tencent/HunyuanOCR
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.
api_example.sh
Technical Specifications
Model Architecture & Performance
Pricing
Pay-per-use, no commitments
API Reference
Complete parameter documentation
| Parameter | Type | Default | Description |
|---|---|---|---|
| stream | boolean | true | Enable streaming responses for real-time output. |
| language | select | en | Optional language hint to improve OCR accuracy for specific languages. |
| ocr_mode | select | general | Select optimized OCR mode based on the image type. |
| max_tokens | number | 4096 | Maximum number of tokens for the generated text. |
| temperature | number | 0 | Controls randomness. Keep at 0 for accurate text extraction. |
Explore the full request and response schema in our external API documentation
Resources
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Performance
Strengths & considerations
| Strengths | Considerations |
|---|---|
| Lightweight (1B parameters) with SOTA performance Native support for high-resolution & extreme aspect ratios Unified end-to-end architecture (no separate detection box errors) Exceptional handling of rotated and vertical text Strong multilingual support (English, Chinese, and mixed scripts) | Purely OCR-focused; not intended for general visual QA May hallucinate on extremely blurred low-resolution text Output speed is dependent on visual token density |
Use cases
Recommended applications for this model
Enterprise
Platform Integration
Docker Support
Official Docker images for containerized deployments
Kubernetes Ready
Production-grade KBS manifests and Helm charts
SDK Libraries
Official SDKs for Python, Javascript, Go, and Java
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