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VisionAllen Institute for AI

olmOCR

Open-source OCR that converts PDFs and scans into clean, structured text.

Categories
VisionData Ops
Pricing
FREE
Hosting
Self-host
Platforms
CLIAPIWeb
Models
Self-contained (on-device)
Verified
Jun 19, 2026

olmOCR is an open-source toolkit from the Allen Institute for AI that turns PDFs and document images into clean, reading-order plain text, preserving tables, equations, and handwriting. It runs a fine-tuned 7B vision-language model with a document-anchoring prompting technique, and is built for cheap, dataset-scale conversion for LLM training and retrieval. Released with model weights, training data, and inference code; runs on your own GPUs or via third-party inference providers.

Pros & cons

  • Fully open source (Apache 2.0)
  • Strong accuracy on complex layouts
  • Very low cost to run at scale
  • Handles tables, equations, handwriting
  • Self-hostable, data stays on your infra
  • Requires a capable GPU to self-host
  • Not a turnkey hosted product
  • Built for batch, dataset-scale workflows

Tags

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    • document-parsing
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    • document-ai
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