allenai/olmocr
Toolkit for linearizing PDFs for LLM datasets/training
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SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.
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Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
Ranks #25 among LLM repositories tracked this week, and #25 over the last 30 days; #533 of 3,103 repositories GStars tracks this week (top 17%).
No releases in the last 90 days; the most recent was 224 days ago, with 15 contributors on GitHub.
Peaked at #5 in the weekly ranking the week of Oct 26, its best in the past year.
Use Cases & Benefits
- Converts PDFs and image-based documents into clean, readable plain text and Markdown with preserved natural reading order.
- Delivers high accuracy on complex layouts including equations, tables, multi-column text, and handwriting using a 7B parameter vision-language model.
- Use for preparing large-scale, high-quality text datasets from scientific papers and technical PDFs for language model training.
- Use for automating extraction of structured content like tables and formulas from scanned documents in research or academic workflows.
- Use for scalable batch processing of millions of PDFs in cloud or cluster environments with AWS S3 and Beaker integration.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
Apache 2.0
Permissive: commercial use, modification and redistribution are allowed with attribution; includes an explicit patent grant from contributors.
Community files
- README: present
- Contributing guide: present
Watch-outs
- No commits in the last six months (last push Mar 2026).
General guidance from repository metadata, not legal advice. How we score
From the README
A toolkit for converting PDFs and other image-based document formats into clean, readable, plain text format.
Try the online demo: https://olmocr.allenai.org/
olmOCR-Bench: We also ship a comprehensive benchmark suite covering over 7,000 test cases across 1,400 documents to help measure performance of OCR systems.
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
+546 stars over 83 days across 8 snapshot days; best day +1 on Oct 8.
Forks
1.7K+67
Open issues
92+5
Compared with peers in LLM
Fastest-growing repositories GStars tracks in this cohort for the week of Oct 18, by 7-day star growth
| Repository | Stars | +7d | Health | Last release |
|---|---|---|---|---|
| DietrichGebert/ponytail | 175.5K | +9.9K | 75 | 8 days ago |
| xerj-org/xerj | 15.3K | +7.8K | 75 | today |
| affaan-m/ECC | 288.1K | +6.4K | 75 | 23 days ago |
| tashfeenahmed/freellmapi | 41.0K | +4.1K | 75 | 1 day ago |
| JuliusBrussee/caveman | 114.8K | +2.2K | 75 | 1 day ago |
| allenai/olmocr | 19.8K | +0 | 75 | 224 days ago |
| Category median | 114.8K | +6.4K | 75 | — |
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