Documents and OCRImage + text

UDOP

One model for every document task: reading, answering questions about a page, extracting fields, classification. In HR it is used to parse resumes and attached scans. A human makes the decision about a candidate; automatic screening without review must not be used.

The last open version came out in Feb 2024. The family has not been updated for a long time: the model still works, but do not expect fixes or new sizes.

Developer
Microsoft, USA
First release
Feb 2024
Latest release
Feb 2024
Sizes
742M
License
Commercial use allowedMIT
Russian
Not stated
Running
On your own serverAlso runs without a GPU
Industries
Documents and accounting, HR, Finance
Deploy on your server Hugging Face GitHub

What it does

  • Extracting fields from a resume and its attachments
  • Answering questions about document content
  • Classifying incoming documents

Where it is used

HR and recruitingDocument workflowsAccounting

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. udop-large-512-300k
  2. udop-large-512
  3. udop-large

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.

Frequently asked questions

Can UDOP 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 UDOP 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 UDOP support Russian?

The model card does not list languages, so Russian support cannot be promised — it has to be tested on your own examples.

Where can I download UDOP and what does it cost?

The UDOP 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.

Similar models

Text analysisLayoutLM (v1–v3, LayoutXLM)Microsoft · USACommercial use with conditions

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DetailsDocuments and OCRDonutNAVER CLOVA · South KoreaCommercial use allowed

Reads a scanned document and returns a filled-in field structure straight away, with no separate OCR step. In HR it is fine-tuned for parsing resumes and forms. A human makes the decision about a candidate; automatic screening without review must not be used.

DetailsDocuments and OCRLiLTSCUT DLVC Lab, South China University of Technology · ChinaCommercial use allowed

A light model that takes both the text and the position of blocks on the page into account: trained in one language and transferable to others. Good for tagging fields in resumes and forms. A human makes the decision about a candidate; automatic screening without review must not be used.

Details

Source: huggingface.co/microsoft/udop-large. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.