About Hunyuan OCR

Hunyuan OCR is an end-to-end OCR expert vision-language model developed by Tencent Hunyuan. Built on a native multimodal architecture with 1 billion parameters, it achieves state-of-the-art results across multiple OCR tasks and benchmarks.

What is Hunyuan OCR?

Hunyuan OCR combines detection, recognition, parsing, translation, and information extraction into a single unified pipeline. This end-to-end approach eliminates the need for separate models or complex preprocessing steps, making it simpler to deploy and more efficient to run.

The model demonstrates strong performance in text spotting, complex document parsing, open-field information extraction, subtitle extraction, and image translation. It handles multilingual content and complex document layouts with accuracy that matches or exceeds larger models.

Key Features

• End-to-End Pipeline: Combines detection, recognition, parsing, and translation in one model
• Lightweight Architecture: 1 billion parameters achieve state-of-the-art results
• Multilingual Support: Handles multiple languages and multilingual documents
• Complex Document Parsing: Excels at parsing documents with tables, formulas, and structured layouts
• Multiple Deployment Options: Supports both vLLM and Transformers inference paths
• Open Source: Available as an open source model for use and modification

Technical Architecture

Hunyuan OCR uses a native multimodal architecture designed specifically for vision-language tasks. The 1 billion parameter model processes both visual and textual information through a unified architecture that understands the relationship between images and text.

The model supports multiple inference paths. The vLLM path provides optimized throughput and latency for production deployments. The Transformers path offers flexibility for custom operations and research applications. Both paths support the same model weights and produce consistent results.

Performance

Hunyuan OCR demonstrates strong performance across multiple OCR benchmarks. On complex document parsing tasks including business cards, receipts, and video subtitles, the model achieves accuracy rates above 90 percent. It outperforms many larger general-purpose vision-language models on OCR-specific tasks.

The model performs well on image translation tasks, converting text in images from one language to another while preserving document structure and formatting. Translation accuracy varies by language pair, with strong performance on common combinations.

Use Cases

Hunyuan OCR is designed for a wide range of applications:

• Document Digitization: Convert paper documents into searchable digital formats
• Invoice Processing: Extract structured data from invoices and receipts
• ID and Form Recognition: Process identification documents and application forms
• Multilingual Translation: Translate text in images and documents between languages
• Subtitle Extraction: Extract and process subtitles from video frames
• Content Management: Extract and organize information from documents for search and categorization

Development and Availability

Hunyuan OCR is developed by Tencent Hunyuan and is available as an open source model. The model can be accessed through Hugging Face and supports both vLLM and Transformers deployment paths.

The open source nature enables transparency, community contributions, and customization for specific use cases. Developers can use, modify, and deploy the model according to their needs.