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DeepSeek OCR

DeepSeek OCR

Online OCR with Markdown output

Extract text from documents at high accuracy

Speech to textDocument OCRText ExtractionDocument ProcessingMultilingualOpen Source
Visit official site →

Highlights

97% claimed text extraction accuracy
Low token consumption, about 100 tokens per page
Converts documents to Markdown with layout preserved
Chart and formula parsing
Self-hosted deployment with Docker and Kubernetes
Free and paid plans

What you can do with it

  • Extract text, formulas, and chart data from research papers
  • Convert technical manuals and API docs into Markdown
  • Process multilingual contracts, invoices, and reports

How to use it

  1. 1 Open the DeepSeek OCR website.
  2. 2 Upload your image or PDF.
  3. 3 Choose a parsing mode such as Tiny, Small, Base, Large, or Gundam.
  4. 4 Run the conversion.
  5. 5 Download the text or Markdown file.

Who it is for

Researchers digitizing papers with formulas and figuresTechnical writers converting manuals into editable formatsTeams processing multilingual business documents

Pros

  • Markdown output keeps structure usable downstream
  • Chart and formula handling goes beyond plain text
  • Self-hosting option for data-sensitive work
  • A free plan is available alongside paid tiers

Limitations

  • Accuracy claims come from the vendor and will vary by document
  • Scans, handwriting, and poor image quality reduce accuracy
  • Free plan limits and parsing mode differences are not detailed
  • Self-hosting needs infrastructure and maintenance effort

What DeepSeek OCR is

DeepSeek OCR is an online OCR tool built on a 3B parameter vision-language model. The page states 97% text extraction accuracy with low token consumption, around 100 tokens per page, and describes a visual compression approach that improves how documents are processed. It supports multiple languages, including English, Chinese, and Japanese, and converts documents into Markdown while keeping the original layout, which makes the output usable in editors and version control. Beyond plain text it extracts data from charts and complex mathematical formulas. For teams with data control requirements, self-hosted deployment through Docker and Kubernetes is offered. Both free and paid plans are described.

What you can do with it

- Extract text from images and PDFs in several languages.

- Convert documents into Markdown with layout preserved.

- Pull data out of charts and mathematical formulas.

- Run the tool yourself with Docker or Kubernetes if you need to.

Who it is for

- Researchers digitizing papers that contain formulas and figures.

- Technical writers converting manuals and API docs into editable formats.

- Teams processing multilingual contracts, invoices, and reports.

What to watch out for

The 97% figure is the vendor's claim, and real accuracy depends on the source. Clean digital PDFs do well; scans, handwriting, low resolution, and unusual layouts all pull the number down. Free plan limits and the practical differences between parsing modes are not detailed, so test with your own documents before committing to volume. Self-hosting gives control but needs infrastructure, updates, and someone to maintain it. Either way, check extracted text before it goes anywhere important. For team use, agree on naming and editing conventions in advance to avoid version conflicts or duplicated work.

FAQ

How accurate is it?

The page states 97% text extraction accuracy, though real results depend on the source document.

What formats can it output?

It converts documents into Markdown and extracts text from images.

Can I run it myself?

Yes. Docker and Kubernetes deployment are listed for self-hosting.

Why it is free

What the official page says: 免费

Free limits, trial length and features are decided by the official site and can change at any time.

Product preview

DeepSeek OCR product screenshot

Screenshot archived from the listing page, for preview only.

DeepSeek OCR

The world's first online OCR tool driven by deep learning, with 97% accuracy.

Visit official site →

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