olmOCR
Allen Institute for AIConverts PDFs and images to clean markdown/text using a 7B vision-language model, handling equations, tables, and handwriting. Emits Dolma-format documents; used in the Dolma 3 PDF-extraction path.
Feeds the Dolma 3 PDF-extraction path and ships its own olmOCR-Bench suite. Verified 2026-08-13 via the GitHub README and the LICENSE body.
Openness
5 high confidence- license
- Apache-2.0(OSI)
- source
- public(allenai/olmocr)
- governance
- Allen Institute for AI
- core-gated
- ungated
Fully OSI-licensed (Apache-2.0), full source public.
- https://github.com/allenai/olmocr/blob/main/LICENSE recorded 2026-08-13
Apache License Version 2.0 text
- https://raw.githubusercontent.com/allenai/olmocr/main/README.md recorded 2026-08-13
README documents the whole pipeline building and installing from the published repo; no paid tier, enterprise edition or license key appears anywhere in it, so nothing is withheld from the source
Adoption
2 high confidence22,925 PyPI downloads in the trailing 30 days for olmocr, which bands at 10K-100K, level 2 on the software and model adoption scale.
- https://pypistats.org/api/packages/olmocr/recent recorded 2026-08-13
22,925 downloads in the trailing 30 days for olmocr
Capability
4 high confidenceBenchmark-anchored: olmOCR scores near the top of olmOCR-Bench, the benchmark the project publishes itself, ahead of Marker, MinerU and Mistral OCR but now behind Chandra OCR and Infinity-Parser; on the third-party OmniDocBench it sits mid-pack. Near-SOTA rather than SOTA, and a snapshot at that, because extraction leaderboards move.
- https://raw.githubusercontent.com/allenai/olmocr/main/README.md recorded 2026-08-13
olmOCR-Bench table in the README - olmOCR v0.4.0 scores 82.4, ahead of Marker 1.10.1 76.1, MinerU 2.5.4 75.2 and Mistral OCR 72.0, but now behind Chandra OCR 0.1.0 83.1 and Infinity-Parser 7B 82.5. GPT-4o has been dropped from the table.
- https://raw.githubusercontent.com/opendatalab/OmniDocBench/main/README.md recorded 2026-08-13
OmniDocBench leaderboard - olmOCR 85.74 overall, mid-pack behind MinerU-2.5 93.04, Gemini 3 Pro 92.91 and GPT-5.2 86.59, and level with Mistral OCR 85.66
Verified 2026-08-13