Tencent-Hunyuan/HunyuanOCR

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

1930 stars · 150 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

HunyuanOCR-1.5 is a lightweight end-to-end OCR vision-language model from Tencent, with a unified inference environment, llama.cpp PC-side deployment, and a verl-based reinforcement learning training stack. It also ships related benchmarks such as CHAOS-Bench for character-level hallucination probing.

Use cases

• extract text from images and scanned documents
• parse document layouts including tables
• run a fast lightweight OCR model on a PC
• translate text inside images
• benchmark OCR models for character-level hallucination
• fine-tune an OCR vision-language model with reinforcement learning

When to choose

• you need an open-source OCR VLM with document, table, and chart parsing
• you want lightweight on-device or PC-side OCR inference via llama.cpp
• you need a trainable OCR model with an RL training stack

When to avoid

• you only need simple Tesseract-style text extraction without a GPU or VLM
• you need a fully permissive license (license is custom/NOASSERTION)
• you cannot run GPU inference or large model weights

Facets

library · maturity active

ocr machine-learning llm-inference deep-learning computer-vision artificial-intelligence pdf python cross-platform vision-language-model document-parsing speculative-decoding llama.cpp reinforcement-learning tencent-hunyuan table-parsing benchmarks natural-language-processing gpu linux

Member repositories

For agents

markdown · JSON · MCP: product_card(name="Tencent-Hunyuan/HunyuanOCR")