Redefine OCR with DeepSeek-OCR
Explore DeepSeek-OCR, your ultimate tool for high-fidelity text extraction and seamless document processing.
Why DeepSeek-OCR ?
DeepSeek-OCR is a powerful OCR solution that provides high-precision text extraction, intelligent document conversion, and cross-platform compatibility, empowering developers and businesses with robust document processing capabilities.
High-Precision Text Extraction
Leveraging advanced visual-text compression technology, DeepSeek-OCR extracts high-accuracy text from complex background images, maintaining excellent performance even in low-resolution or noisy environments.
Flexible Size Adaptation
Supports Tiny, Small, Base, Large, and Gundam modes, allowing users to adjust base_size and image_size (e.g., 1024x640) based on task needs, catering to diverse scenarios from simple barcodes to multi-page documents.
Smart Markdown Conversion
Features a built-in grounding prompt function that automatically converts image documents into structured Markdown format, greatly enhancing content readability and downstream processing efficiency.
OCR Model Comparison
Compare DeepSeek-OCR with other leading OCR solutions across key performance metrics including accuracy, efficiency, and deployment characteristics.
| Model/Tool | Parameter Scale | Compression Support | Accuracy | Advantages | Disadvantages |
|---|---|---|---|---|---|
🚀 DeepSeek-OCR Efficient | 3B | Yes (10-20x) | 97% | Efficient, Multi-language Markdown output | Non-deterministic, Hardware dependent |
📊 GOT-OCR 2.0 High Quality | ~7B | No | 98% (No compression) | High fidelity | High token consumption (60x more) |
📄 MinerU 2.0 PDF Focused | ~10B | Partial | 95% | Strong PDF processing | Slow (6000+ tokens/page) |
⚡ PaddleOCR Lightweight | Small | No | 90% | Easy deployment | Weak structured output |
💬 ChatGPT (GPT-4o) General Purpose | Closed source | No | ~85% (OCR limited) | Easy to use | Short context, Rejects long documents |
DeepSeek-OCR offers superior efficiency with 10-20x compression support while maintaining 97% accuracy. It provides 60x fewer tokens than GOT-OCR 2.0 and excels at multi-language Markdown output, making it ideal for complex document processing workflows.
Frequently Asked Questions about DeepSeek OCR
Discover quick and comprehensive answers to common questions about our platform, services, and features.
DeepSeek-OCR is a high-precision optical character recognition solution that extracts text from complex images, converts image documents into structured Markdown, and supports cross-platform deployment.
It leverages advanced visual-text compression to maintain strong accuracy even on low-resolution or noisy backgrounds, improving robustness across challenging inputs.
Yes. It includes a grounding prompt function that automatically converts image-based documents into structured Markdown to improve readability and downstream processing.
It supports Tiny, Small, Base, Large, and Gundam modes and lets you adjust base_size and image_size (e.g., 1024x640) for tasks ranging from simple barcodes to multi-page documents.
It depends on the image size. usually it takes within 10 seconds to process an image.
Yes. Its flexible sizing and Markdown conversion help process multi-page documents and complex layouts, preserving structure for easier downstream use.
In the playground, you can try DeepSeek OCR with your own image.Just upload the image and click the 'Process' button.
Yes. DeepSeek OCR is free to use. You can try it with your own image in the playground.