Documents and OCR

PaddleOCR-VL

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.

Developer
Baidu (PaddlePaddle), China
First release
Oct 2025
Latest release
May 2026
Sizes
0.9B
License
Commercial use allowedApache 2.0
Russian
Supported
Ready-made builds
GGUF, MLX (Apple)
Running
On your own serverAlso runs without 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 tables, formulas and stamps
  • Converting scans to Markdown and JSON
  • Running on an ordinary PC without a powerful GPU

Where it is used

AccountingDocument workflowLogisticsArchives

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. PaddleOCR-VL-1.6
  2. PaddleOCR-VL-1.5
  3. PaddleOCR-VL

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 PaddleOCR-VL be used in a commercial project?

Yes. License: Apache 2.0. It allows commercial use, but it is still worth having a lawyer review the license before launch.

What hardware does PaddleOCR-VL 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 PaddleOCR-VL support Russian?

Yes, Russian is listed on the model card.

Where can I download PaddleOCR-VL and what does it cost?

The PaddleOCR-VL 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.

Comparisons

Similar models

Documents and OCRGLM-OCRZhipu AI (Z.ai) · ChinaCommercial use allowed

A lightweight OCR model from Zhipu for document parsing. The model card lists Russian among supported languages; built for high load and low-end hardware.

DetailsDocuments and OCRMinerUShanghai AI Laboratory (OpenDataLab) · ChinaCommercial use allowed

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.

DetailsDocuments and OCRQianfan-OCRBaidu (Qianfan) · ChinaCommercial use allowed

A Baidu model that not only recognises a document but also answers questions about it. Per the model card it supports 192 languages, including Cyrillic.

Details

Source: huggingface.co/PaddlePaddle/PaddleOCR-VL-1.6. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.