OLMo

Health v2 · maintenance only

Adoption not part of the score

6648 stars · 794 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

olmOCR is an open toolkit from Ai2 that converts PDFs and image-based documents into clean, reading-order Markdown using a fine-tuned 7B vision-language model, designed for building LLM training datasets. It is part of the broader fully open OLMo ecosystem, which includes open language models, training code, and the Dolma pretraining corpus.

Use cases

• convert pdfs to markdown for llm training data
• ocr scanned documents with a vision language model
• extract text from multi-column pdfs in reading order
• linearize pdfs into plain text for model pretraining
• process millions of documents cheaply with gpu ocr
• benchmark ocr quality on pdfs with tables and equations
• fine-tune my own document parsing model

When to choose

• you need high-quality, reading-order text extraction from PDFs or scanned images at scale
• you are building open LLM training corpora and need fully open tooling and models
• you have GPU capacity and want low per-page conversion costs
• you need handling of equations, tables, handwriting, and complex layouts

When to avoid

• you need OCR on CPU-only machines or without a GPU
• you need a lightweight, non-ML OCR solution for simple text PDFs
• you need a hosted SaaS with a GUI rather than a self-run pipeline
• your documents are natively digital PDFs where simple text extraction suffices

Facets

library · maturity active

ocr pdf machine-learning llm-training data-generation image-processing artificial-intelligence large-language-models pdf deep-learning python cli pdf-to-markdown vision-language-model document-parsing llm-datasets open-models allenai olmo-family natural-language-processing data-engineering linux gpu docker

Member repositories

For agents

markdown · JSON · MCP: product_card(name="allenai/OLMo")