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Deepseek-ocr

Deepseek-ocr

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Introduction:
DeepSeek OCR offers advanced document intelligence with multilingual support and efficient GPU processing.
Launch Date:
Monthly Visits:
14.3K
Inputs:
ImageText
Outputs:
TextTabular
Supported Languages:
ENZHJAKOTWHK
AI Models:
DeepSeek-3B-MoE
Website
💼Work🎨Creativity
AI Document Scanner15AI OCR10
Deepseek-ocr Overview

What is DeepSeek OCR?

DeepSeek OCR is an advanced optical character recognition (OCR) tool that leverages a two-stage transformer-based architecture to compress and decode high-resolution document images into structured text, layouts, and annotations. It utilizes a context optical compression system that transforms complex page layouts into compact vision tokens. The first stage employs a combination of a windowed SAM vision transformer and a dense CLIP-Large encoder, while the second stage utilizes a mixture-of-experts (MoE) decoder with 3 billion parameters to reconstruct the original document information with near-lossless accuracy. This powerful tool supports over 100 languages, making it ideal for global document digitization projects.


How to use DeepSeek OCR?

  1. Deploy DeepSeek OCR locally with GPUs: Clone the DeepSeek OCR GitHub repository, download the 6.7 GB safetensors checkpoint, and set up PyTorch 2.6+ with FlashAttention. Ensure your GPU has at least 8–10 GB of VRAM for Base mode, while Gundam mode requires 40 GB A100s.
  2. Call DeepSeek OCR via API: Use DeepSeek’s OpenAI-compatible API endpoints to submit images and receive structured text outputs. Pricing is based on token usage, approximately $0.028 per million input tokens for cache hits.
  3. Integrate DeepSeek OCR into workflows: Convert the OCR outputs to formats like JSON, link SMILES strings to cheminformatics pipelines, or auto-generate captions for diagrams, utilizing the structured results from DeepSeek OCR.

What are the main features of DeepSeek OCR?

  • Context Optical Compression: Reduces high-resolution documents into compact vision tokens, enabling efficient processing of complex layouts.
  • Multilingual Support: Capable of processing over 100 languages, including Latin, CJK, and specialized scientific scripts.
  • Structured Output: Outputs in various formats such as HTML, Markdown, and JSON, facilitating easy integration into analytics workflows.
  • High Throughput: Achieves up to 200,000 pages per day on a single NVIDIA A100 GPU, making it suitable for large-scale document processing.
  • Compliance Considerations: MIT-licensed weights allow for local deployment, minimizing regulatory concerns associated with cloud-based solutions.

Who is DeepSeek OCR for?

DeepSeek OCR is designed for organizations and professionals involved in document digitization, data extraction, and multilingual processing. It is particularly beneficial for industries such as legal, financial, and scientific sectors that require accurate and efficient handling of complex documents. Researchers, data scientists, and developers looking to integrate advanced OCR capabilities into their applications or workflows will find DeepSeek OCR to be a valuable tool.


What are the use cases of DeepSeek OCR?

  1. Scanned Books & Reports: Efficiently compress thousands of words per page for search and summarization in digital libraries.
  2. Technical Diagrams & Formulas: Extract detailed geometry reasoning and chemical annotations from visual assets to support scientific analysis.
  3. Multilingual Dataset Creation: Build diverse training datasets across 100+ languages by scanning books or surveys for language model development.

Product Images

DeepSeek OCR document conversion example
DeepSeek OCR benchmark results
DeepSeek OCR architecture overview
DeepSeek OCR compression insights
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Deepseek-ocr Pros and Cons

Pros

  • High Compression Efficiency: DeepSeek OCR achieves a remarkable 10× compression ratio, allowing for efficient processing of high-resolution documents while maintaining near-lossless text and layout understanding.
  • Multilingual Support: With support for over 100 languages, including Latin, CJK, and Cyrillic scripts, DeepSeek OCR is suitable for global digitization projects.
  • GPU Optimization: Designed for GPU efficiency, DeepSeek OCR can process up to 200,000 pages per day on a single NVIDIA A100 GPU, making it ideal for high-volume document processing.

Cons

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Deepseek-ocr Pricing

DeepSeek Reasoner

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Pricing for DeepSeek Reasoner model.

Input Tokens (Cache Miss)

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Pricing for input tokens when cache miss occurs.

Output Tokens

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Pricing for output tokens.

For the latest pricing, please visit this link: https://api-docs.deepseek.com/quick_start/pricing

Prices are subject to change. Please visit the official website for the most up-to-date pricing information.

Analytics of Deepseek-ocr

Deepseek-ocr Website Traffic Analysis

Visits Over Time

Nov 2025 - Dec 2025 All Traffic
--
AI Tools Rank
14.31K
Monthly Visits
44.14%
Bounce Rate
1.38
Pages Per Visit
0:18
Visit Duration
1.87M
Global Rank
1.45M
Country Rank

Traffic Sources

Nov 2025 - Dec 2025 Worldwide Desktop Only

  • Search: 72.38%
  • Direct: 18.12%
  • Referrals: 7.01%
  • Social: 1.50%
  • Paid Referrals: 0.55%
  • Mail: 0.17%

Top Regions

Nov 2025 - Dec 2025 Desktop Only
RegionPercentage
🇨🇳
China
45.02%
🇺🇸
United States
12.80%
🇻🇳
Vietnam
12.11%
🇯🇵
Japan
6.96%
🇮🇳
India
5.38%
  1. China: 45.02%
  2. United States: 12.80%
  3. Vietnam: 12.11%
  4. Japan: 6.96%
  5. India: 5.38%

Top Keywords

KeywordVolumeCPCEstimated Value
deepseek ocr 坐标0$0.00$120.00
deepseek ocr46.59K$2.07$2130.00
deepseek-ocr8.82K$0.00$340.00
deepseak ocr200$0.00$80.00
deeps ocr90$0.00$80.00

Deepseek-ocr Reviews

DeepSeek OCR! Open source is a gift that keeps on giving! AWESOME! I just converted a 400 page PDF into markdown using this fine new open source model. It took under 4 minutes!

Unlike closed AI labs, DeepSeek proves they are truly open research. Their OCR paper treats paragraphs as pixels and is 60x leap more efficient than traditional LLMs. Small super efficient models are the future.

The big blue whale is back with something wild this time! DeepSeek built an OCR model that can compress text by 10x using vision tokens.

For more reviews, visit this link: https://deepseek-ocr.io#voices-from-x

Deepseek-ocr Compare

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Info current as of post date. Offers and availability may vary by location and are subject to change.

Deepseek-ocr Q&A

DeepSeek OCR slices pages into patches, applies 16× convolutional downsampling, and forwards only 64–400 vision tokens to the MoE decoder, retaining layout cues while cutting context size tenfold.

NVIDIA A100 (40 GB) offers peak throughput (~200k pages/day), while RTX 30-series cards with ≥8 GB VRAM can handle Base mode for moderate loads.

Handwriting is not a core focus; performance remains limited compared to specialized cursive OCR tools. Pair DeepSeek OCR with handwriting engines when needed.

Yes. Tests show near-lossless HTML/Markdown reproduction for tables and chart structures, enabling analytics pipelines without manual clean-up.

DeepSeek OCR covers roughly 100 languages, spanning Latin, CJK, Cyrillic, and scientific notation, thanks to its extensive real and synthetic training data.

DeepSeek OCR can emit plain text, HTML, Markdown, structured JSON, SMILES chemistry strings, and contextual captions, depending on prompts.

For more FAQs, please visit this link: https://deepseek-ocr.io/#faq

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