ZumingHuang / awesome-ocr-resources
A collection of resources (including the papers and datasets) of OCR (Optical Character Recognition).
Why this job: name: awesome; topics: awesome
What it does
A structured and human-curated collection of OCR and Document AI resources. Automation discovers and validates candidates; maintainers review every resource before publication.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit today
- Stars
- 442
- On GitHub
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Python
- 98% of the code
Is it looked after?
- Contributors
- 3
- Last 90 days
- Issues
- 0% closed
- 3 still open
- Pull requests
- 77 merged
- 2 waiting
- Releases
- None
- Never published
- Contributing guide (opens in new tab)
- Security policy (opens in new tab)
- No code of conduct
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More: languages, topics and project record
Languages
- Python 98%
- Jinja 2%
Topics
- ocr
- text-detection
- text-recognition
- text-segmentation
- end-to-end-ocr
- machine-learning
- deep-learning
- computer-vision
- video-ocr
- awesome
Project record
- JobLists and guides
- StatusListed
- Commits286
- Forks74
- Watching30
- Stars in 28 days+2
- CreatedMay 21, 2018
- First seen by usNov 7, 2026
- CheckedNov 9, 2026