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Model · OpenDataLab · Vision

MinerU

An open-source tool that wraps document-parsing models to turn PDFs, scans, Word and PowerPoint files into clean Markdown or JSON, keeping tables, formulas and reading order. Version 4.0 adds a local document library and agent-friendly reading with stable page and block citations.

Modality
Vision
License
MinerU Open Source License (Open weights)
Parameter size
Parsing model MinerU2.5-Pro-2605-1.2B (1.2B), plus small layout and OCR models
Released
September 16, 2026
Last verified
October 28, 2026
Runs locally
Yes

What you need to run it

Mac
Yes. Any Apple Silicon Mac (M1 or newer) with at least 8 GB (16 GB recommended) of memory. Newer chips are faster, but memory is what decides whether it runs.
Windows / Linux PC
NVIDIA works best. A graphics card with at least 4 GB (8 GB recommended) of video memory.
No graphics card
Works. Runs on a normal computer's processor, just slower.

The default install works on Apple Silicon and on a plain CPU; an NVIDIA card is only needed for the fastest vLLM mode.

Numbers are for: basic tier (small models, 8 GB RAM) minimum; standard tier (PyTorch + llama.cpp, 16 GB RAM, 8 GB+ GPU or Apple MPS) recommended. Based on the maker’s own figures; where the maker gives only a graphics-card figure, the Mac memory is our estimate.

Strengths

  • Runs on a CPU-only laptop out of the box (ONNX and llama.cpp); an NVIDIA GPU with 8 GB+ VRAM speeds it up
  • Keeps tables, formulas and reading order, with nine output formats including Markdown, HTML, LaTeX and DOCX
  • Handles PDFs, scanned images, Word and PowerPoint files
  • Built for agents and search pipelines: page and block locators let you cite exactly where text came from
  • The parsing model itself is Apache 2.0 on Hugging Face

Weaknesses

  • Apache 2.0 plus extra terms (MinerU Open Source License): above 100M monthly active users or $20M monthly revenue you need a separate commercial licence
  • If you offer an online service built on MinerU, you must say clearly in the product or its public docs that it uses MinerU
  • Fast-moving project — twelve 4.0.x patch releases in under a month

Try it

WhereTypeNotes
GitHub local pip / uv install; CPU or GPU
Hugging Face weights Parsing model, Apache 2.0

Change log

  • — Added hardware requirements (Mac support, memory, NVIDIA). Source: model card / docs (https://github.com/opendatalab/MinerU (README hardware tier table)).
  • — Initial entry. MinerU 4.0.0 released 2026-09-16 (GitHub release); latest is 4.0.12 (2026-10-11). Licence is the MinerU Open Source License — Apache 2.0 with a commercial-licence threshold and an attribution rule for online services. Added 2026-10-28 from the popularity sweep: 82.7k GitHub stars; the parsing model had 204k Hugging Face downloads in the last month.