deepseekocr.io
DeepSeek OCR is an open-source document AI that compresses high-resolution pages into compact vision tokens, achieving 97% accuracy across 100+ languages while preserving complex layouts and structures.
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Key Features
Vision Token Compression
Compresses high-resolution pages into compact tokens for efficient processing.
Mixture-of-Experts Model
Uses a 3B-parameter transformer for accurate text and layout reconstruction.
Structured Outputs
Exports data in HTML, Markdown, JSON, and SMILES formats preserving document structure.
High Throughput
Processes up to 200,000 pages per GPU daily for large-scale digitization.
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Why Choose deepseekocr.io
High Accuracy:
Delivers near-lossless text and layout extraction with 97% exact-match accuracy.Multilingual Support:
Processes documents in over 100 languages including complex scripts.Open Source:
MIT license allows secure on-premise deployment and customization.
Pricing
DeepSeek OCR is available as an open-source MIT-licensed tool for local deployment. Hosted API access uses token-based pricing at approximately $0.028 per million input tokens. For detailed pricing, visit the official pricing guide.
About deepseekocr.io
DeepSeek OCR is an open-source document AI that compresses high-resolution pages into compact vision tokens, achieving 97% accuracy across 100+ languages while preserving complex layouts and structures.
What deepseekocr.io Does
DeepSeek OCR compresses high-resolution document images into compact vision tokens, then decodes them using a 3 billion-parameter mixture-of-experts transformer model. This process enables near-lossless reconstruction of text, layouts, and diagrams with approximately 97% accuracy.
The tool supports over 100 languages and preserves complex document structures such as tables, charts, and chemical formulas. It outputs results in multiple structured formats including HTML, Markdown, JSON, and SMILES, facilitating integration into data pipelines and analytics workflows.
DeepSeek OCR is suited for industries requiring large-scale document digitization, such as legal, scientific research, finance, and enterprise data management, enabling efficient processing of up to 200,000 pages per day on a single GPU.
Pros & Cons
Preserves Complex Layouts
Maintains tables, charts, and chemical formulas in output formats.
Flexible Deployment
Supports both local GPU deployment and API-based access.
GPU Dependency
Requires modern GPUs for optimal throughput and real-time processing.
Limited Handwriting Support
Primarily designed for printed text; handwriting accuracy is limited.
Frequently Asked Questions
It supports over 100 languages, including Latin, CJK, Cyrillic, and scientific scripts.
Open-source for local use; API access charges about $0.028 per million input tokens.
NVIDIA A100 GPUs provide peak throughput; RTX 30-series with 8GB VRAM supports base mode.
Yes, it outputs near-lossless HTML and Markdown preserving complex document structures.
No, it focuses on printed text; handwriting requires supplementary OCR tools.
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