DeepSeek-OCR
DeepSeek OCR PDF
DeepSeek-OCR is an advanced AI-powered optical character recognition model that accurately extracts text from images and documents in 100+ languages, with specialized capabilities for complex layouts, handwriting, charts, and mathematical formulas.
Key Features
DeepSeek-OCR is an advanced optical character recognition model that leverages cutting-edge AI technology with contextual optical compression to efficiently extract text from images and documents.
Multi-Language Support
Recognizes text in over 100 languages including English, Chinese, Japanese, Korean, Arabic, Cyrillic, and Indian languages with high accuracy.
High-Speed Processing
Processes over 200,000 pages per day on a single A100-40G GPU with speeds up to 2,500 tokens per second.
Advanced OCR 2.0 Capabilities
Goes beyond simple text extraction with chart parsing, complex formula recognition, geometric figure understanding, and deep document structure analysis.
Complex Layout Understanding
Accurately extracts text from documents with complex layouts including tables, forms, and preserves formatting when converting to Markdown.
Handwriting Recognition
Achieves over 92% accuracy on both cursive and printed handwriting with advanced visual token processing.
Privacy-First Processing
Ensures data security with encrypted processing and automatic deletion within 24 hours, with self-hosted deployment options available.
How to Use DeepSeek-OCR
Get started with DeepSeek-OCR through multiple deployment options tailored to your needs.
1
Choose Your Deployment Method
Select from online tool, Python API, vLLM batch processing, or self-hosted deployment based on your requirements for speed, scale, and privacy.
2
Upload Your Document
Upload images or PDF files through the web interface or API. Supported formats include JPG, PNG, TIFF, and PDF with multiple pages.
3
Configure Processing Options
Specify document type, language preferences, and output format. Enable advanced features like chart parsing or formula recognition as needed.
4
Process and Review
Submit your document for processing. The model will extract text with preserved structure, formatting, and handle complex elements automatically.
5
Export or Integrate Results
Download extracted text in your preferred format or integrate directly into your workflow via API for automated processing pipelines.
Best Practices
- •Use high-resolution images (300 DPI or higher) for best accuracy
- •For large document sets, use vLLM batch processing to achieve maximum throughput
- •Enable structure preservation when working with formatted documents, tables, or academic papers
- •Consider self-hosted deployment for processing sensitive or confidential documents
- •Test with sample documents first to optimize settings for your specific use case
DeepSeek-OCR supports over 100 languages and processes documents with complex layouts, formulas, and charts. For production workloads, consider using the Python API or vLLM batch processing for optimal performance.
Use Cases
DeepSeek-OCR excels in a wide range of document processing scenarios, from simple text extraction to complex academic and business applications.
Document Digitization
Convert printed archives, historical documents, and scanned books into editable digital formats with preserved formatting and structure.
Business Automation
Automate data entry from invoices, receipts, contracts, and forms to streamline workflows and reduce manual processing time.
Academic Research
Process research papers, textbooks, and scientific documents including mathematical formulas, chemical equations, and complex diagrams.
Multilingual Content Management
Handle documents containing multiple languages without manual intervention, perfect for international organizations and translation services.
Data Extraction from Visuals
Extract data from charts, graphs, tables, and technical illustrations for analysis and reporting purposes.
Handwriting Digitization
Convert handwritten notes, forms, and signatures into digital text with high accuracy for archival and searchability.
Frequently Asked Questions
Common questions about DeepSeek-OCR and how to get the most out of the model.
What languages does DeepSeek-OCR support?
DeepSeek-OCR supports over 100 languages including Latin scripts (English, Spanish, French, German), Asian languages (Chinese, Japanese, Korean), Arabic scripts, Cyrillic scripts (Russian, Ukrainian), and Indian languages (Hindi, Bengali, Tamil, etc.). The model automatically detects languages in mixed-language documents.
What makes DeepSeek-OCR different from traditional OCR?
DeepSeek-OCR uses advanced Contextual Optical Compression technology with a novel architecture combining DeepEncoder and a 3B parameter MoE decoder. It goes beyond text extraction to provide OCR 2.0 capabilities including chart parsing, complex formula recognition, geometric figure understanding, and deep document structure analysis.
Can DeepSeek-OCR handle handwritten text?
Yes, DeepSeek-OCR achieves over 92% accuracy on both cursive and printed handwriting. For best results, ensure adequate lighting, good contrast, and straight alignment of handwritten documents.
What is the processing speed of DeepSeek-OCR?
DeepSeek-OCR can process over 200,000 pages per day on a single A100-40G GPU, with speeds up to 2,500 tokens per second when using vLLM batch processing. Performance varies based on document complexity and deployment method.
Can I process documents with tables and complex layouts?
Absolutely. DeepSeek-OCR excels at understanding complex layouts including tables, forms, multi-column documents, and preserves formatting when converting to Markdown. It can also parse charts and recognize mathematical and chemical formulas.
Is my data secure when using DeepSeek-OCR?
Yes, DeepSeek-OCR uses encrypted processing and automatically deletes data within 24 hours when using the online tool. For maximum privacy and control, you can deploy the model on your own infrastructure using self-hosted deployment options.
What deployment options are available?
DeepSeek-OCR offers four deployment options: (1) Online tool for instant processing, (2) Python API for scripting and prototyping, (3) vLLM batch processing for production workloads, and (4) Self-hosted deployment on your infrastructure with Docker, Kubernetes, or cloud platform support.
Can DeepSeek-OCR extract data from charts and graphs?
Yes, DeepSeek-OCR includes advanced chart parsing capabilities that can accurately extract data from graphs, bar charts, pie charts, and other visualizations, making it ideal for processing reports and analytical documents.
Ready to Transform Your Document Processing?
Experience the power of DeepSeek-OCR's advanced optical character recognition with support for 100+ languages, chart parsing, and complex layout understanding.
Open-source model available under MIT License. Deploy online or self-host for maximum privacy and control.