willywongi/donut

Extract structured data from receipt images using Donut 🍩 (Document Understanding Transformer)
Prediction
willywongi/donut:6bdf3a5790f9cdf491e995a659563c3dcbe94d929e89216486e8fe3f909f4716IDytvl7b2bgncx7bzj2k7cm2e3i4StatusSucceededSourceWebHardware–Total durationCreatedOutput
{'menu': [{'nm': '0571-1854 BLUS WANITA', 'unitprice': '@120,000', 'cnt': '1', 'price': '120,000'}, {'nm': '1002-0060 SHOPPING BAG', 'cnt': '1', 'price': '0'}], 'total': {'total_price': '120,000', 'changeprice': '0', 'creditcardprice': '120,000', 'menuqty_cnt': '1'}}Prediction
willywongi/donut:6bdf3a5790f9cdf491e995a659563c3dcbe94d929e89216486e8fe3f909f4716Output
{'menu': [{'nm': 'ICE BLAOKCOFFE', 'cnt': '2', 'price': '82,000'}, {'nm': 'AVOCADO COFFEE', 'cnt': '1', 'price': '61,000'}, {'nm': 'Oud CHINEN KATSU FF', 'cnt': '1', 'price': '51,000'}], 'sub_total': {'subtotal_price': '194,000', 'discount_price': '19,400'}, 'total': {'total_price': '174,600', 'cashprice': '200,000', 'changeprice': '25,400'}}
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