Youtu-Parsing-Omni
One compact model turns a document page, chart, flowchart, geometry figure, audio or video into structured JSON: with block coordinates, tables, formulas, speech transcription and timestamps.
- Developer
- Tencent, China
- First release
- Oct 2026
- Latest release
- Oct 2026
- Sizes
- 5B
- License
- Commercial use with conditionsTencent's own license; the text states explicitly that the model is not intended for use within the European Union
- Russian
- Not stated
- Running
- On your own serverNeeds a GPU
- Industries
- Documents and accounting, Finance, Media and production, Education
What it does
- parsing scans and PDFs with tables and formulas
- turning charts and flowcharts into a table or diagram
- transcribing audio and video with timestamps
- describing scenes in video
Where it is used
Hardware requirements
Versions
- Youtu-Parsing-Omni 5B
- Youtu-Parsing (2,5B)
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.
Frequently asked questions
Can Youtu-Parsing-Omni be used in a commercial project?
With conditions. License: Tencent's own license; the text states explicitly that the model is not intended for use within the European Union. Restrictions vary — region, company revenue, attribution requirements. Have a lawyer check the terms before a commercial launch.
What hardware does Youtu-Parsing-Omni need?
At minimum: One GPU with 16–80 GB — mid-size 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 Youtu-Parsing-Omni 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 Youtu-Parsing-Omni and what does it cost?
The Youtu-Parsing-Omni 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.
Similar models
Tiny models for the open Docling document converter: they turn a page into markup with tables, formulas and code. Run on an ordinary laptop.
DetailsDocuments and OCRLightOnOCRLightOn · FranceCommercial use allowedA French OCR model that converts a page into text in one pass and is fast on high volumes. The third generation (0.8B, 1B, 4B) also returns block coordinates, image descriptions and chart data as a table. Languages on the version 2 card: European languages, Chinese and Japanese; no Russian.
DetailsDocuments and OCRHunyuanOCRTencent · ChinaCommercial use with conditionsA lightweight OCR model from Tencent: document parsing, finding text in photos, field extraction and translating text from images. Version 1.5 is faster and runs on an ordinary PC.
DetailsSource: huggingface.co/tencent/Youtu-Parsing-Omni. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.


