dots.ocr
A multilingual document parsing model: text, tables, formulas and reading order in one pass. dots.mocr also turns charts and diagrams into vector SVG.
- Developer
- rednote hilab (Xiaohongshu), China
- First release
- Jul 2025
- Latest release
- Mar 2026
- Sizes
- about 3B
- License
- Commercial use allowedMIT
- Russian
- Supported
- Ready-made builds
- GGUF
- Running
- On your own serverNeeds a GPU
- Industries
- Documents and accounting, Finance
What it does
- Recognising invoices, contracts and delivery notes
- Converting tables into an editable format
- Converting charts and diagrams into vector format
- Preparing documents for RAG
Where it is used
Hardware requirements
Versions
- dots.mocr и dots.mocr-svg
- dots.ocr
How to run it
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 dots.ocr be used in a commercial project?
Yes. License: MIT. It allows commercial use, but it is still worth having a lawyer review the license before launch.
What hardware does dots.ocr need?
At minimum: Laptop or regular PC, up to 8 GB of VRAM — smaller versions. Without a GPU the model is not practical. You can calculate the exact VRAM for your model size and context in the hardware calculator.
Does dots.ocr support Russian?
Yes, Russian is listed on the model card.
Where can I download dots.ocr and what does it cost?
The dots.ocr 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
- SelectionI pick the model size for your task and hardware and test it on your examples.
- DeploymentI deploy it on your server or in a closed network and provide an API.
- Fine-tuningI fine-tune it on your data (LoRA) or connect a knowledge base — whichever is cheaper for the task.
- IntegrationI connect it to your CRM, ERP, bot, website or team chat and set up monitoring.
Comparisons
Similar models
A compact document parsing model from the popular PaddleOCR toolkit. Per the model card it supports 109 languages, including Russian; version 1.6 leads the OmniDocBench benchmark.
DetailsDocuments and OCRMinerUShanghai AI Laboratory (OpenDataLab) · ChinaCommercial use allowedA 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.
DetailsDocuments and OCRDeepSeek-OCRDeepSeek · ChinaCommercial use allowedAn OCR model that compresses a page into a small number of visual tokens, so it processes large volumes quickly. Version 2 better understands reading order.
DetailsSource: huggingface.co/dots-studio/dots.mocr. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.


