HunyuanOCR

HunyuanOCR

v1
Model IDtencent-hunyuan-ocr

Released in late 2025, HunyuanOCR is an open-source contribution from Tencent that outperforms many larger proprietary models. It utilizes a "Global-to-Local" architecture with a SigLIP-v2 visual encoder to handle high-resolution inputs and extreme aspect ratios (like long receipts) without splitting images artificially.

16K Tokens ContextFast InferenceCodingFunction CallingMultilingual

See detailed pricing in docs

from openai import OpenAI # Initialize the OpenAI client with Qubrid base URL client = OpenAI( base_url="https://platform.qubrid.com/v1", api_key="QUBRID_API_KEY", ) stream = client.chat.completions.create( model="tencent/HunyuanOCR", messages=[ { "role": "user", "content": [ { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ], max_tokens=4096, temperature=0, stream=True, extra_body={ "language": "en", "ocr_mode": "general", } ) for chunk in stream: if chunk.choices and chunk.choices[0].delta.content: print(chunk.choices[0].delta.content, end="", flush=True) print("\n")

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