zzzDavid/ICDAR-2019-SROIE
ICDAR 2019 Robust Reading Challenge on Scanned Receipts OCR and Information Extraction
This project helps accounting, finance, and operations professionals automate data entry from scanned receipts. It takes scanned images of receipts as input and accurately extracts key information like company name, address, date, and total amount, outputting this data in a structured JSON format. This streamlines document processing and reduces manual effort for tasks such as expense reporting or transaction reconciliation.
411 stars. No commits in the last 6 months.
Use this if you need to automatically extract specific text fields from large volumes of scanned receipt images to populate databases or other financial systems.
Not ideal if you are working with complex, unstructured documents beyond simple receipts or require 100% perfect accuracy for every single field without any human review.
Stars
411
Forks
141
Language
Python
License
MIT
Category
Last pushed
Jul 20, 2020
Commits (30d)
0
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