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docTR

Free#7 of 40 in OCR SoftwareOCR API Software

docTR: A developer-focused OCR library with strong layout, table, and extraction tools. Ranked #7 of 40 in OCR Software by our editors (8.1/10); pricing: Free plan; best for OCR developers needing layout and table analysis.

8.1/10Editor score
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docTR8.1 Visit docTR

At a glance

  • Editor score
    8.1 / 10
  • Pricing
    Free plan
  • Best for
    OCR developers needing layout and table analysis
  • Free plan
    Yes
  • Paid from
    Free
  • Founded
    2021
  • Facts checked
    23 Sep 2026
docTR screenshot

  • Where it wins

    • Detects and recognizes text with two-stage OCR predictors
    • Analyzes tables, figures, headers, footers, and reading order
    • Exports to Markdown, HTML, JSON, plain text, and hOCR XML

  • Where it doesn't

    • Developer library rather than a hosted OCR subscription product
    • Listed export formats do not include searchable PDF
    • Requires development work for custom training and application integration

Our verdict on docTR

docTR is an open-source Python library for optical character recognition and document understanding. It is designed for developers, researchers, and teams building applications that process image files and PDFs. The toolkit runs on Windows, macOS, and Linux, and combines text detection and recognition with document-level analysis. Its scope suits technical users who need OCR capabilities inside a software project rather than a standalone hosted subscription product.

Its strongest area is structured document analysis. docTR includes predictors for text detection, recognition, layout analysis, table structure recognition, and key information extraction. Layout analysis can identify regions such as tables, figures, headers, and footers, while table recognition can return cell and logical-coordinate output. The key information extraction predictor supports multiple detection classes. These capabilities give developers more control over document structure than a narrow text-only OCR workflow, particularly when downstream processing depends on regions, reading order, or extracted fields.

The library also supports PDF and image document loading, reading-order-aware text rendering, and export to Markdown, AsciiDoc, HTML, plain text, JSON, and hOCR XML. Model training and custom dataset support allow teams to adapt the system within their own applications. Its cross-platform, open-source model is a good fit for developers who want to integrate OCR and document analysis into Python-based software. Teams seeking a hosted OCR subscription product or searchable-PDF output should choose a different tool. docTR is most appropriate when implementation control, custom training, and structured outputs matter more than a packaged end-user workflow.

Your product? Our editors can test docTR in depth and publish a review, labelled as paid · from $149/mo →

docTR pricing

Plans Free planFree Free to use — no paid tier required for the core job.
See plans on mindee.github.io

docTR fact sheet

Free planYes
Paid fromFree
Searchable PDFNot verified
Word exportNot verified
Handwriting OCRNot verified
Supported languagesNot verified
Monthly page limitNot verified
Primary platformDesktop
Supported inputsBoth
DeploymentSelf-hosted
PlatformsLinux, Windows, macOS
SupportDocs, Community
Built forSolo, Small business, Mid-market, Enterprise (editorial estimate)
Integrations2 integrations: Hugging Face Hub, FastAPI
PricingFree plan
Websitemindee.github.io
Facts checked23 Sep 2026

docTR integrations

docTR lists 2 integrations on its own site.

  • Hugging Face Hub
  • FastAPI

Alternatives to docTR

See all docTR alternatives →

docTR vs the competition

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Also Ranked In

docTR is ranked in 2 of our directories.

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Featured on iTechGuides

Featured on iTechGuides — docTR 8.1/10

docTR is listed in our OCR Software directory. Add the badge to your site — it links back to this page.

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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

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