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Camelot

Free#42 of 60 in PDF Data Extraction Software

Camelot: A focused, open-source toolkit for extracting PDF tables into data-ready formats. Ranked #42 of 60 in PDF Data Extraction Software by our editors (5.2/10); pricing: Free plan; best for developers extracting tables from PDFs.

5.2/10Editor score
Camelot5.2 Visit Camelot

At a glance

  • Editor score
    5.2 / 10
  • Pricing
    Free plan
  • Best for
    Developers extracting tables from PDFs
  • Free plan
    Yes
  • Paid from
    Free
  • Scanned-PDF OCR
    Yes
  • Facts checked
    23 Oct 2026
  • Where it wins

    • Offers multiple parsers for ruled, whitespace-separated, and text-aligned tables
    • Exports tables as pandas DataFrames, or to CSV, JSON, Excel, and more
    • Reports parsing metrics and can stitch contiguous tables across pages
  • Where it doesn't

    • Standard parsers require text-based PDFs
    • OCR is optional and requires the relevant extras
    • Focused on table extraction rather than broader document data

Our verdict on Camelot

Camelot is an open-source Python library for developers who need to extract tabular data from PDF files. It returns tables as pandas DataFrames and includes a command-line interface for running extraction tasks. With self-hosted deployment and no-cost availability, it suits solo developers and teams that want table extraction in a Python workflow rather than a hosted subscription service.

Its parsing options cover ruled tables, whitespace-separated layouts, and text-aligned tables, with machine-learning-assisted parsing available for table structure. Standard parsers work with text-based PDFs; optional OCR components can handle text in scanned or image-only PDFs, but require the relevant extras. Camelot also provides parsing metrics, including accuracy and whitespace, and can stitch contiguous tables across multiple pages. These features make it a focused option when table layout and extraction quality need inspection, but it is not a general-purpose document extraction platform.

Extracted tables can be exported to CSV, JSON, Excel, HTML, Markdown, and SQLite, or kept as DataFrames for further processing. The command-line interface supports running extraction tasks outside an interactive Python session. Developers should choose Camelot when they can work with a self-hosted library and primarily need PDF table extraction; teams seeking a hosted subscription product or broader document extraction should consider alternatives.

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

Camelot pricing

Plans Free planFree Free to use — no paid tier required for the core job.
See plans on camelot-py.readthedocs.io

Camelot fact sheet

Free planYes
Paid fromFree
Scanned-PDF OCRYes
Table extractionYes
Form and field extractionNot verified
API accessYes
Max pages per fileNot verified
DeploymentSelf_hosted
Batch processingNot verified
DeploymentSelf-hosted
Built forSolo, Small business, Mid-market, Enterprise (editorial estimate)
PricingFree plan
Websitecamelot-py.readthedocs.io
Facts checked23 Oct 2026

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Featured on iTechGuides

Featured on iTechGuides — Camelot 5.2/10

Camelot is listed in our PDF Data Extraction 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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