Who will find Receipt Digitization useful? Need a robust receipt OCR or receipt scanner to extract data from receipts? Check out Nanonets receipt OCR API! They play critical roles in streamlining document-intensive processes and office automation in many financial, accounting and taxation areas. Receipt digitization addresses the challenge of automatically extracting information from a receipt.Įxtracting key information from receipts and converting them to structured documents can serve many applications and services, such as efficient archiving, fast indexing and document analytics. Traditionally this has been achieved by manually extracting the relevant information and inputting it into a database which is a labor-intensive and expensive process. In order to manage this information effectively, companies extract and store the relevant information contained in these documents. Receipts carry the information needed for trade to occur between companies and much of it is on paper or in semi-structured formats such as PDFs and images of paper/hard copies. I also review a few important papers that do Receipt Digitization using Deep Learning. In this article, I cover the theory behind receipt digitization and implement an end-to-end pipeline using OpenCV and Tesseract.
Receipt OCR or receipt digitization addresses the challenge of automatically extracting information from a receipt.
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