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Surya review

Free#14 of 40 in OCR SoftwareOCR API SoftwarePDF Data Extraction Software

A strong choice for structured OCR when self-hosting on Linux or macOS fits.

7.3/10Editor score
Surya7.3 Visit Datalab

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Surya is an open-source OCR model and document-analysis toolkit from Datalab for teams that want to process images and PDFs in their own environment. It combines text recognition with layout analysis, reading-order detection, table recognition, and OCR error detection. The package fits developers, researchers, and document-processing teams that can manage local inference on Linux or macOS, including CPU and Apple Silicon workflows through llama.cpp.

Its strongest distinction is breadth within structured document understanding. Surya can produce structured HTML, identify document regions with bounding boxes, detect text lines, infer reading order, and recognize table rows and columns. The published specifications also include handwriting OCR and support for 91 languages. An interactive Streamlit GUI makes image and PDF processing more accessible, while integrations with Docker, NVIDIA Container Toolkit, vLLM, llama.cpp, and Streamlit support different deployment approaches. Surya 2 uses a roughly 650-million-parameter vision-language model, alongside separate models for text-line detection and OCR-error detection.

Surya itself is free and open source rather than a conventional hosted SaaS product. Local inference can use NVIDIA GPU backends or llama.cpp on CPU and Apple Silicon, giving technical teams control over deployment and processing. It is a good fit when structured extraction, layout fidelity, tables, and self-hosting matter more than a managed workflow. Teams seeking a hosted OCR service, a conventional SaaS buying model, or workflows centered on Word export or searchable-PDF generation should choose a different tool.

Surya pros and cons

  • Where it wins
    • Full-page OCR with structured HTML output for images and PDFs
    • Detects layout, reading order, text lines, tables, and OCR errors
    • Free, open source, with Docker, vLLM, llama.cpp, and Streamlit support
  • Where it doesn't
    • Self-hosting is centered on Linux and macOS environments
    • Not a conventional hosted SaaS OCR product
    • Word export and searchable-PDF workflows are not stated capabilities

Surya fact sheet, pricing and score →

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