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GHOFRANEE
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Dataset_ocr_to_json

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Split (2)

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	[[[[352.0, 358.0], [467.0, 375.0], [462.0, 411.0], [347.0, 394.0]], ('THE', 0.9980175495147705)], [[[588.0, 555.0], [882.0, 522.0], [887.0, 563.0], [593.0, 596.0]], ('970226-4590', 0.9938011765480042)], [[[332.0, 627.0], [437.0, 648.0], [430.0, 684.0], [325.0, 663.0]], ('11669', 0.9981139898300171)], [[[1055.0, 632.0], [1195.0, 632.0], [1195.0, 673.0], [1055.0, 673.0]], ('5.00T', 0.970681369304657)], [[[277.0, 661.0], [540.0, 710.0], [533.0, 751.0], [270.0, 702.0]], ('BEAUTY BUCKS', 0.9444608688354492)], [[[1055.0, 678.0], [1177.0, 678.0], [1177.0, 721.0], [1055.0, 721.0]], ('5.00-', 0.9715612530708313)], [[[5.0, 755.0], [52.0, 755.0], [52.0, 805.0], [5.0, 805.0]], ('T', 0.9519758820533752)], [[[262.0, 801.0], [440.0, 832.0], [433.0, 873.0], [255.0, 842.0]], ('SUBTOTAL', 0.9968835711479187)], [[[0.0, 818.0], [37.0, 818.0], [37.0, 857.0], [0.0, 857.0]], ('0-', 0.8075312376022339)], [[[1063.0, 821.0], [1180.0, 814.0], [1182.0, 858.0], [1065.0, 865.0]], ('$0.00', 0.978973388671875)], [[[263.0, 852.0], [474.0, 888.0], [467.0, 929.0], [256.0, 893.0]], ('TOTAL', 0.9982488751411438)], [[[1060.0, 870.0], [1184.0, 860.0], [1188.0, 907.0], [1064.0, 918.0]], ('$0.00', 0.981685996055603)], [[[7.0, 957.0], [60.0, 952.0], [64.0, 998.0], [12.0, 1003.0]], ('00', 0.9647529125213623)], [[[13.0, 1004.0], [70.0, 1004.0], [70.0, 1055.0], [13.0, 1055.0]], ('00', 0.9372422099113464)]]	{"store_name": "THEBODYSHOP\u2122 THEBODYSHOP#0226", "store_addr": "FoothillsFashionMall 215EastFoothillsparkway FortCollins,C080525", "telephone": "(970)226-4590", "date": "", "time": "", "subtotal": "$0.00", "tax": "", "total": "$0.00", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "BODYPUREESPAWISDOM250MLA21", "item_value": "5.00T", "item_quantity": "1"}, {"item_key": "", "item_name": "BEAUTYBUCKS", "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	[[[[88.0, 8.0], [231.0, 10.0], [230.0, 24.0], [87.0, 22.0]], ('Mitchells Restaurant', 0.9875044822692871)], [[[115.0, 37.0], [204.0, 37.0], [204.0, 51.0], [115.0, 51.0]], ('ORDER76', 0.9967913627624512)], [[[109.0, 62.0], [209.0, 65.0], [208.0, 80.0], [108.0, 76.0]], ('CUSTOMER COPY', 0.9656972885131836)], [[[45.0, 84.0], [139.0, 89.0], [139.0, 102.0], [44.0, 97.0]], ('Eat In Cash Sales', 0.8864365816116333)], [[[44.0, 96.0], [106.0, 100.0], [105.0, 114.0], [43.0, 110.0]], ('Destination', 0.9863460659980774)], [[[43.0, 108.0], [96.0, 111.0], [96.0, 125.0], [42.0, 122.0]], ('invoice#', 0.9123167991638184)], [[[157.0, 101.0], [182.0, 101.0], [182.0, 114.0], [157.0, 114.0]], ('Tilll', 0.8478506803512573)], [[[42.0, 119.0], [111.0, 124.0], [110.0, 138.0], [41.0, 133.0]], ('Salesperson', 0.9959121346473694)], [[[158.0, 114.0], [193.0, 114.0], [193.0, 125.0], [158.0, 125.0]], ('10198', 0.9980062246322632)], [[[41.0, 131.0], [71.0, 134.0], [70.0, 148.0], [40.0, 145.0]], ('Date', 0.9937305450439453)], [[[158.0, 135.0], [260.0, 136.0], [260.0, 150.0], [157.0, 149.0]], ('10.25PM 15Ju16', 0.9541999697685242)], [[[67.0, 170.0], [172.0, 171.0], [172.0, 185.0], [67.0, 184.0]], ('1/2.SANCERRE W', 0.9212886691093445)], [[[243.0, 172.0], [277.0, 172.0], [277.0, 186.0], [243.0, 186.0]], ('21.50', 0.9726880192756653)], [[[68.0, 185.0], [135.0, 185.0], [135.0, 196.0], [68.0, 196.0]], ('ESPRESSO', 0.9957941770553589)], [[[249.0, 185.0], [278.0, 185.0], [278.0, 199.0], [249.0, 199.0]], ('2.20', 0.9842941164970398)], [[[66.0, 198.0], [166.0, 198.0], [166.0, 211.0], [66.0, 211.0]], ('DOZ OYSTERS E', 0.9403665065765381)], [[[244.0, 198.0], [278.0, 198.0], [278.0, 212.0], [244.0, 212.0]], ('23.95', 0.9921697378158569)], [[[65.0, 211.0], [166.0, 211.0], [166.0, 224.0], [65.0, 224.0]], ('PAN SEABASS E', 0.9305331707000732)], [[[244.0, 211.0], [280.0, 211.0], [280.0, 225.0], [244.0, 225.0]], ('24.50', 0.9880340695381165)], [[[65.0, 224.0], [147.0, 224.0], [147.0, 237.0], [65.0, 237.0]], ('VALUE MENU', 0.9489744901657104)], [[[245.0, 224.0], [281.0, 224.0], [281.0, 238.0], [245.0, 238.0]], ('28.95', 0.9623287320137024)], [[[36.0, 251.0], [127.0, 251.0], [127.0, 265.0], [36.0, 265.0]], ('BALANCE DUE', 0.9640737771987915)], [[[230.0, 251.0], [281.0, 251.0], [281.0, 265.0], [230.0, 265.0]], ('101.10', 0.9935577511787415)], [[[34.0, 266.0], [116.0, 266.0], [116.0, 279.0], [34.0, 279.0]], ('Includes VAT', 0.9710543751716614)], [[[31.0, 309.0], [64.0, 309.0], [64.0, 324.0], [31.0, 324.0]], ('Cash', 0.9952819347381592)], [[[243.0, 307.0], [286.0, 307.0], [286.0, 322.0], [243.0, 322.0]], ('101.10', 0.9847733378410339)], [[[30.0, 340.0], [104.0, 340.0], [104.0, 354.0], [30.0, 354.0]], ('TENDERED', 0.9976733326911926)], [[[234.0, 337.0], [287.0, 337.0], [287.0, 352.0], [234.0, 352.0]], ('101.10', 0.993809163570404)], [[[79.0, 385.0], [239.0, 384.0], [239.0, 401.0], [79.0, 402.0]], ('Minimum Card Transaction', 0.9794132113456726)], [[[128.0, 400.0], [189.0, 398.0], [189.0, 416.0], [129.0, 418.0]], ('is e30.00', 0.8958710432052612)], [[[36.0, 432.0], [281.0, 430.0], [281.0, 447.0], [37.0, 449.0]], ('SERVICE CHARGE IS NOT INCLUDED', 0.9565991759300232)]]	{"store_name": "MitchellsRestaurant", "store_addr": "", "telephone": "", "date": "15Jul16", "time": "10:25PM", "subtotal": "", "tax": "", "total": "\u20ac101.10", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "1/2SANCERREW", "item_value": "21.50", "item_quantity": "1"}, {"item_key": "", "item_name": "ESPRESSO", "item_value": "2.20", "item_quantity": "1"}, {"item_key": "", "item_name": "DOZOYSTERSE", "item_value": "23.95", "item_quantity": "1"}, {"item_key": "", "item_name": "PANSEABASSE", "item_value": "24.50", "item_quantity": "1"}, {"item_key": "", "item_name": "VALUEMENU", "item_value": "28.95", "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	[[[[114.0, 41.0], [227.0, 35.0], [228.0, 64.0], [115.0, 70.0]], ('Lilusan', 0.6919276118278503)], [[[120.0, 81.0], [208.0, 77.0], [209.0, 91.0], [120.0, 95.0]], ('Kikusan Landnark', 0.9388928413391113)], [[[76.0, 94.0], [251.0, 88.0], [252.0, 102.0], [76.0, 108.0]], ('Shop B13-15.Atriu The Landmark', 0.9000330567359924)], [[[112.0, 102.0], [212.0, 99.0], [212.0, 115.0], [113.0, 118.0]], ('Central, Hong Kong', 0.9127199649810791)], [[[121.0, 114.0], [201.0, 112.0], [201.0, 127.0], [121.0, 128.0]], ('Tel2521-3344', 0.9539830684661865)], [[[44.0, 148.0], [142.0, 149.0], [142.0, 163.0], [44.0, 162.0]], ('B111 No.000-5908', 0.8464913964271545)], [[[229.0, 147.0], [281.0, 147.0], [281.0, 164.0], [229.0, 164.0]], ('Take Out', 0.9031072854995728)], [[[41.0, 160.0], [178.0, 162.0], [178.0, 176.0], [41.0, 174.0]], ('Date:2016/10/27 15:08:57', 0.9235882759094238)], [[[245.0, 162.0], [280.0, 159.0], [281.0, 174.0], [247.0, 177.0]], ('[#19]', 0.9573680758476257)], [[[37.0, 185.0], [131.0, 187.0], [130.0, 201.0], [36.0, 199.0]], ('Ta.sashim1 rice', 0.8757041096687317)], [[[34.0, 197.0], [146.0, 202.0], [146.0, 216.0], [33.0, 211.0]], ('Tcurry chic.f/rice', 0.9452904462814331)], [[[209.0, 192.0], [217.0, 192.0], [217.0, 202.0], [209.0, 202.0]], ('1', 0.9207836389541626)], [[[239.0, 188.0], [281.0, 186.0], [282.0, 202.0], [240.0, 204.0]], ('$55.00', 0.9949609637260437)], [[[31.0, 210.0], [122.0, 215.0], [121.0, 229.0], [30.0, 224.0]], ('Tpork sandwtch', 0.877140462398529)], [[[208.0, 204.0], [216.0, 204.0], [216.0, 216.0], [208.0, 216.0]], ('1', 0.8235211372375488)], [[[239.0, 203.0], [281.0, 203.0], [281.0, 218.0], [239.0, 218.0]], ('$55.00', 0.9841870665550232)], [[[207.0, 219.0], [216.0, 219.0], [216.0, 230.0], [207.0, 230.0]], ('1', 0.6676788926124573)], [[[239.0, 218.0], [280.0, 218.0], [280.0, 232.0], [239.0, 232.0]], ('$55.00', 0.9928017258644104)], [[[117.0, 245.0], [279.0, 248.0], [278.0, 273.0], [116.0, 270.0]], ('Grand Total$165.00', 0.8992677330970764)], [[[161.0, 297.0], [194.0, 301.0], [191.0, 319.0], [159.0, 315.0]], ('Cash', 0.9942666292190552)], [[[227.0, 302.0], [281.0, 306.0], [280.0, 324.0], [226.0, 320.0]], ('$200.00', 0.9954952001571655)], [[[147.0, 313.0], [191.0, 319.0], [189.0, 337.0], [144.0, 331.0]], ('Change', 0.9965810179710388)], [[[234.0, 320.0], [281.0, 324.0], [279.0, 343.0], [233.0, 339.0]], ('$35.00', 0.9949435591697693)], [[[2.0, 331.0], [202.0, 352.0], [200.0, 372.0], [0.0, 351.0]], ('002-2016/10/2715:09:59K', 0.9367260932922363)], [[[1.0, 349.0], [73.0, 359.0], [70.0, 376.0], [0.0, 366.0]], ('000-5908[1]', 0.969301164150238)]]	{"store_name": "", "store_addr": "KikusanLandmark ShopB13-15,Atrium,TheLandmark Central,HongKong", "telephone": "2521-3344", "date": "2016/10/27 2016/10/27", "time": "15:08:57 15:09:59", "subtotal": "", "tax": "", "total": "$165.00", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "(T)a,sashimirice", "item_value": "$55.00", "item_quantity": "1"}, {"item_key": "", "item_name": "(T)currychic.f/rice", "item_value": "$55.00", "item_quantity": "1"}, {"item_key": "", "item_name": "(T)porksandwich", "item_value": "$55.00", "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	[[[[130.0, 167.0], [286.0, 162.0], [286.0, 186.0], [131.0, 190.0]], ('PAG INA 7', 0.8757721781730652)], [[[121.0, 192.0], [286.0, 188.0], [286.0, 208.0], [121.0, 213.0]], ('DI BRUGNONI RENZO', 0.9496903419494629)], [[[112.0, 216.0], [295.0, 211.0], [296.0, 232.0], [112.0, 237.0]], ('UIA A.UERTUNNI 173', 0.9356361031532288)], [[[111.0, 239.0], [306.0, 235.0], [306.0, 257.0], [111.0, 261.0]], ('ROMA PI 10694991000', 0.9446644186973572)], [[[325.0, 304.0], [368.0, 304.0], [368.0, 327.0], [325.0, 327.0]], ('EURO', 0.9957125186920166)], [[[56.0, 335.0], [126.0, 331.0], [127.0, 357.0], [57.0, 360.0]], ('REPFRT1', 0.8622695207595825)], [[[325.0, 328.0], [369.0, 328.0], [369.0, 353.0], [325.0, 353.0]], ('1.60', 0.8677211999893188)], [[[59.0, 386.0], [123.0, 386.0], [123.0, 430.0], [59.0, 430.0]], ('TOTALE', 0.9877105355262756)], [[[304.0, 380.0], [371.0, 380.0], [371.0, 423.0], [304.0, 423.0]], ('1,60', 0.8500167727470398)], [[[59.0, 430.0], [139.0, 427.0], [139.0, 451.0], [59.0, 453.0]], ('CONTANTI', 0.9839106798171997)], [[[329.0, 423.0], [370.0, 423.0], [370.0, 446.0], [329.0, 446.0]], ('1,60', 0.8872199058532715)], [[[60.0, 454.0], [111.0, 452.0], [112.0, 474.0], [61.0, 477.0]], ('RESTO', 0.9725462198257446)], [[[328.0, 447.0], [370.0, 447.0], [370.0, 470.0], [328.0, 470.0]], ('0,00', 0.9138166308403015)], [[[61.0, 479.0], [225.0, 473.0], [225.0, 494.0], [61.0, 499.0]], ('SCONIRINO FISCALE', 0.9277201294898987)], [[[262.0, 473.0], [322.0, 473.0], [322.0, 494.0], [262.0, 494.0]], ('000013', 0.9990205764770508)], [[[62.0, 503.0], [234.0, 498.0], [235.0, 518.0], [62.0, 524.0]], ('UENERD1 01-08-2014', 0.9288174510002136)], [[[282.0, 496.0], [333.0, 494.0], [334.0, 516.0], [283.0, 519.0]], ('18:34', 0.9533551931381226)], [[[155.0, 523.0], [314.0, 518.0], [314.0, 542.0], [156.0, 546.0]], ('CE91008347', 0.9879370927810669)], [[[64.0, 550.0], [351.0, 543.0], [352.0, 565.0], [64.0, 573.0]], ('ARRIU.EGRAZIE', 0.9608984589576721)]]	{"store_name": "PAGINA7", "store_addr": "ROMA UIAA.UERTUNNI173 DIBRUGNONIRENZO", "telephone": "", "date": "01-08-2014", "time": "18:34", "subtotal": "", "tax": "", "total": "1,60 \u20ac1,60", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "REPART1", "item_value": "1,60", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[148.0, 157.0], [318.0, 157.0], [318.0, 177.0], [148.0, 177.0]], ('2/5/20171:40:44PM', 0.9515201449394226)], [[[57.0, 176.0], [176.0, 179.0], [176.0, 199.0], [56.0, 196.0]], ('Order Number:', 0.9418296813964844)], [[[265.0, 180.0], [326.0, 180.0], [326.0, 198.0], [265.0, 198.0]], ('1464437', 0.9981839060783386)], [[[48.0, 199.0], [205.0, 201.0], [204.0, 221.0], [47.0, 219.0]], ('Circle K/Marathon', 0.9663416743278503)], [[[288.0, 199.0], [329.0, 199.0], [329.0, 221.0], [288.0, 221.0]], ('5419', 0.9988969564437866)], [[[142.0, 224.0], [300.0, 224.0], [300.0, 241.0], [142.0, 241.0]], ('1830 E WATERLOO RD', 0.898453950881958)], [[[133.0, 245.0], [309.0, 245.0], [309.0, 262.0], [133.0, 262.0]], ('AKRONOH 44306-4292', 0.9388331174850464)], [[[160.0, 266.0], [275.0, 264.0], [276.0, 285.0], [160.0, 287.0]], ('330733-0873', 0.993276059627533)], [[[39.0, 285.0], [135.0, 287.0], [134.0, 308.0], [38.0, 305.0]], ('Register:2', 0.9831323623657227)], [[[298.0, 285.0], [400.0, 282.0], [400.0, 303.0], [299.0, 307.0]], ('T,Brittany', 0.9385678172111511)], [[[40.0, 309.0], [189.0, 309.0], [189.0, 329.0], [40.0, 329.0]], ('Prepay Pump #10', 0.9389086365699768)], [[[343.0, 306.0], [401.0, 301.0], [403.0, 323.0], [345.0, 328.0]], ('$25.00', 0.9332377314567566)], [[[40.0, 332.0], [53.0, 332.0], [53.0, 349.0], [40.0, 349.0]], ('1', 0.9843518137931824)], [[[115.0, 331.0], [250.0, 331.0], [250.0, 352.0], [115.0, 352.0]], ('Easy Rewards RB', 0.9468604922294617)], [[[96.0, 352.0], [267.0, 353.0], [267.0, 373.0], [96.0, 372.0]], ('Easy Rewards Member', 0.9546621441841125)], [[[353.0, 347.0], [403.0, 344.0], [405.0, 366.0], [355.0, 369.0]], ('$0.00', 0.9975516200065613)], [[[68.0, 374.0], [171.0, 374.0], [171.0, 394.0], [68.0, 394.0]], ('Sub.Total', 0.9775789976119995)], [[[345.0, 369.0], [404.0, 365.0], [406.0, 387.0], [347.0, 391.0]], ('$25.00', 0.9897620677947998)], [[[68.0, 395.0], [111.0, 395.0], [111.0, 417.0], [68.0, 417.0]], ('Tax:', 0.9274448156356812)], [[[354.0, 390.0], [404.0, 387.0], [406.0, 408.0], [356.0, 411.0]], ('$0.00', 0.9946352243423462)], [[[68.0, 417.0], [126.0, 417.0], [126.0, 438.0], [68.0, 438.0]], ('Total:', 0.9694559574127197)], [[[347.0, 412.0], [406.0, 410.0], [406.0, 431.0], [347.0, 433.0]], ('$25.00', 0.997581422328949)], [[[67.0, 440.0], [208.0, 438.0], [209.0, 459.0], [67.0, 461.0]], ('Discount Total:', 0.9376419186592102)], [[[355.0, 434.0], [406.0, 432.0], [408.0, 454.0], [357.0, 456.0]], ('$0.00', 0.9962263107299805)], [[[135.0, 462.0], [224.0, 460.0], [225.0, 480.0], [136.0, 482.0]], ('TOTAL', 0.9984224438667297)], [[[295.0, 457.0], [406.0, 454.0], [406.0, 475.0], [296.0, 478.0]], ('$25.00', 0.9946954846382141)], [[[68.0, 486.0], [172.0, 483.0], [172.0, 504.0], [69.0, 507.0]], ('Mastercard:', 0.9924346804618835)], [[[350.0, 478.0], [408.0, 476.0], [408.0, 498.0], [351.0, 500.0]], ('$25.00', 0.9974901080131531)], [[[69.0, 508.0], [181.0, 508.0], [181.0, 528.0], [69.0, 528.0]], ('Change', 0.9958394169807434)], [[[315.0, 501.0], [408.0, 499.0], [408.0, 520.0], [316.0, 522.0]], ('$0.00', 0.9915279150009155)], [[[353.0, 568.0], [412.0, 565.0], [413.0, 589.0], [353.0, 592.0]], ('$25.00', 0.9945032000541687)], [[[38.0, 578.0], [263.0, 569.0], [264.0, 589.0], [39.0, 598.0]], ('Mastercar7Acct6713', 0.9936082363128662)], [[[38.0, 601.0], [190.0, 594.0], [191.0, 615.0], [39.0, 622.0]], ('AUTH00-F169E9', 0.9623076319694519)], [[[37.0, 626.0], [301.0, 614.0], [302.0, 636.0], [38.0, 647.0]], ('System Trace Audit #738545', 0.9565830230712891)], [[[37.0, 649.0], [181.0, 643.0], [182.0, 664.0], [38.0, 670.0]], ('INVOICE:134040', 0.970791757106781)], [[[33.0, 721.0], [126.0, 718.0], [127.0, 743.0], [34.0, 747.0]], ('Signature', 0.9965024590492249)], [[[38.0, 772.0], [49.0, 772.0], [49.0, 789.0], [38.0, 789.0]], ('X', 0.7942801713943481)], [[[146.0, 859.0], [319.0, 853.0], [319.0, 874.0], [147.0, 880.0]], ('Thank You', 0.9523608088493347)], [[[137.0, 883.0], [328.0, 876.0], [328.0, 896.0], [138.0, 899.0]], ('Come Again', 0.9559000730514526)]]	{"store_name": "", "store_addr": "1830EWATERLOORD AKRON, OH44306-4292", "telephone": "(330)733-0873", "date": "2/5/2017", "time": "1:40:44PM", "subtotal": "$25.00", "tax": "$0.00", "total": "$25.00 $25.00 $25.00 $25.00", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "PrepayPump#10", "item_value": "$25.00", "item_quantity": "1"}, {"item_key": "", "item_name": "EasyRewardsRB", "item_value": "$0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "EasyRewardsMember", "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	[[[[862.0, 262.0], [1117.0, 273.0], [1116.0, 311.0], [860.0, 300.0]], ('Soclete OLISTEP', 0.9347888231277466)], [[[826.0, 293.0], [1148.0, 309.0], [1147.0, 346.0], [824.0, 331.0]], ('Philipp Plein Paris', 0.856922447681427)], [[[843.0, 331.0], [1134.0, 342.0], [1132.0, 378.0], [841.0, 366.0]], ('238 rue de Rivol1', 0.9057360291481018)], [[[892.0, 368.0], [1090.0, 375.0], [1089.0, 409.0], [891.0, 402.0]], ('75001 Par1s', 0.9528741836547852)], [[[751.0, 393.0], [1207.0, 407.0], [1205.0, 448.0], [750.0, 435.0]], ('Phone:+33 01 42 60 29 23', 0.8843185305595398)], [[[616.0, 533.0], [909.0, 553.0], [907.0, 586.0], [614.0, 566.0]], ('4057322989847 36', 0.9741939306259155)], [[[608.0, 568.0], [947.0, 592.0], [944.0, 628.0], [605.0, 603.0]], ('FW16SW151745', 0.9491081237792969)], [[[604.0, 597.0], [1049.0, 634.0], [1046.0, 676.0], [601.0, 639.0]], ('low sneakers bad blood"', 0.9532278180122375)], [[[1153.0, 624.0], [1346.0, 607.0], [1349.0, 645.0], [1156.0, 661.0]], ('595.00 EUR', 0.9023175239562988)], [[[595.0, 663.0], [665.0, 672.0], [659.0, 714.0], [590.0, 705.0]], ('SUM', 0.9969744682312012)], [[[865.0, 698.0], [888.0, 698.0], [888.0, 735.0], [865.0, 735.0]], ('1', 0.8543094396591187)], [[[1156.0, 695.0], [1353.0, 669.0], [1358.0, 711.0], [1162.0, 737.0]], ('595,00 EUR', 0.9124000668525696)], [[[587.0, 707.0], [679.0, 718.0], [673.0, 764.0], [581.0, 753.0]], ('Cash', 0.9969142079353333)], [[[1160.0, 742.0], [1358.0, 717.0], [1362.0, 755.0], [1165.0, 781.0]], ('600,00 EUR', 0.904948890209198)], [[[579.0, 801.0], [863.0, 822.0], [861.0, 859.0], [576.0, 839.0]], ('Return in cash', 0.9491990208625793)], [[[1193.0, 819.0], [1369.0, 808.0], [1372.0, 845.0], [1195.0, 857.0]], ('5,00EUR', 0.9319636225700378)], [[[569.0, 890.0], [683.0, 890.0], [683.0, 927.0], [569.0, 927.0]], ('VAT', 0.9757677912712097)], [[[665.0, 893.0], [844.0, 898.0], [843.0, 934.0], [664.0, 929.0]], ('2000%', 0.9963798522949219)], [[[896.0, 898.0], [1144.0, 896.0], [1144.0, 931.0], [896.0, 933.0]], ('59500 EUR =', 0.9104194641113281)], [[[1194.0, 896.0], [1383.0, 894.0], [1383.0, 931.0], [1194.0, 933.0]], ('99,17 EUR', 0.9061801433563232)], [[[558.0, 981.0], [773.0, 981.0], [773.0, 1017.0], [558.0, 1017.0]], ('Served You', 0.9639488458633423)], [[[894.0, 979.0], [1062.0, 979.0], [1062.0, 1017.0], [894.0, 1017.0]], ('Stephane', 0.9958034753799438)], [[[558.0, 1029.0], [1171.0, 1025.0], [1171.0, 1067.0], [559.0, 1071.0]], ('All sale items are final sale', 0.9428321719169617)], [[[564.0, 1081.0], [1339.0, 1075.0], [1340.0, 1117.0], [565.0, 1123.0]], ('Jewelery and underwear are final sale', 0.9381960034370422)], [[[567.0, 1129.0], [1327.0, 1123.0], [1327.0, 1164.0], [567.0, 1171.0]], ('Merchandise in salable condition wi11', 0.9443970918655396)], [[[569.0, 1179.0], [1385.0, 1171.0], [1386.0, 1212.0], [569.0, 1221.0]], ('be accepted for store credit or exchange', 0.9640370607376099)], [[[573.0, 1227.0], [1241.0, 1219.0], [1242.0, 1260.0], [573.0, 1269.0]], ('within 7 days when accompanied by', 0.9548637270927429)], [[[577.0, 1279.0], [920.0, 1271.0], [921.0, 1308.0], [578.0, 1317.0]], ('original receipt.', 0.9748254418373108)], [[[579.0, 1323.0], [841.0, 1316.0], [842.0, 1358.0], [580.0, 1365.0]], ('Thank you !!!', 0.9108476042747498)], [[[575.0, 1365.0], [1300.0, 1356.0], [1300.0, 1398.0], [575.0, 1406.0]], ('Our products have a limi ted warranty', 0.9416537880897522)], [[[573.0, 1413.0], [1262.0, 1406.0], [1263.0, 1442.0], [573.0, 1448.0]], ('that covers defects in material or', 0.9562366604804993)], [[[560.0, 1458.0], [1314.0, 1450.0], [1315.0, 1487.0], [561.0, 1496.0]], ('workmanship: two years from the date', 0.943191647529602)], [[[552.0, 1509.0], [1318.0, 1498.0], [1319.0, 1541.0], [552.0, 1552.0]], ('of purchase by showing this original', 0.9520438313484192)], [[[543.0, 1567.0], [717.0, 1558.0], [720.0, 1601.0], [545.0, 1611.0]], ('receipt.', 0.9966692924499512)], [[[541.0, 1619.0], [1339.0, 1604.0], [1340.0, 1648.0], [542.0, 1663.0]], ('Please refer to http://www.plein.com', 0.9572123289108276)], [[[539.0, 1679.0], [1301.0, 1662.0], [1302.0, 1704.0], [540.0, 1721.0]], ('for detailed information regarding', 0.9606754183769226)], [[[524.0, 1740.0], [1199.0, 1718.0], [1201.0, 1768.0], [526.0, 1790.0]], ('sunglasses & watches handling', 0.9609595537185669)], [[[516.0, 1807.0], [822.0, 1795.0], [824.0, 1845.0], [518.0, 1857.0]], ('and warranty.', 0.9457047581672668)], [[[1240.0, 1921.0], [1325.0, 1921.0], [1325.0, 1971.0], [1240.0, 1971.0]], ('2302', 0.9985696077346802)], [[[1410.0, 1917.0], [1492.0, 1917.0], [1492.0, 1967.0], [1410.0, 1967.0]], ('2301', 0.9986346960067749)], [[[1010.0, 1931.0], [1058.0, 1931.0], [1058.0, 1977.0], [1010.0, 1977.0]], ('23', 0.9990828037261963)], [[[1117.0, 1929.0], [1154.0, 1929.0], [1154.0, 1971.0], [1117.0, 1971.0]], ('1', 0.9593154191970825)], [[[499.0, 1951.0], [961.0, 1931.0], [963.0, 1981.0], [501.0, 1999.0]], ('24.09.16 19:24 23135196', 0.9359420537948608)]]	{"store_name": "PHILIPPPLEIN", "store_addr": "PhilippPleinParis 238ruedeRivoli 75001Paris", "telephone": "+33(0)142602923", "date": "24.09.16", "time": "19:24", "subtotal": "", "tax": "99,17", "total": "595,00", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "lowsneakers\"badblood\"", "item_value": "595,00", "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	[[[[200.0, 0.0], [295.0, 4.0], [295.0, 18.0], [199.0, 14.0]], ('Pnt Shp o Sah', 0.720643162727356)], [[[210.0, 11.0], [285.0, 14.0], [285.0, 27.0], [209.0, 24.0]], ('407 East River Street', 0.8468724489212036)], [[[212.0, 23.0], [281.0, 24.0], [281.0, 35.0], [212.0, 34.0]], ('LONE RLRARS', 0.6009175777435303)], [[[224.0, 32.0], [269.0, 34.0], [269.0, 45.0], [223.0, 42.0]], ('912-232-8612', 0.938749372959137)], [[[202.0, 60.0], [293.0, 62.0], [293.0, 73.0], [202.0, 71.0]], ('Saes Recept', 0.8796222805976868)], [[[177.0, 90.0], [228.0, 90.0], [228.0, 101.0], [177.0, 101.0]], ('Transaction', 0.9562153220176697)], [[[245.0, 89.0], [270.0, 91.0], [269.0, 103.0], [243.0, 101.0]], ('338054', 0.8628998398780823)], [[[177.0, 100.0], [240.0, 100.0], [240.0, 111.0], [177.0, 111.0]], ('Date2/27/2014', 0.9750984907150269)], [[[176.0, 110.0], [236.0, 110.0], [236.0, 121.0], [176.0, 121.0]], ('Cashier Terry', 0.9093224406242371)], [[[245.0, 101.0], [305.0, 101.0], [305.0, 112.0], [245.0, 112.0]], ('Tne3:55:29PH', 0.7967005372047424)], [[[245.0, 111.0], [288.0, 111.0], [288.0, 121.0], [245.0, 121.0]], ('Register.', 0.8800367712974548)], [[[177.0, 139.0], [194.0, 139.0], [194.0, 150.0], [177.0, 150.0]], ('Iten', 0.9873632788658142)], [[[217.0, 139.0], [259.0, 139.0], [259.0, 150.0], [217.0, 150.0]], ('Description', 0.9607248902320862)], [[[296.0, 139.0], [319.0, 139.0], [319.0, 150.0], [296.0, 150.0]], ('Anount', 0.8817553520202637)], [[[177.0, 156.0], [277.0, 156.0], [277.0, 169.0], [177.0, 169.0]], ('05313681690881690PSNHndckd', 0.8937207460403442)], [[[298.0, 157.0], [319.0, 157.0], [319.0, 168.0], [298.0, 168.0]], ('$1.29', 0.9042083024978638)], [[[218.0, 168.0], [278.0, 168.0], [278.0, 178.0], [218.0, 178.0]], ('Discount codeSA', 0.9201213121414185)], [[[178.0, 185.0], [280.0, 185.0], [280.0, 198.0], [178.0, 198.0]], ('05313688354188354PSW Brittle', 0.8187039494514465)], [[[218.0, 177.0], [250.0, 177.0], [250.0, 188.0], [218.0, 188.0]], ('Discount', 0.9852529764175415)], [[[293.0, 176.0], [319.0, 176.0], [319.0, 188.0], [293.0, 188.0]], ('$1.29', 0.9682400822639465)], [[[297.0, 184.0], [320.0, 184.0], [320.0, 199.0], [297.0, 199.0]], ("66'", 0.5161210894584656)], [[[177.0, 195.0], [280.0, 195.0], [280.0, 208.0], [177.0, 208.0]], ('05313681319881319PSN Dark Br', 0.8933274149894714)], [[[297.0, 194.0], [320.0, 194.0], [320.0, 209.0], [297.0, 209.0]], ('9.99', 0.8789738416671753)], [[[178.0, 204.0], [279.0, 204.0], [279.0, 217.0], [178.0, 217.0]], ('05313681319881319P Dark Br', 0.8962286710739136)], [[[298.0, 204.0], [319.0, 204.0], [319.0, 216.0], [298.0, 216.0]], ('$9.99', 0.9475990533828735)], [[[218.0, 215.0], [279.0, 215.0], [279.0, 226.0], [218.0, 226.0]], ('Discount cosePR', 0.862475574016571)], [[[219.0, 225.0], [250.0, 225.0], [250.0, 236.0], [219.0, 236.0]], ('Discount', 0.8743102550506592)], [[[294.0, 224.0], [318.0, 224.0], [318.0, 235.0], [294.0, 235.0]], ('(89.99)', 0.8359388709068298)], [[[178.0, 242.0], [280.0, 240.0], [280.0, 253.0], [178.0, 256.0]], ('711381308223161014Fig6n', 0.7400385737419128)], [[[179.0, 234.0], [279.0, 234.0], [279.0, 244.0], [179.0, 244.0]], ('05313683367188367Wasab1Pean', 0.881970226764679)], [[[297.0, 233.0], [319.0, 233.0], [319.0, 244.0], [297.0, 244.0]], ('$8.99', 0.8048022389411926)], [[[298.0, 242.0], [319.0, 242.0], [319.0, 254.0], [298.0, 254.0]], ('6818', 0.5038976073265076)], [[[178.0, 261.0], [280.0, 258.0], [280.0, 271.0], [178.0, 273.0]], ('0761381006778utter Pat r', 0.8020765781402588)], [[[180.0, 253.0], [279.0, 253.0], [279.0, 262.0], [180.0, 262.0]], ('711381309193161011Sp1c8d Rus', 0.9234676361083984)], [[[298.0, 252.0], [319.0, 252.0], [319.0, 263.0], [298.0, 263.0]], ('$7.99', 0.981020450592041)], [[[179.0, 270.0], [279.0, 269.0], [279.0, 280.0], [179.0, 281.0]], ('078138100877Butter Pearut Cru', 0.8206762075424194)], [[[179.0, 279.0], [280.0, 279.0], [280.0, 292.0], [179.0, 292.0]], ('076138100677Butter Peanut Cna', 0.8377705216407776)], [[[298.0, 278.0], [319.0, 278.0], [319.0, 290.0], [298.0, 290.0]], ('$2.29', 0.9246611595153809)], [[[247.0, 306.0], [280.0, 306.0], [280.0, 317.0], [247.0, 317.0]], ('SubTotal', 0.8160192370414734)], [[[237.0, 315.0], [280.0, 315.0], [280.0, 326.0], [237.0, 326.0]], ('A Sales Tax', 0.8132005333900452)], [[[295.0, 306.0], [318.0, 306.0], [318.0, 318.0], [295.0, 318.0]], ('$49.82', 0.9682636857032776)], [[[260.0, 324.0], [279.0, 324.0], [279.0, 335.0], [260.0, 335.0]], ('Total', 0.9873737096786499)], [[[297.0, 315.0], [319.0, 315.0], [319.0, 327.0], [297.0, 327.0]], ('$3.49', 0.9600390195846558)], [[[296.0, 325.0], [318.0, 325.0], [318.0, 336.0], [296.0, 336.0]], ('$53.31', 0.9106103777885437)], [[[234.0, 338.0], [280.0, 342.0], [279.0, 353.0], [233.0, 349.0]], ('visa edered', 0.6632383465766907)], [[[204.0, 350.0], [279.0, 351.0], [279.0, 362.0], [204.0, 360.0]], ('Cardx1939', 0.6633059978485107)], [[[295.0, 341.0], [319.0, 344.0], [318.0, 355.0], [294.0, 352.0]], ('53.31', 0.8401411771774292)], [[[236.0, 357.0], [280.0, 360.0], [280.0, 371.0], [235.0, 368.0]], ('Ah058250', 0.8894200325012207)], [[[242.0, 366.0], [280.0, 369.0], [280.0, 380.0], [241.0, 377.0]], ('erge De', 0.5848766565322876)], [[[298.0, 370.0], [319.0, 370.0], [319.0, 381.0], [298.0, 381.0]], ('80.00', 0.8864227533340454)]]	{"store_name": "", "store_addr": "407EastRiverStreet", "telephone": "912-232-8612", "date": "2/27/2014", "time": "3:55:29PM", "subtotal": "$49.82", "tax": "$3.49", "total": "$53.31", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "PSWBrittle", "item_value": "$1.29", "item_quantity": "1"}, {"item_key": "", "item_name": "PSWDarkBr", "item_value": "$8.99", "item_quantity": "1"}, {"item_key": "", "item_name": "PSWDarkBr", "item_value": "$9.99", "item_quantity": "1"}, {"item_key": "", "item_name": "SpicedRum", "item_value": "$9.99", "item_quantity": "1"}, {"item_key": "", "item_name": "PeanutCru", "item_value": "$8.99", "item_quantity": "1"}, {"item_key": "", "item_name": "PeanutCru", "item_value": "$7.99", "item_quantity": "1"}, {"item_key": "", "item_name": "PeanutCru", "item_value": "$7.99", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "$2.29", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "$2.29", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "$2.29", "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	[[[[36.0, 46.0], [234.0, 47.0], [234.0, 68.0], [36.0, 67.0]], ('TOYPLANETDUMRO', 0.9194733500480652)], [[[268.0, 47.0], [521.0, 49.0], [521.0, 70.0], [268.0, 68.0]], ('JUGUETERIA-PAPELERIA', 0.9533267021179199)], [[[36.0, 79.0], [298.0, 81.0], [298.0, 102.0], [36.0, 100.0]], ('COMERCIAL TEBARE S.L.', 0.8992809057235718)], [[[350.0, 80.0], [525.0, 82.0], [525.0, 103.0], [349.0, 101.0]], ('TEN0-967441823', 0.9447150230407715)], [[[33.0, 113.0], [194.0, 113.0], [194.0, 134.0], [33.0, 134.0]], ('02630 LARODA', 0.9436500072479248)], [[[259.0, 112.0], [383.0, 114.0], [383.0, 138.0], [258.0, 136.0]], ('(ALBACETE)', 0.9744820594787598)], [[[370.0, 136.0], [528.0, 136.0], [528.0, 156.0], [370.0, 156.0]], ('Coreowgsereh,', 0.5875806212425232)], [[[33.0, 176.0], [389.0, 181.0], [389.0, 204.0], [32.0, 199.0]], ('CLIENTES VARnooWloVebQdicmeo', 0.6992248892784119)], [[[32.0, 209.0], [196.0, 211.0], [196.0, 235.0], [31.0, 233.0]], ('VENTACONTADO', 0.9906874299049377)], [[[231.0, 222.0], [273.0, 222.0], [273.0, 237.0], [231.0, 237.0]], ('2000', 0.5953672528266907)], [[[297.0, 214.0], [519.0, 214.0], [519.0, 235.0], [297.0, 235.0]], ('Tiquet11/021854', 0.9012355208396912)], [[[35.0, 242.0], [523.0, 246.0], [523.0, 270.0], [35.0, 266.0]], ('CajeroeneCaja6t9Fecha24.11.2011', 0.8322694897651672)], [[[33.0, 277.0], [207.0, 277.0], [207.0, 298.0], [33.0, 298.0]], ('Cliente 000000', 0.9175072312355042)], [[[418.0, 277.0], [498.0, 280.0], [497.0, 305.0], [417.0, 302.0]], ('Pago:T', 0.8936669826507568)], [[[140.0, 291.0], [425.0, 293.0], [425.0, 321.0], [140.0, 319.0]], ('aealanelqyos.wnw', 0.5324108600616455)], [[[135.0, 321.0], [404.0, 324.0], [403.0, 354.0], [135.0, 351.0]], ('e.dsnsigrosduo..', 0.616887092590332)], [[[46.0, 340.0], [146.0, 340.0], [146.0, 364.0], [46.0, 364.0]], ('ARTICULO', 0.9956523776054382)], [[[35.0, 409.0], [384.0, 409.0], [384.0, 429.0], [35.0, 429.0]], ('PASATELD DE MIEDO COLECCTON-', 0.8952715992927551)], [[[407.0, 408.0], [424.0, 408.0], [424.0, 430.0], [407.0, 430.0]], ('1', 0.9689695835113525)], [[[471.0, 407.0], [528.0, 407.0], [528.0, 437.0], [471.0, 437.0]], ('4,95', 0.91961270570755)], [[[31.0, 440.0], [384.0, 442.0], [384.0, 464.0], [31.0, 461.0]], ('PASATELO DE MIEDO COLECCION-', 0.9310998916625977)], [[[406.0, 442.0], [423.0, 442.0], [423.0, 462.0], [406.0, 462.0]], ('1', 0.9411944150924683)], [[[468.0, 440.0], [524.0, 440.0], [524.0, 470.0], [468.0, 470.0]], ('4,95', 0.8684219121932983)], [[[34.0, 473.0], [382.0, 476.0], [382.0, 496.0], [34.0, 493.0]], ('PASATELO DE MIEDO COLECCTON-', 0.8925272226333618)], [[[406.0, 478.0], [421.0, 476.0], [425.0, 496.0], [409.0, 498.0]], ('1', 0.847998321056366)], [[[472.0, 473.0], [526.0, 473.0], [526.0, 504.0], [472.0, 504.0]], ('4,95', 0.9542874097824097)], [[[93.0, 535.0], [316.0, 540.0], [316.0, 567.0], [93.0, 562.0]], ('Total Tiquet.ss...', 0.7813633680343628)], [[[395.0, 538.0], [462.0, 538.0], [462.0, 567.0], [395.0, 567.0]], ('14,85', 0.9400376081466675)], [[[90.0, 570.0], [264.0, 574.0], [263.0, 598.0], [90.0, 594.0]], ('Recibido..s...', 0.8073234558105469)], [[[393.0, 572.0], [460.0, 572.0], [460.0, 601.0], [393.0, 601.0]], ('14,85', 0.9430791735649109)], [[[92.0, 604.0], [315.0, 606.0], [315.0, 633.0], [92.0, 631.0]], ('Entrega Tarjeta...', 0.9340155124664307)], [[[397.0, 606.0], [462.0, 606.0], [462.0, 632.0], [397.0, 632.0]], ('14,85', 0.9339381456375122)], [[[92.0, 670.0], [197.0, 675.0], [196.0, 696.0], [91.0, 691.0]], ('Euros...', 0.8209611177444458)], [[[394.0, 673.0], [520.0, 673.0], [520.0, 697.0], [394.0, 697.0]], ('14,85EUR0S', 0.879325270652771)], [[[94.0, 703.0], [278.0, 709.0], [278.0, 730.0], [94.0, 724.0]], ('Pesetassssssas.', 0.7204059362411499)], [[[394.0, 705.0], [520.0, 705.0], [520.0, 729.0], [394.0, 729.0]], ('2.471PTAS.', 0.8879054188728333)], [[[153.0, 735.0], [305.0, 737.0], [304.0, 761.0], [153.0, 759.0]], ('IVA INCLUIDO', 0.9544370174407959)], [[[34.0, 802.0], [521.0, 805.0], [521.0, 825.0], [34.0, 822.0]], ('15 DIAS MAXIMQ PARA CAMBIO D DEUOLUCION', 0.8524290323257446)], [[[80.0, 835.0], [468.0, 838.0], [468.0, 859.0], [80.0, 856.0]], ('IMPRESCINDIBLE TICKET DE COMPRA', 0.9526715278625488)], [[[34.0, 868.0], [521.0, 871.0], [521.0, 892.0], [34.0, 889.0]], ('ART CARNAVAL NO ADMITIMOS DEVOLUC IONES', 0.9287672638893127)]]	{"store_name": "", "store_addr": "02630LARODA(ALBACETE)", "telephone": "TFNO-967441823", "date": "Fecha24.11.2011", "time": "", "subtotal": "", "tax": "", "total": "14,85 14,85 14,85 14.85EUROS", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "PASATELODEMIEDOCOLECCION-", "item_value": "4.95", "item_quantity": "1"}, {"item_key": "", "item_name": "PASATELODEMIEDOCOLECCION-", "item_value": "4.95", "item_quantity": "1"}, {"item_key": "", "item_name": "PASATELODEMIEDOCOLECCION-", "item_value": "4.95", "item_quantity": "1"}, {"item_key": "ARTICULO", "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	[[[[381.0, 176.0], [744.0, 217.0], [736.0, 286.0], [373.0, 244.0]], ('TESCO', 0.9941816329956055)], [[[407.0, 290.0], [711.0, 325.0], [706.0, 366.0], [402.0, 332.0]], ('EXTRAMUTIARA', 0.9799146056175232)], [[[291.0, 342.0], [869.0, 396.0], [865.0, 436.0], [287.0, 382.0]], ('TESCO STOFES HALAYSIA)SON.BHD', 0.8892817497253418)], [[[365.0, 387.0], [783.0, 418.0], [780.0, 463.0], [362.0, 432.0]], ('Corpary RegNo.521419', 0.9364609718322754)], [[[299.0, 451.0], [860.0, 493.0], [857.0, 534.0], [296.0, 492.0]], ("THANK-YOU FOR'SHOPPING AT TESCO", 0.8892474174499512)], [[[247.0, 509.0], [720.0, 541.0], [718.0, 579.0], [245.0, 547.0]], ('08888010320453 #BUTTERCUP', 0.939525842666626)], [[[247.0, 549.0], [724.0, 579.0], [721.0, 617.0], [245.0, 588.0]], ('09556046111C60 BURUHCOOK', 0.9352896809577942)], [[[819.0, 544.0], [904.0, 551.0], [901.0, 589.0], [816.0, 583.0]], ('3.99$', 0.9192264676094055)], [[[247.0, 588.0], [723.0, 612.0], [721.0, 652.0], [245.0, 628.0]], ('09555490300402 ALIF C00KI', 0.9309915900230408)], [[[805.0, 587.0], [848.0, 578.0], [856.0, 615.0], [812.0, 624.0]], ('13.', 0.8982312083244324)], [[[811.0, 618.0], [854.0, 618.0], [854.0, 655.0], [811.0, 655.0]], ('13.', 0.9772603511810303)], [[[247.0, 628.0], [723.0, 649.0], [721.0, 689.0], [245.0, 668.0]], ('00049248012154 BASS0 GRAP', 0.9317378401756287)], [[[811.0, 657.0], [876.0, 657.0], [876.0, 688.0], [811.0, 688.0]], ('29.9', 0.9914982914924622)], [[[247.0, 668.0], [727.0, 687.0], [725.0, 727.0], [245.0, 708.0]], ('03415581165180 HD MANG0R', 0.931032121181488)], [[[809.0, 688.0], [911.0, 692.0], [909.0, 729.0], [807.0, 725.0]], ('30.89$', 0.8745861649513245)], [[[246.0, 708.0], [727.0, 722.0], [725.0, 762.0], [245.0, 748.0]], ('0955521656575T BABYIP', 0.9512345194816589)], [[[827.0, 723.0], [912.0, 723.0], [912.0, 760.0], [827.0, 760.0]], ('2.99$', 0.9059282541275024)], [[[246.0, 750.0], [728.0, 757.0], [727.0, 797.0], [245.0, 790.0]], ('09555216565474 T BABYIP', 0.941881000995636)], [[[828.0, 760.0], [912.0, 760.0], [912.0, 798.0], [828.0, 798.0]], ('2.99$', 0.9202281832695007)], [[[983.0, 763.0], [1194.0, 767.0], [1192.0, 819.0], [981.0, 815.0]], ('for shop', 0.9816619157791138)], [[[249.0, 793.0], [712.0, 793.0], [712.0, 832.0], [249.0, 832.0]], ('09555216565436 T B/WIPES', 0.9374950528144836)], [[[827.0, 793.0], [917.0, 793.0], [917.0, 838.0], [827.0, 838.0]], ('2.99$', 0.8986459970474243)], [[[247.0, 835.0], [731.0, 835.0], [731.0, 873.0], [247.0, 873.0]], ('02132050003C02 GR0CERY HO', 0.9228324294090271)], [[[830.0, 833.0], [915.0, 833.0], [915.0, 872.0], [830.0, 872.0]], ('3.00S', 0.9433304071426392)], [[[801.0, 875.0], [905.0, 875.0], [905.0, 918.0], [801.0, 918.0]], ('103.54', 0.9940018653869629)], [[[247.0, 885.0], [353.0, 885.0], [353.0, 928.0], [247.0, 928.0]], ('TOTAL', 0.9983305931091309)], [[[978.0, 891.0], [1195.0, 879.0], [1197.0, 926.0], [980.0, 937.0]], ('ent on de', 0.903148889541626)], [[[803.0, 913.0], [905.0, 913.0], [905.0, 957.0], [803.0, 957.0]], ('103.54', 0.9943735003471375)], [[[243.0, 929.0], [569.0, 921.0], [570.0, 966.0], [244.0, 974.0]], ('GHS Pynt At Door', 0.956039547920227)], [[[829.0, 953.0], [907.0, 946.0], [912.0, 991.0], [833.0, 998.0]], ('0.00', 0.9953187108039856)], [[[993.0, 947.0], [1197.0, 941.0], [1199.0, 990.0], [995.0, 995.0]], ('before n', 0.9616569876670837)], [[[243.0, 972.0], [457.0, 964.0], [459.0, 1009.0], [245.0, 1017.0]], ('CHANGE DUE', 0.9676772952079773)], [[[788.0, 1069.0], [961.0, 1059.0], [964.0, 1099.0], [791.0, 1109.0]], ('Tax Anount', 0.8699526786804199)], [[[454.0, 1089.0], [736.0, 1069.0], [739.0, 1109.0], [457.0, 1129.0]], ('Art Exclude GST', 0.8917462229728699)], [[[197.0, 1104.0], [378.0, 1094.0], [381.0, 1141.0], [200.0, 1151.0]], ('GST Rate', 0.9374521970748901)], [[[806.0, 1102.0], [885.0, 1102.0], [885.0, 1145.0], [806.0, 1145.0]], ('0.00', 0.9953418374061584)], [[[591.0, 1118.0], [690.0, 1111.0], [693.0, 1154.0], [594.0, 1161.0]], ('26.70', 0.994005560874939)], [[[797.0, 1126.0], [894.0, 1121.0], [899.0, 1230.0], [802.0, 1234.0]], ('4:33', 0.7885839939117432)], [[[201.0, 1148.0], [254.0, 1148.0], [254.0, 1193.0], [201.0, 1193.0]], ('0%', 0.9477825164794922)], [[[289.0, 1141.0], [316.0, 1144.0], [311.0, 1183.0], [284.0, 1179.0]], ('7', 0.547519326210022)], [[[590.0, 1154.0], [693.0, 1147.0], [697.0, 1197.0], [594.0, 1204.0]], ('72.49', 0.9845321774482727)], [[[191.0, 1190.0], [318.0, 1177.0], [324.0, 1232.0], [197.0, 1245.0]], ('6%S', 0.7699937224388123)], [[[593.0, 1198.0], [693.0, 1189.0], [697.0, 1234.0], [598.0, 1243.0]], ('99.19', 0.9892228841781616)], [[[195.0, 1240.0], [310.0, 1227.0], [316.0, 1275.0], [201.0, 1288.0]], ('Total', 0.9933754205703735)], [[[1027.0, 1266.0], [1191.0, 1241.0], [1199.0, 1296.0], [1035.0, 1321.0]], ('Quanti', 0.9971101880073547)], [[[202.0, 1308.0], [971.0, 1225.0], [974.0, 1259.0], [205.0, 1341.0]], ('x*******x*xxxxxx***x', 0.5302614569664001)], [[[208.0, 1393.0], [926.0, 1303.0], [932.0, 1350.0], [214.0, 1440.0]], ('Points collection for July Statenent', 0.948218047618866)], [[[212.0, 1442.0], [912.0, 1348.0], [918.0, 1393.0], [218.0, 1487.0]], ('lhas ended on 29 May. We are sending', 0.8914942145347595)], [[[215.0, 1489.0], [910.0, 1388.0], [917.0, 1435.0], [222.0, 1535.0]], ('out the statement starting 27 June', 0.9443573951721191)], [[[1137.0, 1492.0], [1164.0, 1492.0], [1164.0, 1532.0], [1137.0, 1532.0]], ('1', 0.9899148941040039)], [[[366.0, 1550.0], [958.0, 1461.0], [965.0, 1506.0], [373.0, 1595.0]], ('update your profile vla Tesco', 0.9019379615783691)], [[[647.0, 1550.0], [977.0, 1503.0], [983.0, 1543.0], [653.0, 1590.0]], ('or ca11 1300131313', 0.9063149690628052)]]	{"store_name": "TESCO", "store_addr": "", "telephone": "", "date": "", "time": "", "subtotal": "", "tax": "4.35 4.35 0.00", "total": "103.54 103.54", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "02132050003002GROCERYHO", "item_value": "3.00S", "item_quantity": "1"}, {"item_key": "", "item_name": "09555216565436TB/WIPES", "item_value": "2.99S", "item_quantity": "1"}, {"item_key": "", "item_name": "09555216565474TBABYWIP", "item_value": "2.99S", "item_quantity": "1"}, {"item_key": "", "item_name": "09555216565375TBABYWIP", "item_value": "2.99S", "item_quantity": "1"}, {"item_key": "", "item_name": "03415581165180HDMANGOR", "item_value": "30.89S", "item_quantity": "1"}, {"item_key": "", "item_name": "00049248012154BASSOGRAP", "item_value": "29.99S", "item_quantity": "1"}, {"item_key": "", "item_name": "09555490300402ALIFCOOKI", "item_value": "13.35Z", "item_quantity": "1"}, {"item_key": "", "item_name": "09556046111060BURUHCOOK", "item_value": "13.35Z", "item_quantity": "1"}, {"item_key": "", "item_name": "08888010320453#BUTIERCUP", "item_value": "3.99S", "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	[[[[246.0, 73.0], [484.0, 84.0], [482.0, 119.0], [244.0, 108.0]], ('RETURN', 0.9961835741996765)], [[[1.0, 163.0], [707.0, 184.0], [706.0, 224.0], [0.0, 203.0]], ('IG RCPTID#2-3314-2022-0113-1847-8', 0.9677349328994751)], [[[0.0, 200.0], [143.0, 205.0], [141.0, 240.0], [0.0, 235.0]], ('7342222', 0.9932986497879028)], [[[259.0, 205.0], [426.0, 212.0], [424.0, 247.0], [258.0, 240.0]], ('PS4GAME', 0.984222948551178)], [[[661.0, 220.0], [798.0, 225.0], [796.0, 260.0], [660.0, 255.0]], ('$39.99-', 0.9721158146858215)], [[[0.0, 235.0], [138.0, 240.0], [136.0, 275.0], [0.0, 270.0]], ('7340001', 0.999363124370575)], [[[261.0, 236.0], [426.0, 244.0], [424.0, 280.0], [259.0, 273.0]], ('PS4 GAME', 0.9384491443634033)], [[[663.0, 251.0], [798.0, 257.0], [796.0, 292.0], [661.0, 286.0]], ('666', 0.7346603870391846)], [[[0.0, 270.0], [137.0, 270.0], [137.0, 305.0], [0.0, 305.0]], ('7340899', 0.9987345337867737)], [[[259.0, 271.0], [426.0, 279.0], [424.0, 314.0], [258.0, 306.0]], ('PS4 GAME', 0.9226064682006836)], [[[589.0, 288.0], [602.0, 288.0], [602.0, 308.0], [589.0, 308.0]], ('-', 0.6618149876594543)], [[[663.0, 285.0], [801.0, 290.0], [800.0, 325.0], [661.0, 320.0]], ('$40.00-', 0.9710677266120911)], [[[302.0, 310.0], [606.0, 319.0], [605.0, 354.0], [301.0, 345.0]], ('RETURN SUBTOTAL', 0.9635986685752869)], [[[644.0, 318.0], [804.0, 324.0], [803.0, 359.0], [643.0, 353.0]], ('$119.98-', 0.991040050983429)], [[[11.0, 336.0], [603.0, 354.0], [602.0, 389.0], [10.0, 371.0]], ('=FLTAX6.0000%0n$119.98', 0.9444911479949951)], [[[685.0, 353.0], [806.0, 359.0], [804.0, 396.0], [683.0, 389.0]], ('$7.20-', 0.9604768753051758)], [[[363.0, 381.0], [614.0, 387.0], [613.0, 424.0], [362.0, 418.0]], ('RETURN TOTAL', 0.9682422280311584)], [[[644.0, 388.0], [808.0, 394.0], [806.0, 430.0], [643.0, 425.0]], ('$127.18-', 0.9859452247619629)], [[[239.0, 450.0], [566.0, 457.0], [565.0, 495.0], [238.0, 488.0]], ('PURCHASE', 0.9955301880836487)], [[[235.0, 563.0], [604.0, 567.0], [604.0, 605.0], [235.0, 602.0]], ('SPECIAL PROMOTION-', 0.9533153176307678)], [[[3.0, 600.0], [134.0, 600.0], [134.0, 642.0], [3.0, 642.0]], ('340001', 0.9992157816886902)], [[[259.0, 603.0], [425.0, 607.0], [425.0, 644.0], [258.0, 640.0]], ('PS4GAME', 0.9653531908988953)], [[[672.0, 605.0], [801.0, 605.0], [801.0, 643.0], [672.0, 643.0]], ('$59.99', 0.9978904724121094)], [[[261.0, 645.0], [650.0, 645.0], [650.0, 678.0], [261.0, 678.0]], ('Refund Value $39.99', 0.9162228107452393)], [[[261.0, 683.0], [630.0, 683.0], [630.0, 717.0], [261.0, 717.0]], ('RETURN BY 12/10/13', 0.9464803338050842)], [[[0.0, 711.0], [138.0, 717.0], [136.0, 759.0], [0.0, 753.0]], ('7342222', 0.9964281916618347)], [[[261.0, 720.0], [428.0, 720.0], [428.0, 753.0], [261.0, 753.0]], ('PS4 GAME', 0.9148837327957153)], [[[666.0, 715.0], [798.0, 719.0], [797.0, 760.0], [665.0, 756.0]], ('$59.99', 0.9966744780540466)], [[[262.0, 755.0], [650.0, 758.0], [650.0, 793.0], [261.0, 790.0]], ('Refund Value $39.99', 0.942833662033081)], [[[700.0, 758.0], [735.0, 758.0], [735.0, 798.0], [700.0, 798.0]], ('T', 0.9742389917373657)], [[[262.0, 793.0], [629.0, 795.0], [629.0, 830.0], [261.0, 828.0]], ('RETURN BY 12/10/13', 0.9442718029022217)], [[[0.0, 823.0], [139.0, 827.0], [138.0, 869.0], [0.0, 865.0]], ('7340899', 0.9988293647766113)], [[[260.0, 828.0], [427.0, 832.0], [426.0, 867.0], [259.0, 863.0]], ('PS4 GAME', 0.925940752029419)], [[[668.0, 832.0], [794.0, 832.0], [794.0, 868.0], [668.0, 868.0]], ('$59.99', 0.9970853924751282)], [[[260.0, 867.0], [650.0, 872.0], [650.0, 905.0], [260.0, 900.0]], ('Refund Value $40.00', 0.921142578125)], [[[701.0, 870.0], [731.0, 870.0], [731.0, 905.0], [701.0, 905.0]], ('T', 0.9684757590293884)], [[[260.0, 905.0], [629.0, 907.0], [629.0, 942.0], [260.0, 940.0]], ('RETURN BY 12/10/13', 0.9441753029823303)], [[[258.0, 978.0], [582.0, 982.0], [582.0, 1017.0], [258.0, 1013.0]], ('PACKAGE SUBTOTAL', 0.9668811559677124)], [[[647.0, 980.0], [797.0, 980.0], [797.0, 1020.0], [647.0, 1020.0]], ('$179.97', 0.9981815218925476)], [[[257.0, 1017.0], [523.0, 1020.0], [522.0, 1055.0], [256.0, 1052.0]], ('PS4 GAME FREE', 0.9293727278709412)], [[[667.0, 1020.0], [816.0, 1020.0], [816.0, 1060.0], [667.0, 1060.0]], ('$59.99-', 0.9235352277755737)], [[[252.0, 1092.0], [516.0, 1095.0], [516.0, 1130.0], [251.0, 1127.0]], ('PACKAGE TOTAL', 0.9630081653594971)], [[[649.0, 1098.0], [799.0, 1098.0], [799.0, 1133.0], [649.0, 1133.0]], ('$119.98', 0.9513950347900391)], [[[5.0, 1127.0], [844.0, 1137.0], [843.0, 1177.0], [5.0, 1167.0]], ('ITEMS MUST BE RETURNED FOR FULL REFUND', 0.9380584359169006)], [[[0.0, 1208.0], [104.0, 1208.0], [104.0, 1252.0], [0.0, 1252.0]], ('00022', 0.9960628747940063)], [[[251.0, 1212.0], [506.0, 1212.0], [506.0, 1247.0], [251.0, 1247.0]], ('STORE COUPON', 0.9689507484436035)], [[[669.0, 1210.0], [809.0, 1214.0], [808.0, 1255.0], [668.0, 1251.0]], ('$35.99', 0.996539831161499)], [[[250.0, 1252.0], [602.0, 1255.0], [602.0, 1290.0], [250.0, 1287.0]], ('PURCHASE SUBTOT/AL', 0.9545196890830994)], [[[669.0, 1251.0], [806.0, 1255.0], [805.0, 1297.0], [668.0, 1293.0]], ('$83.99', 0.99571293592453)], [[[10.0, 1292.0], [170.0, 1292.0], [170.0, 1332.0], [10.0, 1332.0]], ('FL TAX', 0.926166832447052)], [[[202.0, 1297.0], [589.0, 1297.0], [589.0, 1330.0], [202.0, 1330.0]], ('6.0000% on $83.99', 0.9490460753440857)], [[[691.0, 1291.0], [808.0, 1295.0], [806.0, 1339.0], [689.0, 1335.0]], ('$5.04', 0.99485844373703)], [[[311.0, 1338.0], [612.0, 1338.0], [612.0, 1373.0], [311.0, 1373.0]], ('PURCHASE TOTAL', 0.9677929282188416)], [[[673.0, 1331.0], [806.0, 1335.0], [805.0, 1377.0], [671.0, 1373.0]], ('$89.03', 0.9915823340415955)], [[[309.0, 1418.0], [609.0, 1418.0], [609.0, 1458.0], [309.0, 1458.0]], ('EXCHANGE TOTAL', 0.9819847345352173)], [[[673.0, 1417.0], [822.0, 1417.0], [822.0, 1458.0], [673.0, 1458.0]], ('$38.15-', 0.9760580658912659)], [[[109.0, 1498.0], [609.0, 1502.0], [609.0, 1542.0], [109.0, 1538.0]], ('*5480DEBIT CARD CREDIT', 0.9441077709197998)], [[[671.0, 1499.0], [821.0, 1493.0], [823.0, 1536.0], [673.0, 1542.0]], ('$38.15-', 0.9827016592025757)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "", "time": "", "subtotal": "$119.98- $119:98- $179.97 $83.99 $83.99", "tax": "$7.20- $5.04", "total": "$127.18- $89.03", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "PS4GAME", "item_value": "$39.99-", "item_quantity": "1"}, {"item_key": "", "item_name": "PS4GAME", "item_value": "$39.99-", "item_quantity": "1"}, {"item_key": "", "item_name": "PS4GAME", "item_value": "$40.00-", "item_quantity": "1"}, {"item_key": "", "item_name": "PS4GAME", "item_value": "$59.99", "item_quantity": "1"}, {"item_key": "", "item_name": "PS4GAME", "item_value": "$59.99", "item_quantity": "1"}, {"item_key": "", "item_name": "PS4GAME", "item_value": "$59.99", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[105.0, 69.0], [125.0, 77.0], [117.0, 94.0], [97.0, 86.0]], ('a', 0.9676662683486938)], [[[146.0, 77.0], [257.0, 77.0], [257.0, 120.0], [146.0, 120.0]], ('Saie', 0.7806894779205322)], [[[79.0, 188.0], [263.0, 188.0], [263.0, 202.0], [79.0, 202.0]], ('LA BAIE 1601 MONTREAL', 0.9274729490280151)], [[[61.0, 202.0], [283.0, 204.0], [283.0, 217.0], [61.0, 216.0]], ('585 STE-CATHERINE0 H3B3Y5', 0.9565934538841248)], [[[105.0, 216.0], [177.0, 218.0], [177.0, 233.0], [104.0, 231.0]], ('MONTREAL', 0.9963632822036743)], [[[220.0, 218.0], [242.0, 218.0], [242.0, 235.0], [220.0, 235.0]], ('QC', 0.8436477184295654)], [[[8.0, 248.0], [53.0, 248.0], [53.0, 262.0], [8.0, 262.0]], ('VENTE', 0.9976709485054016)], [[[16.0, 278.0], [124.0, 279.0], [124.0, 294.0], [16.0, 293.0]], ('1 POT A MIEL', 0.8843486309051514)], [[[194.0, 279.0], [224.0, 279.0], [224.0, 295.0], [194.0, 295.0]], ('648', 0.9943886399269104)], [[[36.0, 296.0], [142.0, 296.0], [142.0, 310.0], [36.0, 310.0]], ('887602633887', 0.9978222250938416)], [[[282.0, 295.0], [322.0, 295.0], [322.0, 313.0], [282.0, 313.0]], ('6.95', 0.9919717907905579)], [[[61.0, 324.0], [195.0, 325.0], [195.0, 340.0], [61.0, 339.0]], ('SOMME PARTIELLE', 0.9797166585922241)], [[[282.0, 325.0], [322.0, 325.0], [322.0, 343.0], [282.0, 343.0]], ('6.95', 0.9933058023452759)], [[[37.0, 342.0], [188.0, 342.0], [188.0, 356.0], [37.0, 356.0]], ('1024202965%TPS', 0.9632887244224548)], [[[300.0, 343.0], [321.0, 343.0], [321.0, 359.0], [300.0, 359.0]], ('35', 0.9991623163223267)], [[[36.0, 356.0], [196.0, 357.0], [196.0, 372.0], [36.0, 371.0]], ('10080115637.5%TVQ', 0.9726689457893372)], [[[300.0, 355.0], [323.0, 358.0], [320.0, 375.0], [298.0, 372.0]], ('55', 0.9987863898277283)], [[[151.0, 373.0], [195.0, 373.0], [195.0, 387.0], [151.0, 387.0]], ('TOTAL', 0.9979966282844543)], [[[284.0, 371.0], [322.0, 374.0], [321.0, 390.0], [283.0, 387.0]], ('7.85', 0.9775601625442505)], [[[37.0, 402.0], [107.0, 402.0], [107.0, 416.0], [37.0, 416.0]], ('COMPTANT', 0.9968369007110596)], [[[276.0, 403.0], [322.0, 403.0], [322.0, 418.0], [276.0, 418.0]], ('20.00', 0.9950225949287415)], [[[134.0, 419.0], [196.0, 419.0], [196.0, 433.0], [134.0, 433.0]], ('MONNAIE', 0.9959149956703186)], [[[275.0, 419.0], [322.0, 419.0], [322.0, 434.0], [275.0, 434.0]], ('12.15', 0.971704363822937)], [[[9.0, 446.0], [287.0, 449.0], [287.0, 466.0], [9.0, 463.0]], ('Avec Prlmes HBC, vous auriez pu', 0.8590556383132935)], [[[10.0, 464.0], [284.0, 466.0], [284.0, 480.0], [10.0, 478.0]], ("obtenir Jusqu'a 600 points pour", 0.8860695958137512)], [[[10.0, 480.0], [276.0, 481.0], [276.0, 495.0], [10.0, 493.0]], ('votre achat.- Informez-vous!', 0.9383658170700073)], [[[11.0, 576.0], [285.0, 578.0], [285.0, 592.0], [11.0, 590.0]], ('TRAN ID:3297160154902152010', 0.9578896164894104)], [[[11.0, 622.0], [198.0, 623.0], [198.0, 637.0], [11.0, 636.0]], ('TRAN TERM OPERMAG', 0.9542961120605469)], [[[223.0, 624.0], [266.0, 624.0], [266.0, 638.0], [223.0, 638.0]], ('DATE', 0.9921793937683105)], [[[289.0, 624.0], [323.0, 624.0], [323.0, 638.0], [289.0, 638.0]], ('HRE', 0.9922559857368469)], [[[10.0, 637.0], [350.0, 638.0], [350.0, 655.0], [10.0, 654.0]], ('329754913907231601 02/15/1011:10AM', 0.973116397857666)], [[[11.0, 669.0], [285.0, 670.0], [285.0, 684.0], [11.0, 683.0]], ('Stationnement gratuit au PARkDE', 0.9124767780303955)], [[[11.0, 685.0], [287.0, 686.0], [287.0, 700.0], [11.0, 699.0]], ('avec tout achat de 25 $ ou plus', 0.9308019876480103)], [[[11.0, 700.0], [331.0, 703.0], [331.0, 717.0], [11.0, 714.0]], ('les weekends,3$ de rabals en semaine', 0.9185337424278259)], [[[11.0, 717.0], [324.0, 719.0], [324.0, 732.0], [11.0, 730.0]], ('Informations aupres de nos associes', 0.9631295204162598)]]	{"store_name": "LABAIE1601MONTREAL", "store_addr": "585STE-CATHERINEOH3B3Y5 MONTREALQC", "telephone": "", "date": "02/15/10", "time": "11:10AM", "subtotal": "6.95", "tax": ".35 .55", "total": "7.85", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "POTAMIEL", "item_value": "6.95", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[75.0, 30.0], [251.0, 28.0], [252.0, 45.0], [75.0, 47.0]], ('Delancey Street', 0.9670855402946472)], [[[74.0, 46.0], [254.0, 43.0], [255.0, 59.0], [74.0, 62.0]], ('600 Embarcadero', 0.9749903082847595)], [[[90.0, 60.0], [231.0, 57.0], [232.0, 73.0], [90.0, 76.0]], ('San FranciscoCA 94107', 0.9649469256401062)], [[[116.0, 103.0], [206.0, 103.0], [206.0, 118.0], [116.0, 118.0]], ('WED MAY 17,2017', 0.9052426218986511)], [[[72.0, 116.0], [253.0, 113.0], [254.0, 131.0], [72.0, 133.0]], ('CHECK #590289-1', 0.9648640751838684)], [[[133.0, 132.0], [190.0, 129.0], [190.0, 144.0], [134.0, 147.0]], ('TABLE #49', 0.9330784678459167)], [[[66.0, 160.0], [141.0, 160.0], [141.0, 174.0], [66.0, 174.0]], ('1Lamb Shank', 0.9624776840209961)], [[[224.0, 156.0], [264.0, 156.0], [264.0, 171.0], [224.0, 171.0]], ('$17.95', 0.9908273220062256)], [[[65.0, 173.0], [130.0, 175.0], [129.0, 190.0], [64.0, 188.0]], ('1Espresso', 0.9892908930778503)], [[[229.0, 170.0], [265.0, 170.0], [265.0, 185.0], [229.0, 185.0]], ('$1.35', 0.9273799061775208)], [[[64.0, 189.0], [141.0, 189.0], [141.0, 203.0], [64.0, 203.0]], ('1Cafe Mocha', 0.9460120797157288)], [[[231.0, 185.0], [266.0, 185.0], [266.0, 200.0], [231.0, 200.0]], ('$2.50', 0.9105398058891296)], [[[63.0, 203.0], [197.0, 201.0], [197.0, 217.0], [64.0, 219.0]], ('1 Chocolate Decadence', 0.9667685627937317)], [[[232.0, 200.0], [266.0, 200.0], [266.0, 215.0], [232.0, 215.0]], ('$4.95', 0.994144082069397)], [[[64.0, 217.0], [196.0, 216.0], [196.0, 233.0], [64.0, 234.0]], ('1 Soup of the Day cup', 0.9412985444068909)], [[[232.0, 215.0], [266.0, 215.0], [266.0, 230.0], [232.0, 230.0]], ('$3.95', 0.947487473487854)], [[[65.0, 233.0], [190.0, 231.0], [190.0, 247.0], [65.0, 249.0]], ('1 Roasted Tomato cup', 0.9523264169692993)], [[[233.0, 228.0], [266.0, 230.0], [265.0, 246.0], [232.0, 244.0]], ('$4.95', 0.9920108914375305)], [[[64.0, 249.0], [172.0, 249.0], [172.0, 263.0], [64.0, 263.0]], ('1 Caesar Salad 1g', 0.8924642205238342)], [[[233.0, 243.0], [268.0, 245.0], [267.0, 261.0], [232.0, 259.0]], ('$9.95', 0.9958998560905457)], [[[76.0, 264.0], [133.0, 264.0], [133.0, 278.0], [76.0, 278.0]], ('SUB-TOTAL', 0.9928429126739502)], [[[227.0, 261.0], [268.0, 259.0], [269.0, 277.0], [228.0, 279.0]], ('$45.60', 0.9956318736076355)], [[[74.0, 279.0], [100.0, 279.0], [100.0, 295.0], [74.0, 295.0]], ('TAX', 0.9936769604682922)], [[[235.0, 278.0], [270.0, 278.0], [270.0, 293.0], [235.0, 293.0]], ('$3.88', 0.9965530633926392)], [[[56.0, 295.0], [119.0, 295.0], [119.0, 312.0], [56.0, 312.0]], ('TOTAL', 0.9986981153488159)], [[[182.0, 293.0], [264.0, 292.0], [264.0, 310.0], [183.0, 311.0]], ('$49.48', 0.9955411553382874)], [[[73.0, 327.0], [147.0, 327.0], [147.0, 345.0], [73.0, 345.0]], ('Time:19:22', 0.8842650651931763)], [[[177.0, 328.0], [252.0, 328.0], [252.0, 343.0], [177.0, 343.0]], ('2 CUSTOMERS', 0.9481064081192017)], [[[130.0, 361.0], [199.0, 360.0], [199.0, 378.0], [131.0, 379.0]], ('Thank you!', 0.9270286560058594)], [[[96.0, 396.0], [234.0, 395.0], [234.0, 412.0], [96.0, 413.0]], ('YOU HAVE BEEN SERVED', 0.9542438387870789)], [[[102.0, 415.0], [221.0, 415.0], [221.0, 432.0], [102.0, 432.0]], ('BYJames Harvey', 0.9596571922302246)]]	{"store_name": "", "store_addr": "SanFrancisco,CA94107 600Embarcadero DelanceyStreet", "telephone": "", "date": "WEDMAY17,2017", "time": "19:22", "subtotal": "$45.60", "tax": "$3.88", "total": "$49.48", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "CaesarSalad", "item_value": "$9.95", "item_quantity": "1"}, {"item_key": "", "item_name": "RoastedTomatocup", "item_value": "$4.95", "item_quantity": "1"}, {"item_key": "", "item_name": "SoupoftheDaycup", "item_value": "$3.95", "item_quantity": "1"}, {"item_key": "", "item_name": "ChocolateDecadence", "item_value": "$4.95", "item_quantity": "1"}, {"item_key": "", "item_name": "CafeMocha", "item_value": "$2.50", "item_quantity": "1"}, {"item_key": "", "item_name": "Espresso", "item_value": "$1.35", "item_quantity": "1"}, {"item_key": "", "item_name": "LambShank", "item_value": "$17.95", "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	[[[[75.0, 29.0], [262.0, 31.0], [261.0, 69.0], [74.0, 66.0]], ('COSTCO', 0.9445273876190186)], [[[127.0, 67.0], [253.0, 66.0], [253.0, 79.0], [127.0, 80.0]], ('WHOEEALE', 0.5009732246398926)], [[[75.0, 123.0], [279.0, 123.0], [279.0, 136.0], [75.0, 136.0]], ('QUEENS#243', 0.889564573764801)], [[[73.0, 147.0], [231.0, 147.0], [231.0, 163.0], [73.0, 163.0]], ('Costco Wholesale#243', 0.9399116635322571)], [[[86.0, 160.0], [219.0, 160.0], [219.0, 176.0], [86.0, 176.0]], ('32-50 Vernon B1vd', 0.8836904168128967)], [[[73.0, 173.0], [230.0, 173.0], [230.0, 187.0], [73.0, 187.0]], ('Long IslandNY 11106', 0.8700762391090393)], [[[95.0, 186.0], [258.0, 187.0], [257.0, 201.0], [95.0, 200.0]], ('MEMBER#XXXXXXXXXXXX', 0.9262092113494873)], [[[22.0, 212.0], [229.0, 212.0], [229.0, 225.0], [22.0, 225.0]], ('CASH CARD #608XXXXXXXXXXXX', 0.8787931203842163)], [[[114.0, 225.0], [202.0, 225.0], [202.0, 239.0], [114.0, 239.0]], ('COSTCO CASH', 0.9521188139915466)], [[[242.0, 225.0], [283.0, 225.0], [283.0, 240.0], [242.0, 240.0]], ('25.00', 0.9976967573165894)], [[[21.0, 239.0], [230.0, 239.0], [230.0, 253.0], [21.0, 253.0]], ('CASH CARD#608XXXXXXXXXXXX', 0.8751447200775146)], [[[115.0, 252.0], [201.0, 252.0], [201.0, 265.0], [115.0, 265.0]], ('COSTCO CASH', 0.9557674527168274)], [[[242.0, 251.0], [283.0, 251.0], [283.0, 265.0], [242.0, 265.0]], ('25.00', 0.9977127313613892)], [[[74.0, 276.0], [109.0, 276.0], [109.0, 291.0], [74.0, 291.0]], ('TOTAL', 0.9980414509773254)], [[[242.0, 277.0], [289.0, 277.0], [289.0, 292.0], [242.0, 292.0]], ('50.00', 0.9615517854690552)], [[[19.0, 288.0], [231.0, 289.0], [231.0, 305.0], [19.0, 304.0]], ('CSHECRS', 0.5931141972541809)], [[[19.0, 313.0], [40.0, 313.0], [40.0, 330.0], [19.0, 330.0]], ('VF', 0.9918016791343689)], [[[73.0, 314.0], [140.0, 314.0], [140.0, 328.0], [73.0, 328.0]], ('EFT/DEBIT', 0.949387788772583)], [[[241.0, 312.0], [284.0, 314.0], [283.0, 332.0], [240.0, 329.0]], ('70.00', 0.9960027933120728)], [[[21.0, 340.0], [142.0, 340.0], [142.0, 353.0], [21.0, 353.0]], ('XXXXXXXXXXXX4497', 0.7967451810836792)], [[[229.0, 340.0], [276.0, 340.0], [276.0, 354.0], [229.0, 354.0]], ('SWIPED', 0.9982512593269348)], [[[20.0, 352.0], [127.0, 351.0], [127.0, 365.0], [21.0, 366.0]], ('06/04/1420:29', 0.9714488387107849)], [[[227.0, 351.0], [289.0, 353.0], [289.0, 367.0], [227.0, 365.0]], ('PIN USED', 0.9527966976165771)], [[[20.0, 363.0], [158.0, 363.0], [158.0, 380.0], [20.0, 380.0]], ('Se#000550APP', 0.8836609721183777)], [[[175.0, 365.0], [224.0, 365.0], [224.0, 379.0], [175.0, 379.0]], ('247333', 0.9968724846839905)], [[[21.0, 378.0], [90.0, 378.0], [90.0, 391.0], [21.0, 391.0]], ('EFT/DEBIT', 0.9943888187408447)], [[[168.0, 377.0], [230.0, 379.0], [230.0, 393.0], [167.0, 390.0]], ('RespAA', 0.942460834980011)], [[[20.0, 389.0], [188.0, 388.0], [188.0, 404.0], [21.0, 405.0]], ('TranID#_415544718000', 0.9714630842208862)], [[[21.0, 403.0], [171.0, 403.0], [171.0, 416.0], [21.0, 416.0]], ('Merchant ID 99024311', 0.9512490034103394)], [[[80.0, 427.0], [222.0, 428.0], [222.0, 441.0], [80.0, 440.0]], ('APPROVED -PURCHASE', 0.9449389576911926)], [[[96.0, 440.0], [200.0, 440.0], [200.0, 454.0], [96.0, 454.0]], ('AMOUNT$70.00', 0.9878203868865967)], [[[74.0, 453.0], [194.0, 453.0], [194.0, 467.0], [74.0, 467.0]], ('CASHBACK$20.00', 0.9915781617164612)], [[[82.0, 478.0], [260.0, 478.0], [260.0, 491.0], [82.0, 491.0]], ('024301000000000850355', 0.9944879412651062)], [[[74.0, 515.0], [120.0, 515.0], [120.0, 529.0], [74.0, 529.0]], ('CHANGE', 0.998530924320221)], [[[243.0, 516.0], [284.0, 516.0], [284.0, 530.0], [243.0, 530.0]], ('20.00', 0.9974961280822754)], [[[22.0, 553.0], [165.0, 553.0], [165.0, 567.0], [22.0, 567.0]], ('CASH CARN ACTTVATED', 0.9192399382591248)], [[[21.0, 566.0], [149.0, 565.0], [149.0, 578.0], [22.0, 579.0]], ('6088XXXXXXXXXXXX', 0.8362776041030884)], [[[168.0, 567.0], [208.0, 564.0], [209.0, 579.0], [169.0, 582.0]], ('25.00', 0.996870219707489)], [[[253.0, 562.0], [302.0, 562.0], [302.0, 598.0], [253.0, 598.0]], ('35.88', 0.7682291865348816)], [[[21.0, 579.0], [149.0, 579.0], [149.0, 593.0], [21.0, 593.0]], ('6088XXXXXXXXXXXX', 0.808290958404541)], [[[170.0, 578.0], [208.0, 578.0], [208.0, 593.0], [170.0, 593.0]], ('25.00', 0.9970229268074036)], [[[22.0, 604.0], [254.0, 604.0], [254.0, 618.0], [22.0, 618.0]], ('TOTAL NUMBER OF ITEMS SOLD =O', 0.9102116823196411)], [[[22.0, 617.0], [167.0, 617.0], [167.0, 629.0], [22.0, 629.0]], ('CASHIER: MARIANNA O', 0.8915066123008728)], [[[234.0, 617.0], [290.0, 617.0], [290.0, 630.0], [234.0, 630.0]], ('REG#10', 0.9636902213096619)], [[[22.0, 629.0], [261.0, 629.0], [261.0, 642.0], [22.0, 642.0]], ('6/04/2020:29024310035585', 0.9245942234992981)], [[[74.0, 655.0], [156.0, 655.0], [156.0, 668.0], [74.0, 668.0]], ('ThankYou!', 0.9478572010993958)], [[[72.0, 667.0], [151.0, 669.0], [151.0, 682.0], [71.0, 681.0]], ('Cone Again', 0.9410766363143921)]]	{"store_name": "CostcoWholesale#243", "store_addr": "LongIsland,NY11106 32-50VernonBlvd", "telephone": "", "date": "6/04/2014 06/04/14", "time": "20:29 20:29", "subtotal": "", "tax": "", "total": "50.00", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "6088XXXXXXXXXXXX", "item_value": "25.00", "item_quantity": "1"}, {"item_key": "", "item_name": "6088XXXXXXXXXXXX", "item_value": "25.00", "item_quantity": "1"}, {"item_key": "", "item_name": "CASHCARD#", "item_value": "25.00", "item_quantity": "1"}, {"item_key": "", "item_name": "CASHCARD#", "item_value": "25.00", "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	[[[[139.0, 115.0], [238.0, 115.0], [238.0, 132.0], [139.0, 132.0]], ('County Market', 0.9520507454872131)], [[[128.0, 131.0], [247.0, 131.0], [247.0, 152.0], [128.0, 152.0]], ('MENOMINEE', 0.9906313419342041)], [[[134.0, 161.0], [194.0, 163.0], [194.0, 178.0], [133.0, 176.0]], ('Store:211', 0.9519761204719543)], [[[38.0, 188.0], [164.0, 188.0], [164.0, 202.0], [38.0, 202.0]], ('Cashier115 BARB K', 0.9151822924613953)], [[[37.0, 213.0], [92.0, 213.0], [92.0, 227.0], [37.0, 227.0]], ('02/08/11', 0.9904303550720215)], [[[257.0, 213.0], [311.0, 215.0], [311.0, 230.0], [256.0, 228.0]], ('14:41:47', 0.9280791282653809)], [[[38.0, 239.0], [128.0, 239.0], [128.0, 253.0], [38.0, 253.0]], ('GROCERY', 0.9969149827957153)], [[[74.0, 252.0], [136.0, 252.0], [136.0, 266.0], [74.0, 266.0]], ('506.79', 0.9873489737510681)], [[[42.0, 264.0], [173.0, 264.0], [173.0, 277.0], [42.0, 277.0]], ('DIETMT DEW24PACK', 0.8949167728424072)], [[[257.0, 267.0], [310.0, 267.0], [310.0, 278.0], [257.0, 278.0]], ('33.95F', 0.974078357219696)], [[[50.0, 278.0], [173.0, 278.0], [173.0, 291.0], [50.0, 291.0]], ('IN-STORE SAVINGS OF', 0.9440169930458069)], [[[223.0, 278.0], [253.0, 278.0], [253.0, 293.0], [223.0, 293.0]], ('8.00', 0.9928575158119202)], [[[72.0, 291.0], [156.0, 291.0], [156.0, 304.0], [72.0, 304.0]], ('51/2.40', 0.9521278738975525)], [[[42.0, 302.0], [129.0, 303.0], [129.0, 317.0], [42.0, 316.0]], ('2.40DEPOSI', 0.9371949434280396)], [[[257.0, 304.0], [292.0, 304.0], [292.0, 319.0], [257.0, 319.0]], ('12.00', 0.9693110585212708)], [[[36.0, 315.0], [90.0, 317.0], [89.0, 331.0], [36.0, 329.0]], ('MEAT', 0.9967039823532104)], [[[42.0, 328.0], [173.0, 329.0], [173.0, 343.0], [42.0, 342.0]], ('COLD WATER LOBSIER T', 0.9133358001708984)], [[[262.0, 330.0], [292.0, 330.0], [292.0, 344.0], [262.0, 344.0]], ('8.99', 0.9928343892097473)], [[[300.0, 332.0], [309.0, 332.0], [309.0, 343.0], [300.0, 343.0]], ('F', 0.9926801919937134)], [[[43.0, 342.0], [175.0, 342.0], [175.0, 355.0], [43.0, 355.0]], ('COLD WATER LOBSIER I', 0.9052128791809082)], [[[261.0, 343.0], [292.0, 343.0], [292.0, 357.0], [261.0, 357.0]], ('8.90', 0.8476532101631165)], [[[259.0, 354.0], [292.0, 356.0], [290.0, 371.0], [258.0, 369.0]], ("66'8", 0.8452049493789673)], [[[300.0, 345.0], [309.0, 345.0], [309.0, 356.0], [300.0, 356.0]], ('F', 0.9881794452667236)], [[[43.0, 355.0], [174.0, 355.0], [174.0, 368.0], [43.0, 368.0]], ('COLD WATER LOBSIER I', 0.8835765719413757)], [[[300.0, 358.0], [308.0, 358.0], [308.0, 368.0], [300.0, 368.0]], ('F', 0.9811196327209473)], [[[42.0, 368.0], [165.0, 368.0], [165.0, 381.0], [42.0, 381.0]], ('COLD WATER LOBSIER', 0.9316473007202148)], [[[256.0, 368.0], [291.0, 368.0], [291.0, 382.0], [256.0, 382.0]], ('17.98', 0.9870913624763489)], [[[300.0, 370.0], [308.0, 370.0], [308.0, 381.0], [300.0, 381.0]], ('F', 0.9735421538352966)], [[[43.0, 381.0], [173.0, 381.0], [173.0, 394.0], [43.0, 394.0]], ('COLO WATER LOBSTER T', 0.903681755065918)], [[[256.0, 381.0], [291.0, 381.0], [291.0, 395.0], [256.0, 395.0]], ('17.98', 0.9895721673965454)], [[[41.0, 392.0], [173.0, 393.0], [173.0, 407.0], [41.0, 406.0]], ('COI.O WATER LOBSTER T', 0.878494143486023)], [[[300.0, 383.0], [308.0, 383.0], [308.0, 393.0], [300.0, 393.0]], ('F', 0.981090247631073)], [[[260.0, 394.0], [291.0, 394.0], [291.0, 408.0], [260.0, 408.0]], ('8.99', 0.8637546300888062)], [[[42.0, 405.0], [155.0, 406.0], [155.0, 420.0], [42.0, 419.0]], ('PORTERHOUSE STEAK', 0.9672665596008301)], [[[300.0, 396.0], [309.0, 396.0], [309.0, 407.0], [300.0, 407.0]], ('F', 0.9755980968475342)], [[[256.0, 407.0], [291.0, 407.0], [291.0, 421.0], [256.0, 421.0]], ('11.64', 0.9915704727172852)], [[[299.0, 408.0], [308.0, 408.0], [308.0, 420.0], [299.0, 420.0]], ('F', 0.9903135299682617)], [[[43.0, 420.0], [156.0, 420.0], [156.0, 433.0], [43.0, 433.0]], ('PORTERHOUSE STEAK', 0.9525056481361389)], [[[256.0, 420.0], [291.0, 420.0], [291.0, 434.0], [256.0, 434.0]], ('12.27', 0.9936816096305847)], [[[119.0, 432.0], [172.0, 432.0], [172.0, 446.0], [119.0, 446.0]], ('SUBTOTAL', 0.9935351014137268)], [[[297.0, 423.0], [307.0, 420.0], [310.0, 430.0], [300.0, 433.0]], ('F', 0.9689599275588989)], [[[249.0, 433.0], [290.0, 433.0], [290.0, 447.0], [249.0, 447.0]], ('141.78', 0.9476223587989807)], [[[119.0, 445.0], [179.0, 445.0], [179.0, 459.0], [119.0, 459.0]], ('TOTAL TAX', 0.9360901713371277)], [[[270.0, 446.0], [291.0, 446.0], [291.0, 460.0], [270.0, 460.0]], ('.00', 0.9930607676506042)], [[[120.0, 471.0], [150.0, 471.0], [150.0, 482.0], [120.0, 482.0]], ('FOFA', 0.526054859161377)], [[[249.0, 471.0], [289.0, 471.0], [289.0, 485.0], [249.0, 485.0]], ('141.78', 0.9905467629432678)], [[[35.0, 481.0], [207.0, 480.0], [207.0, 497.0], [35.0, 498.0]], ('DEBI FOOU SIAMPS TENDER', 0.8468043208122253)], [[[248.0, 484.0], [290.0, 484.0], [290.0, 498.0], [248.0, 498.0]], ('141.78', 0.9950399398803711)], [[[43.0, 497.0], [180.0, 497.0], [180.0, 510.0], [43.0, 510.0]], ('Acctxx85', 0.6270877718925476)], [[[42.0, 509.0], [168.0, 509.0], [168.0, 522.0], [42.0, 522.0]], ('APPRVL.CODE045545', 0.8833647966384888)], [[[47.0, 521.0], [81.0, 521.0], [81.0, 536.0], [47.0, 536.0]], ('CASH', 0.9961584806442261)], [[[156.0, 522.0], [199.0, 522.0], [199.0, 536.0], [156.0, 536.0]], ('CHANGE', 0.9973921179771423)], [[[267.0, 521.0], [291.0, 521.0], [291.0, 537.0], [267.0, 537.0]], ('.00', 0.9873774647712708)], [[[118.0, 548.0], [218.0, 548.0], [218.0, 561.0], [118.0, 561.0]], ('NUMBER OF ITEMS', 0.9242788553237915)], [[[273.0, 549.0], [290.0, 549.0], [290.0, 562.0], [273.0, 562.0]], ('18', 0.9966002702713013)], [[[41.0, 573.0], [147.0, 574.0], [147.0, 589.0], [41.0, 588.0]], ('In-Store Savings', 0.9418555498123169)], [[[258.0, 574.0], [290.0, 574.0], [290.0, 589.0], [258.0, 589.0]], ('8.00', 0.952847957611084)], [[[42.0, 600.0], [171.0, 600.0], [171.0, 614.0], [42.0, 614.0]], ('YOU SAVEO A TOTAL OF', 0.9068319201469421)], [[[257.0, 598.0], [291.0, 600.0], [289.0, 616.0], [256.0, 614.0]], ('8.00', 0.9621948599815369)], [[[42.0, 613.0], [171.0, 613.0], [171.0, 626.0], [42.0, 626.0]], ('IHAT IS A SAVINGS OF', 0.8854519128799438)], [[[35.0, 651.0], [83.0, 651.0], [83.0, 665.0], [35.0, 665.0]], ('Trx:327', 0.8368582129478455)], [[[104.0, 651.0], [148.0, 651.0], [148.0, 665.0], [104.0, 665.0]], ('Term6', 0.9707121849060059)], [[[170.0, 653.0], [230.0, 653.0], [230.0, 664.0], [170.0, 664.0]], ('Stcre:211', 0.9512791037559509)], [[[255.0, 653.0], [308.0, 653.0], [308.0, 664.0], [255.0, 664.0]], ('14:42:44', 0.954998791217804)], [[[83.0, 689.0], [250.0, 690.0], [250.0, 704.0], [82.0, 703.0]], ('Life is full ot choices.', 0.922222912311554)], [[[80.0, 703.0], [267.0, 703.0], [267.0, 717.0], [80.0, 717.0]], ('Thanks for choosing Angel is!!', 0.9223288893699646)], [[[86.0, 715.0], [268.0, 716.0], [267.0, 730.0], [85.0, 729.0]], ('1401 8th Ave -Menominee.MI', 0.9135552048683167)], [[[143.0, 729.0], [224.0, 729.0], [224.0, 742.0], [143.0, 742.0]], ('906-863-5575', 0.9849770665168762)]]	{"store_name": "Angeli's CountyMarket", "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": "xDIETMTDEW24PACK", "item_value": "33.95", "item_quantity": "1"}, {"item_key": "", "item_name": "COLDWATERLOBSIER", "item_value": "8.99", "item_quantity": "1"}, {"item_key": "", "item_name": "COLDWATERLOBSIER", "item_value": "8.99", "item_quantity": "1"}, {"item_key": "", "item_name": "COLDWATERLOBSIER", "item_value": "8.99", "item_quantity": "1"}, {"item_key": "", "item_name": "COLDWATERLOBSIER", "item_value": "17.98", "item_quantity": "1"}, {"item_key": "", "item_name": "COLDWATERLOBSIER", "item_value": "17.98", "item_quantity": "1"}, {"item_key": "", "item_name": "COLDWATERLOBSIER", "item_value": "8.99", "item_quantity": "1"}, {"item_key": "", "item_name": "PORTERHOUSESTEAK", "item_value": "11.64", "item_quantity": "1"}, {"item_key": "", "item_name": "PORTERHOUSESTEAK", "item_value": "12.27", "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	[[[[211.0, 15.0], [244.0, 15.0], [244.0, 26.0], [211.0, 26.0]], ('Q1', 0.6923754811286926)], [[[212.0, 6.0], [243.0, 6.0], [243.0, 17.0], [212.0, 17.0]], ('496', 0.9847025275230408)], [[[68.0, 26.0], [159.0, 26.0], [159.0, 39.0], [68.0, 39.0]], ('Trans204496', 0.937286913394928)], [[[141.0, 19.0], [193.0, 19.0], [193.0, 30.0], [141.0, 30.0]], ('Table', 0.9659473299980164)], [[[208.0, 25.0], [267.0, 25.0], [267.0, 36.0], [208.0, 36.0]], ('Serrr rren', 0.506755530834198)], [[[66.0, 37.0], [154.0, 36.0], [154.0, 46.0], [66.0, 48.0]], ('6/1/20138:25PM', 0.9376859664916992)], [[[221.0, 34.0], [268.0, 34.0], [268.0, 44.0], [221.0, 44.0]], ('Cust:1', 0.8468196392059326)], [[[73.0, 57.0], [151.0, 53.0], [151.0, 67.0], [74.0, 70.0]], ('Quan Descript', 0.93426513671875)], [[[246.0, 52.0], [271.0, 52.0], [271.0, 64.0], [246.0, 64.0]], ('Cost', 0.9958454370498657)], [[[73.0, 78.0], [179.0, 76.0], [179.0, 90.0], [73.0, 92.0]], ('1 Strauberry Banana', 0.9029964804649353)], [[[246.0, 74.0], [279.0, 70.0], [280.0, 84.0], [247.0, 88.0]], ('$4.10', 0.9819319844245911)], [[[72.0, 89.0], [212.0, 87.0], [213.0, 101.0], [72.0, 103.0]], ('1 FreshStrawberryLesoniea', 0.9176529049873352)], [[[247.0, 84.0], [281.0, 84.0], [281.0, 99.0], [247.0, 99.0]], ('$3.75', 0.9929904937744141)], [[[70.0, 102.0], [174.0, 99.0], [174.0, 112.0], [70.0, 115.0]], ('1 Haterme lon Juice', 0.8874306082725525)], [[[247.0, 97.0], [282.0, 95.0], [283.0, 109.0], [248.0, 112.0]], ('$3.99', 0.9958793520927429)], [[[169.0, 122.0], [232.0, 119.0], [233.0, 133.0], [169.0, 136.0]], ('Net Total', 0.9211360216140747)], [[[245.0, 120.0], [285.0, 120.0], [285.0, 133.0], [245.0, 133.0]], ('$11.84', 0.9921695590019226)], [[[182.0, 134.0], [218.0, 134.0], [218.0, 145.0], [182.0, 145.0]], ('8.62%', 0.9638999104499817)], [[[250.0, 132.0], [286.0, 129.0], [287.0, 144.0], [251.0, 147.0]], ('$1.02', 0.9942781329154968)], [[[116.0, 157.0], [177.0, 157.0], [177.0, 171.0], [116.0, 171.0]], ('TOTAL', 0.9986756443977356)], [[[206.0, 156.0], [289.0, 155.0], [289.0, 169.0], [206.0, 170.0]], ('$12.86', 0.9887139201164246)], [[[44.0, 171.0], [147.0, 171.0], [147.0, 184.0], [44.0, 184.0]], ('Beverage:$11.84', 0.9757365584373474)], [[[168.0, 196.0], [198.0, 196.0], [198.0, 211.0], [168.0, 211.0]], ('CASH', 0.9979612827301025)], [[[253.0, 196.0], [296.0, 196.0], [296.0, 210.0], [253.0, 210.0]], ('$13.00', 0.9974309802055359)], [[[154.0, 208.0], [198.0, 212.0], [197.0, 227.0], [153.0, 223.0]], ('Change', 0.9973852038383484)], [[[260.0, 207.0], [300.0, 210.0], [299.0, 228.0], [259.0, 225.0]], ('$0.14', 0.993334949016571)], [[[104.0, 270.0], [220.0, 272.0], [219.0, 290.0], [104.0, 288.0]], ('TEST123', 0.9937963485717773)], [[[70.0, 306.0], [249.0, 309.0], [249.0, 326.0], [70.0, 324.0]], ('Telephone:408765-4321', 0.972991943359375)], [[[73.0, 327.0], [294.0, 328.0], [294.0, 345.0], [73.0, 344.0]], ('Points earned this check 3', 0.9615522027015686)]]	{"store_name": "", "store_addr": "", "telephone": "(408)765-4321", "date": "8/1/2013", "time": "8:25PM", "subtotal": "$11.84 $11.84", "tax": "$1.02", "total": "$12.86", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "StrawberryBanana", "item_value": "$4.10", "item_quantity": "1"}, {"item_key": "", "item_name": "WatermelonJuice", "item_value": "$3.75", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "$3.99", "item_quantity": "1"}, {"item_key": "Descript", "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	[[[[449.0, 548.0], [1188.0, 542.0], [1189.0, 643.0], [450.0, 649.0]], ('WAL*MART', 0.9855161905288696)], [[[469.0, 657.0], [1160.0, 654.0], [1160.0, 692.0], [469.0, 695.0]], ('ALWAYS LOW PRICES ALWAYS WAL-MART', 0.9417721033096313)], [[[639.0, 725.0], [963.0, 706.0], [973.0, 872.0], [649.0, 891.0]], ('Alwoys', 0.6873840689659119)], [[[622.0, 946.0], [959.0, 940.0], [960.0, 983.0], [623.0, 989.0]], ('WE SELL FOR LESS', 0.9209698438644409)], [[[600.0, 986.0], [993.0, 986.0], [993.0, 1022.0], [600.0, 1022.0]], ('MANAGGR TSM STRYCZEK', 0.92298823595047)], [[[611.0, 1025.0], [973.0, 1019.0], [974.0, 1057.0], [611.0, 1063.0]], ('630213-7000', 0.9728078246116638)], [[[421.0, 1101.0], [1166.0, 1093.0], [1166.0, 1136.0], [422.0, 1145.0]], ('ST# 74200P#00000533TE10 TR#09139', 0.9106771945953369)], [[[424.0, 1142.0], [589.0, 1142.0], [589.0, 1180.0], [424.0, 1180.0]], ('GATORADE', 0.9928191900253296)], [[[678.0, 1139.0], [957.0, 1139.0], [957.0, 1174.0], [678.0, 1174.0]], ('005200033831F', 0.9912155866622925)], [[[1037.0, 1134.0], [1167.0, 1128.0], [1169.0, 1168.0], [1039.0, 1175.0]], ('2.07E', 0.9685549736022949)], [[[675.0, 1177.0], [951.0, 1177.0], [951.0, 1213.0], [675.0, 1213.0]], ('004000006002 F', 0.9552492499351501)], [[[1046.0, 1174.0], [1172.0, 1174.0], [1172.0, 1213.0], [1046.0, 1213.0]], ('4.36K', 0.9583486318588257)], [[[424.0, 1185.0], [527.0, 1185.0], [527.0, 1215.0], [424.0, 1215.0]], ('CANOY', 0.9453901052474976)], [[[630.0, 1218.0], [915.0, 1218.0], [915.0, 1254.0], [630.0, 1254.0]], ('X031254742855', 0.9568865299224854)], [[[1043.0, 1213.0], [1174.0, 1213.0], [1174.0, 1254.0], [1043.0, 1254.0]], ('4.48K', 0.9419881105422974)], [[[424.0, 1224.0], [605.0, 1224.0], [605.0, 1254.0], [424.0, 1254.0]], ('LISTERINE', 0.99592125415802)], [[[675.0, 1256.0], [918.0, 1256.0], [918.0, 1292.0], [675.0, 1292.0]], ('001150900446', 0.9958469867706299)], [[[1043.0, 1251.0], [1172.0, 1251.0], [1172.0, 1292.0], [1043.0, 1292.0]], ('4.76E', 0.9405077695846558)], [[[424.0, 1262.0], [625.0, 1262.0], [625.0, 1292.0], [424.0, 1292.0]], ('ODOR EATER', 0.938637375831604)], [[[421.0, 1297.0], [586.0, 1297.0], [586.0, 1335.0], [421.0, 1335.0]], ('GEL SOLE', 0.9715651273727417)], [[[675.0, 1294.0], [915.0, 1294.0], [915.0, 1330.0], [675.0, 1330.0]], ('001101731405', 0.9964086413383484)], [[[1043.0, 1289.0], [1172.0, 1289.0], [1172.0, 1330.0], [1043.0, 1330.0]], ('368', 0.9389393925666809)], [[[775.0, 1335.0], [926.0, 1335.0], [926.0, 1365.0], [775.0, 1365.0]], ('SUBTOTAL', 0.994687557220459)], [[[1029.0, 1327.0], [1133.0, 1327.0], [1133.0, 1368.0], [1029.0, 1368.0]], ('24.64', 0.8960692286491394)], [[[750.0, 1371.0], [903.0, 1365.0], [904.0, 1406.0], [752.0, 1412.0]], ('6.250%', 0.9746133685112)], [[[1032.0, 1362.0], [1135.0, 1362.0], [1135.0, 1412.0], [1032.0, 1412.0]], ('660', 0.9542555809020996)], [[[600.0, 1373.0], [697.0, 1373.0], [697.0, 1403.0], [600.0, 1403.0]], ('TAX1', 0.7798886895179749)], [[[597.0, 1406.0], [706.0, 1406.0], [706.0, 1444.0], [597.0, 1444.0]], ('TAx3', 0.8633213639259338)], [[[756.0, 1409.0], [901.0, 1409.0], [901.0, 1439.0], [756.0, 1439.0]], ('2.000%', 0.9857802391052246)], [[[1040.0, 1401.0], [1133.0, 1401.0], [1133.0, 1442.0], [1040.0, 1442.0]], ('0.49', 0.9515905380249023)], [[[830.0, 1438.0], [933.0, 1445.0], [930.0, 1483.0], [828.0, 1476.0]], ('TOTAL', 0.9390366673469543)], [[[1024.0, 1439.0], [1130.0, 1439.0], [1130.0, 1480.0], [1024.0, 1480.0]], ('26.72', 0.9545709490776062)], [[[731.0, 1480.0], [828.0, 1480.0], [828.0, 1518.0], [731.0, 1518.0]], ('VESA', 0.8816463947296143)], [[[817.0, 1482.0], [932.0, 1482.0], [932.0, 1512.0], [817.0, 1512.0]], ('TEND', 0.9805049300193787)], [[[1023.0, 1478.0], [1128.0, 1471.0], [1131.0, 1514.0], [1026.0, 1521.0]], ('26.12', 0.9876415133476257)], [[[424.0, 1600.0], [722.0, 1600.0], [722.0, 1635.0], [424.0, 1635.0]], ('APPROVAL 04562', 0.9470351338386536)], [[[427.0, 1638.0], [739.0, 1638.0], [739.0, 1673.0], [427.0, 1673.0]], ('TRANS ID-001304', 0.9209570288658142)], [[[831.0, 1630.0], [934.0, 1630.0], [934.0, 1670.0], [831.0, 1670.0]], ('99352', 0.970184326171875)], [[[418.0, 1673.0], [742.0, 1670.0], [742.0, 1708.0], [419.0, 1711.0]], ('VALIDATION-DPTT', 0.9820656180381775)], [[[419.0, 1708.0], [728.0, 1711.0], [728.0, 1750.0], [418.0, 1747.0]], ('PAYMENT SERVICE', 0.98603755235672)], [[[728.0, 1714.0], [801.0, 1714.0], [801.0, 1747.0], [728.0, 1747.0]], ('E', 0.961056649684906)], [[[730.0, 1747.0], [934.0, 1741.0], [935.0, 1787.0], [732.0, 1793.0]], ('CHANGE DUE', 0.9634172320365906)], [[[1040.0, 1747.0], [1133.0, 1747.0], [1133.0, 1785.0], [1040.0, 1785.0]], ('0.00', 0.9946365356445312)], [[[499.0, 1828.0], [1046.0, 1828.0], [1046.0, 1886.0], [499.0, 1886.0]], ('#ITEMS SOLD5', 0.9732469916343689)], [[[496.0, 1962.0], [1057.0, 1954.0], [1058.0, 2000.0], [497.0, 2009.0]], ('TC#52889647 957968879704', 0.9122318625450134)], [[[438.0, 2101.0], [1141.0, 2098.0], [1141.0, 2145.0], [438.0, 2147.0]], ('NEED A MONEY ORDER? WAL-MART HAS IT!', 0.878488302230835)], [[[574.0, 2148.0], [747.0, 2141.0], [748.0, 2177.0], [575.0, 2183.0]], ('02/14/03', 0.9941376447677612)], [[[826.0, 2147.0], [985.0, 2147.0], [985.0, 2177.0], [826.0, 2177.0]], ('09:46:31', 0.9248650074005127)], [[[597.0, 2221.0], [971.0, 2221.0], [971.0, 2256.0], [597.0, 2256.0]], ('=CUSTOMER COPY', 0.949072539806366)]]	{"store_name": "WAL\u2605MART", "store_addr": "", "telephone": "(630)213-7000", "date": "02/14/03", "time": "09:46:31", "subtotal": "24.64", "tax": "0.99 0.49", "total": "26.12 26.12", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "GATORADE", "item_value": "2.07", "item_quantity": "1"}, {"item_key": "", "item_name": "CANDY", "item_value": "4.36", "item_quantity": "1"}, {"item_key": "", "item_name": "LISTERINE", "item_value": "4.48", "item_quantity": "1"}, {"item_key": "", "item_name": "ODOREATER", "item_value": "4.76", "item_quantity": "1"}, {"item_key": "", "item_name": "GELSOLE", "item_value": "8.97", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[232.0, 2.0], [398.0, 0.0], [398.0, 15.0], [232.0, 18.0]], ('Kiwiana Restaurant', 0.9815422892570496)], [[[233.0, 19.0], [397.0, 16.0], [397.0, 32.0], [233.0, 36.0]], ('847 A Union Street', 0.9349188208580017)], [[[229.0, 39.0], [399.0, 34.0], [399.0, 51.0], [229.0, 55.0]], ('Brooklyn.NY 11215', 0.9314910769462585)], [[[255.0, 56.0], [373.0, 54.0], [374.0, 71.0], [256.0, 73.0]], ('718-230-3682', 0.9873106479644775)], [[[93.0, 108.0], [142.0, 105.0], [143.0, 128.0], [94.0, 130.0]], ('Tbl:4', 0.9622360467910767)], [[[446.0, 101.0], [542.0, 95.0], [543.0, 116.0], [448.0, 122.0]], ('Ref:57204', 0.9652919769287109)], [[[443.0, 126.0], [545.0, 120.0], [546.0, 141.0], [445.0, 146.0]], ('Chk:57373', 0.9696310758590698)], [[[89.0, 164.0], [134.0, 164.0], [134.0, 186.0], [89.0, 186.0]], ('Nino', 0.9991527795791626)], [[[375.0, 158.0], [547.0, 154.0], [548.0, 174.0], [376.0, 179.0]], ('2/5/201712:19 pm', 0.9480637311935425)], [[[508.0, 208.0], [554.0, 208.0], [554.0, 231.0], [508.0, 231.0]], ('7.00', 0.9966513514518738)], [[[120.0, 220.0], [224.0, 220.0], [224.0, 241.0], [120.0, 241.0]], ('bloody mary', 0.9651798009872437)], [[[511.0, 237.0], [556.0, 237.0], [556.0, 259.0], [511.0, 259.0]], ('8.00', 0.9967209696769714)], [[[117.0, 247.0], [254.0, 243.0], [255.0, 267.0], [117.0, 270.0]], ('Mimosa Special', 0.9844467043876648)], [[[115.0, 274.0], [175.0, 274.0], [175.0, 296.0], [115.0, 296.0]], ('Coffee', 0.9970657229423523)], [[[511.0, 268.0], [557.0, 265.0], [558.0, 288.0], [512.0, 290.0]], ('2.75', 0.9979377388954163)], [[[115.0, 303.0], [198.0, 303.0], [198.0, 323.0], [115.0, 323.0]], ('Florentine', 0.9977485537528992)], [[[503.0, 295.0], [561.0, 295.0], [561.0, 319.0], [503.0, 319.0]], ('12.00', 0.997300922870636)], [[[112.0, 331.0], [229.0, 329.0], [229.0, 353.0], [112.0, 355.0]], ('French Toast', 0.9844843745231628)], [[[504.0, 326.0], [563.0, 326.0], [563.0, 351.0], [504.0, 351.0]], ('13.00', 0.9979877471923828)], [[[251.0, 389.0], [340.0, 389.0], [340.0, 410.0], [251.0, 410.0]], ('SubTotal', 0.995760440826416)], [[[507.0, 387.0], [566.0, 387.0], [566.0, 412.0], [507.0, 412.0]], ('42.75', 0.9980019330978394)], [[[245.0, 412.0], [340.0, 414.0], [339.0, 438.0], [244.0, 436.0]], ('State Tax', 0.9500448703765869)], [[[519.0, 411.0], [568.0, 414.0], [567.0, 439.0], [518.0, 436.0]], ('3.79', 0.9857334494590759)], [[[286.0, 464.0], [343.0, 464.0], [343.0, 489.0], [286.0, 489.0]], ('Total', 0.9983159899711609)], [[[508.0, 465.0], [570.0, 468.0], [569.0, 493.0], [507.0, 491.0]], ('48.54', 0.9213472604751587)], [[[91.0, 560.0], [548.0, 567.0], [548.0, 588.0], [91.0, 581.0]], ('Immigrants make America great (they also cooked', 0.9558435678482056)], [[[173.0, 583.0], [465.0, 590.0], [464.0, 609.0], [172.0, 602.0]], ('your food and served you today)', 0.9420243501663208)]]	{"store_name": "KiwianaRestaurant", "store_addr": "Brooklyn,NY11215 847AUnionStreet", "telephone": "718-230-3682", "date": "2/5/2017", "time": "12:19pm", "subtotal": "42.75", "tax": "3.79", "total": "46.54", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "FrenchToast", "item_value": "13.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Florentine", "item_value": "12.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Coffee", "item_value": "2.75", "item_quantity": "1"}, {"item_key": "", "item_name": "MimosaSpecial", "item_value": "8.00", "item_quantity": "1"}, {"item_key": "", "item_name": "bloodymary", "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	[[[[273.0, 118.0], [380.0, 113.0], [381.0, 127.0], [274.0, 132.0]], ('9/10/20151:23:57P', 0.9444866180419922)], [[[247.0, 146.0], [315.0, 144.0], [316.0, 158.0], [248.0, 160.0]], ('Thrift Store', 0.9537115693092346)], [[[192.0, 170.0], [221.0, 170.0], [221.0, 183.0], [192.0, 183.0]], ('2780', 0.9876640439033508)], [[[256.0, 166.0], [337.0, 164.0], [337.0, 179.0], [256.0, 181.0]], ('Academy Bivd', 0.8602185249328613)], [[[208.0, 184.0], [234.0, 188.0], [232.0, 199.0], [206.0, 195.0]], ('391', 0.791036069393158)], [[[261.0, 184.0], [343.0, 181.0], [344.0, 195.0], [261.0, 198.0]], ('719)391-7717', 0.8984671235084534)], [[[311.0, 201.0], [348.0, 203.0], [347.0, 218.0], [310.0, 216.0]], ('Recpur', 0.8940110802650452)], [[[132.0, 227.0], [211.0, 224.0], [212.0, 239.0], [132.0, 242.0]], ('RefDate /10/', 0.8663226962089539)], [[[337.0, 228.0], [388.0, 226.0], [389.0, 240.0], [338.0, 242.0]], ('Store:006', 0.9518265128135681)], [[[373.0, 251.0], [391.0, 251.0], [391.0, 259.0], [373.0, 259.0]], ('omk', 0.9183107018470764)], [[[140.0, 283.0], [186.0, 283.0], [186.0, 298.0], [140.0, 298.0]], ('Regular', 0.9960479140281677)], [[[216.0, 279.0], [275.0, 282.0], [273.0, 300.0], [215.0, 297.0]], ('WS5', 0.8972792029380798)], [[[130.0, 331.0], [176.0, 331.0], [176.0, 345.0], [130.0, 345.0]], ('tem Disc', 0.8597643971443176)], [[[242.0, 331.0], [271.0, 331.0], [271.0, 347.0], [242.0, 347.0]], ('%', 0.9951593279838562)], [[[349.0, 329.0], [400.0, 329.0], [400.0, 343.0], [349.0, 343.0]], ('Sale Price', 0.9369350671768188)], [[[131.0, 355.0], [248.0, 354.0], [249.0, 368.0], [131.0, 369.0]], ('BRICBR-KIT PLASTICY', 0.8962382078170776)], [[[132.0, 370.0], [177.0, 370.0], [177.0, 381.0], [132.0, 381.0]], ('YELLOW', 0.9734423756599426)], [[[129.0, 382.0], [224.0, 382.0], [224.0, 395.0], [129.0, 395.0]], ('QTY1 Price 189', 0.8802744150161743)], [[[248.0, 378.0], [326.0, 377.0], [326.0, 392.0], [249.0, 393.0]], ('0%199', 0.8847368955612183)], [[[130.0, 415.0], [249.0, 411.0], [250.0, 425.0], [130.0, 429.0]], ('BRICBR-KIT PLASTIC-Y', 0.9285322427749634)], [[[131.0, 428.0], [177.0, 428.0], [177.0, 439.0], [131.0, 439.0]], ('YELLOW', 0.9432352185249329)], [[[128.0, 440.0], [225.0, 438.0], [225.0, 452.0], [128.0, 454.0]], ('QTY 1 Pnce 1.99', 0.8639853000640869)], [[[250.0, 437.0], [327.0, 435.0], [327.0, 449.0], [251.0, 451.0]], ('0%1.99', 0.922612726688385)], [[[130.0, 471.0], [262.0, 469.0], [262.0, 486.0], [130.0, 488.0]], ('FURNIT-COMP MISC-WHI', 0.8851767778396606)], [[[131.0, 488.0], [169.0, 488.0], [169.0, 499.0], [131.0, 499.0]], ('WHITE', 0.9816744923591614)], [[[128.0, 500.0], [226.0, 498.0], [226.0, 512.0], [128.0, 514.0]], ('QTY 1 Price 3.99', 0.9003294706344604)], [[[252.0, 496.0], [330.0, 494.0], [330.0, 511.0], [253.0, 513.0]], ('50%2.00', 0.9266206622123718)], [[[129.0, 534.0], [249.0, 532.0], [250.0, 546.0], [129.0, 548.0]], ('BRICBR-OFFICE-BLUE-', 0.964613676071167)], [[[131.0, 548.0], [160.0, 548.0], [160.0, 559.0], [131.0, 559.0]], ('BLUE', 0.9948269724845886)], [[[128.0, 561.0], [227.0, 561.0], [227.0, 575.0], [128.0, 575.0]], ('QTY 1Pnice 1.99', 0.8996351361274719)], [[[253.0, 559.0], [306.0, 557.0], [307.0, 572.0], [254.0, 574.0]], ('%0', 0.8295289278030396)], [[[300.0, 558.0], [332.0, 558.0], [332.0, 573.0], [300.0, 573.0]], ('1.99', 0.9759116768836975)], [[[126.0, 599.0], [220.0, 599.0], [220.0, 616.0], [126.0, 616.0]], ('Total Qty.4', 0.9294466376304626)], [[[336.0, 632.0], [423.0, 632.0], [423.0, 649.0], [336.0, 649.0]], ('Subtotal7.97', 0.9555127024650574)], [[[327.0, 657.0], [426.0, 657.0], [426.0, 674.0], [327.0, 674.0]], ('Round Up 0.00', 0.9409685134887695)], [[[311.0, 685.0], [405.0, 684.0], [405.0, 702.0], [312.0, 703.0]], ('Tax Rate 7.63', 0.9136765003204346)], [[[318.0, 715.0], [429.0, 715.0], [429.0, 732.0], [318.0, 732.0]], ('Tax Amount 0.61', 0.9377361536026001)], [[[307.0, 740.0], [431.0, 740.0], [431.0, 757.0], [307.0, 757.0]], ('Total wth Tax 8.58', 0.9252331256866455)], [[[122.0, 810.0], [154.0, 810.0], [154.0, 826.0], [122.0, 826.0]], ('VISA', 0.9964230060577393)], [[[223.0, 805.0], [286.0, 803.0], [287.0, 820.0], [223.0, 822.0]], ('Credit Card', 0.9249992966651917)], [[[323.0, 802.0], [408.0, 802.0], [408.0, 819.0], [323.0, 819.0]], ('Tendered8.58', 0.9853469729423523)], [[[155.0, 834.0], [403.0, 831.0], [403.0, 852.0], [155.0, 855.0]], ('No Cash/Credit Card Refunds', 0.9642040729522705)], [[[199.0, 867.0], [362.0, 863.0], [362.0, 887.0], [199.0, 891.0]], ('In-store Credit Only', 0.9414311647415161)], [[[199.0, 897.0], [358.0, 894.0], [358.0, 911.0], [199.0, 914.0]], ('Retun within 10 days of', 0.9398629665374756)], [[[246.0, 916.0], [312.0, 913.0], [313.0, 930.0], [247.0, 933.0]], ('purchase', 0.9967143535614014)], [[[202.0, 934.0], [359.0, 929.0], [360.0, 949.0], [203.0, 954.0]], ('-Original price tag intact', 0.9099155068397522)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "9/10/2015", "time": "", "subtotal": "7.97", "tax": "0.61", "total": "8.58 Tendered:8.58", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "BRICBR-KITPLASTIC.Y", "item_value": "1.99", "item_quantity": "1"}, {"item_key": "", "item_name": "BRICBR-KITPLASTIC.Y", "item_value": "1.99", "item_quantity": "1"}, {"item_key": "", "item_name": "FURNIT-COMPMISC-WHI", "item_value": "2.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BRICBR-OFFICE-BLUE-", "item_value": "1.99", "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	[[[[21.0, 78.0], [135.0, 78.0], [135.0, 91.0], [21.0, 91.0]], ('9/10/201411:46AM', 0.9751036763191223)], [[[165.0, 77.0], [291.0, 70.0], [292.0, 84.0], [166.0, 91.0]], ('Sales Receipt #325712', 0.9328179359436035)], [[[23.0, 93.0], [72.0, 91.0], [72.0, 105.0], [23.0, 107.0]], ('Store.1', 0.9552313685417175)], [[[23.0, 107.0], [293.0, 98.0], [294.0, 116.0], [23.0, 125.0]], ('GLENDALE CAR WASH/DETAIL CENTER', 0.9534693956375122)], [[[63.0, 124.0], [256.0, 116.0], [256.0, 130.0], [64.0, 138.0]], ('725 E Colorado Street 818-240-6170', 0.894859790802002)], [[[98.0, 136.0], [224.0, 131.0], [225.0, 145.0], [98.0, 149.0]], ('FREE Wi-FIAVAILABLE', 0.903375506401062)], [[[66.0, 151.0], [253.0, 144.0], [253.0, 158.0], [67.0, 165.0]], ('Regular Wash $8.99 On Tue & Wed', 0.9031211137771606)], [[[227.0, 169.0], [279.0, 167.0], [280.0, 180.0], [228.0, 182.0]], ('Ext Price', 0.9413214921951294)], [[[25.0, 179.0], [91.0, 175.0], [92.0, 189.0], [26.0, 193.0]], ('item Name', 0.9186968207359314)], [[[155.0, 173.0], [176.0, 173.0], [176.0, 185.0], [155.0, 185.0]], ('Qly', 0.8799231648445129)], [[[190.0, 170.0], [228.0, 168.0], [229.0, 182.0], [191.0, 184.0]], ('Price', 0.9714159965515137)], [[[189.0, 183.0], [223.0, 181.0], [224.0, 195.0], [191.0, 198.0]], ('$9.99', 0.9083216786384583)], [[[247.0, 181.0], [291.0, 178.0], [292.0, 191.0], [248.0, 195.0]], ('S9.99N', 0.9444376826286316)], [[[28.0, 192.0], [108.0, 187.0], [109.0, 200.0], [29.0, 206.0]], ('SPECIAL DAY', 0.9584377408027649)], [[[188.0, 197.0], [233.0, 195.0], [234.0, 208.0], [188.0, 211.0]], ('Subtatal:', 0.888237714767456)], [[[260.0, 194.0], [293.0, 191.0], [294.0, 205.0], [261.0, 208.0]], ('666S', 0.8488696217536926)], [[[189.0, 211.0], [233.0, 208.0], [234.0, 222.0], [189.0, 225.0]], ('0% Tax', 0.8849146962165833)], [[[252.0, 208.0], [294.0, 205.0], [295.0, 219.0], [253.0, 222.0]], ('$0.00', 0.8704795837402344)], [[[62.0, 220.0], [144.0, 212.0], [146.0, 226.0], [63.0, 234.0]], ('Local Sales Tax', 0.9212735891342163)], [[[142.0, 227.0], [234.0, 221.0], [235.0, 235.0], [143.0, 241.0]], ('RECEIPT TOTAL:', 0.9391871690750122)], [[[262.0, 221.0], [294.0, 218.0], [295.0, 233.0], [263.0, 236.0]], ('$9.99', 0.9965770840644836)], [[[88.0, 256.0], [150.0, 249.0], [152.0, 262.0], [89.0, 269.0]], ('Cash$9.99', 0.9623921513557434)], [[[84.0, 277.0], [248.0, 266.0], [250.0, 282.0], [85.0, 294.0]], ('t Was Our Pleasure Servng you!', 0.9035391211509705)], [[[109.0, 289.0], [223.0, 280.0], [224.0, 294.0], [110.0, 303.0]], ('Have a Wonderful Day.', 0.8820819854736328)]]	{"store_name": "GLENDALECARWASH/DETAILCENTER", "store_addr": "725EColoradoStreet818-240-6170", "telephone": "", "date": "9/10/2014", "time": "11:46AM", "subtotal": "$9.99", "tax": "+$0.00", "total": "$9.99", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "SPECIALDAY", "item_value": "$9.99N", "item_quantity": "1"}, {"item_key": "ItemName", "item_name": "", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[253.0, 91.0], [453.0, 102.0], [451.0, 137.0], [251.0, 126.0]], ('65 Airport Blvd.', 0.9537725448608398)], [[[250.0, 149.0], [458.0, 161.0], [456.0, 196.0], [248.0, 183.0]], ('Singapore 819663', 0.9805588722229004)], [[[262.0, 180.0], [447.0, 191.0], [445.0, 225.0], [260.0, 214.0]], ('TEL:62426653', 0.9276276230812073)], [[[204.0, 238.0], [487.0, 257.0], [484.0, 294.0], [201.0, 275.0]], ('REG NO:RCS 1.1.191.1', 0.9214646220207214)], [[[217.0, 278.0], [489.0, 297.0], [486.0, 329.0], [214.0, 310.0]], ('GST No:M4-0004578-0', 0.9331876635551453)], [[[485.0, 328.0], [535.0, 328.0], [535.0, 364.0], [485.0, 364.0]], ('SGD', 0.9971668124198914)], [[[52.0, 350.0], [339.0, 361.0], [338.0, 389.0], [51.0, 378.0]], ('EMMI YOG-APRICOT 1KG', 0.9532397389411926)], [[[543.0, 368.0], [608.0, 368.0], [608.0, 402.0], [543.0, 402.0]], ('7.15', 0.9922792911529541)], [[[121.0, 393.0], [296.0, 400.0], [295.0, 428.0], [120.0, 421.0]], ('NORMAL PRICE', 0.9710602164268494)], [[[335.0, 402.0], [397.0, 402.0], [397.0, 433.0], [335.0, 433.0]], ('8.70', 0.9984583854675293)], [[[42.0, 430.0], [278.0, 439.0], [277.0, 469.0], [41.0, 460.0]], ('LSOUVERNIR 3.30', 0.9517154693603516)], [[[544.0, 445.0], [615.0, 445.0], [615.0, 482.0], [544.0, 482.0]], ('3.30', 0.9940568804740906)], [[[95.0, 471.0], [218.0, 477.0], [216.0, 512.0], [93.0, 506.0]], ('SUBTOTAL', 0.9971233606338501)], [[[538.0, 486.0], [618.0, 489.0], [617.0, 524.0], [537.0, 522.0]], ('10.45', 0.9932886362075806)], [[[90.0, 552.0], [169.0, 559.0], [166.0, 597.0], [87.0, 590.0]], ('TOTAL', 0.9988061189651489)], [[[543.0, 572.0], [626.0, 577.0], [623.0, 614.0], [540.0, 609.0]], ('10.45', 0.9969520568847656)], [[[37.0, 585.0], [99.0, 595.0], [93.0, 630.0], [31.0, 620.0]], ('VISA', 0.9983347058296204)], [[[545.0, 617.0], [630.0, 624.0], [626.0, 662.0], [541.0, 654.0]], ('10.45', 0.9938918352127075)], [[[36.0, 627.0], [341.0, 654.0], [338.0, 691.0], [33.0, 664.0]], ('ACNT NO.###########', 0.9167581796646118)]]	{"store_name": "FAIRPRICEFINEST", "store_addr": "CHANGIAIRPORTTERMINAL3 65AirportBlvd. Basement2North#B2-10 Singapore819663", "telephone": "62426653", "date": "", "time": "", "subtotal": "10.45", "tax": "", "total": "10.45", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "EMMIYOG-APRICOT1KG", "item_value": "7.15", "item_quantity": "1"}, {"item_key": "", "item_name": "LSOUVERNIR3.30", "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	[[[[463.0, 5.0], [1437.0, 0.0], [1440.0, 83.0], [466.0, 106.0]], ('TEL# 703 827014031', 0.8844733834266663)], [[[1145.0, 304.0], [2213.0, 259.0], [2218.0, 372.0], [1150.0, 417.0]], ("Jan.15'16 Fri18:32", 0.9182560443878174)], [[[230.0, 346.0], [563.0, 330.0], [569.0, 448.0], [236.0, 464.0]], ('KS#13', 0.9965853691101074)], [[[235.0, 598.0], [1453.0, 549.0], [1458.0, 650.0], [239.0, 698.0]], ('MFY SIDE 1 KVS Order 55', 0.914829432964325)], [[[1984.0, 769.0], [2247.0, 769.0], [2247.0, 878.0], [1984.0, 878.0]], ('TOTAL', 0.9981659054756165)], [[[222.0, 837.0], [645.0, 818.0], [650.0, 923.0], [227.0, 942.0]], ('QTY ITEM', 0.9587240219116211)], [[[2032.0, 895.0], [2264.0, 895.0], [2264.0, 1008.0], [2032.0, 1008.0]], ('6.79', 0.997260332107544)], [[[321.0, 963.0], [1458.0, 927.0], [1462.0, 1028.0], [324.0, 1064.0]], ('1 Cpy Btrmi 1k Ckn Mea1', 0.9160177111625671)], [[[416.0, 1084.0], [952.0, 1070.0], [955.0, 1175.0], [419.0, 1189.0]], ('1 M Sprite', 0.9467064142227173)], [[[1731.0, 1159.0], [1856.0, 1159.0], [1856.0, 1281.0], [1731.0, 1281.0]], ('1P', 0.9888297319412231)], [[[2045.0, 1151.0], [2277.0, 1151.0], [2277.0, 1264.0], [2045.0, 1264.0]], ('0.00', 0.9975355863571167)], [[[317.0, 1214.0], [1364.0, 1192.0], [1367.0, 1293.0], [319.0, 1315.0]], ('1 Cpy Buttermi 1k Ckn', 0.9260701537132263)], [[[2049.0, 1281.0], [2289.0, 1281.0], [2289.0, 1407.0], [2049.0, 1407.0]], ('1.19', 0.9946914911270142)], [[[317.0, 1349.0], [1420.0, 1327.0], [1422.0, 1423.0], [319.0, 1445.0]], ('13 Mozzare1a Sticks', 0.9465961456298828)], [[[411.0, 1475.0], [956.0, 1461.0], [959.0, 1574.0], [414.0, 1589.0]], ('1 No Sauce', 0.9334529042243958)], [[[2066.0, 1684.0], [2311.0, 1684.0], [2311.0, 1810.0], [2066.0, 1810.0]], ('7.98', 0.9977289438247681)], [[[183.0, 1753.0], [629.0, 1738.0], [633.0, 1855.0], [188.0, 1870.0]], ('Subtotal', 0.994101345539093)], [[[2075.0, 1823.0], [2320.0, 1823.0], [2320.0, 1949.0], [2075.0, 1949.0]], ('0.48', 0.9965410232543945)], [[[292.0, 1886.0], [477.0, 1886.0], [477.0, 2008.0], [292.0, 2008.0]], ('Tax', 0.9952499866485596)], [[[2088.0, 2104.0], [2337.0, 2104.0], [2337.0, 2234.0], [2088.0, 2234.0]], ('8.46', 0.9966227412223816)], [[[179.0, 2172.0], [951.0, 2149.0], [955.0, 2263.0], [183.0, 2286.0]], ('Take-Out Total', 0.9418147802352905)], [[[2100.0, 2394.0], [2350.0, 2394.0], [2350.0, 2524.0], [2100.0, 2524.0]], ('8.46', 0.9972283244132996)], [[[162.0, 2458.0], [899.0, 2435.0], [903.0, 2552.0], [166.0, 2576.0]], ('Cash Tendered', 0.966619074344635)], [[[2107.0, 2547.0], [2358.0, 2535.0], [2364.0, 2665.0], [2114.0, 2677.0]], ('0.00', 0.997296929359436)], [[[149.0, 2594.0], [508.0, 2605.0], [504.0, 2740.0], [145.0, 2729.0]], ('Change', 0.9986791014671326)], [[[372.0, 3059.0], [2080.0, 3002.0], [2085.0, 3119.0], [377.0, 3176.0]], ('Apply at www.mcstate.com/20509', 0.9573666453361511)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "Jan.15'16(Fri)", "time": "18:32", "subtotal": "7.98", "tax": "0.48", "total": "8.46", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "CpyBtrmilkCknMeal", "item_value": "6.79", "item_quantity": "1"}, {"item_key": "", "item_name": "1MSprite", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "CpyButtermilkCkn", "item_value": "1.19", "item_quantity": "1"}, {"item_key": "", "item_name": "3MozzarellaSticks", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "1NoSauce", "item_value": "", "item_quantity": ""}, {"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	[[[[320.0, 60.0], [544.0, 55.0], [545.0, 94.0], [321.0, 99.0]], ('TARGET', 0.994539201259613)], [[[324.0, 100.0], [541.0, 99.0], [541.0, 119.0], [324.0, 120.0]], ('EXPECT MORE.PAY LESS:', 0.9181162714958191)], [[[156.0, 158.0], [616.0, 153.0], [616.0, 176.0], [156.0, 180.0]], ('COLUMBUSNORTHEAST-614-471-2154', 0.9731003046035767)], [[[144.0, 183.0], [658.0, 178.0], [658.0, 201.0], [144.0, 207.0]], ('10/01/2015 11:05 AM EXPIRES12/30/15', 0.9193612337112427)], [[[89.0, 316.0], [185.0, 316.0], [185.0, 342.0], [89.0, 342.0]], ('GROCERY', 0.997996985912323)], [[[90.0, 343.0], [212.0, 343.0], [212.0, 367.0], [90.0, 367.0]], ('055090854', 0.9984572529792786)], [[[303.0, 341.0], [389.0, 341.0], [389.0, 369.0], [303.0, 369.0]], ('REESES', 0.9974674582481384)], [[[494.0, 340.0], [531.0, 340.0], [531.0, 369.0], [494.0, 369.0]], ('FN', 0.9916809797286987)], [[[578.0, 339.0], [655.0, 336.0], [656.0, 366.0], [579.0, 369.0]], ('$1.29', 0.9959678649902344)], [[[416.0, 393.0], [520.0, 393.0], [520.0, 417.0], [416.0, 417.0]], ('SUBTOTAL', 0.9963980913162231)], [[[577.0, 390.0], [651.0, 390.0], [651.0, 418.0], [577.0, 418.0]], ('$1.29', 0.9188750386238098)], [[[441.0, 419.0], [526.0, 419.0], [526.0, 442.0], [441.0, 442.0]], ('NC TAX', 0.83848637342453)], [[[576.0, 417.0], [649.0, 417.0], [649.0, 441.0], [576.0, 441.0]], ('$0.00', 0.9970633387565613)], [[[455.0, 442.0], [523.0, 442.0], [523.0, 467.0], [455.0, 467.0]], ('TOTAL', 0.9984413981437683)], [[[572.0, 440.0], [646.0, 438.0], [647.0, 465.0], [574.0, 468.0]], ('$1.29', 0.9964051246643066)], [[[312.0, 490.0], [519.0, 490.0], [519.0, 509.0], [312.0, 509.0]], ('e *8235 CurrentC', 0.900408148765564)], [[[570.0, 487.0], [641.0, 487.0], [641.0, 511.0], [570.0, 511.0]], ('$1.29', 0.9961494207382202)], [[[148.0, 560.0], [613.0, 556.0], [614.0, 581.0], [148.0, 586.0]], ("Target Pharmacy We're here to help!", 0.9240700602531433)], [[[294.0, 585.0], [469.0, 582.0], [469.0, 606.0], [295.0, 608.0]], ('9am-7pm M-F', 0.9334642291069031)], [[[295.0, 609.0], [472.0, 609.0], [472.0, 632.0], [295.0, 632.0]], ('9am-5pm Sat', 0.929077684879303)], [[[297.0, 635.0], [485.0, 635.0], [485.0, 657.0], [297.0, 657.0]], ('11am-5pmSun', 0.93605637550354)], [[[131.0, 685.0], [636.0, 681.0], [636.0, 705.0], [131.0, 708.0]], ('If you have any inquiries,know of an', 0.9212146401405334)], [[[118.0, 711.0], [649.0, 707.0], [649.0, 730.0], [118.0, 735.0]], ('erroror if your mobile device is lost', 0.9277952313423157)], [[[158.0, 736.0], [623.0, 734.0], [623.0, 757.0], [158.0, 759.0]], ('or stolen, please contact CurrentC', 0.9337103366851807)], [[[147.0, 760.0], [627.0, 758.0], [627.0, 784.0], [147.0, 786.0]], ('immediately byca11ing 855-772-8773', 0.9370811581611633)], [[[120.0, 787.0], [649.0, 787.0], [649.0, 809.0], [120.0, 809.0]], ('via email at [email protected],', 0.9566409587860107)], [[[131.0, 812.0], [648.0, 811.0], [648.0, 835.0], [131.0, 836.0]], ('or via mail at Currentc Customer Care,', 0.924992024898529)], [[[142.0, 839.0], [617.0, 836.0], [617.0, 858.0], [142.0, 861.0]], ('P0Box 30575TampaFL33631-3575', 0.9593828916549683)], [[[102.0, 887.0], [694.0, 884.0], [694.0, 909.0], [102.0, 913.0]], ('REC#2-5274-1072-0071-3633-0VCD#752-287-153', 0.9817155003547668)]]	{"store_name": "TARGET", "store_addr": "COLUMBUSNORTHEAST-", "telephone": "614-471-2154", "date": "10/01/2015", "time": "11:05AM", "subtotal": "$1.29", "tax": "$0.00", "total": "$1.29 $1.29", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "REESES", "item_value": "$1.29", "item_quantity": "1"}, {"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	[[[[342.0, 26.0], [501.0, 46.0], [493.0, 101.0], [335.0, 81.0]], ('PURCHASE xx', 0.9320539832115173)], [[[261.0, 133.0], [499.0, 154.0], [495.0, 197.0], [257.0, 176.0]], ('Panda Express #2614', 0.9640627503395081)], [[[306.0, 181.0], [452.0, 193.0], [450.0, 214.0], [304.0, 202.0]], ('Brooklyn, NY', 0.8906001448631287)], [[[296.0, 197.0], [445.0, 213.0], [443.0, 235.0], [293.0, 219.0]], ('718246-3898', 0.9928489327430725)], [[[104.0, 230.0], [360.0, 252.0], [358.0, 274.0], [102.0, 252.0]], ('12/22/2017 4:58:01PM', 0.9509092569351196)], [[[101.0, 257.0], [265.0, 268.0], [263.0, 290.0], [100.0, 279.0]], ('Order:196812', 0.9609589576721191)], [[[493.0, 265.0], [568.0, 272.0], [565.0, 295.0], [490.0, 288.0]], ('-TO GO-', 0.8895663022994995)], [[[367.0, 278.0], [566.0, 297.0], [564.0, 318.0], [365.0, 299.0]], ('Server:Cheryfia M', 0.9435506463050842)], [[[139.0, 308.0], [226.0, 314.0], [225.0, 337.0], [137.0, 331.0]], ('1 Plate', 0.9241757988929749)], [[[200.0, 334.0], [350.0, 344.0], [348.0, 366.0], [199.0, 356.0]], ('CHOW MEIN-1/2', 0.9620381593704224)], [[[510.0, 334.0], [558.0, 338.0], [556.0, 362.0], [508.0, 358.0]], ('9.10', 0.9952703714370728)], [[[199.0, 358.0], [349.0, 368.0], [347.0, 389.0], [198.0, 379.0]], ('CHOW MEIN-1/2', 0.9581030607223511)], [[[198.0, 380.0], [346.0, 389.0], [344.0, 411.0], [197.0, 402.0]], ('BROCCOLI BEEF', 0.960608720779419)], [[[197.0, 403.0], [334.0, 410.0], [333.0, 432.0], [196.0, 425.0]], ('BEIJING BEEF', 0.9610889554023743)], [[[138.0, 423.0], [223.0, 427.0], [222.0, 449.0], [137.0, 444.0]], ('1Plate', 0.9911143779754639)], [[[197.0, 448.0], [342.0, 453.0], [341.0, 475.0], [196.0, 470.0]], ('CHOW MEIN-1/2', 0.9675134420394897)], [[[495.0, 440.0], [543.0, 443.0], [541.0, 466.0], [494.0, 463.0]], ('9.10', 0.9974265694618225)], [[[197.0, 470.0], [340.0, 475.0], [339.0, 497.0], [196.0, 491.0]], ('CHOW MEIN-1/2', 0.9704118371009827)], [[[195.0, 493.0], [326.0, 496.0], [326.0, 517.0], [195.0, 513.0]], ('CKN EGG ROLL', 0.9143597483634949)], [[[193.0, 513.0], [327.0, 517.0], [327.0, 538.0], [193.0, 534.0]], ('KUNG PAOCKN', 0.9536009430885315)], [[[137.0, 529.0], [287.0, 536.0], [286.0, 557.0], [136.0, 550.0]], ('1XTRA ENTREE', 0.9608855247497559)], [[[194.0, 548.0], [385.0, 557.0], [384.0, 578.0], [192.0, 569.0]], ('GRILL TERIYAKI CKN', 0.9297718405723572)], [[[484.0, 543.0], [529.0, 543.0], [529.0, 567.0], [484.0, 567.0]], ('1.50', 0.9955253005027771)], [[[139.0, 566.0], [280.0, 573.0], [280.0, 591.0], [138.0, 584.0]], ('1XTRAENTREE', 0.9803615808486938)], [[[192.0, 586.0], [381.0, 597.0], [379.0, 618.0], [190.0, 607.0]], ('GRILL TERIYAKI CKN', 0.9256317615509033)], [[[480.0, 583.0], [527.0, 583.0], [527.0, 606.0], [480.0, 606.0]], ('1.50', 0.9912581443786621)], [[[138.0, 603.0], [160.0, 606.0], [158.0, 620.0], [136.0, 617.0]], ('1', 0.8904033303260803)], [[[153.0, 602.0], [278.0, 609.0], [277.0, 627.0], [152.0, 621.0]], ('PEPSI20 ', 0.9190987348556519)], [[[131.0, 623.0], [277.0, 626.0], [277.0, 648.0], [131.0, 645.0]], ('1 PEPSI 20OZ', 0.8718127608299255)], [[[483.0, 616.0], [529.0, 619.0], [528.0, 639.0], [482.0, 636.0]], ('2.00', 0.9957815408706665)], [[[485.0, 638.0], [531.0, 638.0], [531.0, 657.0], [485.0, 657.0]], ('2.00', 0.998369574546814)], [[[271.0, 668.0], [356.0, 672.0], [355.0, 695.0], [270.0, 691.0]], ('SubTotal', 0.9536884427070618)], [[[478.0, 675.0], [535.0, 677.0], [534.0, 700.0], [477.0, 698.0]], ('25.20', 0.9937349557876587)], [[[270.0, 692.0], [308.0, 692.0], [308.0, 717.0], [270.0, 717.0]], ('TAX', 0.9963065981864929)], [[[487.0, 700.0], [536.0, 700.0], [536.0, 724.0], [487.0, 724.0]], ('2.24', 0.9940340518951416)], [[[269.0, 715.0], [325.0, 720.0], [321.0, 763.0], [265.0, 758.0]], ('Total', 0.9972297549247742)], [[[476.0, 720.0], [539.0, 723.0], [536.0, 766.0], [473.0, 763.0]], ('27.44', 0.9657815098762512)], [[[263.0, 804.0], [317.0, 809.0], [313.0, 855.0], [259.0, 850.0]], ('Visa', 0.9952746033668518)], [[[475.0, 807.0], [540.0, 810.0], [537.0, 858.0], [472.0, 855.0]], ('27.44', 0.9563611149787903)], [[[263.0, 854.0], [458.0, 857.0], [458.0, 879.0], [263.0, 876.0]], ('AcctXXXxxxxx0103', 0.80482417345047)], [[[262.0, 879.0], [434.0, 877.0], [435.0, 899.0], [262.0, 901.0]], ('AuthCode:02776A', 0.9673120379447937)], [[[220.0, 952.0], [414.0, 943.0], [416.0, 987.0], [222.0, 995.0]], ('FREE ENTREE ITEM!', 0.9331724643707275)], [[[520.0, 966.0], [533.0, 966.0], [533.0, 988.0], [520.0, 988.0]], ('X', 0.5905022025108337)]]	{"store_name": "PandaExpress#2614", "store_addr": "Brooklyn,NY", "telephone": "(718)246-3898", "date": "12/22/2017", "time": "4:58:01PM", "subtotal": "25.20", "tax": "2.24", "total": "27.44 27.44", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "CHOWMEIN-1/2", "item_value": "9.10", "item_quantity": "1"}, {"item_key": "", "item_name": "CHOWMEIN-1/2", "item_value": "9.10", "item_quantity": "1"}, {"item_key": "", "item_name": "BROCCOLIBEEF", "item_value": "1.50", "item_quantity": "1"}, {"item_key": "", "item_name": "BEIJINGBEEF", "item_value": "1.50", "item_quantity": "1"}, {"item_key": "", "item_name": "CHOWMEIN-1/2", "item_value": "2.00", "item_quantity": "1"}, {"item_key": "", "item_name": "CHOWMEIN-1/2", "item_value": "2.00", "item_quantity": "1"}, {"item_key": "", "item_name": "CKNEGGROLL", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "KUNGPAOCKN", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "XTRAENTREE", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "GRILLTERIYAKICKN", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "XTRAENTREE", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "PEPSI200Z", "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	[[[[147.0, 15.0], [318.0, 15.0], [318.0, 48.0], [147.0, 48.0]], ('TESCO', 0.9175459146499634)], [[[147.0, 61.0], [311.0, 61.0], [311.0, 78.0], [147.0, 78.0]], ('TANJUNG PINANG', 0.9726995229721069)], [[[159.0, 95.0], [303.0, 93.0], [303.0, 112.0], [159.0, 115.0]], ('Cpony Reg No.521419K', 0.8159468770027161)], [[[139.0, 128.0], [325.0, 124.0], [326.0, 144.0], [140.0, 148.0]], ('THA-YOU FOR SHOPPING AT TESCO', 0.8483592867851257)], [[[127.0, 163.0], [277.0, 163.0], [277.0, 180.0], [127.0, 180.0]], ('09556001030221NESTLE ELI', 0.884865939617157)], [[[306.0, 159.0], [335.0, 157.0], [337.0, 178.0], [308.0, 180.0]], ('3.79', 0.9932839870452881)], [[[126.0, 182.0], [278.0, 178.0], [278.0, 196.0], [127.0, 199.0]], ('09556001030375 NESILE ELL', 0.8650773763656616)], [[[309.0, 176.0], [339.0, 176.0], [339.0, 196.0], [309.0, 196.0]], ('3.79', 0.9886854290962219)], [[[127.0, 199.0], [280.0, 196.0], [280.0, 213.0], [128.0, 216.0]], ('9IN 836330880290099960', 0.5224220156669617)], [[[309.0, 193.0], [339.0, 193.0], [339.0, 212.0], [309.0, 212.0]], ('5.09', 0.9849167466163635)], [[[127.0, 217.0], [280.0, 214.0], [280.0, 231.0], [128.0, 234.0]], ('09555106308303 SEN93R NIG', 0.8755191564559937)], [[[310.0, 210.0], [340.0, 210.0], [340.0, 230.0], [310.0, 230.0]], ('5.09', 0.994292676448822)], [[[129.0, 251.0], [163.0, 251.0], [163.0, 270.0], [129.0, 270.0]], ('TOTAL', 0.8925111889839172)], [[[308.0, 245.0], [342.0, 245.0], [342.0, 264.0], [308.0, 264.0]], ('17.76', 0.9946649670600891)], [[[130.0, 269.0], [161.0, 269.0], [161.0, 289.0], [130.0, 289.0]], ('Cash', 0.9876429438591003)], [[[307.0, 262.0], [342.0, 262.0], [342.0, 282.0], [307.0, 282.0]], ('20.00', 0.9902583956718445)], [[[131.0, 288.0], [185.0, 288.0], [185.0, 306.0], [131.0, 306.0]], ('Ro.nding', 0.8873597979545593)], [[[310.0, 281.0], [341.0, 278.0], [343.0, 297.0], [312.0, 299.0]], ('0.01', 0.9899985194206238)], [[[130.0, 307.0], [196.0, 304.0], [197.0, 322.0], [131.0, 325.0]], ('CHANGE DLE', 0.8558346033096313)], [[[314.0, 298.0], [343.0, 294.0], [345.0, 314.0], [316.0, 317.0]], ('2.25', 0.9864199161529541)], [[[122.0, 343.0], [358.0, 330.0], [359.0, 347.0], [123.0, 359.0]], ('JOIN CLUBCARD TODAY!', 0.9208202362060547)], [[[121.0, 362.0], [362.0, 348.0], [363.0, 365.0], [122.0, 379.0]], ('********', 0.5328887104988098)], [[[297.0, 369.0], [332.0, 369.0], [332.0, 384.0], [297.0, 384.0]], ('8', 0.8287637233734131)], [[[122.0, 380.0], [295.0, 370.0], [296.0, 387.0], [123.0, 397.0]], ('CLUBCARD POINTS HISSED TODAY', 0.9476546049118042)], [[[124.0, 416.0], [365.0, 399.0], [366.0, 416.0], [125.0, 433.0]], ('*************************************', 0.8982028365135193)], [[[141.0, 433.0], [352.0, 419.0], [353.0, 436.0], [142.0, 450.0]], ('Join us cn wu.facetook.cow/tesccy', 0.8855321407318115)], [[[201.0, 463.0], [300.0, 457.0], [301.0, 475.0], [202.0, 481.0]], ('SHOPPING HOURS:', 0.9234529733657837)], [[[192.0, 483.0], [308.0, 473.0], [310.0, 491.0], [194.0, 501.0]], ('Mon-Sn08:00-01:00', 0.8966721892356873)], [[[164.0, 504.0], [336.0, 490.0], [337.0, 507.0], [166.0, 520.0]], ('For fur ther enuiries please', 0.8952301740646362)], [[[160.0, 522.0], [341.0, 508.0], [342.0, 525.0], [162.0, 539.0]], ('contact us at wu.tesco.con.y', 0.911812424659729)], [[[137.0, 556.0], [363.0, 533.0], [365.0, 553.0], [139.0, 576.0]], ('23/00/11 15:59.004001910020303', 0.9405118227005005)]]	{"store_name": "TESCO", "store_addr": "", "telephone": "", "date": "23/08/11", "time": "15:59", "subtotal": "", "tax": "", "total": "17.76", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "NESILEELI", "item_value": "3.79", "item_quantity": "1"}, {"item_key": "", "item_name": "NESTLEBLI", "item_value": "3.79", "item_quantity": "1"}, {"item_key": "", "item_name": "SENSORNIG", "item_value": "5.09", "item_quantity": "1"}, {"item_key": "", "item_name": "SENSORNIG", "item_value": "5.09", "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	[[[[141.0, 135.0], [319.0, 135.0], [319.0, 149.0], [141.0, 149.0]], ('Curious Palette', 0.9853594303131104)], [[[162.0, 156.0], [291.0, 156.0], [291.0, 173.0], [162.0, 173.0]], ('GST Reg No:201135411E', 0.9389495849609375)], [[[218.0, 148.0], [237.0, 148.0], [237.0, 156.0], [218.0, 156.0]], ('XXX', 0.631077766418457)], [[[168.0, 169.0], [272.0, 169.0], [272.0, 183.0], [168.0, 183.0]], ('64 Prinsep Street', 0.9480010867118835)], [[[172.0, 180.0], [272.0, 178.0], [272.0, 195.0], [172.0, 197.0]], ('Singapore 188667', 0.9626541137695312)], [[[176.0, 192.0], [272.0, 192.0], [272.0, 206.0], [176.0, 206.0]], ('TABLE:18', 0.9611893892288208)], [[[102.0, 205.0], [137.0, 205.0], [137.0, 219.0], [102.0, 219.0]], ('Pax:8', 0.8943184614181519)], [[[187.0, 202.0], [237.0, 206.0], [236.0, 221.0], [186.0, 217.0]], ('OP:Wynna', 0.9457952976226807)], [[[300.0, 202.0], [335.0, 205.0], [334.0, 220.0], [299.0, 217.0]], ('Wynna', 0.9429311752319336)], [[[103.0, 217.0], [206.0, 217.0], [206.0, 231.0], [103.0, 231.0]], ('POS TitleCashier', 0.9608467817306519)], [[[281.0, 213.0], [344.0, 216.0], [344.0, 231.0], [281.0, 228.0]], ('POS:POS001', 0.8992098569869995)], [[[102.0, 230.0], [213.0, 227.0], [213.0, 241.0], [102.0, 244.0]], ('Rcpt#:A16000001705', 0.9673265814781189)], [[[248.0, 228.0], [345.0, 228.0], [345.0, 242.0], [248.0, 242.0]], ('16/01/2016 15:29', 0.9707915782928467)], [[[115.0, 251.0], [191.0, 254.0], [191.0, 268.0], [115.0, 265.0]], ('1 Flat White', 0.9284887313842773)], [[[126.0, 265.0], [220.0, 265.0], [220.0, 279.0], [126.0, 279.0]], ('Pina Colada Tea', 0.962243378162384)], [[[127.0, 278.0], [195.0, 278.0], [195.0, 292.0], [127.0, 292.0]], ('Sangria Tea', 0.9478328824043274)], [[[128.0, 289.0], [189.0, 289.0], [189.0, 303.0], [128.0, 303.0]], ('Iced Mocha', 0.9489304423332214)], [[[127.0, 301.0], [220.0, 301.0], [220.0, 315.0], [127.0, 315.0]], ('Ricotta Hotcake', 0.9790835976600647)], [[[126.0, 313.0], [224.0, 311.0], [224.0, 325.0], [126.0, 327.0]], ('Lavender Manjari', 0.9790518283843994)], [[[128.0, 325.0], [199.0, 325.0], [199.0, 336.0], [128.0, 336.0]], ('Matcha Azuki', 0.9287375807762146)], [[[127.0, 336.0], [189.0, 336.0], [189.0, 350.0], [127.0, 350.0]], ('Spam Fries', 0.9375209808349609)], [[[128.0, 348.0], [189.0, 348.0], [189.0, 362.0], [128.0, 362.0]], ('Iced Mocha', 0.9656645655632019)], [[[312.0, 344.0], [331.0, 344.0], [331.0, 375.0], [312.0, 375.0]], ('1515', 0.5475320816040039)], [[[118.0, 361.0], [129.0, 361.0], [129.0, 369.0], [118.0, 369.0]], ('1.', 0.6651769280433655)], [[[127.0, 361.0], [189.0, 361.0], [189.0, 372.0], [127.0, 372.0]], ('Cafe Mocha', 0.9640495181083679)], [[[126.0, 372.0], [226.0, 372.0], [226.0, 385.0], [126.0, 385.0]], ('Nachos Con Carne', 0.9557055830955505)], [[[308.0, 368.0], [331.0, 368.0], [331.0, 385.0], [308.0, 385.0]], ('$12.', 0.9850064516067505)], [[[128.0, 394.0], [176.0, 394.0], [176.0, 409.0], [128.0, 409.0]], ('SUBTOTAL', 0.9957656860351562)], [[[308.0, 394.0], [335.0, 394.0], [335.0, 410.0], [308.0, 410.0]], ('$95.', 0.9929192066192627)], [[[332.0, 395.0], [346.0, 395.0], [346.0, 409.0], [332.0, 409.0]], ('40', 0.9980130195617676)], [[[127.0, 405.0], [201.0, 407.0], [201.0, 422.0], [127.0, 420.0]], ('10%Svr Chrg', 0.9459347128868103)], [[[127.0, 419.0], [165.0, 419.0], [165.0, 433.0], [127.0, 433.0]], ('7%GST', 0.9865106344223022)], [[[128.0, 442.0], [186.0, 442.0], [186.0, 459.0], [128.0, 459.0]], ('TOTAL', 0.9980974197387695)], [[[258.0, 441.0], [348.0, 443.0], [348.0, 460.0], [258.0, 458.0]], ('$112.29', 0.9965489506721497)], [[[196.0, 505.0], [257.0, 509.0], [256.0, 525.0], [195.0, 522.0]], ('Thank you', 0.9584358930587769)], [[[179.0, 521.0], [267.0, 521.0], [267.0, 535.0], [179.0, 535.0]], ('See you again!', 0.9505244493484497)], [[[184.0, 533.0], [280.0, 534.0], [280.0, 545.0], [184.0, 544.0]], ('***', 0.5552943348884583)], [[[140.0, 567.0], [310.0, 569.0], [310.0, 586.0], [140.0, 584.0]], ('PreSett lement Bill Copy:1', 0.8813313245773315)], [[[176.0, 582.0], [274.0, 582.0], [274.0, 596.0], [176.0, 596.0]], ('16/01/2016 17:17', 0.9541820287704468)]]	{"store_name": "CuriousPalette", "store_addr": "Singapore188667 64PrinsepStreet", "telephone": "", "date": "16/01/2016 16/01/2016", "time": "17:17 15:29", "subtotal": "$95.40", "tax": "$7.35", "total": "$112.29", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "NachosConCarne", "item_value": "$12.90", "item_quantity": "1"}, {"item_key": "", "item_name": "CafeMocha", "item_value": "$5.50", "item_quantity": "1"}, {"item_key": "", "item_name": "IcedMocha", "item_value": "$6.90", "item_quantity": "1"}, {"item_key": "", "item_name": "SpamFries", "item_value": "$11.90", "item_quantity": "1"}, {"item_key": "", "item_name": "MatchaAzuki", "item_value": "$8.50", "item_quantity": "1"}, {"item_key": "", "item_name": "LavenderManjari", "item_value": "$8.00", "item_quantity": "1"}, {"item_key": "", "item_name": "RicottaHotcake", "item_value": "$14.90", "item_quantity": "1"}, {"item_key": "", "item_name": "IcedMocha", "item_value": "$6.90", "item_quantity": "1"}, {"item_key": "", "item_name": "SangriaTea", "item_value": "$7.50", "item_quantity": "1"}, {"item_key": "", "item_name": "PinaColadaTea", "item_value": "$7.50", "item_quantity": "1"}, {"item_key": "", "item_name": "FlatWhite", "item_value": "$4.90", "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	[[[[262.0, 94.0], [395.0, 107.0], [393.0, 130.0], [260.0, 117.0]], ('KFC KL CENTRAL', 0.9331650137901306)], [[[262.0, 118.0], [398.0, 129.0], [396.0, 151.0], [260.0, 141.0]], ('Tel:0193359902', 0.9348759055137634)], [[[251.0, 141.0], [415.0, 150.0], [413.0, 174.0], [250.0, 165.0]], ('Store ID:1010281', 0.9418114423751831)], [[[260.0, 166.0], [396.0, 174.0], [395.0, 194.0], [259.0, 186.0]], ('www.kfc.com.my', 0.951653778553009)], [[[172.0, 229.0], [477.0, 238.0], [476.0, 262.0], [172.0, 253.0]], ('Jalan Utara 46200 Peta1ing Jaya', 0.9439876675605774)], [[[232.0, 259.0], [430.0, 261.0], [430.0, 280.0], [232.0, 277.0]], ('Selangor Daru1 Ehsan', 0.9298998713493347)], [[[133.0, 276.0], [515.0, 281.0], [515.0, 305.0], [132.0, 300.0]], ('wif Code: 904502', 0.7985680103302002)], [[[193.0, 305.0], [479.0, 305.0], [479.0, 324.0], [193.0, 324.0]], ('SVC TAX IDW10-1808-32000273', 0.9568625688552856)], [[[128.0, 349.0], [234.0, 349.0], [234.0, 372.0], [128.0, 372.0]], ('3COUNTER3', 0.9864341020584106)], [[[430.0, 345.0], [532.0, 345.0], [532.0, 368.0], [430.0, 368.0]], ('2 NUR ZILA', 0.9226409196853638)], [[[130.0, 396.0], [353.0, 392.0], [354.0, 415.0], [130.0, 419.0]], ('Check1234', 0.9919655323028564)], [[[239.0, 419.0], [426.0, 413.0], [426.0, 436.0], [240.0, 442.0]], ('21 Sep 18 19:47:16', 0.9041777849197388)], [[[126.0, 468.0], [407.0, 461.0], [408.0, 484.0], [126.0, 491.0]], ('2T SNKER BOX OR E E @8.40', 0.8805549144744873)], [[[449.0, 461.0], [500.0, 461.0], [500.0, 481.0], [449.0, 481.0]], ('16.80', 0.9952190518379211)], [[[130.0, 497.0], [140.0, 497.0], [140.0, 512.0], [130.0, 512.0]], ('C', 0.5858246088027954)], [[[167.0, 493.0], [327.0, 489.0], [327.0, 508.0], [167.0, 512.0]], ('STRAW REGE#E', 0.9519233107566833)], [[[157.0, 518.0], [317.0, 512.0], [318.0, 534.0], [158.0, 540.0]], ('NUGG BOX OR E E', 0.9133725762367249)], [[[450.0, 511.0], [504.0, 511.0], [504.0, 531.0], [450.0, 531.0]], ('10.30', 0.9961592555046082)], [[[132.0, 525.0], [140.0, 525.0], [140.0, 537.0], [132.0, 537.0]], ('-', 0.639223575592041)], [[[168.0, 543.0], [326.0, 537.0], [327.0, 560.0], [169.0, 566.0]], ('STRAW REGE#E', 0.9543010592460632)], [[[451.0, 559.0], [508.0, 559.0], [508.0, 583.0], [451.0, 583.0]], ('13.75', 0.9941433072090149)], [[[155.0, 570.0], [349.0, 562.0], [350.0, 585.0], [155.0, 592.0]], ('TSNTURE BX OR E E', 0.916088342666626)], [[[168.0, 595.0], [329.0, 589.0], [330.0, 612.0], [169.0, 618.0]], ('STRAW REG E#E', 0.9197208881378174)], [[[462.0, 611.0], [511.0, 611.0], [511.0, 635.0], [462.0, 635.0]], ('3.00', 0.9979064464569092)], [[[155.0, 623.0], [350.0, 614.0], [351.0, 637.0], [156.0, 646.0]], ('RICE ALA CARTE E E', 0.9306759238243103)], [[[454.0, 637.0], [512.0, 637.0], [512.0, 661.0], [454.0, 661.0]], ('50.00', 0.9926431775093079)], [[[157.0, 648.0], [205.0, 645.0], [207.0, 670.0], [159.0, 674.0]], ('CASH', 0.9975549578666687)], [[[163.0, 700.0], [329.0, 696.0], [330.0, 719.0], [163.0, 723.0]], ('Total iten sold:', 0.9005653858184814)], [[[499.0, 691.0], [515.0, 691.0], [515.0, 712.0], [499.0, 712.0]], ('5', 0.9992087483406067)], [[[459.0, 717.0], [516.0, 717.0], [516.0, 741.0], [459.0, 741.0]], ('43.85', 0.9951408505439758)], [[[159.0, 727.0], [256.0, 724.0], [257.0, 746.0], [159.0, 750.0]], ('Sub Total', 0.9176671504974365)], [[[159.0, 753.0], [320.0, 749.0], [321.0, 772.0], [159.0, 776.0]], ('Service Tax @6%', 0.9310659766197205)], [[[469.0, 745.0], [518.0, 745.0], [518.0, 769.0], [469.0, 769.0]], ('2.63', 0.993462860584259)], [[[159.0, 779.0], [226.0, 779.0], [226.0, 803.0], [159.0, 803.0]], ('Total:', 0.9845385551452637)], [[[462.0, 773.0], [518.0, 773.0], [518.0, 797.0], [462.0, 797.0]], ('46.48', 0.9782277345657349)], [[[158.0, 807.0], [234.0, 807.0], [234.0, 831.0], [158.0, 831.0]], ('Rnd Adj', 0.9796479344367981)], [[[470.0, 800.0], [519.0, 800.0], [519.0, 825.0], [470.0, 825.0]], ('0.02', 0.9916512370109558)], [[[156.0, 833.0], [278.0, 832.0], [278.0, 856.0], [156.0, 857.0]], ('Tt1 Aft Rnd', 0.8955528736114502)], [[[465.0, 831.0], [519.0, 831.0], [519.0, 851.0], [465.0, 851.0]], ('46.50', 0.9963221549987793)], [[[156.0, 863.0], [236.0, 863.0], [236.0, 887.0], [156.0, 887.0]], ('Payment', 0.9979070425033569)], [[[460.0, 856.0], [521.0, 853.0], [522.0, 878.0], [462.0, 882.0]], ('50.00', 0.9967800378799438)], [[[157.0, 891.0], [268.0, 889.0], [269.0, 913.0], [158.0, 915.0]], ('Change Due', 0.9613015055656433)], [[[472.0, 884.0], [521.0, 884.0], [521.0, 908.0], [472.0, 908.0]], ('3.50', 0.9965245723724365)], [[[164.0, 919.0], [489.0, 913.0], [490.0, 936.0], [164.0, 941.0]], ('-2 CL0SED21 Sep 18 19:47:35', 0.8708061575889587)], [[[484.0, 920.0], [504.0, 920.0], [504.0, 931.0], [484.0, 931.0]], ('-', 0.8145430088043213)], [[[130.0, 947.0], [565.0, 940.0], [565.0, 963.0], [130.0, 969.0]], ('-PURCHASE one ATa carte 3pcs chicken', 0.923712968826294)], [[[137.0, 973.0], [556.0, 967.0], [556.0, 989.0], [138.0, 996.0]], ('Origina1 or Spicy at 10% discount on', 0.9177700877189636)], [[[171.0, 1001.0], [530.0, 995.0], [531.0, 1017.0], [171.0, 1024.0]], ('next visit to any KFC restaurant.', 0.9435108304023743)], [[[192.0, 1027.0], [500.0, 1023.0], [500.0, 1045.0], [192.0, 1049.0]], ('-Complete a brief survey at', 0.9551178812980652)], [[[214.0, 1056.0], [474.0, 1052.0], [474.0, 1073.0], [215.0, 1077.0]], ('www.kfc.com.my/feedback', 0.9803854823112488)], [[[151.0, 1081.0], [556.0, 1077.0], [556.0, 1100.0], [151.0, 1104.0]], ("within 3 days of this receipt's date.", 0.9364824295043945)], [[[148.0, 1109.0], [453.0, 1109.0], [453.0, 1128.0], [148.0, 1128.0]], ('Get your Validation Code :', 0.8981574773788452)], [[[158.0, 1133.0], [535.0, 1133.0], [535.0, 1156.0], [158.0, 1156.0]], ('when you have completed the survey.', 0.9526360630989075)], [[[167.0, 1159.0], [537.0, 1157.0], [537.0, 1180.0], [167.0, 1181.0]], ('-Present your original receipt to', 0.9333217740058899)], [[[150.0, 1184.0], [556.0, 1184.0], [556.0, 1207.0], [150.0, 1207.0]], ('enjoy this great offer within 30 days.', 0.9493199586868286)], [[[198.0, 1208.0], [513.0, 1207.0], [514.0, 1231.0], [199.0, 1232.0]], ('Terms and conditions apply.', 0.943419873714447)], [[[165.0, 1231.0], [547.0, 1231.0], [547.0, 1257.0], [165.0, 1257.0]], ('-Valid for Eat In or Takeaway only.', 0.9237070083618164)]]	{"store_name": "KFCKLCENTRAL", "store_addr": "Lvl12Tower1,VSquare@PJCityCentre JalanUtara46200PetalingJaya SelangorDarulEhsan", "telephone": "0193359902", "date": "21Sep18 E21Sep18", "time": "19:47:16 19:47:35", "subtotal": "43.85", "tax": "2.63", "total": "46.48", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "[email protected]", "item_value": "16.80", "item_quantity": "1"}, {"item_key": "", "item_name": "STRAWREGE#E", "item_value": "10.30", "item_quantity": "1"}, {"item_key": "", "item_name": "NUGGBOXOREE", "item_value": "13.75", "item_quantity": "1"}, {"item_key": "", "item_name": "STRAWREGE#E", "item_value": "3.00", "item_quantity": "1"}, {"item_key": "", "item_name": "TSNTUREBXOREE", "item_value": "50.00", "item_quantity": "1"}, {"item_key": "", "item_name": "STRAWREGE#E", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "RICEALACARTEEE", "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	[[[[33.0, 50.0], [270.0, 51.0], [270.0, 68.0], [33.0, 67.0]], ('Receipt-Duplicate 16/05/2016 9:30:02PM', 0.9390082359313965)], [[[32.0, 83.0], [189.0, 83.0], [189.0, 96.0], [32.0, 96.0]], ('R K EA TING HOUSE PTE LTD', 0.8958429098129272)], [[[32.0, 98.0], [81.0, 98.0], [81.0, 109.0], [32.0, 109.0]], ('Singapore', 0.9981777667999268)], [[[31.0, 110.0], [169.0, 112.0], [169.0, 126.0], [31.0, 125.0]], ('GST Reg No200405800K', 0.9542526006698608)], [[[30.0, 124.0], [233.0, 128.0], [233.0, 145.0], [30.0, 142.0]], ('ReceiptRKE-INV-00604084DNo:179', 0.9573083519935608)], [[[31.0, 142.0], [76.0, 142.0], [76.0, 156.0], [31.0, 156.0]], ('Table:11', 0.9497504234313965)], [[[30.0, 170.0], [78.0, 168.0], [79.0, 183.0], [30.0, 185.0]], ('Qty tem', 0.8457212448120117)], [[[162.0, 168.0], [196.0, 171.0], [195.0, 185.0], [161.0, 182.0]], ('Price', 0.9938948750495911)], [[[207.0, 173.0], [230.0, 173.0], [230.0, 185.0], [207.0, 185.0]], ('Amt', 0.997964084148407)], [[[29.0, 198.0], [36.0, 198.0], [36.0, 208.0], [29.0, 208.0]], ('1', 0.9299113154411316)], [[[59.0, 197.0], [116.0, 197.0], [116.0, 208.0], [59.0, 208.0]], ('TEAHALIA', 0.9922070503234863)], [[[181.0, 197.0], [205.0, 197.0], [205.0, 209.0], [181.0, 209.0]], ('1.30', 0.9238589406013489)], [[[221.0, 198.0], [246.0, 198.0], [246.0, 210.0], [221.0, 210.0]], ('1.30', 0.8768917322158813)], [[[29.0, 210.0], [36.0, 210.0], [36.0, 221.0], [29.0, 221.0]], ('1', 0.7608058452606201)], [[[58.0, 209.0], [157.0, 209.0], [157.0, 222.0], [58.0, 222.0]], ('SUNNY SIDE UPE', 0.9336740374565125)], [[[181.0, 210.0], [207.0, 210.0], [207.0, 223.0], [181.0, 223.0]], ('0.50', 0.994753360748291)], [[[221.0, 210.0], [246.0, 210.0], [246.0, 222.0], [221.0, 222.0]], ('0.50', 0.9955457448959351)], [[[58.0, 221.0], [98.0, 223.0], [97.0, 235.0], [57.0, 233.0]], ('ROJAK', 0.9975191950798035)], [[[181.0, 222.0], [207.0, 222.0], [207.0, 235.0], [181.0, 235.0]], ('5.50', 0.9810667037963867)], [[[221.0, 223.0], [246.0, 223.0], [246.0, 235.0], [221.0, 235.0]], ('5.50', 0.9950230121612549)], [[[58.0, 235.0], [127.0, 235.0], [127.0, 246.0], [58.0, 246.0]], ('TEAC HALIA', 0.9490563273429871)], [[[181.0, 235.0], [206.0, 235.0], [206.0, 247.0], [181.0, 247.0]], ('1.40', 0.9879573583602905)], [[[221.0, 235.0], [246.0, 235.0], [246.0, 247.0], [221.0, 247.0]], ('1.40', 0.990012526512146)], [[[27.0, 247.0], [38.0, 247.0], [38.0, 261.0], [27.0, 261.0]], ('2', 0.9966385364532471)], [[[56.0, 245.0], [135.0, 246.0], [134.0, 260.0], [56.0, 259.0]], ('PLAIN PRATA', 0.9641101360321045)], [[[180.0, 245.0], [208.0, 248.0], [207.0, 262.0], [179.0, 259.0]], ('1.10', 0.9705051779747009)], [[[219.0, 246.0], [247.0, 246.0], [247.0, 261.0], [219.0, 261.0]], ('2.20', 0.973084032535553)], [[[28.0, 260.0], [36.0, 260.0], [36.0, 269.0], [28.0, 269.0]], ('1', 0.950934648513794)], [[[56.0, 258.0], [160.0, 259.0], [160.0, 273.0], [56.0, 272.0]], ('FRIED MEE CHICK', 0.9445732831954956)], [[[181.0, 260.0], [206.0, 260.0], [206.0, 272.0], [181.0, 272.0]], ('4.70', 0.9964472055435181)], [[[221.0, 260.0], [246.0, 260.0], [246.0, 272.0], [221.0, 272.0]], ('4.70', 0.9958463311195374)], [[[27.0, 285.0], [69.0, 288.0], [69.0, 303.0], [27.0, 300.0]], ('Qty7', 0.9417146444320679)], [[[28.0, 298.0], [89.0, 300.0], [88.0, 315.0], [28.0, 312.0]], ('Sub Total:', 0.9200488328933716)], [[[217.0, 298.0], [249.0, 298.0], [249.0, 313.0], [217.0, 313.0]], ('15.60', 0.9952856302261353)], [[[27.0, 311.0], [79.0, 314.0], [78.0, 328.0], [27.0, 325.0]], ('GST:7%', 0.8979724049568176)], [[[221.0, 310.0], [247.0, 313.0], [246.0, 328.0], [219.0, 325.0]], ('1.09', 0.9950586557388306)], [[[28.0, 338.0], [187.0, 342.0], [187.0, 359.0], [28.0, 355.0]], ('Amount(Round Off/0.01', 0.944047212600708)], [[[213.0, 340.0], [255.0, 340.0], [255.0, 358.0], [213.0, 358.0]], ('16.70', 0.9980231523513794)], [[[29.0, 367.0], [120.0, 372.0], [120.0, 386.0], [29.0, 381.0]], ('Cash Received', 0.9808810949325562)], [[[107.0, 358.0], [154.0, 361.0], [153.0, 376.0], [106.0, 373.0]], ('CASH', 0.9975208044052124)], [[[30.0, 380.0], [120.0, 385.0], [120.0, 399.0], [30.0, 395.0]], ('Change Return', 0.9678450226783752)], [[[218.0, 371.0], [254.0, 371.0], [254.0, 385.0], [218.0, 385.0]], ('20.00', 0.9950782060623169)], [[[221.0, 384.0], [251.0, 384.0], [251.0, 399.0], [221.0, 399.0]], ('3.30', 0.995455801486969)], [[[33.0, 429.0], [140.0, 441.0], [138.0, 449.0], [31.0, 442.0]], ('Thanks.for your.pat', 0.8036419749259949)]]	{"store_name": "RKEATINGHOUSEPTELTD", "store_addr": "Singapore", "telephone": "", "date": "16/05/2016", "time": "9:03:02PM", "subtotal": "15.60", "tax": "1.09", "total": "16.70", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "TEAHALIA", "item_value": "1.30", "item_quantity": "1"}, {"item_key": "", "item_name": "SUNNYSIDEUPE", "item_value": "0.50", "item_quantity": "1"}, {"item_key": "", "item_name": "ROJAK", "item_value": "5.50", "item_quantity": "1"}, {"item_key": "", "item_name": "TEACHALIA", "item_value": "1.40", "item_quantity": "1"}, {"item_key": "", "item_name": "PLAINPRATA", "item_value": "2.20", "item_quantity": "1"}, {"item_key": "", "item_name": "FRIEDMEECHICK", "item_value": "4.70", "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	[[[[153.0, 63.0], [237.0, 71.0], [235.0, 88.0], [151.0, 80.0]], ('AMT COFFEE', 0.9708684682846069)], [[[170.0, 86.0], [223.0, 91.0], [222.0, 103.0], [169.0, 98.0]], ('Kent Station', 0.8943206667900085)], [[[186.0, 82.0], [203.0, 82.0], [203.0, 89.0], [186.0, 89.0]], ('BORK', 0.8325196504592896)], [[[167.0, 96.0], [226.0, 101.0], [225.0, 115.0], [166.0, 110.0]], ('Glanntre Road', 0.8510480523109436)], [[[185.0, 108.0], [209.0, 112.0], [207.0, 124.0], [183.0, 120.0]], ('Cork', 0.918028712272644)], [[[179.0, 119.0], [212.0, 122.0], [212.0, 133.0], [178.0, 130.0]], ('IRELAND', 0.959092915058136)], [[[162.0, 138.0], [230.0, 142.0], [229.0, 156.0], [161.0, 152.0]], ('Date/04/2017', 0.9437181353569031)], [[[166.0, 151.0], [225.0, 153.0], [224.0, 167.0], [166.0, 165.0]], ('Tine18:49:16', 0.8131119608879089)], [[[91.0, 163.0], [149.0, 169.0], [148.0, 183.0], [90.0, 177.0]], ('Take Out 155', 0.9271249771118164)], [[[90.0, 186.0], [217.0, 194.0], [216.0, 208.0], [89.0, 200.0]], ('1.xAR-Han&Cheddar Panini', 0.7939109206199646)], [[[87.0, 209.0], [212.0, 215.0], [212.0, 228.0], [86.0, 222.0]], ('xAR-Breakfast Cabatta', 0.8554877042770386)], [[[246.0, 202.0], [272.0, 205.0], [271.0, 220.0], [244.0, 217.0]], ('5.00', 0.9450401663780212)], [[[89.0, 219.0], [139.0, 222.0], [139.0, 233.0], [88.0, 230.0]], ('2e', 0.7775249481201172)], [[[248.0, 216.0], [271.0, 216.0], [271.0, 227.0], [248.0, 227.0]], ('5.00', 0.9139866232872009)], [[[88.0, 227.0], [203.0, 232.0], [202.0, 246.0], [87.0, 241.0]], ('1x Houseblend iea Prtsn', 0.7416039109230042)], [[[249.0, 226.0], [273.0, 226.0], [273.0, 237.0], [249.0, 237.0]], ('85.40', 0.8881739377975464)], [[[251.0, 236.0], [276.0, 236.0], [276.0, 247.0], [251.0, 247.0]], ('92.00', 0.8428167104721069)], [[[88.0, 262.0], [126.0, 262.0], [126.0, 285.0], [88.0, 285.0]], ('Total:', 0.9922707676887512)], [[[252.0, 264.0], [286.0, 264.0], [286.0, 287.0], [252.0, 287.0]], ('17.40', 0.8742219805717468)], [[[89.0, 295.0], [201.0, 295.0], [201.0, 309.0], [89.0, 309.0]], ('VAT inc luded in total', 0.9174883365631104)], [[[263.0, 292.0], [290.0, 292.0], [290.0, 307.0], [263.0, 307.0]], ('1.43', 0.9056687951087952)], [[[87.0, 322.0], [140.0, 322.0], [140.0, 340.0], [87.0, 340.0]], ('Tendered:', 0.9860420227050781)], [[[265.0, 316.0], [297.0, 316.0], [297.0, 330.0], [265.0, 330.0]], ('50.00', 0.9842381477355957)], [[[265.0, 329.0], [298.0, 325.0], [300.0, 340.0], [267.0, 344.0]], ('32.60', 0.9604046940803528)], [[[87.0, 340.0], [130.0, 340.0], [130.0, 354.0], [87.0, 354.0]], ('Change:', 0.9898493885993958)], [[[271.0, 354.0], [306.0, 349.0], [308.0, 365.0], [273.0, 370.0]], ('217.40', 0.8907669186592102)], [[[86.0, 368.0], [119.0, 368.0], [119.0, 382.0], [86.0, 382.0]], ('Cash:', 0.9859669804573059)], [[[236.0, 383.0], [336.0, 371.0], [337.0, 388.0], [238.0, 400.0]], ('VAT Reg No630553855', 0.8832205533981323)], [[[176.0, 433.0], [297.0, 420.0], [298.0, 438.0], [178.0, 449.0]], ('YDU FOR YOUR CUSTOM', 0.8338544368743896)]]	{"store_name": "AMTCOFFEE", "store_addr": "KentStation GlanmireRoad Cork IRELANO", "telephone": "", "date": "/04/2017", "time": "18:49:16", "subtotal": "", "tax": "\u00a31.43", "total": "\u00a317.40 \u00a317.40", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "AR-BreakfastCiabatta", "item_value": "\u00a35.00", "item_quantity": "1"}, {"item_key": "", "item_name": "AR-Han&CheddarPanlni", "item_value": "\u00a35.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Latte", "item_value": "\u00a35.40", "item_quantity": "1"}, {"item_key": "", "item_name": "HouseBlendTeaPrise", "item_value": "\u00a32.00", "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	[[[[72.0, 56.0], [207.0, 52.0], [208.0, 73.0], [72.0, 78.0]], ('Ole Ole Tapas', 0.8684167265892029)], [[[102.0, 75.0], [187.0, 72.0], [187.0, 86.0], [102.0, 90.0]], ('Bar & Restaurant', 0.9398725628852844)], [[[114.0, 87.0], [179.0, 87.0], [179.0, 101.0], [114.0, 101.0]], ('32.Bailgate', 0.9441623091697693)], [[[124.0, 100.0], [165.0, 100.0], [165.0, 115.0], [124.0, 115.0]], ('Lincoln', 0.9584840536117554)], [[[125.0, 113.0], [164.0, 110.0], [164.0, 125.0], [125.0, 128.0]], ('LN13AP', 0.9121003150939941)], [[[102.0, 127.0], [187.0, 124.0], [187.0, 139.0], [102.0, 141.0]], ('Te101522534222', 0.9427996277809143)], [[[130.0, 152.0], [174.0, 152.0], [174.0, 163.0], [130.0, 163.0]], ('-Drinks--', 0.8126472234725952)], [[[50.0, 165.0], [196.0, 162.0], [196.0, 175.0], [50.0, 178.0]], ('Emilio Moro Ribera de Duero', 0.8619721531867981)], [[[216.0, 160.0], [251.0, 160.0], [251.0, 175.0], [216.0, 175.0]], ('00103', 0.6606054306030273)], [[[139.0, 188.0], [165.0, 188.0], [165.0, 199.0], [139.0, 199.0]], ('Food-', 0.9728320837020874)], [[[52.0, 201.0], [171.0, 197.0], [171.0, 211.0], [52.0, 215.0]], ('Cesta De Pan Con Ali-01', 0.878185510635376)], [[[221.0, 198.0], [251.0, 198.0], [251.0, 212.0], [221.0, 212.0]], ('2.75', 0.9874942898750305)], [[[52.0, 214.0], [125.0, 211.0], [126.0, 225.0], [52.0, 228.0]], ('Patatas Bravas', 0.9500317573547363)], [[[221.0, 208.0], [251.0, 210.0], [250.0, 225.0], [220.0, 223.0]], ('3.45', 0.9864076972007751)], [[[54.0, 226.0], [158.0, 221.0], [159.0, 234.0], [54.0, 239.0]], ('Croquetas Al Cabrales', 0.9245920777320862)], [[[221.0, 222.0], [251.0, 222.0], [251.0, 236.0], [221.0, 236.0]], ('3.95', 0.9818923473358154)], [[[55.0, 237.0], [158.0, 232.0], [159.0, 246.0], [55.0, 251.0]], ('Lente jas con Verduras', 0.942885160446167)], [[[221.0, 232.0], [251.0, 234.0], [250.0, 248.0], [220.0, 246.0]], ('3.55', 0.9873057007789612)], [[[55.0, 249.0], [150.0, 245.0], [151.0, 258.0], [55.0, 262.0]], ('Chipirones en Salsa', 0.9272802472114563)], [[[221.0, 244.0], [250.0, 246.0], [249.0, 262.0], [219.0, 259.0]], ('6.75', 0.9807369112968445)], [[[55.0, 261.0], [113.0, 258.0], [114.0, 269.0], [56.0, 272.0]], ('Carrilferas', 0.8223821520805359)], [[[221.0, 256.0], [250.0, 259.0], [249.0, 273.0], [219.0, 270.0]], ('6.95', 0.8208396434783936)], [[[59.0, 279.0], [117.0, 277.0], [117.0, 298.0], [60.0, 301.0]], ('Total:', 0.9828665256500244)], [[[189.0, 277.0], [250.0, 279.0], [249.0, 301.0], [188.0, 298.0]], ('48.40', 0.9958788156509399)], [[[88.0, 306.0], [219.0, 308.0], [219.0, 329.0], [87.0, 326.0]], ('REQUESTED BILL', 0.9633040428161621)], [[[108.0, 335.0], [202.0, 339.0], [201.0, 359.0], [107.0, 355.0]], ('TABLES:12', 0.9438314437866211)], [[[55.0, 365.0], [135.0, 370.0], [134.0, 384.0], [54.0, 379.0]], ('01/07/201419:59', 0.9150458574295044)], [[[45.0, 385.0], [76.0, 385.0], [76.0, 399.0], [45.0, 399.0]], ('STAFF', 0.980981707572937)], [[[208.0, 394.0], [255.0, 398.0], [254.0, 412.0], [207.0, 408.0]], ('Itens:7', 0.9151175618171692)], [[[88.0, 410.0], [189.0, 417.0], [187.0, 441.0], [87.0, 434.0]], ('THANK YOU', 0.9519551396369934)], [[[99.0, 433.0], [171.0, 437.0], [170.0, 449.0], [99.0, 447.0]], ('VAT 165364008', 0.9308079481124878)]]	{"store_name": "Bar&Restaurant OleOleTapas", "store_addr": "LN13AP Lincoln 32.Bailgate", "telephone": "01522534222", "date": "01/07/2014", "time": "18:59", "subtotal": "", "tax": "", "total": "\u00a348.40", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "ChipironesenSaisa", "item_value": "\u00a36.85", "item_quantity": "1"}, {"item_key": "", "item_name": "LentejasconVerduras", "item_value": "\u00a36.75", "item_quantity": "1"}, {"item_key": "", "item_name": "PatatasBeavas", "item_value": "\u00a33.55", "item_quantity": "1"}, {"item_key": "", "item_name": "CestaDePanConAll-01", "item_value": "\u00a33.95", "item_quantity": "1"}, {"item_key": "", "item_name": "EmilioMoro,RiberadelDuero", "item_value": "\u00a33.45", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "\u00a32.75", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "\u00a321.00", "item_quantity": "1"}, {"item_key": "Food", "item_name": "", "item_value": "", "item_quantity": ""}, {"item_key": "Drinks", "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	[[[[228.0, 70.0], [386.0, 87.0], [384.0, 101.0], [227.0, 83.0]], ('EL.COME TOBESTBUY 600', 0.8501526117324829)], [[[234.0, 91.0], [374.0, 108.0], [372.0, 122.0], [233.0, 105.0]], ('SPRINGFIELO.OR 97477', 0.8719666600227356)], [[[252.0, 82.0], [358.0, 96.0], [356.0, 110.0], [250.0, 96.0]], ('3300 GATEWAY ST', 0.8669440746307373)], [[[259.0, 106.0], [355.0, 117.0], [353.0, 131.0], [258.0, 120.0]], ('541736-1127', 0.9805232882499695)], [[[245.0, 127.0], [367.0, 142.0], [365.0, 156.0], [244.0, 141.0]], ('Keep your receipt!', 0.860721230506897)], [[[16.0, 178.0], [38.0, 181.0], [36.0, 197.0], [13.0, 194.0]], ('F9', 0.9765692949295044)], [[[98.0, 184.0], [123.0, 187.0], [121.0, 198.0], [96.0, 196.0]], ('F10', 0.9502914547920227)], [[[154.0, 192.0], [193.0, 198.0], [191.0, 211.0], [152.0, 205.0]], ('Val:', 0.7937231063842773)], [[[151.0, 252.0], [206.0, 255.0], [205.0, 268.0], [150.0, 266.0]], ('5092737', 0.9925170540809631)], [[[228.0, 259.0], [312.0, 270.0], [309.0, 286.0], [225.0, 276.0]], ('EP-NG930TBU', 0.9279352426528931)], [[[394.0, 273.0], [448.0, 267.0], [450.0, 280.0], [396.0, 286.0]], ('2999 N', 0.9103781580924988)], [[[165.0, 292.0], [234.0, 297.0], [234.0, 310.0], [164.0, 306.0]], ('Sales Tax', 0.9149957299232483)], [[[331.0, 310.0], [365.0, 310.0], [365.0, 324.0], [331.0, 324.0]], ('0.00', 0.9656670093536377)], [[[304.0, 332.0], [364.0, 335.0], [363.0, 349.0], [304.0, 347.0]], ('SUSTOTAL', 0.9947585463523865)], [[[394.0, 332.0], [437.0, 327.0], [440.0, 345.0], [396.0, 350.0]], ('29.99', 0.8925701379776001)], [[[298.0, 347.0], [365.0, 349.0], [365.0, 363.0], [298.0, 361.0]], ('Sales Tax', 0.936976969242096)], [[[402.0, 344.0], [438.0, 344.0], [438.0, 359.0], [402.0, 359.0]], ('0.00', 0.9736554622650146)], [[[395.0, 371.0], [439.0, 366.0], [441.0, 383.0], [397.0, 388.0]], ('29.99', 0.9843159914016724)], [[[327.0, 374.0], [363.0, 374.0], [363.0, 388.0], [327.0, 388.0]], ('TOTAL', 0.9923305511474609)], [[[268.0, 395.0], [367.0, 400.0], [366.0, 417.0], [267.0, 411.0]], ('ChrpRead usos', 0.8437525629997253)], [[[396.0, 397.0], [440.0, 394.0], [442.0, 411.0], [398.0, 415.0]], ('29.99', 0.986027717590332)], [[[169.0, 447.0], [255.0, 449.0], [255.0, 462.0], [168.0, 460.0]], ('CU Dy PIN', 0.6745978593826294)], [[[259.0, 533.0], [363.0, 539.0], [362.0, 555.0], [258.0, 550.0]], ('OTHER SAVINGS', 0.9716182351112366)], [[[405.0, 538.0], [448.0, 538.0], [448.0, 556.0], [405.0, 556.0]], ('4000', 0.9921632409095764)], [[[260.0, 548.0], [365.0, 553.0], [363.0, 581.0], [259.0, 575.0]], ('TOTAL SAVINGS', 0.9739084243774414)], [[[405.0, 554.0], [450.0, 554.0], [450.0, 581.0], [405.0, 581.0]], ('40.00', 0.9905908703804016)]]	{"store_name": "WELCOMETOBESTBUY#600", "store_addr": "3300GATEWAYST SPRINGFIELD.OR97477", "telephone": "(541)736-1127", "date": "", "time": "", "subtotal": "29.99", "tax": "0.00 0.00", "total": "29.99 29.99", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "SAMSUNGFASTCHARGEWLSTANDB", "item_value": "29.99", "item_quantity": "1"}, {"item_key": "", "item_name": "40.00PRICEMATCHCOMP", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[91.0, 18.0], [222.0, 17.0], [222.0, 31.0], [91.0, 32.0]], ('Art Burger-Sushi-Bar', 0.9284589886665344)], [[[88.0, 30.0], [225.0, 29.0], [225.0, 43.0], [88.0, 44.0]], ('706A North Ocean Bivd', 0.8756495714187622)], [[[102.0, 42.0], [211.0, 40.0], [212.0, 54.0], [103.0, 56.0]], ('Myrtle Beach.SC', 0.804239809513092)], [[[94.0, 54.0], [217.0, 51.0], [218.0, 65.0], [95.0, 68.0]], ('ned States,29577', 0.8128432631492615)], [[[97.0, 66.0], [213.0, 62.0], [214.0, 76.0], [98.0, 81.0]], ('Tel(843639-4774', 0.8896113038063049)], [[[41.0, 78.0], [274.0, 73.0], [274.0, 90.0], [41.0, 96.0]], ('Prnted September26.2015 at1:56 PM', 0.8281230926513672)], [[[17.0, 105.0], [177.0, 101.0], [178.0, 117.0], [17.0, 121.0]], ('September26.2015 at 1:56', 0.8812173008918762)], [[[247.0, 101.0], [299.0, 101.0], [299.0, 116.0], [247.0, 116.0]], ('OrderE', 0.8657844066619873)], [[[32.0, 119.0], [60.0, 119.0], [60.0, 132.0], [32.0, 132.0]], ('PM', 0.9935948848724365)], [[[257.0, 114.0], [300.0, 114.0], [300.0, 129.0], [257.0, 129.0]], ('20399', 0.9985866546630859)], [[[16.0, 131.0], [132.0, 131.0], [132.0, 145.0], [16.0, 145.0]], ('Table33..2 guests', 0.9275816082954407)], [[[216.0, 125.0], [300.0, 128.0], [300.0, 145.0], [216.0, 143.0]], ('Waiter Sonia', 0.900262176990509)], [[[11.0, 160.0], [92.0, 160.0], [92.0, 177.0], [11.0, 177.0]], ('Michelangelo', 0.9587143063545227)], [[[257.0, 159.0], [301.0, 159.0], [301.0, 174.0], [257.0, 174.0]], ('$11.00', 0.9841716885566711)], [[[10.0, 174.0], [66.0, 176.0], [66.0, 190.0], [10.0, 188.0]], ('ElGreco', 0.9062155485153198)], [[[256.0, 174.0], [302.0, 174.0], [302.0, 189.0], [256.0, 189.0]], ('$13.00', 0.9971583485603333)], [[[9.0, 188.0], [109.0, 188.0], [109.0, 202.0], [9.0, 202.0]], ('Ketel One Vodka', 0.9040814638137817)], [[[263.0, 189.0], [302.0, 189.0], [302.0, 204.0], [263.0, 204.0]], ('$8.00', 0.9969335794448853)], [[[129.0, 219.0], [196.0, 219.0], [196.0, 233.0], [129.0, 233.0]], ('Food Total', 0.9236675500869751)], [[[257.0, 220.0], [303.0, 220.0], [303.0, 234.0], [257.0, 234.0]], ('$24.00', 0.9926820397377014)], [[[116.0, 234.0], [196.0, 234.0], [196.0, 248.0], [116.0, 248.0]], ('Alcohol Total', 0.9138773679733276)], [[[263.0, 233.0], [305.0, 233.0], [305.0, 251.0], [263.0, 251.0]], ('$8.00', 0.9958317875862122)], [[[135.0, 264.0], [197.0, 264.0], [197.0, 281.0], [135.0, 281.0]], ('Sub Total', 0.9555854797363281)], [[[258.0, 267.0], [305.0, 267.0], [305.0, 282.0], [258.0, 282.0]], ('$32.00', 0.9955482482910156)], [[[159.0, 281.0], [197.0, 281.0], [197.0, 296.0], [159.0, 296.0]], ('Tax 1', 0.9006460309028625)], [[[266.0, 283.0], [306.0, 283.0], [306.0, 298.0], [266.0, 298.0]], ('$2.52', 0.9932155609130859)], [[[160.0, 295.0], [197.0, 299.0], [195.0, 315.0], [158.0, 311.0]], ('Tax2', 0.9912316203117371)], [[[267.0, 299.0], [306.0, 299.0], [306.0, 314.0], [267.0, 314.0]], ('000S', 0.7032940983772278)], [[[120.0, 310.0], [197.0, 313.0], [196.0, 330.0], [119.0, 327.0]], ('Alcohol Tax', 0.9518625140190125)], [[[266.0, 314.0], [308.0, 314.0], [308.0, 332.0], [266.0, 332.0]], ('$1.20', 0.9523857831954956)], [[[158.0, 346.0], [197.0, 346.0], [197.0, 364.0], [158.0, 364.0]], ('Total', 0.9960168600082397)], [[[258.0, 346.0], [309.0, 349.0], [308.0, 368.0], [258.0, 365.0]], ('$35.72', 0.9974856972694397)], [[[45.0, 390.0], [248.0, 396.0], [247.0, 413.0], [45.0, 407.0]], ('Thank You For Choosing Art!!', 0.9140016436576843)], [[[15.0, 406.0], [276.0, 414.0], [275.0, 431.0], [15.0, 423.0]], ('Please Corne Back and See Us Again', 0.9470868110656738)]]	{"store_name": "", "store_addr": "", "telephone": "(843)839-4774", "date": "", "time": "", "subtotal": "$32.00", "tax": "$1.20 $0.00 $2.52", "total": "$35.72", "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	[[[[321.0, 43.0], [417.0, 43.0], [417.0, 71.0], [321.0, 71.0]], ('ALDI', 0.9988672137260437)], [[[321.0, 75.0], [432.0, 75.0], [432.0, 99.0], [321.0, 99.0]], ('Store #22', 0.9566693902015686)], [[[183.0, 97.0], [557.0, 100.0], [557.0, 133.0], [183.0, 130.0]], ('4664 Sawmi11 Road Columbus OH', 0.914959728717804)], [[[308.0, 134.0], [445.0, 134.0], [445.0, 161.0], [308.0, 161.0]], ('wWW.ALDI.us', 0.822970449924469)], [[[118.0, 190.0], [482.0, 192.0], [482.0, 220.0], [118.0, 218.0]], ('Your cashier today was Andrea', 0.943304717540741)], [[[120.0, 254.0], [308.0, 256.0], [308.0, 280.0], [120.0, 278.0]], ('Artisan Lettuce', 0.9681085348129272)], [[[518.0, 249.0], [575.0, 246.0], [576.0, 276.0], [519.0, 279.0]], ('1.99', 0.9954692721366882)], [[[591.0, 249.0], [621.0, 249.0], [621.0, 273.0], [591.0, 273.0]], ('F1', 0.9955074191093445)], [[[118.0, 283.0], [236.0, 285.0], [236.0, 312.0], [118.0, 310.0]], ('Mushrooms', 0.9960131049156189)], [[[518.0, 282.0], [576.0, 279.0], [577.0, 306.0], [519.0, 308.0]], ('2.36', 0.994481086730957)], [[[589.0, 279.0], [622.0, 279.0], [622.0, 305.0], [589.0, 305.0]], ('F1', 0.996023416519165)], [[[156.0, 315.0], [200.0, 315.0], [200.0, 341.0], [156.0, 341.0]], ('4@', 0.9979974031448364)], [[[382.0, 311.0], [438.0, 311.0], [438.0, 341.0], [382.0, 341.0]], ('0.59', 0.9930840730667114)], [[[120.0, 347.0], [347.0, 347.0], [347.0, 371.0], [120.0, 371.0]], ('Multi-ColorPeppers', 0.9589657187461853)], [[[520.0, 342.0], [580.0, 339.0], [581.0, 366.0], [521.0, 368.0]], ('0.99', 0.9913146495819092)], [[[595.0, 341.0], [624.0, 341.0], [624.0, 366.0], [595.0, 366.0]], ('F1', 0.9983910918235779)], [[[116.0, 378.0], [273.0, 376.0], [273.0, 403.0], [116.0, 405.0]], ('Baby Carrots', 0.9754310250282288)], [[[523.0, 374.0], [578.0, 372.0], [579.0, 397.0], [524.0, 400.0]], ('1.18', 0.9920625686645508)], [[[595.0, 372.0], [624.0, 372.0], [624.0, 397.0], [595.0, 397.0]], ('F1', 0.9930655360221863)], [[[154.0, 409.0], [201.0, 409.0], [201.0, 436.0], [154.0, 436.0]], ('2@', 0.9951743483543396)], [[[383.0, 404.0], [439.0, 404.0], [439.0, 433.0], [383.0, 433.0]], ('0.59', 0.9945996403694153)], [[[116.0, 440.0], [221.0, 438.0], [221.0, 466.0], [116.0, 468.0]], ('SUBTOTAL', 0.9968158006668091)], [[[521.0, 433.0], [578.0, 433.0], [578.0, 463.0], [521.0, 463.0]], ('6.52', 0.9882539510726929)], [[[114.0, 472.0], [173.0, 469.0], [174.0, 499.0], [115.0, 502.0]], ('6.52', 0.9947035908699036)], [[[234.0, 470.0], [437.0, 467.0], [437.0, 493.0], [234.0, 497.0]], ('1-Taxable @0.00%', 0.9281717538833618)], [[[522.0, 466.0], [578.0, 463.0], [579.0, 493.0], [523.0, 496.0]], ('0.00', 0.9921355247497559)], [[[117.0, 504.0], [247.0, 500.0], [248.0, 528.0], [118.0, 531.0]], ('AMOUNT DUE', 0.9594186544418335)], [[[524.0, 496.0], [580.0, 496.0], [580.0, 526.0], [524.0, 526.0]], ('6.52', 0.9903236627578735)], [[[118.0, 535.0], [346.0, 531.0], [346.0, 558.0], [118.0, 563.0]], ('TOTAL', 0.9904440641403198)], [[[526.0, 529.0], [629.0, 529.0], [629.0, 558.0], [526.0, 558.0]], ('6.52', 0.9953114986419678)], [[[115.0, 567.0], [210.0, 564.0], [211.0, 593.0], [116.0, 595.0]], ('8ITEMS', 0.9881619811058044)]]	{"store_name": "ALDI", "store_addr": "4664SawmillRoad,ColumbusOH", "telephone": "", "date": "", "time": "", "subtotal": "6.52", "tax": "0.00", "total": "6.52 6.52", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "ArtisanLettuce", "item_value": "1.99", "item_quantity": "1"}, {"item_key": "", "item_name": "Mushrooms", "item_value": "2.36", "item_quantity": "1"}, {"item_key": "", "item_name": "Multi-ColorPeppers", "item_value": "0.99", "item_quantity": "1"}, {"item_key": "", "item_name": "BabyCarrots", "item_value": "1.18", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[90.0, 8.0], [144.0, 10.0], [144.0, 24.0], [90.0, 22.0]], ('1015ELMS', 0.8580671548843384)], [[[92.0, 0.0], [146.0, 2.0], [146.0, 13.0], [92.0, 11.0]], ('CROMNE PLAZA', 0.9306938052177429)], [[[82.0, 18.0], [153.0, 19.0], [153.0, 30.0], [82.0, 29.0]], ('DALLAS.TX75202', 0.8983272910118103)], [[[91.0, 29.0], [146.0, 29.0], [146.0, 40.0], [91.0, 40.0]], ('214-742-5678', 0.9705333709716797)], [[[91.0, 37.0], [144.0, 38.0], [144.0, 49.0], [91.0, 48.0]], ('ROOM SERVICE', 0.9109292030334473)], [[[37.0, 56.0], [91.0, 56.0], [91.0, 67.0], [37.0, 67.0]], ('4350 MARIA A', 0.8687809109687805)], [[[113.0, 76.0], [137.0, 76.0], [137.0, 88.0], [113.0, 88.0]], ('1627', 0.9886463284492493)], [[[175.0, 70.0], [195.0, 67.0], [197.0, 79.0], [177.0, 82.0]], ('Gt', 0.6721265316009521)], [[[82.0, 87.0], [156.0, 83.0], [156.0, 97.0], [82.0, 101.0]], ('Feb2616.08:41PM', 0.9169512987136841)], [[[47.0, 104.0], [113.0, 107.0], [112.0, 121.0], [46.0, 118.0]], ('DINE IN', 0.9769040942192078)], [[[41.0, 116.0], [85.0, 119.0], [85.0, 131.0], [40.0, 128.0]], ('1MILK', 0.8641780614852905)], [[[170.0, 117.0], [198.0, 117.0], [198.0, 133.0], [170.0, 133.0]], ('32.95', 0.9864482879638672)], [[[171.0, 108.0], [197.0, 105.0], [198.0, 119.0], [173.0, 122.0]], ('3.00', 0.9889011979103088)], [[[41.0, 126.0], [96.0, 129.0], [96.0, 142.0], [40.0, 139.0]], ('1 RS Rib Eye', 0.854017972946167)], [[[40.0, 136.0], [100.0, 140.0], [99.0, 154.0], [39.0, 150.0]], ('1RS Meatba', 0.9228800535202026)], [[[171.0, 131.0], [196.0, 128.0], [197.0, 139.0], [172.0, 142.0]], ('15', 0.8046914339065552)], [[[174.0, 139.0], [198.0, 139.0], [198.0, 151.0], [174.0, 151.0]], ('9.95', 0.9281672239303589)], [[[42.0, 150.0], [107.0, 150.0], [107.0, 161.0], [42.0, 161.0]], ('1 RS Kid Burger', 0.8873117566108704)], [[[47.0, 161.0], [79.0, 161.0], [79.0, 172.0], [47.0, 172.0]], ('DCCKE', 0.7597659230232239)], [[[41.0, 171.0], [91.0, 171.0], [91.0, 182.0], [41.0, 182.0]], ('1OPEN FOOD', 0.8311341404914856)], [[[176.0, 162.0], [199.0, 162.0], [199.0, 174.0], [176.0, 174.0]], ('5.00', 0.987703263759613)], [[[48.0, 182.0], [80.0, 182.0], [80.0, 193.0], [48.0, 193.0]], ('D.COKE', 0.8356187343597412)], [[[41.0, 192.0], [92.0, 192.0], [92.0, 203.0], [41.0, 203.0]], ('1OPEN FUO3', 0.7599307298660278)], [[[176.0, 183.0], [201.0, 183.0], [201.0, 198.0], [176.0, 198.0]], ('5.00', 0.9919918179512024)], [[[38.0, 202.0], [116.0, 199.0], [117.0, 212.0], [39.0, 215.0]], ('1GELIVERY DHARGE', 0.8490136861801147)], [[[175.0, 196.0], [198.0, 194.0], [200.0, 207.0], [177.0, 209.0]], ('3.00', 0.9923020005226135)], [[[48.0, 223.0], [103.0, 221.0], [104.0, 234.0], [49.0, 236.0]], ('T8KSRATUITY', 0.7551993727684021)], [[[50.0, 214.0], [73.0, 214.0], [73.0, 225.0], [50.0, 225.0]], ('184', 0.5338894724845886)], [[[175.0, 218.0], [201.0, 218.0], [201.0, 230.0], [175.0, 230.0]], ('13.65', 0.9418703317642212)], [[[46.0, 244.0], [103.0, 242.0], [104.0, 256.0], [47.0, 258.0]], ('ORIGINAL TIL', 0.8538035750389099)], [[[176.0, 241.0], [204.0, 241.0], [204.0, 254.0], [176.0, 254.0]], ('75.85', 0.9840481877326965)], [[[48.0, 256.0], [66.0, 256.0], [66.0, 268.0], [48.0, 268.0]], ('TAX.', 0.8500096797943115)], [[[175.0, 262.0], [205.0, 265.0], [204.0, 280.0], [174.0, 277.0]], ('13.65', 0.9832823872566223)], [[[178.0, 253.0], [203.0, 253.0], [203.0, 265.0], [178.0, 265.0]], ('6.01', 0.9865669012069702)], [[[47.0, 267.0], [101.0, 267.0], [101.0, 278.0], [47.0, 278.0]], ('SERVICE CHG', 0.9282691478729248)], [[[30.0, 279.0], [92.0, 279.0], [92.0, 290.0], [30.0, 290.0]], ('C8:42PM TOTAL', 0.8325730562210083)], [[[153.0, 275.0], [203.0, 275.0], [203.0, 289.0], [153.0, 289.0]], ('95.51', 0.9974111318588257)], [[[45.0, 300.0], [98.0, 300.0], [98.0, 314.0], [45.0, 314.0]], ('ADDL SRAT:', 0.8829715847969055)], [[[44.0, 324.0], [75.0, 324.0], [75.0, 339.0], [44.0, 339.0]], ('TOTAL:', 0.9193618893623352)], [[[43.0, 361.0], [71.0, 361.0], [71.0, 376.0], [43.0, 376.0]], ('ROOM:', 0.9414355158805847)], [[[46.0, 392.0], [98.0, 396.0], [97.0, 411.0], [45.0, 408.0]], ('PRINT NAME', 0.9370312690734863)], [[[48.0, 431.0], [94.0, 431.0], [94.0, 442.0], [48.0, 442.0]], ('SIGNATURE', 0.9475785493850708)]]	{"store_name": "", "store_addr": "1015ELMST DALLAB,TXTS202", "telephone": "214-742-5678", "date": "Fab2616", "time": "08:41PM", "subtotal": "75.85", "tax": "6.01", "total": "95.51", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "2%MILK", "item_value": "3.00", "item_quantity": "1"}, {"item_key": "", "item_name": "RSRibEye", "item_value": "32.95", "item_quantity": "1"}, {"item_key": "", "item_name": "RSKidBurger", "item_value": "9.95", "item_quantity": "1"}, {"item_key": "", "item_name": "OCGKE", "item_value": "5.00", "item_quantity": "1"}, {"item_key": "", "item_name": "OPENFOOD", "item_value": "5.00", "item_quantity": "1"}, {"item_key": "", "item_name": "OCGKE", "item_value": "3.00", "item_quantity": "1"}, {"item_key": "", "item_name": "OELIVERYCHARGE", "item_value": "13.65", "item_quantity": "1"}, {"item_key": "", "item_name": "18%GRATUITY", "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	[[[[132.0, 96.0], [206.0, 94.0], [206.0, 107.0], [132.0, 110.0]], ('SALE RECEIPT', 0.9704222083091736)], [[[50.0, 111.0], [125.0, 111.0], [125.0, 125.0], [50.0, 125.0]], ('Store #23952', 0.96649569272995)], [[[162.0, 108.0], [290.0, 105.0], [290.0, 121.0], [162.0, 124.0]], ('tko 04/23/08 14:39:59', 0.945027768611908)], [[[49.0, 127.0], [207.0, 123.0], [207.0, 137.0], [49.0, 141.0]], ('Subway Sandwiches & Salads', 0.9328547120094299)], [[[49.0, 142.0], [183.0, 139.0], [184.0, 152.0], [49.0, 155.0]], ('2070 Paramus Park Ma1', 0.941913902759552)], [[[49.0, 156.0], [96.0, 156.0], [96.0, 170.0], [49.0, 170.0]], ('Paramus', 0.994689404964447)], [[[204.0, 151.0], [257.0, 148.0], [258.0, 166.0], [205.0, 168.0]], ('NJ07652', 0.9777711629867554)], [[[50.0, 170.0], [130.0, 167.0], [131.0, 183.0], [50.0, 187.0]], ('201225-9550', 0.9922372698783875)], [[[51.0, 187.0], [169.0, 182.0], [169.0, 196.0], [51.0, 200.0]], ('Trans#140 Clerk 37', 0.9445069432258606)], [[[181.0, 184.0], [216.0, 184.0], [216.0, 197.0], [181.0, 197.0]], ('Sumee', 0.764921247959137)], [[[49.0, 199.0], [247.0, 195.0], [247.0, 212.0], [49.0, 216.0]], ('Dwr1 TRDT 042308 Reg-ID REG-MAIN', 0.9418838024139404)], [[[171.0, 213.0], [293.0, 210.0], [293.0, 224.0], [171.0, 227.0]], ('Receipt #0000141267', 0.9612507224082947)], [[[58.0, 229.0], [149.0, 227.0], [149.0, 242.0], [58.0, 243.0]], ('O--W3I', 0.59166419506073)], [[[188.0, 228.0], [284.0, 225.0], [284.0, 239.0], [189.0, 241.0]], ('PRICE MEMO PLU', 0.9263469576835632)], [[[52.0, 245.0], [103.0, 245.0], [103.0, 259.0], [52.0, 259.0]], ('SUBMELT', 0.9906012415885925)], [[[96.0, 244.0], [175.0, 242.0], [175.0, 256.0], [96.0, 258.0]], ('fr1TD$', 0.932377815246582)], [[[195.0, 242.0], [296.0, 242.0], [296.0, 256.0], [195.0, 256.0]], ('5.00$5FTLNG10226', 0.9849205017089844)], [[[101.0, 272.0], [164.0, 272.0], [164.0, 286.0], [101.0, 286.0]], ('SUBTOTAL$', 0.9794003963470459)], [[[196.0, 271.0], [224.0, 271.0], [224.0, 287.0], [196.0, 287.0]], ('5.00', 0.9942144155502319)], [[[96.0, 288.0], [165.0, 288.0], [165.0, 302.0], [96.0, 302.0]], ('Sales Tx$', 0.9168838858604431)], [[[195.0, 287.0], [224.0, 287.0], [224.0, 302.0], [195.0, 302.0]], ('0.35', 0.9949798583984375)], [[[56.0, 318.0], [165.0, 318.0], [165.0, 332.0], [56.0, 332.0]], ('TAKE-OUT **TOTAL$', 0.968831479549408)], [[[197.0, 316.0], [225.0, 316.0], [225.0, 332.0], [197.0, 332.0]], ('5.35', 0.9948225021362305)], [[[57.0, 334.0], [82.0, 334.0], [82.0, 346.0], [57.0, 346.0]], ('Cash', 0.9968032240867615)], [[[103.0, 333.0], [166.0, 333.0], [166.0, 347.0], [103.0, 347.0]], ('AMT TEND$', 0.9503256678581238)], [[[196.0, 331.0], [225.0, 331.0], [225.0, 347.0], [196.0, 347.0]], ('6.00', 0.9901718497276306)], [[[99.0, 361.0], [165.0, 361.0], [165.0, 375.0], [99.0, 375.0]], ('CHANGE DUE$', 0.9473403692245483)], [[[197.0, 361.0], [226.0, 361.0], [226.0, 376.0], [197.0, 376.0]], ('0.65', 0.9929113388061523)], [[[58.0, 388.0], [236.0, 391.0], [236.0, 406.0], [58.0, 403.0]], ('Thank you for eating at your .', 0.9214866161346436)], [[[58.0, 401.0], [190.0, 405.0], [189.0, 421.0], [57.0, 417.0]], ('Paramus Park Subway...', 0.9075855612754822)]]	{"store_name": "SubwaySandwiches&Salads", "store_addr": "2070ParamusParkMall Paramus NJ07652", "telephone": "(201)225-9550", "date": "04/23/08", "time": "14:39:59", "subtotal": "$5.00", "tax": "$0.35", "total": "$5.35", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "SUBMELT", "item_value": "$5.00$5", "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	[[[[90.0, 17.0], [120.0, 17.0], [120.0, 31.0], [90.0, 31.0]], ('EL', 0.9984766840934753)], [[[119.0, 16.0], [252.0, 16.0], [252.0, 29.0], [119.0, 29.0]], ('LCHAMPINON', 0.9291579127311707)], [[[101.0, 33.0], [241.0, 33.0], [241.0, 46.0], [101.0, 46.0]], ('CAVA DE SAN MIGUEL17', 0.921192467212677)], [[[132.0, 48.0], [210.0, 48.0], [210.0, 62.0], [132.0, 62.0]], ('MADRID 28005', 0.961981475353241)], [[[103.0, 64.0], [240.0, 64.0], [240.0, 78.0], [103.0, 78.0]], ('TELEFONO:915 596 790', 0.9256251454353333)], [[[40.0, 127.0], [267.0, 127.0], [267.0, 141.0], [40.0, 141.0]], ('FACTURA SIMPLIFICADA:OOOO01-TB COMP', 0.9116448760032654)], [[[40.0, 142.0], [222.0, 142.0], [222.0, 155.0], [40.0, 155.0]], ('FECHA:07/11/2016 H0RA19:35', 0.92764812707901)], [[[38.0, 171.0], [73.0, 171.0], [73.0, 186.0], [38.0, 186.0]], ('UNID.', 0.9930046796798706)], [[[95.0, 172.0], [165.0, 172.0], [165.0, 186.0], [95.0, 186.0]], ('DESCRIPCION', 0.9967965483665466)], [[[256.0, 172.0], [303.0, 172.0], [303.0, 187.0], [256.0, 187.0]], ('IMPORTE', 0.9979600310325623)], [[[59.0, 203.0], [190.0, 203.0], [190.0, 217.0], [59.0, 217.0]], ('1 BOTELLA CERVEZA 1/3', 0.9455514550209045)], [[[275.0, 202.0], [304.0, 202.0], [304.0, 217.0], [275.0, 217.0]], ('2,80', 0.9299910068511963)], [[[58.0, 218.0], [129.0, 218.0], [129.0, 232.0], [58.0, 232.0]], ('1 CHAMPINON', 0.9438273906707764)], [[[276.0, 218.0], [304.0, 218.0], [304.0, 234.0], [276.0, 234.0]], ('6,20', 0.9505029916763306)], [[[62.0, 263.0], [91.0, 263.0], [91.0, 278.0], [62.0, 278.0]], ('BASE', 0.9976889491081238)], [[[179.0, 260.0], [217.0, 263.0], [216.0, 281.0], [178.0, 278.0]], ('%IVA', 0.8229490518569946)], [[[282.0, 261.0], [306.0, 264.0], [304.0, 281.0], [280.0, 278.0]], ('IVA', 0.9986371397972107)], [[[62.0, 278.0], [92.0, 278.0], [92.0, 293.0], [62.0, 293.0]], ('8,18', 0.8890906572341919)], [[[182.0, 278.0], [216.0, 278.0], [216.0, 293.0], [182.0, 293.0]], ('10,00', 0.9287821054458618)], [[[276.0, 279.0], [304.0, 279.0], [304.0, 295.0], [276.0, 295.0]], ('0,82', 0.9426690936088562)], [[[40.0, 309.0], [101.0, 309.0], [101.0, 323.0], [40.0, 323.0]], ('TOTAL', 0.9985426068305969)], [[[248.0, 307.0], [304.0, 310.0], [303.0, 327.0], [248.0, 324.0]], ('9,00', 0.9589625597000122)], [[[38.0, 340.0], [152.0, 340.0], [152.0, 353.0], [38.0, 353.0]], ('PENDIENTE DE COBRO', 0.9480356574058533)], [[[275.0, 341.0], [304.0, 341.0], [304.0, 357.0], [275.0, 357.0]], ('9,00', 0.9710254073143005)], [[[39.0, 371.0], [153.0, 371.0], [153.0, 385.0], [39.0, 385.0]], ('LE ATENDIO:FRANCIS', 0.951237678527832)], [[[121.0, 401.0], [228.0, 401.0], [228.0, 415.0], [121.0, 415.0]], ('ANGEL NIETO ANTON', 0.9691364169120789)], [[[118.0, 415.0], [228.0, 416.0], [228.0, 430.0], [118.0, 429.0]], ('C.I.F.3371900-P', 0.9649648666381836)], [[[107.0, 430.0], [239.0, 431.0], [239.0, 445.0], [107.0, 444.0]], ('GRACIAS POR SU VISITA', 0.9509334564208984)]]	{"store_name": "", "store_addr": "CAVADESANMIGUEL,17 MADRID28005", "telephone": "915596790", "date": "07/11/2016", "time": "19:35", "subtotal": "8,18", "tax": "0,82", "total": "9,00", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "BOTELLACERVEZA1/3", "item_value": "2,80", "item_quantity": "1"}, {"item_key": "", "item_name": "CHAMPINON", "item_value": "6,20", "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	[[[[30.0, 30.0], [158.0, 30.0], [158.0, 45.0], [30.0, 45.0]], ('12/17/20165:09PM', 0.9799725413322449)], [[[209.0, 31.0], [355.0, 33.0], [355.0, 48.0], [208.0, 46.0]], ('Sales Receipt #19204', 0.9289986491203308)], [[[28.0, 47.0], [104.0, 47.0], [104.0, 61.0], [28.0, 61.0]], ('Store CRP', 0.9369218349456787)], [[[264.0, 50.0], [357.0, 50.0], [357.0, 64.0], [264.0, 64.0]], ('Workstation:1', 0.9632098078727722)], [[[27.0, 72.0], [158.0, 72.0], [158.0, 100.0], [27.0, 100.0]], ('FIREARMS', 0.9954875707626343)], [[[220.0, 73.0], [351.0, 73.0], [351.0, 101.0], [220.0, 101.0]], ('UNKNOWN', 0.9833148717880249)], [[[117.0, 107.0], [271.0, 112.0], [270.0, 132.0], [116.0, 127.0]], ('Firearms Unknown', 0.9887486696243286)], [[[99.0, 128.0], [284.0, 129.0], [284.0, 146.0], [99.0, 145.0]], ('416 National City Blvd.Unit B', 0.9077292680740356)], [[[120.0, 148.0], [269.0, 148.0], [269.0, 162.0], [120.0, 162.0]], ('National City.CA 91950', 0.9297457337379456)], [[[145.0, 164.0], [244.0, 164.0], [244.0, 178.0], [145.0, 178.0]], ('619507-3174', 0.9869449734687805)], [[[88.0, 178.0], [299.0, 180.0], [299.0, 198.0], [88.0, 195.0]], ('Returns Accepted Within 14 Days', 0.9635981321334839)], [[[100.0, 197.0], [288.0, 199.0], [288.0, 213.0], [100.0, 212.0]], ('Store Credit Only No Refunds', 0.941411018371582)], [[[27.0, 214.0], [133.0, 215.0], [133.0, 230.0], [27.0, 229.0]], ('Cashier. Grover', 0.9486907124519348)], [[[27.0, 240.0], [103.0, 242.0], [103.0, 257.0], [27.0, 255.0]], ('Item Name', 0.9226741790771484)], [[[185.0, 242.0], [211.0, 242.0], [211.0, 258.0], [185.0, 258.0]], ('Qty', 0.8713486790657043)], [[[232.0, 242.0], [271.0, 242.0], [271.0, 256.0], [232.0, 256.0]], ('Price', 0.9961261749267578)], [[[279.0, 242.0], [340.0, 242.0], [340.0, 256.0], [279.0, 256.0]], ('Ext Price', 0.9196035861968994)], [[[28.0, 259.0], [157.0, 259.0], [157.0, 273.0], [28.0, 273.0]], ('ACE Skeleton Stock', 0.9653979539871216)], [[[202.0, 260.0], [223.0, 260.0], [223.0, 271.0], [202.0, 271.0]], ('1', 0.9485375285148621)], [[[220.0, 258.0], [269.0, 258.0], [269.0, 272.0], [220.0, 272.0]], ('6666$', 0.9411336779594421)], [[[296.0, 258.0], [357.0, 258.0], [357.0, 272.0], [296.0, 272.0]], ('$99.99 N', 0.9285180568695068)], [[[34.0, 276.0], [72.0, 276.0], [72.0, 291.0], [34.0, 291.0]], ('Black', 0.9955371022224426)], [[[117.0, 276.0], [147.0, 276.0], [147.0, 291.0], [117.0, 291.0]], ('Rifle', 0.8290462493896484)], [[[203.0, 276.0], [282.0, 276.0], [282.0, 290.0], [203.0, 290.0]], ('D%20.01%', 0.9911461472511292)], [[[228.0, 293.0], [282.0, 293.0], [282.0, 307.0], [228.0, 307.0]], ('Subtotal:', 0.9517242908477783)], [[[313.0, 293.0], [360.0, 293.0], [360.0, 307.0], [313.0, 307.0]], ('$99.99', 0.9968054890632629)], [[[68.0, 310.0], [169.0, 310.0], [169.0, 327.0], [68.0, 327.0]], ('Govt Theft AKA', 0.9201008081436157)], [[[230.0, 309.0], [285.0, 309.0], [285.0, 326.0], [230.0, 326.0]], ('9%Tax', 0.9675067067146301)], [[[310.0, 310.0], [361.0, 310.0], [361.0, 326.0], [310.0, 326.0]], ('006$+', 0.8575959205627441)], [[[171.0, 329.0], [286.0, 329.0], [286.0, 342.0], [171.0, 342.0]], ('RECEIPT TOTAL:', 0.954505443572998)], [[[305.0, 327.0], [361.0, 327.0], [361.0, 344.0], [305.0, 344.0]], ('$108.99', 0.9957222938537598)], [[[97.0, 358.0], [190.0, 354.0], [191.0, 372.0], [98.0, 375.0]], ('CashS108.99', 0.9472507238388062)], [[[140.0, 385.0], [278.0, 387.0], [278.0, 403.0], [140.0, 401.0]], ('Total Seles Discounts.', 0.9260608553886414)], [[[316.0, 388.0], [361.0, 388.0], [361.0, 403.0], [316.0, 403.0]], ('$25.01', 0.9921903610229492)], [[[108.0, 456.0], [285.0, 457.0], [285.0, 471.0], [108.0, 470.0]], ('Thanks for shopping with us!', 0.9501128196716309)], [[[175.0, 519.0], [217.0, 519.0], [217.0, 534.0], [175.0, 534.0]], ('19204', 0.9991592168807983)]]	{"store_name": "FIREARMS UNKNOWN FirearmsUnknown", "store_addr": "416NationalCityBlvd.UnitB NationalCity.CA91950", "telephone": "(619)507-3174", "date": "12/17/2016", "time": "5:09PM", "subtotal": "$99.99", "tax": "+$9.00", "total": "$108.99", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "ACESkeletonStock", "item_value": "$99.99", "item_quantity": "1"}, {"item_key": "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	[[[[33.0, 84.0], [216.0, 85.0], [216.0, 99.0], [33.0, 98.0]], ('JW MARRIOTT HOTEL BANGKOK', 0.924855649471283)], [[[12.0, 99.0], [245.0, 101.0], [245.0, 119.0], [12.0, 116.0]], ('4SUKHUMVIT RDKLONGTOEYBKK10110', 0.9407398700714111)], [[[30.0, 120.0], [228.0, 120.0], [228.0, 133.0], [30.0, 133.0]], ('XXBANGKOK BAKING COMPANY', 0.9140745997428894)], [[[17.0, 151.0], [108.0, 151.0], [108.0, 165.0], [17.0, 165.0]], ('519 Preeyanan', 0.9519783854484558)], [[[18.0, 182.0], [62.0, 182.0], [62.0, 196.0], [18.0, 196.0]], ('21/1', 0.9313758611679077)], [[[118.0, 183.0], [180.0, 181.0], [180.0, 195.0], [119.0, 197.0]], ('CHK5167', 0.9923496246337891)], [[[173.0, 180.0], [227.0, 182.0], [226.0, 196.0], [173.0, 194.0]], ('GST2', 0.924802303314209)], [[[80.0, 197.0], [177.0, 197.0], [177.0, 211.0], [80.0, 211.0]], ('10DEC16833', 0.9112227559089661)], [[[20.0, 213.0], [73.0, 213.0], [73.0, 224.0], [20.0, 224.0]], ('', 0.5190110206604004)], [[[72.0, 212.0], [171.0, 212.0], [171.0, 225.0], [72.0, 225.0]], ('REFRINT', 0.9801724553108215)], [[[180.0, 211.0], [236.0, 209.0], [236.0, 223.0], [180.0, 225.0]], ('*', 0.7961695194244385)], [[[44.0, 242.0], [208.0, 241.0], [209.0, 255.0], [45.0, 256.0]], ('Non Resident', 0.9721793532371521)], [[[31.0, 272.0], [103.0, 272.0], [103.0, 286.0], [31.0, 286.0]], ('20144.85', 0.9241607785224915)], [[[42.0, 288.0], [130.0, 288.0], [130.0, 302.0], [42.0, 302.0]], ('L.Chocolate', 0.917091429233551)], [[[176.0, 287.0], [220.0, 287.0], [220.0, 301.0], [176.0, 301.0]], ('289.70', 0.9864616990089417)], [[[30.0, 303.0], [130.0, 303.0], [130.0, 320.0], [30.0, 320.0]], ('13 Egg Omelet', 0.8477741479873657)], [[[177.0, 302.0], [221.0, 302.0], [221.0, 317.0], [177.0, 317.0]], ('233.64', 0.9907557964324951)], [[[30.0, 320.0], [109.0, 320.0], [109.0, 333.0], [30.0, 333.0]], ('1 Phad Thai', 0.7896080017089844)], [[[177.0, 318.0], [221.0, 318.0], [221.0, 332.0], [177.0, 332.0]], ('317.76', 0.9869365692138672)], [[[29.0, 334.0], [130.0, 337.0], [129.0, 351.0], [29.0, 348.0]], ('1Tiramisu Cup', 0.9086255431175232)], [[[177.0, 334.0], [222.0, 331.0], [223.0, 346.0], [177.0, 349.0]], ('130.84', 0.9916908740997314)], [[[43.0, 353.0], [102.0, 353.0], [102.0, 364.0], [43.0, 364.0]], ('Sub Food', 0.9210830330848694)], [[[177.0, 349.0], [221.0, 349.0], [221.0, 363.0], [177.0, 363.0]], ('971.94', 0.9703660607337952)], [[[24.0, 366.0], [118.0, 366.0], [118.0, 379.0], [24.0, 379.0]], ('971.94VAT7%', 0.9399412274360657)], [[[183.0, 364.0], [221.0, 361.0], [222.0, 376.0], [184.0, 379.0]], ('68.04', 0.9903600811958313)], [[[23.0, 382.0], [220.0, 379.0], [220.0, 393.0], [23.0, 396.0]], ('9:19TOTALDU13998', 0.9136108160018921)], [[[87.0, 412.0], [173.0, 412.0], [173.0, 426.0], [87.0, 426.0]], ('Branch 00003', 0.9625172019004822)]]	{"store_name": "JWMARRIOTTHOTELBANGKOK", "store_addr": "4SUKHUMVITRD,KLONGTOEY,BKK10110", "telephone": "", "date": "10DEC'16", "time": "9:19", "subtotal": "971.94", "tax": "68.04", "total": "1039.98", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "L.Chocolate", "item_value": "289.70", "item_quantity": "1"}, {"item_key": "", "item_name": "3EggOmelet", "item_value": "233.64", "item_quantity": "1"}, {"item_key": "", "item_name": "PhadThai", "item_value": "317.76", "item_quantity": "1"}, {"item_key": "", "item_name": "TiramisuCup", "item_value": "130.84", "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	[[[[85.0, 9.0], [162.0, 10.0], [162.0, 24.0], [85.0, 23.0]], ('MALAGA 29002', 0.9545031189918518)], [[[49.0, 21.0], [199.0, 23.0], [199.0, 40.0], [48.0, 37.0]], ('GRUPO EMPORIO CASIDI S.L', 0.9347330927848816)], [[[73.0, 38.0], [168.0, 38.0], [168.0, 51.0], [73.0, 51.0]], ('cif8-93311215', 0.9599616527557373)], [[[3.0, 79.0], [108.0, 79.0], [108.0, 93.0], [3.0, 93.0]], ('22/1un/2014 CA6', 0.903583288192749)], [[[121.0, 81.0], [175.0, 81.0], [175.0, 92.0], [121.0, 92.0]], ('21:48:59', 0.938717246055603)], [[[170.0, 80.0], [214.0, 80.0], [214.0, 94.0], [170.0, 94.0]], ('BH/', 0.8724941611289978)], [[[224.0, 79.0], [255.0, 79.0], [255.0, 94.0], [224.0, 94.0]], ('6918', 0.9940052032470703)], [[[1.0, 93.0], [67.0, 95.0], [67.0, 109.0], [1.0, 107.0]], ('Mesa:', 0.9747322201728821)], [[[89.0, 95.0], [108.0, 95.0], [108.0, 107.0], [89.0, 107.0]], ('5', 0.9989733695983887)], [[[119.0, 92.0], [207.0, 94.0], [206.0, 111.0], [118.0, 109.0]], ('Cubiertos:1', 0.9520255923271179)], [[[0.0, 120.0], [81.0, 123.0], [81.0, 140.0], [0.0, 137.0]], ('Cant.Plato', 0.9810470342636108)], [[[204.0, 124.0], [251.0, 124.0], [251.0, 138.0], [204.0, 138.0]], ('Importe', 0.9981164336204529)], [[[26.0, 152.0], [141.0, 152.0], [141.0, 166.0], [26.0, 166.0]], ('10CANA TINTO VERA', 0.9211137890815735)], [[[174.0, 152.0], [202.0, 152.0], [202.0, 167.0], [174.0, 167.0]], ('1,30', 0.9455748796463013)], [[[224.0, 153.0], [258.0, 153.0], [258.0, 167.0], [224.0, 167.0]], ('13.00', 0.9117488861083984)], [[[28.0, 168.0], [84.0, 168.0], [84.0, 182.0], [28.0, 182.0]], ('2 TAPA1', 0.925349771976471)], [[[193.0, 168.0], [259.0, 168.0], [259.0, 182.0], [193.0, 182.0]], ('Invitacion', 0.9930269122123718)], [[[26.0, 183.0], [85.0, 183.0], [85.0, 200.0], [26.0, 200.0]], ('2TAPA 2', 0.9413554072380066)], [[[193.0, 183.0], [260.0, 185.0], [260.0, 200.0], [193.0, 198.0]], ('Invitacion', 0.9812294840812683)], [[[26.0, 201.0], [84.0, 201.0], [84.0, 215.0], [26.0, 215.0]], ('2 TAPA 3', 0.8917748332023621)], [[[193.0, 197.0], [262.0, 199.0], [262.0, 216.0], [193.0, 213.0]], ('Invitacion', 0.9954787492752075)], [[[24.0, 216.0], [82.0, 216.0], [82.0, 232.0], [24.0, 232.0]], ('2 TAPA 4', 0.8892014622688293)], [[[194.0, 217.0], [262.0, 217.0], [262.0, 230.0], [194.0, 230.0]], ('Invitacion', 0.9918171763420105)], [[[23.0, 232.0], [83.0, 232.0], [83.0, 249.0], [23.0, 249.0]], ('2 TAPA 5', 0.8806028366088867)], [[[193.0, 231.0], [264.0, 231.0], [264.0, 248.0], [193.0, 248.0]], ('Invitacion', 0.9965007901191711)], [[[23.0, 250.0], [61.0, 250.0], [61.0, 265.0], [23.0, 265.0]], ('2 PAN', 0.903337299823761)], [[[172.0, 247.0], [265.0, 247.0], [265.0, 265.0], [172.0, 265.0]], ('0,501,00', 0.851117730140686)], [[[1.0, 302.0], [68.0, 302.0], [68.0, 319.0], [1.0, 319.0]], ('TOTAL', 0.9989506006240845)], [[[198.0, 300.0], [266.0, 300.0], [266.0, 317.0], [198.0, 317.0]], ('14,00', 0.9084469676017761)], [[[170.0, 336.0], [205.0, 336.0], [205.0, 347.0], [170.0, 347.0]], ('10.73', 0.9271144866943359)], [[[239.0, 334.0], [269.0, 334.0], [269.0, 347.0], [239.0, 347.0]], ('127', 0.9888877868652344)]]	{"store_name": "", "store_addr": "MALAGA29002", "telephone": "", "date": "22/Jun/2014", "time": "21:48:59", "subtotal": "14,00", "tax": "", "total": "", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "PAN", "item_value": "13,00", "item_quantity": "1"}, {"item_key": "", "item_name": "CANATINTOVERA", "item_value": "1,00", "item_quantity": "1"}, {"item_key": "Plato", "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	[[[[221.0, 50.0], [333.0, 47.0], [333.0, 61.0], [221.0, 64.0]], ('8/26/20175:31:03PM', 0.9611857533454895)], [[[173.0, 88.0], [294.0, 85.0], [294.0, 103.0], [173.0, 106.0]], ('SUPREME LA', 0.959399402141571)], [[[172.0, 111.0], [300.0, 108.0], [300.0, 122.0], [172.0, 125.0]], ('439N FAIRFAX AVENUE', 0.9243950247764587)], [[[170.0, 127.0], [301.0, 124.0], [301.0, 138.0], [170.0, 141.0]], ('LOS ANGELES.CA 90036', 0.8885279893875122)], [[[190.0, 142.0], [279.0, 140.0], [279.0, 154.0], [190.0, 156.0]], ('PH323.655.6205', 0.9430479407310486)], [[[189.0, 157.0], [281.0, 155.0], [281.0, 169.0], [189.0, 171.0]], ('FAX323.655.6206', 0.972338080406189)], [[[131.0, 185.0], [340.0, 181.0], [340.0, 195.0], [131.0, 199.0]], ('Dissent Is The Highe st Form Of Patriotism', 0.9127070903778076)], [[[163.0, 201.0], [306.0, 198.0], [306.0, 212.0], [163.0, 215.0]], ('www.supremenewyork.com', 0.9878349900245667)], [[[244.0, 214.0], [292.0, 214.0], [292.0, 225.0], [244.0, 225.0]], ('Recept #', 0.8991246223449707)], [[[323.0, 211.0], [358.0, 211.0], [358.0, 225.0], [323.0, 225.0]], ('13677', 0.9944416880607605)], [[[113.0, 228.0], [163.0, 228.0], [163.0, 242.0], [113.0, 242.0]], ('8/26/2017', 0.991321861743927)], [[[262.0, 226.0], [293.0, 226.0], [293.0, 237.0], [262.0, 237.0]], ('Store.', 0.9851182103157043)], [[[328.0, 223.0], [359.0, 222.0], [359.0, 234.0], [328.0, 235.0]], ('002A', 0.9497520923614502)], [[[111.0, 241.0], [165.0, 241.0], [165.0, 255.0], [111.0, 255.0]], ('Assoc.val', 0.9368690848350525)], [[[252.0, 237.0], [294.0, 237.0], [294.0, 251.0], [252.0, 251.0]], ('Cashier.', 0.9481674432754517)], [[[118.0, 297.0], [151.0, 297.0], [151.0, 311.0], [118.0, 311.0]], ('ITEM', 0.9893062710762024)], [[[216.0, 296.0], [239.0, 296.0], [239.0, 308.0], [216.0, 308.0]], ('QIY', 0.8114373683929443)], [[[254.0, 294.0], [288.0, 294.0], [288.0, 308.0], [254.0, 308.0]], ('PRICE', 0.9966242909431458)], [[[303.0, 292.0], [358.0, 294.0], [358.0, 308.0], [303.0, 306.0]], ('EXTPRICE', 0.9671121835708618)], [[[113.0, 316.0], [189.0, 313.0], [189.0, 327.0], [113.0, 330.0]], ('50201BLACK', 0.9854785203933716)], [[[255.0, 311.0], [288.0, 311.0], [288.0, 326.0], [255.0, 326.0]], ('48.00', 0.9818452596664429)], [[[329.0, 312.0], [362.0, 312.0], [362.0, 327.0], [329.0, 327.0]], ('48.00', 0.9871999621391296)], [[[105.0, 328.0], [188.0, 326.0], [188.0, 339.0], [105.0, 341.0]], ('SHOULDER BAG', 0.9525747895240784)], [[[223.0, 325.0], [241.0, 325.0], [241.0, 338.0], [223.0, 338.0]], ('OS', 0.6253718733787537)], [[[168.0, 347.0], [218.0, 347.0], [218.0, 361.0], [168.0, 361.0]], ('1Uns', 0.9386483430862427)], [[[239.0, 346.0], [285.0, 346.0], [285.0, 360.0], [239.0, 360.0]], ('Subtotal:', 0.9745838642120361)], [[[331.0, 345.0], [364.0, 345.0], [364.0, 359.0], [331.0, 359.0]], ('48.00', 0.954532265663147)], [[[216.0, 364.0], [287.0, 364.0], [287.0, 378.0], [216.0, 378.0]], ('9.250% Tax', 0.9267412424087524)], [[[337.0, 364.0], [365.0, 364.0], [365.0, 377.0], [337.0, 377.0]], ('4.44', 0.9463805556297302)], [[[194.0, 382.0], [288.0, 382.0], [288.0, 396.0], [194.0, 396.0]], ('RECEIPT TOTAL:', 0.9413617849349976)], [[[333.0, 381.0], [365.0, 381.0], [365.0, 396.0], [333.0, 396.0]], ('52.44', 0.99555903673172)], [[[259.0, 411.0], [290.0, 411.0], [290.0, 425.0], [259.0, 425.0]], ('Tend:', 0.9142922163009644)], [[[333.0, 411.0], [367.0, 411.0], [367.0, 425.0], [333.0, 425.0]], ('52.44', 0.9826505780220032)], [[[127.0, 429.0], [238.0, 427.0], [238.0, 441.0], [127.0, 443.0]], ('CrCard5244 VISA', 0.9193907380104065)], [[[134.0, 447.0], [213.0, 447.0], [213.0, 461.0], [134.0, 461.0]], ('Auth#013120', 0.962029218673706)], [[[230.0, 464.0], [261.0, 464.0], [261.0, 478.0], [230.0, 478.0]], ('0815', 0.9907119274139404)]]	{"store_name": "SUPREMELA", "store_addr": "LOSANGELES,CA90036 430NFAIRFAXAVENUE", "telephone": "3236556205", "date": "8/26/2017 8/26/2017", "time": "5:31:03PM", "subtotal": "48.00", "tax": "4.44", "total": "52.44 52.44", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "SHOULDERBAG", "item_value": "48.00", "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, 41.0], [288.0, 76.0], [279.0, 140.0], [18.0, 104.0]], ('Jneny', 0.6407991647720337)], [[[136.0, 231.0], [318.0, 234.0], [318.0, 255.0], [136.0, 252.0]], ('13 COINS REAURANT', 0.928242564201355)], [[[118.0, 255.0], [347.0, 258.0], [347.0, 279.0], [118.0, 275.0]], ('18000 Internationa1 B1vd', 0.9021286368370056)], [[[153.0, 279.0], [308.0, 281.0], [308.0, 302.0], [153.0, 300.0]], ('Seatac,W98188', 0.9361199736595154)], [[[172.0, 302.0], [289.0, 305.0], [288.0, 326.0], [171.0, 323.0]], ('206 243-9500', 0.9445810317993164)], [[[26.0, 345.0], [155.0, 349.0], [154.0, 370.0], [26.0, 367.0]], ('Server:KATIE', 0.9235846996307373)], [[[333.0, 351.0], [429.0, 351.0], [429.0, 372.0], [333.0, 372.0]], ('01/02/2018', 0.9969644546508789)], [[[26.0, 370.0], [78.0, 370.0], [78.0, 393.0], [26.0, 393.0]], ('307/1', 0.9790557026863098)], [[[359.0, 375.0], [428.0, 375.0], [428.0, 396.0], [359.0, 396.0]], ('5:34PM', 0.9306120276451111)], [[[24.0, 392.0], [117.0, 394.0], [116.0, 418.0], [24.0, 415.0]], ('Guests:0', 0.8452942967414856)], [[[377.0, 398.0], [429.0, 398.0], [429.0, 420.0], [377.0, 420.0]], ('20059', 0.999358057975769)], [[[25.0, 439.0], [180.0, 442.0], [179.0, 463.0], [25.0, 460.0]], ('Biscuits & Grayy', 0.9092290997505188)], [[[379.0, 441.0], [429.0, 444.0], [428.0, 466.0], [378.0, 464.0]], ('14.00', 0.9876275062561035)], [[[25.0, 463.0], [180.0, 465.0], [179.0, 486.0], [25.0, 484.0]], ('Coffee23.50', 0.9280357360839844)], [[[387.0, 467.0], [429.0, 467.0], [429.0, 489.0], [387.0, 489.0]], ('7.00', 0.9929567575454712)], [[[27.0, 489.0], [210.0, 489.0], [210.0, 508.0], [27.0, 508.0]], ('Vegetarian Omelette', 0.93621826171875)], [[[380.0, 490.0], [429.0, 490.0], [429.0, 512.0], [380.0, 512.0]], ('16.25', 0.9909717440605164)], [[[46.0, 512.0], [114.0, 512.0], [114.0, 530.0], [46.0, 530.0]], ('$Cheese', 0.9961575269699097)], [[[64.0, 535.0], [200.0, 535.0], [200.0, 555.0], [64.0, 555.0]], ('Cheddar Cheese', 0.9719192385673523)], [[[24.0, 584.0], [188.0, 580.0], [189.0, 601.0], [24.0, 604.0]], ('Complete Subotal', 0.950116753578186)], [[[377.0, 583.0], [429.0, 583.0], [429.0, 606.0], [377.0, 606.0]], ('37.25', 0.989963173866272)], [[[20.0, 630.0], [102.0, 627.0], [103.0, 650.0], [21.0, 654.0]], ('Subtotal', 0.9842869639396667)], [[[377.0, 628.0], [428.0, 630.0], [427.0, 652.0], [376.0, 649.0]], ('37.25', 0.990714430809021)], [[[21.0, 656.0], [130.0, 652.0], [131.0, 675.0], [21.0, 678.0]], ('Living Wage', 0.9644407629966736)], [[[384.0, 651.0], [428.0, 654.0], [427.0, 676.0], [383.0, 673.0]], ('1.12', 0.9956824779510498)], [[[19.0, 680.0], [55.0, 680.0], [55.0, 703.0], [19.0, 703.0]], ('Tax', 0.9961929321289062)], [[[385.0, 674.0], [429.0, 677.0], [428.0, 699.0], [384.0, 697.0]], ('3.84', 0.992676317691803)], [[[17.0, 725.0], [70.0, 722.0], [71.0, 748.0], [18.0, 751.0]], ('Total', 0.9531846046447754)], [[[377.0, 723.0], [427.0, 723.0], [427.0, 745.0], [377.0, 745.0]], ('42.21', 0.9890052676200867)], [[[19.0, 771.0], [232.0, 768.0], [233.0, 792.0], [19.0, 795.0]], ('Balance Due', 0.9114359021186829)], [[[329.0, 770.0], [424.0, 770.0], [424.0, 794.0], [329.0, 794.0]], ('42.21', 0.9873355627059937)], [[[119.0, 818.0], [326.0, 818.0], [326.0, 839.0], [119.0, 839.0]], ('Stop in foHappy Hour', 0.9403023719787598)]]	{"store_name": "", "store_addr": "18000InternationalBlvd Seatac,WA98188", "telephone": "206243-9500", "date": "01/02/2018", "time": "5:34PM", "subtotal": "37.25 37.25", "tax": "3.84", "total": "42.21 42.21", "ignore": " ", "tips": "1.12", "line_items": [{"item_key": "", "item_name": "Biscuits&Gravy", "item_value": "14.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Coffee", "item_value": "7.00", "item_quantity": "1"}, {"item_key": "", "item_name": "VegetarianOmelette", "item_value": "16.25", "item_quantity": "1"}, {"item_key": "", "item_name": "$Cheese", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "CheddarCheese", "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, 31.0], [259.0, 28.0], [259.0, 50.0], [78.0, 54.0]], ('DINE-IN Table35', 0.9519826769828796)], [[[38.0, 70.0], [83.0, 70.0], [83.0, 85.0], [38.0, 85.0]], ('CASHIER', 0.9976630210876465)], [[[104.0, 70.0], [164.0, 70.0], [164.0, 84.0], [104.0, 84.0]], ('Guest#2', 0.9770641326904297)], [[[157.0, 68.0], [211.0, 68.0], [211.0, 85.0], [157.0, 85.0]], ('21', 0.9888337850570679)], [[[36.0, 104.0], [130.0, 104.0], [130.0, 118.0], [36.0, 118.0]], ('1 SEVILEN SYRAH', 0.9414064884185791)], [[[252.0, 103.0], [287.0, 103.0], [287.0, 118.0], [252.0, 118.0]], ('12.00', 0.9595226049423218)], [[[35.0, 121.0], [82.0, 121.0], [82.0, 135.0], [35.0, 135.0]], ('1 AYRAN', 0.9335771203041077)], [[[256.0, 121.0], [287.0, 121.0], [287.0, 135.0], [256.0, 135.0]], ('3.00', 0.9976785182952881)], [[[34.0, 136.0], [75.0, 136.0], [75.0, 151.0], [34.0, 151.0]], ('1 EZME', 0.8953611850738525)], [[[257.0, 137.0], [286.0, 137.0], [286.0, 152.0], [257.0, 152.0]], ('9.00', 0.9978258609771729)], [[[33.0, 152.0], [159.0, 153.0], [159.0, 168.0], [33.0, 167.0]], ('1 SARMA BEYTI KEBABI', 0.9410704374313354)], [[[251.0, 154.0], [286.0, 154.0], [286.0, 169.0], [251.0, 169.0]], ('20.00', 0.9978381991386414)], [[[33.0, 169.0], [113.0, 169.0], [113.0, 186.0], [33.0, 186.0]], ('1 KARNIYARIK', 0.9549839496612549)], [[[252.0, 171.0], [287.0, 171.0], [287.0, 186.0], [252.0, 186.0]], ('18.00', 0.9961544275283813)], [[[32.0, 185.0], [86.0, 185.0], [86.0, 202.0], [32.0, 202.0]], ('1KUNEFE', 0.91871577501297)], [[[252.0, 188.0], [287.0, 188.0], [287.0, 203.0], [252.0, 203.0]], ('10.00', 0.9976938366889954)], [[[67.0, 218.0], [128.0, 218.0], [128.0, 234.0], [67.0, 234.0]], ('SUBTOTAL:', 0.9816659092903137)], [[[251.0, 219.0], [288.0, 219.0], [288.0, 237.0], [251.0, 237.0]], ('72.00', 0.9941142201423645)], [[[66.0, 233.0], [105.0, 236.0], [104.0, 253.0], [65.0, 251.0]], ('TAX:', 0.8776684403419495)], [[[257.0, 237.0], [288.0, 237.0], [288.0, 253.0], [257.0, 253.0]], ('6.84', 0.9934312105178833)], [[[102.0, 273.0], [231.0, 275.0], [231.0, 299.0], [102.0, 296.0]], ('TOTAL78.84', 0.9925258755683899)], [[[82.0, 334.0], [249.0, 334.0], [249.0, 347.0], [82.0, 347.0]], ('Sun Nov 09 2014 06:29PM', 0.8691810965538025)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "SunNov092014", "time": "06:29PM", "subtotal": "72.00", "tax": "6.84", "total": "78.84", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "KUNEFE", "item_value": "12.00", "item_quantity": "1"}, {"item_key": "", "item_name": "KARNIYARIK", "item_value": "3.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SARMABEYTIKEBABI", "item_value": "9.00", "item_quantity": "1"}, {"item_key": "", "item_name": "EZME", "item_value": "20.00", "item_quantity": "1"}, {"item_key": "", "item_name": "AYRAN", "item_value": "18.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SEVILENSYRAH", "item_value": "10.00", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[112.0, 8.0], [224.0, 5.0], [225.0, 22.0], [113.0, 25.0]], ('Orlando,FL 32819', 0.9083800315856934)], [[[44.0, 37.0], [85.0, 37.0], [85.0, 51.0], [44.0, 51.0]], ('120864', 0.9977250099182129)], [[[208.0, 34.0], [301.0, 34.0], [301.0, 51.0], [208.0, 51.0]], ('Check #74731', 0.9669093489646912)], [[[42.0, 49.0], [158.0, 49.0], [158.0, 66.0], [42.0, 66.0]], ('Table 204', 0.9010649919509888)], [[[42.0, 67.0], [107.0, 67.0], [107.0, 78.0], [42.0, 78.0]], ('Jonathan C', 0.9579364061355591)], [[[39.0, 80.0], [250.0, 80.0], [250.0, 94.0], [39.0, 94.0]], ('3 0ct 2014 04:35:35 PM GMT-05:00', 0.8926254510879517)], [[[268.0, 79.0], [304.0, 79.0], [304.0, 94.0], [268.0, 94.0]], ('Gst 2', 0.9027853012084961)], [[[48.0, 105.0], [185.0, 110.0], [184.0, 127.0], [48.0, 122.0]], ('1 $2 Sauza Blue Marg', 0.9146956205368042)], [[[273.0, 110.0], [305.0, 107.0], [306.0, 122.0], [274.0, 125.0]], ('2.00', 0.9964849948883057)], [[[46.0, 120.0], [185.0, 125.0], [184.0, 142.0], [46.0, 137.0]], ('1 $2 Sauza Blue Marg', 0.9268746376037598)], [[[276.0, 125.0], [307.0, 125.0], [307.0, 142.0], [276.0, 142.0]], ('2.00', 0.997999906539917)], [[[44.0, 137.0], [231.0, 140.0], [230.0, 157.0], [44.0, 154.0]], ('1 Roasted Tomato Porto Brie', 0.945610523223877)], [[[277.0, 141.0], [306.0, 141.0], [306.0, 156.0], [277.0, 156.0]], ('4.29', 0.9939789772033691)], [[[44.0, 154.0], [96.0, 154.0], [96.0, 168.0], [44.0, 168.0]], ('1Chili', 0.8897231221199036)], [[[277.0, 157.0], [307.0, 157.0], [307.0, 172.0], [277.0, 172.0]], ('4.99', 0.9985454082489014)], [[[41.0, 167.0], [156.0, 170.0], [155.0, 187.0], [40.0, 184.0]], ('1 Pint Bud Light', 0.9470270276069641)], [[[276.0, 172.0], [309.0, 172.0], [309.0, 190.0], [276.0, 190.0]], ('2.00', 0.99442458152771)], [[[40.0, 183.0], [155.0, 186.0], [154.0, 203.0], [39.0, 200.0]], ('1 Pint Bud Light', 0.9560419321060181)], [[[276.0, 188.0], [310.0, 188.0], [310.0, 206.0], [276.0, 206.0]], ('2.00', 0.9944721460342407)], [[[39.0, 201.0], [118.0, 203.0], [118.0, 217.0], [38.0, 215.0]], ('1 Jambalaya', 0.9461166858673096)], [[[273.0, 206.0], [310.0, 206.0], [310.0, 221.0], [273.0, 221.0]], ('11.99', 0.9841455221176147)], [[[36.0, 216.0], [140.0, 218.0], [140.0, 235.0], [35.0, 233.0]], ('1 Basket Fries', 0.9546311497688293)], [[[277.0, 221.0], [311.0, 221.0], [311.0, 239.0], [277.0, 239.0]], ('3.89', 0.9967253804206848)], [[[34.0, 233.0], [183.0, 236.0], [182.0, 253.0], [33.0, 250.0]], ('1 Sea Scallops Fried', 0.9116743803024292)], [[[274.0, 238.0], [313.0, 238.0], [313.0, 256.0], [274.0, 256.0]], ('14.49', 0.9950376749038696)], [[[32.0, 250.0], [153.0, 252.0], [152.0, 269.0], [32.0, 267.0]], ('1 Pint Bud Light', 0.960078239440918)], [[[279.0, 255.0], [314.0, 255.0], [314.0, 273.0], [279.0, 273.0]], ('2.00', 0.9950284361839294)], [[[30.0, 268.0], [152.0, 270.0], [152.0, 287.0], [30.0, 285.0]], ('1 Pint Bud Light', 0.9544881582260132)], [[[281.0, 273.0], [315.0, 273.0], [315.0, 291.0], [281.0, 291.0]], ('2.00', 0.9966518878936768)], [[[28.0, 286.0], [151.0, 289.0], [150.0, 307.0], [28.0, 303.0]], ('1 Pint Bud Light', 0.9552373886108398)], [[[282.0, 291.0], [317.0, 291.0], [317.0, 309.0], [282.0, 309.0]], ('2.00', 0.9976673722267151)], [[[25.0, 305.0], [150.0, 307.0], [150.0, 325.0], [25.0, 322.0]], ('1 Pint Bud Light', 0.9561314582824707)], [[[283.0, 310.0], [318.0, 310.0], [318.0, 328.0], [283.0, 328.0]], ('2.00', 0.9965876936912537)], [[[24.0, 324.0], [181.0, 328.0], [180.0, 346.0], [24.0, 342.0]], ('1 $2 Sauza Blue Marg', 0.913243293762207)], [[[285.0, 329.0], [320.0, 329.0], [320.0, 349.0], [285.0, 349.0]], ('2.00', 0.9954687356948853)], [[[22.0, 344.0], [181.0, 348.0], [180.0, 366.0], [22.0, 363.0]], ('1$2 Sauza B1ue Marg', 0.9347917437553406)], [[[286.0, 350.0], [322.0, 350.0], [322.0, 369.0], [286.0, 369.0]], ('2.00', 0.9983292818069458)], [[[19.0, 365.0], [150.0, 367.0], [150.0, 387.0], [19.0, 385.0]], ('1 Pint Bud Light', 0.9567840099334717)], [[[286.0, 369.0], [325.0, 369.0], [325.0, 391.0], [286.0, 391.0]], ('2.00', 0.9962190985679626)], [[[0.0, 425.0], [198.0, 429.0], [198.0, 449.0], [0.0, 446.0]], ('ID#0502767', 0.9941638112068176)], [[[208.0, 433.0], [272.0, 433.0], [272.0, 447.0], [208.0, 447.0]], ('4731', 0.9980821013450623)]]	{"store_name": "", "store_addr": "Orlando,FL32819", "telephone": "", "date": "3Oct2014", "time": "04:35:35PM", "subtotal": "", "tax": "", "total": "", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "$2SauzaBlueMarg", "item_value": "2.00", "item_quantity": "1"}, {"item_key": "", "item_name": "$2SauzaBlueMarg", "item_value": "2.00", "item_quantity": "1"}, {"item_key": "", "item_name": "RoastedTomatoPortoBrie", "item_value": "4.29", "item_quantity": "1"}, {"item_key": "", "item_name": "Chili", "item_value": "4.99", "item_quantity": "1"}, {"item_key": "", "item_name": "PintBudLight", "item_value": "2.00", "item_quantity": "1"}, {"item_key": "", "item_name": "PintBudLight", "item_value": "2.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Jambalaya", "item_value": "11.99", "item_quantity": "1"}, {"item_key": "", "item_name": "BasketFries", "item_value": "3.89", "item_quantity": "1"}, {"item_key": "", "item_name": "SeaScallopsFried", "item_value": "14.49", "item_quantity": "1"}, {"item_key": "", "item_name": "PintBudLight", "item_value": "2.00", "item_quantity": "1"}, {"item_key": "", "item_name": "PintBudLight", "item_value": "2.00", "item_quantity": "1"}, {"item_key": "", "item_name": "PintBudLight", "item_value": "2.00", "item_quantity": "1"}, {"item_key": "", "item_name": "PintBudLight", "item_value": "2.00", "item_quantity": "1"}, {"item_key": "", "item_name": "$2SauzaBlueMarg", "item_value": "2.00", "item_quantity": "1"}, {"item_key": "", "item_name": "$2SauzaBlueMarg", "item_value": "2.00", "item_quantity": "1"}, {"item_key": "", "item_name": "PintBudLight", "item_value": "2.00", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[113.0, 13.0], [311.0, 12.0], [311.0, 26.0], [113.0, 27.0]], ('EstE ncuet tenbtn R nceentrs', 0.5638176798820496)], [[[113.0, 25.0], [320.0, 23.0], [321.0, 36.0], [113.0, 38.0]], (' cernn n ieins Celintsrnet', 0.5249930620193481)], [[[115.0, 46.0], [167.0, 46.0], [167.0, 57.0], [115.0, 57.0]], ('BOASONA', 0.5135002136230469)], [[[114.0, 90.0], [345.0, 85.0], [346.0, 120.0], [115.0, 124.0]], ('WAL*MART', 0.9077248573303223)], [[[127.0, 138.0], [334.0, 133.0], [335.0, 153.0], [128.0, 158.0]], ('Save money.Live better.', 0.9678992629051208)], [[[189.0, 169.0], [255.0, 167.0], [256.0, 182.0], [189.0, 184.0]], ('SOPERCENTER', 0.91118985414505)], [[[184.0, 182.0], [259.0, 179.0], [260.0, 193.0], [184.0, 196.0]], ('SHAOMZ K340', 0.5018882751464844)], [[[164.0, 192.0], [287.0, 190.0], [287.0, 204.0], [164.0, 206.0]], ('MAMRBER DRRIM ANDERSGH', 0.7534559369087219)], [[[173.0, 203.0], [276.0, 201.0], [276.0, 214.0], [173.0, 217.0]], ('7015429086', 0.8873542547225952)], [[[122.0, 214.0], [330.0, 211.0], [330.0, 224.0], [122.0, 228.0]], ('T38750P00000329TE1TRN3395', 0.8451196551322937)], [[[122.0, 226.0], [185.0, 223.0], [185.0, 237.0], [123.0, 240.0]], ('FORM PLATES', 0.7822345495223999)], [[[190.0, 224.0], [260.0, 221.0], [260.0, 235.0], [190.0, 238.0]], ('001370008150', 0.9693116545677185)], [[[295.0, 223.0], [331.0, 223.0], [331.0, 236.0], [295.0, 236.0]], ('3.97', 0.7069418430328369)], [[[122.0, 235.0], [180.0, 235.0], [180.0, 249.0], [122.0, 249.0]], ('834823', 0.5200825333595276)], [[[191.0, 234.0], [272.0, 231.0], [272.0, 246.0], [191.0, 248.0]], ('085200020871F', 0.8897791504859924)], [[[295.0, 232.0], [332.0, 232.0], [332.0, 246.0], [295.0, 246.0]], ('4.311', 0.6196016073226929)], [[[123.0, 247.0], [167.0, 247.0], [167.0, 258.0], [123.0, 258.0]], ('RATORADE', 0.9132757186889648)], [[[191.0, 245.0], [271.0, 243.0], [271.0, 256.0], [191.0, 258.0]], ('005200033582F', 0.9619379639625549)], [[[294.0, 242.0], [325.0, 242.0], [325.0, 257.0], [294.0, 257.0]], ('1.31', 0.7433119416236877)], [[[219.0, 256.0], [264.0, 256.0], [264.0, 267.0], [219.0, 267.0]], ('SUBTOTAL', 0.9656112194061279)], [[[291.0, 253.0], [322.0, 253.0], [322.0, 269.0], [291.0, 269.0]], ('10.33', 0.9142206311225891)], [[[171.0, 266.0], [202.0, 266.0], [202.0, 280.0], [171.0, 280.0]], ('TAX1', 0.5842551589012146)], [[[213.0, 267.0], [257.0, 267.0], [257.0, 278.0], [213.0, 278.0]], ('6.500', 0.8873772621154785)], [[[293.0, 265.0], [320.0, 262.0], [322.0, 278.0], [294.0, 281.0]], ('0.71', 0.7941550612449646)], [[[235.0, 277.0], [264.0, 277.0], [264.0, 288.0], [235.0, 288.0]], ('TOTAL', 0.9631247520446777)], [[[208.0, 287.0], [266.0, 287.0], [266.0, 301.0], [208.0, 301.0]], ('VISR TENO', 0.8709261417388916)], [[[291.0, 286.0], [322.0, 286.0], [322.0, 300.0], [291.0, 300.0]], ('11.84', 0.8965412378311157)], [[[122.0, 309.0], [195.0, 309.0], [195.0, 323.0], [122.0, 323.0]], ('ACCOUNT R6201', 0.8337662220001221)], [[[122.0, 331.0], [265.0, 331.0], [265.0, 344.0], [122.0, 344.0]], ('TRANS 10 -0008041724829556', 0.911611795425415)], [[[208.0, 362.0], [267.0, 362.0], [267.0, 376.0], [208.0, 376.0]], ('CHANGE DUE', 0.8428969383239746)], [[[296.0, 362.0], [324.0, 362.0], [324.0, 377.0], [296.0, 377.0]], ('0.00', 0.893760085105896)], [[[144.0, 382.0], [298.0, 384.0], [298.0, 403.0], [144.0, 402.0]], ('ITENS SOLD3', 0.9157106876373291)], [[[145.0, 407.0], [299.0, 409.0], [299.0, 423.0], [145.0, 421.0]], ('TCH1660670302810536269', 0.760480523109436)], [[[155.0, 493.0], [299.0, 495.0], [299.0, 509.0], [155.0, 507.0]], ('B y isctrse Coday?', 0.5429213047027588)], [[[168.0, 516.0], [215.0, 516.0], [215.0, 527.0], [168.0, 527.0]], ('02/10/08', 0.8426761627197266)], [[[173.0, 534.0], [277.0, 534.0], [277.0, 548.0], [173.0, 548.0]], ('SHACUSTONER COPEONEO', 0.693109393119812)]]	{"store_name": "WAL\u2605MART", "store_addr": "", "telephone": "", "date": "", "time": "", "subtotal": "", "tax": "", "total": "11.54", "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	[[[[92.0, 4.0], [255.0, 6.0], [255.0, 34.0], [92.0, 32.0]], ('ATLACATL', 0.9931515455245972)], [[[115.0, 34.0], [234.0, 34.0], [234.0, 47.0], [115.0, 47.0]], ('RESTAURANT', 0.9960271716117859)], [[[135.0, 49.0], [215.0, 48.0], [216.0, 62.0], [136.0, 63.0]], ('SAIN ADOREAN', 0.8852632641792297)], [[[160.0, 60.0], [193.0, 60.0], [193.0, 71.0], [160.0, 71.0]], ('FOOD', 0.8400179147720337)], [[[132.0, 81.0], [208.0, 77.0], [209.0, 91.0], [133.0, 95.0]], ('301N.BERENCO ST', 0.7654473781585693)], [[[125.0, 91.0], [213.0, 87.0], [214.0, 101.0], [126.0, 105.0]], ('LOS ANGELESCA 90004', 0.9101471900939941)], [[[142.0, 101.0], [203.0, 99.0], [204.0, 112.0], [143.0, 114.0]], ('323663-1404', 0.9439277052879333)], [[[91.0, 112.0], [114.0, 112.0], [114.0, 124.0], [91.0, 124.0]], ('DATE', 0.9933130741119385)], [[[151.0, 111.0], [195.0, 111.0], [195.0, 122.0], [151.0, 122.0]], ('06/10/2014', 0.9675521850585938)], [[[240.0, 105.0], [256.0, 105.0], [256.0, 117.0], [240.0, 117.0]], ('TUE', 0.9017475247383118)], [[[91.0, 124.0], [143.0, 120.0], [144.0, 131.0], [91.0, 135.0]], ('RECALL.', 0.9448619484901428)], [[[139.0, 122.0], [190.0, 122.0], [190.0, 131.0], [139.0, 131.0]], ('TABLE', 0.991858184337616)], [[[219.0, 117.0], [256.0, 113.0], [258.0, 127.0], [220.0, 131.0]], ('#258', 0.9979201555252075)], [[[112.0, 132.0], [192.0, 128.0], [193.0, 142.0], [112.0, 146.0]], ('PUPLSA DE QUESO T1', 0.8375236988067627)], [[[115.0, 143.0], [136.0, 143.0], [136.0, 154.0], [115.0, 154.0]], ('2X', 0.8495571613311768)], [[[172.0, 140.0], [200.0, 143.0], [199.0, 155.0], [171.0, 152.0]], ('2.60', 0.9689322710037231)], [[[114.0, 152.0], [199.0, 152.0], [199.0, 165.0], [114.0, 165.0]], ('PUPLSAFRI/QUESO 11', 0.8571984767913818)], [[[233.0, 149.0], [260.0, 146.0], [261.0, 161.0], [234.0, 164.0]], ('$5.20', 0.9841219782829285)], [[[115.0, 164.0], [133.0, 164.0], [133.0, 176.0], [115.0, 176.0]], ('3X', 0.8743075132369995)], [[[115.0, 173.0], [195.0, 173.0], [195.0, 187.0], [115.0, 187.0]], ('PUPLSA DE QUESO T1', 0.8828239440917969)], [[[173.0, 164.0], [201.0, 164.0], [201.0, 175.0], [173.0, 175.0]], ('2.55', 0.9922930598258972)], [[[235.0, 170.0], [262.0, 170.0], [262.0, 185.0], [235.0, 185.0]], ('$7.65', 0.9800958633422852)], [[[115.0, 186.0], [166.0, 186.0], [166.0, 197.0], [115.0, 197.0]], ('PARA LLEVAR', 0.9537538290023804)], [[[239.0, 182.0], [263.0, 182.0], [263.0, 197.0], [239.0, 197.0]], ('000', 0.8917045593261719)], [[[115.0, 198.0], [236.0, 195.0], [236.0, 208.0], [115.0, 211.0]], ('EDWIN 4432269', 0.942546546459198)], [[[115.0, 221.0], [154.0, 221.0], [154.0, 235.0], [115.0, 235.0]], ('TAX1AMT', 0.9685124158859253)], [[[238.0, 219.0], [265.0, 216.0], [266.0, 231.0], [239.0, 234.0]], ('$1.39', 0.9837218523025513)], [[[116.0, 233.0], [161.0, 233.0], [161.0, 247.0], [116.0, 247.0]], ('TOTAL', 0.998498797416687)], [[[209.0, 232.0], [266.0, 229.0], [266.0, 243.0], [210.0, 245.0]], ('$16.79', 0.9379706382751465)], [[[114.0, 246.0], [168.0, 244.0], [168.0, 258.0], [115.0, 260.0]], ('STOFE TABLE', 0.9161428213119507)], [[[236.0, 243.0], [267.0, 241.0], [268.0, 255.0], [237.0, 257.0]], ('$16.79', 0.9814884066581726)], [[[113.0, 258.0], [237.0, 254.0], [237.0, 268.0], [114.0, 272.0]], ('0RDER#0162*', 0.8344266414642334)], [[[88.0, 272.0], [269.0, 266.0], [269.0, 280.0], [88.0, 286.0]], ('NO.083544 REG 02 PARA LLEVAR TIME 11:48', 0.9027828574180603)], [[[146.0, 284.0], [213.0, 281.0], [214.0, 294.0], [147.0, 298.0]], ('MUCHAS GRACIAS', 0.9608426094055176)], [[[108.0, 299.0], [254.0, 293.0], [254.0, 307.0], [108.0, 313.0]], ('15X ACDED TO GROUPS OF 8 OR MORE', 0.8759807348251343)], [[[127.0, 312.0], [232.0, 307.0], [233.0, 321.0], [128.0, 325.0]], ('FLEASE PAY YOUR SERVER', 0.9353038668632507)]]	{"store_name": "ATLACATL RESTAURANT", "store_addr": "", "telephone": "(323)663-1404", "date": "06/10/2014", "time": "11:48", "subtotal": "", "tax": "$1.39", "total": "$16.79 $16.79", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "PUPUSADEQUESOT1", "item_value": "$2.55", "item_quantity": "1"}, {"item_key": "", "item_name": "PUPUSAFRI/QUESOT1", "item_value": "$5.20", "item_quantity": "1"}, {"item_key": "", "item_name": "PUPUSADEQUESOT1", "item_value": "$7.65", "item_quantity": "1"}, {"item_key": "", "item_name": "PARALLEVAR", "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	[[[[194.0, 119.0], [540.0, 148.0], [533.0, 232.0], [187.0, 203.0]], ('Foodtown', 0.9981858730316162)], [[[297.0, 281.0], [462.0, 290.0], [461.0, 311.0], [296.0, 302.0]], ('6431 STIRLING ROAD', 0.9474412202835083)], [[[316.0, 304.0], [448.0, 311.0], [447.0, 333.0], [315.0, 326.0]], ('DAVIE,FL33314', 0.9573709964752197)], [[[295.0, 326.0], [467.0, 336.0], [466.0, 358.0], [293.0, 348.0]], ('Te1954797-7790', 0.9770881533622742)], [[[183.0, 361.0], [542.0, 384.0], [540.0, 408.0], [181.0, 385.0]], ('#001-007 11/28/2015 19:0103 Q1uHua1 Ru', 0.8850687742233276)], [[[181.0, 386.0], [411.0, 402.0], [410.0, 422.0], [180.0, 407.0]], ('1nv#00208456Trs#208543', 0.9305169582366943)], [[[178.0, 431.0], [428.0, 446.0], [427.0, 467.0], [177.0, 452.0]], ('OZH VEGGIE FISH BALL PER LB', 0.8972330689430237)], [[[177.0, 454.0], [390.0, 466.0], [389.0, 487.0], [176.0, 475.0]], ('GREEN THAI CHILI PER LB', 0.9130573868751526)], [[[449.0, 447.0], [520.0, 449.0], [519.0, 471.0], [449.0, 469.0]], ('$3.94F', 0.917249858379364)], [[[175.0, 476.0], [388.0, 489.0], [386.0, 510.0], [174.0, 496.0]], ('RED POTATOES 5 LBS BAG', 0.8547460436820984)], [[[450.0, 468.0], [520.0, 472.0], [519.0, 495.0], [448.0, 491.0]], ('$2.70F', 0.8477110862731934)], [[[176.0, 499.0], [352.0, 509.0], [350.0, 530.0], [175.0, 519.0]], ('1.561b000.99/1b', 0.8858277797698975)], [[[448.0, 490.0], [518.0, 494.0], [517.0, 517.0], [446.0, 513.0]], ('$2.29F', 0.9404820799827576)], [[[174.0, 522.0], [351.0, 531.0], [349.0, 551.0], [173.0, 542.0]], ('WHITE ONIONS PER L8', 0.8748154044151306)], [[[173.0, 543.0], [433.0, 557.0], [432.0, 577.0], [172.0, 564.0]], ('CHIFLES CASSAVAREGULAR 120', 0.9367969036102295)], [[[445.0, 535.0], [516.0, 539.0], [515.0, 562.0], [444.0, 558.0]], ('$1.54F', 0.8999857306480408)], [[[173.0, 566.0], [401.0, 577.0], [400.0, 598.0], [172.0, 587.0]], ("JANIE'S FRUIT SLICES 6 OZ", 0.8861982226371765)], [[[443.0, 558.0], [514.0, 563.0], [512.0, 585.0], [441.0, 580.0]], ('$3.59F', 0.9408908486366272)], [[[171.0, 588.0], [430.0, 601.0], [429.0, 623.0], [169.0, 610.0]], ('ZIYAD FRUIT MARSHMALLOWS FLV', 0.9269325137138367)], [[[443.0, 581.0], [529.0, 586.0], [528.0, 608.0], [442.0, 603.0]], ('$0.99T1F', 0.9357618093490601)], [[[169.0, 611.0], [427.0, 624.0], [426.0, 645.0], [168.0, 632.0]], ('ESFREBOM RUBBER GLOVES ILARG', 0.9012063145637512)], [[[441.0, 604.0], [512.0, 608.0], [511.0, 630.0], [440.0, 626.0]], ('$1.49F', 0.9223310947418213)], [[[167.0, 633.0], [429.0, 646.0], [428.0, 668.0], [166.0, 655.0]], ('ZIYAD BAKING DATES PITTED 13', 0.8955236077308655)], [[[441.0, 628.0], [516.0, 633.0], [515.0, 651.0], [440.0, 647.0]], ('$2.69T1', 0.850530207157135)], [[[164.0, 653.0], [510.0, 673.0], [508.0, 698.0], [163.0, 678.0]], ('MAMA INST FLAT NOODLES CLEAR $O.49F', 0.8778085708618164)], [[[436.0, 649.0], [511.0, 654.0], [509.0, 675.0], [435.0, 670.0]], ('1.99F', 0.8886240124702454)], [[[165.0, 682.0], [278.0, 684.0], [278.0, 703.0], [164.0, 701.0]], ('13/00.99', 0.9395025968551636)], [[[162.0, 700.0], [415.0, 711.0], [414.0, 736.0], [161.0, 725.0]], ('MAMAINST CHAND NOODLE 1.93', 0.9009063243865967)], [[[434.0, 716.0], [506.0, 721.0], [504.0, 743.0], [432.0, 738.0]], ('$0.33F', 0.9346413016319275)], [[[169.0, 726.0], [312.0, 729.0], [312.0, 750.0], [169.0, 747.0]], ('Markdown40.16', 0.8708584904670715)], [[[160.0, 744.0], [424.0, 757.0], [423.0, 782.0], [159.0, 769.0]], ('MAMA INST VERKICELLI CLEAR S', 0.8954797983169556)], [[[160.0, 767.0], [382.0, 777.0], [381.0, 801.0], [159.0, 791.0]], ('IBERIA CORNED BEEF 12 0Z', 0.8736786246299744)], [[[432.0, 760.0], [504.0, 766.0], [502.0, 788.0], [430.0, 782.0]], ('$0.49F', 0.9531121850013733)], [[[433.0, 784.0], [503.0, 789.0], [502.0, 812.0], [431.0, 807.0]], ('$3.99F', 0.8557637333869934)], [[[167.0, 795.0], [308.0, 797.0], [308.0, 816.0], [166.0, 813.0]], ('Markdown:$0.50', 0.8782102465629578)], [[[157.0, 810.0], [380.0, 820.0], [379.0, 848.0], [156.0, 838.0]], ('IBERIA CORNED BEEF 120Z', 0.8622501492500305)], [[[431.0, 829.0], [500.0, 835.0], [498.0, 858.0], [429.0, 852.0]], ('$3.99F', 0.9496371746063232)], [[[163.0, 841.0], [307.0, 841.0], [307.0, 861.0], [163.0, 861.0]], ('Markoown00.50', 0.8606898188591003)], [[[153.0, 855.0], [378.0, 865.0], [377.0, 893.0], [151.0, 883.0]], ('SHANGHAI BOK CHOY PER LB', 0.8590085506439209)], [[[154.0, 880.0], [304.0, 884.0], [303.0, 909.0], [154.0, 905.0]], ('Z0X118300A', 0.537375807762146)], [[[427.0, 873.0], [498.0, 876.0], [497.0, 899.0], [426.0, 895.0]], ('$1.84F', 0.8802897930145264)], [[[426.0, 896.0], [496.0, 898.0], [495.0, 920.0], [425.0, 917.0]], ('$3.99F', 0.9485344290733337)], [[[424.0, 916.0], [495.0, 920.0], [494.0, 942.0], [423.0, 938.0]], ('$3.99F', 0.8904219269752502)], [[[149.0, 949.0], [236.0, 947.0], [237.0, 970.0], [150.0, 972.0]], ('Net Sales', 0.8219553828239441)], [[[414.0, 956.0], [474.0, 961.0], [472.0, 984.0], [412.0, 979.0]], ('$40.33', 0.9671811461448669)], [[[149.0, 972.0], [269.0, 967.0], [270.0, 990.0], [150.0, 995.0]], ('Tax1[83.68]', 0.8241903781890869)], [[[421.0, 981.0], [470.0, 981.0], [470.0, 999.0], [421.0, 999.0]], ('$0.23', 0.9048129320144653)]]	{"store_name": "Foodtown", "store_addr": "6431STIRLINGROAD DAVIE,FL3334", "telephone": "(954)797-7790", "date": "11/28/2015", "time": "19:01:03", "subtotal": "$40.33", "tax": "$0.23", "total": "", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "DZHVEGGIEFISHBALLPERLB", "item_value": "$3.94", "item_quantity": "1"}, {"item_key": "", "item_name": "GREENTHAICHILIPERLB", "item_value": "$2.70", "item_quantity": "1"}, {"item_key": "", "item_name": "REDPOTATOES5LBSBAG", "item_value": "$2.29", "item_quantity": "1"}, {"item_key": "", "item_name": "WHITEONIONSPERLB", "item_value": "$1.54", "item_quantity": "1"}, {"item_key": "", "item_name": "CHIFLESCASSAVAREGULAR120", "item_value": "$3.59", "item_quantity": "1"}, {"item_key": "", "item_name": "JANIE'SFRUITSLICES6OZ", "item_value": "$0.99", "item_quantity": "1"}, {"item_key": "", "item_name": "ZIYAOFRUITMARSHMALLOWSFLV", "item_value": "$1.49", "item_quantity": "1"}, {"item_key": "", "item_name": "ESFREBOMRUBBERGLOVES[LARG", "item_value": "$2.69", "item_quantity": "1"}, {"item_key": "", "item_name": "ZIYADBAKINGDATESPITTED13", "item_value": "$1.99", "item_quantity": "1"}, {"item_key": "", "item_name": "MAMAINSTFLATNOODLESCLEAR", "item_value": "$0.49", "item_quantity": "1"}, {"item_key": "", "item_name": "MAMAINSTCHANDNOODLE1.93", "item_value": "$0.33", "item_quantity": "1"}, {"item_key": "", "item_name": "MAMAINSTVERKICELLICLEARS", "item_value": "$0.49", "item_quantity": "1"}, {"item_key": "", "item_name": "IBERIACORNEDBEEF12OZ", "item_value": "$3.99", "item_quantity": "1"}, {"item_key": "", "item_name": "IBERIACORNEDBEEF12OZ", "item_value": "$3.99", "item_quantity": "1"}, {"item_key": "", "item_name": "SHANGHAIBOKCHOYPERLB", "item_value": "$1.84", "item_quantity": "1"}, {"item_key": "", "item_name": "VEGGIESTIX7OZ", "item_value": "$3.99", "item_quantity": "1"}, {"item_key": "", "item_name": "ABCSWEETSOYSAUCE20OZ", "item_value": "$3.99", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[50.0, 53.0], [218.0, 44.0], [219.0, 62.0], [51.0, 72.0]], ('KESAR DA DHABA', 0.9612199068069458)], [[[94.0, 67.0], [150.0, 65.0], [151.0, 83.0], [95.0, 86.0]], ('ESTO.1916', 0.9277199506759644)], [[[56.0, 88.0], [192.0, 81.0], [193.0, 98.0], [57.0, 105.0]], ('CHOWK PASSIAN AMRITSAR', 0.9509755969047546)], [[[53.0, 103.0], [198.0, 99.0], [199.0, 117.0], [54.0, 121.0]], ('PH0183-2532227.2552103', 0.9790193438529968)], [[[51.0, 122.0], [168.0, 122.0], [168.0, 136.0], [51.0, 136.0]], ('ESTIMATE..', 0.9587318301200867)], [[[111.0, 135.0], [253.0, 134.0], [253.0, 152.0], [111.0, 153.0]], ('0SLM-027-12-201E', 0.9204196929931641)], [[[23.0, 168.0], [86.0, 168.0], [86.0, 182.0], [23.0, 182.0]], ('DESCRIPTION', 0.9740250110626221)], [[[125.0, 168.0], [145.0, 168.0], [145.0, 185.0], [125.0, 185.0]], ('OTY', 0.9434658885002136)], [[[170.0, 169.0], [197.0, 169.0], [197.0, 185.0], [170.0, 185.0]], ('RATE', 0.9970889091491699)], [[[212.0, 167.0], [253.0, 170.0], [253.0, 188.0], [211.0, 185.0]], ('AMOUNT', 0.989880383014679)], [[[23.0, 198.0], [113.0, 198.0], [113.0, 212.0], [23.0, 212.0]], ('ALOO PRANTHA THA', 0.951551079750061)], [[[129.0, 198.0], [198.0, 201.0], [197.0, 215.0], [129.0, 212.0]], ('1.00275.00', 0.9506546854972839)], [[[212.0, 202.0], [253.0, 202.0], [253.0, 217.0], [212.0, 217.0]], ('275.00', 0.975269615650177)], [[[24.0, 213.0], [81.0, 213.0], [81.0, 227.0], [24.0, 227.0]], ('MISSI ROTI', 0.9382110834121704)], [[[131.0, 212.0], [199.0, 214.0], [198.0, 231.0], [131.0, 229.0]], ('4.0060.00', 0.9824666976928711)], [[[211.0, 214.0], [252.0, 216.0], [251.0, 234.0], [210.0, 232.0]], ('240.00', 0.9672399163246155)], [[[24.0, 228.0], [102.0, 228.0], [102.0, 241.0], [24.0, 241.0]], ('CHAPATI CHOPRI', 0.9572531580924988)], [[[133.0, 229.0], [197.0, 231.0], [196.0, 246.0], [133.0, 244.0]], ('1.0015.00', 0.9691769480705261)], [[[217.0, 231.0], [252.0, 233.0], [251.0, 249.0], [216.0, 247.0]], ('15.00', 0.9735320806503296)], [[[24.0, 242.0], [92.0, 242.0], [92.0, 256.0], [24.0, 256.0]], ('PALAK PANEER', 0.9678673148155212)], [[[133.0, 243.0], [196.0, 247.0], [195.0, 262.0], [132.0, 258.0]], ('1.00220.00', 0.9647191762924194)], [[[132.0, 256.0], [197.0, 261.0], [196.0, 278.0], [131.0, 273.0]], ('1.0030.00', 0.9641640782356262)], [[[211.0, 247.0], [251.0, 249.0], [250.0, 264.0], [210.0, 262.0]], ('220.00', 0.9624257683753967)], [[[26.0, 258.0], [91.0, 258.0], [91.0, 269.0], [26.0, 269.0]], ('CHANNA PLAIN', 0.9353156089782715)], [[[25.0, 271.0], [93.0, 271.0], [93.0, 285.0], [25.0, 285.0]], ('MINRAL WATER', 0.9239820837974548)], [[[132.0, 271.0], [197.0, 277.0], [195.0, 294.0], [130.0, 288.0]], ('1.0020.00', 0.9617936611175537)], [[[216.0, 263.0], [250.0, 266.0], [249.0, 281.0], [215.0, 278.0]], ('30.00', 0.9949060678482056)], [[[23.0, 285.0], [115.0, 283.0], [115.0, 300.0], [23.0, 302.0]], ('SUB_TOT ITM=6', 0.8641617894172668)], [[[142.0, 288.0], [178.0, 292.0], [176.0, 307.0], [140.0, 303.0]], ('0=9.00', 0.844580888748169)], [[[215.0, 279.0], [250.0, 279.0], [250.0, 297.0], [215.0, 297.0]], ('20.00', 0.9781068563461304)], [[[210.0, 293.0], [251.0, 297.0], [249.0, 315.0], [208.0, 311.0]], ('800.00', 0.9422776103019714)], [[[26.0, 314.0], [70.0, 314.0], [70.0, 328.0], [26.0, 328.0]], ('CASH', 0.9976523518562317)], [[[153.0, 317.0], [247.0, 328.0], [245.0, 346.0], [151.0, 335.0]], ('800.00', 0.9947437644004822)], [[[25.0, 327.0], [129.0, 327.0], [129.0, 345.0], [25.0, 345.0]], ('PURE DESI GHEE USEO', 0.9302978515625)], [[[26.0, 342.0], [47.0, 342.0], [47.0, 354.0], [26.0, 354.0]], ('C1', 0.754098653793335)], [[[112.0, 341.0], [203.0, 353.0], [201.0, 370.0], [109.0, 358.0]], ('14:25:30M/C NO.', 0.8478584289550781)], [[[234.0, 359.0], [247.0, 359.0], [247.0, 374.0], [234.0, 374.0]], ('0', 0.8674057126045227)]]	{"store_name": "KESARDADHABA", "store_addr": "CHOWKPASSIANAMRITSAR", "telephone": "0183-2532227,2552103", "date": "", "time": "14:25:30", "subtotal": "800.00", "tax": "", "total": "800.00", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "ALDOPRANTHATHA", "item_value": "275.00", "item_quantity": "1"}, {"item_key": "", "item_name": "MISSIROTI", "item_value": "240.00", "item_quantity": "1"}, {"item_key": "", "item_name": "CHAPATICHOPRI", "item_value": "15.00", "item_quantity": "1"}, {"item_key": "", "item_name": "PALAKPANEER", "item_value": "220.00", "item_quantity": "1"}, {"item_key": "", "item_name": "CHANNAPLAIN", "item_value": "30.00", "item_quantity": "1"}, {"item_key": "", "item_name": "MINRALWATER", "item_value": "20.00", "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	[[[[54.0, 43.0], [234.0, 38.0], [234.0, 58.0], [55.0, 62.0]], ('Mi1p1tas cA 9535', 0.8387851715087891)], [[[45.0, 78.0], [141.0, 75.0], [142.0, 89.0], [46.0, 92.0]], ('HCCARTHY RANCH CHE', 0.91069495677948)], [[[43.0, 94.0], [129.0, 92.0], [130.0, 106.0], [44.0, 108.0]], ('367CYPRESS DR.', 0.905667781829834)], [[[143.0, 92.0], [190.0, 92.0], [190.0, 106.0], [143.0, 106.0]], ('MIITTS', 0.6582970023155212)], [[[232.0, 94.0], [247.0, 94.0], [247.0, 108.0], [232.0, 108.0]], ('CA', 0.9822006225585938)], [[[43.0, 110.0], [115.0, 110.0], [115.0, 124.0], [43.0, 124.0]], ('STN# 00206864', 0.9311479926109314)], [[[107.0, 143.0], [206.0, 143.0], [206.0, 157.0], [107.0, 157.0]], ('Debit Card Receipt', 0.9591509699821472)], [[[41.0, 179.0], [139.0, 179.0], [139.0, 193.0], [41.0, 193.0]], ('PriAcct', 0.9779841303825378)], [[[39.0, 215.0], [174.0, 215.0], [174.0, 228.0], [39.0, 228.0]], ('xXxxxxxxxxxx0051 E/0ebit', 0.8028745055198669)], [[[36.0, 253.0], [101.0, 253.0], [101.0, 267.0], [36.0, 267.0]], ('EXP CARWASH', 0.9472493529319763)], [[[143.0, 253.0], [152.0, 253.0], [152.0, 265.0], [143.0, 265.0]], ('1', 0.6596623063087463)], [[[218.0, 250.0], [248.0, 250.0], [248.0, 266.0], [218.0, 266.0]], ('11.95', 0.9921231269836426)], [[[35.0, 272.0], [77.0, 272.0], [77.0, 287.0], [35.0, 287.0]], ('CARWASH', 0.9330292344093323)], [[[144.0, 272.0], [153.0, 272.0], [153.0, 284.0], [144.0, 284.0]], ('1', 0.9654810428619385)], [[[221.0, 269.0], [250.0, 269.0], [250.0, 285.0], [221.0, 285.0]], ('8.00', 0.9925879240036011)], [[[34.0, 290.0], [105.0, 290.0], [105.0, 306.0], [34.0, 306.0]], ('COFFEE SHALL', 0.9618999361991882)], [[[142.0, 291.0], [154.0, 291.0], [154.0, 304.0], [142.0, 304.0]], ('1', 0.978446900844574)], [[[223.0, 289.0], [256.0, 289.0], [256.0, 305.0], [223.0, 305.0]], ('1.49T', 0.8640462756156921)], [[[31.0, 329.0], [97.0, 328.0], [97.0, 346.0], [31.0, 347.0]], ('Itens3', 0.9822666645050049)], [[[138.0, 330.0], [187.0, 330.0], [187.0, 345.0], [138.0, 345.0]], ('Subtotal', 0.9855431914329529)], [[[218.0, 329.0], [252.0, 329.0], [252.0, 344.0], [218.0, 344.0]], ('21.44', 0.9886381030082703)]]	{"store_name": "MCCARTHYRANCHCORP MCCARTHYRANCHCHE", "store_addr": "MilpitasCA95035 367CYPRESSOR.MILPITASCA", "telephone": "", "date": "", "time": "", "subtotal": "21.44", "tax": "", "total": "", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "EXPCARWASH", "item_value": "11.95", "item_quantity": "1"}, {"item_key": "", "item_name": "CARWASH", "item_value": "8.00", "item_quantity": "1"}, {"item_key": "", "item_name": "COFFEESHALL", "item_value": "1.49T", "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	[[[[49.0, 41.0], [146.0, 37.0], [147.0, 53.0], [49.0, 57.0]], ('*LITTLE', 0.8458803296089172)], [[[142.0, 38.0], [196.0, 38.0], [196.0, 52.0], [142.0, 52.0]], ('SIX', 0.937201976776123)], [[[206.0, 37.0], [261.0, 37.0], [261.0, 51.0], [206.0, 51.0]], ('CASINO', 0.9939792156219482)], [[[38.0, 70.0], [137.0, 67.0], [137.0, 84.0], [39.0, 88.0]], ('23181MIKKI', 0.9924600720405579)], [[[41.0, 103.0], [128.0, 100.0], [129.0, 114.0], [41.0, 117.0]], ('1403/1', 0.9624815583229065)], [[[190.0, 99.0], [264.0, 96.0], [264.0, 113.0], [190.0, 116.0]], ('CHK5383', 0.9951310753822327)], [[[279.0, 97.0], [326.0, 97.0], [326.0, 112.0], [279.0, 112.0]], ('GST 2', 0.8958093523979187)], [[[109.0, 116.0], [254.0, 113.0], [255.0, 131.0], [110.0, 133.0]], ("JUN10'16 11:30AM", 0.9162850379943848)], [[[112.0, 149.0], [182.0, 149.0], [182.0, 163.0], [112.0, 163.0]], ('Dine', 0.99726802110672)], [[[195.0, 150.0], [234.0, 150.0], [234.0, 164.0], [195.0, 164.0]], ('In', 0.9975688457489014)], [[[112.0, 182.0], [254.0, 182.0], [254.0, 196.0], [112.0, 196.0]], ('*S1*', 0.896522581577301)], [[[55.0, 199.0], [229.0, 196.0], [230.0, 212.0], [55.0, 215.0]], ('2DIET PEPSI1.99', 0.9457926154136658)], [[[262.0, 196.0], [301.0, 194.0], [302.0, 212.0], [263.0, 214.0]], ('3.98', 0.9957776665687561)], [[[57.0, 216.0], [211.0, 213.0], [211.0, 229.0], [57.0, 232.0]], ('1 CASINO SANDWICH', 0.9458146095275879)], [[[264.0, 213.0], [302.0, 213.0], [302.0, 228.0], [264.0, 228.0]], ('5.99', 0.998307466506958)], [[[57.0, 235.0], [185.0, 231.0], [185.0, 245.0], [57.0, 249.0]], ('1WALLEYE SAND', 0.9667139649391174)], [[[257.0, 229.0], [302.0, 229.0], [302.0, 244.0], [257.0, 244.0]], ('11.99', 0.9966060519218445)], [[[38.0, 251.0], [68.0, 251.0], [68.0, 267.0], [38.0, 267.0]], ('TAX', 0.9958255290985107)], [[[119.0, 248.0], [304.0, 244.0], [305.0, 261.0], [119.0, 265.0]], ('1.62TOTAL DU23.58', 0.9367074966430664)], [[[112.0, 265.0], [225.0, 263.0], [225.0, 279.0], [113.0, 281.0]], ('ALL SEATS', 0.9244682192802429)], [[[240.0, 264.0], [258.0, 264.0], [258.0, 277.0], [240.0, 277.0]], ('**', 0.8753933906555176)], [[[73.0, 302.0], [114.0, 299.0], [115.0, 318.0], [74.0, 321.0]], ('Food', 0.9976571202278137)], [[[261.0, 295.0], [309.0, 295.0], [309.0, 313.0], [261.0, 313.0]], ('17.98', 0.8943861722946167)], [[[73.0, 321.0], [161.0, 318.0], [161.0, 335.0], [73.0, 338.0]], ('Beverages', 0.996947705745697)], [[[270.0, 313.0], [310.0, 313.0], [310.0, 331.0], [270.0, 331.0]], ('3.98', 0.9961140155792236)], [[[75.0, 339.0], [105.0, 339.0], [105.0, 355.0], [75.0, 355.0]], ('TAX', 0.9956430792808533)], [[[272.0, 330.0], [311.0, 330.0], [311.0, 349.0], [272.0, 349.0]], ('1.62', 0.9937439560890198)], [[[35.0, 358.0], [183.0, 352.0], [184.0, 370.0], [36.0, 375.0]], ('12:01 TOTAL DUE', 0.9174259901046753)], [[[175.0, 353.0], [309.0, 348.0], [309.0, 365.0], [175.0, 370.0]], ('$2358', 0.996600329875946)]]	{"store_name": "LITTLESIXCASINO", "store_addr": "", "telephone": "", "date": "JUN10\u203216", "time": "12: 01", "subtotal": "", "tax": "1.62 1.62", "total": "23.58 $23.58", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "DIETPEPSI@", "item_value": "3.98", "item_quantity": "1"}, {"item_key": "", "item_name": "CASINOSANDWICH", "item_value": "5.99", "item_quantity": "1"}, {"item_key": "", "item_name": "WALLEYESAND", "item_value": "11.99", "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	[[[[736.0, 471.0], [1590.0, 491.0], [1586.0, 657.0], [733.0, 638.0]], ('7-ELEVEN#15520D2804', 0.9180277585983276)], [[[813.0, 625.0], [1476.0, 647.0], [1472.0, 752.0], [809.0, 730.0]], ('52 BRENTWOOD BLVD', 0.9362526535987854)], [[[334.0, 1053.0], [1020.0, 1096.0], [1016.0, 1168.0], [329.0, 1124.0]], ('TERM ID:K0474643', 0.9342098236083984)], [[[1532.0, 1096.0], [1979.0, 1070.0], [1983.0, 1141.0], [1536.0, 1167.0]], ('BATCH025', 0.9781980514526367)], [[[1532.0, 1175.0], [1986.0, 1148.0], [1991.0, 1229.0], [1537.0, 1256.0]], ('SHIFT#:001', 0.9493298530578613)], [[[968.0, 1320.0], [1285.0, 1335.0], [1278.0, 1488.0], [961.0, 1473.0]], ('Sale', 0.9980144500732422)], [[[325.0, 1461.0], [790.0, 1476.0], [788.0, 1555.0], [322.0, 1539.0]], ('INVHE', 0.7145243287086487)], [[[815.0, 1479.0], [1496.0, 1493.0], [1494.0, 1564.0], [813.0, 1550.0]], ('000000025', 0.996647298336029)], [[[309.0, 1544.0], [546.0, 1544.0], [546.0, 1629.0], [309.0, 1629.0]], ('MCARD', 0.9970820546150208)], [[[1818.0, 1549.0], [1994.0, 1558.0], [1989.0, 1636.0], [1814.0, 1627.0]], ('Chip', 0.9938870668411255)], [[[1318.0, 1642.0], [1989.0, 1642.0], [1989.0, 1710.0], [1318.0, 1710.0]], ('SEQ#:025001001025', 0.9519266486167908)], [[[317.0, 1714.0], [1471.0, 1717.0], [1471.0, 1785.0], [316.0, 1782.0]], ('Application Label: MasterCard', 0.9489213228225708)], [[[313.0, 1795.0], [1053.0, 1792.0], [1054.0, 1860.0], [313.0, 1863.0]], ('AID:A0000000041010', 0.9844344258308411)], [[[313.0, 1874.0], [1053.0, 1863.0], [1054.0, 1934.0], [314.0, 1945.0]], ('TVR:00 00 0080 00', 0.9082666635513306)], [[[305.0, 1956.0], [701.0, 1944.0], [703.0, 2026.0], [308.0, 2037.0]], ('TSI:E800', 0.9400554299354553)], [[[298.0, 2044.0], [972.0, 2019.0], [975.0, 2097.0], [301.0, 2123.0]], ('************9581', 0.9721049070358276)], [[[1658.0, 2173.0], [2010.0, 2192.0], [2001.0, 2359.0], [1649.0, 2340.0]], ('7.11', 0.9958721399307251)], [[[307.0, 2219.0], [1122.0, 2181.0], [1129.0, 2320.0], [314.0, 2358.0]], ('Total:CAD$', 0.9394991993904114)], [[[882.0, 2507.0], [1349.0, 2481.0], [1354.0, 2562.0], [887.0, 2589.0]], ('00100', 0.972307026386261)], [[[1664.0, 2589.0], [2019.0, 2606.0], [2011.0, 2756.0], [1656.0, 2738.0]], ('09:03:37', 0.9570215940475464)], [[[287.0, 2620.0], [733.0, 2603.0], [739.0, 2749.0], [293.0, 2766.0]], ('13-Feb-14', 0.9800886511802673)], [[[958.0, 2898.0], [1321.0, 2875.0], [1327.0, 2956.0], [964.0, 2980.0]], ('THANK YOU', 0.951492190361023)]]	{"store_name": "7-ELEVEN#15520D2804", "store_addr": "52BRENTWOODBLVD SHERWOODPARKABT8A2H6", "telephone": "(780)467-2055", "date": "13-Feb-14", "time": "09:03:37", "subtotal": "", "tax": "", "total": "7.11", "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	[[[[157.0, 67.0], [253.0, 67.0], [253.0, 85.0], [157.0, 85.0]], ('BORDER CAFE', 0.9673985838890076)], [[[156.0, 85.0], [259.0, 87.0], [258.0, 105.0], [155.0, 103.0]], ('356 Broadway', 0.9603620171546936)], [[[137.0, 103.0], [278.0, 103.0], [278.0, 124.0], [137.0, 124.0]], ('Saugus,MA 01906', 0.9290271401405334)], [[[145.0, 122.0], [268.0, 122.0], [268.0, 144.0], [145.0, 144.0]], ('781)233-5308', 0.9519174695014954)], [[[17.0, 218.0], [112.0, 226.0], [111.0, 244.0], [15.0, 236.0]], ('2 Beverage', 0.9477861523628235)], [[[349.0, 224.0], [391.0, 224.0], [391.0, 244.0], [349.0, 244.0]], ('3.96', 0.9952764511108398)], [[[15.0, 239.0], [85.0, 245.0], [83.0, 263.0], [13.0, 257.0]], ('2 Water', 0.9277833700180054)], [[[350.0, 247.0], [393.0, 247.0], [393.0, 266.0], [350.0, 266.0]], ('0.00', 0.997173547744751)], [[[12.0, 262.0], [237.0, 271.0], [236.0, 291.0], [12.0, 282.0]], ('1Sh/Cr QuesEadd guac', 0.9649365544319153)], [[[350.0, 268.0], [394.0, 268.0], [394.0, 290.0], [350.0, 290.0]], ('9.88', 0.9960248470306396)], [[[11.0, 283.0], [165.0, 290.0], [164.0, 311.0], [10.0, 303.0]], ('1 B1k Sa1mon Sa1', 0.8856348991394043)], [[[351.0, 291.0], [395.0, 291.0], [395.0, 313.0], [351.0, 313.0]], ('8.98', 0.9983323812484741)], [[[8.0, 306.0], [236.0, 316.0], [235.0, 337.0], [7.0, 327.0]], ('1 Chkn QuesaEadd guac', 0.9679756164550781)], [[[352.0, 314.0], [397.0, 314.0], [397.0, 338.0], [352.0, 338.0]], ('8.93', 0.9963035583496094)], [[[214.0, 360.0], [314.0, 363.0], [313.0, 384.0], [214.0, 381.0]], ('Sub Total:', 0.8961914777755737)], [[[342.0, 363.0], [398.0, 365.0], [397.0, 388.0], [341.0, 385.0]], ('31.75', 0.9967582821846008)], [[[186.0, 384.0], [314.0, 388.0], [313.0, 410.0], [185.0, 405.0]], ('ST/Loca1 Tax', 0.9066466689109802)], [[[352.0, 388.0], [400.0, 391.0], [399.0, 414.0], [351.0, 411.0]], ('2.22', 0.9932021498680115)], [[[2.0, 402.0], [228.0, 411.0], [227.0, 432.0], [1.0, 423.0]], ('04/19 4:17pTOTAL', 0.8717303276062012)], [[[292.0, 412.0], [396.0, 416.0], [396.0, 439.0], [291.0, 436.0]], ('33.97', 0.9972966909408569)], [[[62.0, 454.0], [324.0, 466.0], [323.0, 488.0], [61.0, 475.0]], ('GIVE THE GIFT OF GOOD EATS', 0.9320081472396851)], [[[49.0, 480.0], [324.0, 494.0], [323.0, 515.0], [48.0, 501.0]], ('GIFT CERTIFICATES AVAILABLE', 0.9792811870574951)]]	{"store_name": "BORDERCAFE", "store_addr": "356Broadway Saugus,MA01906", "telephone": "(781)233-5308", "date": "04/19/14 04/19", "time": "4:17p", "subtotal": "31.75", "tax": "2.22", "total": "33.97", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "Beverage", "item_value": "3.96", "item_quantity": "1"}, {"item_key": "", "item_name": "Water", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Sh/CrQuesE,addguac", "item_value": "9,88", "item_quantity": "1"}, {"item_key": "", "item_name": "BlkSalmonSal", "item_value": "8.98", "item_quantity": "1"}, {"item_key": "", "item_name": "ChknQuesaE,addguac", "item_value": "8.93", "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	[[[[204.0, 114.0], [274.0, 118.0], [274.0, 131.0], [204.0, 128.0]], ('SPEEDWAY', 0.9844323992729187)], [[[205.0, 126.0], [269.0, 130.0], [269.0, 143.0], [205.0, 140.0]], ('0001129', 0.9791904091835022)], [[[211.0, 138.0], [269.0, 140.0], [269.0, 154.0], [211.0, 152.0]], ('Newark', 0.9913327097892761)], [[[185.0, 153.0], [306.0, 154.0], [306.0, 171.0], [185.0, 170.0]], ('OH43055-6597', 0.9769538044929504)], [[[152.0, 172.0], [270.0, 172.0], [270.0, 188.0], [152.0, 188.0]], ('740349-7201', 0.9925904870033264)], [[[152.0, 190.0], [279.0, 190.0], [279.0, 204.0], [152.0, 204.0]], ('TRAN#1706774', 0.9818909764289856)], [[[147.0, 224.0], [225.0, 224.0], [225.0, 241.0], [147.0, 241.0]], ('Pump07', 0.9855939745903015)], [[[148.0, 243.0], [336.0, 243.0], [336.0, 257.0], [148.0, 257.0]], ('Unleaded, Self Serve', 0.9237515330314636)], [[[155.0, 258.0], [338.0, 257.0], [339.0, 273.0], [155.0, 274.0]], ('13.439$3.579/GAL', 0.969435453414917)], [[[147.0, 277.0], [234.0, 277.0], [234.0, 291.0], [147.0, 291.0]], ('GAS TOTAL', 0.9423758387565613)], [[[280.0, 275.0], [343.0, 271.0], [344.0, 289.0], [281.0, 292.0]], ('$48.10', 0.9929817318916321)], [[[143.0, 311.0], [177.0, 311.0], [177.0, 330.0], [143.0, 330.0]], ('TAX', 0.9960452914237976)], [[[292.0, 308.0], [348.0, 307.0], [349.0, 326.0], [293.0, 327.0]], ('$0.00', 0.9919023513793945)], [[[144.0, 333.0], [195.0, 333.0], [195.0, 348.0], [144.0, 348.0]], ('TOTAL', 0.9990129470825195)], [[[284.0, 329.0], [350.0, 326.0], [351.0, 344.0], [285.0, 347.0]], ('$48.10', 0.9908387660980225)], [[[139.0, 372.0], [310.0, 369.0], [310.0, 387.0], [140.0, 390.0]], ('Rewards Pay Card', 0.9697462320327759)], [[[140.0, 394.0], [247.0, 394.0], [247.0, 411.0], [140.0, 411.0]], ('Card Nun :', 0.8806372880935669)], [[[137.0, 415.0], [346.0, 411.0], [347.0, 429.0], [137.0, 432.0]], ('XXXXXXXXXXXXXXXXXXX', 0.7130406498908997)], [[[134.0, 438.0], [194.0, 436.0], [195.0, 454.0], [135.0, 456.0]], ('TERM:', 0.9636596441268921)], [[[225.0, 436.0], [248.0, 436.0], [248.0, 453.0], [225.0, 453.0]], ('01', 0.994756817817688)], [[[132.0, 461.0], [283.0, 458.0], [283.0, 477.0], [133.0, 481.0]], ('APPR#130921', 0.9860643744468689)]]	{"store_name": "SPEEDWAY", "store_addr": "Newark OH43055-6597", "telephone": "(741)349-7201", "date": "", "time": "", "subtotal": "$48.10", "tax": "$0.00", "total": "$48.10", "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	[[[[155.0, 1.0], [211.0, 1.0], [211.0, 11.0], [155.0, 11.0]], ('516-321-9999', 0.9566695094108582)], [[[69.0, 12.0], [105.0, 12.0], [105.0, 37.0], [69.0, 37.0]], ('SERVER', 0.9366443753242493)], [[[69.0, 28.0], [104.0, 31.0], [103.0, 46.0], [68.0, 43.0]], ('GUESIS', 0.9072321057319641)], [[[70.0, 41.0], [104.0, 41.0], [104.0, 51.0], [70.0, 51.0]], ('RECETPT', 0.9154385328292847)], [[[194.0, 35.0], [258.0, 35.0], [258.0, 45.0], [194.0, 45.0]], ('04/28/2817 Fr1', 0.9139636158943176)], [[[205.0, 41.0], [262.0, 41.0], [262.0, 57.0], [205.0, 57.0]], ('09:17:07PM', 0.8549790382385254)], [[[94.0, 57.0], [120.0, 60.0], [119.0, 71.0], [93.0, 69.0]], ('HUMUS', 0.9586876034736633)], [[[93.0, 67.0], [122.0, 67.0], [122.0, 82.0], [93.0, 82.0]], ('LAVAS', 0.9960068464279175)], [[[93.0, 77.0], [126.0, 77.0], [126.0, 91.0], [93.0, 91.0]], ('TARAMA', 0.995887815952301)], [[[123.0, 70.0], [182.0, 70.0], [182.0, 81.0], [123.0, 81.0]], ('HOLLOW BREAD', 0.9520087242126465)], [[[93.0, 87.0], [193.0, 87.0], [193.0, 101.0], [93.0, 101.0]], ('SHEPHERD SALAD SMALL', 0.9462392926216125)], [[[94.0, 98.0], [117.0, 98.0], [117.0, 110.0], [94.0, 110.0]], ('*Add', 0.8110501170158386)], [[[116.0, 98.0], [158.0, 98.0], [158.0, 112.0], [116.0, 112.0]], ('Feta $2', 0.8885230422019958)], [[[92.0, 114.0], [146.0, 117.0], [145.0, 132.0], [92.0, 129.0]], ('Lasb COK60', 0.6667040586471558)], [[[94.0, 108.0], [115.0, 108.0], [115.0, 120.0], [94.0, 120.0]], ('LAMB', 0.8821558356285095)], [[[116.0, 107.0], [175.0, 107.0], [175.0, 121.0], [116.0, 121.0]], ('SHISH KEBAB', 0.9590615630149841)], [[[91.0, 125.0], [161.0, 129.0], [161.0, 144.0], [91.0, 140.0]], ('Baklava Combo', 0.9124470353126526)], [[[92.0, 137.0], [219.0, 137.0], [219.0, 151.0], [92.0, 151.0]], ('House White Wine by Glass', 0.9245136976242065)], [[[91.0, 149.0], [161.0, 149.0], [161.0, 160.0], [91.0, 160.0]], ('SODA FOUNTAIN', 0.9616925120353699)], [[[62.0, 176.0], [160.0, 176.0], [160.0, 193.0], [62.0, 193.0]], ('SALES TAX X08.625', 0.8492473363876343)], [[[65.0, 169.0], [114.0, 169.0], [114.0, 180.0], [65.0, 180.0]], ('SUB TOTAL', 0.9527602791786194)], [[[230.0, 167.0], [271.0, 163.0], [272.0, 180.0], [232.0, 184.0]], ('$100.65', 0.9679210782051086)], [[[243.0, 176.0], [272.0, 176.0], [272.0, 191.0], [243.0, 191.0]], ("89'83", 0.702446699142456)], [[[63.0, 201.0], [125.0, 201.0], [125.0, 215.0], [63.0, 215.0]], ('AMOUNT DUE:', 0.947319746017456)], [[[235.0, 198.0], [273.0, 195.0], [274.0, 210.0], [236.0, 213.0]], ('$109.33', 0.9905719757080078)], [[[60.0, 246.0], [278.0, 239.0], [279.0, 253.0], [61.0, 260.0]], ('TIPS:X15=$15.10 X20=$20.13 X25=$25.16', 0.8970292806625366)], [[[60.0, 271.0], [192.0, 266.0], [193.0, 280.0], [61.0, 285.0]], ('YOUR ORDER NUMBER275', 0.9474135637283325)], [[[104.0, 305.0], [244.0, 296.0], [245.0, 313.0], [105.0, 322.0]], ('Yesss !!! WE DO PARTIES', 0.8760079145431519)], [[[80.0, 331.0], [242.0, 323.0], [243.0, 339.0], [81.0, 347.0]], ('Sweet 16.Bar Mitzvah.Birtb', 0.8681430816650391)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "04/28/2017Fri", "time": "09:17:07PM", "subtotal": "$100.65", "tax": "$8.68", "total": "$109.33", "ignore": " ", "tips": "$15.10 $20.13 $25.16", "line_items": [{"item_key": "", "item_name": "LAVASHOLLOWBREAD", "item_value": "$7.50", "item_quantity": "1"}, {"item_key": "", "item_name": "TARAMA", "item_value": "$4.50", "item_quantity": "1"}, {"item_key": "", "item_name": "SHEPHERDSALADSMALL", "item_value": "$8.50", "item_quantity": "1"}, {"item_key": "", "item_name": "*AddFeta$2", "item_value": "$11.50", "item_quantity": "1"}, {"item_key": "", "item_name": "LANBSHISHKEBAB", "item_value": "$25.95", "item_quantity": "1"}, {"item_key": "", "item_name": "LambCOMBO", "item_value": "$24.95", "item_quantity": "1"}, {"item_key": "", "item_name": "BaklavaCombo", "item_value": "$7.00", "item_quantity": "1"}, {"item_key": "", "item_name": "HouseWhiteWinebyGlass", "item_value": "$8.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SODAFOUNTAIN", "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	[[[[179.0, 38.0], [407.0, 36.0], [408.0, 54.0], [179.0, 56.0]], ('LONG BEACH RESORT LTD', 0.9184130430221558)], [[[232.0, 53.0], [347.0, 55.0], [347.0, 70.0], [231.0, 68.0]], (' TIDES **', 0.7986983060836792)], [[[124.0, 67.0], [252.0, 69.0], [252.0, 84.0], [123.0, 81.0]], ('35307AChuttoo', 0.9289597868919373)], [[[116.0, 99.0], [211.0, 99.0], [211.0, 113.0], [116.0, 113.0]], ('CHK3869371', 0.9912778735160828)], [[[252.0, 96.0], [318.0, 99.0], [317.0, 117.0], [252.0, 114.0]], ('TBL4/1', 0.9670953154563904)], [[[421.0, 94.0], [474.0, 91.0], [474.0, 110.0], [422.0, 113.0]], ('GST2', 0.9895637631416321)], [[[203.0, 112.0], [371.0, 111.0], [371.0, 131.0], [203.0, 132.0]], ('29 Sep17 13:57 PM', 0.9065393805503845)], [[[262.0, 145.0], [302.0, 145.0], [302.0, 163.0], [262.0, 163.0]], ('HB', 0.9951601028442383)], [[[183.0, 161.0], [375.0, 164.0], [375.0, 182.0], [183.0, 179.0]], ('304/HB-OLIVEIRA Joao', 0.9474109411239624)], [[[106.0, 177.0], [244.0, 181.0], [243.0, 198.0], [105.0, 194.0]], ('1 Club Sandwich', 0.9154034852981567)], [[[411.0, 179.0], [473.0, 179.0], [473.0, 196.0], [411.0, 196.0]], ('550.00', 0.9966704249382019)], [[[102.0, 194.0], [223.0, 199.0], [222.0, 216.0], [101.0, 211.0]], ('1 Beef Burger', 0.9462157487869263)], [[[410.0, 197.0], [473.0, 197.0], [473.0, 214.0], [410.0, 214.0]], ('600.00', 0.9976866245269775)], [[[94.0, 210.0], [315.0, 214.0], [314.0, 235.0], [94.0, 231.0]], ('3Draught 330m1 Phoenix', 0.9437002539634705)], [[[409.0, 215.0], [474.0, 215.0], [474.0, 232.0], [409.0, 232.0]], ('600.00', 0.9964573383331299)], [[[94.0, 229.0], [188.0, 233.0], [188.0, 251.0], [93.0, 246.0]], ('1 Expresso', 0.9485286474227905)], [[[411.0, 234.0], [474.0, 234.0], [474.0, 252.0], [411.0, 252.0]], ('125.00', 0.9953016638755798)], [[[111.0, 266.0], [286.0, 269.0], [286.0, 288.0], [111.0, 284.0]], ('244.57VAT15%Inc', 0.9844868779182434)], [[[399.0, 272.0], [473.0, 272.0], [473.0, 291.0], [399.0, 291.0]], ('1875.00', 0.9976544976234436)], [[[99.0, 285.0], [177.0, 289.0], [176.0, 306.0], [98.0, 302.0]], ('Subtotal', 0.9941065907478333)], [[[375.0, 290.0], [473.0, 293.0], [473.0, 311.0], [375.0, 308.0]], ('Rs1875.00', 0.993449330329895)], [[[68.0, 303.0], [242.0, 310.0], [241.0, 330.0], [67.0, 323.0]], ('Total Due', 0.9390928745269775)], [[[281.0, 312.0], [471.0, 315.0], [471.0, 333.0], [281.0, 330.0]], ('Rs1875.00', 0.9086027145385742)], [[[60.0, 365.0], [210.0, 366.0], [210.0, 384.0], [60.0, 383.0]], ('ROOM NUMBER', 0.9524056911468506)], [[[208.0, 364.0], [260.0, 367.0], [259.0, 385.0], [207.0, 383.0]], ('305', 0.7947887778282166)]]	{"store_name": "LONGBEACHRESORTLTD", "store_addr": "", "telephone": "", "date": "29sep'17", "time": "13:57PM", "subtotal": "Rs1875.00", "tax": "", "total": "1875.00 1875.00", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "Expresso", "item_value": "550.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Draught330mlPhoenix", "item_value": "600.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BeefBurger", "item_value": "600.00", "item_quantity": "1"}, {"item_key": "", "item_name": "ClubSandwich", "item_value": "125.00", "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, 48.0], [917.0, 57.0], [917.0, 107.0], [136.0, 98.0]], ('Lot G10, Ground FloorPlaza Shah Alan', 0.9125845432281494)], [[[155.0, 103.0], [910.0, 107.0], [910.0, 153.0], [155.0, 150.0]], ('No.2,Jalan Tengku AmpuanZabedah E9/E', 0.935584306716919)], [[[280.0, 157.0], [791.0, 158.0], [791.0, 203.0], [279.0, 202.0]], ('Section 9.40100 Shah Alam', 0.9022901654243469)], [[[124.0, 312.0], [361.0, 304.0], [364.0, 388.0], [127.0, 396.0]], ('Table:A1', 0.9462844729423523)], [[[814.0, 340.0], [952.0, 336.0], [953.0, 383.0], [816.0, 387.0]], ('PAX:3', 0.9089271426200867)], [[[132.0, 380.0], [541.0, 394.0], [539.0, 434.0], [131.0, 420.0]], ('B111 No.:003-026186', 0.9182630777359009)], [[[130.0, 430.0], [640.0, 440.0], [639.0, 487.0], [129.0, 476.0]], ('Date:2014/06/25 20:25:50', 0.9459772706031799)], [[[130.0, 535.0], [544.0, 545.0], [543.0, 589.0], [129.0, 578.0]], ('HT9"Medi terranean S', 0.9328341484069824)], [[[796.0, 535.0], [947.0, 531.0], [948.0, 578.0], [797.0, 582.0]], ('RM28.90', 0.9946349263191223)], [[[130.0, 590.0], [403.0, 597.0], [402.0, 637.0], [129.0, 630.0]], ('PPJ Wings-6', 0.9396533370018005)], [[[719.0, 595.0], [740.0, 595.0], [740.0, 630.0], [719.0, 630.0]], ('1', 0.6365734934806824)], [[[796.0, 589.0], [949.0, 585.0], [950.0, 631.0], [797.0, 635.0]], ('RM16.90', 0.9918712377548218)], [[[130.0, 641.0], [500.0, 649.0], [499.0, 689.0], [129.0, 681.0]], ('Meatballs & Wedges', 0.9232914447784424)], [[[799.0, 642.0], [947.0, 638.0], [948.0, 681.0], [800.0, 685.0]], ('RM11.50', 0.9724234342575073)], [[[130.0, 695.0], [402.0, 698.0], [402.0, 739.0], [129.0, 735.0]], ('Hot Chocolate', 0.9703909754753113)], [[[816.0, 694.0], [947.0, 690.0], [948.0, 738.0], [818.0, 742.0]], ('RM7.90', 0.9129579067230225)], [[[130.0, 746.0], [382.0, 750.0], [381.0, 792.0], [129.0, 788.0]], ('Mountain Dew', 0.9647891521453857)], [[[719.0, 750.0], [745.0, 750.0], [745.0, 788.0], [719.0, 788.0]], ('1', 0.9777841567993164)], [[[820.0, 747.0], [948.0, 747.0], [948.0, 792.0], [820.0, 792.0]], ('RM6.90', 0.988584041595459)], [[[130.0, 802.0], [419.0, 802.0], [419.0, 842.0], [130.0, 842.0]], ('Lipton Ice Tea', 0.95887690782547)], [[[818.0, 800.0], [945.0, 796.0], [946.0, 840.0], [819.0, 844.0]], ('RMG.90', 0.9726994633674622)], [[[131.0, 853.0], [559.0, 853.0], [559.0, 892.0], [131.0, 892.0]], ('Refill - Mountain Dew', 0.9034090638160706)], [[[816.0, 850.0], [943.0, 846.0], [945.0, 890.0], [818.0, 894.0]], ('RMO.00', 0.9835414290428162)], [[[133.0, 905.0], [561.0, 905.0], [561.0, 943.0], [133.0, 943.0]], ('Refill - Mountain Dew', 0.8826762437820435)], [[[721.0, 907.0], [745.0, 907.0], [745.0, 942.0], [721.0, 942.0]], ('1', 0.7297214865684509)], [[[816.0, 900.0], [943.0, 896.0], [945.0, 940.0], [818.0, 944.0]], ('RMO.00', 0.9818820357322693)], [[[131.0, 957.0], [598.0, 957.0], [598.0, 995.0], [131.0, 995.0]], ('Refil1-Lipton Ice Tea', 0.8963587880134583)], [[[723.0, 955.0], [747.0, 955.0], [747.0, 990.0], [723.0, 990.0]], ('1', 0.8807050585746765)], [[[818.0, 949.0], [943.0, 945.0], [945.0, 988.0], [819.0, 992.0]], ('RMO.00', 0.9841530919075012)], [[[124.0, 1008.0], [598.0, 1005.0], [598.0, 1043.0], [125.0, 1047.0]], ('Refill -Lipton Ice Tea', 0.8931045532226562)], [[[821.0, 999.0], [947.0, 995.0], [948.0, 1038.0], [823.0, 1042.0]], ('RMO.00', 0.9765880703926086)], [[[494.0, 1107.0], [681.0, 1103.0], [682.0, 1148.0], [495.0, 1152.0]], ('Sub-Total', 0.9837580919265747)], [[[806.0, 1100.0], [955.0, 1100.0], [955.0, 1147.0], [806.0, 1147.0]], ('RM79.00', 0.9963247179985046)], [[[826.0, 1154.0], [957.0, 1150.0], [958.0, 1198.0], [828.0, 1202.0]], ('RM7.90', 0.9877495169639587)], [[[264.0, 1167.0], [686.0, 1158.0], [687.0, 1203.0], [265.0, 1212.0]], ('Service Charge (10%', 0.9258285164833069)], [[[450.0, 1217.0], [686.0, 1211.0], [687.0, 1258.0], [451.0, 1264.0]], ('6% Govt Tax', 0.9304895401000977)], [[[832.0, 1212.0], [960.0, 1212.0], [960.0, 1257.0], [832.0, 1257.0]], ('RM4.74', 0.9920780062675476)], [[[577.0, 1326.0], [687.0, 1321.0], [689.0, 1371.0], [579.0, 1376.0]], ('Total', 0.9978440403938293)], [[[811.0, 1320.0], [962.0, 1316.0], [963.0, 1365.0], [812.0, 1369.0]], ('RM91.64', 0.9936118125915527)], [[[516.0, 1382.0], [690.0, 1382.0], [690.0, 1430.0], [516.0, 1430.0]], ('Rounding', 0.9991883039474487)], [[[832.0, 1375.0], [961.0, 1375.0], [961.0, 1423.0], [832.0, 1423.0]], ('RMO.01', 0.9854729771614075)], [[[739.0, 1487.0], [963.0, 1481.0], [965.0, 1566.0], [742.0, 1572.0]], ('91.65', 0.9944976568222046)], [[[266.0, 1524.0], [778.0, 1515.0], [779.0, 1573.0], [267.0, 1582.0]], ('Total atter Rounding RM', 0.9349382519721985)]]	{"store_name": "", "store_addr": "LotG10,GroundFloor,PlazaShahAlam, No.2,JalanTengkuAmpuanZabedahE9/E, Section9,40100ShahAIam,", "telephone": "", "date": "2014/06/25", "time": "20:25:50", "subtotal": "RM79.00", "tax": "RM4.74", "total": "RM91.64", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "HT9''MediterraneanS", "item_value": "RM28.90", "item_quantity": "1"}, {"item_key": "", "item_name": "PPJWimgs-6", "item_value": "RM16.90", "item_quantity": "1"}, {"item_key": "", "item_name": "Meatballs&Wedges", "item_value": "RM11.50", "item_quantity": "1"}, {"item_key": "", "item_name": "HotChocolate", "item_value": "RM7.90", "item_quantity": "1"}, {"item_key": "", "item_name": "MountainDew", "item_value": "RM6.90", "item_quantity": "1"}, {"item_key": "", "item_name": "LiptonIceTea", "item_value": "RM6.90", "item_quantity": "1"}, {"item_key": "", "item_name": "Refill-MountainDew", "item_value": "RM0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Refill-MountainDew", "item_value": "RM0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Refill-LiptonIceTea", "item_value": "RM0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Refill-LiptonIceTea", "item_value": "RM0.00", "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	[[[[276.0, 340.0], [709.0, 308.0], [711.0, 336.0], [278.0, 369.0]], ('REPRINT AT 19 0ct10 18:15:01', 0.8670458197593689)], [[[391.0, 366.0], [590.0, 351.0], [593.0, 384.0], [393.0, 399.0]], ('KFC QUEENSBAY', 0.9560865163803101)], [[[364.0, 406.0], [609.0, 388.0], [611.0, 421.0], [367.0, 439.0]], ('Te1:604-6414326', 0.9156299233436584)], [[[380.0, 447.0], [592.0, 434.0], [594.0, 463.0], [381.0, 476.0]], ('www.kfc.com.my', 0.9854455590248108)], [[[685.0, 459.0], [801.0, 455.0], [802.0, 491.0], [686.0, 495.0]], ('7 DILLA', 0.9185174107551575)], [[[191.0, 492.0], [340.0, 483.0], [342.0, 518.0], [193.0, 527.0]], ('3 COUNTER3', 0.9436872601509094)], [[[194.0, 569.0], [302.0, 561.0], [304.0, 596.0], [197.0, 604.0]], ('ChK178', 0.960141122341156)], [[[359.0, 596.0], [630.0, 579.0], [633.0, 614.0], [362.0, 631.0]], ('19 0ct 10 18:12:02', 0.9042174220085144)], [[[675.0, 656.0], [749.0, 651.0], [751.0, 688.0], [677.0, 692.0]], ('9.80', 0.997169017791748)], [[[239.0, 679.0], [512.0, 663.0], [514.0, 696.0], [241.0, 712.0]], ('DINNER COMBO HST T', 0.9428752064704895)], [[[676.0, 694.0], [749.0, 689.0], [751.0, 726.0], [679.0, 731.0]], ('5.90', 0.9971432685852051)], [[[241.0, 719.0], [454.0, 708.0], [456.0, 738.0], [243.0, 749.0]], ('JJEU SET CT T', 0.8631423115730286)], [[[679.0, 732.0], [755.0, 732.0], [755.0, 768.0], [679.0, 768.0]], ('0.20', 0.9948111176490784)], [[[243.0, 755.0], [469.0, 743.0], [471.0, 773.0], [244.0, 785.0]], ('PLASTIC BAG T T', 0.8909440636634827)], [[[665.0, 772.0], [752.0, 768.0], [754.0, 804.0], [666.0, 809.0]], ('20.00', 0.9981080889701843)], [[[242.0, 790.0], [312.0, 790.0], [312.0, 827.0], [242.0, 827.0]], ('CASH', 0.9973182082176208)], [[[730.0, 850.0], [752.0, 850.0], [752.0, 880.0], [730.0, 880.0]], ('3', 0.9981831908226013)], [[[243.0, 865.0], [483.0, 860.0], [484.0, 893.0], [244.0, 899.0]], ('Total item sold', 0.9147016406059265)], [[[668.0, 887.0], [752.0, 883.0], [754.0, 918.0], [670.0, 922.0]], ('15.90', 0.9976896047592163)], [[[242.0, 905.0], [377.0, 905.0], [377.0, 933.0], [242.0, 933.0]], ('Sub Total', 0.9613795876502991)], [[[680.0, 923.0], [754.0, 923.0], [754.0, 960.0], [680.0, 960.0]], ('0.79', 0.9962686896324158)], [[[242.0, 942.0], [365.0, 942.0], [365.0, 972.0], [242.0, 972.0]], ('Govt Tax', 0.9236741065979004)], [[[668.0, 966.0], [751.0, 961.0], [753.0, 996.0], [670.0, 1001.0]], ('16.69', 0.9969849586486816)], [[[240.0, 980.0], [333.0, 980.0], [333.0, 1010.0], [240.0, 1010.0]], ('Total:', 0.9870216250419617)], [[[679.0, 1002.0], [750.0, 998.0], [753.0, 1036.0], [682.0, 1041.0]], ('0.01', 0.9950456619262695)], [[[668.0, 1044.0], [752.0, 1039.0], [754.0, 1076.0], [670.0, 1081.0]], ('16.70', 0.9958845376968384)], [[[667.0, 1082.0], [754.0, 1082.0], [754.0, 1118.0], [667.0, 1118.0]], ('20.00', 0.996418297290802)], [[[235.0, 1093.0], [347.0, 1093.0], [347.0, 1128.0], [235.0, 1128.0]], ('Payment', 0.9981698989868164)], [[[682.0, 1122.0], [755.0, 1122.0], [755.0, 1158.0], [682.0, 1158.0]], ('3.30', 0.9964450597763062)], [[[233.0, 1134.0], [391.0, 1130.0], [392.0, 1165.0], [234.0, 1169.0]], ('Change Due', 0.9677501916885376)], [[[270.0, 1172.0], [705.0, 1165.0], [705.0, 1195.0], [270.0, 1202.0]], ('7CL0SED19 0ct 10 18:15:01', 0.8766558766365051)], [[[437.0, 1210.0], [577.0, 1210.0], [577.0, 1240.0], [437.0, 1240.0]], ('Thank You', 0.9541050791740417)], [[[372.0, 1248.0], [640.0, 1248.0], [640.0, 1282.0], [372.0, 1282.0]], ('Please Come Again', 0.9441587924957275)], [[[310.0, 1330.0], [697.0, 1330.0], [697.0, 1358.0], [310.0, 1358.0]], ('KFC PENINSULAR MALAYSIA)', 0.9468622207641602)], [[[355.0, 1372.0], [635.0, 1372.0], [635.0, 1400.0], [355.0, 1400.0]], ('Sdn.Bhd.(026388T)', 0.9337621331214905)], [[[599.0, 1455.0], [944.0, 1458.0], [943.0, 1497.0], [598.0, 1493.0]], ('Kellaw photography', 0.9827193021774292)], [[[600.0, 1499.0], [939.0, 1512.0], [937.0, 1569.0], [598.0, 1556.0]], ('Kellaw.net', 0.975943922996521)]]	{"store_name": "KFC(PENINSULARMALAYSIA) KFCQUEENSBAY", "store_addr": "", "telephone": "604-6414326", "date": "19Oct10 19Oct10", "time": "18:12:02", "subtotal": "15.90", "tax": "0.79", "total": "16.69", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "PLASTICBAGTT", "item_value": "9.80", "item_quantity": "1"}, {"item_key": "", "item_name": "JJEVSETCTT", "item_value": "5.90", "item_quantity": "1"}, {"item_key": "", "item_name": "DINNERCOMBOHSTT", "item_value": "0.20", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[611.0, 98.0], [638.0, 98.0], [638.0, 127.0], [611.0, 127.0]], ('7', 0.5668467283248901)], [[[213.0, 127.0], [457.0, 133.0], [457.0, 164.0], [212.0, 158.0]], ('E1 Chatan Restaurant', 0.91569584608078)], [[[144.0, 156.0], [517.0, 161.0], [517.0, 187.0], [144.0, 182.0]], ('7971S 40th Street -Suite 17', 0.908275306224823)], [[[533.0, 154.0], [598.0, 105.0], [619.0, 133.0], [553.0, 183.0]], ('alan', 0.9667512774467468)], [[[241.0, 182.0], [436.0, 185.0], [436.0, 210.0], [241.0, 207.0]], ('Mian1.FL33155', 0.9049637913703918)], [[[242.0, 207.0], [427.0, 210.0], [427.0, 236.0], [242.0, 233.0]], ('ph 305-266-0212', 0.9495646357536316)], [[[268.0, 234.0], [406.0, 238.0], [406.0, 262.0], [268.0, 259.0]], ('Guest Check', 0.9574607610702515)], [[[732.0, 245.0], [756.0, 245.0], [756.0, 274.0], [732.0, 274.0]], ('a', 0.9934312701225281)], [[[210.0, 259.0], [479.0, 265.0], [478.0, 291.0], [209.0, 285.0]], ('Thank You for Visiting', 0.9393323659896851)], [[[97.0, 288.0], [590.0, 291.0], [590.0, 317.0], [97.0, 314.0]], ('Please visit us on facebook at EL CHALAN', 0.9172700047492981)], [[[121.0, 317.0], [553.0, 319.0], [553.0, 343.0], [121.0, 342.0]], ('RESTAURANT.We welcome a11 feedback', 0.9075742363929749)], [[[137.0, 345.0], [557.0, 343.0], [557.0, 372.0], [137.0, 374.0]], ('regarding your visit. Email us at', 0.9426920413970947)], [[[1.0, 375.0], [24.0, 375.0], [24.0, 404.0], [1.0, 404.0]], ('a', 0.9947552680969238)], [[[175.0, 374.0], [524.0, 375.0], [524.0, 400.0], [175.0, 398.0]], ('[email protected]', 0.9556475281715393)], [[[580.0, 374.0], [615.0, 374.0], [615.0, 405.0], [580.0, 405.0]], ('a', 0.9925691485404968)], [[[229.0, 404.0], [464.0, 404.0], [464.0, 424.0], [229.0, 424.0]], ('TABLE13-1Guest', 0.952412486076355)], [[[218.0, 429.0], [479.0, 429.0], [479.0, 453.0], [218.0, 453.0]], ('Your Server was Rossy', 0.95660400390625)], [[[229.0, 458.0], [483.0, 455.0], [483.0, 481.0], [230.0, 484.0]], ('3/12/20161:13:51PM', 0.9514063596725464)], [[[231.0, 487.0], [474.0, 483.0], [474.0, 508.0], [231.0, 511.0]], ('Sequence #0000068', 0.9681475162506104)], [[[272.0, 513.0], [441.0, 511.0], [442.0, 537.0], [272.0, 539.0]], ('ID#0389450', 0.9929623603820801)], [[[88.0, 542.0], [147.0, 542.0], [147.0, 569.0], [88.0, 569.0]], ('ITEM', 0.9974298477172852)], [[[501.0, 539.0], [547.0, 539.0], [547.0, 568.0], [501.0, 568.0]], ('QTY', 0.9971421360969543)], [[[563.0, 537.0], [631.0, 537.0], [631.0, 565.0], [563.0, 565.0]], ('PRICE', 0.9982040524482727)], [[[677.0, 541.0], [781.0, 467.0], [806.0, 504.0], [702.0, 578.0]], ('alamy', 0.998162567615509)], [[[90.0, 601.0], [279.0, 598.0], [279.0, 623.0], [90.0, 626.0]], ('CAUSA DE POLLO', 0.9362773299217224)], [[[521.0, 599.0], [540.0, 599.0], [540.0, 623.0], [521.0, 623.0]], ('1', 0.9777960181236267)], [[[569.0, 597.0], [637.0, 593.0], [639.0, 619.0], [571.0, 623.0]], ('$8.95', 0.9934312105178833)], [[[90.0, 631.0], [357.0, 627.0], [358.0, 651.0], [90.0, 656.0]], ('CEVICHE DE CAMARONES', 0.9647647142410278)], [[[526.0, 628.0], [543.0, 628.0], [543.0, 650.0], [526.0, 650.0]], ('1', 0.9914681911468506)], [[[559.0, 624.0], [643.0, 621.0], [644.0, 651.0], [561.0, 655.0]], ('$16.95', 0.9898684620857239)], [[[7.0, 634.0], [30.0, 634.0], [30.0, 663.0], [7.0, 663.0]], ('a', 0.9927657842636108)], [[[89.0, 659.0], [200.0, 656.0], [201.0, 685.0], [90.0, 688.0]], ('LIMONADA', 0.9967479705810547)], [[[530.0, 659.0], [543.0, 659.0], [543.0, 678.0], [530.0, 678.0]], ('1', 0.9926438927650452)], [[[578.0, 654.0], [645.0, 654.0], [645.0, 682.0], [578.0, 682.0]], ('$4.00', 0.9973961114883423)], [[[91.0, 689.0], [324.0, 685.0], [325.0, 714.0], [92.0, 718.0]], ('PESCADO AL AJILLO', 0.9664739966392517)], [[[533.0, 688.0], [551.0, 688.0], [551.0, 709.0], [533.0, 709.0]], ('1', 0.9644500613212585)], [[[568.0, 684.0], [649.0, 682.0], [650.0, 709.0], [569.0, 711.0]], ('$15.95', 0.9967083930969238)], [[[299.0, 746.0], [411.0, 742.0], [412.0, 773.0], [300.0, 776.0]], ('Subtotal', 0.9957382082939148)], [[[577.0, 741.0], [659.0, 741.0], [659.0, 772.0], [577.0, 772.0]], ('$45.85', 0.9519572854042053)], [[[732.0, 763.0], [756.0, 763.0], [756.0, 792.0], [732.0, 792.0]], ('a', 0.995053768157959)], [[[303.0, 778.0], [454.0, 778.0], [454.0, 808.0], [303.0, 808.0]], ('Total Taxes', 0.950178861618042)], [[[592.0, 774.0], [663.0, 770.0], [664.0, 802.0], [594.0, 806.0]], ('$3.67', 0.9935135841369629)], [[[305.0, 841.0], [458.0, 838.0], [459.0, 869.0], [305.0, 872.0]], ('Grand Total', 0.9493884444236755)], [[[590.0, 834.0], [674.0, 834.0], [674.0, 866.0], [590.0, 866.0]], ('$49.52', 0.9898390769958496)], [[[589.0, 866.0], [681.0, 862.0], [683.0, 919.0], [591.0, 923.0]], ('$49.52', 0.956057071685791)], [[[292.0, 879.0], [463.0, 874.0], [465.0, 925.0], [293.0, 930.0]], ('aAmount Due', 0.8950948119163513)], [[[3.0, 895.0], [23.0, 895.0], [23.0, 919.0], [3.0, 919.0]], ('a', 0.9955772161483765)], [[[367.0, 928.0], [416.0, 928.0], [416.0, 957.0], [367.0, 957.0]], ('20%', 0.998890221118927)], [[[551.0, 919.0], [607.0, 919.0], [607.0, 953.0], [551.0, 953.0]], ('25%', 0.9781529307365417)], [[[167.0, 930.0], [218.0, 930.0], [218.0, 964.0], [167.0, 964.0]], ('15%', 0.993243396282196)], [[[355.0, 959.0], [433.0, 959.0], [433.0, 995.0], [355.0, 995.0]], ('$9.90', 0.9943763613700867)], [[[548.0, 956.0], [632.0, 951.0], [634.0, 983.0], [550.0, 988.0]], ('$12.38', 0.9959400296211243)], [[[153.0, 967.0], [231.0, 964.0], [233.0, 997.0], [155.0, 1001.0]], ('$7.43', 0.9926483035087585)], [[[430.0, 1031.0], [691.0, 1020.0], [693.0, 1049.0], [431.0, 1060.0]], ('PROPINA NO INCLUIDA', 0.9676499366760254)], [[[99.0, 1043.0], [377.0, 1033.0], [378.0, 1062.0], [100.0, 1072.0]], ('TIP IS NOT INCLUDED', 0.9415025115013123)], [[[249.0, 1075.0], [557.0, 1061.0], [559.0, 1091.0], [250.0, 1105.0]], ('THANK YOU -GRACIAS!!!', 0.9282687902450562)], [[[319.0, 1107.0], [480.0, 1098.0], [482.0, 1133.0], [320.0, 1141.0]], ('Guest Check', 0.9605384469032288)], [[[0.0, 1161.0], [61.0, 1142.0], [71.0, 1178.0], [10.0, 1196.0]], ('dre', 0.8254976272583008)], [[[583.0, 1154.0], [611.0, 1154.0], [611.0, 1180.0], [583.0, 1180.0]], ('e', 0.9537133574485779)], [[[668.0, 1170.0], [761.0, 1228.0], [746.0, 1252.0], [653.0, 1194.0]], ('marones', 0.9946681261062622)], [[[51.0, 1322.0], [97.0, 1322.0], [97.0, 1367.0], [51.0, 1367.0]], ('a', 0.9961942434310913)], [[[114.0, 1319.0], [510.0, 1319.0], [510.0, 1368.0], [114.0, 1368.0]], ('alamy stock photo', 0.9626566767692566)], [[[739.0, 1325.0], [812.0, 1325.0], [812.0, 1345.0], [739.0, 1345.0]], ('FWREE7', 0.9925658106803894)], [[[688.0, 1352.0], [813.0, 1352.0], [813.0, 1371.0], [688.0, 1371.0]], ('www.alamy.com', 0.9967786073684692)]]	{"store_name": "", "store_addr": "Miami,FL33155 7971Sw40thStreet-Suite#17", "telephone": "ph305-266-0212", "date": "3/12/2016", "time": "1:13:51PM", "subtotal": "$45.85", "tax": "$3.67", "total": "$49.52 $49.52", "ignore": " ", "tips": "$7.43 $9.90 $12.38", "line_items": [{"item_key": "", "item_name": "PESCADOALAJILLO", "item_value": "$15.95", "item_quantity": "1"}, {"item_key": "", "item_name": "LIMONADA", "item_value": "$4.00", "item_quantity": "1"}, {"item_key": "", "item_name": "CEVICHEDECAMARONES", "item_value": "$16.95", "item_quantity": "1"}, {"item_key": "", "item_name": "CAUSADEPOLLO", "item_value": "$8.95", "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	[[[[113.0, 1.0], [198.0, 0.0], [198.0, 11.0], [113.0, 12.0]], ('13490 Baselfne Ave', 0.7411545515060425)], [[[113.0, 12.0], [199.0, 10.0], [199.0, 23.0], [113.0, 25.0]], ('Fontana.CA92335', 0.9395751953125)], [[[123.0, 25.0], [189.0, 25.0], [189.0, 35.0], [123.0, 35.0]], ('(909)463-2290', 0.8856856226921082)], [[[60.0, 58.0], [180.0, 52.0], [180.0, 66.0], [61.0, 71.0]], ('Date:02-15-20159:03pa', 0.8834103941917419)], [[[190.0, 56.0], [257.0, 56.0], [257.0, 67.0], [190.0, 67.0]], ('892.0015.00174', 0.9820186495780945)], [[[83.0, 79.0], [149.0, 79.0], [149.0, 90.0], [83.0, 90.0]], ('1Bud L1ght 22', 0.8534203767776489)], [[[180.0, 74.0], [209.0, 74.0], [209.0, 102.0], [180.0, 102.0]], ('5.39', 0.5177478194236755)], [[[82.0, 90.0], [129.0, 90.0], [129.0, 101.0], [82.0, 101.0]], ('1P1ck3', 0.59159916639328)], [[[104.0, 98.0], [166.0, 98.0], [166.0, 112.0], [104.0, 112.0]], ('Loaded Skine', 0.9128785729408264)], [[[105.0, 108.0], [151.0, 108.0], [151.0, 122.0], [105.0, 122.0]], ('Mozz Stix', 0.7261045575141907)], [[[104.0, 120.0], [152.0, 120.0], [152.0, 130.0], [104.0, 130.0]], ('Hot Ninge', 0.8070330023765564)], [[[80.0, 130.0], [168.0, 128.0], [168.0, 142.0], [80.0, 143.0]], ('1 6oz Sirloin/Rib', 0.836713433265686)], [[[182.0, 130.0], [210.0, 130.0], [210.0, 143.0], [182.0, 143.0]], ('74.99', 0.8833986520767212)], [[[103.0, 141.0], [134.0, 141.0], [134.0, 155.0], [103.0, 155.0]], ('Fries', 0.9365664720535278)], [[[105.0, 154.0], [133.0, 154.0], [133.0, 165.0], [105.0, 165.0]], ('Salad', 0.9906423687934875)], [[[78.0, 166.0], [169.0, 163.0], [169.0, 176.0], [78.0, 179.0]], ('1 6oz S1r/MES Chx', 0.8546902537345886)], [[[184.0, 163.0], [212.0, 163.0], [212.0, 176.0], [184.0, 176.0]], ('24.98', 0.9790154695510864)], [[[104.0, 176.0], [178.0, 174.0], [178.0, 188.0], [104.0, 190.0]], ('Hac and Cheese', 0.9555015563964844)], [[[104.0, 189.0], [175.0, 187.0], [175.0, 200.0], [104.0, 202.0]], ('Loaded Mashed', 0.9218388795852661)], [[[78.0, 203.0], [164.0, 200.0], [164.0, 213.0], [78.0, 217.0]], ('1 Straw Lenonade', 0.9288402795791626)], [[[187.0, 197.0], [214.0, 194.0], [216.0, 209.0], [189.0, 212.0]], ('3.99', 0.9834595918655396)], [[[119.0, 214.0], [175.0, 214.0], [175.0, 227.0], [119.0, 227.0]], ('Sub-Total:', 0.9502205848693848)], [[[190.0, 210.0], [221.0, 210.0], [221.0, 223.0], [190.0, 223.0]], ('69.15', 0.975786566734314)], [[[148.0, 226.0], [174.0, 226.0], [174.0, 237.0], [148.0, 237.0]], ('Tax:', 0.9716310501098633)], [[[195.0, 223.0], [222.0, 223.0], [222.0, 236.0], [195.0, 236.0]], ('5.54', 0.9915000200271606)], [[[60.0, 240.0], [164.0, 235.0], [164.0, 249.0], [61.0, 254.0]], ('Total Due:', 0.8892931938171387)], [[[211.0, 234.0], [264.0, 231.0], [264.0, 244.0], [212.0, 246.0]], ('74.69', 0.9942768216133118)], [[[61.0, 263.0], [206.0, 256.0], [207.0, 270.0], [62.0, 277.0]], ('Duplicate#1', 0.9335976243019104)], [[[64.0, 274.0], [256.0, 267.0], [256.0, 282.0], [65.0, 289.0]], ('PBR on Draft si pints & s5 Pitchers', 0.8902568221092224)], [[[123.0, 283.0], [227.0, 282.0], [227.0, 296.0], [123.0, 297.0]], ("MONDAY and TUESDAY's", 0.9242520332336426)]]	{"store_name": "", "store_addr": "Fontana,CA92235", "telephone": "(909)463-2290", "date": "02-15-2015", "time": "9:03pm", "subtotal": "59.15", "tax": "5.54", "total": "74.69", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "BudLight22", "item_value": "3.99", "item_quantity": "1"}, {"item_key": "", "item_name": "Pick3", "item_value": "24.98", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "24.99", "item_quantity": "1"}, {"item_key": "", "item_name": "MazzStix", "item_value": "9.99", "item_quantity": "1"}, {"item_key": "", "item_name": "HotWings", "item_value": "5.20", "item_quantity": "1"}, {"item_key": "", "item_name": "6ozSirloin/Rib", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "Fries", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "Salad", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "6ozSir/MESChx", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "MacandCheese", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "LoadedMashed", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "StrawLemonade", "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	[[[[68.0, 279.0], [593.0, 263.0], [594.0, 292.0], [69.0, 307.0]], ('Tav01o24-Data 28/06/2017', 0.9103602766990662)], [[[57.0, 336.0], [197.0, 333.0], [198.0, 358.0], [57.0, 362.0]], ('Operatore:', 0.992353618144989)], [[[532.0, 386.0], [610.0, 381.0], [611.0, 412.0], [534.0, 416.0]], ('15,00', 0.9595499038696289)], [[[111.0, 396.0], [371.0, 399.0], [371.0, 424.0], [111.0, 420.0]], ('1 TAGLI.mari e mon', 0.9138112664222717)], [[[537.0, 420.0], [614.0, 416.0], [616.0, 446.0], [539.0, 451.0]], ('13,00', 0.9667710065841675)], [[[133.0, 431.0], [369.0, 429.0], [369.0, 454.0], [133.0, 457.0]], ('TAGLIAT.ALFREDO', 0.9806691408157349)], [[[541.0, 454.0], [618.0, 451.0], [619.0, 482.0], [542.0, 485.0]], ('12,00', 0.9649195671081543)], [[[129.0, 466.0], [353.0, 463.0], [354.0, 488.0], [129.0, 492.0]], ('CALAMARI FRITTI', 0.9650413393974304)], [[[554.0, 489.0], [622.0, 486.0], [623.0, 519.0], [555.0, 522.0]], ('3,00', 0.9608354568481445)], [[[102.0, 504.0], [340.0, 498.0], [341.0, 524.0], [103.0, 529.0]], ('1ACQUA NAT/0.50', 0.943041205406189)], [[[557.0, 526.0], [627.0, 522.0], [629.0, 554.0], [559.0, 558.0]], ('6,50', 0.9549391269683838)], [[[97.0, 539.0], [293.0, 532.0], [294.0, 559.0], [98.0, 566.0]], ('1BIRRA MEDIA', 0.9738683700561523)], [[[550.0, 564.0], [632.0, 560.0], [633.0, 590.0], [552.0, 595.0]], ('18,00', 0.9513517618179321)], [[[94.0, 576.0], [338.0, 569.0], [338.0, 595.0], [94.0, 602.0]], ('1 SAUVIGNON BOTT', 0.9481203556060791)], [[[567.0, 598.0], [640.0, 598.0], [640.0, 634.0], [567.0, 634.0]], ('5,00', 0.9718577861785889)], [[[88.0, 612.0], [354.0, 607.0], [355.0, 634.0], [89.0, 640.0]], ('1PROSECCO CALICE', 0.970574140548706)], [[[570.0, 639.0], [644.0, 636.0], [645.0, 673.0], [572.0, 676.0]], ('8,70', 0.9527512788772583)], [[[71.0, 652.0], [324.0, 646.0], [324.0, 676.0], [71.0, 682.0]], ('12% MAGGERASION', 0.9658671021461487)], [[[388.0, 725.0], [481.0, 725.0], [481.0, 764.0], [388.0, 764.0]], ('81,20', 0.9517447352409363)], [[[17.0, 735.0], [175.0, 735.0], [175.0, 764.0], [17.0, 764.0]], ('Sub Totale', 0.9580280184745789)], [[[15.0, 776.0], [373.0, 773.0], [373.0, 806.0], [15.0, 809.0]], ('Sconti e maggiorazioni', 0.9752991199493408)], [[[25.0, 851.0], [212.0, 851.0], [212.0, 880.0], [25.0, 880.0]], ('TOTALE', 0.9978489875793457)], [[[480.0, 848.0], [645.0, 845.0], [646.0, 874.0], [480.0, 878.0]], ('81.20', 0.9437071084976196)], [[[34.0, 913.0], [624.0, 912.0], [624.0, 938.0], [34.0, 939.0]], ('Ritirare Documento Fiscale alla Cassa', 0.963517963886261)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "28/06/2017", "time": "", "subtotal": "81,20", "tax": "", "total": "81,20", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "%MAGGERASION", "item_value": "15,00", "item_quantity": "1"}, {"item_key": "", "item_name": "PROSECCOCALICE", "item_value": "13,00", "item_quantity": "1"}, {"item_key": "", "item_name": "SAUVIGNONBOTT", "item_value": "12,00", "item_quantity": "1"}, {"item_key": "", "item_name": "BIRRAMEDIA", "item_value": "3,00", "item_quantity": "1"}, {"item_key": "", "item_name": "ACQUANAT/0.50", "item_value": "6,50", "item_quantity": "1"}, {"item_key": "", "item_name": "CALAMARIFRITTI", "item_value": "18,00", "item_quantity": "1"}, {"item_key": "", "item_name": "TAGLIAT.ALFREDO", "item_value": "5,00", "item_quantity": "1"}, {"item_key": "", "item_name": "TAGLI.mariemon", "item_value": "8,70", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[145.0, 73.0], [182.0, 73.0], [182.0, 87.0], [145.0, 87.0]], ('SSP UK', 0.8976461887359619)], [[[124.0, 84.0], [199.0, 82.0], [200.0, 99.0], [124.0, 102.0]], ('The Grain Loft', 0.9236956834793091)], [[[114.0, 94.0], [208.0, 97.0], [207.0, 114.0], [113.0, 111.0]], ('BeerWine & Food', 0.9314076900482178)], [[[139.0, 122.0], [181.0, 122.0], [181.0, 136.0], [139.0, 136.0]], ('8311138', 0.9882134199142456)], [[[59.0, 138.0], [128.0, 146.0], [127.0, 161.0], [57.0, 153.0]], ('2016 Cameron', 0.9633402824401855)], [[[52.0, 163.0], [101.0, 168.0], [100.0, 183.0], [50.0, 178.0]], ('Chk 8053', 0.9384828805923462)], [[[154.0, 171.0], [261.0, 171.0], [261.0, 184.0], [154.0, 184.0]], ("17Sep'17 20:54 Gst", 0.8989553451538086)], [[[261.0, 173.0], [271.0, 173.0], [271.0, 181.0], [261.0, 181.0]], ('0', 0.7420347332954407)], [[[74.0, 194.0], [143.0, 196.0], [143.0, 210.0], [74.0, 208.0]], ('Eat In', 0.9140089154243469)], [[[62.0, 207.0], [155.0, 209.0], [154.0, 223.0], [61.0, 221.0]], ('1 Americano 160z', 0.9009000658988953)], [[[232.0, 208.0], [259.0, 208.0], [259.0, 223.0], [232.0, 223.0]], ('2.80', 0.9956302642822266)], [[[63.0, 220.0], [155.0, 221.0], [155.0, 235.0], [62.0, 234.0]], ('1Zinf Wh1sp 250', 0.8909223079681396)], [[[233.0, 220.0], [260.0, 220.0], [260.0, 235.0], [233.0, 235.0]], ('7.95', 0.9939826726913452)], [[[72.0, 235.0], [144.0, 235.0], [144.0, 249.0], [72.0, 249.0]], ('Credit/Debit', 0.996168851852417)], [[[230.0, 234.0], [261.0, 234.0], [261.0, 249.0], [230.0, 249.0]], ('10.75', 0.9906265139579773)], [[[71.0, 276.0], [143.0, 276.0], [143.0, 290.0], [71.0, 290.0]], ('1.79VAT TTL', 0.9457723498344421)], [[[232.0, 274.0], [266.0, 274.0], [266.0, 289.0], [232.0, 289.0]], ('10.75', 0.9940125346183777)], [[[70.0, 292.0], [114.0, 292.0], [114.0, 306.0], [70.0, 306.0]], ('Net TTL', 0.9460325837135315)], [[[239.0, 289.0], [267.0, 289.0], [267.0, 305.0], [239.0, 305.0]], ("96'8", 0.8979076743125916)], [[[69.0, 307.0], [118.0, 307.0], [118.0, 321.0], [69.0, 321.0]], ('Subtotal', 0.988345742225647)], [[[236.0, 304.0], [267.0, 304.0], [267.0, 319.0], [236.0, 319.0]], ('10.75', 0.9942777752876282)], [[[68.0, 323.0], [114.0, 323.0], [114.0, 338.0], [68.0, 338.0]], ('Payment', 0.9970203042030334)], [[[236.0, 319.0], [268.0, 319.0], [268.0, 334.0], [236.0, 334.0]], ('10.75', 0.9925387501716614)], [[[91.0, 368.0], [235.0, 366.0], [235.0, 383.0], [91.0, 385.0]], ('VAT NUMBER884 2579 78', 0.9250519871711731)]]	{"store_name": "SSPUK TheGrainLoft", "store_addr": "ManchesterAirport-T1Airside 8311138", "telephone": "", "date": "17Sep'17", "time": "20:54", "subtotal": "8.96", "tax": "", "total": "10.75 10.75", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "Americano16oz", "item_value": "2.80", "item_quantity": "1"}, {"item_key": "", "item_name": "ZinfWhisp250", "item_value": "7.95", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[87.0, 70.0], [183.0, 72.0], [182.0, 94.0], [86.0, 91.0]], ('La Maree', 0.9552081823348999)], [[[6.0, 105.0], [62.0, 105.0], [62.0, 133.0], [6.0, 133.0]], ('TAFELNR', 0.9558844566345215)], [[[215.0, 108.0], [239.0, 108.0], [239.0, 134.0], [215.0, 134.0]], ('1.0', 0.9686416983604431)], [[[9.0, 131.0], [41.0, 131.0], [41.0, 146.0], [9.0, 146.0]], ('OBER', 0.9129856824874878)], [[[206.0, 129.0], [238.0, 132.0], [236.0, 148.0], [204.0, 145.0]], ('Sacha', 0.9897533655166626)], [[[12.0, 160.0], [101.0, 160.0], [101.0, 174.0], [12.0, 174.0]], ('Maandwijn W1t 2', 0.7856309413909912)], [[[206.0, 160.0], [238.0, 160.0], [238.0, 175.0], [206.0, 175.0]], ('21,00', 0.9107797741889954)], [[[13.0, 175.0], [107.0, 175.0], [107.0, 188.0], [13.0, 188.0]], ('50C1 Chaudf P1at', 0.8887051939964294)], [[[209.0, 175.0], [238.0, 175.0], [238.0, 190.0], [209.0, 190.0]], ('4.95', 0.9103944897651672)], [[[15.0, 189.0], [117.0, 189.0], [117.0, 202.0], [15.0, 202.0]], ('VG2 Garnaa lkroket', 0.9289567470550537)], [[[207.0, 188.0], [238.0, 188.0], [238.0, 203.0], [207.0, 203.0]], ('15,00', 0.9248534440994263)], [[[15.0, 203.0], [101.0, 203.0], [101.0, 217.0], [15.0, 217.0]], ('VG 1 Kaaskroket', 0.9462364912033081)], [[[208.0, 203.0], [236.0, 200.0], [238.0, 215.0], [210.0, 218.0]], ('6,50', 0.9013588428497314)], [[[13.0, 217.0], [92.0, 217.0], [92.0, 231.0], [13.0, 231.0]], ('Divers Keuken', 0.9282651543617249)], [[[207.0, 216.0], [237.0, 216.0], [237.0, 231.0], [207.0, 231.0]], ('17.00', 0.9638758897781372)], [[[13.0, 231.0], [113.0, 231.0], [113.0, 245.0], [13.0, 245.0]], ('Mosse len Lookroom', 0.9129960536956787)], [[[138.0, 231.0], [194.0, 231.0], [194.0, 245.0], [138.0, 245.0]], ('2X24.00', 0.9169073104858398)], [[[206.0, 231.0], [238.0, 231.0], [238.0, 245.0], [206.0, 245.0]], ('48,00', 0.9254550933837891)], [[[13.0, 244.0], [123.0, 245.0], [123.0, 259.0], [13.0, 258.0]], ('Visvangst Normd W1j', 0.9428674578666687)], [[[206.0, 245.0], [238.0, 245.0], [238.0, 260.0], [206.0, 260.0]], ('25,00', 0.9180987477302551)], [[[14.0, 274.0], [107.0, 274.0], [107.0, 298.0], [14.0, 298.0]], ('Totaal :', 0.9253075122833252)], [[[162.0, 274.0], [233.0, 274.0], [233.0, 300.0], [162.0, 300.0]], ('137,45', 0.9455757737159729)], [[[13.0, 311.0], [62.0, 311.0], [62.0, 325.0], [13.0, 325.0]], ('Exc1.BTW', 0.8519847393035889)], [[[76.0, 312.0], [102.0, 312.0], [102.0, 324.0], [76.0, 324.0]], ('BTW%', 0.9031007289886475)], [[[114.0, 309.0], [177.0, 312.0], [177.0, 327.0], [114.0, 324.0]], ('BTWbedrag', 0.9789305925369263)], [[[189.0, 312.0], [239.0, 312.0], [239.0, 326.0], [189.0, 326.0]], ('Inc1.BTW', 0.8276442885398865)], [[[28.0, 326.0], [63.0, 326.0], [63.0, 341.0], [28.0, 341.0]], ('21.45', 0.9218237996101379)], [[[73.0, 325.0], [98.0, 325.0], [98.0, 341.0], [73.0, 341.0]], ('21%', 0.9397077560424805)], [[[149.0, 325.0], [177.0, 325.0], [177.0, 341.0], [149.0, 341.0]], ('4,50', 0.8691039681434631)], [[[206.0, 326.0], [239.0, 326.0], [239.0, 342.0], [206.0, 342.0]], ('25.95', 0.890070915222168)], [[[28.0, 342.0], [63.0, 342.0], [63.0, 357.0], [28.0, 357.0]], ('99,55', 0.9415491819381714)], [[[72.0, 341.0], [97.0, 341.0], [97.0, 356.0], [72.0, 356.0]], ('12%', 0.815471887588501)], [[[146.0, 340.0], [177.0, 340.0], [177.0, 356.0], [146.0, 356.0]], ('11,95', 0.9231709241867065)], [[[201.0, 341.0], [239.0, 341.0], [239.0, 356.0], [201.0, 356.0]], ('111,50', 0.9604323506355286)], [[[81.0, 370.0], [172.0, 372.0], [172.0, 387.0], [81.0, 385.0]], ('20-07-1521:38', 0.9665445685386658)], [[[79.0, 403.0], [195.0, 404.0], [195.0, 419.0], [79.0, 418.0]], ('Dank u en tot ziens', 0.9145342111587524)]]	{"store_name": "LaMaree", "store_addr": "", "telephone": "", "date": "20-07-15", "time": "21:38", "subtotal": "", "tax": "11.95 4,50", "total": "137,45", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "VisvangstNormdWij", "item_value": "21,00", "item_quantity": "1"}, {"item_key": "", "item_name": "MosselenLookroom", "item_value": "4,95", "item_quantity": "1"}, {"item_key": "", "item_name": "DiversKeuken", "item_value": "15,00", "item_quantity": "1"}, {"item_key": "", "item_name": "VG1Kaaskroket", "item_value": "6,50", "item_quantity": "1"}, {"item_key": "", "item_name": "VG2Garnaalkroket", "item_value": "17,00", "item_quantity": "1"}, {"item_key": "", "item_name": "50ClChaudfPlat", "item_value": "48,00", "item_quantity": "1"}, {"item_key": "", "item_name": "MaandwijnWit2", "item_value": "25,00", "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	[[[[222.0, 8.0], [530.0, 5.0], [530.0, 37.0], [223.0, 41.0]], ('8515 124TH AVENE', 0.928106427192688)], [[[296.0, 49.0], [444.0, 47.0], [444.0, 82.0], [296.0, 85.0]], ('KIRKLAND', 0.9945394992828369)], [[[351.0, 92.0], [393.0, 92.0], [393.0, 127.0], [351.0, 127.0]], ('WA', 0.997266411781311)], [[[281.0, 137.0], [464.0, 134.0], [464.0, 170.0], [281.0, 172.0]], ('98033-5857', 0.9915518760681152)], [[[193.0, 184.0], [574.0, 177.0], [575.0, 212.0], [193.0, 219.0]], ('THANK YOU', 0.9342538118362427)], [[[82.0, 229.0], [670.0, 216.0], [671.0, 256.0], [83.0, 269.0]], ('TEL#425822 3366 Store10993', 0.9198817610740662)], [[[26.0, 363.0], [144.0, 359.0], [146.0, 402.0], [28.0, 406.0]], ('KS#13', 0.9382727742195129)], [[[362.0, 359.0], [746.0, 349.0], [748.0, 388.0], [363.0, 398.0]], ("Dec.21'13 (Sat)19:39", 0.8784144520759583)], [[[34.0, 454.0], [476.0, 445.0], [477.0, 483.0], [35.0, 493.0]], ('MFY SIDE 1 KVS Order 09', 0.8921295404434204)], [[[662.0, 525.0], [757.0, 525.0], [757.0, 568.0], [662.0, 568.0]], ('TOTAL', 0.998528778553009)], [[[35.0, 543.0], [187.0, 539.0], [188.0, 576.0], [36.0, 579.0]], ('QTY ITEM', 0.9304255247116089)], [[[677.0, 570.0], [759.0, 566.0], [762.0, 609.0], [679.0, 613.0]], ('4.59', 0.9631513357162476)], [[[75.0, 586.0], [444.0, 580.0], [444.0, 616.0], [76.0, 621.0]], ('1 Qtr Pounder Cheese', 0.9253638982772827)], [[[679.0, 614.0], [761.0, 614.0], [761.0, 653.0], [679.0, 653.0]], ('8.78', 0.8716872334480286)], [[[74.0, 631.0], [338.0, 626.0], [338.0, 661.0], [75.0, 667.0]], ('2Filet-0-Fish', 0.9529237747192383)], [[[683.0, 659.0], [764.0, 659.0], [764.0, 699.0], [683.0, 699.0]], ('2.39', 0.9336203336715698)], [[[78.0, 676.0], [374.0, 671.0], [374.0, 706.0], [79.0, 712.0]], ('1 L French Fries', 0.9248864054679871)], [[[686.0, 702.0], [767.0, 702.0], [767.0, 745.0], [686.0, 745.0]], ('1.79', 0.9804437756538391)], [[[81.0, 722.0], [376.0, 715.0], [377.0, 751.0], [82.0, 758.0]], ('1M French Fries', 0.9376608729362488)], [[[673.0, 793.0], [771.0, 793.0], [771.0, 835.0], [673.0, 835.0]], ('17.55', 0.9593601226806641)], [[[41.0, 812.0], [192.0, 807.0], [193.0, 846.0], [42.0, 851.0]], ('Subtotal', 0.9917547106742859)], [[[691.0, 839.0], [773.0, 839.0], [773.0, 882.0], [691.0, 882.0]], ('1.67', 0.9679619669914246)], [[[79.0, 855.0], [144.0, 855.0], [144.0, 897.0], [79.0, 897.0]], ('Tax', 0.9970851540565491)], [[[679.0, 929.0], [779.0, 929.0], [779.0, 975.0], [679.0, 975.0]], ('19.22', 0.9421237111091614)], [[[48.0, 949.0], [305.0, 939.0], [307.0, 979.0], [50.0, 989.0]], ('Take-Out Total', 0.9597412347793579)]]	{"store_name": "", "store_addr": "8515124THAVENE KIRKLAND WA 98033-5857", "telephone": "4258223366", "date": "Dec.21'13(Sat)", "time": "19:39", "subtotal": "17.55", "tax": "1.67", "total": "19.22", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "QtrPounderCheese", "item_value": "4.59", "item_quantity": "1"}, {"item_key": "", "item_name": "Filet-O-Fish", "item_value": "8.78", "item_quantity": "1"}, {"item_key": "", "item_name": "LFrenchFries", "item_value": "2.39", "item_quantity": "1"}, {"item_key": "", "item_name": "MFrenchFries", "item_value": "1.79", "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	[[[[470.0, 58.0], [711.0, 101.0], [701.0, 158.0], [460.0, 115.0]], ('TARGET', 0.9968577027320862)], [[[468.0, 117.0], [691.0, 158.0], [687.0, 180.0], [464.0, 139.0]], ('EXPECT MORE.PAY LESS:', 0.9304753541946411)], [[[263.0, 161.0], [791.0, 269.0], [785.0, 298.0], [257.0, 190.0]], ('01/05/2015 05:41 PMEXPIRES04/05/15', 0.938494861125946)], [[[351.0, 154.0], [695.0, 223.0], [690.0, 249.0], [346.0, 180.0]], ('LEXINGT0N-859-273-9403', 0.9614741802215576)], [[[182.0, 289.0], [294.0, 311.0], [289.0, 337.0], [177.0, 315.0]], ('CLOTHING', 0.9981859922409058)], [[[177.0, 314.0], [301.0, 340.0], [296.0, 365.0], [171.0, 340.0]], ('018000209', 0.9985339045524597)], [[[171.0, 340.0], [297.0, 366.0], [292.0, 392.0], [166.0, 365.0]], ('018000298', 0.9978383183479309)], [[[396.0, 362.0], [551.0, 393.0], [546.0, 418.0], [391.0, 388.0]], ('ME TANK TOP', 0.9221609234809875)], [[[391.0, 388.0], [547.0, 421.0], [541.0, 446.0], [386.0, 413.0]], ('ME TEE SHIR', 0.9446789026260376)], [[[374.0, 412.0], [682.0, 478.0], [677.0, 504.0], [368.0, 438.0]], ('Saved $5.00 off $12.00', 0.932612955570221)], [[[606.0, 412.0], [620.0, 414.0], [617.0, 434.0], [603.0, 431.0]], ('I', 0.6720350980758667)], [[[185.0, 426.0], [213.0, 426.0], [213.0, 454.0], [185.0, 454.0]], ('SC', 0.8950687050819397)], [[[677.0, 420.0], [756.0, 435.0], [750.0, 466.0], [671.0, 450.0]], ('$5.00', 0.9975918531417847)], [[[200.0, 453.0], [274.0, 466.0], [270.0, 494.0], [195.0, 481.0]], ('008631', 0.8837006688117981)], [[[671.0, 449.0], [751.0, 465.0], [745.0, 492.0], [665.0, 476.0]], ('$7.00', 0.9986611604690552)], [[[365.0, 490.0], [521.0, 523.0], [516.0, 549.0], [360.0, 516.0]], ('MSC TANK TO', 0.9396377205848694)], [[[194.0, 503.0], [262.0, 517.0], [257.0, 544.0], [188.0, 531.0]], ('30278', 0.9991733431816101)], [[[346.0, 512.0], [563.0, 560.0], [557.0, 586.0], [341.0, 538.0]], ('Saved $3.00 off', 0.9498244524002075)], [[[181.0, 528.0], [254.0, 542.0], [249.0, 569.0], [175.0, 554.0]], ('J30301', 0.9924578070640564)], [[[353.0, 540.0], [509.0, 575.0], [504.0, 599.0], [347.0, 565.0]], ('MB PULLOVER', 0.9560146927833557)], [[[573.0, 540.0], [591.0, 540.0], [591.0, 563.0], [573.0, 563.0]], ('T', 0.7722980976104736)], [[[166.0, 551.0], [250.0, 568.0], [245.0, 596.0], [161.0, 579.0]], ('030307', 0.9985103011131287)], [[[567.0, 561.0], [646.0, 580.0], [640.0, 607.0], [561.0, 588.0]], ('$9.00', 0.9973160028457642)], [[[647.0, 553.0], [727.0, 570.0], [721.0, 598.0], [641.0, 581.0]], ('$6.00', 0.9978720545768738)], [[[347.0, 564.0], [504.0, 598.0], [499.0, 623.0], [342.0, 590.0]], ('MB PULLOVER', 0.9515357613563538)], [[[343.0, 592.0], [500.0, 625.0], [494.0, 650.0], [338.0, 617.0]], ('MB PULLOVER', 0.9595674872398376)], [[[635.0, 604.0], [715.0, 620.0], [710.0, 647.0], [630.0, 631.0]], ('$9.98', 0.9959721565246582)], [[[562.0, 614.0], [577.0, 620.0], [568.0, 641.0], [553.0, 634.0]], ('T', 0.8747914433479309)], [[[142.0, 624.0], [460.0, 695.0], [453.0, 723.0], [136.0, 652.0]], ('T=KYTAX6.0000%on', 0.9116942882537842)], [[[616.0, 627.0], [709.0, 645.0], [704.0, 671.0], [611.0, 653.0]], ('$13.98', 0.9977042078971863)], [[[553.0, 641.0], [570.0, 641.0], [570.0, 665.0], [553.0, 665.0]], ('T', 0.9788581728935242)], [[[611.0, 652.0], [703.0, 671.0], [697.0, 698.0], [605.0, 679.0]], ('$13.98', 0.9981244206428528)], [[[446.0, 666.0], [555.0, 691.0], [549.0, 717.0], [440.0, 693.0]], ('SUBTOTAL', 0.9968670606613159)], [[[464.0, 699.0], [555.0, 717.0], [550.0, 743.0], [459.0, 725.0]], ('$55.94', 0.9927039742469788)], [[[600.0, 701.0], [693.0, 720.0], [687.0, 749.0], [594.0, 731.0]], ('$55.94', 0.9967093467712402)], [[[477.0, 727.0], [548.0, 742.0], [542.0, 770.0], [471.0, 756.0]], ('TOTAL', 0.9976946115493774)], [[[609.0, 731.0], [686.0, 747.0], [680.0, 775.0], [603.0, 759.0]], ('$3.36', 0.989714503288269)], [[[371.0, 756.0], [536.0, 791.0], [531.0, 818.0], [365.0, 782.0]], ('CASH PAYMENT', 0.9674327969551086)], [[[588.0, 754.0], [680.0, 774.0], [675.0, 801.0], [583.0, 781.0]], ('$59.30', 0.9965362548828125)], [[[393.0, 788.0], [532.0, 818.0], [526.0, 845.0], [387.0, 814.0]], ('CHANGE DUE', 0.9628115892410278)], [[[250.0, 805.0], [509.0, 865.0], [503.0, 890.0], [244.0, 830.0]], ('INDICATES SAVINGS', 0.9780660271644592)], [[[578.0, 801.0], [670.0, 821.0], [663.0, 851.0], [572.0, 831.0]], ('$60.00', 0.9958736896514893)], [[[587.0, 831.0], [664.0, 847.0], [658.0, 875.0], [581.0, 859.0]], ('$0.70', 0.9932973980903625)], [[[198.0, 922.0], [514.0, 992.0], [508.0, 1020.0], [192.0, 950.0]], ('TOTAL SAVINGS THIS TRIP', 0.961898148059845)], [[[327.0, 979.0], [398.0, 995.0], [393.0, 1018.0], [322.0, 1002.0]], ('$8.00', 0.996747612953186)]]	{"store_name": "TARGET", "store_addr": "LEXINGTON", "telephone": "859-273-9403", "date": "01/05/2015", "time": "05:41PM", "subtotal": "$55.94 $55.94", "tax": "$3.36", "total": "$59.30", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "METANKTOP", "item_value": "$5.00", "item_quantity": "1"}, {"item_key": "", "item_name": "METEESHIR", "item_value": "$7.00", "item_quantity": "1"}, {"item_key": "", "item_name": "MSCTANKTO", "item_value": "$6.00", "item_quantity": "1"}, {"item_key": "", "item_name": "MBPULLOVER", "item_value": "$9.98", "item_quantity": "1"}, {"item_key": "", "item_name": "MBPULLOVER", "item_value": "$13.98", "item_quantity": "1"}, {"item_key": "", "item_name": "NBPULLOVER", "item_value": "$13.98", "item_quantity": "1"}, {"item_key": "CLOTHING", "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	[[[[963.0, 432.0], [1433.0, 432.0], [1433.0, 513.0], [963.0, 513.0]], ('Berghote1', 0.9100791215896606)], [[[798.0, 509.0], [1642.0, 531.0], [1639.0, 633.0], [795.0, 611.0]], ('Grosse Scheidegg', 0.9858312010765076)], [[[905.0, 618.0], [1478.0, 626.0], [1477.0, 697.0], [904.0, 690.0]], ('3818 Grindelwald', 0.955866813659668)], [[[908.0, 721.0], [1471.0, 721.0], [1471.0, 792.0], [908.0, 792.0]], ('Fami lie R.Muller', 0.9327260851860046)], [[[376.0, 918.0], [838.0, 918.0], [838.0, 989.0], [376.0, 989.0]], ('Rech.Nr.4572', 0.987455427646637)], [[[1224.0, 918.0], [1892.0, 922.0], [1891.0, 993.0], [1224.0, 989.0]], ('30.07.2007/13:29:17', 0.9647621512413025)], [[[366.0, 1004.0], [491.0, 1019.0], [480.0, 1101.0], [355.0, 1086.0]], ('Bar', 0.9924857020378113)], [[[1470.0, 1012.0], [1670.0, 1021.0], [1667.0, 1099.0], [1466.0, 1090.0]], ('Tisch', 0.9953649640083313)], [[[1742.0, 1020.0], [1899.0, 1020.0], [1899.0, 1095.0], [1742.0, 1095.0]], ('7/01', 0.9983931183815002)], [[[410.0, 1221.0], [1019.0, 1221.0], [1019.0, 1289.0], [410.0, 1289.0]], ('2xL.atte Macchiato', 0.9456568956375122)], [[[1103.0, 1223.0], [1159.0, 1215.0], [1171.0, 1286.0], [1115.0, 1295.0]], ('a', 0.9766693115234375)], [[[1255.0, 1214.0], [1415.0, 1214.0], [1415.0, 1292.0], [1255.0, 1292.0]], ('4.50', 0.9944121241569519)], [[[1471.0, 1221.0], [1586.0, 1221.0], [1586.0, 1295.0], [1471.0, 1295.0]], ('CHF', 0.9851200580596924)], [[[1714.0, 1217.0], [1871.0, 1217.0], [1871.0, 1292.0], [1714.0, 1292.0]], ('9.00', 0.9974426031112671)], [[[414.0, 1312.0], [661.0, 1312.0], [661.0, 1387.0], [414.0, 1387.0]], ('1xGloki', 0.8635511994361877)], [[[1252.0, 1309.0], [1415.0, 1309.0], [1415.0, 1387.0], [1252.0, 1387.0]], ('5.00', 0.9967978000640869)], [[[1471.0, 1312.0], [1586.0, 1312.0], [1586.0, 1387.0], [1471.0, 1387.0]], ('CHF', 0.9886943697929382)], [[[1711.0, 1309.0], [1871.0, 1309.0], [1871.0, 1387.0], [1711.0, 1387.0]], ('5.00', 0.9958864450454712)], [[[1221.0, 1401.0], [1419.0, 1401.0], [1419.0, 1486.0], [1221.0, 1486.0]], ('22.00', 0.9954580068588257)], [[[1120.0, 1414.0], [1161.0, 1414.0], [1161.0, 1472.0], [1120.0, 1472.0]], ('a', 0.9859922528266907)], [[[1471.0, 1411.0], [1586.0, 1411.0], [1586.0, 1479.0], [1471.0, 1479.0]], ('CHF', 0.9864837527275085)], [[[1683.0, 1408.0], [1871.0, 1408.0], [1871.0, 1482.0], [1683.0, 1482.0]], ('22.00', 0.9963094592094421)], [[[424.0, 1418.0], [1047.0, 1418.0], [1047.0, 1476.0], [424.0, 1476.0]], ('1xSchweinschnitzel', 0.9861347675323486)], [[[421.0, 1510.0], [873.0, 1510.0], [873.0, 1578.0], [421.0, 1578.0]], ('1xChasspatzli', 0.9834422469139099)], [[[1227.0, 1503.0], [1415.0, 1503.0], [1415.0, 1578.0], [1227.0, 1578.0]], ('18.50', 0.9967770576477051)], [[[1474.0, 1506.0], [1589.0, 1506.0], [1589.0, 1581.0], [1474.0, 1581.0]], ('CHF', 0.9919395446777344)], [[[1693.0, 1503.0], [1874.0, 1503.0], [1874.0, 1581.0], [1693.0, 1581.0]], ('18.50', 0.9964568018913269)], [[[1123.0, 1513.0], [1168.0, 1513.0], [1168.0, 1571.0], [1123.0, 1571.0]], ('a', 0.9888829588890076)], [[[1540.0, 1693.0], [1819.0, 1693.0], [1819.0, 1792.0], [1540.0, 1792.0]], ('54.50', 0.9471505880355835)], [[[835.0, 1710.0], [1092.0, 1710.0], [1092.0, 1795.0], [835.0, 1795.0]], ('Total :', 0.987510621547699)], [[[1224.0, 1707.0], [1346.0, 1707.0], [1346.0, 1792.0], [1224.0, 1792.0]], ('CHF', 0.994665801525116)], [[[1509.0, 1897.0], [1676.0, 1897.0], [1676.0, 1986.0], [1509.0, 1986.0]], ('3.85', 0.9958688616752625)], [[[372.0, 1911.0], [918.0, 1911.0], [918.0, 1979.0], [372.0, 1979.0]], ('Inc1. 7.6% MwSt', 0.8965123891830444)], [[[1012.0, 1907.0], [1374.0, 1907.0], [1374.0, 1979.0], [1012.0, 1979.0]], ('54.50CHF', 0.9951373338699341)], [[[372.0, 2118.0], [1043.0, 2118.0], [1043.0, 2186.0], [372.0, 2186.0]], ('Entspricht in Euro', 0.9695066809654236)], [[[1123.0, 2111.0], [1492.0, 2111.0], [1492.0, 2183.0], [1123.0, 2183.0]], ('36.33EUR', 0.9942748546600342)], [[[369.0, 2217.0], [1196.0, 2217.0], [1196.0, 2285.0], [369.0, 2285.0]], ('Es bediente Sie: Ursula', 0.942812979221344)], [[[907.0, 2418.0], [1526.0, 2414.0], [1527.0, 2485.0], [908.0, 2489.0]], ('MwSt Nr.: 430 234', 0.9136481285095215)], [[[842.0, 2519.0], [1530.0, 2519.0], [1530.0, 2591.0], [842.0, 2591.0]], ('Tel.:0338536716', 0.9423456788063049)], [[[838.0, 2618.0], [1529.0, 2611.0], [1530.0, 2689.0], [839.0, 2696.0]], ('Fax.:033 853 6719', 0.9248644709587097)], [[[476.0, 2720.0], [1704.0, 2717.0], [1704.0, 2788.0], [477.0, 2791.0]], ('E-mail: [email protected]', 0.9610598087310791)]]	{"store_name": "Berghotel GrosseScheidegg", "store_addr": "3818Grindelwald", "telephone": "0338536716", "date": "30.07.2007/", "time": "13:29:17", "subtotal": "", "tax": "3.85", "total": "54.50", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "LatteMacchiato", "item_value": "9.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Gloki", "item_value": "5.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Schweinschnitzel", "item_value": "22.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "18.50", "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	[[[[57.0, 32.0], [156.0, 30.0], [157.0, 44.0], [58.0, 46.0]], ('Caroline Ale House', 0.8991020917892456)], [[[80.0, 46.0], [131.0, 46.0], [131.0, 57.0], [80.0, 57.0]], ('Charlotte', 0.988036036491394)], [[[53.0, 56.0], [190.0, 51.0], [190.0, 68.0], [53.0, 74.0]], ('0292 Table 171 #Party 1', 0.9153012037277222)], [[[56.0, 70.0], [121.0, 70.0], [121.0, 81.0], [56.0, 81.0]], ('RENAET', 0.9074907898902893)], [[[115.0, 69.0], [251.0, 61.0], [252.0, 75.0], [116.0, 83.0]], ('SvrCk11 9:33p01/24/17', 0.9348117113113403)], [[[55.0, 94.0], [142.0, 93.0], [142.0, 107.0], [55.0, 109.0]], ('1 Victory Golden', 0.898953378200531)], [[[244.0, 87.0], [270.0, 87.0], [270.0, 102.0], [244.0, 102.0]], ('6.00', 0.8878989815711975)], [[[55.0, 108.0], [151.0, 106.0], [151.0, 120.0], [55.0, 122.0]], ('1Brisket Quesadii', 0.9320023655891418)], [[[243.0, 101.0], [271.0, 101.0], [271.0, 117.0], [243.0, 117.0]], ('9.49', 0.9827096462249756)], [[[160.0, 131.0], [215.0, 131.0], [215.0, 145.0], [160.0, 145.0]], ('Sub Total:', 0.887541651725769)], [[[241.0, 127.0], [271.0, 127.0], [271.0, 142.0], [241.0, 142.0]], ('15.49', 0.9891315698623657)], [[[202.0, 144.0], [226.0, 144.0], [226.0, 156.0], [202.0, 156.0]], ('Tax:', 0.9416531920433044)], [[[246.0, 141.0], [270.0, 141.0], [270.0, 153.0], [246.0, 153.0]], ('1.27', 0.9789097309112549)], [[[239.0, 154.0], [271.0, 151.0], [272.0, 166.0], [240.0, 169.0]], ('16.76', 0.9452013969421387)], [[[55.0, 170.0], [154.0, 170.0], [154.0, 183.0], [55.0, 183.0]], ('01/2410:38pT0TAL', 0.9037868976593018)], [[[162.0, 169.0], [196.0, 169.0], [196.0, 183.0], [162.0, 183.0]], ('16.76', 0.9338138699531555)], [[[59.0, 196.0], [157.0, 195.0], [158.0, 209.0], [59.0, 210.0]], ('Quench your thirst', 0.9570596218109131)], [[[55.0, 210.0], [157.0, 210.0], [157.0, 223.0], [55.0, 223.0]], ('with our line up of', 0.9185958504676819)], [[[59.0, 222.0], [157.0, 221.0], [158.0, 235.0], [60.0, 236.0]], ('local craft brews!', 0.8734273910522461)], [[[52.0, 249.0], [158.0, 247.0], [159.0, 261.0], [52.0, 263.0]], ('pi tcher,bucket and', 0.9000555276870728)], [[[72.0, 262.0], [141.0, 262.0], [141.0, 276.0], [72.0, 276.0]], ('128oz towers!', 0.9320539832115173)], [[[80.0, 287.0], [132.0, 285.0], [133.0, 300.0], [80.0, 303.0]], ('ALE YEAH!', 0.9345446825027466)], [[[130.0, 328.0], [176.0, 328.0], [176.0, 343.0], [130.0, 343.0]], ('AMT-TEND', 0.9563521146774292)], [[[189.0, 328.0], [229.0, 328.0], [229.0, 343.0], [189.0, 343.0]], ('CHANGE', 0.996934711933136)], [[[223.0, 328.0], [266.0, 328.0], [266.0, 343.0], [223.0, 343.0]], ('TALLY', 0.9782364964485168)], [[[51.0, 344.0], [78.0, 344.0], [78.0, 359.0], [51.0, 359.0]], ('CASH', 0.9974973201751709)], [[[145.0, 343.0], [177.0, 343.0], [177.0, 358.0], [145.0, 358.0]], ('16.76', 0.9821907877922058)], [[[200.0, 343.0], [228.0, 343.0], [228.0, 358.0], [200.0, 358.0]], ('0.00', 0.9924652576446533)], [[[247.0, 344.0], [278.0, 344.0], [278.0, 358.0], [247.0, 358.0]], ('16.76', 0.9841580390930176)], [[[146.0, 372.0], [177.0, 372.0], [177.0, 386.0], [146.0, 386.0]], ('16.76', 0.9886415600776672)], [[[249.0, 369.0], [281.0, 372.0], [280.0, 388.0], [247.0, 385.0]], ('16.76', 0.9924516677856445)], [[[51.0, 387.0], [136.0, 387.0], [136.0, 401.0], [51.0, 401.0]], ('01/24/1710:38p', 0.9309414625167847)]]	{"store_name": "CarolineAleHouse", "store_addr": "Charlotte", "telephone": "", "date": "01/24/17 01/24 01/24/17", "time": "10:38p 10:38p", "subtotal": "15.49", "tax": "1.27", "total": "16.76 16.76 16.76", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "VictoryGolden", "item_value": "9.49", "item_quantity": "1"}, {"item_key": "", "item_name": "BrisketQuesadil", "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	[[[[50.0, 3.0], [196.0, 5.0], [196.0, 23.0], [49.0, 21.0]], ('Shady Grove', 0.9493245482444763)], [[[94.0, 21.0], [166.0, 23.0], [166.0, 37.0], [94.0, 35.0]], ('Restaurant', 0.9968807101249695)], [[[50.0, 34.0], [211.0, 37.0], [211.0, 55.0], [49.0, 52.0]], ('1624 Barton Spr ings Road', 0.956007719039917)], [[[69.0, 53.0], [184.0, 55.0], [184.0, 69.0], [69.0, 67.0]], ('AustinTX 78704', 0.9482460618019104)], [[[88.0, 68.0], [170.0, 71.0], [170.0, 86.0], [88.0, 84.0]], ('512-474-9991', 0.9927234053611755)], [[[210.0, 102.0], [262.0, 102.0], [262.0, 119.0], [210.0, 119.0]], ('1417', 0.9986825585365295)], [[[0.0, 113.0], [106.0, 115.0], [106.0, 134.0], [0.0, 131.0]], ('DAYINX', 0.9844303131103516)], [[[170.0, 119.0], [206.0, 119.0], [206.0, 135.0], [170.0, 135.0]], ('Table', 0.9961581230163574)], [[[237.0, 119.0], [262.0, 119.0], [262.0, 136.0], [237.0, 136.0]], ('14', 0.9994001388549805)], [[[0.0, 135.0], [132.0, 135.0], [132.0, 149.0], [0.0, 149.0]], ('Wed11/26/03 4:29PM', 0.9170137047767639)], [[[168.0, 136.0], [211.0, 136.0], [211.0, 151.0], [168.0, 151.0]], ('Guests', 0.9954838156700134)], [[[247.0, 137.0], [262.0, 137.0], [262.0, 151.0], [247.0, 151.0]], ('O', 0.5327929854393005)], [[[11.0, 166.0], [79.0, 166.0], [79.0, 180.0], [11.0, 180.0]], ('1 SODA/TEA', 0.9347074627876282)], [[[154.0, 167.0], [186.0, 167.0], [186.0, 182.0], [154.0, 182.0]], ('1.50', 0.9937365651130676)], [[[12.0, 182.0], [107.0, 182.0], [107.0, 197.0], [12.0, 197.0]], ('1 HIPPIE PLATE', 0.9420569539070129)], [[[155.0, 182.0], [185.0, 182.0], [185.0, 198.0], [155.0, 198.0]], ('5.59', 0.9977809190750122)], [[[10.0, 197.0], [126.0, 198.0], [126.0, 213.0], [10.0, 212.0]], ('1PEANUT DRESSI', 0.9564626812934875)], [[[154.0, 199.0], [186.0, 199.0], [186.0, 214.0], [154.0, 214.0]], ('0.00', 0.9957281351089478)], [[[12.0, 212.0], [94.0, 215.0], [94.0, 230.0], [12.0, 228.0]], ('1SOUP/SALAD', 0.9670324921607971)], [[[155.0, 214.0], [186.0, 214.0], [186.0, 231.0], [155.0, 231.0]], ('6.29', 0.9913541674613953)], [[[4.0, 231.0], [41.0, 231.0], [41.0, 245.0], [4.0, 245.0]], ('1', 0.6323270797729492)], [[[37.0, 231.0], [75.0, 231.0], [75.0, 245.0], [37.0, 245.0]], ('CHILI', 0.9936681985855103)], [[[156.0, 230.0], [187.0, 232.0], [186.0, 249.0], [155.0, 246.0]], ('0.00', 0.9948042631149292)], [[[14.0, 249.0], [26.0, 249.0], [26.0, 258.0], [14.0, 258.0]], ('1', 0.8482928276062012)], [[[37.0, 248.0], [94.0, 248.0], [94.0, 262.0], [37.0, 262.0]], ('JALAPENO', 0.9819597005844116)], [[[156.0, 248.0], [187.0, 248.0], [187.0, 264.0], [156.0, 264.0]], ('0.00', 0.9960749745368958)], [[[143.0, 279.0], [200.0, 279.0], [200.0, 296.0], [143.0, 296.0]], ('SuoTotal', 0.9588935971260071)], [[[230.0, 280.0], [265.0, 280.0], [265.0, 295.0], [230.0, 295.0]], ('13.27', 0.9952999353408813)], [[[145.0, 295.0], [199.0, 297.0], [198.0, 313.0], [144.0, 311.0]], ('Taxes...', 0.9756468534469604)], [[[236.0, 296.0], [266.0, 296.0], [266.0, 313.0], [236.0, 313.0]], ('1.09', 0.9963915348052979)], [[[120.0, 326.0], [265.0, 327.0], [265.0, 345.0], [120.0, 344.0]], ('Total14.36', 0.9406261444091797)], [[[2.0, 360.0], [278.0, 360.0], [278.0, 374.0], [2.0, 374.0]], ('************************************', 0.8036801815032959)], [[[2.0, 378.0], [10.0, 378.0], [10.0, 388.0], [2.0, 388.0]], ('', 0.6407204270362854)], [[[100.0, 376.0], [155.0, 376.0], [155.0, 394.0], [100.0, 394.0]], ('Thanks!!', 0.981657862663269)], [[[2.0, 393.0], [11.0, 393.0], [11.0, 404.0], [2.0, 404.0]], ('', 0.709040641784668)], [[[2.0, 410.0], [11.0, 410.0], [11.0, 420.0], [2.0, 420.0]], ('', 0.7042723894119263)], [[[35.0, 408.0], [252.0, 409.0], [252.0, 424.0], [35.0, 423.0]], ("Y'all come back now Ya Hear!!!", 0.8827773332595825)], [[[2.0, 427.0], [11.0, 427.0], [11.0, 437.0], [2.0, 437.0]], ('', 0.8534138798713684)], [[[3.0, 442.0], [279.0, 442.0], [279.0, 456.0], [3.0, 456.0]], ('****************************************', 0.8429452776908875)]]	{"store_name": "Restaurant ShadyGrove", "store_addr": "Austin,TX78704 1624BartonSpringsRoad", "telephone": "512-474-9991", "date": "11/26/03", "time": "4:29PM", "subtotal": "13.27", "tax": "1.09", "total": "14.36", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "JALAPENO", "item_value": "1.50", "item_quantity": "1"}, {"item_key": "", "item_name": "CHILI", "item_value": "5.59", "item_quantity": "1"}, {"item_key": "", "item_name": "SOUP/SALAD", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "PEANUTDRESSI", "item_value": "6.29", "item_quantity": "1"}, {"item_key": "", "item_name": "HIPPIEPLATE", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SODA/TEA", "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	[[[[121.0, 69.0], [222.0, 74.0], [221.0, 95.0], [120.0, 90.0]], ('KFC/TBa', 0.9883758425712585)], [[[106.0, 108.0], [240.0, 112.0], [240.0, 136.0], [105.0, 132.0]], ('Restaurant#K071002', 0.9455322623252869)], [[[165.0, 173.0], [197.0, 173.0], [197.0, 190.0], [165.0, 190.0]], ('Anna', 0.9963375926017761)], [[[99.0, 191.0], [193.0, 207.0], [190.0, 224.0], [96.0, 208.0]], ('Ticket', 0.9873802065849304)], [[[188.0, 205.0], [246.0, 197.0], [248.0, 212.0], [190.0, 221.0]], ('#4061', 0.9677872657775879)], [[[245.0, 211.0], [290.0, 205.0], [292.0, 220.0], [247.0, 226.0]], ('11:58AM', 0.9382632970809937)], [[[65.0, 283.0], [144.0, 283.0], [144.0, 297.0], [65.0, 297.0]], ('Burrito Only', 0.9593727588653564)], [[[262.0, 282.0], [288.0, 279.0], [289.0, 294.0], [263.0, 297.0]], ('1.19', 0.9901928901672363)], [[[71.0, 299.0], [126.0, 299.0], [126.0, 313.0], [71.0, 313.0]], ('Bean Bur', 0.9500684142112732)], [[[44.0, 330.0], [69.0, 330.0], [69.0, 343.0], [44.0, 343.0]], ('Tax', 0.9941601157188416)], [[[264.0, 324.0], [295.0, 324.0], [295.0, 339.0], [264.0, 339.0]], ('0.10', 0.9726471900939941)], [[[45.0, 344.0], [106.0, 344.0], [106.0, 358.0], [45.0, 358.0]], ('CARRY OUT', 0.9488255977630615)], [[[260.0, 336.0], [292.0, 336.0], [292.0, 354.0], [260.0, 354.0]], ('$1.29', 0.9909535646438599)], [[[44.0, 371.0], [112.0, 371.0], [112.0, 388.0], [44.0, 388.0]], ('EXACT CASH', 0.9686280488967896)], [[[258.0, 365.0], [294.0, 365.0], [294.0, 383.0], [258.0, 383.0]], ('$1.29', 0.9835108518600464)], [[[44.0, 389.0], [88.0, 389.0], [88.0, 404.0], [44.0, 404.0]], ('Change', 0.9972819685935974)], [[[258.0, 381.0], [294.0, 381.0], [294.0, 399.0], [258.0, 399.0]], ('$0.00', 0.9921222925186157)], [[[111.0, 430.0], [219.0, 430.0], [219.0, 444.0], [111.0, 444.0]], ('Thank You', 0.9576919078826904)]]	{"store_name": "KFC/TB\u00e1", "store_addr": "2605WestWhiteStreet Anna", "telephone": "(972)924-3124", "date": "2018-04-12", "time": "11:58AM", "subtotal": "", "tax": "0.10", "total": "$1.29", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "BurritoOnly", "item_value": "1.19", "item_quantity": "1"}, {"item_key": "", "item_name": "BeanBur", "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	[[[[234.0, 89.0], [420.0, 82.0], [421.0, 107.0], [235.0, 113.0]], ('HENRYVILLE,INC', 0.9670138955116272)], [[[270.0, 142.0], [360.0, 142.0], [360.0, 166.0], [270.0, 166.0]], ('th Edsa', 0.9291182160377502)], [[[208.0, 166.0], [430.0, 168.0], [430.0, 195.0], [208.0, 193.0]], ('Munoz Quezon City', 0.9503705501556396)], [[[223.0, 194.0], [418.0, 194.0], [418.0, 219.0], [223.0, 219.0]], ('007-047-225-010', 0.9816954731941223)], [[[128.0, 219.0], [512.0, 214.0], [512.0, 245.0], [128.0, 249.0]], ('BIR ACC#038-209670390-000118', 0.9713318943977356)], [[[150.0, 247.0], [477.0, 246.0], [477.0, 270.0], [150.0, 271.0]], ('Permit NoPR-038-0016650', 0.9507302045822144)], [[[178.0, 275.0], [464.0, 274.0], [464.0, 295.0], [178.0, 296.0]], ('POS#114SNSGH017P7YG', 0.9557217955589294)], [[[30.0, 321.0], [129.0, 324.0], [129.0, 352.0], [30.0, 349.0]], ('Dine-In', 0.9948488473892212)], [[[29.0, 350.0], [183.0, 350.0], [183.0, 378.0], [29.0, 378.0]], ('1A1PCCBO', 0.9504328966140747)], [[[481.0, 350.0], [550.0, 347.0], [551.0, 373.0], [482.0, 376.0]], ('90.00', 0.9975832104682922)], [[[31.0, 379.0], [141.0, 381.0], [141.0, 406.0], [31.0, 404.0]], ('Subtotal', 0.9944909811019897)], [[[481.0, 378.0], [551.0, 375.0], [552.0, 402.0], [482.0, 404.0]], ('80.36', 0.9943731427192688)], [[[32.0, 406.0], [117.0, 406.0], [117.0, 434.0], [32.0, 434.0]], ('12%VAT', 0.9757264256477356)], [[[495.0, 405.0], [553.0, 405.0], [553.0, 430.0], [495.0, 430.0]], ('9.64', 0.9947807192802429)], [[[32.0, 435.0], [102.0, 435.0], [102.0, 460.0], [32.0, 460.0]], ('TOTAL', 0.9983443021774292)], [[[483.0, 432.0], [553.0, 432.0], [553.0, 457.0], [483.0, 457.0]], ('90.00', 0.9981419444084167)], [[[32.0, 465.0], [197.0, 465.0], [197.0, 487.0], [32.0, 487.0]], ('Globe Reward', 0.9592586159706116)], [[[485.0, 461.0], [556.0, 461.0], [556.0, 484.0], [485.0, 484.0]], ('90.00', 0.9977918863296509)], [[[30.0, 491.0], [93.0, 491.0], [93.0, 516.0], [30.0, 516.0]], ('CASH', 0.9979123473167419)], [[[496.0, 487.0], [555.0, 487.0], [555.0, 512.0], [496.0, 512.0]], ('0.00', 0.9976593852043152)], [[[31.0, 517.0], [117.0, 514.0], [118.0, 543.0], [32.0, 545.0]], ('CHANGE', 0.9978664517402649)], [[[497.0, 512.0], [554.0, 512.0], [554.0, 538.0], [497.0, 538.0]], ('0.00', 0.9983333349227905)], [[[34.0, 574.0], [237.0, 569.0], [237.0, 592.0], [34.0, 598.0]], ('0.R.114-177173', 0.9749590158462524)], [[[34.0, 603.0], [373.0, 594.0], [373.0, 618.0], [34.0, 627.0]], ('By:SANTIAGOROSALINDA G', 0.9533265829086304)], [[[34.0, 629.0], [552.0, 619.0], [552.0, 644.0], [34.0, 653.0]], ('01/04/2014 12:52 Txn:114-01042014125204', 0.9610997438430786)], [[[47.0, 683.0], [527.0, 675.0], [527.0, 701.0], [47.0, 709.0]], ('This serves as your Official Receipt', 0.9442666172981262)], [[[35.0, 740.0], [449.0, 730.0], [449.0, 754.0], [35.0, 764.0]], ('Customer Care:0920-962-3783 or', 0.9319223165512085)], [[[22.0, 769.0], [438.0, 760.0], [438.0, 785.0], [22.0, 793.0]], ('Email us at [email protected]', 0.9467880129814148)], [[[91.0, 822.0], [535.0, 812.0], [535.0, 836.0], [91.0, 846.0]], ('WEDELIVERTASTEI', 0.9593250751495361)], [[[131.0, 850.0], [497.0, 841.0], [497.0, 865.0], [131.0, 875.0]], ('CALL887-88881', 0.9556092619895935)], [[[163.0, 927.0], [452.0, 920.0], [453.0, 958.0], [164.0, 964.0]], ('Ref No:5520', 0.918501079082489)]]	{"store_name": "HENRYVILLE,INC.", "store_addr": "thEdsa KFCWalterMartNorthEdsaUGWalterMartNor MunozQuezonCity", "telephone": "007-047-225-010", "date": "01/04/2014", "time": "12:52", "subtotal": "80.36", "tax": "9.64", "total": "90.00", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "1A1PCCBO", "item_value": "90.00", "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	[[[[77.0, 27.0], [159.0, 25.0], [159.0, 43.0], [77.0, 45.0]], ('MEAT', 0.9965344071388245)], [[[77.0, 44.0], [160.0, 44.0], [160.0, 57.0], [77.0, 57.0]], ('APTTTTTES', 0.6117305755615234)], [[[10.0, 115.0], [83.0, 115.0], [83.0, 132.0], [10.0, 132.0]], ('Melissa', 0.8850654363632202)], [[[6.0, 143.0], [53.0, 143.0], [53.0, 157.0], [6.0, 157.0]], ('Tb131/1', 0.9636963605880737)], [[[194.0, 142.0], [236.0, 139.0], [236.0, 154.0], [195.0, 157.0]], ('Gst 4', 0.8919752240180969)], [[[28.0, 184.0], [110.0, 184.0], [110.0, 198.0], [28.0, 198.0]], ('Dine In', 0.9351233243942261)], [[[15.0, 196.0], [94.0, 197.0], [94.0, 211.0], [15.0, 210.0]], ('1 Bone Marrow', 0.9153938293457031)], [[[186.0, 196.0], [216.0, 196.0], [216.0, 211.0], [186.0, 211.0]], ('18.00', 0.9965025186538696)], [[[15.0, 211.0], [110.0, 211.0], [110.0, 225.0], [15.0, 225.0]], ('1 Fried Pig Ears', 0.9558228254318237)], [[[191.0, 212.0], [218.0, 212.0], [218.0, 225.0], [191.0, 225.0]], ('8.00', 0.9977298974990845)], [[[14.0, 224.0], [70.0, 226.0], [70.0, 240.0], [14.0, 238.0]], ('1 Tartare', 0.9468296766281128)], [[[188.0, 223.0], [219.0, 225.0], [218.0, 240.0], [186.0, 238.0]], ('16.00', 0.9948935508728027)], [[[13.0, 239.0], [70.0, 239.0], [70.0, 253.0], [13.0, 253.0]], ('1 Poutine', 0.9444770812988281)], [[[192.0, 238.0], [219.0, 238.0], [219.0, 253.0], [192.0, 253.0]], ('8.00', 0.9964983463287354)], [[[12.0, 253.0], [110.0, 253.0], [110.0, 266.0], [12.0, 266.0]], ('1 Fried Brussels', 0.9435994625091553)], [[[193.0, 252.0], [220.0, 252.0], [220.0, 267.0], [193.0, 267.0]], ('6.00', 0.9937488436698914)], [[[11.0, 267.0], [110.0, 267.0], [110.0, 281.0], [11.0, 281.0]], ('1 Butter Noodles', 0.9430526494979858)], [[[193.0, 266.0], [220.0, 266.0], [220.0, 281.0], [193.0, 281.0]], ('5.00', 0.9959507584571838)], [[[11.0, 282.0], [63.0, 282.0], [63.0, 296.0], [11.0, 296.0]], ('1 Ribeye', 0.9259639978408813)], [[[188.0, 278.0], [220.0, 281.0], [219.0, 296.0], [186.0, 293.0]], ('74.00', 0.9946017265319824)], [[[13.0, 296.0], [73.0, 296.0], [73.0, 307.0], [13.0, 307.0]], ('1Salt Pig', 0.9457275867462158)], [[[188.0, 294.0], [219.0, 294.0], [219.0, 309.0], [188.0, 309.0]], ('14.00', 0.9962388873100281)], [[[11.0, 310.0], [92.0, 310.0], [92.0, 323.0], [11.0, 323.0]], ('1 GL Besieged', 0.901566743850708)], [[[188.0, 309.0], [219.0, 309.0], [219.0, 323.0], [188.0, 323.0]], ('13.00', 0.9834384918212891)], [[[13.0, 324.0], [92.0, 324.0], [92.0, 339.0], [13.0, 339.0]], ('1 GL Besieged', 0.9245228171348572)], [[[188.0, 323.0], [219.0, 323.0], [219.0, 338.0], [188.0, 338.0]], ('13.00', 0.9967638254165649)], [[[13.0, 337.0], [92.0, 339.0], [92.0, 353.0], [13.0, 352.0]], ('1 GL Besieged', 0.9121686220169067)], [[[188.0, 339.0], [219.0, 339.0], [219.0, 353.0], [188.0, 353.0]], ('13.00', 0.9965729713439941)], [[[25.0, 367.0], [73.0, 367.0], [73.0, 381.0], [25.0, 381.0]], ('Subtotal', 0.9906005859375)], [[[182.0, 367.0], [218.0, 367.0], [218.0, 381.0], [182.0, 381.0]], ('188.00', 0.9961285591125488)], [[[24.0, 378.0], [49.0, 381.0], [47.0, 396.0], [22.0, 393.0]], ('Tax', 0.9911344647407532)], [[[187.0, 381.0], [218.0, 381.0], [218.0, 395.0], [187.0, 395.0]], ('13.16', 0.9939001798629761)], [[[1.0, 393.0], [79.0, 395.0], [79.0, 409.0], [1.0, 407.0]], ('09:00PM Tota', 0.9030974507331848)], [[[146.0, 395.0], [216.0, 395.0], [216.0, 409.0], [146.0, 409.0]], ('201.16', 0.993502676486969)], [[[25.0, 419.0], [82.0, 421.0], [82.0, 436.0], [25.0, 434.0]], ('Sales Tax', 0.9440901875495911)], [[[186.0, 421.0], [217.0, 421.0], [217.0, 436.0], [186.0, 436.0]], ('10.43', 0.9933913350105286)], [[[25.0, 434.0], [92.0, 436.0], [92.0, 449.0], [25.0, 448.0]], ('Alcono Tax', 0.8730062246322632)], [[[190.0, 435.0], [217.0, 435.0], [217.0, 449.0], [190.0, 449.0]], ('2.73', 0.9963119029998779)]]	{"store_name": "MEAT", "store_addr": "", "telephone": "", "date": "", "time": "09:00PM", "subtotal": "188.00", "tax": "2.73 10.43 13.16", "total": "201.16", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "GLBesieged", "item_value": "13.00", "item_quantity": "1"}, {"item_key": "", "item_name": "GLBesieged", "item_value": "13.00", "item_quantity": "1"}, {"item_key": "", "item_name": "GLBesieged", "item_value": "13.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Saltpig", "item_value": "14.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Ribeye", "item_value": "74.00", "item_quantity": "1"}, {"item_key": "", "item_name": "ButterNoodles", "item_value": "5.00", "item_quantity": "1"}, {"item_key": "", "item_name": "FriedBrussels", "item_value": "6.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Poutine", "item_value": "8.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Tartare", "item_value": "16.00", "item_quantity": "1"}, {"item_key": "", "item_name": "FriedPigEars", "item_value": "8.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BoneMarrow", "item_value": "18.00", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[123.0, 44.0], [215.0, 44.0], [215.0, 62.0], [123.0, 62.0]], ('TOPAZ', 0.99647057056427)], [[[121.0, 65.0], [225.0, 65.0], [225.0, 78.0], [121.0, 78.0]], ('RESTAURANT', 0.997576117515564)], [[[119.0, 76.0], [222.0, 77.0], [222.0, 91.0], [119.0, 90.0]], ('Never Tasted Before', 0.9436483979225159)], [[[124.0, 99.0], [217.0, 102.0], [217.0, 115.0], [124.0, 112.0]], ('GSM93775393', 0.9866065382957458)], [[[138.0, 90.0], [199.0, 90.0], [199.0, 101.0], [138.0, 101.0]], ('SALALAH', 0.9964445233345032)], [[[42.0, 117.0], [124.0, 119.0], [124.0, 133.0], [42.0, 132.0]], ('TABLE NO:4', 0.8487082719802856)], [[[189.0, 120.0], [279.0, 120.0], [279.0, 133.0], [189.0, 133.0]], ('DATE:07/10/17', 0.9519311189651489)], [[[43.0, 131.0], [91.0, 131.0], [91.0, 142.0], [43.0, 142.0]], ('WAITER', 0.9968796372413635)], [[[107.0, 131.0], [164.0, 131.0], [164.0, 142.0], [107.0, 142.0]], ('RAJEESH', 0.9692366719245911)], [[[188.0, 130.0], [297.0, 129.0], [297.0, 143.0], [188.0, 144.0]], ('TIME:8:12:10PM', 0.8939988017082214)], [[[43.0, 142.0], [94.0, 142.0], [94.0, 152.0], [43.0, 152.0]], ('CASHIER', 0.9891768097877502)], [[[107.0, 142.0], [143.0, 142.0], [143.0, 153.0], [107.0, 153.0]], (':SAJI', 0.9299390912055969)], [[[41.0, 152.0], [86.0, 152.0], [86.0, 163.0], [41.0, 163.0]], ('REC NO', 0.9263595938682556)], [[[107.0, 152.0], [143.0, 152.0], [143.0, 163.0], [107.0, 163.0]], ('TEMP', 0.9908702373504639)], [[[190.0, 151.0], [298.0, 151.0], [298.0, 164.0], [190.0, 164.0]], ('KOT NO#160421', 0.9535155892372131)], [[[141.0, 169.0], [233.0, 169.0], [233.0, 182.0], [141.0, 182.0]], ('CASH RECEIPT', 0.9731566309928894)], [[[39.0, 190.0], [109.0, 190.0], [109.0, 200.0], [39.0, 200.0]], ('DESCRIPTION', 0.9932575225830078)], [[[219.0, 187.0], [240.0, 190.0], [238.0, 202.0], [218.0, 199.0]], ('QTY', 0.9939501285552979)], [[[250.0, 189.0], [288.0, 189.0], [288.0, 199.0], [250.0, 199.0]], ('AMOUNT', 0.9966222643852234)], [[[35.0, 206.0], [200.0, 205.0], [200.0, 219.0], [36.0, 220.0]], ('Vegetable Spring Rol1s', 0.931635320186615)], [[[229.0, 207.0], [237.0, 207.0], [237.0, 218.0], [229.0, 218.0]], ('1', 0.9546186327934265)], [[[257.0, 204.0], [296.0, 204.0], [296.0, 218.0], [257.0, 218.0]], ('1.000', 0.9975136518478394)], [[[36.0, 218.0], [186.0, 218.0], [186.0, 231.0], [36.0, 231.0]], ('Paneer Butter Masala', 0.9512938261032104)], [[[227.0, 215.0], [241.0, 215.0], [241.0, 243.0], [227.0, 243.0]], ('HH', 0.6099549531936646)], [[[257.0, 215.0], [297.0, 215.0], [297.0, 229.0], [257.0, 229.0]], ('1.200', 0.9947296380996704)], [[[36.0, 229.0], [112.0, 229.0], [112.0, 242.0], [36.0, 242.0]], ('plain Rice', 0.9135054349899292)], [[[257.0, 227.0], [298.0, 227.0], [298.0, 241.0], [257.0, 241.0]], ('0.400', 0.9964399337768555)], [[[34.0, 240.0], [164.0, 239.0], [164.0, 253.0], [34.0, 254.0]], ('Gobi 65NO SPICY', 0.9076259136199951)], [[[229.0, 238.0], [240.0, 238.0], [240.0, 254.0], [229.0, 254.0]], ('1', 0.9871106147766113)], [[[258.0, 238.0], [299.0, 238.0], [299.0, 252.0], [258.0, 252.0]], ('1.000', 0.997296154499054)], [[[33.0, 252.0], [194.0, 251.0], [194.0, 265.0], [33.0, 266.0]], ('Butter Chicken Masala', 0.9645304083824158)], [[[259.0, 250.0], [300.0, 250.0], [300.0, 264.0], [259.0, 264.0]], ('1.400', 0.9969706535339355)], [[[33.0, 265.0], [119.0, 265.0], [119.0, 278.0], [33.0, 278.0]], ('Garlic Naan', 0.9541048407554626)], [[[259.0, 262.0], [301.0, 262.0], [301.0, 276.0], [259.0, 276.0]], ('0.400', 0.9962215423583984)], [[[32.0, 279.0], [65.0, 279.0], [65.0, 290.0], [32.0, 290.0]], ('Naan', 0.9973598122596741)], [[[260.0, 274.0], [302.0, 274.0], [302.0, 288.0], [260.0, 288.0]], ('0.100', 0.9936085939407349)], [[[30.0, 287.0], [188.0, 287.0], [188.0, 304.0], [30.0, 304.0]], ('Soft Drinks Pepsi', 0.9303011298179626)], [[[183.0, 287.0], [223.0, 287.0], [223.0, 301.0], [183.0, 301.0]], ('Cola,', 0.9340661764144897)], [[[261.0, 286.0], [302.0, 286.0], [302.0, 301.0], [261.0, 301.0]], ('0.400', 0.9938597679138184)], [[[30.0, 301.0], [187.0, 301.0], [187.0, 315.0], [30.0, 315.0]], ('Soft Drinks Pepsi', 0.9312347173690796)], [[[184.0, 302.0], [223.0, 302.0], [223.0, 313.0], [184.0, 313.0]], ('Cola,', 0.8527673482894897)], [[[232.0, 301.0], [240.0, 301.0], [240.0, 310.0], [232.0, 310.0]], ('1', 0.9220912456512451)], [[[262.0, 299.0], [303.0, 299.0], [303.0, 313.0], [262.0, 313.0]], ('0.200', 0.9959890246391296)], [[[29.0, 333.0], [122.0, 333.0], [122.0, 347.0], [29.0, 347.0]], ('NET TOTAL', 0.9413036704063416)], [[[264.0, 329.0], [308.0, 329.0], [308.0, 344.0], [264.0, 344.0]], ('6.100', 0.9981634020805359)], [[[91.0, 352.0], [243.0, 352.0], [243.0, 366.0], [91.0, 366.0]], ('*Free Home Delivery', 0.933181881904602)], [[[42.0, 378.0], [290.0, 376.0], [290.0, 390.0], [42.0, 392.0]], ('Ph23 297100/2329 6548', 0.9331108927726746)], [[[112.0, 404.0], [203.0, 403.0], [204.0, 417.0], [112.0, 418.0]], ('VISIT AGAIN', 0.9548911452293396)], [[[106.0, 419.0], [209.0, 417.0], [209.0, 433.0], [107.0, 435.0]], ('THANK YOU', 0.9418613910675049)]]	{"store_name": "TOPAZ RESTAURANT", "store_addr": "SALALAH", "telephone": "ph:23297100/23296548", "date": "07/10/17", "time": "8:12:10PM", "subtotal": "", "tax": "", "total": "6.100", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "VegetableSpringRolls", "item_value": "1.000", "item_quantity": "1"}, {"item_key": "", "item_name": "PaneerButterMasala", "item_value": "1.200", "item_quantity": "1"}, {"item_key": "", "item_name": "PlainRice", "item_value": "0.400", "item_quantity": "1"}, {"item_key": "", "item_name": "Gobi65NOSPICY", "item_value": "1.000", "item_quantity": "1"}, {"item_key": "", "item_name": "ButterChickenMasala", "item_value": "1.400", "item_quantity": "1"}, {"item_key": "", "item_name": "GarlicNaan", "item_value": "0.400", "item_quantity": "1"}, {"item_key": "", "item_name": "Naan", "item_value": "0.100", "item_quantity": "1"}, {"item_key": "", "item_name": "SoftDrinks(Pepsi,Cola,", "item_value": "0.400", "item_quantity": "1"}, {"item_key": "", "item_name": "SoftDrinks(Pepsi,Cola,", "item_value": "0.200", "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	[[[[63.0, 68.0], [200.0, 74.0], [199.0, 94.0], [62.0, 88.0]], ('Gaylord London', 0.9659088253974915)], [[[16.0, 83.0], [34.0, 83.0], [34.0, 95.0], [16.0, 95.0]], ('T1', 0.7176192998886108)], [[[15.0, 95.0], [31.0, 95.0], [31.0, 107.0], [15.0, 107.0]], ('82', 0.6248362064361572)], [[[164.0, 88.0], [240.0, 86.0], [240.0, 99.0], [164.0, 102.0]], ('01/11/2017192', 0.8444449305534363)], [[[15.0, 104.0], [38.0, 108.0], [36.0, 119.0], [13.0, 115.0]], ('Tony', 0.9750802516937256)], [[[13.0, 115.0], [52.0, 120.0], [50.0, 134.0], [11.0, 129.0]], ('#itom', 0.7963844537734985)], [[[218.0, 117.0], [247.0, 121.0], [245.0, 136.0], [216.0, 132.0]], ('Price', 0.982923686504364)], [[[13.0, 128.0], [91.0, 136.0], [90.0, 149.0], [11.0, 141.0]], ('2 Cover Charge', 0.915660560131073)], [[[13.0, 140.0], [75.0, 147.0], [73.0, 161.0], [11.0, 154.0]], ('1181Voss', 0.8505520224571228)], [[[221.0, 132.0], [246.0, 132.0], [246.0, 147.0], [221.0, 147.0]], ('3.00', 0.9759697914123535)], [[[13.0, 153.0], [81.0, 159.0], [80.0, 173.0], [11.0, 167.0]], ('1 Garic Naan', 0.8667388558387756)], [[[222.0, 144.0], [246.0, 144.0], [246.0, 159.0], [222.0, 159.0]], ('575', 0.9974979758262634)], [[[224.0, 155.0], [246.0, 158.0], [244.0, 172.0], [222.0, 169.0]], ('425', 0.9906982779502869)], [[[11.0, 166.0], [116.0, 173.0], [115.0, 187.0], [11.0, 181.0]], ('1 Saffron Matar Polao', 0.8472664952278137)], [[[222.0, 167.0], [247.0, 170.0], [245.0, 185.0], [220.0, 182.0]], ('525', 0.9950358271598816)], [[[11.0, 178.0], [84.0, 184.0], [83.0, 198.0], [10.0, 193.0]], ('1 Lamb Korma', 0.9401523470878601)], [[[217.0, 180.0], [247.0, 183.0], [246.0, 197.0], [216.0, 194.0]], ('15.50', 0.9917460680007935)], [[[9.0, 192.0], [129.0, 198.0], [128.0, 212.0], [9.0, 206.0]], ('1Lamb Chops Anardana', 0.9377199411392212)], [[[217.0, 193.0], [247.0, 196.0], [246.0, 211.0], [216.0, 209.0]], ('16.50', 0.8971870541572571)], [[[9.0, 206.0], [57.0, 208.0], [56.0, 221.0], [9.0, 219.0]], ('Subtotal', 0.9931685924530029)], [[[217.0, 207.0], [247.0, 209.0], [246.0, 224.0], [216.0, 222.0]], ('50.25', 0.9936493635177612)], [[[9.0, 218.0], [84.0, 222.0], [83.0, 236.0], [9.0, 232.0]], ('Service Charge', 0.9709329605102539)], [[[221.0, 221.0], [248.0, 223.0], [246.0, 237.0], [220.0, 235.0]], ('8.28', 0.9138826131820679)], [[[10.0, 232.0], [46.0, 234.0], [45.0, 249.0], [9.0, 247.0]], ('Total', 0.9972599148750305)], [[[197.0, 235.0], [246.0, 237.0], [246.0, 252.0], [196.0, 250.0]], ('56.53', 0.9883732795715332)], [[[6.0, 260.0], [45.0, 260.0], [45.0, 274.0], [6.0, 274.0]], ('20.00%', 0.9855632781982422)], [[[107.0, 251.0], [129.0, 251.0], [129.0, 263.0], [107.0, 263.0]], ('Net', 0.9802613258361816)], [[[152.0, 252.0], [175.0, 252.0], [175.0, 264.0], [152.0, 264.0]], ('VAT', 0.9961842894554138)], [[[213.0, 251.0], [247.0, 253.0], [246.0, 268.0], [212.0, 265.0]], ('Gross', 0.9876969456672668)], [[[98.0, 261.0], [130.0, 264.0], [129.0, 278.0], [96.0, 275.0]], ('39.38', 0.9454986453056335)], [[[151.0, 262.0], [176.0, 265.0], [175.0, 280.0], [150.0, 277.0]], ('7.88', 0.9696199297904968)], [[[6.0, 273.0], [53.0, 273.0], [53.0, 287.0], [6.0, 287.0]], ('VAT total', 0.9630948305130005)], [[[216.0, 266.0], [247.0, 266.0], [247.0, 281.0], [216.0, 281.0]], ('47.25', 0.9782136678695679)], [[[98.0, 276.0], [128.0, 276.0], [128.0, 290.0], [98.0, 290.0]], ('39.38', 0.9924684762954712)], [[[151.0, 279.0], [175.0, 279.0], [175.0, 291.0], [151.0, 291.0]], ('7.88', 0.963310718536377)], [[[217.0, 278.0], [247.0, 281.0], [246.0, 296.0], [216.0, 293.0]], ('56.53', 0.9915359616279602)], [[[75.0, 292.0], [175.0, 297.0], [174.0, 315.0], [74.0, 310.0]], ('Thank you!', 0.9540691375732422)], [[[28.0, 310.0], [221.0, 318.0], [220.0, 332.0], [27.0, 324.0]], ('2.5%GRATUITY WILL BE ADDEDTO', 0.9205912947654724)], [[[37.0, 323.0], [211.0, 332.0], [210.0, 345.0], [36.0, 336.0]], ('YOUR BILLDOESNOT APPLY TO', 0.9394113421440125)], [[[87.0, 338.0], [155.0, 343.0], [155.0, 356.0], [86.0, 351.0]], ('TAKEAWAYS', 0.9957768321037292)], [[[5.0, 351.0], [103.0, 361.0], [102.0, 375.0], [4.0, 365.0]], ('GAYLORD LONDON', 0.9491687417030334)], [[[8.0, 363.0], [91.0, 373.0], [90.0, 384.0], [7.0, 374.0]], ('79.61MORTIMER', 0.8279920816421509)], [[[8.0, 373.0], [53.0, 378.0], [52.0, 389.0], [7.0, 384.0]], ('STREET', 0.961053192615509)], [[[6.0, 382.0], [97.0, 395.0], [95.0, 409.0], [4.0, 396.0]], ('LONDONW1W7SJ', 0.8857772350311279)], [[[5.0, 394.0], [74.0, 404.0], [72.0, 419.0], [3.0, 408.0]], ('02075803615', 0.8911122679710388)], [[[5.0, 407.0], [102.0, 420.0], [101.0, 435.0], [3.0, 421.0]], ('VATNO232479854', 0.9673754572868347)], [[[5.0, 418.0], [120.0, 435.0], [118.0, 449.0], [3.0, 432.0]], ('WWW.GAYLORDLONDO', 0.9235352277755737)], [[[3.0, 431.0], [44.0, 437.0], [42.0, 448.0], [1.0, 442.0]], ('N.COM', 0.8154045939445496)]]	{"store_name": "GaylordLondon OAYLCRDLONDON", "store_addr": "LONDCNW1W7SJ", "telephone": "02075803815", "date": "", "time": "", "subtotal": "50.25", "tax": "7.88 7.88", "total": "\u00a356.53 56.53", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "CoverCnarge", "item_value": "8.00", "item_quantity": "1"}, {"item_key": "", "item_name": "181Vess", "item_value": "5.75", "item_quantity": "1"}, {"item_key": "", "item_name": "SaffronMetarPutao", "item_value": "4.25", "item_quantity": "1"}, {"item_key": "", "item_name": "CambKorma", "item_value": "5.25", "item_quantity": "1"}, {"item_key": "", "item_name": "LambChopsAnaroana", "item_value": "15.50", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "16.50", "item_quantity": "1"}, {"item_key": "#Itom", "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	[[[[272.0, 32.0], [437.0, 34.0], [437.0, 59.0], [272.0, 57.0]], ('Car Spa 0017', 0.9295721054077148)], [[[231.0, 59.0], [480.0, 63.0], [479.0, 88.0], [231.0, 84.0]], ('3690 Be1tline Road', 0.9084265828132629)], [[[259.0, 88.0], [453.0, 91.0], [453.0, 117.0], [259.0, 114.0]], ('972243-2932', 0.992582380771637)], [[[75.0, 149.0], [212.0, 149.0], [212.0, 177.0], [75.0, 177.0]], ('17-TOUCH2,', 0.9456556439399719)], [[[386.0, 154.0], [637.0, 154.0], [637.0, 179.0], [386.0, 179.0]], ('05/28/15,06:50 PM', 0.9104559421539307)], [[[71.0, 182.0], [339.0, 186.0], [339.0, 214.0], [70.0, 210.0]], ('Shift 1,Emp1 6508', 0.8992498517036438)], [[[387.0, 188.0], [639.0, 188.0], [639.0, 212.0], [387.0, 212.0]], ('Sale #41623648004', 0.9453272819519043)], [[[157.0, 250.0], [385.0, 253.0], [384.0, 279.0], [156.0, 276.0]], ('1 Mobi1 1 Pk -TX', 0.8396017551422119)], [[[567.0, 252.0], [630.0, 252.0], [630.0, 283.0], [567.0, 283.0]], ('0.00', 0.9968670010566711)], [[[156.0, 285.0], [415.0, 288.0], [414.0, 316.0], [155.0, 313.0]], ('1 Spa Supreme-Tx', 0.917736828327179)], [[[568.0, 286.0], [630.0, 286.0], [630.0, 318.0], [568.0, 318.0]], ('0.00', 0.9946104288101196)], [[[155.0, 320.0], [458.0, 323.0], [458.0, 351.0], [154.0, 348.0]], ('1 Spa Sup.Labor -Tx', 0.9010909199714661)], [[[558.0, 322.0], [631.0, 322.0], [631.0, 352.0], [558.0, 352.0]], ('13.24', 0.9942496418952942)], [[[156.0, 356.0], [457.0, 357.0], [457.0, 383.0], [156.0, 382.0]], ('1 Spa Sup.Parts-TX', 0.9153501987457275)], [[[569.0, 356.0], [631.0, 356.0], [631.0, 388.0], [569.0, 388.0]], ('6.75', 0.9933090806007385)], [[[155.0, 388.0], [374.0, 391.0], [374.0, 419.0], [154.0, 417.0]], ('1 Mobi1 1 Synth', 0.8787022829055786)], [[[558.0, 392.0], [632.0, 392.0], [632.0, 422.0], [558.0, 422.0]], ('48.00', 0.994428813457489)], [[[155.0, 425.0], [443.0, 428.0], [443.0, 456.0], [154.0, 453.0]], ('1 Supreme Inspection', 0.9620360136032104)], [[[154.0, 461.0], [314.0, 461.0], [314.0, 490.0], [154.0, 490.0]], ('1 Waste Fee', 0.9335584044456482)], [[[571.0, 460.0], [635.0, 460.0], [635.0, 493.0], [571.0, 493.0]], ('2.00', 0.9971931576728821)], [[[153.0, 499.0], [457.0, 499.0], [457.0, 524.0], [153.0, 524.0]], ('1Lube Wash Discount', 0.9611061215400696)], [[[561.0, 497.0], [636.0, 497.0], [636.0, 527.0], [561.0, 527.0]], ('-6.00', 0.9811677932739258)], [[[110.0, 534.0], [427.0, 534.0], [427.0, 559.0], [110.0, 559.0]], ('5.80 Mobi1e1 0w40 Bt', 0.8759557008743286)], [[[564.0, 532.0], [638.0, 532.0], [638.0, 562.0], [564.0, 562.0]], ('10.00', 0.993808925151825)], [[[153.0, 571.0], [385.0, 571.0], [385.0, 596.0], [153.0, 596.0]], ('1PRGD0F:P0F5581', 0.9267431497573853)], [[[575.0, 568.0], [640.0, 568.0], [640.0, 598.0], [575.0, 598.0]], ('0.00', 0.9919070601463318)], [[[153.0, 606.0], [417.0, 606.0], [417.0, 634.0], [153.0, 634.0]], ('1Exp Carpet Clean', 0.9476521611213684)], [[[566.0, 605.0], [642.0, 605.0], [642.0, 635.0], [566.0, 635.0]], ('39.99', 0.9944888949394226)], [[[152.0, 644.0], [389.0, 644.0], [389.0, 672.0], [152.0, 672.0]], ('1 Exp Seat Treat', 0.9334464073181152)], [[[567.0, 643.0], [645.0, 643.0], [645.0, 673.0], [567.0, 673.0]], ('39.99', 0.9973039627075195)], [[[153.0, 682.0], [373.0, 682.0], [373.0, 707.0], [153.0, 707.0]], ('12 Detai1 Disc', 0.8755642771720886)], [[[557.0, 680.0], [647.0, 680.0], [647.0, 710.0], [557.0, 710.0]], ('-19.99', 0.9306395649909973)], [[[150.0, 719.0], [405.0, 717.0], [405.0, 748.0], [150.0, 750.0]], ('1 Emissions-0BD', 0.919783353805542)], [[[570.0, 716.0], [652.0, 716.0], [652.0, 750.0], [570.0, 750.0]], ('25.50', 0.9963758587837219)], [[[148.0, 756.0], [375.0, 753.0], [375.0, 785.0], [148.0, 789.0]], ('1 Sticker-ODB', 0.9196418523788452)], [[[587.0, 756.0], [653.0, 756.0], [653.0, 789.0], [587.0, 789.0]], ('0.00', 0.9969179034233093)], [[[360.0, 832.0], [487.0, 835.0], [486.0, 871.0], [359.0, 869.0]], ('Subtotal', 0.9944307804107666)], [[[565.0, 835.0], [661.0, 835.0], [661.0, 870.0], [565.0, 870.0]], ('159.48', 0.9813552498817444)], [[[347.0, 877.0], [489.0, 877.0], [489.0, 910.0], [347.0, 910.0]], ('Sales Tax', 0.964100182056427)], [[[592.0, 876.0], [665.0, 876.0], [665.0, 911.0], [592.0, 911.0]], ('5.34', 0.9963188767433167)], [[[407.0, 917.0], [491.0, 917.0], [491.0, 955.0], [407.0, 955.0]], ('Total', 0.9952351450920105)], [[[570.0, 919.0], [666.0, 919.0], [666.0, 953.0], [570.0, 953.0]], ('164.82', 0.994354248046875)]]	{"store_name": "CarSpa0017", "store_addr": "3690BeltlineRoad", "telephone": "(972)243-2932", "date": "05/28/15", "time": "06:50PM", "subtotal": "159.48", "tax": "5.34", "total": "164.82", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "Mobil1Pk-TX", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SpaSupreme-Tx", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SpaSup.Labor-Tx", "item_value": "13.24", "item_quantity": "1"}, {"item_key": "", "item_name": "SpaSup.Parts-Tx", "item_value": "6.75", "item_quantity": "1"}, {"item_key": "", "item_name": "Mobil1Synth", "item_value": "48.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SupremeInspection", "item_value": "2.00", "item_quantity": "1"}, {"item_key": "", "item_name": "WasteFee", "item_value": "10.00", "item_quantity": "1"}, {"item_key": "", "item_name": "5.80Mobile1Ow40BtL", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "PRGDOF:POF5581", "item_value": "39.99", "item_quantity": "1"}, {"item_key": "", "item_name": "ExpCarpetClean", "item_value": "39.99", "item_quantity": "1"}, {"item_key": "", "item_name": "ExpSeatTreat", "item_value": "25.50", "item_quantity": "1"}, {"item_key": "", "item_name": "Emissions-OBD", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Sticker-ODB", "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, 5.0], [259.0, 4.0], [259.0, 15.0], [140.0, 16.0]], ('50088Kupu', 0.667445719242096)], [[[96.0, 16.0], [206.0, 14.0], [206.0, 28.0], [96.0, 30.0]], ('T0323886030', 0.939436137676239)], [[[203.0, 12.0], [316.0, 10.0], [316.0, 24.0], [203.0, 26.0]], ('91088909', 0.7950097322463989)], [[[132.0, 27.0], [264.0, 25.0], [264.0, 39.0], [132.0, 41.0]], ('GST10:000628801538', 0.8902860283851624)], [[[69.0, 39.0], [165.0, 37.0], [165.0, 54.0], [69.0, 56.0]], ('11RESTAUHANT1', 0.8214439153671265)], [[[286.0, 34.0], [337.0, 34.0], [337.0, 50.0], [286.0, 50.0]], ('27AZMI', 0.8312532305717468)], [[[67.0, 56.0], [152.0, 52.0], [152.0, 66.0], [67.0, 70.0]], ('Print Cnt', 0.8864789605140686)], [[[262.0, 48.0], [337.0, 47.0], [337.0, 62.0], [262.0, 63.0]], ('30003JENNY', 0.9831121563911438)], [[[66.0, 81.0], [149.0, 77.0], [150.0, 94.0], [67.0, 98.0]], ('Check:722372', 0.9332042336463928)], [[[282.0, 74.0], [341.0, 74.0], [341.0, 91.0], [282.0, 91.0]], ('Cover12', 0.9889464378356934)], [[[133.0, 92.0], [280.0, 89.0], [280.0, 105.0], [133.0, 108.0]], ('10 May17 0817:04 PM', 0.8835253715515137)], [[[64.0, 110.0], [216.0, 106.0], [216.0, 130.0], [64.0, 134.0]], ('TbTW2/1', 0.9309898018836975)], [[[89.0, 145.0], [219.0, 143.0], [219.0, 160.0], [89.0, 162.0]], ('Chateau Margaux 99', 0.9318468570709229)], [[[253.0, 142.0], [332.0, 142.0], [332.0, 159.0], [253.0, 159.0]], ('13,888.00S', 0.8590157628059387)], [[[90.0, 161.0], [190.0, 161.0], [190.0, 175.0], [90.0, 175.0]], ('Cht Margaux 98', 0.9073278307914734)], [[[254.0, 159.0], [332.0, 159.0], [332.0, 173.0], [254.0, 173.0]], ('18.000.00 S', 0.8674453496932983)], [[[87.0, 175.0], [177.0, 173.0], [177.0, 190.0], [87.0, 192.0]], ("Cht Pavie'05", 0.8903915286064148)], [[[253.0, 173.0], [334.0, 173.0], [334.0, 190.0], [253.0, 190.0]], ('15,488.00 S', 0.859461784362793)], [[[60.0, 194.0], [69.0, 194.0], [69.0, 205.0], [60.0, 205.0]], ('3', 0.9883323311805725)], [[[87.0, 191.0], [239.0, 191.0], [239.0, 205.0], [87.0, 205.0]], ('Lobster Salad 138.00', 0.9096416234970093)], [[[272.0, 186.0], [335.0, 188.0], [335.0, 205.0], [272.0, 203.0]], ('414.00S', 0.9588906168937683)], [[[60.0, 206.0], [71.0, 209.0], [68.0, 221.0], [57.0, 218.0]], ('4', 0.9523001313209534)], [[[86.0, 206.0], [225.0, 205.0], [225.0, 220.0], [86.0, 221.0]], ('Bone Marrow 128.00', 0.9080681204795837)], [[[272.0, 202.0], [335.0, 204.0], [335.0, 221.0], [272.0, 219.0]], ('512.00 S', 0.8882531523704529)], [[[55.0, 223.0], [68.0, 223.0], [68.0, 238.0], [55.0, 238.0]], ('2', 0.9728376865386963)], [[[85.0, 221.0], [336.0, 218.0], [336.0, 236.0], [85.0, 239.0]], ('Tomahawk 1.6Kgm1.380.2.760.00 S', 0.8755039572715759)], [[[57.0, 241.0], [65.0, 241.0], [65.0, 252.0], [57.0, 252.0]], ('1', 0.8629487156867981)], [[[86.0, 239.0], [153.0, 239.0], [153.0, 253.0], [86.0, 253.0]], ('Lamb Rack', 0.9269020557403564)], [[[278.0, 237.0], [335.0, 237.0], [335.0, 251.0], [278.0, 251.0]], ('158.00S', 0.9494069218635559)], [[[56.0, 256.0], [64.0, 256.0], [64.0, 267.0], [56.0, 267.0]], ('1', 0.7381917834281921)], [[[85.0, 255.0], [189.0, 255.0], [189.0, 269.0], [85.0, 269.0]], ('Spring Chicken', 0.9493564367294312)], [[[278.0, 253.0], [337.0, 253.0], [337.0, 267.0], [278.0, 267.0]], ('128.00S', 0.9562333226203918)], [[[54.0, 271.0], [66.0, 271.0], [66.0, 286.0], [54.0, 286.0]], ('3', 0.9772341251373291)], [[[83.0, 271.0], [218.0, 271.0], [218.0, 285.0], [83.0, 285.0]], ('Steak Fries @18.00', 0.90090012550354)], [[[281.0, 268.0], [339.0, 268.0], [339.0, 285.0], [281.0, 285.0]], ('54.00S', 0.9420601725578308)], [[[53.0, 287.0], [65.0, 287.0], [65.0, 303.0], [53.0, 303.0]], ('3', 0.9936665892601013)], [[[82.0, 288.0], [273.0, 286.0], [273.0, 300.0], [82.0, 302.0]], ('Portobelo Mshroom @18.00', 0.9039004445075989)], [[[281.0, 285.0], [339.0, 285.0], [339.0, 302.0], [281.0, 302.0]], ('54.00S', 0.9633150100708008)], [[[51.0, 304.0], [63.0, 304.0], [63.0, 320.0], [51.0, 320.0]], ('3', 0.9964194297790527)], [[[81.0, 303.0], [249.0, 302.0], [249.0, 319.0], [81.0, 320.0]], ('Creamed Spinach 026.00', 0.9312320351600647)], [[[283.0, 302.0], [341.0, 302.0], [341.0, 319.0], [283.0, 319.0]], ('78.00 S', 0.9048490524291992)], [[[83.0, 320.0], [226.0, 320.0], [226.0, 334.0], [83.0, 334.0]], ('Truffle Mash @18.00', 0.8838726878166199)], [[[282.0, 318.0], [342.0, 318.0], [342.0, 335.0], [282.0, 335.0]], ('54.00S', 0.94391268491745)], [[[48.0, 337.0], [60.0, 337.0], [60.0, 354.0], [48.0, 354.0]], ('2', 0.9963254332542419)], [[[79.0, 337.0], [342.0, 334.0], [342.0, 351.0], [79.0, 354.0]], ('Crista Champgn 3,888.7776.00 S', 0.91461580991745)], [[[47.0, 355.0], [59.0, 355.0], [59.0, 370.0], [47.0, 370.0]], ('3', 0.9966992735862732)], [[[78.0, 354.0], [227.0, 352.0], [227.0, 369.0], [78.0, 371.0]], ('Choc Fondant @48.00', 0.9301961660385132)], [[[278.0, 351.0], [344.0, 351.0], [344.0, 368.0], [278.0, 368.0]], ('144.00 S', 0.9199473261833191)], [[[46.0, 372.0], [59.0, 372.0], [59.0, 387.0], [46.0, 387.0]], ('3', 0.9961896538734436)], [[[76.0, 371.0], [227.0, 369.0], [227.0, 386.0], [76.0, 388.0]], ('Creme Brulee 38.00', 0.9145004749298096)], [[[280.0, 368.0], [345.0, 368.0], [345.0, 385.0], [280.0, 385.0]], ('114.00 S', 0.9090672731399536)], [[[43.0, 388.0], [243.0, 386.0], [243.0, 404.0], [43.0, 406.0]], ('11MV Sti750m @28.00', 0.8874062895774841)], [[[278.0, 385.0], [346.0, 385.0], [346.0, 402.0], [278.0, 402.0]], ('308.00 S', 0.8969979286193848)], [[[73.0, 406.0], [150.0, 405.0], [150.0, 423.0], [73.0, 424.0]], ('Open Food', 0.9670167565345764)], [[[265.0, 403.0], [349.0, 401.0], [349.0, 419.0], [265.0, 421.0]], ('400.00S', 0.9541069865226746)], [[[65.0, 425.0], [164.0, 423.0], [164.0, 440.0], [65.0, 442.0]], ('OSETRA CAVIA', 0.9696530699729919)], [[[41.0, 446.0], [49.0, 446.0], [49.0, 457.0], [41.0, 457.0]], ('1', 0.5955957770347595)], [[[71.0, 443.0], [148.0, 443.0], [148.0, 460.0], [71.0, 460.0]], ('Open Food', 0.9443542957305908)], [[[266.0, 439.0], [351.0, 436.0], [351.0, 454.0], [266.0, 457.0]], ('1,400.00S', 0.9016374945640564)], [[[62.0, 462.0], [163.0, 460.0], [163.0, 477.0], [62.0, 479.0]], ('OSETRA CAVIA', 0.9485099911689758)], [[[65.0, 480.0], [147.0, 479.0], [147.0, 497.0], [65.0, 498.0]], ('Open Food', 0.940110445022583)], [[[265.0, 476.0], [354.0, 473.0], [355.0, 493.0], [266.0, 496.0]], ('1,400.00S', 0.9306933283805847)], [[[57.0, 500.0], [161.0, 498.0], [161.0, 516.0], [57.0, 518.0]], ('OSETRA CAVIA', 0.9617481827735901)], [[[63.0, 520.0], [144.0, 518.0], [144.0, 536.0], [63.0, 538.0]], ('Open Food', 0.9484150409698486)], [[[267.0, 514.0], [359.0, 512.0], [359.0, 533.0], [267.0, 535.0]], ('2,000.00S', 0.9204235076904297)], [[[32.0, 524.0], [39.0, 522.0], [42.0, 533.0], [35.0, 535.0]], ('1', 0.6052713990211487)], [[[54.0, 540.0], [159.0, 538.0], [159.0, 556.0], [54.0, 558.0]], ('BELUGA CAVIA', 0.9675983786582947)], [[[26.0, 561.0], [203.0, 557.0], [203.0, 577.0], [26.0, 581.0]], ('12 0pen Food @98.00', 0.892417311668396)], [[[270.0, 556.0], [362.0, 554.0], [362.0, 575.0], [270.0, 577.0]], ('1176.00 S', 0.936965823173523)], [[[48.0, 581.0], [176.0, 578.0], [176.0, 599.0], [48.0, 602.0]], ('SPECIAL CHEESE', 0.9706310629844666)], [[[43.0, 625.0], [128.0, 625.0], [128.0, 646.0], [43.0, 646.0]], ('Subtotal:', 0.9782271981239319)], [[[265.0, 623.0], [349.0, 623.0], [349.0, 641.0], [265.0, 641.0]], ('67.306.00', 0.978326141834259)], [[[41.0, 649.0], [153.0, 649.0], [153.0, 670.0], [41.0, 670.0]], ('10%Srv Chg', 0.9457715749740601)], [[[272.0, 645.0], [353.0, 643.0], [353.0, 665.0], [272.0, 667.0]], ('6,730.60', 0.9335113167762756)], [[[36.0, 673.0], [115.0, 671.0], [115.0, 693.0], [36.0, 695.0]], ('GST 06%', 0.837527334690094)], [[[275.0, 670.0], [355.0, 670.0], [355.0, 691.0], [275.0, 691.0]], ('4.442.20', 0.9497383832931519)], [[[34.0, 699.0], [345.0, 694.0], [345.0, 715.0], [34.0, 720.0]], ('AmtDu78478.80', 0.9738527536392212)], [[[30.0, 724.0], [386.0, 720.0], [386.0, 741.0], [30.0, 745.0]], ('30003 ST0RED 10 May 1709:39:24 PM-', 0.8914687037467957)], [[[158.0, 775.0], [254.0, 775.0], [254.0, 799.0], [158.0, 799.0]], ('Thank You', 0.8979465961456299)]]	{"store_name": "", "store_addr": "", "telephone": "0323886030 M+6017-6880187", "date": "10May17 10May17", "time": "09:39:24PM", "subtotal": "67,306.00", "tax": "4,442.20", "total": "AmtDu78,478.80", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "SPECIALCHEESE", "item_value": "1,176.00S", "item_quantity": "1"}, {"item_key": "", "item_name": "[email protected]", "item_value": "13,888.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BELUGACAVIA", "item_value": "18,000.00", "item_quantity": "1"}, {"item_key": "", "item_name": "OpenFood", "item_value": "15,488.00", "item_quantity": "1"}, {"item_key": "", "item_name": "OSETRACAVIA", "item_value": "414.00", "item_quantity": "1"}, {"item_key": "", "item_name": "OpenFood", "item_value": "512.00", "item_quantity": "1"}, {"item_key": "", "item_name": "OSETRACAVIA", "item_value": "2,760.00", "item_quantity": "1"}, {"item_key": "", "item_name": "OpenFood", "item_value": "158.00", "item_quantity": "1"}, {"item_key": "", "item_name": "OSETRACAVIA", "item_value": "128.00", "item_quantity": "1"}, {"item_key": "", "item_name": "OpenFood", "item_value": "54.00", "item_quantity": "1"}, {"item_key": "", "item_name": "[email protected]", "item_value": "54.00", "item_quantity": "1"}, {"item_key": "", "item_name": "[email protected]", "item_value": "78.00", "item_quantity": "1"}, {"item_key": "", "item_name": "[email protected]", "item_value": "54.00", "item_quantity": "1"}, {"item_key": "", "item_name": "CristalChampan@3,888", "item_value": "7,776.00", "item_quantity": "1"}, {"item_key": "", "item_name": "[email protected]", "item_value": "144.00", "item_quantity": "1"}, {"item_key": "", "item_name": "[email protected]", "item_value": "114.00", "item_quantity": "1"}, {"item_key": "", "item_name": "[email protected]", "item_value": "308.00", "item_quantity": "1"}, {"item_key": "", "item_name": "[email protected]", "item_value": "1,400.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SpringChicken", "item_value": "1,400.00", "item_quantity": "1"}, {"item_key": "", "item_name": "LambRack", "item_value": "1,400.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Tomahawk1.6Kgm1,380", "item_value": "2,000.00", "item_quantity": "1"}, {"item_key": "", "item_name": "[email protected]", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "[email protected]", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "ChtPavie'OS", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "ChtMargaux'98", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "ChateauMargaux'99", "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	[[[[90.0, 56.0], [263.0, 62.0], [263.0, 79.0], [89.0, 72.0]], ('Bombay Blues Restaurant', 0.9842211604118347)], [[[136.0, 71.0], [217.0, 76.0], [216.0, 91.0], [135.0, 86.0]], ('Zenway Blvd', 0.9320893883705139)], [[[134.0, 84.0], [217.0, 90.0], [216.0, 104.0], [133.0, 98.0]], ('Frigate Bay,,', 0.867942750453949)], [[[103.0, 96.0], [247.0, 104.0], [246.0, 118.0], [103.0, 110.0]], ('Saint Kitts and Nevis,0', 0.9350376725196838)], [[[118.0, 110.0], [232.0, 117.0], [231.0, 131.0], [117.0, 124.0]], ('Tel869-466-0166', 0.9814088940620422)], [[[58.0, 120.0], [286.0, 131.0], [286.0, 148.0], [57.0, 137.0]], ('Printed November 8.2015 at 8:33 PM', 0.9175882935523987)], [[[26.0, 150.0], [213.0, 155.0], [213.0, 171.0], [26.0, 166.0]], ('November 8,2015 at 8:33 PM', 0.9176499247550964)], [[[27.0, 166.0], [143.0, 170.0], [143.0, 184.0], [27.0, 180.0]], ('Table5,.2 guests', 0.8899748921394348)], [[[221.0, 158.0], [307.0, 161.0], [307.0, 174.0], [221.0, 171.0]], ('Order#15301', 0.9799057245254517)], [[[25.0, 182.0], [123.0, 183.0], [123.0, 197.0], [25.0, 196.0]], ('Party Name:26', 0.9197654128074646)], [[[26.0, 198.0], [114.0, 198.0], [114.0, 212.0], [26.0, 212.0]], ('Tax#:617477', 0.9573099613189697)], [[[23.0, 226.0], [77.0, 228.0], [76.0, 242.0], [23.0, 240.0]], ('Samosa', 0.9977517127990723)], [[[252.0, 229.0], [312.0, 229.0], [312.0, 243.0], [252.0, 243.0]], ('EC$16.00', 0.9831465482711792)], [[[23.0, 241.0], [112.0, 243.0], [112.0, 257.0], [23.0, 255.0]], ('Chicken Tikka', 0.980627179145813)], [[[252.0, 243.0], [312.0, 243.0], [312.0, 257.0], [252.0, 257.0]], ('EC$28.00', 0.9944870471954346)], [[[22.0, 256.0], [125.0, 257.0], [125.0, 271.0], [22.0, 270.0]], ('Shrimp Coconut', 0.9689640998840332)], [[[252.0, 257.0], [312.0, 257.0], [312.0, 271.0], [252.0, 271.0]], ('EC$50.00', 0.9960668087005615)], [[[22.0, 270.0], [166.0, 271.0], [166.0, 285.0], [22.0, 284.0]], ('Vegetable Makhanwala', 0.9790946841239929)], [[[251.0, 271.0], [312.0, 271.0], [312.0, 285.0], [251.0, 285.0]], ('EC$28.00', 0.9932559132575989)], [[[22.0, 283.0], [99.0, 285.0], [99.0, 302.0], [22.0, 300.0]], ('Garlic Naan', 0.9743988513946533)], [[[250.0, 283.0], [312.0, 285.0], [312.0, 301.0], [249.0, 298.0]], ('EC$10.00', 0.9953186511993408)], [[[144.0, 315.0], [207.0, 315.0], [207.0, 329.0], [144.0, 329.0]], ('Food Total', 0.969145655632019)], [[[243.0, 313.0], [311.0, 316.0], [311.0, 331.0], [243.0, 328.0]], ('EC$132.00', 0.9959558844566345)], [[[148.0, 343.0], [207.0, 346.0], [206.0, 361.0], [148.0, 358.0]], ('Sub Total', 0.9636016488075256)], [[[243.0, 346.0], [310.0, 346.0], [310.0, 360.0], [243.0, 360.0]], ('EC$132.00', 0.9957039952278137)], [[[152.0, 360.0], [206.0, 360.0], [206.0, 374.0], [152.0, 374.0]], ('10%VAT', 0.963153600692749)], [[[250.0, 360.0], [310.0, 360.0], [310.0, 374.0], [250.0, 374.0]], ('EC$13.20', 0.9909253120422363)], [[[160.0, 374.0], [206.0, 374.0], [206.0, 389.0], [160.0, 389.0]], ('2%ET', 0.9871776103973389)], [[[257.0, 375.0], [308.0, 375.0], [308.0, 386.0], [257.0, 386.0]], ('EC$2.64', 0.9947523474693298)], [[[117.0, 389.0], [207.0, 389.0], [207.0, 406.0], [117.0, 406.0]], ('Gratuity (10%)', 0.9125962853431702)], [[[250.0, 387.0], [311.0, 387.0], [311.0, 404.0], [250.0, 404.0]], ('EC$13.20', 0.9964310526847839)], [[[174.0, 422.0], [209.0, 422.0], [209.0, 437.0], [174.0, 437.0]], ('Total', 0.9982646703720093)], [[[246.0, 419.0], [315.0, 419.0], [315.0, 436.0], [246.0, 436.0]], ('EC$161.04', 0.9965963363647461)]]	{"store_name": "BombayBluesRestaurant", "store_addr": "ZenwayBlvd FrigaleBay.. SaintKittsandNevis,O", "telephone": "869-466-0166", "date": "November8,2015 November8,2015", "time": "at8:33PM at8:33PM", "subtotal": "EC$132.00", "tax": "EC$13.20 EC$2.64", "total": "EC$161.04", "ignore": "", "tips": "EC$13.20", "line_items": [{"item_key": "", "item_name": "Samosa", "item_value": "EC$16.00", "item_quantity": "1"}, {"item_key": "", "item_name": "ChickenTikka", "item_value": "EC$28.00", "item_quantity": "1"}, {"item_key": "", "item_name": "ShrimpCoconut", "item_value": "EC$50.00", "item_quantity": "1"}, {"item_key": "", "item_name": "VegetableMakhanwala", "item_value": "EC$28.00", "item_quantity": "1"}, {"item_key": "", "item_name": "GarlicNaan", "item_value": "EC$10.00", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[553.0, 115.0], [1036.0, 122.0], [1034.0, 217.0], [552.0, 210.0]], ('TARGET', 0.9828696250915527)], [[[570.0, 212.0], [1034.0, 225.0], [1032.0, 276.0], [569.0, 262.0]], ('EXPECT MORE.PAY LESS:', 0.9267474412918091)], [[[30.0, 629.0], [562.0, 660.0], [558.0, 715.0], [27.0, 684.0]], ('CLEANING SUPPL.IES', 0.9709571003913879)], [[[28.0, 690.0], [317.0, 709.0], [313.0, 759.0], [25.0, 740.0]], ('003050222', 0.99886554479599)], [[[526.0, 716.0], [709.0, 716.0], [709.0, 766.0], [526.0, 766.0]], ('CLOROX', 0.9967696666717529)], [[[969.0, 716.0], [1007.0, 716.0], [1007.0, 773.0], [969.0, 773.0]], ('I', 0.5112559199333191)], [[[1119.0, 718.0], [1274.0, 718.0], [1274.0, 773.0], [1119.0, 773.0]], ('$4.39', 0.8974971771240234)], [[[27.0, 804.0], [254.0, 811.0], [252.0, 868.0], [25.0, 860.0]], ('GROCERY', 0.9979299902915955)], [[[26.0, 869.0], [316.0, 869.0], [316.0, 920.0], [26.0, 920.0]], ('055020987', 0.9986650943756104)], [[[527.0, 869.0], [769.0, 874.0], [768.0, 926.0], [526.0, 922.0]], ('SMARTIES', 0.9968893527984619)], [[[934.0, 869.0], [1007.0, 869.0], [1007.0, 932.0], [934.0, 932.0]], ('FT', 0.9974873661994934)], [[[1119.0, 874.0], [1280.0, 874.0], [1280.0, 930.0], [1119.0, 930.0]], ('$5.02', 0.8985785245895386)], [[[497.0, 926.0], [855.0, 930.0], [854.0, 981.0], [496.0, 976.0]], ('2@$2.51 ea', 0.951322078704834)], [[[26.0, 983.0], [314.0, 983.0], [314.0, 1033.0], [26.0, 1033.0]], ('055021588', 0.998956561088562)], [[[936.0, 976.0], [1007.0, 976.0], [1007.0, 1040.0], [936.0, 1040.0]], ('FT', 0.9975082874298096)], [[[530.0, 987.0], [827.0, 987.0], [827.0, 1031.0], [530.0, 1031.0]], ('SOUR PUNCH', 0.9452677965164185)], [[[1119.0, 979.0], [1278.0, 979.0], [1278.0, 1040.0], [1119.0, 1040.0]], ('$7.99', 0.9973487854003906)], [[[767.0, 1090.0], [1001.0, 1090.0], [1001.0, 1140.0], [767.0, 1140.0]], ('SUBTOTAL', 0.9961122870445251)], [[[1093.0, 1092.0], [1278.0, 1092.0], [1278.0, 1144.0], [1093.0, 1144.0]], ('$17.40', 0.9974048137664795)], [[[313.0, 1145.0], [1007.0, 1142.0], [1007.0, 1199.0], [314.0, 1201.0]], ('Your REDcard Savings 5%', 0.9529717564582825)], [[[1121.0, 1147.0], [1302.0, 1147.0], [1302.0, 1197.0], [1121.0, 1197.0]], ('$0.87-', 0.9844858050346375)], [[[1120.0, 1194.0], [1281.0, 1200.0], [1279.0, 1254.0], [1118.0, 1249.0]], ('$1.49', 0.9981322288513184)], [[[92.0, 1206.0], [1007.0, 1199.0], [1007.0, 1249.0], [93.0, 1256.0]], ('T=ALTAX9.0000% on $16.53', 0.9309956431388855)], [[[855.0, 1256.0], [1007.0, 1256.0], [1007.0, 1308.0], [855.0, 1308.0]], ('TOTAL', 0.9987607002258301)], [[[1093.0, 1256.0], [1278.0, 1256.0], [1278.0, 1308.0], [1093.0, 1308.0]], ('$18.02', 0.9987800717353821)], [[[307.0, 1367.0], [1003.0, 1365.0], [1003.0, 1415.0], [307.0, 1418.0]], ('TARGET DEBIT CARD TOTAL', 0.9445512890815735)], [[[1091.0, 1363.0], [1282.0, 1363.0], [1282.0, 1422.0], [1091.0, 1422.0]], ('$18.02', 0.9973382353782654)], [[[679.0, 1420.0], [818.0, 1420.0], [818.0, 1466.0], [679.0, 1466.0]], ('AID:', 0.906579852104187)], [[[681.0, 1476.0], [1035.0, 1472.0], [1035.0, 1524.0], [681.0, 1529.0]], ('Target Debit', 0.9727674126625061)], [[[408.0, 1592.0], [1005.0, 1585.0], [1005.0, 1634.0], [408.0, 1640.0]], ('Questions about this', 0.9725672602653503)], [[[253.0, 1651.0], [1155.0, 1636.0], [1156.0, 1686.0], [254.0, 1701.0]], ('Target Debit Card transaction?', 0.9635452628135681)], [[[285.0, 1703.0], [1129.0, 1695.0], [1130.0, 1745.0], [286.0, 1754.0]], ('Cal1 1-888-729-7331 or write', 0.9174379706382751)], [[[556.0, 1754.0], [863.0, 1754.0], [863.0, 1804.0], [556.0, 1804.0]], ('POBox 673', 0.9062588214874268)], [[[315.0, 1819.0], [1101.0, 1806.0], [1102.0, 1854.0], [316.0, 1867.0]], ('Minneapo1is,MN 55440-0673', 0.932778000831604)], [[[408.0, 1926.0], [981.0, 1919.0], [982.0, 1970.0], [408.0, 1976.0]], ('INDICATES SAVINGS', 0.9765257835388184)]]	{"store_name": "TARGET", "store_addr": "TUSCALOOSA-", "telephone": "205-462-1064", "date": "02/27/2018", "time": "03:31PM", "subtotal": "$17.40", "tax": "$1.49", "total": "$18.02", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "SOURPUNCH", "item_value": "$4.39", "item_quantity": "1"}, {"item_key": "", "item_name": "SMARTIES", "item_value": "$5.02", "item_quantity": "1"}, {"item_key": "", "item_name": "CLOROX", "item_value": "$7.99", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[10.0, 7.0], [61.0, 7.0], [61.0, 18.0], [10.0, 18.0]], ('Sale#:115', 0.9218831658363342)], [[[10.0, 19.0], [152.0, 19.0], [152.0, 32.0], [10.0, 32.0]], ('Time:11/22/2008 6:50:01 PM', 0.9060106873512268)], [[[1.0, 42.0], [58.0, 44.0], [57.0, 62.0], [1.0, 59.0]], ('Guest:7', 0.9332812428474426)], [[[8.0, 33.0], [64.0, 33.0], [64.0, 44.0], [8.0, 44.0]], ('Table:211', 0.9278091788291931)], [[[9.0, 59.0], [103.0, 59.0], [103.0, 72.0], [9.0, 72.0]], ('Employee:Abimae', 0.9587262868881226)], [[[9.0, 85.0], [35.0, 85.0], [35.0, 100.0], [9.0, 100.0]], ('Iten', 0.9416788816452026)], [[[127.0, 83.0], [174.0, 85.0], [173.0, 100.0], [127.0, 97.0]], ('Quantity', 0.9948225617408752)], [[[198.0, 85.0], [228.0, 85.0], [228.0, 99.0], [198.0, 99.0]], ('Total', 0.9932109117507935)], [[[10.0, 111.0], [41.0, 111.0], [41.0, 125.0], [10.0, 125.0]], ('Sodas', 0.9981197118759155)], [[[164.0, 111.0], [176.0, 111.0], [176.0, 125.0], [164.0, 125.0]], ('4', 0.9858858585357666)], [[[196.0, 111.0], [229.0, 111.0], [229.0, 125.0], [196.0, 125.0]], ('$9.16', 0.9922344088554382)], [[[9.0, 124.0], [93.0, 125.0], [93.0, 139.0], [9.0, 138.0]], ('Buffet 2 Adulto', 0.9460277557373047)], [[[166.0, 126.0], [175.0, 126.0], [175.0, 138.0], [166.0, 138.0]], ('6', 0.9815077185630798)], [[[193.0, 125.0], [229.0, 125.0], [229.0, 139.0], [193.0, 139.0]], ('$83.94', 0.9528523087501526)], [[[10.0, 139.0], [89.0, 139.0], [89.0, 151.0], [10.0, 151.0]], ('Buffet 2 Nios', 0.9411685466766357)], [[[167.0, 137.0], [176.0, 139.0], [172.0, 150.0], [163.0, 148.0]], ('1', 0.7220802903175354)], [[[197.0, 138.0], [229.0, 138.0], [229.0, 152.0], [197.0, 152.0]], ('$7.99', 0.9972550272941589)], [[[101.0, 190.0], [146.0, 190.0], [146.0, 204.0], [101.0, 204.0]], ('Subtotal', 0.9927294254302979)], [[[188.0, 190.0], [229.0, 190.0], [229.0, 204.0], [188.0, 204.0]], ('$101.09', 0.9962565302848816)], [[[70.0, 204.0], [148.0, 204.0], [148.0, 218.0], [70.0, 218.0]], ('Tax Municipal:', 0.9257554411888123)], [[[198.0, 204.0], [229.0, 204.0], [229.0, 218.0], [198.0, 218.0]], ('$1.02', 0.9979408383369446)], [[[123.0, 217.0], [148.0, 217.0], [148.0, 231.0], [123.0, 231.0]], ('IVU:', 0.9686968326568604)], [[[198.0, 217.0], [229.0, 217.0], [229.0, 231.0], [198.0, 231.0]], ('$6.07', 0.9958780407905579)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "11/22/2008", "time": "6:50:01PM", "subtotal": "$101.09", "tax": "$6.07 $1.02", "total": "", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "Buffet2Nitos", "item_value": "$7.99", "item_quantity": "1"}, {"item_key": "", "item_name": "Buffet2Adulto", "item_value": "$83.94", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "$9.16", "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	[[[[163.0, 22.0], [258.0, 19.0], [259.0, 41.0], [164.0, 44.0]], ('ATLANTIS', 0.995445728302002)], [[[186.0, 48.0], [238.0, 48.0], [238.0, 70.0], [186.0, 70.0]], ('NSON', 0.8495520353317261)], [[[29.0, 76.0], [187.0, 76.0], [187.0, 96.0], [29.0, 96.0]], ('9801021 Kenley', 0.9186211824417114)], [[[386.0, 72.0], [400.0, 72.0], [400.0, 89.0], [386.0, 89.0]], ('2', 0.9710822105407715)], [[[31.0, 128.0], [121.0, 128.0], [121.0, 149.0], [31.0, 149.0]], ('TBL83/1', 0.9082679748535156)], [[[205.0, 124.0], [293.0, 124.0], [293.0, 145.0], [205.0, 145.0]], ('1872', 0.9275120496749878)], [[[338.0, 122.0], [401.0, 122.0], [401.0, 144.0], [338.0, 144.0]], ('6ST2', 0.7995666265487671)], [[[122.0, 152.0], [305.0, 147.0], [305.0, 169.0], [123.0, 173.0]], ('JUN13146:24PM', 0.9020860195159912)], [[[56.0, 202.0], [161.0, 200.0], [161.0, 220.0], [56.0, 222.0]], ('1 Ceviche', 0.86680668592453)], [[[305.0, 197.0], [365.0, 197.0], [365.0, 219.0], [305.0, 219.0]], ('22.00', 0.9900324940681458)], [[[56.0, 227.0], [182.0, 224.0], [183.0, 244.0], [56.0, 247.0]], ('1 BlackCod', 0.9332496523857117)], [[[306.0, 221.0], [366.0, 223.0], [365.0, 245.0], [305.0, 243.0]], ('38.00', 0.9818390011787415)], [[[56.0, 252.0], [226.0, 247.0], [226.0, 267.0], [56.0, 272.0]], ('1 Bahamian Roll', 0.846526026725769)], [[[305.0, 244.0], [367.0, 248.0], [366.0, 273.0], [304.0, 269.0]], ('22.00', 0.9917537569999695)], [[[75.0, 279.0], [184.0, 273.0], [185.0, 294.0], [76.0, 300.0]], ('House Cut', 0.9141440987586975)], [[[307.0, 274.0], [368.0, 274.0], [368.0, 296.0], [307.0, 296.0]], ('18.00', 0.9828500747680664)], [[[77.0, 303.0], [195.0, 298.0], [196.0, 319.0], [78.0, 324.0]], ('Smk Salmon', 0.9017199277877808)], [[[306.0, 297.0], [369.0, 300.0], [368.0, 326.0], [305.0, 323.0]], ('24.00', 0.9895088076591492)], [[[57.0, 328.0], [250.0, 322.0], [251.0, 342.0], [57.0, 348.0]], ('1 Nobu Cheesecake', 0.9317640662193298)], [[[59.0, 353.0], [228.0, 348.0], [228.0, 368.0], [59.0, 373.0]], ('1 Miso Cappucin', 0.9367896318435669)], [[[309.0, 348.0], [368.0, 352.0], [367.0, 374.0], [308.0, 370.0]], ('14.00', 0.9695248603820801)], [[[80.0, 376.0], [196.0, 372.0], [197.0, 394.0], [80.0, 397.0]], ('Food Sales', 0.9567434191703796)], [[[300.0, 373.0], [369.0, 377.0], [368.0, 399.0], [299.0, 395.0]], ('155.00', 0.9893057942390442)], [[[83.0, 401.0], [219.0, 398.0], [219.0, 418.0], [83.0, 421.0]], ('15%GRATUITY', 0.9788158535957336)], [[[308.0, 398.0], [371.0, 401.0], [370.0, 426.0], [307.0, 424.0]], ('23.25', 0.9879762530326843)], [[[83.0, 425.0], [196.0, 423.0], [197.0, 444.0], [83.0, 446.0]], ('Total Paid', 0.9703644514083862)], [[[299.0, 427.0], [370.0, 427.0], [370.0, 448.0], [299.0, 448.0]], ('178.25', 0.9644115567207336)]]	{"store_name": "ATLANTIS NOSU", "store_addr": "", "telephone": "", "date": "JUN13'14", "time": "6:24PM", "subtotal": "155.00", "tax": "", "total": "178.25", "ignore": "", "tips": "23.25", "line_items": [{"item_key": "", "item_name": "Ceviche", "item_value": "22.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BlackCod", "item_value": "38.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BahamianRoll", "item_value": "22.00", "item_quantity": "1"}, {"item_key": "", "item_name": "HouseCut", "item_value": "18.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SmkSalmon", "item_value": "24.00", "item_quantity": "1"}, {"item_key": "", "item_name": "NobuCheesecake", "item_value": "17.00", "item_quantity": "1"}, {"item_key": "", "item_name": "MisoCappucin", "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	[[[[120.0, 70.0], [212.0, 70.0], [212.0, 84.0], [120.0, 84.0]], ('POPPIES', 0.9967259168624878)], [[[86.0, 87.0], [246.0, 84.0], [246.0, 100.0], [87.0, 104.0]], ('55-59 OLD COMPTON STREET', 0.928299605846405)], [[[140.0, 103.0], [195.0, 103.0], [195.0, 118.0], [140.0, 118.0]], ('SOHO', 0.9955103397369385)], [[[92.0, 119.0], [242.0, 117.0], [242.0, 135.0], [92.0, 136.0]], ('LONDON W1D 6HW', 0.8943847417831421)], [[[34.0, 154.0], [69.0, 154.0], [69.0, 169.0], [34.0, 169.0]], ('YELIZ', 0.9951003789901733)], [[[153.0, 152.0], [177.0, 152.0], [177.0, 168.0], [153.0, 168.0]], ('REG', 0.9976953864097595)], [[[274.0, 150.0], [301.0, 150.0], [301.0, 166.0], [274.0, 166.0]], ('ID#1', 0.9345696568489075)], [[[33.0, 170.0], [164.0, 168.0], [164.0, 185.0], [33.0, 187.0]], ('SUNDAY 31JULY 2016', 0.9414790272712708)], [[[221.0, 167.0], [302.0, 165.0], [303.0, 182.0], [221.0, 184.0]], ('18:34000053', 0.9608396887779236)], [[[88.0, 220.0], [159.0, 219.0], [159.0, 234.0], [88.0, 235.0]], ('ORDER', 0.9955192804336548)], [[[168.0, 219.0], [211.0, 219.0], [211.0, 233.0], [168.0, 233.0]], ('NO:', 0.9151402115821838)], [[[205.0, 217.0], [250.0, 217.0], [250.0, 232.0], [205.0, 232.0]], ('44', 0.9985160827636719)], [[[30.0, 273.0], [43.0, 273.0], [43.0, 288.0], [30.0, 288.0]], ('1', 0.9824000597000122)], [[[74.0, 269.0], [140.0, 267.0], [140.0, 285.0], [74.0, 287.0]], ('CHIPS LRG', 0.9592517018318176)], [[[272.0, 265.0], [309.0, 265.0], [309.0, 280.0], [272.0, 280.0]], ('2.50', 0.9935563802719116)], [[[31.0, 289.0], [42.0, 289.0], [42.0, 307.0], [31.0, 307.0]], ('2', 0.972272515296936)], [[[73.0, 286.0], [127.0, 286.0], [127.0, 303.0], [73.0, 303.0]], ('COD REG', 0.9438248872756958)], [[[264.0, 282.0], [309.0, 279.0], [309.0, 297.0], [265.0, 300.0]], ('13.00', 0.9939095377922058)], [[[74.0, 304.0], [133.0, 304.0], [133.0, 321.0], [74.0, 321.0]], ('CALAMARI', 0.9961823225021362)], [[[273.0, 298.0], [311.0, 298.0], [311.0, 316.0], [273.0, 316.0]], ('6.50', 0.9890320301055908)], [[[32.0, 308.0], [39.0, 308.0], [39.0, 321.0], [32.0, 321.0]], ('1', 0.7790008187294006)], [[[72.0, 341.0], [110.0, 341.0], [110.0, 360.0], [72.0, 360.0]], ('TOTAL', 0.9972697496414185)], [[[229.0, 335.0], [313.0, 333.0], [313.0, 352.0], [230.0, 353.0]], ('22.00', 0.9969249963760376)], [[[72.0, 360.0], [107.0, 360.0], [107.0, 379.0], [72.0, 379.0]], ('CASH', 0.9974441528320312)], [[[273.0, 353.0], [316.0, 353.0], [316.0, 371.0], [273.0, 371.0]], ('22.00', 0.9641650319099426)], [[[189.0, 375.0], [236.0, 375.0], [236.0, 393.0], [189.0, 393.0]], ('VAT No', 0.9138805866241455)]]	{"store_name": "POPPIES", "store_addr": "55-59OLDCOMPTONSTREET SOHO LONDONW1D6HW", "telephone": "", "date": "SUNDAY31JULY2016", "time": "18:34", "subtotal": "", "tax": "", "total": "\u00a322.00", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "CHIPSLRG", "item_value": "\u00a32.50", "item_quantity": "1"}, {"item_key": "", "item_name": "CODREG", "item_value": "\u00a313.00", "item_quantity": "1"}, {"item_key": "", "item_name": "CALAMARI", "item_value": "\u00a36.50", "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	[[[[79.0, 0.0], [235.0, 0.0], [237.0, 65.0], [81.0, 70.0]], ('PRANT', 0.7056857347488403)], [[[107.0, 58.0], [203.0, 56.0], [203.0, 70.0], [107.0, 72.0]], ('restaewmt', 0.6710198521614075)], [[[95.0, 70.0], [221.0, 68.0], [221.0, 82.0], [95.0, 84.0]], ('SUERILMAL', 0.6787238121032715)], [[[126.0, 106.0], [192.0, 109.0], [191.0, 124.0], [125.0, 121.0]], ('933.ecetur', 0.9469891786575317)], [[[104.0, 123.0], [222.0, 123.0], [222.0, 137.0], [104.0, 137.0]], ('New 0rles LA 7016', 0.8802614212036133)], [[[124.0, 137.0], [199.0, 137.0], [199.0, 151.0], [124.0, 151.0]], ('504.5.162', 0.9658008217811584)], [[[67.0, 152.0], [259.0, 152.0], [259.0, 165.0], [67.0, 165.0]], ('wwwfranksresta.iratneuorleans.com', 0.9382770657539368)], [[[46.0, 179.0], [115.0, 179.0], [115.0, 193.0], [46.0, 193.0]], ('219 KATHY U', 0.9035734534263611)], [[[37.0, 208.0], [81.0, 208.0], [81.0, 223.0], [37.0, 223.0]], ('Tb6/1', 0.9787834286689758)], [[[134.0, 205.0], [187.0, 207.0], [186.0, 224.0], [133.0, 222.0]], ('Ch1750', 0.9742130637168884)], [[[244.0, 207.0], [288.0, 207.0], [288.0, 225.0], [244.0, 225.0]], ('Gst 4', 0.8981012105941772)], [[[110.0, 223.0], [211.0, 223.0], [211.0, 237.0], [110.0, 237.0]], ('Feb031572PM', 0.9466485977172852)], [[[45.0, 251.0], [127.0, 253.0], [127.0, 268.0], [45.0, 266.0]], ('1 GARLICBREAD', 0.943299412727356)], [[[240.0, 254.0], [269.0, 254.0], [269.0, 270.0], [240.0, 270.0]], ('3.95', 0.9813628196716309)], [[[40.0, 265.0], [86.0, 267.0], [85.0, 286.0], [39.0, 283.0]], ('2Diet', 0.9758122563362122)], [[[240.0, 268.0], [270.0, 271.0], [269.0, 287.0], [239.0, 284.0]], ('6.00', 0.9976774454116821)], [[[39.0, 282.0], [108.0, 284.0], [108.0, 302.0], [38.0, 299.0]], ('2 Iced Tea', 0.939496636390686)], [[[240.0, 286.0], [272.0, 286.0], [272.0, 303.0], [240.0, 303.0]], ('6.00', 0.9577759504318237)], [[[37.0, 298.0], [127.0, 302.0], [126.0, 319.0], [36.0, 315.0]], ('2 TASTE OF NO', 0.8985700011253357)], [[[236.0, 303.0], [271.0, 303.0], [271.0, 318.0], [236.0, 318.0]], ('33.90', 0.994505763053894)], [[[35.0, 314.0], [119.0, 317.0], [118.0, 335.0], [34.0, 332.0]], ('1 Whole Muff', 0.9038203358650208)], [[[235.0, 316.0], [273.0, 319.0], [272.0, 338.0], [234.0, 335.0]], ('14.95', 0.9961633682250977)], [[[34.0, 331.0], [97.0, 334.0], [96.0, 352.0], [33.0, 349.0]], ('1Alfredo', 0.9633756875991821)], [[[235.0, 334.0], [274.0, 337.0], [273.0, 356.0], [234.0, 353.0]], ('14.95', 0.9958453178405762)], [[[43.0, 368.0], [75.0, 368.0], [75.0, 387.0], [43.0, 387.0]], ('Food', 0.997059166431427)], [[[236.0, 371.0], [277.0, 371.0], [277.0, 393.0], [236.0, 393.0]], ('79.75', 0.995848536491394)], [[[42.0, 386.0], [67.0, 389.0], [65.0, 405.0], [41.0, 402.0]], ('Tax', 0.9948101043701172)], [[[243.0, 391.0], [277.0, 391.0], [277.0, 410.0], [243.0, 410.0]], ('7.78', 0.9957714080810547)], [[[41.0, 407.0], [105.0, 407.0], [105.0, 424.0], [41.0, 424.0]], ('TOTAL OUE', 0.9391698837280273)], [[[201.0, 408.0], [277.0, 410.0], [276.0, 431.0], [201.0, 429.0]], ('87.53', 0.9964832067489624)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "Feb03'15", "time": "", "subtotal": "79.75", "tax": "7.78", "total": "87.53", "ignore": " wwwfranksresta.iratneworleans.com ", "tips": "", "line_items": [{"item_key": "", "item_name": "GARLICBREAD", "item_value": "3.95", "item_quantity": "1"}, {"item_key": "", "item_name": "Diet", "item_value": "6.00", "item_quantity": "1"}, {"item_key": "", "item_name": "IcedTea", "item_value": "6.00", "item_quantity": "1"}, {"item_key": "", "item_name": "TASTEOFNO", "item_value": "33.90", "item_quantity": "1"}, {"item_key": "", "item_name": "WholeMuff", "item_value": "14.95", "item_quantity": "1"}, {"item_key": "", "item_name": "Alfredo", "item_value": "14.95", "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	[[[[293.0, 29.0], [490.0, 21.0], [492.0, 72.0], [295.0, 80.0]], ("chili's", 0.9479571580886841)], [[[350.0, 150.0], [414.0, 150.0], [414.0, 169.0], [350.0, 169.0]], ("Chili's", 0.9783000946044922)], [[[315.0, 171.0], [457.0, 165.0], [458.0, 187.0], [316.0, 193.0]], ('4211 Waialae Ave', 0.9295129776000977)], [[[198.0, 210.0], [309.0, 210.0], [309.0, 231.0], [198.0, 231.0]], ('Server:CHAD', 0.9501550197601318)], [[[483.0, 205.0], [576.0, 203.0], [577.0, 225.0], [484.0, 227.0]], ('10/17/2014', 0.9978154301643372)], [[[197.0, 230.0], [238.0, 230.0], [238.0, 250.0], [197.0, 250.0]], ('41/1', 0.9973925948143005)], [[[511.0, 226.0], [577.0, 226.0], [577.0, 245.0], [511.0, 245.0]], ('9:45PM', 0.9275797009468079)], [[[197.0, 251.0], [281.0, 251.0], [281.0, 270.0], [197.0, 270.0]], ('Guests:2', 0.9517455101013184)], [[[529.0, 246.0], [578.0, 246.0], [578.0, 266.0], [529.0, 266.0]], ('30194', 0.9991074800491333)], [[[194.0, 269.0], [308.0, 272.0], [307.0, 293.0], [194.0, 289.0]], ('Reprint #:1', 0.9245796203613281)], [[[196.0, 315.0], [443.0, 315.0], [443.0, 328.0], [196.0, 328.0]], ('*************************', 0.9238155484199524)], [[[194.0, 332.0], [380.0, 334.0], [380.0, 352.0], [194.0, 350.0]], ('YOUR OPINION MATTERS', 0.9619661569595337)], [[[194.0, 356.0], [453.0, 356.0], [453.0, 371.0], [194.0, 371.0]], ('**************************', 0.9631714820861816)], [[[191.0, 421.0], [271.0, 423.0], [270.0, 445.0], [190.0, 442.0]], ('HC Crisp', 0.9511234164237976)], [[[536.0, 418.0], [583.0, 418.0], [583.0, 438.0], [536.0, 438.0]], ('14.99', 0.9982345700263977)], [[[194.0, 446.0], [298.0, 445.0], [298.0, 464.0], [194.0, 465.0]], ('Loaded Mash', 0.9700580835342407)], [[[538.0, 438.0], [582.0, 438.0], [582.0, 460.0], [538.0, 460.0]], ('2.99', 0.9963852167129517)], [[[195.0, 469.0], [238.0, 469.0], [238.0, 489.0], [195.0, 489.0]], ('Ribs', 0.9963843822479248)], [[[531.0, 461.0], [580.0, 461.0], [580.0, 481.0], [531.0, 481.0]], ('23.39', 0.9956889152526855)], [[[195.0, 492.0], [343.0, 487.0], [343.0, 508.0], [195.0, 513.0]], ('No Bev 3 @0.00', 0.9268827438354492)], [[[536.0, 483.0], [577.0, 483.0], [577.0, 503.0], [536.0, 503.0]], ('0.00', 0.9951317310333252)], [[[536.0, 504.0], [576.0, 504.0], [576.0, 524.0], [536.0, 524.0]], ('3.99', 0.9981030225753784)], [[[198.0, 514.0], [424.0, 508.0], [424.0, 527.0], [198.0, 532.0]], ('Dinner House Sa1 w/Entree', 0.9430862665176392)], [[[200.0, 534.0], [300.0, 534.0], [300.0, 553.0], [200.0, 553.0]], ('Spinach Dip', 0.9628076553344727)], [[[529.0, 526.0], [574.0, 524.0], [576.0, 545.0], [530.0, 547.0]], ('10.29', 0.994853138923645)], [[[199.0, 555.0], [286.0, 555.0], [286.0, 577.0], [199.0, 577.0]], ('Mango Tea', 0.9643032550811768)], [[[535.0, 547.0], [575.0, 547.0], [575.0, 567.0], [535.0, 567.0]], ('3.79', 0.9956541657447815)], [[[201.0, 578.0], [276.0, 578.0], [276.0, 597.0], [201.0, 597.0]], ('Beverage', 0.9959984421730042)], [[[536.0, 569.0], [575.0, 569.0], [575.0, 589.0], [536.0, 589.0]], ('3.29', 0.9970507025718689)], [[[203.0, 644.0], [460.0, 638.0], [460.0, 657.0], [204.0, 663.0]], ('We Invite you to complete our', 0.9427057504653931)], [[[204.0, 667.0], [409.0, 661.0], [409.0, 679.0], [205.0, 685.0]], ('GUEST EXPERIENCE SURVEY', 0.9453293085098267)], [[[203.0, 688.0], [383.0, 683.0], [384.0, 704.0], [204.0, 709.0]], ('YOU COULD WIN $1,000', 0.9043390154838562)], [[[203.0, 710.0], [381.0, 707.0], [382.0, 726.0], [204.0, 729.0]], ('A WINNER EVERY DAY!!', 0.9118788838386536)], [[[201.0, 732.0], [429.0, 729.0], [429.0, 750.0], [202.0, 753.0]], ('Visit www.tell-chilis.com', 0.9738425612449646)], [[[201.0, 756.0], [348.0, 753.0], [349.0, 774.0], [202.0, 777.0]], ('YOUR SURVEY CODE', 0.9373997449874878)], [[[201.0, 781.0], [241.0, 781.0], [241.0, 801.0], [201.0, 801.0]], ('9452', 0.9995826482772827)], [[[199.0, 804.0], [376.0, 802.0], [376.0, 824.0], [199.0, 826.0]], ('Please enter within', 0.9623156189918518)], [[[201.0, 826.0], [344.0, 828.0], [344.0, 850.0], [200.0, 848.0]], ('the next 4 days', 0.934357225894928)], [[[199.0, 855.0], [402.0, 855.0], [402.0, 873.0], [199.0, 873.0]], ('No purchase necessary.', 0.9605617523193359)], [[[197.0, 877.0], [386.0, 877.0], [386.0, 898.0], [197.0, 898.0]], ('Must be 18 or older.', 0.929096519947052)], [[[196.0, 902.0], [395.0, 898.0], [395.0, 919.0], [196.0, 923.0]], ('Void where prohibited', 0.9717339873313904)], [[[197.0, 925.0], [479.0, 921.0], [480.0, 942.0], [197.0, 946.0]], ('See website for complete rules', 0.9478791356086731)], [[[197.0, 950.0], [421.0, 946.0], [421.0, 967.0], [197.0, 971.0]], ('and sweepstakes details.', 0.9702968597412109)]]	{"store_name": "Chili's chili's", "store_addr": "4211WaialaeAve", "telephone": "", "date": "10/17/2014", "time": "9:45PM", "subtotal": "", "tax": "", "total": "", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "Beverage", "item_value": "3.29", "item_quantity": "1"}, {"item_key": "", "item_name": "MangoTea", "item_value": "3.79", "item_quantity": "1"}, {"item_key": "", "item_name": "SpinachDip", "item_value": "10.29", "item_quantity": "1"}, {"item_key": "", "item_name": "DinnerHouseSalW/Entree", "item_value": "3.99", "item_quantity": "1"}, {"item_key": "", "item_name": "Ribs", "item_value": "23.39", "item_quantity": "1"}, {"item_key": "", "item_name": "LoadedMash", "item_value": "2.99", "item_quantity": "1"}, {"item_key": "", "item_name": "HCCrisp", "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	[[[[465.0, 172.0], [742.0, 161.0], [745.0, 220.0], [468.0, 232.0]], ('TARGET', 0.9953413009643555)], [[[481.0, 231.0], [740.0, 224.0], [741.0, 253.0], [482.0, 260.0]], ('EXPECT MORE.PAY LESS:', 0.9169068932533264)], [[[313.0, 299.0], [811.0, 287.0], [812.0, 321.0], [314.0, 333.0]], ('HOUSTON CENTRAL-713-331-0376', 0.9655939936637878)], [[[196.0, 484.0], [315.0, 484.0], [315.0, 515.0], [196.0, 515.0]], ('GROCERY', 0.9976516366004944)], [[[459.0, 512.0], [665.0, 508.0], [666.0, 544.0], [459.0, 548.0]], ('AF TRAIL MIX', 0.9267093539237976)], [[[690.0, 510.0], [732.0, 510.0], [732.0, 542.0], [690.0, 542.0]], ('FN', 0.994518518447876)], [[[789.0, 504.0], [883.0, 497.0], [886.0, 535.0], [791.0, 541.0]], ('$5.69', 0.9930547475814819)], [[[195.0, 515.0], [349.0, 515.0], [349.0, 544.0], [195.0, 544.0]], ('071080329', 0.9984351396560669)], [[[692.0, 541.0], [728.0, 541.0], [728.0, 571.0], [692.0, 571.0]], ('FN', 0.9956395626068115)], [[[789.0, 533.0], [884.0, 528.0], [886.0, 566.0], [791.0, 570.0]], ('$7.39', 0.9895461797714233)], [[[193.0, 546.0], [348.0, 546.0], [348.0, 575.0], [193.0, 575.0]], ('071080983', 0.9987989068031311)], [[[461.0, 544.0], [662.0, 542.0], [663.0, 573.0], [461.0, 575.0]], ('AF TRAIL MIX', 0.9255044460296631)], [[[193.0, 575.0], [346.0, 575.0], [346.0, 604.0], [193.0, 604.0]], ('071200704', 0.9984546303749084)], [[[462.0, 575.0], [662.0, 575.0], [662.0, 604.0], [462.0, 604.0]], ('KIND GRANOLA', 0.9554038047790527)], [[[693.0, 568.0], [730.0, 574.0], [726.0, 603.0], [689.0, 597.0]], ('FN', 0.9740818738937378)], [[[791.0, 566.0], [882.0, 562.0], [884.0, 595.0], [792.0, 599.0]], ('$4.99', 0.9924766421318054)], [[[190.0, 602.0], [345.0, 605.0], [344.0, 636.0], [189.0, 632.0]], ('071200706', 0.9980941414833069)], [[[459.0, 604.0], [662.0, 602.0], [663.0, 632.0], [459.0, 634.0]], ('KIND GRANOLA', 0.9535694122314453)], [[[692.0, 602.0], [730.0, 602.0], [730.0, 632.0], [692.0, 632.0]], ('FN', 0.9966013431549072)], [[[789.0, 596.0], [884.0, 591.0], [886.0, 627.0], [791.0, 631.0]], ('$4.99', 0.9949617385864258)], [[[188.0, 632.0], [348.0, 636.0], [347.0, 667.0], [188.0, 663.0]], ('071200825', 0.9982212781906128)], [[[457.0, 634.0], [612.0, 634.0], [612.0, 663.0], [457.0, 663.0]], ('LUNA PROT', 0.9440994262695312)], [[[694.0, 631.0], [732.0, 631.0], [732.0, 661.0], [694.0, 661.0]], ('FN', 0.992748498916626)], [[[793.0, 626.0], [887.0, 626.0], [887.0, 661.0], [793.0, 661.0]], ('$5.00', 0.9975191950798035)], [[[443.0, 665.0], [631.0, 663.0], [631.0, 694.0], [444.0, 695.0]], ('Saved $0.79', 0.9691705703735352)], [[[613.0, 662.0], [799.0, 656.0], [800.0, 690.0], [614.0, 696.0]], ('9off $5.79', 0.9549604654312134)], [[[188.0, 694.0], [344.0, 694.0], [344.0, 724.0], [188.0, 724.0]], ('211340312', 0.9989539384841919)], [[[459.0, 695.0], [626.0, 695.0], [626.0, 724.0], [459.0, 724.0]], ('CRUNCH PAK', 0.9669081568717957)], [[[688.0, 690.0], [735.0, 690.0], [735.0, 726.0], [688.0, 726.0]], ('FN', 0.9928615093231201)], [[[789.0, 689.0], [886.0, 685.0], [887.0, 720.0], [790.0, 725.0]], ('$5.98', 0.9945664405822754)], [[[440.0, 722.0], [649.0, 726.0], [648.0, 757.0], [440.0, 753.0]], ('2$2.99 ea', 0.9467747211456299)], [[[188.0, 755.0], [341.0, 755.0], [341.0, 785.0], [188.0, 785.0]], ('266090011', 0.9971494674682617)], [[[457.0, 755.0], [661.0, 755.0], [661.0, 784.0], [457.0, 784.0]], ('1.5LB GRAPES', 0.9589745998382568)], [[[694.0, 753.0], [732.0, 753.0], [732.0, 784.0], [694.0, 784.0]], ('FN', 0.9945865869522095)], [[[795.0, 748.0], [888.0, 748.0], [888.0, 784.0], [795.0, 784.0]], ('$3.99', 0.994261622428894)], [[[188.0, 787.0], [341.0, 787.0], [341.0, 816.0], [188.0, 816.0]], ('266090012', 0.9960099458694458)], [[[457.0, 785.0], [664.0, 785.0], [664.0, 814.0], [457.0, 814.0]], ('1.5LB GRAPES', 0.9551045298576355)], [[[690.0, 785.0], [732.0, 785.0], [732.0, 814.0], [690.0, 814.0]], ('FN', 0.995542049407959)], [[[795.0, 780.0], [888.0, 780.0], [888.0, 816.0], [795.0, 816.0]], ('$3.99', 0.9958235025405884)], [[[186.0, 819.0], [343.0, 819.0], [343.0, 848.0], [186.0, 848.0]], ('267008011', 0.9962360858917236)], [[[452.0, 818.0], [569.0, 818.0], [569.0, 848.0], [452.0, 848.0]], ('BANANA', 0.99649977684021)], [[[690.0, 814.0], [735.0, 814.0], [735.0, 850.0], [690.0, 850.0]], ('FN', 0.9935146570205688)], [[[795.0, 811.0], [890.0, 811.0], [890.0, 848.0], [795.0, 848.0]], ('$2.03', 0.9950883984565735)], [[[437.0, 845.0], [649.0, 848.0], [648.0, 884.0], [436.0, 880.0]], ('7@$0.29 ea', 0.9162208437919617)], [[[593.0, 911.0], [727.0, 911.0], [727.0, 942.0], [593.0, 942.0]], ('SUBTOTAL', 0.9968243837356567)], [[[781.0, 910.0], [892.0, 910.0], [892.0, 940.0], [781.0, 940.0]], ('$44.05', 0.9975740909576416)], [[[214.0, 922.0], [592.0, 913.0], [593.0, 948.0], [214.0, 957.0]], ('no-neiiedt lebnu', 0.6629892587661743)], [[[626.0, 942.0], [734.0, 942.0], [734.0, 972.0], [626.0, 972.0]], ('NO TAX', 0.9296175837516785)], [[[795.0, 940.0], [894.0, 940.0], [894.0, 976.0], [795.0, 976.0]], ('$0.00', 0.9962712526321411)], [[[615.0, 972.0], [734.0, 972.0], [734.0, 1008.0], [615.0, 1008.0]], ('STOTAL', 0.990395724773407)], [[[781.0, 972.0], [895.0, 972.0], [895.0, 1008.0], [781.0, 1008.0]], ('$44.05', 0.9961293339729309)], [[[440.0, 1039.0], [728.0, 1039.0], [728.0, 1068.0], [440.0, 1068.0]], ('*5452 VISA CHARGE', 0.925730288028717)], [[[784.0, 1040.0], [894.0, 1040.0], [894.0, 1071.0], [784.0, 1071.0]], ('$44.05', 0.9947701096534729)], [[[235.0, 1061.0], [424.0, 1061.0], [424.0, 1096.0], [235.0, 1096.0]], ('Juaotan', 0.6181620359420776)], [[[538.0, 1069.0], [897.0, 1075.0], [897.0, 1109.0], [537.0, 1103.0]], ('AID:A0000000031010', 0.9797725677490234)], [[[541.0, 1105.0], [734.0, 1105.0], [734.0, 1139.0], [541.0, 1139.0]], ('VISA CREDIT', 0.9595109820365906)], [[[327.0, 1115.0], [530.0, 1112.0], [531.0, 1147.0], [327.0, 1151.0]], ('yollod-epr', 0.7058607339859009)], [[[381.0, 1171.0], [718.0, 1171.0], [718.0, 1205.0], [381.0, 1205.0]], ('#INDICATES SAVINGS', 0.966205358505249)], [[[179.0, 1268.0], [962.0, 1277.0], [961.0, 1318.0], [179.0, 1309.0]], ('REC#2-6155-2093-0080-5770-4 VCD#759-255-744', 0.9806399941444397)], [[[228.0, 1373.0], [866.0, 1384.0], [865.0, 1423.0], [228.0, 1412.0]], ('For information regarding the legal', 0.9514786005020142)], [[[230.0, 1409.0], [892.0, 1421.0], [891.0, 1461.0], [229.0, 1448.0]], ('disposition and recycling of covered', 0.9584528803825378)], [[[242.0, 1443.0], [873.0, 1457.0], [872.0, 1498.0], [241.0, 1484.0]], ('television equipment (TVs,please', 0.9431192874908447)], [[[277.0, 1475.0], [839.0, 1493.0], [837.0, 1539.0], [276.0, 1521.0]], ('visit www.TexasRecyclesTVs.org', 0.9672452807426453)]]	{"store_name": "TARGET", "store_addr": "HOUSTONCENTRAL", "telephone": "713-331 0376", "date": "06/03/2016", "time": "12:24PM", "subtotal": "$44.05", "tax": "$0.00", "total": "$44.05 $44.05", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "AFTRAILMIX", "item_value": "$5.69", "item_quantity": "1"}, {"item_key": "", "item_name": "AFTRAILMIX", "item_value": "$7.39", "item_quantity": "1"}, {"item_key": "", "item_name": "KINDGRANOLA", "item_value": "$4.99", "item_quantity": "1"}, {"item_key": "", "item_name": "KINDGRANOLA", "item_value": "$4.99", "item_quantity": "1"}, {"item_key": "", "item_name": "LUNAPROT", "item_value": "$5.00", "item_quantity": "1"}, {"item_key": "", "item_name": "CRUNCHPAK", "item_value": "$5.98", "item_quantity": "1"}, {"item_key": "", "item_name": "1.5LBGRAPES", "item_value": "$3.99", "item_quantity": "1"}, {"item_key": "", "item_name": "1.5LBGRAPES", "item_value": "$3.99", "item_quantity": "1"}, {"item_key": "", "item_name": "BANANA", "item_value": "$2.03", "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	[[[[110.0, 1.0], [221.0, 1.0], [221.0, 14.0], [110.0, 14.0]], ('Hotel Okura Amsterdam', 0.8960322141647339)], [[[105.0, 13.0], [224.0, 11.0], [225.0, 25.0], [105.0, 27.0]], ('Ferd!nand Bolstraat 333', 0.9300785660743713)], [[[122.0, 26.0], [218.0, 26.0], [218.0, 39.0], [122.0, 39.0]], ('1072 LH Ansterdan', 0.9162164330482483)], [[[134.0, 38.0], [196.0, 35.0], [197.0, 48.0], [135.0, 51.0]], ('0206787111', 0.9822769165039062)], [[[57.0, 63.0], [148.0, 63.0], [148.0, 77.0], [57.0, 77.0]], ('Server:Inou.y.', 0.8562936186790466)], [[[223.0, 61.0], [276.0, 61.0], [276.0, 75.0], [223.0, 75.0]], ('07/07/2013', 0.9972969889640808)], [[[58.0, 76.0], [106.0, 76.0], [106.0, 90.0], [58.0, 90.0]], ('Cashier:', 0.9133528470993042)], [[[58.0, 89.0], [120.0, 89.0], [120.0, 103.0], [58.0, 103.0]], ('Table 903/1', 0.9468583464622498)], [[[232.0, 87.0], [276.0, 85.0], [277.0, 100.0], [233.0, 102.0]], ('10:58PM', 0.8859039545059204)], [[[60.0, 103.0], [111.0, 103.0], [111.0, 114.0], [60.0, 114.0]], ('Guests:2', 0.9608269333839417)], [[[248.0, 99.0], [277.0, 99.0], [277.0, 114.0], [248.0, 114.0]], ('70274', 0.9940077066421509)], [[[61.0, 116.0], [126.0, 116.0], [126.0, 127.0], [61.0, 127.0]], ('Reprint #2', 0.9308484196662903)], [[[60.0, 127.0], [165.0, 126.0], [165.0, 139.0], [60.0, 140.0]], ('Order Type: ALREADY', 0.9179472923278809)], [[[60.0, 139.0], [161.0, 138.0], [161.0, 152.0], [60.0, 153.0]], ('Area:Sushi Counter', 0.9306162595748901)], [[[61.0, 164.0], [145.0, 164.0], [145.0, 177.0], [61.0, 177.0]], ('Heineken Draught', 0.9433081150054932)], [[[251.0, 160.0], [279.0, 160.0], [279.0, 175.0], [251.0, 175.0]], ('5.50', 0.9763822555541992)], [[[60.0, 177.0], [195.0, 175.0], [195.0, 188.0], [60.0, 190.0]], ('Hor1n300 Bottle 2 40.00)', 0.8793484568595886)], [[[248.0, 174.0], [278.0, 174.0], [278.0, 188.0], [248.0, 188.0]], ('80.00', 0.9903353452682495)], [[[61.0, 189.0], [142.0, 188.0], [142.0, 202.0], [61.0, 203.0]], ('Horin300 Bottle', 0.9253889918327332)], [[[248.0, 186.0], [278.0, 186.0], [278.0, 200.0], [248.0, 200.0]], ('40.00', 0.9892886281013489)], [[[64.0, 203.0], [122.0, 203.0], [122.0, 214.0], [64.0, 214.0]], ('Naseko Tofu', 0.9284719824790955)], [[[254.0, 199.0], [277.0, 199.0], [277.0, 211.0], [254.0, 211.0]], ('7.00', 0.9824092984199524)], [[[62.0, 214.0], [142.0, 212.0], [142.0, 226.0], [62.0, 227.0]], ('Wakane Kyur1 Su', 0.8635897040367126)], [[[250.0, 212.0], [276.0, 212.0], [276.0, 223.0], [250.0, 223.0]], ('12.0.', 0.9136805534362793)], [[[62.0, 228.0], [117.0, 225.0], [118.0, 238.0], [63.0, 240.0]], ('Gyu Sashi', 0.8753536343574524)], [[[251.0, 224.0], [277.0, 224.0], [277.0, 236.0], [251.0, 236.0]], ('18.00', 0.9947473406791687)], [[[62.0, 238.0], [136.0, 236.0], [137.0, 250.0], [63.0, 252.0]], ('Toro 469.00', 0.9047238826751709)], [[[249.0, 235.0], [279.0, 235.0], [279.0, 249.0], [249.0, 249.0]], ('36.00', 0.9659267663955688)], [[[62.0, 251.0], [146.0, 250.0], [146.0, 264.0], [62.0, 265.0]], ('Maguro 26.00', 0.9218510985374451)], [[[250.0, 247.0], [279.0, 247.0], [279.0, 262.0], [250.0, 262.0]], ('12.00', 0.9908868670463562)], [[[62.0, 263.0], [146.0, 263.0], [146.0, 277.0], [62.0, 277.0]], ('Hirame 4 06.00', 0.8768510818481445)], [[[153.0, 259.0], [241.0, 265.0], [238.0, 308.0], [150.0, 303.0]], ('COP', 0.9937684535980225)], [[[249.0, 261.0], [277.0, 259.0], [278.0, 273.0], [250.0, 276.0]], ('34.00', 0.8969148397445679)], [[[61.0, 276.0], [147.0, 275.0], [147.0, 289.0], [61.0, 290.0]], ('Ama Eb1 245.00', 0.8682705163955688)], [[[249.0, 270.0], [279.0, 272.0], [278.0, 287.0], [248.0, 284.0]], ('0.00', 0.9793819785118103)], [[[62.0, 289.0], [131.0, 287.0], [132.0, 300.0], [63.0, 303.0]], ('AJ135.00', 0.9483002424240112)], [[[251.0, 285.0], [279.0, 285.0], [279.0, 300.0], [251.0, 300.0]], ('15.00', 0.9940439462661743)], [[[61.0, 302.0], [133.0, 299.0], [134.0, 313.0], [62.0, 316.0]], ('ka 405.00', 0.8791171908378601)], [[[251.0, 297.0], [279.0, 297.0], [279.0, 311.0], [251.0, 311.0]], ('20.00', 0.9852762222290039)], [[[62.0, 316.0], [141.0, 312.0], [142.0, 326.0], [63.0, 329.0]], ('Unag2 e8.00)', 0.8483347296714783)], [[[251.0, 309.0], [281.0, 309.0], [281.0, 324.0], [251.0, 324.0]], ('16.00', 0.9884936213493347)], [[[64.0, 326.0], [134.0, 326.0], [134.0, 340.0], [64.0, 340.0]], ('Sashimi Carte', 0.9474655985832214)], [[[250.0, 322.0], [282.0, 322.0], [282.0, 337.0], [250.0, 337.0]], ('90.00', 0.9924116134643555)], [[[253.0, 336.0], [283.0, 336.0], [283.0, 347.0], [253.0, 347.0]], ('5.50', 0.9040432572364807)]]	{"store_name": "HotelOkuraAmsterdam", "store_addr": "1072LHAmsterdam FerdinandBolstraat333", "telephone": "0206787111", "date": "07/07/2013", "time": "10:58PM", "subtotal": "", "tax": "", "total": "", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "SashimiCarte", "item_value": "5.50", "item_quantity": "1"}, {"item_key": "", "item_name": "Unagl", "item_value": "80.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Aji", "item_value": "40.00", "item_quantity": "1"}, {"item_key": "", "item_name": "AmaEbi", "item_value": "7.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Hirame", "item_value": "18.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Maguro", "item_value": "36.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Toro", "item_value": "12.00", "item_quantity": "1"}, {"item_key": "", "item_name": "GyuSashi", "item_value": "24.00", "item_quantity": "1"}, {"item_key": "", "item_name": "WakameKyuriSu", "item_value": "10.00", "item_quantity": "1"}, {"item_key": "", "item_name": "NaeekoTofu", "item_value": "15.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Horin300Bottle", "item_value": "20.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Horin300Bottle", "item_value": "16.00", "item_quantity": "1"}, {"item_key": "", "item_name": "HeinakenDraught", "item_value": "90.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "6.50", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[38.0, 23.0], [217.0, 40.0], [215.0, 57.0], [37.0, 40.0]], ('Brandi Pizzeria CW', 0.8966653347015381)], [[[78.0, 42.0], [104.0, 42.0], [104.0, 49.0], [78.0, 49.0]], ('City', 0.6996707320213318)], [[[89.0, 45.0], [166.0, 52.0], [165.0, 65.0], [88.0, 58.0]], ('POBx31309', 0.8045740723609924)], [[[74.0, 65.0], [173.0, 65.0], [173.0, 79.0], [74.0, 79.0]], ('Phone04-3854811', 0.9478515386581421)], [[[93.0, 56.0], [158.0, 59.0], [158.0, 70.0], [93.0, 67.0]], ('DubaUAE', 0.9488674998283386)], [[[45.0, 79.0], [206.0, 77.0], [206.0, 91.0], [45.0, 93.0]], ('Ema11:[email protected]', 0.9072560667991638)], [[[96.0, 104.0], [153.0, 104.0], [153.0, 119.0], [96.0, 119.0]], ('Pre-Receipt', 0.9961206316947937)], [[[30.0, 133.0], [63.0, 133.0], [63.0, 144.0], [30.0, 144.0]], ('Slip:', 0.8956584930419922)], [[[60.0, 131.0], [159.0, 131.0], [159.0, 144.0], [60.0, 144.0]], ('000008P281000009075', 0.9271381497383118)], [[[29.0, 144.0], [95.0, 144.0], [95.0, 158.0], [29.0, 158.0]], ('Staff:Brandi', 0.9445573687553406)], [[[30.0, 156.0], [136.0, 154.0], [136.0, 168.0], [30.0, 170.0]], ('Date:12/13/14 4:43', 0.9295629858970642)], [[[33.0, 170.0], [79.0, 170.0], [79.0, 181.0], [33.0, 181.0]], ('Table:60', 0.8445088863372803)], [[[34.0, 182.0], [98.0, 182.0], [98.0, 193.0], [34.0, 193.0]], ('Terminal No.:', 0.8592628836631775)], [[[114.0, 180.0], [141.0, 180.0], [141.0, 193.0], [114.0, 193.0]], ('BP2B1', 0.9507899284362793)], [[[35.0, 206.0], [90.0, 206.0], [90.0, 217.0], [35.0, 217.0]], ('Description', 0.9905602931976318)], [[[183.0, 203.0], [216.0, 203.0], [216.0, 217.0], [183.0, 217.0]], ('Asount', 0.9624702334403992)], [[[35.0, 225.0], [92.0, 227.0], [92.0, 241.0], [34.0, 239.0]], ('1 Kargarita', 0.9088944792747498)], [[[188.0, 225.0], [216.0, 225.0], [216.0, 239.0], [188.0, 239.0]], ('65.00', 0.9692003130912781)], [[[33.0, 236.0], [134.0, 238.0], [134.0, 251.0], [32.0, 249.0]], ('1Black Olives Gaeta', 0.8488536477088928)], [[[192.0, 238.0], [215.0, 238.0], [215.0, 250.0], [192.0, 250.0]], ('5.00', 0.9970943927764893)], [[[34.0, 250.0], [89.0, 250.0], [89.0, 261.0], [34.0, 261.0]], ('1 Margarita', 0.9008803963661194)], [[[188.0, 248.0], [217.0, 248.0], [217.0, 262.0], [188.0, 262.0]], ('65.00', 0.9916974306106567)], [[[29.0, 259.0], [146.0, 259.0], [146.0, 272.0], [29.0, 272.0]], ('60 Mushroom Button Whit', 0.8422987461090088)], [[[191.0, 259.0], [218.0, 259.0], [218.0, 274.0], [191.0, 274.0]], ('008', 0.8643046021461487)], [[[29.0, 272.0], [126.0, 272.0], [126.0, 285.0], [29.0, 285.0]], ('50 Artichoke In 011', 0.8559065461158752)], [[[189.0, 281.0], [220.0, 284.0], [218.0, 298.0], [188.0, 295.0]], ('75.00', 0.9941190481185913)], [[[193.0, 272.0], [217.0, 272.0], [217.0, 284.0], [193.0, 284.0]], ('8.00', 0.9137491583824158)], [[[27.0, 282.0], [117.0, 283.0], [117.0, 297.0], [27.0, 296.0]], ('1 Pizza Pepperoni', 0.9371380805969238)], [[[26.0, 296.0], [102.0, 296.0], [102.0, 309.0], [26.0, 309.0]], ('20 Onion White', 0.8864851593971252)], [[[194.0, 296.0], [219.0, 296.0], [219.0, 308.0], [194.0, 308.0]], ('0.00', 0.9964169263839722)], [[[26.0, 309.0], [146.0, 309.0], [146.0, 323.0], [26.0, 323.0]], ('80 Mushroom Button Whit', 0.9485529065132141)], [[[194.0, 308.0], [220.0, 308.0], [220.0, 323.0], [194.0, 323.0]], ('8.00', 0.9951826333999634)], [[[25.0, 321.0], [143.0, 324.0], [142.0, 338.0], [25.0, 335.0]], ('1 Pomodoro Fresco Spag', 0.9087226986885071)], [[[191.0, 321.0], [220.0, 321.0], [220.0, 336.0], [191.0, 336.0]], ('65.00', 0.9810551404953003)], [[[26.0, 361.0], [54.0, 361.0], [54.0, 376.0], [26.0, 376.0]], ('Total', 0.97198885679245)], [[[186.0, 361.0], [220.0, 361.0], [220.0, 375.0], [186.0, 375.0]], ('299.00', 0.9946070313453674)], [[[78.0, 372.0], [183.0, 373.0], [183.0, 388.0], [77.0, 387.0]], ('Thank You for Visit!', 0.9353328943252563)], [[[52.0, 387.0], [209.0, 387.0], [209.0, 400.0], [52.0, 400.0]], ('Present this receipt and enjoy', 0.9455488920211792)], [[[57.0, 398.0], [196.0, 399.0], [196.0, 413.0], [57.0, 412.0]], ('15% discount upon delivery', 0.9448100328445435)], [[[61.0, 412.0], [198.0, 411.0], [198.0, 425.0], [61.0, 426.0]], ('Contact No:+971 4 3854811', 0.9396191239356995)]]	{"store_name": "BrandiPizzeriaCW", "store_addr": "Dubal-UAE 31300", "telephone": "04-3854811 +97143854811", "date": "12/13/14", "time": "4:43", "subtotal": "", "tax": "", "total": "299.00", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "MushroomButtonWhit", "item_value": "65.00", "item_quantity": "1"}, {"item_key": "", "item_name": "OnionWhite", "item_value": "8.00", "item_quantity": "1"}, {"item_key": "", "item_name": "PizzaPepperoni", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "ArticnokeInOil", "item_value": "75.00", "item_quantity": "1"}, {"item_key": "", "item_name": "MushroomButtonWhit", "item_value": "8.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BlackOlivesGaeta", "item_value": "8.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "65.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "5.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "65.00", "item_quantity": "1"}, {"item_key": "Descriptian", "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	[[[[19.0, 32.0], [53.0, 38.0], [50.0, 49.0], [17.0, 43.0]], ('RAY K', 0.8674805760383606)], [[[15.0, 51.0], [94.0, 62.0], [92.0, 79.0], [13.0, 68.0]], ('2 FRENCH ONION', 0.9415330290794373)], [[[202.0, 52.0], [229.0, 49.0], [231.0, 64.0], [203.0, 67.0]], ('7.50', 0.9921821355819702)], [[[15.0, 64.0], [83.0, 75.0], [80.0, 89.0], [13.0, 78.0]], ('1 ON THE FLY', 0.8919524550437927)], [[[14.0, 74.0], [77.0, 86.0], [75.0, 100.0], [12.0, 89.0]], ('1MISC.DEL', 0.9814971089363098)], [[[202.0, 66.0], [230.0, 62.0], [232.0, 77.0], [204.0, 81.0]], ('0.00', 0.9972509145736694)], [[[203.0, 90.0], [231.0, 88.0], [233.0, 103.0], [204.0, 106.0]], ('9.60', 0.9620671272277832)], [[[10.0, 100.0], [85.0, 109.0], [83.0, 124.0], [8.0, 115.0]], ('1MISC.FILET', 0.9586389660835266)], [[[24.0, 114.0], [116.0, 122.0], [114.0, 139.0], [23.0, 130.0]], ('$ amount 8.00', 0.9228912591934204)], [[[24.0, 127.0], [83.0, 134.0], [81.0, 148.0], [22.0, 141.0]], ('dont b-f1y', 0.914178729057312)], [[[109.0, 124.0], [151.0, 124.0], [151.0, 138.0], [109.0, 138.0]], ('1.55', 0.9170488119125366)], [[[5.0, 139.0], [82.0, 147.0], [81.0, 161.0], [3.0, 153.0]], ('1 PASTA SALAD', 0.920648455619812)], [[[201.0, 130.0], [235.0, 128.0], [236.0, 143.0], [202.0, 146.0]], ('12.40', 0.9949043989181519)], [[[1.0, 153.0], [87.0, 161.0], [86.0, 175.0], [0.0, 168.0]], ('1 GARLIC BREAD', 0.9302347302436829)], [[[206.0, 145.0], [235.0, 145.0], [235.0, 160.0], [206.0, 160.0]], ('1.75', 0.990113377571106)], [[[207.0, 159.0], [236.0, 159.0], [236.0, 175.0], [207.0, 175.0]], ('0.60', 0.981097936630249)], [[[128.0, 189.0], [190.0, 189.0], [190.0, 206.0], [128.0, 206.0]], ('Sub Total', 0.9372733235359192)], [[[203.0, 189.0], [238.0, 189.0], [238.0, 204.0], [203.0, 204.0]], ('31.85', 0.9955633282661438)], [[[154.0, 206.0], [189.0, 206.0], [189.0, 221.0], [154.0, 221.0]], ('Tax', 0.9618194699287415)], [[[208.0, 205.0], [240.0, 205.0], [240.0, 222.0], [208.0, 222.0]], ('1.91', 0.9841842651367188)], [[[128.0, 217.0], [193.0, 221.0], [192.0, 238.0], [127.0, 234.0]], ('Sub Total', 0.927438497543335)], [[[0.0, 229.0], [140.0, 233.0], [139.0, 248.0], [0.0, 245.0]], ('1/2415:58TOTAL', 0.9444583058357239)], [[[204.0, 221.0], [241.0, 221.0], [241.0, 238.0], [204.0, 238.0]], ('33.76', 0.994305431842804)], [[[176.0, 236.0], [212.0, 240.0], [211.0, 249.0], [175.0, 247.0]], ('33.', 0.9720396399497986)], [[[208.0, 239.0], [239.0, 239.0], [239.0, 249.0], [208.0, 249.0]], ('76', 0.9117618799209595)]]	{"store_name": "", "store_addr": "14725GRATIOTDETROITMI", "telephone": "", "date": "01/24/15 1/24", "time": "15:58", "subtotal": "31.85", "tax": "1.91", "total": "33.76 33.76", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "FRENCHONION", "item_value": "7.50", "item_quantity": "1"}, {"item_key": "", "item_name": "ONTHEFLY", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "MISC.DEL.", "item_value": "9.60", "item_quantity": "1"}, {"item_key": "", "item_name": "MISC.FILET.", "item_value": "12.40", "item_quantity": "1"}, {"item_key": "", "item_name": "dontb-fly", "item_value": "1.75", "item_quantity": "1"}, {"item_key": "", "item_name": "PASTASALAD", "item_value": "0.60", "item_quantity": "1"}, {"item_key": "", "item_name": "GARLICBREAD", "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	[[[[42.0, 44.0], [240.0, 39.0], [240.0, 55.0], [42.0, 60.0]], ('Restaurant Breda', 0.980648934841156)], [[[113.0, 59.0], [180.0, 59.0], [180.0, 76.0], [113.0, 76.0]], ('Singel210', 0.92597496509552)], [[[92.0, 77.0], [197.0, 77.0], [197.0, 91.0], [92.0, 91.0]], ('1016 AB Amsterdam', 0.919535219669342)], [[[97.0, 95.0], [192.0, 92.0], [193.0, 109.0], [98.0, 112.0]], ('Tel.020 6225233', 0.9159217476844788)], [[[57.0, 112.0], [228.0, 109.0], [229.0, 126.0], [58.0, 129.0]], ('Totaalrekening', 0.9761391282081604)], [[[23.0, 147.0], [117.0, 144.0], [117.0, 162.0], [24.0, 164.0]], ('Tafel21', 0.9562241435050964)], [[[233.0, 192.0], [276.0, 190.0], [277.0, 208.0], [234.0, 210.0]], ('11.00', 0.8017266392707825)], [[[23.0, 214.0], [115.0, 212.0], [115.0, 226.0], [24.0, 228.0]], ('1 x Ginger Beer', 0.9158229827880859)], [[[242.0, 210.0], [276.0, 210.0], [276.0, 225.0], [242.0, 225.0]], ('3,75', 0.8925987482070923)], [[[24.0, 229.0], [179.0, 226.0], [179.0, 240.0], [25.0, 243.0]], ('1 x Hendrick s Gin & Tonic', 0.9224296808242798)], [[[237.0, 226.0], [276.0, 226.0], [276.0, 240.0], [237.0, 240.0]], ('10.50', 0.8839693069458008)], [[[35.0, 245.0], [123.0, 243.0], [123.0, 257.0], [35.0, 259.0]], ('Hendrick s Gin', 0.944869875907898)], [[[37.0, 261.0], [74.0, 261.0], [74.0, 275.0], [37.0, 275.0]], ('Tonic', 0.9928849339485168)], [[[238.0, 275.0], [278.0, 275.0], [278.0, 289.0], [238.0, 289.0]], ('88.50', 0.9145833253860474)], [[[28.0, 308.0], [95.0, 308.0], [95.0, 322.0], [28.0, 322.0]], ('Totaal', 0.9826107025146484)], [[[192.0, 308.0], [276.0, 308.0], [276.0, 322.0], [192.0, 322.0]], ('11375', 0.9885775446891785)], [[[27.0, 326.0], [78.0, 326.0], [78.0, 341.0], [27.0, 341.0]], ('Btw laag', 0.8967667818069458)], [[[208.0, 324.0], [242.0, 324.0], [242.0, 340.0], [208.0, 340.0]], ('6,00', 0.8479373455047607)], [[[28.0, 343.0], [78.0, 343.0], [78.0, 357.0], [28.0, 357.0]], ('Btw hoog', 0.9519389271736145)], [[[208.0, 341.0], [242.0, 341.0], [242.0, 355.0], [208.0, 355.0]], ('1,35', 0.8630039691925049)], [[[30.0, 358.0], [157.0, 358.0], [157.0, 372.0], [30.0, 372.0]], ('14:23 17.02.17 Manager', 0.9428888559341431)], [[[245.0, 357.0], [278.0, 357.0], [278.0, 371.0], [245.0, 371.0]], ('12883', 0.9935463070869446)], [[[29.0, 374.0], [74.0, 374.0], [74.0, 388.0], [29.0, 388.0]], ('Kassa-1', 0.9159254431724548)], [[[60.0, 402.0], [241.0, 404.0], [241.0, 418.0], [59.0, 416.0]], ('Bedankt voor u bezoek en graag', 0.9039090275764465)], [[[87.0, 419.0], [215.0, 420.0], [215.0, 434.0], [87.0, 433.0]], ('tot een vo lgende keer', 0.9206600785255432)]]	{"store_name": "RestaurantBreda", "store_addr": "Singel210 1016ABAmsterdam", "telephone": "0206225233", "date": "17.02.17", "time": "14:23", "subtotal": "", "tax": "\u20ac1,35 \u20ac6.00", "total": "\u20ac113,75", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "CocaCola", "item_value": "\u20ac11,00", "item_quantity": "1"}, {"item_key": "", "item_name": "GingerBeer", "item_value": "\u20ac3,75", "item_quantity": "1"}, {"item_key": "", "item_name": "HendricksGin&Tonic", "item_value": "\u20ac10,50", "item_quantity": "1"}, {"item_key": "", "item_name": "HendricksGin", "item_value": "\u20ac88,50", "item_quantity": "1"}, {"item_key": "", "item_name": "Tonic", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "3gangen", "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	[[[[125.0, 118.0], [300.0, 124.0], [300.0, 142.0], [125.0, 136.0]], ('Thank You For Choosing', 0.9627982974052429)], [[[164.0, 139.0], [254.0, 141.0], [254.0, 158.0], [164.0, 156.0]], ('Chick-fi1-A', 0.9489402174949646)], [[[157.0, 157.0], [269.0, 160.0], [269.0, 177.0], [157.0, 174.0]], ('386478-1490', 0.9915947318077087)], [[[140.0, 176.0], [300.0, 179.0], [300.0, 196.0], [140.0, 193.0]], ('7/10/2009 1:33:28PM', 0.9373466372489929)], [[[185.0, 194.0], [239.0, 196.0], [238.0, 215.0], [184.0, 213.0]], ('EAT IN', 0.9156351685523987)], [[[48.0, 211.0], [167.0, 215.0], [167.0, 232.0], [48.0, 228.0]], ('Order Number', 0.9661515355110168)], [[[180.0, 216.0], [275.0, 216.0], [275.0, 233.0], [180.0, 233.0]], ('735785', 0.998748242855072)], [[[50.0, 252.0], [63.0, 252.0], [63.0, 265.0], [50.0, 265.0]], ('1', 0.8792097568511963)], [[[66.0, 247.0], [125.0, 250.0], [124.0, 271.0], [65.0, 268.0]], ('Lg Fry', 0.9626619815826416)], [[[337.0, 253.0], [374.0, 255.0], [373.0, 274.0], [336.0, 272.0]], ('1.75', 0.9955213069915771)], [[[69.0, 269.0], [187.0, 272.0], [187.0, 290.0], [69.0, 287.0]], ('Kids 4 Nugg ML', 0.944815456867218)], [[[337.0, 273.0], [374.0, 273.0], [374.0, 292.0], [337.0, 292.0]], ('2.16', 0.9928827881813049)], [[[70.0, 290.0], [150.0, 290.0], [150.0, 307.0], [70.0, 307.0]], ('Lemade KD', 0.959405243396759)], [[[338.0, 290.0], [374.0, 292.0], [373.0, 311.0], [337.0, 309.0]], ('0.69', 0.9948054552078247)], [[[70.0, 310.0], [158.0, 310.0], [158.0, 327.0], [70.0, 327.0]], ('Swt Tea LG', 0.9367936849594116)], [[[338.0, 311.0], [375.0, 311.0], [375.0, 330.0], [338.0, 330.0]], ('1.65', 0.9943234920501709)], [[[71.0, 348.0], [164.0, 348.0], [164.0, 366.0], [71.0, 366.0]], ('Sub.Total:', 0.9386326670646667)], [[[339.0, 349.0], [376.0, 349.0], [376.0, 368.0], [339.0, 368.0]], ('6.25', 0.996300458908081)], [[[69.0, 365.0], [110.0, 369.0], [108.0, 389.0], [67.0, 385.0]], ('Tax:', 0.9486742615699768)], [[[340.0, 369.0], [376.0, 369.0], [376.0, 388.0], [340.0, 388.0]], ('0.41', 0.9852443933486938)], [[[69.0, 388.0], [121.0, 388.0], [121.0, 406.0], [69.0, 406.0]], ('Total:', 0.9688170552253723)], [[[341.0, 389.0], [377.0, 389.0], [377.0, 407.0], [341.0, 407.0]], ('6.66', 0.9920575618743896)], [[[67.0, 409.0], [195.0, 409.0], [195.0, 426.0], [67.0, 426.0]], ('Discount Total:', 0.956692099571228)], [[[341.0, 408.0], [378.0, 408.0], [378.0, 428.0], [341.0, 428.0]], ('0.00', 0.9949837923049927)], [[[66.0, 446.0], [121.0, 449.0], [120.0, 471.0], [65.0, 468.0]], ('Change', 0.9973862767219543)], [[[336.0, 448.0], [380.0, 448.0], [380.0, 467.0], [336.0, 467.0]], ('-3.34', 0.9814750552177429)], [[[65.0, 470.0], [104.0, 470.0], [104.0, 489.0], [65.0, 489.0]], ('Cash', 0.9972009658813477)], [[[329.0, 469.0], [380.0, 469.0], [380.0, 487.0], [329.0, 487.0]], ('-10.00', 0.9735419154167175)], [[[37.0, 491.0], [129.0, 489.0], [129.0, 509.0], [37.0, 511.0]], ('Register:6', 0.9803680181503296)], [[[212.0, 489.0], [329.0, 489.0], [329.0, 509.0], [212.0, 509.0]], ('Tran Seq No', 0.9594801068305969)], [[[326.0, 490.0], [380.0, 490.0], [380.0, 508.0], [326.0, 508.0]], ('735785', 0.9991390109062195)], [[[37.0, 513.0], [160.0, 511.0], [160.0, 529.0], [37.0, 531.0]], ('Store No:70008', 0.9486003518104553)], [[[336.0, 510.0], [382.0, 510.0], [382.0, 529.0], [336.0, 529.0]], ('SARAH', 0.9968829154968262)], [[[133.0, 532.0], [289.0, 532.0], [289.0, 552.0], [133.0, 552.0]], ('Please Visit Again', 0.9420874118804932)]]	{"store_name": "Chick-fil-A", "store_addr": "", "telephone": "(386)478-1490", "date": "7/10/2009", "time": "1:33:28PM", "subtotal": "6.25", "tax": "0.41", "total": "6.66", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "LgFry", "item_value": "1.75", "item_quantity": "1"}, {"item_key": "", "item_name": "Kids4NuggML", "item_value": "2.16", "item_quantity": "1"}, {"item_key": "", "item_name": "LemadeKD", "item_value": "0.69", "item_quantity": "1"}, {"item_key": "", "item_name": "SwtTeaLG", "item_value": "1.65", "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	[[[[480.0, 254.0], [551.0, 261.0], [547.0, 298.0], [476.0, 291.0]], ('NIKE', 0.9915384650230408)], [[[393.0, 291.0], [619.0, 311.0], [616.0, 339.0], [391.0, 319.0]], ('NIKELAB 21M NYC', 0.9460524916648865)], [[[390.0, 331.0], [628.0, 351.0], [625.0, 380.0], [388.0, 361.0]], ('21 Mercer Street', 0.9546125531196594)], [[[372.0, 364.0], [643.0, 391.0], [640.0, 419.0], [369.0, 392.0]], ('New Y0rk,NY 10013', 0.8839898705482483)], [[[315.0, 391.0], [687.0, 422.0], [685.0, 445.0], [313.0, 414.0]], ('Telephone212226-5433', 0.9430130124092102)], [[[159.0, 536.0], [573.0, 555.0], [571.0, 583.0], [158.0, 564.0]], ('NIKE AIR PRESTO ESSENTIAL', 0.9536822438240051)], [[[713.0, 561.0], [842.0, 567.0], [840.0, 595.0], [711.0, 589.0]], ('$94.97T', 0.9375991821289062)], [[[173.0, 571.0], [397.0, 580.0], [396.0, 608.0], [172.0, 599.0]], ('0884751448485', 0.9976685047149658)], [[[145.0, 643.0], [286.0, 647.0], [286.0, 680.0], [144.0, 676.0]], ('Subtotal', 0.996590256690979)], [[[759.0, 653.0], [864.0, 657.0], [863.0, 687.0], [758.0, 683.0]], ('$94.97', 0.9877029061317444)], [[[143.0, 686.0], [203.0, 690.0], [201.0, 724.0], [141.0, 719.0]], ('Tax', 0.9961313605308533)], [[[777.0, 691.0], [865.0, 691.0], [865.0, 726.0], [777.0, 726.0]], ('$0.00', 0.9960864782333374)], [[[141.0, 731.0], [235.0, 731.0], [235.0, 766.0], [141.0, 766.0]], ('Total', 0.9972285032272339)], [[[760.0, 735.0], [865.0, 735.0], [865.0, 770.0], [760.0, 770.0]], ('$94.97', 0.9944326877593994)], [[[283.0, 819.0], [714.0, 819.0], [714.0, 853.0], [283.0, 853.0]], ('Number of Items) Sold:1', 0.8813807368278503)], [[[247.0, 868.0], [749.0, 868.0], [749.0, 896.0], [247.0, 896.0]], ('Number of Items) Returned:0', 0.9156901836395264)], [[[131.0, 960.0], [315.0, 956.0], [315.0, 991.0], [132.0, 995.0]], ('VISA DEBIT', 0.9538313150405884)], [[[766.0, 953.0], [876.0, 949.0], [878.0, 986.0], [767.0, 990.0]], ('$94.97', 0.992364227771759)], [[[163.0, 1008.0], [669.0, 999.0], [670.0, 1033.0], [164.0, 1041.0]], ('Card No.XXXXXXXXXXxx9573<D>', 0.7792357802391052)], [[[162.0, 1056.0], [318.0, 1052.0], [319.0, 1087.0], [162.0, 1091.0]], ('Auth.No', 0.9591835737228394)], [[[777.0, 1048.0], [884.0, 1048.0], [884.0, 1078.0], [777.0, 1078.0]], ('043118', 0.9987399578094482)], [[[167.0, 1096.0], [351.0, 1096.0], [351.0, 1124.0], [167.0, 1124.0]], ('Auth.Date', 0.9387978315353394)], [[[635.0, 1094.0], [882.0, 1091.0], [882.0, 1119.0], [636.0, 1123.0]], ('9/6/201718:31', 0.9725856184959412)], [[[174.0, 1129.0], [266.0, 1129.0], [266.0, 1158.0], [174.0, 1158.0]], ('TxRef', 0.9708029627799988)], [[[547.0, 1129.0], [882.0, 1128.0], [882.0, 1156.0], [547.0, 1158.0]], ('oLk0001504737059068', 0.9927356839179993)], [[[178.0, 1161.0], [288.0, 1165.0], [287.0, 1195.0], [177.0, 1191.0]], ('TYrpPe', 0.5985039472579956)], [[[635.0, 1168.0], [875.0, 1168.0], [875.0, 1191.0], [635.0, 1191.0]], ('GOODS_SERVICES', 0.953158438205719)], [[[182.0, 1196.0], [244.0, 1196.0], [244.0, 1226.0], [182.0, 1226.0]], ('Mid', 0.9953749775886536)], [[[802.0, 1199.0], [875.0, 1199.0], [875.0, 1229.0], [802.0, 1229.0]], ('1706', 0.9987006187438965)], [[[189.0, 1228.0], [249.0, 1228.0], [249.0, 1258.0], [189.0, 1258.0]], ('Tid', 0.9954972267150879)], [[[615.0, 1238.0], [867.0, 1238.0], [867.0, 1261.0], [615.0, 1261.0]], ('MX925-260192911', 0.9928894639015198)], [[[195.0, 1256.0], [332.0, 1259.0], [332.0, 1289.0], [194.0, 1286.0]], ('PrefName', 0.995165228843689)], [[[695.0, 1266.0], [867.0, 1269.0], [866.0, 1298.0], [695.0, 1294.0]], ('VISA DEBIT', 0.9601668119430542)], [[[201.0, 1291.0], [257.0, 1291.0], [257.0, 1319.0], [201.0, 1319.0]], ('Aid', 0.994245707988739)], [[[629.0, 1299.0], [864.0, 1304.0], [863.0, 1333.0], [628.0, 1327.0]], ('A0000000031010', 0.9949991106987)], [[[204.0, 1321.0], [247.0, 1321.0], [247.0, 1347.0], [204.0, 1347.0]], ('TC', 0.9888817071914673)], [[[595.0, 1331.0], [860.0, 1339.0], [859.0, 1368.0], [594.0, 1359.0]], ('9D44B13DCDD8ED43', 0.8866804838180542)], [[[186.0, 1518.0], [371.0, 1535.0], [367.0, 1570.0], [183.0, 1553.0]], ('Store00028', 0.9570644497871399)], [[[184.0, 1560.0], [382.0, 1577.0], [380.0, 1598.0], [181.0, 1593.0]], ('F0C/9/600', 0.5102341771125793)], [[[681.0, 1553.0], [851.0, 1565.0], [848.0, 1598.0], [679.0, 1590.0]], ('Op358647', 0.9336735010147095)]]	{"store_name": "NIKE NIKELAB21MNYC", "store_addr": "21MercerStreet NewYork,NY10013", "telephone": "(212)226-5433", "date": "9/6/2017", "time": "18:31", "subtotal": "$94.97", "tax": "$0.00", "total": "$94.97 $94.97", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "NIKEAIRPRESTOESSENTIAL", "item_value": "$94.97", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[146.0, 6.0], [232.0, 8.0], [232.0, 23.0], [146.0, 21.0]], ('SALES ITEMS', 0.9473461508750916)], [[[72.0, 17.0], [201.0, 24.0], [201.0, 39.0], [72.0, 32.0]], ('S000828749 MB Shorts', 0.9484744071960449)], [[[293.0, 23.0], [327.0, 23.0], [327.0, 38.0], [293.0, 38.0]], ('12.00', 0.9894825220108032)], [[[72.0, 33.0], [201.0, 38.0], [201.0, 52.0], [72.0, 48.0]], ('S000824244 MB Shorts', 0.9528079032897949)], [[[297.0, 37.0], [327.0, 37.0], [327.0, 53.0], [297.0, 53.0]], ('8.00', 0.9975376725196838)], [[[71.0, 49.0], [200.0, 53.0], [200.0, 68.0], [71.0, 63.0]], ('S000846512 MB Shorts', 0.9560647010803223)], [[[294.0, 52.0], [328.0, 52.0], [328.0, 68.0], [294.0, 68.0]], ('14.00', 0.9964812397956848)], [[[71.0, 63.0], [205.0, 68.0], [205.0, 82.0], [71.0, 78.0]], ('S000835041 MT T-Shirt', 0.9425702691078186)], [[[297.0, 66.0], [328.0, 66.0], [328.0, 82.0], [297.0, 82.0]], ('6.00', 0.9967854022979736)], [[[69.0, 79.0], [204.0, 83.0], [204.0, 98.0], [69.0, 93.0]], ('S000835041 MT T-Shirt', 0.9489125609397888)], [[[298.0, 81.0], [328.0, 81.0], [328.0, 97.0], [298.0, 97.0]], ('6.00', 0.9950026869773865)], [[[69.0, 93.0], [203.0, 98.0], [203.0, 112.0], [69.0, 108.0]], ('S000831624 MT T-Shirt', 0.9524491429328918)], [[[298.0, 96.0], [328.0, 96.0], [328.0, 111.0], [298.0, 111.0]], ('5.00', 0.9970191121101379)], [[[67.0, 108.0], [204.0, 111.0], [204.0, 129.0], [67.0, 126.0]], ('S000836316 MT T-Shirt', 0.9551530480384827)], [[[298.0, 109.0], [330.0, 112.0], [328.0, 127.0], [296.0, 124.0]], ('6.00', 0.9938738346099854)], [[[67.0, 123.0], [203.0, 125.0], [203.0, 142.0], [67.0, 140.0]], ('S000838444 MT T-Shirt', 0.954680323600769)], [[[298.0, 124.0], [330.0, 127.0], [328.0, 144.0], [296.0, 141.0]], ('6.00', 0.9969325661659241)], [[[66.0, 138.0], [202.0, 140.0], [202.0, 158.0], [66.0, 156.0]], ('S000838810 MT T-Shirt', 0.9343128204345703)], [[[298.0, 142.0], [329.0, 142.0], [329.0, 158.0], [298.0, 158.0]], ('7.00', 0.9951221346855164)], [[[66.0, 154.0], [203.0, 156.0], [203.0, 174.0], [66.0, 171.0]], ('S000820324 MT 1-Shirt', 0.9387089610099792)], [[[298.0, 158.0], [329.0, 158.0], [329.0, 175.0], [298.0, 175.0]], ('7.00', 0.9961339831352234)], [[[64.0, 169.0], [202.0, 172.0], [202.0, 189.0], [63.0, 187.0]], ('S000847424 MT T-Shirt', 0.9532355070114136)], [[[297.0, 172.0], [329.0, 175.0], [327.0, 192.0], [295.0, 189.0]], ('7.00', 0.9965178966522217)], [[[63.0, 185.0], [202.0, 188.0], [202.0, 206.0], [62.0, 202.0]], ('S000841973 MT T-Shirt', 0.9385268688201904)], [[[296.0, 189.0], [328.0, 192.0], [326.0, 208.0], [294.0, 205.0]], ('7.00', 0.9917377829551697)], [[[63.0, 200.0], [221.0, 206.0], [220.0, 224.0], [62.0, 218.0]], ('S000843074 Athletic Shoe', 0.9485719799995422)], [[[290.0, 204.0], [327.0, 207.0], [326.0, 224.0], [289.0, 221.0]], ('55.00', 0.9970254898071289)], [[[59.0, 233.0], [118.0, 235.0], [117.0, 254.0], [58.0, 251.0]], ('Subtotal', 0.984440803527832)], [[[285.0, 237.0], [329.0, 239.0], [327.0, 258.0], [284.0, 255.0]], ('146.00', 0.9884361624717712)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "", "time": "", "subtotal": "146.00", "tax": "", "total": "", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "MBShorts", "item_value": "12.00", "item_quantity": "1"}, {"item_key": "", "item_name": "MBShorts", "item_value": "8.00", "item_quantity": "1"}, {"item_key": "", "item_name": "MBShorts", "item_value": "14.00", "item_quantity": "1"}, {"item_key": "", "item_name": "MTT-Shirt", "item_value": "6.00", "item_quantity": "1"}, {"item_key": "", "item_name": "MTT-Shirt", "item_value": "6.00", "item_quantity": "1"}, {"item_key": "", "item_name": "MTT-Shirt", "item_value": "5.00", "item_quantity": "1"}, {"item_key": "", "item_name": "MTT-Shirt", "item_value": "6.00", "item_quantity": "1"}, {"item_key": "", "item_name": "MTT-Shirt", "item_value": "6.00", "item_quantity": "1"}, {"item_key": "", "item_name": "MTT-Shirt", "item_value": "7.00", "item_quantity": "1"}, {"item_key": "", "item_name": "MTT-Shirt", "item_value": "7.00", "item_quantity": "1"}, {"item_key": "", "item_name": "MTT-Shirt", "item_value": "7.00", "item_quantity": "1"}, {"item_key": "", "item_name": "MTT-Shirt", "item_value": "7.00", "item_quantity": "1"}, {"item_key": "", "item_name": "AthleticShoe", "item_value": "55.00", "item_quantity": "1"}, {"item_key": "SALESITEMS", "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	[[[[142.0, 2.0], [187.0, 2.0], [187.0, 16.0], [142.0, 16.0]], ('FACTURE', 0.9949450492858887)], [[[52.0, 17.0], [290.0, 12.0], [290.0, 28.0], [52.0, 33.0]], ("Restaurant McDonald's Versailles Manege", 0.9211357235908508)], [[[82.0, 33.0], [248.0, 29.0], [248.0, 42.0], [82.0, 46.0]], ('10. Av du Genera1 de Gaulle', 0.8919003009796143)], [[[118.0, 46.0], [218.0, 44.0], [218.0, 57.0], [118.0, 59.0]], ('78000 VERSAILLES', 0.972730278968811)], [[[107.0, 61.0], [229.0, 59.0], [230.0, 73.0], [107.0, 75.0]], ('Tel01.39.02.36.03', 0.9688994288444519)], [[[59.0, 76.0], [272.0, 73.0], [272.0, 87.0], [59.0, 90.0]], ('SIRET 420466 708 00013-APE 553 B', 0.911841869354248)], [[[96.0, 90.0], [235.0, 89.0], [235.0, 103.0], [96.0, 105.0]], ('TVA INTRA FR11420466708', 0.9626203775405884)], [[[50.0, 130.0], [128.0, 130.0], [128.0, 143.0], [50.0, 143.0]], ('Caissier 6', 0.908847987651825)], [[[50.0, 145.0], [140.0, 145.0], [140.0, 158.0], [50.0, 158.0]], ('Restaurant 188', 0.9716851115226746)], [[[52.0, 160.0], [280.0, 160.0], [280.0, 173.0], [52.0, 173.0]], ('#CDE324-CSE05-05/07/2014 13:27:30', 0.9462539553642273)], [[[53.0, 189.0], [135.0, 189.0], [135.0, 203.0], [53.0, 203.0]], ('QTEPRODUIT', 0.9793421030044556)], [[[216.0, 189.0], [284.0, 189.0], [284.0, 203.0], [216.0, 203.0]], ('UNITTOTAL', 0.976292073726654)], [[[59.0, 204.0], [147.0, 204.0], [147.0, 218.0], [59.0, 218.0]], ('1 Coke Best Of', 0.9272760152816772)], [[[216.0, 203.0], [244.0, 203.0], [244.0, 218.0], [216.0, 218.0]], ('0.00', 0.9917873740196228)], [[[256.0, 204.0], [286.0, 204.0], [286.0, 219.0], [256.0, 219.0]], ('0.00', 0.9942097663879395)], [[[60.0, 219.0], [147.0, 219.0], [147.0, 233.0], [60.0, 233.0]], ('2 Double Latte', 0.9383259415626526)], [[[216.0, 218.0], [244.0, 218.0], [244.0, 233.0], [216.0, 233.0]], ('1.70', 0.9939091205596924)], [[[256.0, 218.0], [286.0, 218.0], [286.0, 233.0], [256.0, 233.0]], ('3.40', 0.9938898682594299)], [[[60.0, 234.0], [109.0, 234.0], [109.0, 248.0], [60.0, 248.0]], ('1 Bacon', 0.9198128581047058)], [[[216.0, 233.0], [245.0, 233.0], [245.0, 248.0], [216.0, 248.0]], ('4.10', 0.9912558794021606)], [[[256.0, 233.0], [286.0, 233.0], [286.0, 248.0], [256.0, 248.0]], ('4.10', 0.9894220232963562)], [[[62.0, 250.0], [130.0, 250.0], [130.0, 261.0], [62.0, 261.0]], ('1 McChicken', 0.9500184655189514)], [[[216.0, 247.0], [244.0, 247.0], [244.0, 262.0], [216.0, 262.0]], ('2.50', 0.9918432235717773)], [[[256.0, 248.0], [285.0, 248.0], [285.0, 263.0], [256.0, 263.0]], ('2.50', 0.9952436685562134)], [[[62.0, 263.0], [165.0, 263.0], [165.0, 277.0], [62.0, 277.0]], ('1 B0 Nuggets 6 Mx', 0.90579754114151)], [[[215.0, 263.0], [244.0, 263.0], [244.0, 277.0], [215.0, 277.0]], ('6.30', 0.9916338324546814)], [[[257.0, 263.0], [285.0, 263.0], [285.0, 278.0], [257.0, 278.0]], ('6.30', 0.9934924244880676)], [[[62.0, 278.0], [153.0, 278.0], [153.0, 291.0], [62.0, 291.0]], ('1 Frite Best Of', 0.9314813017845154)], [[[215.0, 277.0], [244.0, 277.0], [244.0, 291.0], [215.0, 291.0]], ('0.00', 0.9959607720375061)], [[[256.0, 278.0], [285.0, 278.0], [285.0, 292.0], [256.0, 292.0]], ('0.00', 0.9966720342636108)], [[[58.0, 306.0], [210.0, 306.0], [210.0, 319.0], [58.0, 319.0]], ('Total Sur Place TVA INCL', 0.8884801864624023)], [[[251.0, 304.0], [286.0, 307.0], [284.0, 323.0], [250.0, 320.0]], ('16.30', 0.9948159456253052)], [[[57.0, 320.0], [78.0, 320.0], [78.0, 336.0], [57.0, 336.0]], ('ECB', 0.993200957775116)], [[[251.0, 320.0], [286.0, 323.0], [284.0, 338.0], [250.0, 335.0]], ('16.30', 0.9931009411811829)], [[[59.0, 350.0], [73.0, 350.0], [73.0, 362.0], [59.0, 362.0]], ('02', 0.9934593439102173)], [[[86.0, 348.0], [243.0, 348.0], [243.0, 362.0], [86.0, 362.0]], ('16.30TVA A 10.00%INCL=', 0.9391067624092102)], [[[238.0, 349.0], [284.0, 352.0], [284.0, 367.0], [237.0, 364.0]], ('1.48', 0.9865995049476624)], [[[105.0, 376.0], [231.0, 378.0], [230.0, 392.0], [105.0, 390.0]], ('Merci de votre visite', 0.9543933868408203)], [[[143.0, 390.0], [201.0, 392.0], [200.0, 406.0], [143.0, 404.0]], ('A bientot', 0.9355542063713074)], [[[82.0, 405.0], [254.0, 407.0], [253.0, 421.0], [82.0, 419.0]], ('Biere soumise a TVA de 20.00%', 0.9436932802200317)], [[[94.0, 432.0], [217.0, 434.0], [217.0, 448.0], [94.0, 446.0]], ('Code Porte Toi lettes:', 0.9278542995452881)]]	{"store_name": "RestaurantMcDonald'sVersaillesManege", "store_addr": "10.AyduGeneraldeGaulle 78000VERSAILLES", "telephone": "01.39.02.36.03", "date": "05/07/2014", "time": "13:27:30", "subtotal": "", "tax": "1.48", "total": "16.30", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "CokeBestOf", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "DoubleLatte", "item_value": "3.40", "item_quantity": "1"}, {"item_key": "", "item_name": "Bacon", "item_value": "4.10", "item_quantity": "1"}, {"item_key": "", "item_name": "McChicken", "item_value": "2.50", "item_quantity": "1"}, {"item_key": "", "item_name": "BONuggets6Mx", "item_value": "6.30", "item_quantity": "1"}, {"item_key": "", "item_name": "FriteBestOf", "item_value": "0.00", "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	[[[[137.0, 124.0], [233.0, 121.0], [234.0, 149.0], [138.0, 151.0]], ('adidas', 0.9975950121879578)], [[[145.0, 161.0], [229.0, 161.0], [229.0, 175.0], [145.0, 175.0]], ('Originals Paris', 0.8916427493095398)], [[[129.0, 174.0], [245.0, 173.0], [245.0, 188.0], [129.0, 189.0]], ('3 ter rue des Ros iers', 0.8843675255775452)], [[[159.0, 189.0], [217.0, 189.0], [217.0, 200.0], [159.0, 200.0]], ('75004 Par1s', 0.8977491855621338)], [[[132.0, 201.0], [249.0, 200.0], [249.0, 214.0], [132.0, 215.0]], ('Tel.+3315301 9360', 0.9186165928840637)], [[[90.0, 280.0], [173.0, 280.0], [173.0, 293.0], [90.0, 293.0]], ('Ticket de caisse', 0.97352135181427)], [[[205.0, 289.0], [283.0, 289.0], [283.0, 303.0], [205.0, 303.0]], ('Notre Prix de', 0.9494826197624207)], [[[90.0, 304.0], [130.0, 304.0], [130.0, 318.0], [90.0, 318.0]], ('Article', 0.959154486656189)], [[[205.0, 302.0], [245.0, 302.0], [245.0, 316.0], [205.0, 316.0]], ('Prix', 0.9627997875213623)], [[[245.0, 302.0], [280.0, 302.0], [280.0, 316.0], [245.0, 316.0]], ('vhte', 0.5686064958572388)], [[[88.0, 317.0], [141.0, 315.0], [141.0, 329.0], [88.0, 331.0]], ('S761477', 0.967931866645813)], [[[160.0, 315.0], [178.0, 315.0], [178.0, 328.0], [160.0, 328.0]], ('[1]', 0.9568579196929932)], [[[204.0, 313.0], [283.0, 314.0], [282.0, 328.0], [204.0, 327.0]], ('99.9599.95F', 0.972125232219696)], [[[91.0, 330.0], [150.0, 330.0], [150.0, 341.0], [91.0, 341.0]], ('SUPERSTAR W', 0.8891572952270508)], [[[192.0, 328.0], [253.0, 328.0], [253.0, 339.0], [192.0, 339.0]], ('CBLACK/CBLAC', 0.9825401306152344)], [[[94.0, 361.0], [147.0, 363.0], [146.0, 378.0], [93.0, 376.0]], ('Tota[1]', 0.8652052283287048)], [[[248.0, 363.0], [278.0, 363.0], [278.0, 377.0], [248.0, 377.0]], ('5666', 0.8943186402320862)], [[[96.0, 386.0], [117.0, 389.0], [115.0, 402.0], [94.0, 399.0]], ('Visa', 0.9670232534408569)], [[[250.0, 388.0], [278.0, 388.0], [278.0, 401.0], [250.0, 401.0]], ('5666', 0.9349671602249146)], [[[92.0, 413.0], [229.0, 413.0], [229.0, 426.0], [92.0, 426.0]], ('Montant Net:total hors TVA', 0.9243453741073608)], [[[248.0, 411.0], [278.0, 411.0], [278.0, 426.0], [248.0, 426.0]], ('83.29', 0.9437317848205566)], [[[92.0, 426.0], [126.0, 426.0], [126.0, 437.0], [92.0, 437.0]], ('=VF', 0.7085625529289246)], [[[166.0, 425.0], [194.0, 425.0], [194.0, 439.0], [166.0, 439.0]], ('(20%)', 0.8969348073005676)], [[[250.0, 425.0], [278.0, 425.0], [278.0, 438.0], [250.0, 438.0]], ('16.66', 0.9911094903945923)], [[[180.0, 447.0], [223.0, 447.0], [223.0, 461.0], [180.0, 461.0]], ('ORIGINAL', 0.9722346067428589)], [[[120.0, 474.0], [162.0, 474.0], [162.0, 484.0], [120.0, 484.0]], ('0013331', 0.9959596991539001)], [[[190.0, 473.0], [256.0, 473.0], [256.0, 483.0], [190.0, 483.0]], ('16101006122', 0.9922723174095154)], [[[92.0, 525.0], [168.0, 525.0], [168.0, 536.0], [92.0, 536.0]], ('Date11.12.2016', 0.9814208149909973)], [[[223.0, 523.0], [282.0, 523.0], [282.0, 537.0], [223.0, 537.0]], ('Heure 18:46', 0.9362373948097229)], [[[91.0, 536.0], [282.0, 536.0], [282.0, 550.0], [91.0, 550.0]], ('Caisse N Operateur Ticket N Hagasin', 0.9154050350189209)], [[[92.0, 550.0], [108.0, 550.0], [108.0, 562.0], [92.0, 562.0]], ('101', 0.9957991242408752)], [[[155.0, 550.0], [179.0, 550.0], [179.0, 562.0], [155.0, 562.0]], ('0119', 0.9975442290306091)], [[[205.0, 550.0], [280.0, 550.0], [280.0, 561.0], [205.0, 561.0]], ('0061220003331', 0.9965344667434692)], [[[120.0, 575.0], [263.0, 575.0], [263.0, 589.0], [120.0, 589.0]], ('Tous les produits achetes du', 0.9412615895271301)], [[[94.0, 589.0], [282.0, 587.0], [283.0, 601.0], [94.0, 603.0]], ('1r au 24 decembre 2016 pourront etre', 0.911422848701477)], [[[106.0, 617.0], [275.0, 614.0], [275.0, 627.0], [107.0, 629.0]], ('Sulvant les condittons generales', 0.934238851070404)], [[[116.0, 628.0], [261.0, 627.0], [261.0, 641.0], [116.0, 642.0]], ('SUR W.ADIDAS.COM/G0/11044', 0.9262212514877319)], [[[161.0, 644.0], [223.0, 644.0], [223.0, 655.0], [161.0, 655.0]], ('habituelles.', 0.9104799628257751)]]	{"store_name": "adidas", "store_addr": "3terruedesRosiers 75004Paris", "telephone": "+33153019360", "date": "11.12.2016", "time": "18:46", "subtotal": "83.29", "tax": "16.66", "total": "99.95", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "S761477", "item_value": "99.95", "item_quantity": "1"}, {"item_key": "", "item_name": "SUPERSTARW", "item_value": "", "item_quantity": ""}, {"item_key": "Article", "item_name": "", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[190.0, 28.0], [338.0, 26.0], [338.0, 47.0], [190.0, 49.0]], ('SABOTEN', 0.9965185523033142)], [[[115.0, 54.0], [412.0, 52.0], [412.0, 72.0], [115.0, 74.0]], ('JAPANESE TONKATSU RESTAURANT', 0.9706246256828308)], [[[80.0, 80.0], [455.0, 78.0], [455.0, 98.0], [80.0, 100.0]], ('Singapore Changi Airport Terminal1', 0.9672665596008301)], [[[102.0, 106.0], [424.0, 106.0], [424.0, 129.0], [102.0, 129.0]], ('#031-004Viewing Ma11 Centra1', 0.9393485188484192)], [[[133.0, 136.0], [392.0, 136.0], [392.0, 160.0], [133.0, 160.0]], ('Leve1 3 Singapore 819642', 0.9445475935935974)], [[[93.0, 165.0], [465.0, 166.0], [465.0, 187.0], [93.0, 186.0]], ('Te+6562149504 Fax+6562149501', 0.9757059812545776)], [[[102.0, 195.0], [446.0, 195.0], [446.0, 218.0], [102.0, 218.0]], ('Business Hours:8.00am-11.00pm', 0.9591332674026489)], [[[156.0, 226.0], [372.0, 226.0], [372.0, 247.0], [156.0, 247.0]], ('GST Reg.199601737W', 0.9571579694747925)], [[[146.0, 255.0], [379.0, 255.0], [379.0, 276.0], [146.0, 276.0]], ('TAX INVOICE', 0.9550378322601318)], [[[83.0, 284.0], [499.0, 284.0], [499.0, 307.0], [83.0, 307.0]], ('19/02/2013 12:16 Tm:T002 Shift201302191', 0.943308413028717)], [[[79.0, 313.0], [165.0, 313.0], [165.0, 338.0], [79.0, 338.0]], ('Table 7', 0.9270524978637695)], [[[260.0, 312.0], [492.0, 312.0], [492.0, 339.0], [260.0, 339.0]], ('Pax2 Bi11 A093224', 0.928081214427948)], [[[101.0, 372.0], [393.0, 372.0], [393.0, 395.0], [101.0, 395.0]], ('1 SET Hitokuchi Hire Tabeku', 0.9280136823654175)], [[[434.0, 370.0], [494.0, 370.0], [494.0, 396.0], [434.0, 396.0]], ('26.00', 0.9940881729125977)], [[[101.0, 402.0], [392.0, 402.0], [392.0, 425.0], [101.0, 425.0]], ('1 SET Radish Tender loin Kat', 0.9363765120506287)], [[[434.0, 401.0], [494.0, 401.0], [494.0, 427.0], [434.0, 427.0]], ('24.00', 0.9946550130844116)], [[[103.0, 432.0], [283.0, 432.0], [283.0, 456.0], [103.0, 456.0]], ('1 Curry Sauce A/L', 0.929821252822876)], [[[443.0, 430.0], [494.0, 430.0], [494.0, 457.0], [443.0, 457.0]], ('3.00', 0.9956510663032532)], [[[103.0, 459.0], [242.0, 461.0], [242.0, 485.0], [103.0, 483.0]], ('1 Apple Juice', 0.9032850861549377)], [[[443.0, 458.0], [493.0, 460.0], [492.0, 487.0], [442.0, 485.0]], ('3.50', 0.9888377785682678)], [[[103.0, 486.0], [202.0, 488.0], [202.0, 513.0], [103.0, 511.0]], ('1 7UP Can', 0.9106680750846863)], [[[442.0, 486.0], [492.0, 488.0], [491.0, 515.0], [441.0, 513.0]], ('3.00', 0.9950278997421265)], [[[122.0, 516.0], [190.0, 516.0], [190.0, 542.0], [122.0, 542.0]], ('SUBTTL', 0.9967381358146667)], [[[434.0, 516.0], [492.0, 516.0], [492.0, 542.0], [434.0, 542.0]], ('59.50', 0.9964582324028015)], [[[123.0, 546.0], [241.0, 546.0], [241.0, 571.0], [123.0, 571.0]], ('10%SVCCHG', 0.9927223920822144)], [[[444.0, 546.0], [495.0, 546.0], [495.0, 573.0], [444.0, 573.0]], ('5.95', 0.9964752793312073)], [[[118.0, 574.0], [188.0, 574.0], [188.0, 603.0], [118.0, 603.0]], ('7%GST', 0.9818133115768433)], [[[447.0, 574.0], [498.0, 576.0], [497.0, 606.0], [445.0, 604.0]], ('4.58', 0.9893035888671875)], [[[112.0, 637.0], [150.0, 637.0], [150.0, 668.0], [112.0, 668.0]], ('TTL', 0.9795251488685608)], [[[437.0, 639.0], [501.0, 639.0], [501.0, 669.0], [437.0, 669.0]], ('70.03', 0.9889508485794067)], [[[112.0, 672.0], [205.0, 672.0], [205.0, 700.0], [112.0, 700.0]], ('ROUNDING', 0.9982364177703857)], [[[450.0, 674.0], [501.0, 674.0], [501.0, 703.0], [450.0, 703.0]], ('0.02', 0.9932754039764404)], [[[113.0, 704.0], [223.0, 706.0], [223.0, 734.0], [112.0, 732.0]], ('TOTAL', 0.998461127281189)], [[[385.0, 705.0], [499.0, 707.0], [498.0, 735.0], [385.0, 733.0]], ('70.05', 0.9975537061691284)]]	{"store_name": "SABOTEN JAPANESETONKATSURESTAURANT", "store_addr": "SingaporeChangiAirportTerminal1 #031-004,ViewingMallCentral Level3Singapore819642", "telephone": "(+65)62149504", "date": "19/02/2013", "time": "12:16", "subtotal": "59.50", "tax": "4.58", "total": "70.05", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "SETHitokuchiHireTabeku", "item_value": "26.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SETRadishTenderloinKat", "item_value": "24.00", "item_quantity": "1"}, {"item_key": "", "item_name": "CurrySauceA/L", "item_value": "3.00", "item_quantity": "1"}, {"item_key": "", "item_name": "AppleJuice", "item_value": "3.50", "item_quantity": "1"}, {"item_key": "", "item_name": "7UPCan", "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	[[[[122.0, 14.0], [378.0, 9.0], [379.0, 29.0], [122.0, 34.0]], ('Pizza Hut Restaurant Sdn. Bhd', 0.9490162134170532)], [[[208.0, 35.0], [293.0, 34.0], [293.0, 52.0], [208.0, 53.0]], ('113925-U', 0.9391030073165894)], [[[100.0, 58.0], [415.0, 58.0], [415.0, 75.0], [100.0, 75.0]], ('L 7 Tower 1.USquare@PJ City Centre', 0.8980566263198853)], [[[115.0, 79.0], [396.0, 80.0], [396.0, 97.0], [114.0, 96.0]], ('Jn Utara46200 P.Jaya,Selangor', 0.915291428565979)], [[[192.0, 101.0], [312.0, 101.0], [312.0, 118.0], [192.0, 118.0]], ('Te1:0192370685', 0.9312896132469177)], [[[215.0, 120.0], [295.0, 122.0], [294.0, 143.0], [214.0, 141.0]], ('PIZZA HUT', 0.9637426733970642)], [[[175.0, 144.0], [327.0, 146.0], [327.0, 163.0], [175.0, 161.0]], ('PIZZA HUT TEMERLOH', 0.9635123014450073)], [[[183.0, 166.0], [326.0, 168.0], [326.0, 185.0], [182.0, 183.0]], ('Store ID:3010139', 0.937961220741272)], [[[167.0, 186.0], [327.0, 186.0], [327.0, 203.0], [167.0, 203.0]], ('GSTID:001750278144', 0.9644145965576172)], [[[80.0, 202.0], [177.0, 206.0], [176.0, 223.0], [79.0, 219.0]], ('1PIZZAHUT1', 0.9550855755805969)], [[[315.0, 205.0], [417.0, 203.0], [418.0, 221.0], [316.0, 223.0]], ('1 CASHIER 01', 0.914452075958252)], [[[80.0, 240.0], [194.0, 244.0], [193.0, 264.0], [79.0, 260.0]], ('Docket:656985', 0.9655342698097229)], [[[307.0, 243.0], [422.0, 240.0], [423.0, 260.0], [308.0, 263.0]], ('Cust.Count0', 0.9497347474098206)], [[[174.0, 264.0], [329.0, 263.0], [329.0, 283.0], [174.0, 284.0]], ('23 Nov 1621:34:10', 0.8558911085128784)], [[[106.0, 303.0], [145.0, 305.0], [143.0, 324.0], [105.0, 322.0]], ('fuad', 0.9962552785873413)], [[[105.0, 323.0], [254.0, 327.0], [253.0, 347.0], [104.0, 343.0]], ('CUSTOMER NAME T T', 0.9413654208183289)], [[[350.0, 321.0], [408.0, 321.0], [408.0, 342.0], [350.0, 342.0]], ('0.00Z', 0.9601184129714966)], [[[106.0, 343.0], [153.0, 345.0], [152.0, 367.0], [105.0, 365.0]], ('63825', 0.9980297088623047)], [[[104.0, 366.0], [229.0, 368.0], [229.0, 386.0], [104.0, 384.0]], ('GES REDEEM T T', 0.92001873254776)], [[[351.0, 364.0], [410.0, 362.0], [411.0, 380.0], [352.0, 382.0]], ('0.00Z', 0.9424406886100769)], [[[104.0, 387.0], [253.0, 388.0], [253.0, 405.0], [104.0, 404.0]], ('NEW GES GB+SOUP T', 0.8957520723342896)], [[[351.0, 382.0], [413.0, 380.0], [414.0, 401.0], [352.0, 403.0]], ('0.00S', 0.9322271347045898)], [[[113.0, 409.0], [195.0, 409.0], [195.0, 427.0], [113.0, 427.0]], ('MD GB T T', 0.8698605895042419)], [[[399.0, 404.0], [412.0, 404.0], [412.0, 422.0], [399.0, 422.0]], ('S', 0.9366426467895508)], [[[113.0, 429.0], [195.0, 429.0], [195.0, 446.0], [113.0, 446.0]], ('MD SOUP T', 0.9065728783607483)], [[[399.0, 424.0], [412.0, 424.0], [412.0, 442.0], [399.0, 442.0]], ('S', 0.9119343757629395)], [[[104.0, 449.0], [143.0, 449.0], [143.0, 468.0], [104.0, 468.0]], ('CASH', 0.9977061748504639)], [[[355.0, 446.0], [396.0, 446.0], [396.0, 464.0], [355.0, 464.0]], ('0.00', 0.9969919323921204)], [[[104.0, 492.0], [193.0, 492.0], [193.0, 510.0], [104.0, 510.0]], ('Sub Total', 0.9418445229530334)], [[[356.0, 488.0], [397.0, 488.0], [397.0, 507.0], [356.0, 507.0]], ('0.00', 0.9977806806564331)], [[[105.0, 514.0], [160.0, 514.0], [160.0, 531.0], [105.0, 531.0]], ('Total:', 0.9664450287818909)], [[[357.0, 510.0], [397.0, 510.0], [397.0, 529.0], [357.0, 529.0]], ('0.00', 0.9974071383476257)], [[[104.0, 535.0], [212.0, 535.0], [212.0, 552.0], [104.0, 552.0]], ('GST @6Paid', 0.9572098851203918)], [[[357.0, 532.0], [425.0, 532.0], [425.0, 550.0], [357.0, 550.0]], ('0.00', 0.9767112731933594)], [[[126.0, 557.0], [370.0, 554.0], [370.0, 571.0], [126.0, 574.0]], ('1CL0SED23 No1621:34:32', 0.8996396660804749)], [[[85.0, 579.0], [425.0, 578.0], [425.0, 595.0], [85.0, 596.0]], ('Visit www.pizzahutsurvey.com.my share', 0.9639620184898376)], [[[91.0, 601.0], [426.0, 597.0], [426.0, 617.0], [91.0, 621.0]], ('your experience within 5 Days and get', 0.9627031683921814)], [[[92.0, 622.0], [426.0, 620.0], [426.0, 638.0], [92.0, 640.0]], ('Free 1 Garlic Bread & 1 Mushroom Soup', 0.9152904152870178)], [[[129.0, 646.0], [260.0, 646.0], [260.0, 663.0], [129.0, 663.0]], ('Survey Code ', 0.9346246123313904)], [[[91.0, 667.0], [428.0, 665.0], [428.0, 686.0], [91.0, 688.0]], ('Dine In/Take Away: With any pizza or', 0.9174325466156006)], [[[98.0, 695.0], [408.0, 690.0], [408.0, 707.0], [98.0, 712.0]], ('pasta purchase on your next yisit.', 0.9425042271614075)], [[[80.0, 716.0], [425.0, 711.0], [425.0, 731.0], [81.0, 736.0]], ('Del ivery: With Min. purchase of RM20', 0.8950512409210205)], [[[106.0, 739.0], [412.0, 736.0], [413.0, 756.0], [106.0, 759.0]], ('Valid 30 Days from receipt date.', 0.9174551963806152)], [[[98.0, 764.0], [411.0, 760.0], [412.0, 779.0], [98.0, 783.0]], ('Valid with Original Receipt only.', 0.9192770719528198)], [[[116.0, 789.0], [394.0, 787.0], [394.0, 804.0], [117.0, 806.0]], ('One 1) redemption per yisit', 0.8992394804954529)], [[[126.0, 811.0], [385.0, 809.0], [385.0, 829.0], [126.0, 831.0]], ('*Terms & Conditions appi ies', 0.9300145506858826)], [[[86.0, 835.0], [433.0, 829.0], [433.0, 850.0], [87.0, 856.0]], ('PIZZA HUT RESTAURANTS S/B.113925-U', 0.9385486841201782)], [[[99.0, 903.0], [197.0, 906.0], [196.0, 926.0], [99.0, 923.0]], ('GSTSummary', 0.9957008361816406)], [[[208.0, 907.0], [387.0, 899.0], [388.0, 920.0], [209.0, 928.0]], ('Amount (RM) GST(RM)', 0.8676650524139404)], [[[97.0, 928.0], [175.0, 928.0], [175.0, 949.0], [97.0, 949.0]], ('S=GST @', 0.91635662317276)], [[[208.0, 929.0], [253.0, 929.0], [253.0, 951.0], [208.0, 951.0]], ('0.00', 0.9972572326660156)], [[[322.0, 924.0], [366.0, 924.0], [366.0, 947.0], [322.0, 947.0]], ('0.00', 0.9957883358001709)]]	{"store_name": "PIZZAHUTTEMERLOH PIZZAHUT", "store_addr": "JinUtara,46200P.Jaya.Selangor Lvl7Tower1,VSquare@PJCityCentre", "telephone": "0192370685", "date": "1CLOSED23 Nov16 23Nov16", "time": "21:34:32", "subtotal": "", "tax": "", "total": "", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "MDSOUPT", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "MDGBTT", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "NEWGESGB+SOUPT", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "GESREDEEMTT", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "CUSTOMERNAMETT", "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	[[[[151.0, 111.0], [226.0, 111.0], [226.0, 136.0], [151.0, 136.0]], ('LiDL', 0.8489010334014893)], [[[46.0, 143.0], [335.0, 149.0], [335.0, 166.0], [46.0, 161.0]], ('Reso art. entro 30 con scontring', 0.8506743907928467)], [[[85.0, 166.0], [296.0, 170.0], [296.0, 186.0], [85.0, 182.0]], ('LIDL ITAIA SRL ROnRM', 0.7922642827033997)], [[[78.0, 188.0], [310.0, 191.0], [310.0, 208.0], [78.0, 205.0]], ('V Dele Rust.ca133 00155', 0.8292156457901001)], [[[45.0, 208.0], [335.0, 212.0], [335.0, 230.0], [45.0, 225.0]], ('PI02275030233RREE IT08020000001777', 0.9291837811470032)], [[[135.0, 231.0], [244.0, 234.0], [243.0, 251.0], [135.0, 249.0]], ('LU-SA830-21', 0.9677934646606445)], [[[299.0, 253.0], [337.0, 256.0], [336.0, 275.0], [298.0, 273.0]], ('EURO', 0.9850291013717651)], [[[38.0, 272.0], [187.0, 274.0], [187.0, 291.0], [37.0, 289.0]], ('GRANA PADANO GRATT', 0.8297616243362427)], [[[298.0, 277.0], [337.0, 277.0], [337.0, 296.0], [298.0, 296.0]], ('235', 0.513128936290741)], [[[38.0, 294.0], [203.0, 297.0], [203.0, 314.0], [37.0, 311.0]], ('RANR CAPPELLEITE PRD', 0.8580310940742493)], [[[296.0, 298.0], [337.0, 298.0], [337.0, 317.0], [296.0, 317.0]], ('5.50', 0.9065308570861816)], [[[61.0, 316.0], [181.0, 319.0], [180.0, 336.0], [61.0, 333.0]], ('Cad2.75 Pz.2', 0.8768293261528015)], [[[37.0, 338.0], [188.0, 340.0], [188.0, 357.0], [36.0, 355.0]], ('PRNC.CUE.DOLCE/AFF', 0.8332597613334656)], [[[299.0, 339.0], [336.0, 342.0], [335.0, 361.0], [298.0, 358.0]], ('1,89', 0.8607311844825745)], [[[38.0, 359.0], [187.0, 362.0], [186.0, 379.0], [37.0, 376.0]], ('CREMA CON MOCCELE', 0.8502056002616882)], [[[297.0, 361.0], [337.0, 363.0], [336.0, 382.0], [296.0, 380.0]], ('1.49', 0.9219977259635925)], [[[37.0, 379.0], [172.0, 383.0], [171.0, 402.0], [36.0, 397.0]], ('PANA DA CUCINA', 0.7937009930610657)], [[[297.0, 385.0], [336.0, 385.0], [336.0, 403.0], [297.0, 403.0]], ('2.69', 0.966886579990387)], [[[34.0, 401.0], [115.0, 403.0], [114.0, 421.0], [33.0, 418.0]], ('SALE.FINO', 0.8180434107780457)], [[[297.0, 405.0], [336.0, 405.0], [336.0, 425.0], [297.0, 425.0]], ('0.17', 0.9543410539627075)], [[[37.0, 425.0], [157.0, 425.0], [157.0, 442.0], [37.0, 442.0]], ('UOVA ALL TERRA', 0.8323705792427063)], [[[298.0, 428.0], [335.0, 428.0], [335.0, 447.0], [298.0, 447.0]], ('1.25', 0.9683949947357178)], [[[37.0, 445.0], [171.0, 447.0], [170.0, 464.0], [36.0, 462.0]], ('SUGO FOMOD.SASIL', 0.8202449679374695)], [[[297.0, 449.0], [335.0, 449.0], [335.0, 468.0], [297.0, 468.0]], ('0.99', 0.9855388402938843)], [[[38.0, 466.0], [202.0, 468.0], [202.0, 486.0], [37.0, 484.0]], ('CASERECCIO AFFETTATO', 0.9303024411201477)], [[[297.0, 471.0], [336.0, 471.0], [336.0, 490.0], [297.0, 490.0]], ('0.99', 0.9388833045959473)], [[[52.0, 488.0], [147.0, 490.0], [147.0, 519.0], [52.0, 516.0]], ('TOTALE EURO', 0.9133180975914001)], [[[288.0, 491.0], [354.0, 491.0], [354.0, 525.0], [288.0, 525.0]], ('17,36', 0.8599835634231567)], [[[52.0, 523.0], [201.0, 525.0], [201.0, 542.0], [52.0, 540.0]], ('PAGAMENTO CONTANTE', 0.9398716688156128)], [[[290.0, 524.0], [335.0, 527.0], [334.0, 546.0], [289.0, 544.0]], ('17.50', 0.9824920892715454)], [[[50.0, 563.0], [98.0, 565.0], [97.0, 585.0], [49.0, 582.0]], ('RESTO', 0.9914234280586243)], [[[297.0, 569.0], [335.0, 569.0], [335.0, 587.0], [297.0, 587.0]], ('0.14', 0.9772644639015198)], [[[34.0, 608.0], [81.0, 608.0], [81.0, 626.0], [34.0, 626.0]], ('ARI9', 0.7915797233581543)], [[[117.0, 607.0], [179.0, 610.0], [178.0, 629.0], [116.0, 627.0]], ('6536/02', 0.9641379714012146)], [[[248.0, 610.0], [333.0, 613.0], [332.0, 631.0], [247.0, 629.0]], ('2111131228', 0.9951683878898621)], [[[35.0, 672.0], [152.0, 674.0], [152.0, 692.0], [34.0, 689.0]], ('21/11/1312-28', 0.990803599357605)], [[[264.0, 676.0], [343.0, 676.0], [343.0, 698.0], [264.0, 698.0]], ('SC.N.38', 0.9469303488731384)], [[[123.0, 694.0], [238.0, 699.0], [237.0, 716.0], [123.0, 711.0]], ('ET52011103', 0.938147246837616)]]	{"store_name": "LiDL", "store_addr": "", "telephone": "", "date": "21/11/13", "time": "12-28", "subtotal": "", "tax": "", "total": "17.36", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "GRANAPADANDGRATT", "item_value": "2.39", "item_quantity": "1"}, {"item_key": "", "item_name": "PANNADACUCINA", "item_value": "5.50", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "1.89", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "1.49", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "2.69", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "0.17", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "1.25", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "0.99", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "0.99", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[552.0, 13.0], [680.0, 13.0], [680.0, 55.0], [552.0, 55.0]], ('OST', 0.9878796935081482)], [[[489.0, 85.0], [540.0, 85.0], [540.0, 112.0], [489.0, 112.0]], ('SINCE', 0.996861457824707)], [[[697.0, 77.0], [738.0, 77.0], [738.0, 103.0], [697.0, 103.0]], ('1971', 0.9949628710746765)], [[[495.0, 267.0], [631.0, 258.0], [633.0, 286.0], [497.0, 296.0]], ('Coste Coffee', 0.904252290725708)], [[[485.0, 297.0], [640.0, 288.0], [642.0, 314.0], [487.0, 324.0]], ('The Hetropolis', 0.9355583190917969)], [[[419.0, 329.0], [693.0, 313.0], [694.0, 341.0], [420.0, 357.0]], ('9 North Bouna Vista Drive', 0.9520782232284546)], [[[426.0, 357.0], [679.0, 345.0], [681.0, 373.0], [427.0, 385.0]], ('#01-10. The Metropolis,', 0.8995674848556519)], [[[509.0, 384.0], [595.0, 378.0], [597.0, 408.0], [511.0, 414.0]], ('Tower 1', 0.9229995608329773)], [[[443.0, 419.0], [658.0, 406.0], [660.0, 434.0], [444.0, 447.0]], ('GST NO201210307H', 0.9627283811569214)], [[[709.0, 497.0], [788.0, 493.0], [790.0, 523.0], [710.0, 527.0]], ('@Price', 0.9550142884254456)], [[[799.0, 490.0], [881.0, 484.0], [884.0, 515.0], [801.0, 521.0]], ('Anpunt', 0.8606236577033997)], [[[233.0, 522.0], [417.0, 516.0], [418.0, 545.0], [234.0, 550.0]], ('Qty Description', 0.9724960327148438)], [[[228.0, 588.0], [290.0, 588.0], [290.0, 620.0], [228.0, 620.0]], ('TA', 0.9993833303451538)], [[[731.0, 597.0], [789.0, 597.0], [789.0, 628.0], [731.0, 628.0]], ('6.50', 0.9918397665023804)], [[[828.0, 590.0], [886.0, 590.0], [886.0, 622.0], [828.0, 622.0]], ('6.50', 0.9951025247573853)], [[[225.0, 625.0], [249.0, 625.0], [249.0, 647.0], [225.0, 647.0]], ('1x', 0.9239934682846069)], [[[276.0, 620.0], [500.0, 611.0], [502.0, 640.0], [277.0, 649.0]], ('Prino Hot Choc Mint', 0.951982319355011)], [[[811.0, 627.0], [876.0, 627.0], [876.0, 658.0], [811.0, 658.0]], ('-6.50', 0.9839369058609009)], [[[296.0, 654.0], [497.0, 646.0], [498.0, 675.0], [297.0, 682.0]], ('Be Our Guest Disc', 0.9397954940795898)], [[[731.0, 668.0], [789.0, 668.0], [789.0, 700.0], [731.0, 700.0]], ('6.90', 0.9951506853103638)], [[[829.0, 664.0], [888.0, 659.0], [891.0, 691.0], [832.0, 696.0]], ('6.90', 0.9958754777908325)], [[[216.0, 695.0], [244.0, 695.0], [244.0, 717.0], [216.0, 717.0]], ('1x', 0.9427714943885803)], [[[269.0, 690.0], [517.0, 680.0], [519.0, 708.0], [270.0, 719.0]], ('Chicken Caesar Wrap B', 0.9365598559379578)], [[[809.0, 702.0], [878.0, 698.0], [880.0, 730.0], [811.0, 734.0]], ('-6.90', 0.9628463983535767)], [[[288.0, 725.0], [492.0, 718.0], [493.0, 746.0], [289.0, 754.0]], ('Be Our Guest Disc', 0.9469898343086243)], [[[547.0, 790.0], [585.0, 790.0], [585.0, 828.0], [547.0, 828.0]], ('$', 0.9644534587860107)], [[[748.0, 782.0], [889.0, 776.0], [890.0, 813.0], [749.0, 819.0]], ('0.00', 0.9747873544692993)], [[[201.0, 798.0], [353.0, 798.0], [353.0, 833.0], [201.0, 833.0]], ('TOTAL', 0.9987729787826538)], [[[192.0, 838.0], [412.0, 831.0], [413.0, 862.0], [193.0, 869.0]], ('Total Quantity:2', 0.9304091334342957)], [[[173.0, 955.0], [376.0, 948.0], [377.0, 981.0], [175.0, 989.0]], ('Receipt :000064', 0.9254059195518494)], [[[168.0, 997.0], [485.0, 990.0], [486.0, 1023.0], [169.0, 1030.0]], ('Terinal:008 Shift :01', 0.8997830152511597)], [[[167.0, 1042.0], [496.0, 1035.0], [496.0, 1065.0], [167.0, 1072.0]], ('Date31/10/201309:37:58', 0.9671436548233032)], [[[162.0, 1084.0], [557.0, 1076.0], [558.0, 1110.0], [162.0, 1117.0]], ('Cashier :Noorfizurah Bte Jama', 0.9291871786117554)], [[[372.0, 1172.0], [666.0, 1172.0], [666.0, 1205.0], [372.0, 1205.0]], ('Thank you for visiting', 0.9490737318992615)], [[[278.0, 1218.0], [752.0, 1223.0], [751.0, 1257.0], [278.0, 1252.0]], ('Find out more about Costa Coffee at', 0.9475301504135132)], [[[367.0, 1266.0], [668.0, 1274.0], [668.0, 1307.0], [366.0, 1300.0]], ('www.costacoffee.com.sg', 0.9659044146537781)], [[[369.0, 1313.0], [670.0, 1324.0], [669.0, 1359.0], [368.0, 1348.0]], ('You can write to us at', 0.9532098174095154)], [[[373.0, 1360.0], [658.0, 1372.0], [657.0, 1407.0], [371.0, 1395.0]], ('[email protected]', 0.990136981010437)], [[[70.0, 1503.0], [718.0, 1507.0], [717.0, 1553.0], [70.0, 1550.0]], ('http://reviews-all.blogspot.sg', 0.9753580093383789)]]	{"store_name": "CostaCoffee COSTA COFFEE", "store_addr": "Tower1 #01-10.TheMetropolis, 9NorthBounaVistaDrive TheMetropolis", "telephone": "", "date": "31/0/2013", "time": "09:37:58", "subtotal": "", "tax": "", "total": "0.00", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "ChickenCaesarWrapB", "item_value": "6.50", "item_quantity": "1"}, {"item_key": "", "item_name": "PrimoHotChocMint", "item_value": "6.90", "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	[[[[106.0, 0.0], [198.0, 0.0], [198.0, 10.0], [106.0, 10.0]], ('(341)342-7822F)', 0.8485062718391418)], [[[69.0, 17.0], [228.0, 22.0], [227.0, 39.0], [68.0, 33.0]], ('LET US CATER YOUR NEXT EVENT', 0.94630366563797)], [[[45.0, 41.0], [194.0, 47.0], [193.0, 63.0], [44.0, 58.0]], ('ORDER#01601', 0.9422691464424133)], [[[74.0, 71.0], [150.0, 74.0], [150.0, 88.0], [73.0, 85.0]], ('SH STEAKHOUSE', 0.9116531014442444)], [[[230.0, 74.0], [257.0, 74.0], [257.0, 89.0], [230.0, 89.0]], ('5.19', 0.9929378032684326)], [[[73.0, 84.0], [108.0, 86.0], [107.0, 101.0], [72.0, 99.0]], ('CHIPS', 0.9966384172439575)], [[[230.0, 88.0], [257.0, 88.0], [257.0, 103.0], [230.0, 103.0]], ('1.19', 0.9938473701477051)], [[[73.0, 101.0], [128.0, 101.0], [128.0, 115.0], [73.0, 115.0]], ('MED DRINK', 0.9485051035881042)], [[[231.0, 102.0], [257.0, 102.0], [257.0, 117.0], [231.0, 117.0]], ('1.59', 0.9927800893783569)], [[[63.0, 115.0], [166.0, 115.0], [166.0, 129.0], [63.0, 129.0]], ('1$2.99 SM SUB CMB', 0.9231657385826111)], [[[227.0, 116.0], [257.0, 116.0], [257.0, 130.0], [227.0, 130.0]], ('-4.98', 0.9378495216369629)], [[[56.0, 141.0], [95.0, 141.0], [95.0, 156.0], [56.0, 156.0]], ('EAT-IN', 0.9933678507804871)], [[[180.0, 170.0], [192.0, 170.0], [192.0, 184.0], [180.0, 184.0]], ('$', 0.7188498377799988)], [[[231.0, 168.0], [258.0, 168.0], [258.0, 183.0], [231.0, 183.0]], ('2.99', 0.9958702921867371)], [[[71.0, 183.0], [126.0, 183.0], [126.0, 197.0], [71.0, 197.0]], ('TAX TOTAL', 0.9465939998626709)], [[[179.0, 184.0], [191.0, 184.0], [191.0, 200.0], [179.0, 200.0]], ('$', 0.5861725211143494)], [[[231.0, 182.0], [258.0, 182.0], [258.0, 197.0], [231.0, 197.0]], ('0.21', 0.9944806098937988)], [[[71.0, 197.0], [103.0, 197.0], [103.0, 212.0], [71.0, 212.0]], ('TOTAL', 0.9982194900512695)], [[[180.0, 197.0], [192.0, 197.0], [192.0, 212.0], [180.0, 212.0]], ('$', 0.5696889162063599)], [[[232.0, 195.0], [260.0, 195.0], [260.0, 211.0], [232.0, 211.0]], ('3.20', 0.9941695928573608)], [[[69.0, 224.0], [97.0, 224.0], [97.0, 240.0], [69.0, 240.0]], ('CASH', 0.997486412525177)], [[[180.0, 224.0], [192.0, 224.0], [192.0, 240.0], [180.0, 240.0]], ('$', 0.9149777889251709)], [[[231.0, 222.0], [262.0, 222.0], [262.0, 241.0], [231.0, 241.0]], ('5.25', 0.98381507396698)], [[[68.0, 254.0], [107.0, 254.0], [107.0, 269.0], [68.0, 269.0]], ('CHANGE', 0.9981955885887146)], [[[179.0, 254.0], [191.0, 254.0], [191.0, 269.0], [179.0, 269.0]], ('$', 0.7477009296417236)], [[[232.0, 253.0], [262.0, 253.0], [262.0, 269.0], [232.0, 269.0]], ('2.05', 0.9954066872596741)], [[[36.0, 282.0], [65.0, 285.0], [63.0, 301.0], [34.0, 298.0]], ('7447', 0.9987769722938538)], [[[115.0, 284.0], [161.0, 284.0], [161.0, 298.0], [115.0, 298.0]], ('COUNTER', 0.9971091151237488)], [[[201.0, 284.0], [267.0, 284.0], [267.0, 298.0], [201.0, 298.0]], ('JUN.16,2010', 0.935777485370636)], [[[127.0, 299.0], [172.0, 299.0], [172.0, 313.0], [127.0, 313.0]], ('REGI-PM', 0.9538183212280273)], [[[212.0, 299.0], [244.0, 299.0], [244.0, 313.0], [212.0, 313.0]], ('17:16', 0.9565938711166382)], [[[36.0, 330.0], [188.0, 330.0], [188.0, 344.0], [36.0, 344.0]], ('TELL US HOW WE ARE DOING!', 0.9049070477485657)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "JUN.16,2010", "time": "17:16", "subtotal": "$2.99", "tax": "$0.21", "total": "$3.20", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "SMSTEAKHOUSE", "item_value": "5.19", "item_quantity": "1"}, {"item_key": "", "item_name": "CHIPS", "item_value": "1.19", "item_quantity": "1"}, {"item_key": "", "item_name": "MEDDRINK", "item_value": "1.59", "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	[[[[479.0, 195.0], [687.0, 195.0], [687.0, 260.0], [479.0, 260.0]], ("Sam's", 0.9242935180664062)], [[[524.0, 258.0], [645.0, 262.0], [644.0, 292.0], [523.0, 288.0]], ('CIUB', 0.8889846801757812)], [[[317.0, 402.0], [778.0, 427.0], [775.0, 481.0], [314.0, 456.0]], ('Self Checkout', 0.9637905359268188)], [[[290.0, 469.0], [798.0, 501.0], [796.0, 536.0], [287.0, 504.0]], ('CLUB HANAGER CHRISTINE PATKE', 0.9621668457984924)], [[[385.0, 508.0], [715.0, 531.0], [713.0, 564.0], [383.0, 541.0]], ('210641-4810', 0.9625350832939148)], [[[401.0, 541.0], [681.0, 563.0], [678.0, 596.0], [398.0, 574.0]], ('SAN ANTONIO,TX', 0.9319229125976562)], [[[377.0, 573.0], [710.0, 597.0], [707.0, 632.0], [374.0, 608.0]], ('Visit SansClub.con', 0.9243800640106201)], [[[179.0, 594.0], [705.0, 629.0], [702.0, 662.0], [177.0, 628.0]], ('10/07/1314:2128566262 090', 0.968852162361145)], [[[839.0, 632.0], [915.0, 632.0], [915.0, 670.0], [839.0, 670.0]], ('9090', 0.9975744485855103)], [[[167.0, 656.0], [654.0, 686.0], [651.0, 721.0], [165.0, 691.0]], ('UMEHBER101-*******6997', 0.9243532419204712)], [[[158.0, 721.0], [536.0, 736.0], [534.0, 794.0], [156.0, 779.0]], ('THANK YOU,', 0.959320068359375)], [[[145.0, 803.0], [391.0, 807.0], [390.0, 842.0], [145.0, 838.0]], ('WILLIAM RORK', 0.9535548090934753)], [[[159.0, 882.0], [181.0, 882.0], [181.0, 913.0], [159.0, 913.0]], ('E', 0.998132050037384)], [[[222.0, 878.0], [609.0, 882.0], [608.0, 917.0], [221.0, 913.0]], ('690415 NTR6RN32UARF', 0.9153226613998413)], [[[816.0, 890.0], [919.0, 890.0], [919.0, 925.0], [816.0, 925.0]], ('8.70', 0.8495321273803711)], [[[917.0, 895.0], [938.0, 895.0], [938.0, 920.0], [917.0, 920.0]], ('H', 0.671550989151001)], [[[154.0, 911.0], [178.0, 913.0], [173.0, 959.0], [149.0, 957.0]], ('E', 0.6736813187599182)], [[[218.0, 917.0], [609.0, 918.0], [608.0, 953.0], [218.0, 952.0]], ('516087 NUTELA35.30F', 0.9554638862609863)], [[[816.0, 926.0], [909.0, 921.0], [911.0, 958.0], [818.0, 962.0]], ('6.65', 0.994226336479187)], [[[152.0, 951.0], [173.0, 954.0], [166.0, 994.0], [146.0, 991.0]], ('E', 0.8126184344291687)], [[[217.0, 953.0], [609.0, 955.0], [608.0, 990.0], [216.0, 988.0]], ('909303 E060WAFFLESF', 0.8904145956039429)], [[[822.0, 960.0], [910.0, 960.0], [910.0, 995.0], [822.0, 995.0]], ('9.98', 0.9928837418556213)], [[[147.0, 989.0], [168.0, 992.0], [161.0, 1038.0], [141.0, 1035.0]], ('E', 0.728611409664154)], [[[213.0, 990.0], [607.0, 993.0], [607.0, 1032.0], [213.0, 1028.0]], ('887268 ALMOND HILKF', 0.912468433380127)], [[[825.0, 997.0], [914.0, 997.0], [914.0, 1033.0], [825.0, 1033.0]], ('7.98', 0.9954978227615356)], [[[210.0, 1032.0], [605.0, 1033.0], [605.0, 1068.0], [210.0, 1067.0]], ('738199 Z00ANIMALCRF', 0.915350079536438)], [[[827.0, 1035.0], [917.0, 1035.0], [917.0, 1072.0], [827.0, 1072.0]], ('7.98', 0.9935758709907532)], [[[931.0, 1043.0], [948.0, 1043.0], [948.0, 1068.0], [931.0, 1068.0]], ('H', 0.8052235245704651)], [[[228.0, 1073.0], [605.0, 1073.0], [605.0, 1108.0], [228.0, 1108.0]], ('11116 0LIVE OIL 2F', 0.8635334968566895)], [[[810.0, 1075.0], [914.0, 1075.0], [914.0, 1112.0], [810.0, 1112.0]], ('13.48', 0.9854030609130859)], [[[205.0, 1113.0], [602.0, 1113.0], [602.0, 1147.0], [205.0, 1147.0]], ('899806 CH 16CT HAMF', 0.8987356424331665)], [[[823.0, 1110.0], [957.0, 1114.0], [955.0, 1157.0], [821.0, 1153.0]], ('2.56N', 0.9191433191299438)], [[[128.0, 1150.0], [153.0, 1150.0], [153.0, 1195.0], [128.0, 1195.0]], ('E', 0.8360442519187927)], [[[203.0, 1155.0], [603.0, 1155.0], [603.0, 1188.0], [203.0, 1188.0]], ('725872 B/SCKI BRSF', 0.8667024970054626)], [[[807.0, 1151.0], [958.0, 1155.0], [957.0, 1199.0], [806.0, 1195.0]], ('17.58N', 0.9234306216239929)], [[[125.0, 1192.0], [153.0, 1196.0], [147.0, 1235.0], [120.0, 1231.0]], ('E', 0.9946982860565186)], [[[199.0, 1198.0], [602.0, 1198.0], [602.0, 1232.0], [199.0, 1232.0]], ('173634 0RND TURKEYF', 0.8793197274208069)], [[[808.0, 1197.0], [939.0, 1197.0], [939.0, 1238.0], [808.0, 1238.0]], ('12.95', 0.9965814352035522)], [[[193.0, 1240.0], [583.0, 1240.0], [583.0, 1275.0], [193.0, 1275.0]], ('239220 9I6SEXY 100', 0.8786017894744873)], [[[811.0, 1242.0], [927.0, 1242.0], [927.0, 1278.0], [811.0, 1278.0]], ('11.98', 0.9876365661621094)], [[[112.0, 1277.0], [139.0, 1281.0], [134.0, 1319.0], [106.0, 1316.0]], ('E', 0.9937263131141663)], [[[208.0, 1283.0], [603.0, 1283.0], [603.0, 1318.0], [208.0, 1318.0]], ('14183DP 32PACK F', 0.9120227694511414)], [[[830.0, 1280.0], [970.0, 1280.0], [970.0, 1327.0], [830.0, 1327.0]], ('7.98 T', 0.8617807030677795)], [[[506.0, 1325.0], [684.0, 1325.0], [684.0, 1365.0], [506.0, 1365.0]], ('SUBTOTAL', 0.9956737756729126)], [[[789.0, 1323.0], [924.0, 1323.0], [924.0, 1370.0], [789.0, 1370.0]], ('107.90', 0.997560441493988)], [[[286.0, 1365.0], [411.0, 1365.0], [411.0, 1413.0], [286.0, 1413.0]], ('TAX 1', 0.9144244194030762)], [[[481.0, 1370.0], [641.0, 1370.0], [641.0, 1412.0], [481.0, 1412.0]], ('8.250', 0.9872040748596191)], [[[829.0, 1371.0], [924.0, 1366.0], [926.0, 1411.0], [832.0, 1416.0]], ('1.65', 0.996607780456543)], [[[573.0, 1413.0], [684.0, 1413.0], [684.0, 1457.0], [573.0, 1457.0]], ('TOTAL', 0.9982406497001648)], [[[789.0, 1413.0], [926.0, 1413.0], [926.0, 1460.0], [789.0, 1460.0]], ('109.55', 0.9957993626594543)], [[[426.0, 1457.0], [687.0, 1457.0], [687.0, 1502.0], [426.0, 1502.0]], ('DEBITTEND', 0.9918003082275391)], [[[789.0, 1458.0], [922.0, 1458.0], [922.0, 1500.0], [789.0, 1500.0]], ('109.55', 0.9982463717460632)], [[[446.0, 1504.0], [678.0, 1498.0], [679.0, 1543.0], [447.0, 1549.0]], ('CHANGE DUE', 0.9599172472953796)], [[[824.0, 1499.0], [919.0, 1494.0], [921.0, 1538.0], [827.0, 1542.0]], ('0.00', 0.9984413385391235)]]	{"store_name": "CLUB Sam's", "store_addr": "SANANTONIO,TX", "telephone": "(210)64-4810", "date": "10/07/13", "time": "14:21", "subtotal": "107.90", "tax": "1.65", "total": "109.55 109.55", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "NTRGRN32VARF", "item_value": "8.78", "item_quantity": "1"}, {"item_key": "", "item_name": "NUTELA35.30F", "item_value": "6.65", "item_quantity": "1"}, {"item_key": "", "item_name": "EGGOWAFFLESF", "item_value": "9.98", "item_quantity": "1"}, {"item_key": "", "item_name": "ALMONDMILKF", "item_value": "7.98", "item_quantity": "1"}, {"item_key": "", "item_name": "ZOOANIMALCRF", "item_value": "7.98", "item_quantity": "1"}, {"item_key": "", "item_name": "OLIVEOIL2F", "item_value": "13.48", "item_quantity": "1"}, {"item_key": "", "item_name": "CH16CTHAMF", "item_value": "2.56", "item_quantity": "1"}, {"item_key": "", "item_name": "B/SCKIBRSF", "item_value": "17.58", "item_quantity": "1"}, {"item_key": "", "item_name": "GRNDTURKEYF", "item_value": "12.95", "item_quantity": "1"}, {"item_key": "", "item_name": "BIGSEXY100", "item_value": "11.98", "item_quantity": "1"}, {"item_key": "", "item_name": "DP32PACKF", "item_value": "7.98", "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	[[[[108.0, 128.0], [265.0, 124.0], [266.0, 153.0], [109.0, 157.0]], ('THANKS YOU FOR', 0.9377394914627075)], [[[102.0, 156.0], [276.0, 154.0], [276.0, 185.0], [102.0, 187.0]], ('CHOOSING PROPEL', 0.9770739078521729)], [[[102.0, 186.0], [254.0, 188.0], [254.0, 220.0], [102.0, 218.0]], ('350GRAND AVE', 0.9737256169319153)], [[[98.0, 221.0], [288.0, 219.0], [288.0, 250.0], [98.0, 252.0]], ('OAKLAND CA 94610', 0.9305456280708313)], [[[97.0, 252.0], [290.0, 251.0], [290.0, 272.0], [97.0, 273.0]], ('08/13/1505:58', 0.9664624333381653)], [[[295.0, 251.0], [428.0, 247.0], [428.0, 265.0], [295.0, 269.0]], ('PAYMENTECH', 0.9946765899658203)], [[[92.0, 285.0], [338.0, 283.0], [338.0, 304.0], [92.0, 306.0]], ('TRANS#2819V1SA', 0.9774676561355591)], [[[89.0, 303.0], [196.0, 306.0], [196.0, 324.0], [89.0, 321.0]], ('METHOD', 0.992682695388794)], [[[196.0, 305.0], [374.0, 303.0], [374.0, 320.0], [196.0, 322.0]], ('SWIPEDCREDIT', 0.9869900345802307)], [[[87.0, 337.0], [174.0, 337.0], [174.0, 358.0], [87.0, 358.0]], ('CARD#', 0.9928206205368042)], [[[197.0, 341.0], [402.0, 341.0], [402.0, 358.0], [197.0, 358.0]], ('XXXXXXXXXXXX9127', 0.690128743648529)], [[[194.0, 356.0], [324.0, 359.0], [324.0, 379.0], [194.0, 376.0]], ('EXPxx/xx', 0.8394020795822144)], [[[82.0, 393.0], [174.0, 393.0], [174.0, 411.0], [82.0, 411.0]], ('AUTH #', 0.9373388290405273)], [[[191.0, 393.0], [270.0, 395.0], [270.0, 416.0], [191.0, 414.0]], ('013159', 0.9982532858848572)], [[[77.0, 410.0], [295.0, 416.0], [295.0, 437.0], [77.0, 431.0]], ('RETRVL#:00C0O004', 0.8620245456695557)], [[[73.0, 449.0], [168.0, 451.0], [168.0, 472.0], [73.0, 470.0]], ('PUMP#', 0.9821626543998718)], [[[184.0, 457.0], [199.0, 454.0], [203.0, 470.0], [188.0, 474.0]], ('1', 0.9176487326622009)], [[[72.0, 469.0], [191.0, 475.0], [190.0, 496.0], [71.0, 490.0]], ('PRODUCT', 0.9899401068687439)], [[[184.0, 475.0], [322.0, 480.0], [321.0, 501.0], [183.0, 496.0]], ('DIESEL HPR', 0.9500495791435242)], [[[68.0, 492.0], [121.0, 492.0], [121.0, 514.0], [68.0, 514.0]], ('QTY:', 0.9805526733398438)], [[[184.0, 494.0], [380.0, 505.0], [379.0, 529.0], [183.0, 518.0]], ('21.112GALLONS', 0.9847988486289978)], [[[66.0, 509.0], [119.0, 512.0], [118.0, 535.0], [65.0, 532.0]], ('PPU:', 0.963493824005127)], [[[183.0, 516.0], [267.0, 520.0], [266.0, 544.0], [182.0, 540.0]], ('$2.759', 0.996396005153656)], [[[65.0, 531.0], [142.0, 536.0], [141.0, 558.0], [63.0, 552.0]], ('TOTAL:', 0.9806436896324158)], [[[182.0, 536.0], [265.0, 542.0], [263.0, 567.0], [180.0, 561.0]], ('$58.25', 0.9936855435371399)], [[[191.0, 583.0], [208.0, 583.0], [208.0, 607.0], [191.0, 607.0]], ('1', 0.9970964193344116)]]	{"store_name": "", "store_addr": "350GRANDAVE OAKLANDCA94610", "telephone": "", "date": "08/13/15", "time": "05:58", "subtotal": "", "tax": "", "total": "$58.25", "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	[[[[179.0, 151.0], [364.0, 152.0], [364.0, 173.0], [179.0, 172.0]], ('BALENCIAGA', 0.9965921640396118)], [[[223.0, 198.0], [318.0, 201.0], [317.0, 216.0], [223.0, 213.0]], ('336.Fue St Honore', 0.8941068649291992)], [[[248.0, 189.0], [298.0, 189.0], [298.0, 203.0], [248.0, 203.0]], ('St Honore', 0.9454619884490967)], [[[218.0, 221.0], [328.0, 222.0], [328.0, 236.0], [218.0, 235.0]], ('Tel +33 1 76 77 3700', 0.8423135876655579)], [[[243.0, 213.0], [303.0, 213.0], [303.0, 224.0], [243.0, 224.0]], ('Paris75001', 0.942720890045166)], [[[126.0, 240.0], [347.0, 243.0], [347.0, 260.0], [126.0, 257.0]], ('Ticket17431Date16/9/1717:19:55', 0.9351521134376526)], [[[127.0, 253.0], [277.0, 256.0], [277.0, 270.0], [127.0, 267.0]], ('Boutique80310 Caisse2', 0.8915379047393799)], [[[127.0, 264.0], [218.0, 265.0], [218.0, 279.0], [127.0, 278.0]], ('Calssier310030', 0.9162914156913757)], [[[127.0, 275.0], [237.0, 277.0], [237.0, 291.0], [127.0, 289.0]], ('Client FABIEN GONIS', 0.8320287466049194)], [[[127.0, 286.0], [262.0, 288.0], [261.0, 302.0], [127.0, 300.0]], ('ID c1ient80310002007046', 0.9567155241966248)], [[[128.0, 307.0], [172.0, 309.0], [171.0, 323.0], [127.0, 321.0]], ('Article', 0.9887213706970215)], [[[199.0, 309.0], [217.0, 312.0], [215.0, 325.0], [197.0, 322.0]], ('Qte', 0.9857416152954102)], [[[288.0, 311.0], [313.0, 311.0], [313.0, 326.0], [288.0, 326.0]], ('Prix', 0.992316484451294)], [[[133.0, 321.0], [187.0, 321.0], [187.0, 332.0], [133.0, 332.0]], ('807831504', 0.9884082078933716)], [[[284.0, 321.0], [317.0, 321.0], [317.0, 335.0], [284.0, 335.0]], ('495.00', 0.9770967364311218)], [[[333.0, 312.0], [392.0, 312.0], [392.0, 326.0], [333.0, 326.0]], ('Montant EUR', 0.9245235919952393)], [[[132.0, 330.0], [326.0, 333.0], [326.0, 347.0], [132.0, 344.0]], ("MEN'SSH0ES 483502U05G0100046E", 0.8890951871871948)], [[[362.0, 323.0], [396.0, 323.0], [396.0, 337.0], [362.0, 337.0]], ('495.00', 0.9792641997337341)], [[[132.0, 341.0], [294.0, 345.0], [294.0, 358.0], [132.0, 354.0]], ('Vendeur 3i0999 (Tenporary Staff)', 0.8955302238464355)], [[[281.0, 396.0], [334.0, 398.0], [333.0, 413.0], [280.0, 411.0]], ('0101-sn0', 0.6667189598083496)], [[[361.0, 398.0], [395.0, 398.0], [395.0, 412.0], [361.0, 412.0]], ('412.50', 0.9127362370491028)], [[[313.0, 409.0], [334.0, 409.0], [334.0, 421.0], [313.0, 421.0]], ('TUA', 0.8341624736785889)], [[[364.0, 410.0], [395.0, 410.0], [395.0, 424.0], [364.0, 424.0]], ('0230', 0.6169185638427734)], [[[292.0, 429.0], [334.0, 429.0], [334.0, 443.0], [292.0, 443.0]], ('TE(EUR)', 0.9506934285163879)], [[[361.0, 428.0], [395.0, 432.0], [394.0, 446.0], [360.0, 442.0]], ('495.00', 0.9925501346588135)], [[[128.0, 451.0], [154.0, 451.0], [154.0, 463.0], [128.0, 463.0]], ('Visa', 0.9180270433425903)], [[[361.0, 451.0], [394.0, 451.0], [394.0, 466.0], [361.0, 466.0]], ('495.00', 0.9828647971153259)], [[[127.0, 471.0], [158.0, 471.0], [158.0, 485.0], [127.0, 485.0]], ('Solde', 0.9370220303535461)], [[[368.0, 473.0], [394.0, 473.0], [394.0, 488.0], [368.0, 488.0]], ('0.00', 0.9914849996566772)], [[[126.0, 493.0], [231.0, 492.0], [231.0, 506.0], [126.0, 507.0]], ("Nonbre d'article=1", 0.8850899934768677)], [[[127.0, 513.0], [181.0, 511.0], [182.0, 526.0], [128.0, 528.0]], ('Detail TVA', 0.7948047518730164)], [[[128.0, 526.0], [151.0, 526.0], [151.0, 538.0], [128.0, 538.0]], ('Code', 0.9236513376235962)], [[[212.0, 534.0], [246.0, 536.0], [245.0, 551.0], [211.0, 549.0]], ('412.50', 0.9637687802314758)], [[[231.0, 526.0], [245.0, 526.0], [245.0, 538.0], [231.0, 538.0]], ('HT', 0.9408434629440308)], [[[261.0, 527.0], [288.0, 527.0], [288.0, 540.0], [261.0, 540.0]], ('TUR', 0.589398205280304)], [[[328.0, 527.0], [347.0, 527.0], [347.0, 539.0], [328.0, 539.0]], ('TIC', 0.575034499168396)], [[[383.0, 526.0], [402.0, 528.0], [400.0, 541.0], [382.0, 539.0]], ('IVA', 0.8410284519195557)], [[[128.0, 537.0], [154.0, 537.0], [154.0, 549.0], [128.0, 549.0]], ('LOCAL', 0.9912670254707336)], [[[270.0, 537.0], [287.0, 537.0], [287.0, 549.0], [270.0, 549.0]], ('203', 0.7662744522094727)], [[[315.0, 537.0], [348.0, 537.0], [348.0, 551.0], [315.0, 551.0]], ('495.00', 0.9645989537239075)], [[[373.0, 538.0], [403.0, 538.0], [403.0, 552.0], [373.0, 552.0]], ('82.50', 0.9628536105155945)], [[[142.0, 643.0], [384.0, 646.0], [384.0, 660.0], [142.0, 657.0]], ("sur presantation du justificatif d'ochat original", 0.849885106086731)], [[[167.0, 653.0], [363.0, 657.0], [363.0, 671.0], [167.0, 667.0]], ("et de 1article dans son etat d'origtne.", 0.8547829985618591)], [[[186.0, 673.0], [336.0, 676.0], [335.0, 690.0], [185.0, 687.0]], ('Exchange ar Store Credit only', 0.9265780448913574)], [[[181.0, 703.0], [351.0, 706.0], [351.0, 720.0], [181.0, 717.0]], ('A11 Sale Marchandise 1s Fina Sale', 0.8519397974014282)], [[[235.0, 732.0], [296.0, 734.0], [296.0, 748.0], [235.0, 746.0]], ('Copie Client', 0.9319290518760681)]]	{"store_name": "BALENCIAGA", "store_addr": "Paris75001", "telephone": "+33176773700", "date": "16/9/17", "time": "17:19:55", "subtotal": "412.50 412.50", "tax": "82.50 82.50", "total": "495.00 495.00 495.00", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "MEN'SSHOES", "item_value": "", "item_quantity": ""}, {"item_key": "Article", "item_name": "", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[115.0, 10.0], [187.0, 10.0], [187.0, 24.0], [115.0, 24.0]], ('The Rose Club', 0.8714841604232788)], [[[92.0, 22.0], [210.0, 25.0], [209.0, 42.0], [92.0, 40.0]], ('23 0rchard StLondon', 0.9257577657699585)], [[[130.0, 41.0], [171.0, 41.0], [171.0, 56.0], [130.0, 56.0]], ('W1H 6HL', 0.860434353351593)], [[[140.0, 51.0], [169.0, 55.0], [167.0, 74.0], [138.0, 71.0]], ('0207', 0.7211386561393738)], [[[39.0, 83.0], [124.0, 86.0], [124.0, 103.0], [38.0, 101.0]], ('Server:Margaux', 0.9174689650535583)], [[[211.0, 87.0], [269.0, 87.0], [269.0, 104.0], [211.0, 104.0]], ('08/12/2011', 0.9594334363937378)], [[[40.0, 100.0], [97.0, 100.0], [97.0, 117.0], [40.0, 117.0]], ('Table 14/1', 0.950400173664093)], [[[228.0, 104.0], [269.0, 104.0], [269.0, 119.0], [228.0, 119.0]], ('2:58A', 0.889518141746521)], [[[39.0, 116.0], [98.0, 116.0], [98.0, 133.0], [39.0, 133.0]], ('Guests:10', 0.9493525624275208)], [[[239.0, 118.0], [269.0, 118.0], [269.0, 134.0], [239.0, 134.0]], ('40251', 0.9970890879631042)], [[[39.0, 146.0], [205.0, 148.0], [205.0, 164.0], [39.0, 162.0]], ('Ciroc Wethuselah 24 @1.850.00', 0.8989855051040649)], [[[216.0, 150.0], [269.0, 150.0], [269.0, 164.0], [216.0, 164.0]], ('44,400.00', 0.9311922788619995)], [[[38.0, 161.0], [211.0, 163.0], [211.0, 180.0], [38.0, 178.0]], ('Dom Perignon Rose Magnum 6 1', 0.8723000884056091)], [[[217.0, 165.0], [269.0, 165.0], [269.0, 179.0], [217.0, 179.0]], ('7200.00', 0.9835079312324524)], [[[41.0, 179.0], [144.0, 179.0], [144.0, 193.0], [41.0, 193.0]], ('Heineken 13 @5.00', 0.952990710735321)], [[[238.0, 180.0], [269.0, 180.0], [269.0, 196.0], [238.0, 196.0]], ('65.00', 0.9797115325927734)], [[[40.0, 195.0], [147.0, 195.0], [147.0, 209.0], [40.0, 209.0]], ('Fiji Water 6 @3.00)', 0.9045735597610474)], [[[239.0, 193.0], [270.0, 193.0], [270.0, 213.0], [239.0, 213.0]], ('18.00', 0.9440568685531616)], [[[41.0, 210.0], [147.0, 210.0], [147.0, 224.0], [41.0, 224.0]], ('Cigarettes 2 e9.00', 0.8968160152435303)], [[[239.0, 208.0], [270.0, 212.0], [268.0, 229.0], [238.0, 225.0]], ('16.00', 0.9924352765083313)], [[[39.0, 224.0], [210.0, 226.0], [210.0, 240.0], [39.0, 238.0]], ('Mahik Coconut Bottle 7 e160.0', 0.9046237468719482)], [[[221.0, 227.0], [269.0, 227.0], [269.0, 241.0], [221.0, 241.0]], ('1120.00', 0.9814425706863403)], [[[39.0, 238.0], [153.0, 239.0], [153.0, 257.0], [39.0, 256.0]], ('Cover 16 16 @16.00', 0.8938453197479248)], [[[232.0, 240.0], [270.0, 243.0], [269.0, 258.0], [231.0, 255.0]], ('225.00', 0.9222549796104431)], [[[39.0, 271.0], [85.0, 271.0], [85.0, 286.0], [39.0, 286.0]], ('Subtotal', 0.9939960241317749)], [[[216.0, 269.0], [271.0, 271.0], [270.0, 289.0], [215.0, 287.0]], ('53.044.00', 0.9307724833488464)], [[[39.0, 284.0], [61.0, 287.0], [59.0, 303.0], [37.0, 300.0]], ('Tax', 0.9874252676963806)], [[[244.0, 288.0], [271.0, 288.0], [271.0, 304.0], [244.0, 304.0]], ('0.00', 0.9717698097229004)], [[[40.0, 316.0], [69.0, 316.0], [69.0, 332.0], [40.0, 332.0]], ('Total', 0.996087372303009)], [[[216.0, 315.0], [271.0, 318.0], [270.0, 335.0], [215.0, 333.0]], ('53.044.00', 0.8958657383918762)], [[[39.0, 330.0], [155.0, 333.0], [155.0, 350.0], [38.0, 347.0]], ('Service Charge 15.004', 0.9316156506538391)], [[[221.0, 335.0], [270.0, 335.0], [270.0, 351.0], [221.0, 351.0]], ('7,966.60', 0.892370343208313)], [[[40.0, 348.0], [70.0, 348.0], [70.0, 364.0], [40.0, 364.0]], ('Total', 0.9967008829116821)], [[[217.0, 347.0], [271.0, 350.0], [270.0, 368.0], [216.0, 365.0]], ('61.000.60', 0.9222126007080078)], [[[39.0, 392.0], [65.0, 392.0], [65.0, 410.0], [39.0, 410.0]], ('AMEX', 0.9856199026107788)], [[[206.0, 394.0], [269.0, 394.0], [269.0, 411.0], [206.0, 411.0]], ('61,000.60', 0.8861846327781677)], [[[39.0, 408.0], [61.0, 408.0], [61.0, 426.0], [39.0, 426.0]], ('Tip', 0.9823949337005615)], [[[217.0, 410.0], [270.0, 410.0], [270.0, 428.0], [217.0, 428.0]], ('10,000.00', 0.951801598072052)], [[[39.0, 425.0], [70.0, 425.0], [70.0, 440.0], [39.0, 440.0]], ('Total', 0.993054211139679)], [[[217.0, 426.0], [270.0, 426.0], [270.0, 443.0], [217.0, 443.0]], ('71,000.60', 0.9414272308349609)], [[[39.0, 454.0], [101.0, 454.0], [101.0, 472.0], [39.0, 472.0]], ('Grand Total', 0.9686012864112854)], [[[216.0, 454.0], [269.0, 456.0], [268.0, 475.0], [215.0, 472.0]], ('71,000.60', 0.8595981597900391)], [[[38.0, 469.0], [160.0, 471.0], [160.0, 488.0], [38.0, 487.0]], ('Balance Due', 0.9681220650672913)], [[[200.0, 472.0], [269.0, 472.0], [269.0, 489.0], [200.0, 489.0]], ('0.00', 0.9954007863998413)], [[[104.0, 502.0], [199.0, 502.0], [199.0, 519.0], [104.0, 519.0]], ('Vat107717911', 0.9931075572967529)], [[[100.0, 534.0], [208.0, 534.0], [208.0, 548.0], [100.0, 548.0]], ('.Check Closed', 0.9288038015365601)]]	{"store_name": "TheRoseClub", "store_addr": "W1H6HL 23OrchardSt,London", "telephone": "", "date": "03/12/2011", "time": "2:58AM", "subtotal": "53,044.00", "tax": "0.00", "total": "71,000.60 71,000.60", "ignore": "", "tips": "7,956.60 10,000.00", "line_items": [{"item_key": "", "item_name": "Cover\u00a315", "item_value": "44,400.00", "item_quantity": "1"}, {"item_key": "", "item_name": "MahikiCoconutBottle", "item_value": "7,20.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Cigarettes", "item_value": "65.00", "item_quantity": "1"}, {"item_key": "", "item_name": "FijiWater", "item_value": "18.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Heineken", "item_value": "16.00", "item_quantity": "1"}, {"item_key": "", "item_name": "DomPerignonRoseMagnum", "item_value": "1,120.00", "item_quantity": "1"}, {"item_key": "", "item_name": "CirocMethuselah", "item_value": "225.00", "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	[[[[329.0, 52.0], [638.0, 19.0], [641.0, 52.0], [332.0, 84.0]], ('Austin Bergstrom', 0.9633753299713135)], [[[273.0, 100.0], [681.0, 63.0], [684.0, 97.0], [276.0, 133.0]], ('International Airport', 0.9801375865936279)], [[[403.0, 131.0], [548.0, 124.0], [550.0, 162.0], [405.0, 169.0]], ('Parking', 0.9962703585624695)], [[[937.0, 188.0], [981.0, 188.0], [981.0, 232.0], [937.0, 232.0]], ('41', 0.9972887635231018)], [[[18.0, 261.0], [404.0, 223.0], [408.0, 261.0], [22.0, 300.0]], ('Fee Computer Number', 0.9595332741737366)], [[[641.0, 264.0], [981.0, 248.0], [983.0, 285.0], [643.0, 302.0]], ('Rodriguez Id #183', 0.9458823204040527)], [[[19.0, 316.0], [172.0, 300.0], [177.0, 342.0], [24.0, 358.0]], ('Cashier:', 0.9864894151687622)], [[[865.0, 307.0], [989.0, 299.0], [992.0, 342.0], [867.0, 350.0]], ('169059', 0.997550904750824)], [[[27.0, 372.0], [392.0, 342.0], [395.0, 380.0], [30.0, 409.0]], ('Transaction Number:', 0.9316027760505676)], [[[670.0, 376.0], [988.0, 359.0], [990.0, 399.0], [672.0, 416.0]], ('10/25/2016 19:11', 0.9467540979385376)], [[[25.0, 426.0], [185.0, 413.0], [188.0, 455.0], [29.0, 468.0]], ('Entered:', 0.972054123878479)], [[[672.0, 435.0], [991.0, 415.0], [994.0, 456.0], [674.0, 476.0]], ('11/30/201611:01', 0.9835869669914246)], [[[29.0, 481.0], [173.0, 470.0], [176.0, 512.0], [32.0, 524.0]], ('Exited:', 0.9856701493263245)], [[[732.0, 488.0], [999.0, 472.0], [1001.0, 514.0], [735.0, 529.0]], ('Dispenser #20', 0.9789369106292725)], [[[39.0, 539.0], [293.0, 518.0], [296.0, 555.0], [42.0, 577.0]], ('Ticket #58732', 0.9767491817474365)], [[[875.0, 535.0], [1006.0, 527.0], [1009.0, 570.0], [878.0, 579.0]], ('Lot26', 0.9923233985900879)], [[[40.0, 590.0], [129.0, 583.0], [133.0, 628.0], [43.0, 634.0]], ('Lot:', 0.9695377349853516)], [[[882.0, 591.0], [1011.0, 583.0], [1013.0, 630.0], [884.0, 638.0]], ('Area 2', 0.9401234984397888)], [[[55.0, 646.0], [151.0, 640.0], [154.0, 680.0], [57.0, 686.0]], ('Area:', 0.983421802520752)], [[[825.0, 654.0], [1012.0, 644.0], [1014.0, 688.0], [827.0, 698.0]], ('Long Term', 0.9599499106407166)], [[[63.0, 696.0], [155.0, 696.0], [155.0, 736.0], [63.0, 736.0]], ('Rate:', 0.9854211807250977)], [[[846.0, 711.0], [1016.0, 700.0], [1020.0, 747.0], [849.0, 758.0]], ('$252.00', 0.9838768839836121)], [[[62.0, 751.0], [282.0, 743.0], [284.0, 783.0], [64.0, 792.0]], ('Parking Fee', 0.9785518050193787)], [[[851.0, 771.0], [1018.0, 759.0], [1021.0, 802.0], [854.0, 815.0]], ('$252.00', 0.9341260194778442)], [[[62.0, 805.0], [248.0, 800.0], [249.0, 843.0], [63.0, 847.0]], ('Total Fee:', 0.9322776794433594)], [[[853.0, 830.0], [1022.0, 814.0], [1026.0, 861.0], [858.0, 877.0]], ('$252.00', 0.9322299957275391)], [[[60.0, 863.0], [255.0, 857.0], [256.0, 899.0], [61.0, 905.0]], ('Mastercard', 0.9976651072502136)], [[[694.0, 887.0], [1027.0, 875.0], [1029.0, 919.0], [695.0, 931.0]], ('************2322', 0.9247744083404541)], [[[64.0, 919.0], [424.0, 914.0], [424.0, 951.0], [64.0, 956.0]], ('Credit Card Number', 0.9570000171661377)], [[[860.0, 944.0], [1030.0, 931.0], [1033.0, 978.0], [864.0, 991.0]], ('$252.00', 0.9745086431503296)], [[[64.0, 974.0], [269.0, 974.0], [269.0, 1015.0], [64.0, 1015.0]], ('Total Paid:', 0.9270837903022766)], [[[317.0, 1032.0], [745.0, 1018.0], [747.0, 1059.0], [318.0, 1073.0]], ('Thank You for Parking', 0.9535915851593018)], [[[451.0, 1087.0], [604.0, 1078.0], [607.0, 1124.0], [454.0, 1133.0]], ('At ABIA', 0.927660346031189)]]	{"store_name": "Parking InternationalAirport AustinBergstrom", "store_addr": "", "telephone": "", "date": "11/30/2016", "time": "11:01", "subtotal": "", "tax": "", "total": "$252.00 $252.00 $252.00", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "ParkingFee:", "item_value": "$252.00", "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], [73.0, 5.0], [73.0, 18.0], [25.0, 15.0]], ('LOUISIANA', 0.9811240434646606)], [[[25.0, 14.0], [53.0, 14.0], [53.0, 24.0], [25.0, 24.0]], ('70130', 0.9974691271781921)], [[[23.0, 30.0], [104.0, 30.0], [104.0, 43.0], [23.0, 43.0]], ('2014/09/2020:45', 0.9750744700431824)], [[[22.0, 40.0], [114.0, 40.0], [114.0, 53.0], [22.0, 53.0]], ('Pos02Shift2', 0.9421831369400024)], [[[130.0, 31.0], [164.0, 31.0], [164.0, 42.0], [130.0, 42.0]], ('207672', 0.9990167617797852)], [[[19.0, 56.0], [59.0, 59.0], [58.0, 73.0], [18.0, 70.0]], ('Product', 0.937950074672699)], [[[154.0, 61.0], [198.0, 61.0], [198.0, 74.0], [154.0, 74.0]], ('Total Tx', 0.8896422386169434)], [[[19.0, 78.0], [113.0, 80.0], [113.0, 93.0], [18.0, 91.0]], ('BUD LT 12ZCN12PK', 0.8797842264175415)], [[[61.0, 89.0], [114.0, 91.0], [114.0, 105.0], [60.0, 102.0]], ('80619', 0.7774168252944946)], [[[149.0, 82.0], [197.0, 82.0], [197.0, 93.0], [149.0, 93.0]], ('$95.40T', 0.9556859731674194)], [[[16.0, 98.0], [186.0, 101.0], [185.0, 114.0], [16.0, 111.0]], ('BEEM LA80 BUD FAM 12Z CN $45.45-', 0.8695851564407349)], [[[15.0, 117.0], [123.0, 120.0], [123.0, 134.0], [15.0, 131.0]], ('MICH ULT 12Z CN12PK', 0.9036446809768677)], [[[58.0, 109.0], [114.0, 112.0], [113.0, 123.0], [57.0, 120.0]], ('509.09', 0.9227530360221863)], [[[62.0, 128.0], [114.0, 130.0], [114.0, 144.0], [61.0, 141.0]], ('219.08', 0.9804670810699463)], [[[148.0, 121.0], [188.0, 121.0], [188.0, 135.0], [148.0, 135.0]], ('$38.16', 0.9645869135856628)], [[[13.0, 138.0], [139.0, 142.0], [138.0, 154.0], [13.0, 150.0]], ('BEEM LA80 MICH VAR 12PK', 0.9169928431510925)], [[[149.0, 140.0], [187.0, 143.0], [186.0, 157.0], [148.0, 154.0]], ('$10.18-', 0.9386745095252991)], [[[13.0, 159.0], [123.0, 161.0], [123.0, 175.0], [13.0, 173.0]], ('MICH ULT 12Z 24PKCN', 0.9184351563453674)], [[[58.0, 150.0], [113.0, 150.0], [113.0, 164.0], [58.0, 164.0]], ('-205.09', 0.8660922646522522)], [[[61.0, 170.0], [113.0, 172.0], [113.0, 186.0], [60.0, 183.0]], ('2038.16', 0.9394521713256836)], [[[148.0, 162.0], [188.0, 162.0], [188.0, 176.0], [148.0, 176.0]], ('$76.32', 0.9867283701896667)], [[[11.0, 182.0], [186.0, 183.0], [186.0, 196.0], [11.0, 195.0]], ('BEE 24PK MICH ULT 12Z CN $26.34-', 0.9280349612236023)], [[[57.0, 196.0], [111.0, 196.0], [111.0, 207.0], [57.0, 207.0]], ('-2013.17', 0.9404334425926208)], [[[15.0, 214.0], [57.0, 216.0], [56.0, 231.0], [14.0, 228.0]], ('S-Total', 0.9846421480178833)], [[[87.0, 217.0], [118.0, 217.0], [118.0, 230.0], [87.0, 230.0]], ('Taxes', 0.9916939735412598)], [[[153.0, 214.0], [184.0, 217.0], [183.0, 231.0], [152.0, 228.0]], ('Total', 0.9935308694839478)], [[[22.0, 229.0], [57.0, 229.0], [57.0, 239.0], [22.0, 239.0]], ('127.91', 0.9926693439483643)], [[[86.0, 228.0], [117.0, 228.0], [117.0, 241.0], [86.0, 241.0]], ('11.52', 0.9871072769165039)], [[[146.0, 229.0], [184.0, 229.0], [184.0, 240.0], [146.0, 240.0]], ('$139.43', 0.9887719750404358)]]	{"store_name": "", "store_addr": "70130", "telephone": "", "date": "2014/09/20", "time": "20:45", "subtotal": "127.91", "tax": "11.52", "total": "$139.43", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "BEE24PKMICHULT12ZCN", "item_value": "$26.34-", "item_quantity": "1"}, {"item_key": "", "item_name": "MICHULT12Z24PKCN", "item_value": "$76.32", "item_quantity": "1"}, {"item_key": "", "item_name": "BEEMLABOMICHVAR", "item_value": "$10.18-", "item_quantity": "1"}, {"item_key": "", "item_name": "MICHULT12ZCN12PK", "item_value": "$38.16", "item_quantity": "1"}, {"item_key": "", "item_name": "BEEMLA80BLDFAM12ZCN", "item_value": "$45.45-", "item_quantity": "1"}, {"item_key": "", "item_name": "BUDLT12ZCN12PK", "item_value": "$95.40", "item_quantity": "1"}, {"item_key": "Produot", "item_name": "", "item_value": "", "item_quantity": ""}]}