ZumingHuang/awesome-ocr-resources
ZumingHuang/awesome-ocr-resources has 442 GitHub stars and 74 forks. GitHot measured 0 stars in 24 hours, 0 in 7 days, and +1 in 15 days. Last checked 2026-11-09 18:43 UTC. Last push 2026-11-02.
A collection of resources (including the papers and datasets) of OCR (Optical Character Recognition).
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README.md
OriginalOCR Resources
A structured and human-curated collection of OCR and Document AI resources. Automation discovers and validates candidates; maintainers review every resource before publication.
Resources
| Category | Count | Description |
|---|---|---|
| Papers | 342 | Research on OCR, document parsing, layout analysis, and document understanding |
| Models | 988 | Public model cards, weights, APIs, and official model releases |
| Datasets | 484 | Training datasets and evaluation benchmarks |
| Codes | 171 | Notable OCR and Document AI codebases |
| Skills | 297 | Installable agent skills for OCR and document workflows |
| Platforms | 1 | Domestic and international OCR platforms and services |
Latest Updates
- 2026-11-01
- 2026-10-31
- 2026-10-30
- 2026-10-29
- 2026-10-28
- 2026-10-27
- 2026-10-26
- 2026-10-25
- 2026-10-23
- 2026-10-22
Maintenance
- YAML files under
data/are the source of truth. - Markdown lists are generated; do not edit them directly.
- Discovery runs daily with a seven-day lookback and opens a Draft PR for human review.
- Link and metadata health are audited weekly.
See CONTRIBUTING.md and CURATION.md before submitting a resource.
Related Lists
- HCIILAB Scene-Text-Detection
- HCIILAB Scene-Text-Recognition
- Awesome OCR
- Awesome Scene Text Recognition
License
Metadata and editorial content are dedicated to the public domain under CC0-1.0. Maintenance code is licensed under MIT. Third-party resources retain their own licenses.
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