Documents and OCR

Chandra OCR

A strong OCR model from the authors of Marker and Surya: handwriting, forms, tables. Per the model card it supports 90+ languages, with Russian among the examples.

Developer
Datalab, USA
First release
Oct 2025
Latest release
Mar 2026
Sizes
5B – 9B
License
Commercial use with conditionsModified OpenRAIL-M: free for research and for companies with revenue and funding up to 2 million dollars, no competing with their API; everyone else needs a paid license
Russian
Supported
Ready-made builds
GGUF
Running
On your own serverNeeds a GPU
Industries
Documents and accounting, Finance, Legal
Deploy on your server Hugging Face GitHub

What it does

  • Recognising invoices, contracts and delivery notes, including in Russian
  • Recognising handwritten forms and questionnaires
  • Recognising complex tables

Where it is used

Document workflowAccountingInsurance and banking

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
fits
ClusterServer with several GPUs — flagship versions
no versions

Versions

  1. Chandra OCR 2
  2. Chandra

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 Chandra OCR be used in a commercial project?

With conditions. License: Modified OpenRAIL-M: free for research and for companies with revenue and funding up to 2 million dollars, no competing with their API; everyone else needs a paid license. Restrictions vary — region, company revenue, attribution requirements. Have a lawyer check the terms before a commercial launch.

What hardware does Chandra 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 Chandra OCR support Russian?

Yes, Russian is listed on the model card.

Where can I download Chandra OCR and what does it cost?

The Chandra 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

  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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Details

Source: huggingface.co/datalab-to/chandra-ocr-2. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.