olmocr

核心特点

• •Convert PDF, PNG, and JPEG based documents into clean Markdown
• •Support for equations, tables, handwriting, and complex formatting
• •Automatically removes headers and footers
• •Convert into text with a natural reading order, even in the presence of
• •Efficient, less than $200 USD per million pages converted
• •(Based on a 7B parameter VLM, so it requires a GPU)
• •October 21, 2025 - v0.4.0 - New model release, boosts olmOCR-bench score by ~4 points using synthetic data and introduces RL training.
• •August 13, 2025 - v0.3.0 - New model release, fixes auto-rotation detection, and hallucinations on blank documents.
• •July 23, 2025 - v0.2.0 - New cleaned up trainer code, makes it much simpler to train olmOCR models yourself.
• •June 17, 2025 - v0.1.75 - Switch from sglang to vllm based inference pipeline, updated docker image to CUDA 12.8.