Free plan available

Deepseek OCR

Next-gen document intelligence platform using context optical compression.

Visitdeepseek-ocr.io
Intro

What is Deepseek OCR?

DeepSeek OCR is a next-generation document intelligence platform powered by a context optical compression engine. It excels at deepseek pdf extraction, allowing organizations to compress high-resolution document images into lean vision tokens before decoding them with a high-capacity 3B-parameter mixture-of-experts model. This deepseekocr system delivers near-lossless text, layout, and diagram understanding across more than 100 languages, including specialized scripts like cyrillic deepseek ocr. It bridges textual summaries with visual elements, making it ideal for processing complex formats, financial records, and scientific papers.

Deepseek OCR at a glance
Free local setup, Cloud API from $0.028/1M tokens13K monthly visitsHas free access
Pricing

Deepseek OCR Pricing Plans

Compare Deepseek OCR free options, Deepseek OCR paid pricing plans, and usage notes before you choose the best way to use this AI tool in 2026.

Free local setup, Cloud API from $0.028/1M tokens

Free

Download the 6.7 GB safetensors checkpoint from GitHub and run locally on your own GPU hardware with no license fees.

$0.028 per 1M tokens

Applies to deepseek-chat and deepseek-reasoner input tokens that hit the context cache.

$0.28 per 1M tokens

Standard rate for API input tokens when a context cache miss occurs.

$0.42 per 1M tokens

Standard rate for all generated output tokens returned by the API.

Pricing updated:Jun 12, 2026

Features

Deepseek OCR AI Features

Context Optical Compression that slashes compute requirements up to 20×High throughput of up to 200k pages per day on a single NVIDIA A100 GPUMultilingual support covering over 100 languages including Latin, CJK, and Cyrillic scriptsStructured data outputs including HTML tables, Markdown charts, geometry annotations, and SMILES chemistry stringsFlexible deployment options with MIT-licensed weights for on-premises operations
Pros & Cons

Deepseek OCR Pros and Cons

Pros

  • Extremely GPU-efficient throughput via innovative token compression
  • Maintains strong layout-preservation for tables, formulas, and diagrams
  • Open-source MIT license permits free on-premises deployment
  • Highly competitive cloud API token economics

Limitations

  • Accuracy drops to approximately 60% when over-compressed at a 20× ratio
  • Limited performance and handwriting gaps on cursive-heavy workloads
  • Struggles with fine vector charts and CAD-precision graphics without native parsers
  • Real-time local processing requires modern, powerful GPU hardware

Deepseek OCR FAQ

According to the deepseek ocr benchmark details, it achieves a 97% exact-match accuracy on the Fox compression benchmark even at 10× token compression, rivaling proprietary cloud services while significantly reducing the vision token budget.