NjoyimPeguy/ICDAR-2019-RRC-SROIE
ICDAR 2019 Robust Reading Challenge on Scanned Receipts OCR and Information Extraction
This project helps finance and accounting professionals streamline document processing by automatically extracting key information from scanned receipts and invoices. It takes images of receipts as input and outputs structured data like company name, address, date, and total amount, significantly reducing manual data entry. It is designed for researchers and practitioners working on document automation.
No commits in the last 6 months.
Use this if you need to extract specific fields like company, total, and date from a large volume of scanned receipts for financial record-keeping or data analysis.
Not ideal if you need to process highly unstructured documents or documents in languages other than English, or if you require an off-the-shelf, plug-and-play solution without any technical setup.
Stars
33
Forks
10
Language
Python
License
GPL-3.0
Category
Last pushed
Jul 20, 2022
Commits (30d)
0
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