chawla201/Custom-Named-Entity-Recognition
NLP | NER | SpaCy
This helps automate extracting key details from scanned receipts and invoices. You provide images of receipts, and it outputs structured data (like JSON) containing important fields such as company name, date, address, and total amount. This is designed for businesses or individuals who need to efficiently digitize and categorize information from large volumes of physical receipts for archiving, analysis, or expense tracking.
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Use this if you need to automatically pull specific pieces of information from scanned receipts and invoices into a structured, searchable format.
Not ideal if you're dealing with very poor quality scans or documents that deviate significantly from typical receipt layouts, as its performance relies on recognizable text and structure.
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Last pushed
Jan 03, 2021
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