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Description
DeepSeek-OCR is an open-source framework that focuses on Contexts Optical Compression, aimed at pushing the limits of visual-text compression and examining the role of vision encoders through an LLM-focused lens. This innovative model effectively compresses extensive contexts via optical 2D mapping, utilizing DeepEncoder as its primary engine and DeepSeek3B-MoE-A570M as the decoding mechanism. With a capacity to maintain low activations under high-resolution inputs, DeepEncoder achieves impressive compression ratios, allowing for a manageable number of vision tokens essential for understanding documents. The system is optimized for OCR and document parsing tasks related to images and PDFs, featuring inference options through vLLM or Transformers. Users have the flexibility to execute image OCR with streaming outputs, handle PDFs with high concurrency, or conduct batch evaluations for benchmarking purposes. Additionally, DeepSeek-OCR is capable of transforming documents into Markdown format, enabling free OCR without the constraints of layouts, parsing figures, providing detailed image descriptions, and pinpointing referenced text within images, thereby enhancing its utility across various applications. This versatility positions DeepSeek-OCR as a valuable tool for anyone needing advanced document processing capabilities.
Description
DeepSeek-V3.2-Speciale is the most advanced reasoning-focused version of the DeepSeek-V3.2 family, designed to excel in mathematical, algorithmic, and logic-intensive tasks. It incorporates DeepSeek Sparse Attention (DSA), an efficient attention mechanism tailored for very long contexts, enabling scalable reasoning with minimal compute costs. The model undergoes a robust reinforcement learning pipeline that scales post-training compute to frontier levels, enabling performance that exceeds GPT-5 on internal evaluations. Its achievements include gold-medal-level solutions in IMO 2025, IOI 2025, ICPC World Finals, and CMO 2025, with final submissions publicly released for verification. Unlike the standard V3.2 model, the Speciale variant removes tool-calling capabilities to maximize focused reasoning output without external interactions. DeepSeek-V3.2-Speciale uses a revised chat template with explicit thinking blocks and system-level reasoning formatting. The repository includes encoding tools showing how to convert OpenAI-style chat messages into DeepSeek’s specialized input format. With its MIT license and 685B-parameter architecture, DeepSeek-V3.2-Speciale offers cutting-edge performance for academic research, competitive programming, and enterprise-level reasoning applications.
API Access
Has API
API Access
Has API
Pricing Details
Free
Free Trial
Free Version
Pricing Details
Free
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
DeepSeek
Founded
2023
Country
China
Website
github.com/deepseek-ai/DeepSeek-OCR
Vendor Details
Company Name
DeepSeek
Founded
2023
Country
China
Website
deepseek.com