [600.0, 329.0], [509.0, 320.0]], ('Ro2.500', 0.9800156354904175)], [[[132.0, 315.0], [329.0, 330.0], [327.0, 351.0], [130.0, 337.0]], ('1 Duck Noodles', 0.9135666489601135)], [[[501.0, 322.0], [607.0, 330.0], [605.0, 353.0], [499.0, 344.0]], ('Ro11.000', 0.9890282154083252)], [[[127.0, 340.0], [368.0, 358.0], [367.0, 379.0], [125.0, 361.0]], ('1 Chrkwaytew beef', 0.9453128576278687)], [[[517.0, 346.0], [613.0, 354.0], [611.0, 375.0], [515.0, 367.0]], ('Ro5.200', 0.9595169425010681)], [[[121.0, 365.0], [238.0, 373.0], [237.0, 398.0], [119.0, 391.0]], ('1 Mojito', 0.92228764295578)], [[[522.0, 369.0], [618.0, 378.0], [616.0, 401.0], [520.0, 392.0]], ('Ro4.900', 0.9796202778816223)], [[[113.0, 393.0], [294.0, 403.0], [293.0, 428.0], [112.0, 419.0]], ('1 Diet Pepsi', 0.9356403350830078)], [[[525.0, 395.0], [623.0, 403.0], [622.0, 425.0], [523.0, 418.0]], ('Ro1.750', 0.9691659808158875)], [[[107.0, 424.0], [324.0, 433.0], [323.0, 458.0], [105.0, 449.0]], ('1Frozen Punch', 0.9737204313278198)], [[[529.0, 422.0], [629.0, 429.0], [627.0, 452.0], [527.0, 444.0]], ('Ro0.900', 0.9839979410171509)], [[[101.0, 455.0], [321.0, 463.0], [320.0, 490.0], [100.0, 482.0]], ('1 Lemon Cooler', 0.9309955835342407)], [[[534.0, 447.0], [638.0, 455.0], [636.0, 481.0], [532.0, 473.0]], ('Ro1.950', 0.9642390608787537)], [[[539.0, 476.0], [644.0, 484.0], [642.0, 510.0], [537.0, 503.0]], ('Ro1.950', 0.9729901552200317)], [[[90.0, 490.0], [305.0, 497.0], [304.0, 524.0], [89.0, 517.0]], ('2 Jasmine Tea', 0.9409435987472534)], [[[544.0, 508.0], [653.0, 515.0], [651.0, 541.0], [543.0, 535.0]], ('Ro1.200', 0.9811949133872986)], [[[88.0, 526.0], [288.0, 530.0], [288.0, 559.0], [87.0, 554.0]], ('1 NH Water S', 0.8957251906394958)], [[[547.0, 540.0], [662.0, 545.0], [660.0, 574.0], [546.0, 569.0]], ('Ro0.700', 0.9433216452598572)], [[[112.0, 564.0], [387.0, 569.0], [387.0, 597.0], [111.0, 593.0]], ('WGO/ELIZABETH 92', 0.9667043685913086)], [[[107.0, 599.0], [180.0, 602.0], [179.0, 637.0], [105.0, 634.0]], ('10%', 0.9985005259513855)], [[[99.0, 643.0], [334.0, 649.0], [333.0, 682.0], [98.0, 676.0]], ('2002,Remegio', 0.9346254467964172)], [[[91.0, 687.0], [316.0, 689.0], [316.0, 725.0], [90.0, 723.0]], ('Food Disc10%', 0.976274311542511)], [[[572.0, 692.0], [712.0, 692.0], [712.0, 726.0], [572.0, 726.0]], ('Ro4.880-', 0.9283193945884705)], [[[74.0, 779.0], [162.0, 782.0], [160.0, 826.0], [73.0, 823.0]], ('Food', 0.9985291957855225)], [[[564.0, 782.0], [716.0, 778.0], [717.0, 817.0], [565.0, 821.0]], ('Ro48.800', 0.9440298080444336)], [[[69.0, 834.0], [234.0, 839.0], [233.0, 879.0], [67.0, 874.0]], ('Beverage', 0.9968555569648743)], [[[589.0, 831.0], [726.0, 827.0], [727.0, 869.0], [590.0, 873.0]], ('Ro8.450', 0.9304938912391663)], [[[63.0, 886.0], [250.0, 890.0], [249.0, 931.0], [62.0, 928.0]], ('Discounts', 0.9970533847808838)], [[[594.0, 884.0], [746.0, 879.0], [748.0, 920.0], [596.0, 925.0]], ('Ro4.880-', 0.9242913722991943)], [[[55.0, 944.0], [269.0, 946.0], [268.0, 990.0], [54.0, 988.0]], ('Amount Due', 0.9631243944168091)], [[[416.0, 947.0], [738.0, 936.0], [739.0, 976.0], [418.0, 986.0]], ('Ro52.370', 0.9437536001205444)]]	{"store_name": "MuscatCityCentre", "store_addr": "", "telephone": "#24558377", "date": "Jan13'10", "time": "07:27PM", "subtotal": "", "tax": "", "total": "Ro52.370", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "S&PCalamari", "item_value": "Ro5.800", "item_quantity": "1"}, {"item_key": "", "item_name": "WasabiPrawn", "item_value": "Ro7.600", "item_quantity": "1"}, {"item_key": "", "item_name": "ChickSiewM", "item_value": "Ro2.500", "item_quantity": "1"}, {"item_key": "", "item_name": "S&SChicken", "item_value": "Ro5.000", "item_quantity": "1"}, {"item_key": "", "item_name": "ChickGCurry", "item_value": "Ro4.300", "item_quantity": "1"}, {"item_key": "", "item_name": "SteamedNoodles", "item_value": "Ro2.500", "item_quantity": "1"}, {"item_key": "", "item_name": "CrabRice", "item_value": "Ro11.000", "item_quantity": "1"}, {"item_key": "", "item_name": "DuckNoodles", "item_value": "Ro5.200", "item_quantity": "1"}, {"item_key": "", "item_name": "Chrkwaytewbeef", "item_value": "Ro4.900", "item_quantity": "1"}, {"item_key": "", "item_name": "Mojito", "item_value": "Ro1.750", "item_quantity": "1"}, {"item_key": "", "item_name": "DietPepsi", "item_value": "Ro0.900", "item_quantity": "1"}, {"item_key": "", "item_name": "FrozenPunch", "item_value": "Ro1.950", "item_quantity": "1"}, {"item_key": "", "item_name": "LemonCooler", "item_value": "Ro1.950", "item_quantity": "1"}, {"item_key": "", "item_name": "JasmineTea", "item_value": "Ro1.200", "item_quantity": "1"}, {"item_key": "", "item_name": "NHWaterS", "item_value": "Ro0.700", "item_quantity": "1"}, {"item_key": "", "item_name": "WGO/ELIZABETH92", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "10%", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "2002,Remegio", "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, 47.0], [225.0, 51.0], [224.0, 67.0], [98.0, 64.0]], ('Life is burritoful.', 0.947210431098938)], [[[103.0, 80.0], [221.0, 84.0], [220.0, 101.0], [103.0, 97.0]], ('9175 De Soto Ave.', 0.9237455725669861)], [[[96.0, 98.0], [226.0, 100.0], [226.0, 117.0], [96.0, 115.0]], ('Chatsworth CA 91311', 0.9672309756278992)], [[[120.0, 118.0], [213.0, 118.0], [213.0, 131.0], [120.0, 131.0]], ('(818671-2902', 0.9523816108703613)], [[[17.0, 132.0], [120.0, 132.0], [120.0, 149.0], [17.0, 149.0]], ('Host:Internet', 0.9597892761230469)], [[[236.0, 133.0], [302.0, 133.0], [302.0, 150.0], [236.0, 150.0]], ('08/01/2014', 0.9979807138442993)], [[[16.0, 150.0], [139.0, 149.0], [139.0, 166.0], [16.0, 167.0]], ('Cashier: Domitila', 0.9108887910842896)], [[[18.0, 167.0], [105.0, 167.0], [105.0, 185.0], [18.0, 185.0]], ('Reilly.Kyle', 0.8652839064598083)], [[[249.0, 165.0], [302.0, 165.0], [302.0, 182.0], [249.0, 182.0]], ('11:55AM', 0.9364820122718811)], [[[262.0, 183.0], [301.0, 183.0], [301.0, 198.0], [262.0, 198.0]], ('110023', 0.9990627765655518)], [[[15.0, 218.0], [189.0, 213.0], [190.0, 234.0], [15.0, 238.0]], ('Chicken Burrito 2 @6.70)', 0.9419288635253906)], [[[267.0, 215.0], [302.0, 215.0], [302.0, 229.0], [267.0, 229.0]], ('13.40', 0.9919202923774719)], [[[28.0, 235.0], [163.0, 231.0], [163.0, 251.0], [29.0, 255.0]], ('Guacamole 2 @1.95', 0.9289228916168213)], [[[272.0, 230.0], [302.0, 230.0], [302.0, 246.0], [272.0, 246.0]], ('3.90', 0.9952889084815979)], [[[17.0, 253.0], [103.0, 253.0], [103.0, 270.0], [17.0, 270.0]], ('Chips &Guac', 0.9709596633911133)], [[[272.0, 247.0], [302.0, 247.0], [302.0, 263.0], [272.0, 263.0]], ('3.30', 0.9954677820205688)], [[[14.0, 287.0], [72.0, 287.0], [72.0, 304.0], [14.0, 304.0]], ('Subtotal', 0.9954307675361633)], [[[266.0, 280.0], [304.0, 280.0], [304.0, 298.0], [266.0, 298.0]], ('20.60', 0.9923232197761536)], [[[13.0, 304.0], [39.0, 307.0], [37.0, 324.0], [11.0, 321.0]], ('Tax', 0.9970002174377441)], [[[272.0, 299.0], [303.0, 299.0], [303.0, 314.0], [272.0, 314.0]], ('1.85', 0.9916962385177612)], [[[14.0, 337.0], [97.0, 337.0], [97.0, 347.0], [14.0, 347.0]], ('Online Total', 0.8506491780281067)], [[[268.0, 333.0], [304.0, 333.0], [304.0, 347.0], [268.0, 347.0]], ('22.45', 0.9085260629653931)]]	{"store_name": "", "store_addr": "9175DeSotoAve. ChatsworthCA91311", "telephone": "(818)671-2902", "date": "08/01/2014", "time": "11:55AM", "subtotal": "20.60", "tax": "1.85", "total": "", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "ChickenBurrito", "item_value": "13.40", "item_quantity": "1"}, {"item_key": "", "item_name": "Guacamole", "item_value": "3.90", "item_quantity": "1"}, {"item_key": "", "item_name": "Chips&Guac", "item_value": "3.30", "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	[[[[27.0, 0.0], [95.0, 1.0], [94.0, 15.0], [27.0, 13.0]], ('CHK54548', 0.9943702816963196)], [[[136.0, 0.0], [208.0, 0.0], [207.0, 17.0], [135.0, 15.0]], ('TBL725/1', 0.9692245721817017)], [[[288.0, 2.0], [332.0, 2.0], [332.0, 17.0], [288.0, 17.0]], ('GST 4', 0.8955121040344238)], [[[111.0, 13.0], [236.0, 16.0], [236.0, 33.0], [111.0, 30.0]], ('4/1/20187:21PM', 0.9670061469078064)], [[[23.0, 47.0], [100.0, 47.0], [100.0, 64.0], [23.0, 64.0]], ('1 Calamari', 0.9411495327949524)], [[[287.0, 53.0], [330.0, 53.0], [330.0, 71.0], [287.0, 71.0]], ('15.00', 0.9979373812675476)], [[[20.0, 64.0], [183.0, 69.0], [182.0, 87.0], [20.0, 81.0]], ('1 Chicken FettAlfredo', 0.9609091877937317)], [[[285.0, 71.0], [330.0, 74.0], [329.0, 93.0], [284.0, 90.0]], ('29.00', 0.9957612156867981)], [[[17.0, 83.0], [151.0, 89.0], [150.0, 106.0], [17.0, 100.0]], ('1 Calabrese Pizza', 0.9555058479309082)], [[[285.0, 91.0], [329.0, 94.0], [328.0, 113.0], [284.0, 110.0]], ('19.00', 0.9968061447143555)], [[[16.0, 101.0], [73.0, 105.0], [72.0, 123.0], [15.0, 119.0]], ('1 Pesce', 0.9257563352584839)], [[[283.0, 111.0], [328.0, 114.0], [327.0, 133.0], [282.0, 130.0]], ('36.00', 0.9965909719467163)], [[[16.0, 121.0], [164.0, 128.0], [163.0, 146.0], [16.0, 139.0]], ('1 Fettucine Alfredo', 0.9651178121566772)], [[[283.0, 131.0], [328.0, 134.0], [327.0, 153.0], [282.0, 150.0]], ('22.00', 0.9963632822036743)], [[[16.0, 141.0], [171.0, 149.0], [170.0, 167.0], [15.0, 159.0]], ('1 Virgin Pina Colada', 0.9520167112350464)], [[[16.0, 160.0], [171.0, 170.0], [170.0, 188.0], [15.0, 178.0]], ('1 Virgin Pina Colada', 0.9560035467147827)], [[[289.0, 152.0], [327.0, 155.0], [326.0, 175.0], [288.0, 172.0]], ('8.00', 0.9977041482925415)], [[[16.0, 179.0], [79.0, 185.0], [78.0, 203.0], [14.0, 197.0]], ('1 Budino', 0.9380555152893066)], [[[289.0, 173.0], [327.0, 176.0], [326.0, 196.0], [288.0, 193.0]], ('8.00', 0.9975670576095581)], [[[16.0, 201.0], [218.0, 213.0], [217.0, 230.0], [15.0, 218.0]], ('1 Duckhorn Chardonnay 9 OZ', 0.944283127784729)], [[[282.0, 194.0], [328.0, 198.0], [326.0, 217.0], [281.0, 213.0]], ('10.00', 0.9949854612350464)], [[[17.0, 220.0], [224.0, 234.0], [223.0, 251.0], [16.0, 237.0]], ('1 Longboard Sauv Blanc 9 OZ', 0.90882807970047)], [[[281.0, 214.0], [328.0, 220.0], [326.0, 239.0], [279.0, 234.0]], ('24.00', 0.9969273805618286)], [[[281.0, 237.0], [326.0, 239.0], [325.0, 258.0], [280.0, 256.0]], ('17.00', 0.9954533576965332)], [[[31.0, 256.0], [93.0, 262.0], [91.0, 281.0], [29.0, 275.0]], ('Subtotal', 0.9952107667922974)], [[[32.0, 275.0], [59.0, 280.0], [56.0, 296.0], [29.0, 292.0]], ('Tax', 0.9957160949707031)], [[[263.0, 276.0], [325.0, 281.0], [323.0, 300.0], [262.0, 295.0]], ('$188.00', 0.9692292809486389)], [[[13.0, 293.0], [144.0, 306.0], [142.0, 324.0], [11.0, 311.0]], ('Total Due', 0.9389412999153137)], [[[278.0, 297.0], [325.0, 301.0], [323.0, 320.0], [277.0, 316.0]], ('$7.84', 0.994288444519043)], [[[206.0, 312.0], [322.0, 322.0], [320.0, 339.0], [205.0, 329.0]], ('$195.84', 0.9926778078079224)], [[[77.0, 336.0], [239.0, 352.0], [237.0, 370.0], [75.0, 354.0]], ('FOR ROOM CHARGES ONLY', 0.9485353827476501)], [[[48.0, 369.0], [116.0, 376.0], [114.0, 394.0], [46.0, 387.0]], ('GRATUITY:', 0.9813160300254822)], [[[55.0, 405.0], [103.0, 411.0], [100.0, 431.0], [53.0, 424.0]], ('TOTAL:', 0.9723196625709534)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "4/1/2018", "time": "7:21PM", "subtotal": "$188.00", "tax": "$7.84", "total": "$195.84", "ignore": "", "tips": "GRATUITY:", "line_items": [{"item_key": "", "item_name": "LongboardSauvBlanc9OZ", "item_value": "17.00", "item_quantity": "1"}, {"item_key": "", "item_name": "DuckhornChardonnay9OZ", "item_value": "24.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Budino", "item_value": "10.00", "item_quantity": "1"}, {"item_key": "", "item_name": "VirginPinaColada", "item_value": "8.00", "item_quantity": "1"}, {"item_key": "", "item_name": "VirginPinaColada", "item_value": "8.00", "item_quantity": "1"}, {"item_key": "", "item_name": "FettucineAlfredo", "item_value": "22.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Pesce", "item_value": "36.00", "item_quantity": "1"}, {"item_key": "", "item_name": "CalabresePizza", "item_value": "19.00", "item_quantity": "1"}, {"item_key": "", "item_name": "ChickenFettAlfredo", "item_value": "29.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Calamari", "item_value": "15.00", "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	[[[[68.0, 5.0], [177.0, 5.0], [177.0, 19.0], [68.0, 19.0]], ('TEL#905456-3363', 0.9577953219413757)], [[[66.0, 21.0], [181.0, 21.0], [181.0, 33.0], [66.0, 33.0]], ('HST866081680RT0001', 0.9746548533439636)], [[[100.0, 49.0], [146.0, 49.0], [146.0, 63.0], [100.0, 63.0]], ('SALE', 0.9986683130264282)], [[[10.0, 75.0], [181.0, 77.0], [181.0, 91.0], [10.0, 89.0]], ('Jun 14/201718:0441#105665', 0.9217243790626526)], [[[9.0, 90.0], [197.0, 91.0], [197.0, 105.0], [9.0, 103.0]], ('ClerkUSER #Cshier USER 1', 0.8820827603340149)], [[[10.0, 116.0], [49.0, 116.0], [49.0, 130.0], [10.0, 130.0]], ('Item', 0.9669895768165588)], [[[182.0, 117.0], [220.0, 119.0], [219.0, 134.0], [181.0, 132.0]], ('Amount', 0.9856768250465393)], [[[10.0, 130.0], [53.0, 128.0], [54.0, 142.0], [10.0, 145.0]], ('SHAMPOO', 0.9716269373893738)], [[[183.0, 131.0], [220.0, 131.0], [220.0, 146.0], [183.0, 146.0]], ('160.00', 0.9906286597251892)], [[[111.0, 154.0], [161.0, 156.0], [161.0, 171.0], [110.0, 169.0]], ('Sublotal:', 0.9175867438316345)], [[[183.0, 158.0], [219.0, 158.0], [219.0, 172.0], [183.0, 172.0]], ('160.00', 0.9893627762794495)], [[[135.0, 171.0], [162.0, 171.0], [162.0, 184.0], [135.0, 184.0]], ('HST:', 0.946567177772522)], [[[186.0, 171.0], [218.0, 171.0], [218.0, 185.0], [186.0, 185.0]], ('20.80', 0.9973030090332031)], [[[154.0, 186.0], [163.0, 186.0], [163.0, 196.0], [154.0, 196.0]], (':', 0.8383777141571045)], [[[189.0, 184.0], [218.0, 184.0], [218.0, 198.0], [189.0, 198.0]], ('0.00', 0.9927427768707275)], [[[105.0, 210.0], [161.0, 210.0], [161.0, 224.0], [105.0, 224.0]], ('Total due:', 0.9146038889884949)], [[[183.0, 210.0], [216.0, 210.0], [216.0, 224.0], [183.0, 224.0]], ('180.80', 0.9899442195892334)], [[[26.0, 226.0], [86.0, 223.0], [86.0, 238.0], [27.0, 240.0]], ('Tendered :', 0.9333274960517883)], [[[130.0, 224.0], [162.0, 224.0], [162.0, 238.0], [130.0, 238.0]], ('Cash:', 0.9569665193557739)], [[[181.0, 224.0], [216.0, 224.0], [216.0, 237.0], [181.0, 237.0]], ('200.00', 0.989013135433197)], [[[121.0, 236.0], [162.0, 240.0], [160.0, 249.0], [120.0, 249.0]], ('Change:', 0.9802313446998596)], [[[185.0, 234.0], [216.0, 237.0], [215.0, 249.0], [184.0, 249.0]], ('19.20', 0.9923799633979797)]]	{"store_name": "", "store_addr": "", "telephone": "(905)456-3353", "date": "14/2017 Jun", "time": "16:04:41", "subtotal": "160.00 160.00", "tax": "20.80", "total": "180.80", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "SHAMPOO", "item_value": "", "item_quantity": ""}, {"item_key": "Ttem#", "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	[[[[98.0, 58.0], [183.0, 62.0], [182.0, 74.0], [97.0, 69.0]], ('Tel:60126573536', 0.9242116212844849)], [[[41.0, 106.0], [103.0, 109.0], [102.0, 123.0], [41.0, 120.0]], ('TABLE', 0.9966334104537964)], [[[104.0, 107.0], [194.0, 110.0], [193.0, 127.0], [103.0, 124.0]], ('EON', 0.6762957572937012)], [[[40.0, 121.0], [88.0, 121.0], [88.0, 135.0], [40.0, 135.0]], ('8111', 0.859277069568634)], [[[109.0, 119.0], [151.0, 124.0], [149.0, 138.0], [107.0, 133.0]], ('.ON', 0.8476945757865906)], [[[141.0, 133.0], [211.0, 136.0], [211.0, 149.0], [141.0, 147.0]], ('No Person ', 0.8859737515449524)], [[[168.0, 124.0], [245.0, 124.0], [245.0, 135.0], [168.0, 135.0]], ('005604', 0.9844664931297302)], [[[40.0, 134.0], [90.0, 134.0], [90.0, 148.0], [40.0, 148.0]], ('Waiter:', 0.9520092606544495)], [[[221.0, 138.0], [231.0, 138.0], [231.0, 147.0], [221.0, 147.0]], ('3', 0.9955586194992065)], [[[44.0, 161.0], [176.0, 161.0], [176.0, 174.0], [44.0, 174.0]], ('2 ORGANIC LEAF TEA POT', 0.9205299019813538)], [[[224.0, 160.0], [256.0, 160.0], [256.0, 175.0], [224.0, 175.0]], ('20.00', 0.9947864413261414)], [[[44.0, 175.0], [177.0, 175.0], [177.0, 188.0], [44.0, 188.0]], ('1 ENGLISH CREAM SCONES', 0.946785032749176)], [[[224.0, 174.0], [256.0, 174.0], [256.0, 189.0], [224.0, 189.0]], ('10.00', 0.9940187335014343)], [[[44.0, 188.0], [186.0, 188.0], [186.0, 201.0], [44.0, 201.0]], ('1 CHICKEN HAM AND CHEESE', 0.9276559352874756)], [[[229.0, 188.0], [257.0, 188.0], [257.0, 203.0], [229.0, 203.0]], ('5.00', 0.9950042366981506)], [[[128.0, 217.0], [183.0, 217.0], [183.0, 231.0], [128.0, 231.0]], ('NET TOTAL', 0.9633223414421082)], [[[219.0, 216.0], [253.0, 216.0], [253.0, 231.0], [219.0, 231.0]], ('35.00', 0.9272985458374023)], [[[126.0, 232.0], [189.0, 230.0], [189.0, 245.0], [127.0, 247.0]], ('S.CHRG10%', 0.985345721244812)], [[[223.0, 230.0], [253.0, 230.0], [253.0, 245.0], [223.0, 245.0]], ('3.50', 0.9747851490974426)], [[[26.0, 247.0], [83.0, 247.0], [83.0, 261.0], [26.0, 261.0]], ('Sub-Total', 0.9395243525505066)], [[[219.0, 244.0], [253.0, 244.0], [253.0, 259.0], [219.0, 259.0]], ('38.50', 0.96968013048172)], [[[28.0, 262.0], [100.0, 262.0], [100.0, 273.0], [28.0, 273.0]], ('ROUNDING ADJ', 0.950514554977417)], [[[223.0, 258.0], [252.0, 258.0], [252.0, 273.0], [223.0, 273.0]], ('0.00', 0.9940858483314514)], [[[38.0, 274.0], [157.0, 273.0], [157.0, 287.0], [38.0, 288.0]], ('PLEASE PAY', 0.961111843585968)], [[[202.0, 271.0], [262.0, 271.0], [262.0, 288.0], [202.0, 288.0]], ('38.50', 0.9973508715629578)], [[[31.0, 323.0], [141.0, 323.0], [141.0, 336.0], [31.0, 336.0]], ('Customer Signature.', 0.9584105610847473)], [[[30.0, 335.0], [254.0, 330.0], [254.0, 344.0], [30.0, 349.0]], ('26/09/2014 16:07:58 C111 S1 R20973 M001', 0.9050373435020447)]]	{"store_name": "", "store_addr": "", "telephone": "60126573536", "date": "26/09/2014", "time": "16:07:58", "subtotal": "35.00", "tax": "", "total": "38.50 38.50", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "ORGANICLEAFTEAPOT", "item_value": "20.00", "item_quantity": "1"}, {"item_key": "", "item_name": "ENGLISHCREAMSCONES", "item_value": "10.00", "item_quantity": "1"}, {"item_key": "", "item_name": "CHICKENHAMANDCHEESE", "item_value": "5.00", "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	[[[[124.0, 0.0], [215.0, 3.0], [214.0, 25.0], [123.0, 21.0]], ('TARGET', 0.997028112411499)], [[[127.0, 18.0], [214.0, 21.0], [213.0, 35.0], [127.0, 32.0]], ('EXPECTMCRE PAY LESS', 0.8963163495063782)], [[[29.0, 109.0], [78.0, 109.0], [78.0, 119.0], [29.0, 119.0]], ('CLOTHING', 0.9953501224517822)], [[[29.0, 119.0], [82.0, 119.0], [82.0, 130.0], [29.0, 130.0]], ('016005680', 0.9956954121589661)], [[[113.0, 118.0], [184.0, 114.0], [185.0, 129.0], [114.0, 133.0]], ('ME TEE SHIRT', 0.9281473755836487)], [[[205.0, 115.0], [215.0, 115.0], [215.0, 124.0], [205.0, 124.0]], ('N', 0.9937677383422852)], [[[232.0, 112.0], [267.0, 109.0], [268.0, 123.0], [233.0, 126.0]], ('$6.00', 0.9834727048873901)], [[[30.0, 140.0], [73.0, 140.0], [73.0, 151.0], [30.0, 151.0]], ('GROCERY', 0.996789813041687)], [[[29.0, 150.0], [83.0, 150.0], [83.0, 161.0], [29.0, 161.0]], ('071061088', 0.9969519376754761)], [[[114.0, 149.0], [182.0, 145.0], [183.0, 159.0], [115.0, 163.0]], ('SB-TORTILLA', 0.9437829852104187)], [[[198.0, 144.0], [222.0, 144.0], [222.0, 156.0], [198.0, 156.0]], ('FN.', 0.8380553126335144)], [[[232.0, 142.0], [277.0, 139.0], [277.0, 153.0], [233.0, 156.0]], ('$1.18', 0.986242413520813)], [[[113.0, 160.0], [247.0, 150.0], [248.0, 167.0], [114.0, 177.0]], ('Coupon$1.25 off$2.50', 0.9180306196212769)], [[[28.0, 181.0], [83.0, 181.0], [83.0, 192.0], [28.0, 192.0]], ('071080104', 0.9974348545074463)], [[[114.0, 179.0], [178.0, 176.0], [178.0, 190.0], [115.0, 193.0]], ('MP KERNELS', 0.9314748048782349)], [[[198.0, 176.0], [220.0, 176.0], [220.0, 188.0], [198.0, 188.0]], ('FN', 0.9846824407577515)], [[[235.0, 175.0], [273.0, 173.0], [274.0, 184.0], [236.0, 186.0]], ('$2.90', 0.9870630502700806)], [[[113.0, 189.0], [253.0, 183.0], [253.0, 197.0], [114.0, 203.0]], ('Cartwheel 10x off $3.23', 0.9235770106315613)], [[[27.0, 202.0], [82.0, 202.0], [82.0, 213.0], [27.0, 213.0]], ('284031158', 0.9983280897140503)], [[[116.0, 200.0], [159.0, 200.0], [159.0, 211.0], [116.0, 211.0]], ('uP EGGS', 0.799900472164154)], [[[199.0, 197.0], [218.0, 197.0], [218.0, 209.0], [199.0, 209.0]], ('FN', 0.9807499051094055)], [[[233.0, 196.0], [270.0, 194.0], [271.0, 208.0], [234.0, 210.0]], ('$2.84', 0.9902893304824829)], [[[112.0, 208.0], [249.0, 204.0], [249.0, 221.0], [113.0, 225.0]], ('Cartwheel 5% off $2.99', 0.8674838542938232)], [[[25.0, 232.0], [164.0, 230.0], [165.0, 244.0], [25.0, 246.0]], ('HEALTH-BEAUTY-COSMETICS', 0.9807990789413452)], [[[26.0, 244.0], [80.0, 244.0], [80.0, 255.0], [26.0, 255.0]], ('094080596', 0.997978925704956)], [[[112.0, 242.0], [188.0, 239.0], [189.0, 253.0], [113.0, 256.0]], ('CLIF ZBAR 6P', 0.9018330574035645)], [[[202.0, 241.0], [218.0, 241.0], [218.0, 253.0], [202.0, 253.0]], ('FN', 0.9910937547683716)], [[[240.0, 240.0], [276.0, 240.0], [276.0, 254.0], [240.0, 254.0]], ('$3.09', 0.9907166361808777)], [[[112.0, 252.0], [188.0, 250.0], [189.0, 264.0], [113.0, 266.0]], ('CLFZCRSP 6PK', 0.9510371088981628)], [[[202.0, 252.0], [219.0, 252.0], [219.0, 264.0], [202.0, 264.0]], ('FN', 0.9868856072425842)], [[[242.0, 251.0], [275.0, 251.0], [275.0, 262.0], [242.0, 262.0]], ('$3.14', 0.957634449005127)], [[[22.0, 254.0], [80.0, 252.0], [80.0, 266.0], [22.0, 268.0]], ('094081408', 0.9960193634033203)], [[[22.0, 275.0], [50.0, 275.0], [50.0, 290.0], [22.0, 290.0]], ('HOME', 0.9979185461997986)], [[[21.0, 287.0], [80.0, 287.0], [80.0, 301.0], [21.0, 301.0]], ('064081134', 0.9962813854217529)], [[[113.0, 286.0], [189.0, 284.0], [190.0, 298.0], [114.0, 300.0]], ('SHOWER LINER', 0.9743041396141052)], [[[211.0, 283.0], [222.0, 288.0], [217.0, 298.0], [206.0, 293.0]], ('T', 0.666575014591217)], [[[241.0, 286.0], [274.0, 286.0], [274.0, 297.0], [241.0, 297.0]], ('$8.09', 0.993409276008606)], [[[113.0, 298.0], [265.0, 296.0], [266.0, 310.0], [114.0, 312.0]], ('Cartwhee 25x off $10.79', 0.9009014368057251)], [[[19.0, 311.0], [78.0, 308.0], [78.0, 323.0], [19.0, 326.0]], ('070051775', 0.9979984760284424)], [[[112.0, 310.0], [179.0, 307.0], [179.0, 321.0], [113.0, 324.0]], ('CAN OPENER', 0.9800541996955872)], [[[223.0, 312.0], [239.0, 312.0], [239.0, 319.0], [223.0, 319.0]], ('-', 0.5674054026603699)], [[[242.0, 309.0], [278.0, 309.0], [278.0, 323.0], [242.0, 323.0]], ('$5.59', 0.9935591816902161)], [[[111.0, 320.0], [241.0, 317.0], [242.0, 333.0], [112.0, 336.0]], ('Coupon 20% off $9.99', 0.912427544593811)], [[[111.0, 333.0], [260.0, 330.0], [260.0, 344.0], [112.0, 347.0]], ('Cartwheel 30x off $7.99', 0.9028431177139282)], [[[17.0, 357.0], [46.0, 357.0], [46.0, 372.0], [17.0, 372.0]], ('MISC', 0.9982954859733582)], [[[15.0, 369.0], [75.0, 369.0], [75.0, 383.0], [15.0, 383.0]], ('064180395', 0.9958873391151428)], [[[112.0, 369.0], [192.0, 369.0], [192.0, 383.0], [112.0, 383.0]], ('SHWR CURTAIN', 0.9679631590843201)], [[[196.0, 368.0], [282.0, 368.0], [282.0, 382.0], [196.0, 382.0]], ('$10.48', 0.9686720371246338)], [[[111.0, 382.0], [270.0, 380.0], [270.0, 394.0], [112.0, 396.0]], ('Cartwheel 25xoff $13.98', 0.9267100691795349)], [[[170.0, 407.0], [224.0, 407.0], [224.0, 421.0], [170.0, 421.0]], ('SUBTOTAL', 0.9975470304489136)], [[[240.0, 406.0], [283.0, 406.0], [283.0, 421.0], [240.0, 421.0]], ('$43.31', 0.992855966091156)], [[[24.0, 419.0], [227.0, 418.0], [227.0, 435.0], [24.0, 436.0]], ('T=PA TAX6.0000% on$24.16', 0.9025705456733704)], [[[244.0, 417.0], [285.0, 417.0], [285.0, 436.0], [244.0, 436.0]], ('$1.45', 0.9769957661628723)], [[[190.0, 432.0], [225.0, 432.0], [225.0, 445.0], [190.0, 445.0]], ('TOTAL', 0.9980825185775757)], [[[239.0, 430.0], [286.0, 428.0], [287.0, 445.0], [240.0, 445.0]], ('$44.76', 0.9909214377403259)]]	{"store_name": "TARGET", "store_addr": "", "telephone": "MECHANICSBURG-717-796-5780", "date": "01/25/2014", "time": "07:40PM", "subtotal": "$43.31", "tax": "$1.45", "total": "$44.76", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "METEESHIRT", "item_value": "$6.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SBTORTILLA", "item_value": "$1.18", "item_quantity": "1"}, {"item_key": "", "item_name": "MPKERNELS", "item_value": "$2.90", "item_quantity": "1"}, {"item_key": "", "item_name": "MPEGGS", "item_value": "$2.84", "item_quantity": "1"}, {"item_key": "", "item_name": "SHOWERLINER", "item_value": "$3.09", "item_quantity": "1"}, {"item_key": "", "item_name": "CANOPENER", "item_value": "$3.14", "item_quantity": "1"}, {"item_key": "", "item_name": "SHWRCURTAIN", "item_value": "$8.09", "item_quantity": "1"}, {"item_key": "", "item_name": "CLIFZBAR6P", "item_value": "$5.59", "item_quantity": "1"}, {"item_key": "", "item_name": "CLFZCRSP6PK", "item_value": "$10.48", "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	[[[[179.0, 137.0], [583.0, 150.0], [582.0, 185.0], [178.0, 172.0]], ('Muskogee.0K,918-682-1551', 0.8935728669166565)], [[[42.0, 200.0], [360.0, 198.0], [360.0, 227.0], [42.0, 229.0]], ('COCACOLA 125LIR', 0.8019181489944458)], [[[346.0, 199.0], [668.0, 219.0], [666.0, 247.0], [344.0, 226.0]], ('0490000553751.', 0.9839898347854614)], [[[77.0, 261.0], [281.0, 256.0], [282.0, 283.0], [78.0, 289.0]], ('042200002675', 0.9599401950836182)], [[[595.0, 273.0], [668.0, 273.0], [668.0, 307.0], [595.0, 307.0]], ('1.00', 0.9842662215232849)], [[[42.0, 323.0], [173.0, 309.0], [176.0, 338.0], [45.0, 352.0]], ('SLBTOTAL', 0.9014151692390442)], [[[658.0, 331.0], [692.0, 330.0], [697.0, 480.0], [663.0, 481.0]], ('89288', 0.5421324968338013)], [[[43.0, 350.0], [113.0, 345.0], [115.0, 375.0], [45.0, 380.0]], ('TAX1', 0.929192066192627)], [[[44.0, 375.0], [203.0, 364.0], [205.0, 396.0], [46.0, 406.0]], ('TOTAL', 0.9984384775161743)], [[[40.0, 402.0], [114.0, 398.0], [115.0, 424.0], [41.0, 427.0]], ('CASH', 0.9146997332572937)], [[[41.0, 424.0], [143.0, 424.0], [143.0, 453.0], [41.0, 453.0]], ('CHANGE', 0.9928573966026306)]]	{"store_name": "", "store_addr": "Muskogee.OK,", "telephone": "918-682-1561", "date": "", "time": "", "subtotal": "", "tax": "$0.18", "total": "$2.18", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "COCACOLA1.25LTR049000055375", "item_value": "1.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "1.00", "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	[[[[245.0, 78.0], [456.0, 87.0], [453.0, 131.0], [243.0, 121.0]], ('SPEEDWAY', 0.9971755743026733)], [[[231.0, 126.0], [456.0, 136.0], [455.0, 161.0], [230.0, 151.0]], ('0005360-London,0H', 0.9240791201591492)], [[[270.0, 159.0], [428.0, 166.0], [426.0, 192.0], [269.0, 185.0]], ('720 Us-42 Ne', 0.921454668045044)], [[[186.0, 188.0], [270.0, 192.0], [269.0, 221.0], [185.0, 217.0]], ('London', 0.9976630210876465)], [[[376.0, 194.0], [573.0, 206.0], [571.0, 234.0], [374.0, 222.0]], ('OH43140-8514', 0.9666950106620789)], [[[255.0, 225.0], [427.0, 229.0], [427.0, 258.0], [254.0, 253.0]], ('740)852-5550', 0.9578188061714172)], [[[78.0, 284.0], [211.0, 288.0], [210.0, 316.0], [78.0, 312.0]], ('Register:1', 0.9751180410385132)], [[[319.0, 292.0], [582.0, 305.0], [581.0, 330.0], [318.0, 317.0]], ('Transaction#21349647', 0.950574517250061)], [[[106.0, 316.0], [385.0, 326.0], [384.0, 354.0], [105.0, 344.0]], ('12/2/20152:31:18PM', 0.9554129838943481)], [[[475.0, 330.0], [607.0, 338.0], [605.0, 367.0], [473.0, 359.0]], ('Tabitha B.', 0.935073733329773)], [[[118.0, 421.0], [130.0, 421.0], [130.0, 439.0], [118.0, 439.0]], ('1', 0.862556517124176)], [[[154.0, 417.0], [485.0, 431.0], [484.0, 454.0], [153.0, 441.0]], ('PALL MALL MN WHITE BX 100', 0.9091153740882874)], [[[550.0, 430.0], [610.0, 434.0], [608.0, 465.0], [548.0, 461.0]], ('5.02', 0.9940251708030701)], [[[117.0, 452.0], [130.0, 452.0], [130.0, 472.0], [117.0, 472.0]], ('1', 0.9433402419090271)], [[[155.0, 450.0], [472.0, 464.0], [471.0, 489.0], [154.0, 475.0]], ('TRIDENT SFT CHW ORG Each', 0.9366469979286194)], [[[550.0, 463.0], [609.0, 466.0], [607.0, 497.0], [548.0, 494.0]], ('2.49', 0.9939215183258057)], [[[118.0, 486.0], [127.0, 486.0], [127.0, 502.0], [118.0, 502.0]], ('1', 0.5106552839279175)], [[[152.0, 482.0], [364.0, 492.0], [362.0, 517.0], [151.0, 507.0]], ('TRID UNWRPD 1.99', 0.9299753308296204)], [[[538.0, 497.0], [607.0, 499.0], [605.0, 531.0], [537.0, 528.0]], ('-0.50', 0.9563887715339661)], [[[151.0, 515.0], [336.0, 522.0], [335.0, 550.0], [150.0, 543.0]], ('Speedy Rewards', 0.9662150144577026)], [[[110.0, 576.0], [254.0, 584.0], [252.0, 613.0], [108.0, 605.0]], ('Sub.Total:', 0.9384859204292297)], [[[534.0, 598.0], [602.0, 598.0], [602.0, 628.0], [534.0, 628.0]], ('$7.01', 0.995587944984436)], [[[110.0, 608.0], [166.0, 613.0], [163.0, 640.0], [108.0, 635.0]], ('Tax:', 0.9600606560707092)], [[[111.0, 637.0], [192.0, 643.0], [189.0, 674.0], [109.0, 667.0]], ('Total:', 0.9690802693367004)], [[[534.0, 632.0], [600.0, 632.0], [600.0, 659.0], [534.0, 659.0]], ('$0.35', 0.9926737546920776)], [[[531.0, 664.0], [598.0, 664.0], [598.0, 694.0], [531.0, 694.0]], ('$7.36', 0.9960624575614929)], [[[102.0, 699.0], [160.0, 705.0], [156.0, 737.0], [98.0, 731.0]], ('Cash', 0.9973465204238892)], [[[100.0, 734.0], [182.0, 745.0], [178.0, 776.0], [96.0, 766.0]], ('Change', 0.9980667233467102)], [[[514.0, 730.0], [597.0, 728.0], [598.0, 758.0], [515.0, 761.0]], ('$10.00', 0.9930536150932312)], [[[527.0, 764.0], [597.0, 764.0], [597.0, 794.0], [527.0, 794.0]], ('$2.64', 0.8933353424072266)], [[[256.0, 844.0], [379.0, 853.0], [377.0, 882.0], [254.0, 873.0]], ('Thank You', 0.966705322265625)], [[[241.0, 877.0], [389.0, 886.0], [388.0, 914.0], [239.0, 905.0]], ('Visit us at', 0.9292570352554321)], [[[213.0, 910.0], [428.0, 922.0], [426.0, 948.0], [212.0, 936.0]], ('www.speedway.com', 0.9902706146240234)]]	{"store_name": "SPEEDWAY", "store_addr": "London OH43140-8514 720Us-42Ne", "telephone": "(740)852-5550", "date": "12/2/2015", "time": "2:31:18PM", "subtotal": "$7.01", "tax": "$0.35", "total": "$7.36", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "SpeedyRewards", "item_value": "5.02", "item_quantity": "1"}, {"item_key": "", "item_name": "TRIDENTSFTCHWORGEach", "item_value": "2.49", "item_quantity": "1"}, {"item_key": "", "item_name": "PALLMALLMNWHITEBX100", "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, 5.0], [288.0, 5.0], [288.0, 70.0], [104.0, 70.0]], ('Cub', 0.9895925521850586)], [[[109.0, 73.0], [288.0, 70.0], [288.0, 84.0], [109.0, 86.0]], ('My neighborhood.My Cub.', 0.936834990978241)], [[[89.0, 99.0], [296.0, 99.0], [296.0, 112.0], [89.0, 112.0]], ('1440 University Avenue West', 0.9488745331764221)], [[[116.0, 111.0], [260.0, 110.0], [260.0, 124.0], [117.0, 125.0]], ('St.PaulMN55104', 0.9414457082748413)], [[[140.0, 123.0], [236.0, 123.0], [236.0, 136.0], [140.0, 136.0]], ('651-646-1003', 0.956882894039154)], [[[109.0, 138.0], [276.0, 136.0], [276.0, 152.0], [109.0, 154.0]], ('Pharmacy 651-646-8858', 0.9758984446525574)], [[[24.0, 168.0], [145.0, 165.0], [146.0, 182.0], [24.0, 185.0]], ('Cashier:KATIE R', 0.9249356985092163)], [[[23.0, 197.0], [91.0, 195.0], [91.0, 213.0], [23.0, 215.0]], ('04/09/13', 0.9969609975814819)], [[[307.0, 194.0], [371.0, 194.0], [371.0, 211.0], [307.0, 211.0]], ('11:46:53', 0.9291884303092957)], [[[26.0, 243.0], [135.0, 240.0], [135.0, 256.0], [26.0, 259.0]], ('GROCERY', 0.9980767965316772)], [[[31.0, 258.0], [177.0, 255.0], [178.0, 271.0], [31.0, 274.0]], ('HNT SPAGETTI SAUCE', 0.9576416015625)], [[[178.0, 255.0], [271.0, 254.0], [271.0, 269.0], [179.0, 270.0]], ('2700050006', 0.9964988827705383)], [[[328.0, 253.0], [367.0, 253.0], [367.0, 271.0], [328.0, 271.0]], ('.88F', 0.9574145078659058)], [[[33.0, 273.0], [177.0, 271.0], [177.0, 288.0], [33.0, 290.0]], ('EE SPAGHETTI PASTA', 0.9512218832969666)], [[[190.0, 271.0], [272.0, 270.0], [272.0, 285.0], [190.0, 286.0]], ('4130300045', 0.9982781410217285)], [[[329.0, 271.0], [367.0, 271.0], [367.0, 286.0], [329.0, 286.0]], ('88F', 0.9901206493377686)], [[[33.0, 290.0], [162.0, 288.0], [162.0, 302.0], [33.0, 304.0]], ('MRCHN INST LUNCH', 0.9478868246078491)], [[[192.0, 287.0], [271.0, 286.0], [271.0, 301.0], [192.0, 302.0]], ('4178900131', 0.9985863566398621)], [[[317.0, 287.0], [366.0, 287.0], [366.0, 302.0], [317.0, 302.0]], ('2.49F', 0.989561915397644)], [[[33.0, 305.0], [178.0, 303.0], [178.0, 317.0], [33.0, 319.0]], ('EE COFEE FRNCH RST', 0.9320670366287231)], [[[192.0, 303.0], [272.0, 303.0], [272.0, 317.0], [192.0, 317.0]], ('4130300274', 0.9986343383789062)], [[[317.0, 302.0], [366.0, 302.0], [366.0, 317.0], [317.0, 317.0]], ('3.74F', 0.9882903099060059)], [[[33.0, 320.0], [178.0, 319.0], [178.0, 333.0], [33.0, 334.0]], ('ESTL EVRDY PNT BTR', 0.9185266494750977)], [[[191.0, 319.0], [272.0, 317.0], [272.0, 332.0], [191.0, 334.0]], ('4130303110', 0.9982144236564636)], [[[318.0, 317.0], [367.0, 317.0], [367.0, 332.0], [318.0, 332.0]], ('4.35F', 0.9884599447250366)], [[[33.0, 335.0], [155.0, 335.0], [155.0, 349.0], [33.0, 349.0]], ('CUB WHITE BREAD', 0.9498902559280396)], [[[193.0, 334.0], [272.0, 334.0], [272.0, 348.0], [193.0, 348.0]], ('4113048321', 0.9984337687492371)], [[[319.0, 332.0], [367.0, 332.0], [367.0, 347.0], [319.0, 347.0]], ('1.19F', 0.9877145886421204)], [[[26.0, 350.0], [89.0, 350.0], [89.0, 364.0], [26.0, 364.0]], ('MEAT', 0.9974184632301331)], [[[33.0, 365.0], [178.0, 365.0], [178.0, 379.0], [33.0, 379.0]], ('SHPERS VALU SALAMI', 0.9517921805381775)], [[[193.0, 364.0], [274.0, 364.0], [274.0, 378.0], [193.0, 378.0]], ('4113030814', 0.9983461499214172)], [[[317.0, 362.0], [369.0, 359.0], [369.0, 377.0], [318.0, 380.0]], ('1.99F', 0.9844262003898621)], [[[25.0, 382.0], [136.0, 379.0], [136.0, 393.0], [25.0, 396.0]], ('PRODUCE', 0.996468186378479)], [[[32.0, 396.0], [155.0, 395.0], [155.0, 410.0], [32.0, 411.0]], ('ICEBERG LETTUCE', 0.9683341383934021)], [[[194.0, 394.0], [275.0, 394.0], [275.0, 411.0], [194.0, 411.0]], ('7143003187', 0.9985015988349915)], [[[320.0, 394.0], [370.0, 394.0], [370.0, 409.0], [320.0, 409.0]], ('1.48F', 0.9842117428779602)], [[[32.0, 412.0], [178.0, 411.0], [178.0, 426.0], [32.0, 427.0]], ('1.761b1lb/', 0.8098090887069702)], [[[220.0, 410.0], [244.0, 410.0], [244.0, 426.0], [220.0, 426.0]], ('.59', 0.9899263978004456)], [[[33.0, 429.0], [147.0, 427.0], [148.0, 441.0], [33.0, 443.0]], ('BANANAS YELLOW', 0.9767312407493591)], [[[240.0, 425.0], [276.0, 425.0], [276.0, 443.0], [240.0, 443.0]], ('4011', 0.9983259439468384)], [[[318.0, 424.0], [372.0, 422.0], [373.0, 440.0], [319.0, 442.0]], ('1.04F', 0.9843198657035828)], [[[33.0, 445.0], [179.0, 443.0], [180.0, 457.0], [33.0, 459.0]], ('2.75 1b11b/', 0.8776512145996094)], [[[221.0, 442.0], [245.0, 442.0], [245.0, 457.0], [221.0, 457.0]], ('.38', 0.9852402806282043)], [[[32.0, 459.0], [165.0, 457.0], [165.0, 473.0], [32.0, 475.0]], ('POTATO RUSSET RA', 0.9469816088676453)], [[[241.0, 456.0], [278.0, 456.0], [278.0, 474.0], [241.0, 474.0]], ('4728', 0.9989051818847656)], [[[321.0, 455.0], [372.0, 455.0], [372.0, 473.0], [321.0, 473.0]], ('1.05F', 0.9901021122932434)], [[[24.0, 474.0], [126.0, 471.0], [126.0, 488.0], [24.0, 491.0]], ('FROZEN', 0.9968740344047546)], [[[31.0, 489.0], [165.0, 487.0], [165.0, 504.0], [31.0, 505.0]], ('OLD O PNK LMNADE', 0.9306560158729553)], [[[198.0, 489.0], [278.0, 489.0], [278.0, 502.0], [198.0, 502.0]], ('7535511242', 0.950295090675354)], [[[323.0, 486.0], [375.0, 486.0], [375.0, 503.0], [323.0, 503.0]], ('1.59F', 0.9867118000984192)], [[[26.0, 506.0], [106.0, 506.0], [106.0, 520.0], [26.0, 520.0]], ('DAIRY', 0.9976670145988464)], [[[32.0, 521.0], [181.0, 519.0], [182.0, 534.0], [32.0, 536.0]], ('CUB HMOGENIZD MILK', 0.9523158669471741)], [[[198.0, 520.0], [278.0, 520.0], [278.0, 534.0], [198.0, 534.0]], ('4113047006', 0.9981439709663391)], [[[322.0, 518.0], [376.0, 515.0], [377.0, 533.0], [323.0, 535.0]], ('2.99F', 0.9855620265007019)], [[[33.0, 537.0], [181.0, 535.0], [182.0, 550.0], [33.0, 552.0]], ('ESENTL EDAY CHEESE', 0.9561927318572998)], [[[197.0, 536.0], [279.0, 536.0], [279.0, 550.0], [197.0, 550.0]], ('4130300714', 0.9988244771957397)], [[[324.0, 532.0], [378.0, 530.0], [379.0, 548.0], [324.0, 550.0]], ('2.99F', 0.9885731935501099)], [[[34.0, 553.0], [151.0, 553.0], [151.0, 567.0], [34.0, 567.0]], ('CUB LARGE EGGS', 0.9324458241462708)], [[[198.0, 552.0], [279.0, 552.0], [279.0, 566.0], [198.0, 566.0]], ('4113047009', 0.998289942741394)], [[[327.0, 549.0], [380.0, 549.0], [380.0, 565.0], [327.0, 565.0]], ('1.98F', 0.9905894994735718)], [[[130.0, 567.0], [199.0, 565.0], [199.0, 583.0], [130.0, 585.0]], ('SUBTOTAL', 0.9959525465965271)], [[[317.0, 565.0], [363.0, 563.0], [364.0, 581.0], [318.0, 583.0]], ('28.64', 0.9914644956588745)], [[[131.0, 583.0], [209.0, 582.0], [209.0, 600.0], [131.0, 601.0]], ('TOTAL TAX', 0.9498545527458191)], [[[338.0, 581.0], [364.0, 581.0], [364.0, 597.0], [338.0, 597.0]], ('.00', 0.9889405369758606)], [[[58.0, 601.0], [141.0, 601.0], [141.0, 618.0], [58.0, 618.0]], ('TOTAL', 0.9983429908752441)], [[[241.0, 599.0], [322.0, 597.0], [323.0, 613.0], [242.0, 616.0]], ('28.64', 0.9829672574996948)], [[[40.0, 618.0], [78.0, 618.0], [78.0, 635.0], [40.0, 635.0]], ('Cash', 0.9970631003379822)], [[[184.0, 616.0], [234.0, 616.0], [234.0, 630.0], [184.0, 630.0]], ('TENDER', 0.9976014494895935)], [[[322.0, 614.0], [365.0, 614.0], [365.0, 629.0], [322.0, 629.0]], ('40.00', 0.9971485137939453)], [[[40.0, 634.0], [78.0, 634.0], [78.0, 652.0], [40.0, 652.0]], ('Cash', 0.9961816072463989)], [[[183.0, 631.0], [235.0, 631.0], [235.0, 649.0], [183.0, 649.0]], ('CHANGE', 0.9980430603027344)], [[[323.0, 629.0], [367.0, 629.0], [367.0, 646.0], [323.0, 646.0]], ('11.36', 0.9971731305122375)], [[[132.0, 666.0], [261.0, 662.0], [261.0, 679.0], [132.0, 683.0]], ('NUMBER OF ITEMS', 0.9609166383743286)], [[[350.0, 661.0], [370.0, 661.0], [370.0, 678.0], [350.0, 678.0]], ('14', 0.9984536170959473)]]	{"store_name": "Culb", "store_addr": "1440UniversityAvenuewest St.Paul,MN55104", "telephone": "651-646-1003", "date": "04/09/13", "time": "11:46:53", "subtotal": "28.64", "tax": ".00", "total": "28,64", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "HNTSPAGETTISAUCE", "item_value": ".88", "item_quantity": "1"}, {"item_key": "", "item_name": "EESPAGHETTIPASTA", "item_value": ".88", "item_quantity": "1"}, {"item_key": "", "item_name": "MRCHNINSTLUNCH", "item_value": "2.49", "item_quantity": "1"}, {"item_key": "", "item_name": "EECOFEEFRNCHRST", "item_value": "3.74", "item_quantity": "1"}, {"item_key": "", "item_name": "ESTLEVRDYPNTBTR", "item_value": "4.35", "item_quantity": "1"}, {"item_key": "", "item_name": "CUBWHITEBREAD", "item_value": "1.19", "item_quantity": "1"}, {"item_key": "", "item_name": "SHPERSVALUSALAMI", "item_value": "1.99", "item_quantity": "1"}, {"item_key": "", "item_name": "ICEBERGLETTUCE", "item_value": "1.48", "item_quantity": "1"}, {"item_key": "", "item_name": "BANANASYELLOW", "item_value": "1.04", "item_quantity": "1"}, {"item_key": "", "item_name": "POTATORUSSETRA", "item_value": "1.05", "item_quantity": "1"}, {"item_key": "", "item_name": "OLDOPNKLMNADE", "item_value": "1.59", "item_quantity": "1"}, {"item_key": "", "item_name": "CUBHMOGENIZDMILK", "item_value": "2.99", "item_quantity": "1"}, {"item_key": "", "item_name": "ESENTLEDAYCHEESE", "item_value": "2.99", "item_quantity": "1"}, {"item_key": "", "item_name": "CUBLARGEEGGS", "item_value": "1.98", "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	[[[[70.0, 7.0], [167.0, 4.0], [167.0, 15.0], [71.0, 18.0]], ('Black Diard Car Mas', 0.7476191520690918)], [[[87.0, 15.0], [155.0, 12.0], [155.0, 22.0], [87.0, 26.0]], ('1414 Heca May', 0.8674472570419312)], [[[73.0, 25.0], [164.0, 18.0], [164.0, 29.0], [74.0, 35.0]], ('Loufsvfle.Co80027', 0.7518248558044434)], [[[89.0, 32.0], [148.0, 29.0], [149.0, 40.0], [89.0, 43.0]], ('303-666-6696', 0.9703345894813538)], [[[28.0, 56.0], [87.0, 53.0], [87.0, 63.0], [29.0, 67.0]], ('WashCashier1,', 0.8678544163703918)], [[[126.0, 50.0], [213.0, 45.0], [214.0, 57.0], [126.0, 63.0]], ('01/15/15.10:49AM', 0.915272057056427)], [[[27.0, 66.0], [100.0, 62.0], [101.0, 75.0], [28.0, 78.0]], ('Shift 1.Epl1', 0.824044406414032)], [[[54.0, 88.0], [138.0, 84.0], [139.0, 94.0], [54.0, 98.0]], ('1Express Wax Wash', 0.8852481842041016)], [[[183.0, 79.0], [214.0, 79.0], [214.0, 93.0], [183.0, 93.0]], ('29.95', 0.9887836575508118)], [[[52.0, 98.0], [149.0, 94.0], [150.0, 106.0], [52.0, 111.0]], ('1Min1/SUV-Expwaxwsh', 0.7775659561157227)], [[[185.0, 92.0], [213.0, 89.0], [214.0, 103.0], [186.0, 106.0]], ('3.00', 0.993217408657074)], [[[52.0, 111.0], [139.0, 106.0], [140.0, 119.0], [52.0, 123.0]], ('1Seats Lthr/Viny', 0.9423160552978516)], [[[189.0, 104.0], [215.0, 104.0], [215.0, 116.0], [189.0, 116.0]], ('9.00', 0.9917958974838257)], [[[54.0, 122.0], [86.0, 122.0], [86.0, 133.0], [54.0, 133.0]], ('1 Rims', 0.8147051334381104)], [[[190.0, 117.0], [215.0, 117.0], [215.0, 128.0], [190.0, 128.0]], ('6.00', 0.9941477179527283)], [[[119.0, 144.0], [159.0, 144.0], [159.0, 154.0], [119.0, 154.0]], ('Subtotal', 0.9949915409088135)], [[[187.0, 143.0], [216.0, 143.0], [216.0, 153.0], [187.0, 153.0]], ('47.95', 0.9951003193855286)], [[[115.0, 156.0], [160.0, 156.0], [160.0, 167.0], [115.0, 167.0]], ('Sales Tax', 0.9464539289474487)], [[[190.0, 154.0], [216.0, 154.0], [216.0, 166.0], [190.0, 166.0]], ('0.00', 0.9951722621917725)], [[[135.0, 168.0], [161.0, 168.0], [161.0, 179.0], [135.0, 179.0]], ('Total', 0.9973152875900269)], [[[187.0, 165.0], [217.0, 165.0], [217.0, 179.0], [187.0, 179.0]], ('47.95', 0.994133472442627)], [[[67.0, 191.0], [107.0, 191.0], [107.0, 202.0], [67.0, 202.0]], ('DISCOVER', 0.9943004250526428)], [[[188.0, 189.0], [217.0, 189.0], [217.0, 200.0], [188.0, 200.0]], ('47.95', 0.9909685850143433)], [[[34.0, 224.0], [217.0, 220.0], [217.0, 233.0], [34.0, 237.0]], ('Your wash service advisor was Owner#1.', 0.9285587668418884)]]	{"store_name": "", "store_addr": "Louisville.co80027", "telephone": "303-666-6696", "date": "01/15/15.", "time": "10:49AM", "subtotal": "47.95", "tax": "0.00", "total": "47.95", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "Rins", "item_value": "6.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SeatsLthr/vinyl", "item_value": "9.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Mint/SUV-Expwaxwsh", "item_value": "3.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Expresswaxwash", "item_value": "29.95", "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	[[[[280.0, 110.0], [943.0, 138.0], [937.0, 278.0], [274.0, 250.0]], ('DiSNEpPARKS', 0.8034034967422485)], [[[375.0, 279.0], [851.0, 301.0], [848.0, 361.0], [372.0, 339.0]], ('Show Your Disney Side', 0.9567126035690308)], [[[473.0, 365.0], [708.0, 381.0], [705.0, 429.0], [470.0, 413.0]], ('Mouse Gear', 0.9341763257980347)], [[[408.0, 412.0], [797.0, 426.0], [795.0, 468.0], [406.0, 454.0]], ('Store Number 6546', 0.9434928894042969)], [[[269.0, 449.0], [884.0, 477.0], [882.0, 519.0], [267.0, 491.0]], ('Merchandise Guest Services:', 0.958305835723877)], [[[428.0, 502.0], [751.0, 512.0], [750.0, 552.0], [426.0, 542.0]], ('1-877-560-6477', 0.991271436214447)], [[[98.0, 533.0], [1067.0, 573.0], [1065.0, 613.0], [97.0, 573.0]], ('[email protected]', 0.9881944060325623)], [[[309.0, 585.0], [886.0, 611.0], [884.0, 653.0], [307.0, 627.0]], ('www.DisneyParks.com/store', 0.993645429611206)], [[[66.0, 696.0], [630.0, 714.0], [628.0, 754.0], [65.0, 736.0]], ('CAST MEMBER:Lauren F CP', 0.9201027154922485)], [[[64.0, 740.0], [538.0, 756.0], [537.0, 796.0], [63.0, 780.0]], ('CHECK NUMBER:12-266', 0.949683666229248)], [[[245.0, 956.0], [719.0, 972.0], [718.0, 1014.0], [244.0, 998.0]], ('PLSH MM STRP RMP 18M', 0.9194941520690918)], [[[899.0, 975.0], [1027.0, 981.0], [1025.0, 1031.0], [897.0, 1025.0]], ('24.95', 0.9968493580818176)], [[[243.0, 1006.0], [529.0, 1014.0], [527.0, 1054.0], [242.0, 1046.0]], ('400008953085', 0.9993563294410706)], [[[237.0, 1052.0], [670.0, 1066.0], [668.0, 1108.0], [236.0, 1094.0]], ('BABY SK 2PK MM ATH', 0.924278974533081)], [[[923.0, 1067.0], [1029.0, 1073.0], [1027.0, 1125.0], [920.0, 1119.0]], ('9.95', 0.9975502490997314)], [[[237.0, 1100.0], [527.0, 1110.0], [525.0, 1150.0], [236.0, 1140.0]], ('400103687106', 0.9986312985420227)], [[[235.0, 1146.0], [667.0, 1158.0], [666.0, 1200.0], [234.0, 1188.0]], ('D15 ORNR STCKD WDW', 0.9129957556724548)], [[[905.0, 1161.0], [1029.0, 1167.0], [1027.0, 1217.0], [903.0, 1211.0]], ('19.95', 0.9940385818481445)], [[[233.0, 1194.0], [525.0, 1202.0], [523.0, 1244.0], [232.0, 1236.0]], ('400008779616', 0.9835259318351746)], [[[30.0, 1240.0], [185.0, 1240.0], [185.0, 1286.0], [30.0, 1286.0]], ('[email protected]', 0.9381682872772217)], [[[229.0, 1244.0], [638.0, 1254.0], [637.0, 1296.0], [228.0, 1286.0]], ('WDW LETTER MAGNET', 0.9231528639793396)], [[[907.0, 1260.0], [1034.0, 1260.0], [1034.0, 1312.0], [907.0, 1312.0]], ('11.90', 0.9974587559700012)], [[[227.0, 1292.0], [523.0, 1300.0], [521.0, 1342.0], [226.0, 1334.0]], ('400168352292', 0.9987618327140808)], [[[223.0, 1342.0], [715.0, 1356.0], [714.0, 1398.0], [222.0, 1384.0]], ('D15 LS METAL MAG WDW', 0.9147377014160156)], [[[931.0, 1358.0], [1040.0, 1358.0], [1040.0, 1410.0], [931.0, 1410.0]], ('9.95', 0.998257577419281)], [[[219.0, 1394.0], [518.0, 1400.0], [518.0, 1442.0], [218.0, 1436.0]], ('40000858867', 0.9991167187690735)], [[[213.0, 1442.0], [471.0, 1446.0], [470.0, 1494.0], [212.0, 1490.0]], ('NMEMMPERKC', 0.9957345128059387)], [[[937.0, 1453.0], [1045.0, 1459.0], [1042.0, 1513.0], [934.0, 1507.0]], ('9.95', 0.9977222084999084)], [[[211.0, 1494.0], [513.0, 1500.0], [512.0, 1548.0], [210.0, 1542.0]], ('400168305601', 0.9985871315002441)], [[[202.0, 1596.0], [411.0, 1602.0], [410.0, 1650.0], [200.0, 1644.0]], ('SUBTOTAL', 0.9965677261352539)], [[[919.0, 1610.0], [1054.0, 1610.0], [1054.0, 1660.0], [919.0, 1660.0]], ('86.65', 0.9951471090316772)], [[[202.0, 1648.0], [288.0, 1648.0], [288.0, 1694.0], [202.0, 1694.0]], ('TAX', 0.9969558119773865)], [[[941.0, 1657.0], [1051.0, 1663.0], [1049.0, 1709.0], [938.0, 1703.0]], ('5.64', 0.9966372847557068)], [[[203.0, 1694.0], [465.0, 1698.0], [464.0, 1746.0], [202.0, 1742.0]], ('AMOUNT DUE', 0.9709277153015137)], [[[915.0, 1706.0], [1046.0, 1706.0], [1046.0, 1756.0], [915.0, 1756.0]], ('92.29', 0.9987773895263672)], [[[0.0, 1778.0], [58.0, 1778.0], [58.0, 1828.0], [0.0, 1828.0]], ('VF', 0.9974575042724609)], [[[207.0, 1790.0], [834.0, 1802.0], [833.0, 1844.0], [206.0, 1832.0]], ('American Express PURCHASE', 0.9158691167831421)], [[[909.0, 1800.0], [1040.0, 1800.0], [1040.0, 1850.0], [909.0, 1850.0]], ('92.29', 0.9975825548171997)], [[[1.0, 1823.0], [761.0, 1851.0], [759.0, 1899.0], [0.0, 1871.0]], ('ACCOUNT NUMBERXXXXXXXXXXX1004', 0.9398330450057983)], [[[7.0, 1876.0], [302.0, 1886.0], [301.0, 1919.0], [6.0, 1912.0]], ('AUTH:505171', 0.9631174206733704)], [[[385.0, 1894.0], [457.0, 1894.0], [457.0, 1916.0], [385.0, 1916.0]], ('REE', 0.7602047324180603)]]	{"store_name": "DisnepPARKS", "store_addr": "", "telephone": "1-877-560-6477", "date": "", "time": "", "subtotal": "SUBTOTAL 86.65", "tax": "5.64", "total": "92.29 92.29", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "PLSHMMSTRPRMP18M", "item_value": "24.95", "item_quantity": "1"}, {"item_key": "", "item_name": "BABYSK2PKMMATH", "item_value": "9.95", "item_quantity": "1"}, {"item_key": "", "item_name": "D15ORNRSTCKDWDW", "item_value": "19.95", "item_quantity": "1"}, {"item_key": "", "item_name": "WDWLETTERMAGNET", "item_value": "11.90", "item_quantity": "1"}, {"item_key": "", "item_name": "D15LSMETALMAGWDW", "item_value": "9.95", "item_quantity": "1"}, {"item_key": "", "item_name": "NMEMMPERKC", "item_value": "9.95", "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	[[[[100.0, 19.0], [162.0, 17.0], [162.0, 31.0], [100.0, 33.0]], ('CUSTOMER SIL', 0.7940602898597717)], [[[205.0, 15.0], [246.0, 17.0], [245.0, 32.0], [204.0, 30.0]], ('12/05/15', 0.830970048904419)], [[[63.0, 39.0], [141.0, 39.0], [141.0, 52.0], [63.0, 52.0]], ('NMER002036133', 0.8570185899734497)], [[[161.0, 40.0], [183.0, 40.0], [183.0, 51.0], [161.0, 51.0]], ('TERM', 0.9497700929641724)], [[[64.0, 50.0], [113.0, 51.0], [113.0, 62.0], [64.0, 61.0]], ('SERVER DAN', 0.9094846844673157)], [[[63.0, 60.0], [139.0, 60.0], [139.0, 81.0], [63.0, 81.0]], ('TABLE 24', 0.9429305791854858)], [[[68.0, 100.0], [133.0, 100.0], [133.0, 111.0], [68.0, 111.0]], ('=S===', 0.7591089010238647)], [[[225.0, 107.0], [250.0, 107.0], [250.0, 123.0], [225.0, 123.0]], ('4.35', 0.9878280758857727)], [[[65.0, 128.0], [125.0, 134.0], [124.0, 148.0], [64.0, 142.0]], ('p00', 0.5535738468170166)], [[[67.0, 141.0], [126.0, 144.0], [125.0, 158.0], [66.0, 156.0]], ('1MISC FOOD', 0.9065081477165222)], [[[226.0, 141.0], [252.0, 141.0], [252.0, 156.0], [226.0, 156.0]], ('4.00', 0.98746657371521)], [[[64.0, 165.0], [134.0, 167.0], [133.0, 181.0], [63.0, 179.0]], ('==Larder ', 0.8401555418968201)], [[[66.0, 177.0], [168.0, 177.0], [168.0, 191.0], [66.0, 191.0]], ('1 COUS COUS FRITTERS', 0.9289264678955078)], [[[228.0, 176.0], [253.0, 176.0], [253.0, 191.0], [228.0, 191.0]], ('3.00', 0.9898561239242554)], [[[67.0, 191.0], [127.0, 191.0], [127.0, 202.0], [67.0, 202.0]], ('1 KING PRAN', 0.8886758685112)], [[[229.0, 188.0], [252.0, 190.0], [250.0, 204.0], [227.0, 202.0]], ('5.00', 0.9947433471679688)], [[[64.0, 226.0], [136.0, 226.0], [136.0, 237.0], [64.0, 237.0]], ('1 FISH N CHIPS', 0.9003766179084778)], [[[229.0, 225.0], [254.0, 225.0], [254.0, 237.0], [229.0, 237.0]], ('6.00', 0.9940440058708191)], [[[63.0, 235.0], [128.0, 237.0], [127.0, 251.0], [62.0, 249.0]], ('1 LEMON SOLE', 0.8972718119621277)], [[[230.0, 238.0], [254.0, 238.0], [254.0, 250.0], [230.0, 250.0]], ('6.00', 0.975458025932312)], [[[58.0, 263.0], [120.0, 263.0], [120.0, 274.0], [58.0, 274.0]], ('Meat =', 0.9056110978126526)], [[[58.0, 273.0], [121.0, 275.0], [121.0, 289.0], [57.0, 287.0]], ('1LAMB NECK', 0.8982837796211243)], [[[231.0, 274.0], [257.0, 274.0], [257.0, 289.0], [231.0, 289.0]], ('7.50', 0.9837625026702881)], [[[53.0, 297.0], [130.0, 302.0], [129.0, 317.0], [53.0, 312.0]], ('=Pastry =', 0.9287136793136597)], [[[56.0, 314.0], [109.0, 314.0], [109.0, 328.0], [56.0, 328.0]], ('1BROWNIE', 0.8637582659721375)], [[[232.0, 313.0], [260.0, 313.0], [260.0, 329.0], [232.0, 329.0]], ('5.00', 0.993320643901825)], [[[142.0, 340.0], [200.0, 343.0], [199.0, 358.0], [142.0, 355.0]], ('TOTAL FOOO', 0.8964851498603821)], [[[225.0, 343.0], [261.0, 343.0], [261.0, 357.0], [225.0, 357.0]], ('36.50', 0.9746564030647278)], [[[142.0, 353.0], [205.0, 356.0], [204.0, 373.0], [142.0, 370.0]], ('TOTAL DRINK', 0.9400696158409119)], [[[229.0, 358.0], [262.0, 358.0], [262.0, 372.0], [229.0, 372.0]], ('4.35', 0.9781932830810547)], [[[42.0, 387.0], [156.0, 387.0], [156.0, 408.0], [42.0, 408.0]], ('AMOUNT DUE', 0.9483329653739929)], [[[174.0, 388.0], [244.0, 388.0], [244.0, 410.0], [174.0, 410.0]], ('40.85', 0.988419234752655)], [[[96.0, 423.0], [143.0, 423.0], [143.0, 438.0], [96.0, 438.0]], ('GRATUITY', 0.9800868034362793)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "12/05/15", "time": "13:05:28", "subtotal": "", "tax": "", "total": "\u00a340.85", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "MISCBAR", "item_value": "4.35", "item_quantity": "1"}, {"item_key": "", "item_name": "MISCFOOD", "item_value": "4.00", "item_quantity": "1"}, {"item_key": "", "item_name": "CDUSCOUSFRITTERS", "item_value": "3.00", "item_quantity": "1"}, {"item_key": "", "item_name": "KINGPRANW", "item_value": "5.00", "item_quantity": "1"}, {"item_key": "", "item_name": "FISHNCHIPS", "item_value": "6.00", "item_quantity": "1"}, {"item_key": "", "item_name": "LEMONSULE", "item_value": "6.00", "item_quantity": "1"}, {"item_key": "", "item_name": "LAMBNECK", "item_value": "5.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BROWNIE", "item_value": "7.50", "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	[[[[74.0, 48.0], [130.0, 50.0], [129.0, 71.0], [73.0, 69.0]], ('ONE4ONE', 0.931573748588562)], [[[74.0, 74.0], [127.0, 76.0], [127.0, 91.0], [73.0, 88.0]], ('141Park Lare', 0.8216325640678406)], [[[75.0, 66.0], [112.0, 68.0], [111.0, 80.0], [74.0, 77.0]], ('ONEFORONE', 0.9724255800247192)], [[[73.0, 96.0], [104.0, 96.0], [104.0, 110.0], [73.0, 110.0]], ('W1K7ED', 0.7491192817687988)], [[[75.0, 88.0], [102.0, 88.0], [102.0, 100.0], [75.0, 100.0]], ('London', 0.9266844391822815)], [[[120.0, 107.0], [189.0, 107.0], [189.0, 117.0], [120.0, 117.0]], ('T02074994001', 0.9759864807128906)], [[[124.0, 126.0], [184.0, 126.0], [184.0, 137.0], [124.0, 137.0]], ('Date:27/06/2011', 0.9850704669952393)], [[[128.0, 136.0], [181.0, 136.0], [181.0, 147.0], [128.0, 147.0]], ('Tiee:03:07:36', 0.8238392472267151)], [[[72.0, 154.0], [113.0, 154.0], [113.0, 168.0], [72.0, 168.0]], ('User:Nick', 0.8770532011985779)], [[[73.0, 166.0], [118.0, 166.0], [118.0, 177.0], [73.0, 177.0]], ('THE CLLB 19', 0.8812671899795532)], [[[70.0, 185.0], [200.0, 184.0], [200.0, 198.0], [70.0, 199.0]], ('Don PerIgron Lenous Magns 2002', 0.8205438852310181)], [[[70.0, 205.0], [153.0, 205.0], [153.0, 219.0], [70.0, 219.0]], ('Grey Gocae Mags Bt', 0.6964107155799866)], [[[189.0, 197.0], [234.0, 197.0], [234.0, 208.0], [189.0, 208.0]], ('1750.00', 0.9346006512641907)], [[[193.0, 207.0], [232.0, 207.0], [232.0, 215.0], [193.0, 215.0]], ('20', 0.6552320122718811)], [[[71.0, 217.0], [103.0, 217.0], [103.0, 228.0], [71.0, 228.0]], ('RedBull1', 0.8500524759292603)], [[[195.0, 215.0], [236.0, 212.0], [236.0, 226.0], [196.0, 229.0]], ('5.00', 0.9724892973899841)], [[[68.0, 225.0], [164.0, 224.0], [165.0, 238.0], [68.0, 239.0]], ('Soda Kater Complisentary', 0.7834512591362)], [[[69.0, 235.0], [194.0, 235.0], [194.0, 248.0], [69.0, 248.0]], ('Arsand de Brignac Methusa ah 5t', 0.8351791501045227)], [[[197.0, 226.0], [234.0, 226.0], [234.0, 237.0], [197.0, 237.0]], ('40.00', 0.947673499584198)], [[[68.0, 255.0], [159.0, 255.0], [159.0, 268.0], [68.0, 268.0]], ('Armand De Br1gnac Midas', 0.8947145938873291)], [[[176.0, 247.0], [234.0, 247.0], [234.0, 257.0], [176.0, 257.0]], ('125.000.00', 0.9512631297111511)], [[[175.0, 257.0], [234.0, 257.0], [234.0, 268.0], [175.0, 268.0]], ('1120.000.00', 0.9427191019058228)], [[[66.0, 287.0], [139.0, 286.0], [140.0, 300.0], [66.0, 301.0]], ('Service 15.00%', 0.9032336473464966)], [[[67.0, 278.0], [106.0, 278.0], [106.0, 289.0], [67.0, 289.0]], ('SubTotal:', 0.9163521528244019)], [[[189.0, 278.0], [235.0, 278.0], [235.0, 289.0], [189.0, 289.0]], ('148.190.00', 0.8979528546333313)], [[[192.0, 289.0], [234.0, 289.0], [234.0, 300.0], [192.0, 300.0]], ('21,928.50', 0.9273379445075989)], [[[67.0, 310.0], [86.0, 310.0], [86.0, 321.0], [67.0, 321.0]], ('VAT:', 0.9771350026130676)], [[[191.0, 310.0], [233.0, 308.0], [234.0, 320.0], [192.0, 323.0]], ('24,384.99', 0.8631764650344849)], [[[69.0, 320.0], [94.0, 320.0], [94.0, 331.0], [69.0, 331.0]], ('lotal:', 0.8282306790351868)], [[[186.0, 321.0], [234.0, 318.0], [235.0, 332.0], [187.0, 335.0]], ('188.118.50', 0.8813356161117554)], [[[149.0, 341.0], [234.0, 341.0], [234.0, 354.0], [149.0, 354.0]], ('VAT Reg No:102869822', 0.8873945474624634)], [[[102.0, 361.0], [200.0, 363.0], [200.0, 376.0], [101.0, 374.0]], ('THAK YOU FOR YOUR CUSTOM', 0.7872114181518555)]]	{"store_name": "ONE4ONE", "store_addr": "London 141ParkLane", "telephone": "02074994001", "date": "27/6/2011", "time": "03:07:36", "subtotal": "\u00a3146,190.00", "tax": "\u00a324,384.99", "total": "\u00a3188,118.50", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "ArmandDeBrignacMidas", "item_value": "\u00a3120,000.00", "item_quantity": "1"}, {"item_key": "", "item_name": "ArmanddeBrigracMethuslahBtl", "item_value": "\u00a325,000.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SodaMaterComplimentary", "item_value": "\u00a30.00", "item_quantity": "1"}, {"item_key": "", "item_name": "RecBull", "item_value": "\u00a35.00", "item_quantity": "1"}, {"item_key": "", "item_name": "GreyGooseMagnumBtl", "item_value": "\u00a3420.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "\u00a3750.00", "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	[[[[91.0, 75.0], [187.0, 71.0], [188.0, 84.0], [91.0, 89.0]], ("Horton's The Steakhouss", 0.8565148115158081)], [[[107.0, 84.0], [174.0, 84.0], [174.0, 95.0], [107.0, 95.0]], ('400.Pos1 Street', 0.8414286971092224)], [[[88.0, 95.0], [190.0, 90.0], [191.0, 104.0], [88.0, 109.0]], ('SanFrancisco.C494102', 0.7925854325294495)], [[[110.0, 105.0], [171.0, 101.0], [172.0, 112.0], [110.0, 116.0]], ('(415)-986-5830', 0.8931068778038025)], [[[51.0, 126.0], [126.0, 122.0], [127.0, 135.0], [51.0, 139.0]], ('SarveMicrcel', 0.6812453269958496)], [[[185.0, 122.0], [231.0, 122.0], [231.0, 133.0], [185.0, 133.0]], ('09/09/2014', 0.9483319520950317)], [[[50.0, 142.0], [93.0, 145.0], [92.0, 159.0], [50.0, 156.0]], ('Questss2', 0.7376939654350281)], [[[52.0, 136.0], [96.0, 136.0], [96.0, 147.0], [52.0, 147.0]], ('Table-22/1', 0.8009253740310669)], [[[195.0, 133.0], [230.0, 130.0], [231.0, 141.0], [196.0, 144.0]], ('0:25N', 0.678433895111084)], [[[206.0, 141.0], [233.0, 141.0], [233.0, 154.0], [206.0, 154.0]], ('20041', 0.9885222315788269)], [[[51.0, 155.0], [108.0, 155.0], [108.0, 166.0], [51.0, 166.0]], ('Reprfnt ', 0.77374666929245)], [[[49.0, 185.0], [104.0, 185.0], [104.0, 196.0], [49.0, 196.0]], ('Vivreau Nater', 0.893834114074707)], [[[210.0, 181.0], [233.0, 181.0], [233.0, 193.0], [210.0, 193.0]], ('9.75', 0.9771707653999329)], [[[48.0, 195.0], [104.0, 195.0], [104.0, 206.0], [48.0, 206.0]], ('Frerch Ftles', 0.8397915363311768)], [[[208.0, 192.0], [234.0, 192.0], [234.0, 203.0], [208.0, 203.0]], ('13.00', 0.9542024731636047)], [[[47.0, 205.0], [118.0, 203.0], [119.0, 217.0], [47.0, 219.0]], ('Steaned Broccol', 0.8814405798912048)], [[[207.0, 211.0], [235.0, 213.0], [234.0, 227.0], [205.0, 225.0]], ('15.25', 0.9327541589736938)], [[[208.0, 202.0], [235.0, 202.0], [235.0, 215.0], [208.0, 215.0]], ('13.00', 0.9799801111221313)], [[[47.0, 215.0], [128.0, 215.0], [128.0, 228.0], [47.0, 228.0]], ('Grey Goosa Kartini', 0.8064786195755005)], [[[47.0, 225.0], [142.0, 225.0], [142.0, 238.0], [47.0, 238.0]], ('Double Cut Pork Cnops', 0.8417902588844299)], [[[207.0, 232.0], [235.0, 234.0], [234.0, 248.0], [205.0, 246.0]], ('13.00', 0.8886111378669739)], [[[208.0, 224.0], [235.0, 224.0], [235.0, 237.0], [208.0, 237.0]], ('32.00', 0.9662691950798035)], [[[46.0, 234.0], [145.0, 235.0], [144.0, 249.0], [46.0, 248.0]], ('61.CS Layer Cake Beas', 0.8534462451934814)], [[[46.0, 245.0], [113.0, 247.0], [113.0, 260.0], [46.0, 258.0]], ('S1.SPR Montesa', 0.8082596659660339)], [[[208.0, 245.0], [235.0, 245.0], [235.0, 258.0], [208.0, 258.0]], ('13.00', 0.9849495887756348)], [[[47.0, 257.0], [133.0, 257.0], [133.0, 270.0], [47.0, 270.0]], ('Oysters Rockefeller', 0.8766347169876099)], [[[208.0, 255.0], [235.0, 255.0], [235.0, 270.0], [208.0, 270.0]], ('19:50', 0.8950380086898804)], [[[49.0, 269.0], [148.0, 269.0], [148.0, 279.0], [49.0, 279.0]], ('mto Cras Cakes Entrse', 0.7995212078094482)], [[[209.0, 266.0], [234.0, 269.0], [233.0, 281.0], [207.0, 278.0]], ('0380', 0.6913684010505676)], [[[43.0, 286.0], [156.0, 286.0], [156.0, 300.0], [43.0, 300.0]], ('6S8 J Lohr Carol Vineya', 0.7886835932731628)], [[[46.0, 279.0], [96.0, 279.0], [96.0, 290.0], [46.0, 290.0]], ('G1 FG Ponz', 0.775688648223877)], [[[209.0, 277.0], [234.0, 277.0], [234.0, 289.0], [209.0, 289.0]], ('14.C0', 0.7928683757781982)], [[[209.0, 288.0], [235.0, 288.0], [235.0, 299.0], [209.0, 299.0]], ('13.00', 0.9755343198776245)], [[[42.0, 299.0], [146.0, 299.0], [146.0, 312.0], [42.0, 312.0]], ('Red Rocks 2.011.75', 0.864757239818573)], [[[207.0, 298.0], [236.0, 298.0], [236.0, 312.0], [207.0, 312.0]], ('23.50', 0.9885457754135132)], [[[39.0, 320.0], [78.0, 323.0], [77.0, 337.0], [38.0, 334.0]], ('Sbtotal', 0.9146191477775574)], [[[38.0, 332.0], [83.0, 335.0], [82.0, 349.0], [37.0, 346.0]], ('Surcharge', 0.9622457027435303)], [[[203.0, 323.0], [236.0, 323.0], [236.0, 334.0], [203.0, 334.0]], ('217.00', 0.8590701222419739)], [[[212.0, 335.0], [236.0, 335.0], [236.0, 348.0], [212.0, 348.0]], ('8.68', 0.9754866361618042)], [[[38.0, 347.0], [56.0, 347.0], [56.0, 359.0], [38.0, 359.0]], ('Tax', 0.9869406819343567)], [[[209.0, 347.0], [238.0, 347.0], [238.0, 362.0], [209.0, 362.0]], ('18.90', 0.9558359384536743)], [[[36.0, 366.0], [64.0, 369.0], [62.0, 383.0], [35.0, 380.0]], ('Total', 0.9894902110099792)], [[[204.0, 370.0], [240.0, 373.0], [239.0, 388.0], [203.0, 385.0]], ('244.58', 0.9764821529388428)], [[[39.0, 391.0], [100.0, 393.0], [99.0, 407.0], [38.0, 405.0]], ('Balance Due', 0.8508874773979187)], [[[200.0, 397.0], [239.0, 397.0], [239.0, 408.0], [200.0, 408.0]], ('$24458', 0.9626941084861755)], [[[60.0, 413.0], [210.0, 415.0], [210.0, 429.0], [60.0, 427.0]], ('For banguet events.baenos c', 0.7939843535423279)], [[[44.0, 423.0], [232.0, 428.0], [231.0, 442.0], [44.0, 437.0]], ('includes suggested gratuity 1f accepted.', 0.9451414346694946)]]	{"store_name": "", "store_addr": "400PostStreet", "telephone": "(415)-986-5830", "date": "05/09/2014", "time": "10:25PM", "subtotal": "217.00", "tax": "18.90", "total": "244.58", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "VivreauWater", "item_value": "23.50", "item_quantity": "1"}, {"item_key": "", "item_name": "FrenchFries", "item_value": "13.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SteasedBroccoli", "item_value": "14.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SreyGooseMartini", "item_value": "38.00", "item_quantity": "1"}, {"item_key": "", "item_name": "DoubleCutporkChops", "item_value": "19.50", "item_quantity": "1"}, {"item_key": "", "item_name": "GlCSLayarCakeBeast", "item_value": "13.00", "item_quantity": "1"}, {"item_key": "", "item_name": "GlSPRMantesa", "item_value": "13.00", "item_quantity": "1"}, {"item_key": "", "item_name": "OystersRockafeller", "item_value": "32.00", "item_quantity": "1"}, {"item_key": "", "item_name": "GlFGPonzi", "item_value": "15.25", "item_quantity": "1"}, {"item_key": "", "item_name": "GlSBJLohrCarolVireya", "item_value": "13.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "13.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "9.75", "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	[[[[150.0, 86.0], [460.0, 75.0], [462.0, 144.0], [152.0, 155.0]], ('GIANT', 0.8782205581665039)], [[[150.0, 158.0], [460.0, 150.0], [460.0, 170.0], [151.0, 178.0]], ('Qualiry.Selection.Svings. Every Day', 0.8300337791442871)], [[[169.0, 215.0], [472.0, 208.0], [473.0, 231.0], [169.0, 238.0]], ('Visit us on the Internet', 0.9504286646842957)], [[[170.0, 241.0], [461.0, 234.0], [461.0, 257.0], [170.0, 264.0]], ('www.CiiantFoodStores.com', 0.9104080200195312)], [[[86.0, 293.0], [163.0, 293.0], [163.0, 314.0], [86.0, 314.0]], ('30.000', 0.9903544783592224)], [[[156.0, 292.0], [381.0, 289.0], [382.0, 309.0], [157.0, 312.0]], ('3a0.000 /9a', 0.8436092734336853)], [[[72.0, 317.0], [102.0, 317.0], [102.0, 342.0], [72.0, 342.0]], ('VL', 0.992545485496521)], [[[174.0, 317.0], [334.0, 314.0], [335.0, 335.0], [174.0, 338.0]], ('REG CAS SALES', 0.9282461404800415)], [[[395.0, 312.0], [423.0, 312.0], [423.0, 334.0], [395.0, 334.0]], ('NP', 0.9970503449440002)], [[[470.0, 308.0], [529.0, 308.0], [529.0, 333.0], [470.0, 333.0]], ('0.00', 0.9935408234596252)], [[[178.0, 368.0], [424.0, 366.0], [424.0, 386.0], [178.0, 388.0]], ('Total Before Savings', 0.9534150958061218)], [[[448.0, 361.0], [528.0, 359.0], [529.0, 383.0], [448.0, 385.0]], ('110.97', 0.9974095821380615)], [[[179.0, 391.0], [326.0, 393.0], [326.0, 414.0], [179.0, 412.0]], ('Your Savings', 0.9624729752540588)], [[[448.0, 387.0], [528.0, 384.0], [529.0, 409.0], [449.0, 412.0]], ('110.97', 0.9977590441703796)], [[[183.0, 417.0], [411.0, 417.0], [411.0, 437.0], [183.0, 437.0]], ('Total After Savings', 0.9625763893127441)], [[[472.0, 411.0], [528.0, 409.0], [529.0, 434.0], [473.0, 436.0]], ('0.00', 0.9971099495887756)], [[[182.0, 440.0], [223.0, 440.0], [223.0, 463.0], [182.0, 463.0]], ('TAX', 0.9973586201667786)], [[[474.0, 437.0], [529.0, 437.0], [529.0, 459.0], [474.0, 459.0]], ('0.00', 0.9919858574867249)], [[[123.0, 466.0], [270.0, 463.0], [270.0, 484.0], [123.0, 487.0]], ('BALANCE', 0.9822472929954529)], [[[472.0, 462.0], [527.0, 460.0], [528.0, 483.0], [473.0, 485.0]], ('0.00', 0.9979378581047058)], [[[185.0, 488.0], [237.0, 488.0], [237.0, 510.0], [185.0, 510.0]], ('CASH', 0.998457133769989)], [[[474.0, 485.0], [530.0, 485.0], [530.0, 510.0], [474.0, 510.0]], ('0.00', 0.9953793287277222)], [[[187.0, 512.0], [261.0, 512.0], [261.0, 534.0], [187.0, 534.0]], ('CHANCE', 0.953819215297699)], [[[474.0, 510.0], [531.0, 510.0], [531.0, 535.0], [474.0, 535.0]], ('0.00', 0.8944631814956665)], [[[224.0, 560.0], [405.0, 560.0], [405.0, 580.0], [224.0, 580.0]], ('SAVINGS SUMMARY', 0.959723174571991)], [[[98.0, 588.0], [250.0, 588.0], [250.0, 605.0], [98.0, 605.0]], ('Card Savings:', 0.9433647990226746)], [[[333.0, 583.0], [406.0, 583.0], [406.0, 604.0], [333.0, 604.0]], ('110.97', 0.9975815415382385)], [[[97.0, 609.0], [321.0, 608.0], [321.0, 628.0], [97.0, 629.0]], ('Your Total Savings:', 0.9129394888877869)], [[[454.0, 606.0], [529.0, 608.0], [528.0, 629.0], [453.0, 627.0]], ('110.97', 0.9974029064178467)], [[[100.0, 653.0], [480.0, 652.0], [480.0, 673.0], [100.0, 674.0]], ('04/23/14 05:E7Pm6422 9058 4404', 0.9033825397491455)], [[[104.0, 699.0], [362.0, 696.0], [362.0, 717.0], [104.0, 720.0]], ('2014 BONUSCARD SAVINGS', 0.9418718218803406)], [[[432.0, 698.0], [506.0, 700.0], [506.0, 722.0], [431.0, 720.0]], ('351.97', 0.9934611916542053)], [[[106.0, 739.0], [552.0, 744.0], [552.0, 768.0], [105.0, 763.0]], ('****REWARDS POINTS SUMMARY ', 0.873728334903717)], [[[269.0, 763.0], [399.0, 766.0], [398.0, 787.0], [269.0, 784.0]], ('Earn Redeem', 0.969024658203125)], [[[433.0, 768.0], [556.0, 772.0], [555.0, 792.0], [432.0, 788.0]], ('Bal Expire', 0.9198118448257446)], [[[112.0, 807.0], [251.0, 809.0], [250.0, 830.0], [111.0, 828.0]], ('ExtraRewards', 0.9908861517906189)], [[[305.0, 810.0], [321.0, 810.0], [321.0, 830.0], [305.0, 830.0]], ('0', 0.6686156988143921)], [[[353.0, 810.0], [402.0, 810.0], [402.0, 832.0], [353.0, 832.0]], ('3699', 0.9941371083259583)], [[[448.0, 813.0], [554.0, 813.0], [554.0, 830.0], [448.0, 830.0]], ('23005/10', 0.9140535593032837)]]	{"store_name": "GIANT", "store_addr": "", "telephone": "", "date": "04.23.14", "time": "05:57pm", "subtotal": "", "tax": "0.00", "total": "110.97 110.97 110.97 110.97", "ignore": "", "tips": "", "line_items": []}