Documents and OCR

MinerU

A popular open tool for converting PDFs to Markdown with its own small model. MinerU2.5-Pro was improved through data alone, without growing in size. Languages on the card: Chinese and English.

Developer
Shanghai AI Laboratory (OpenDataLab), China
First release
Jun 2025
Latest release
May 2026
Sizes
0.9B – 1.2B
License
Commercial use allowedMinerU2.5-Pro: Apache 2.0; the first MinerU2.5: AGPL 3.0
Russian
Not supported
Ready-made builds
GGUF
Running
On your own serverAlso runs without a GPU
Industries
Documents and accounting, Science and research, Legal
Deploy on your server Hugging Face GitHub

What it does

  • Converting PDF reports and contracts to Markdown
  • Recognising tables and formulas
  • Preparing documents for RAG and search

Where it is used

Document workflowInternal knowledge basesAnalytics

Hardware requirements

LaptopLaptop or regular PC, up to 8 GB of VRAM — smaller versions
fits
1 GPUOne GPU with 16–80 GB — mid-size versions
no versions
ClusterServer with several GPUs — flagship versions
no versions

Versions

  1. MinerU2.5-Pro-2605
  2. MinerU2.5-Pro-2604
  3. MinerU2.5-2509-1.2B
  4. MinerU2.0-2505-0.9B

How to run it

On your own serverWeights are downloaded from Hugging Face and served with vLLM (load and API) or llama.cpp (modest hardware). The model then runs in a closed network with no per-request fees.Hugging Face
How much hardware you needCalculate the VRAM for the model size, context length and number of concurrent requests.Open the hardware calculator

I can set this up end to end: pick the model size, deploy it on your server and connect it to your systems. Quantization compresses a model so it takes less video memory and runs on more modest hardware. Answers change slightly, so quality is checked on your own examples.

Frequently asked questions

Can MinerU be used in a commercial project?

Yes. License: MinerU2.5-Pro: Apache 2.0; the first MinerU2.5: AGPL 3.0. It allows commercial use, but it is still worth having a lawyer review the license before launch.

What hardware does MinerU need?

At minimum: Laptop or regular PC, up to 8 GB of VRAM — smaller versions. Some versions also run on an ordinary CPU, without a GPU. You can calculate the exact VRAM for your model size and context in the hardware calculator.

Does MinerU support Russian?

No. The model card lists its languages and Russian is not among them.

Where can I download MinerU and what does it cost?

The MinerU weights are open and free to download. You only pay for the hardware it runs on and for the setup. Source links are at the bottom of this page.

How I deploy it for clients

  1. SelectionI pick the model size for your task and hardware and test it on your examples.
  2. DeploymentI deploy it on your server or in a closed network and provide an API.
  3. Fine-tuningI fine-tune it on your data (LoRA) or connect a knowledge base — whichever is cheaper for the task.
  4. IntegrationI connect it to your CRM, ERP, bot, website or team chat and set up monitoring.

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DetailsDocuments and OCRSmolDocling и Granite-DoclingIBM and Hugging Face · USACommercial use allowed

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Details

Source: huggingface.co/opendatalab/MinerU2.5-Pro-2605-1.2B. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.