OCR Resources

A structured and human-curated collection of OCR and Document AI resources. Automation discovers and validates candidates; maintainers review every resource before publication.

中文说明

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.