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PDFQuery

Free#50 of 60 in PDF Data Extraction Software

PDFQuery: A focused, self-hosted toolkit for Python developers extracting structured PDF data. Ranked #50 of 60 in PDF Data Extraction Software by our editors (4.4/10); pricing: Free plan; best for python developers querying PDF text and layout.

4.4/10Editor score
PDFQuery4.4 Visit PDFQuery

At a glance

  • Editor score
    4.4 / 10
  • Pricing
    Free plan
  • Best for
    Python developers querying PDF text and layout
  • Free plan
    Yes
  • Paid from
    Free
  • Facts checked
    23 Oct 2026
  • Where it wins

    • Turns PDF layout into an element tree for structured queries
    • Finds elements by content, page coordinates, or bounding-box overlap
    • Formats multiple named values into a dictionary
  • Where it doesn't

    • Requires Python development rather than offering a hosted SaaS workflow
    • Extraction is focused on querying PDF layout and selected elements
    • No AI features

Our verdict on PDFQuery

PDFQuery is an open-source Python library for developers who need repeatable extraction from PDF documents, especially forms or other structured content. It converts a PDF’s layout into an element tree and lets users select text and layout elements with PyQuery selectors or XPath-style queries. Results can be formatted as values or dictionaries, making the library a fit for solo developers and small teams working with PDFs in code. It is self-hosted and supports Linux, macOS, and Windows.

Its distinguishing strength is the range of ways to target page content. Queries can find elements by their contents or by page coordinates, including elements within or overlapping specified bounding boxes. Developers can extract multiple named values into a dictionary, apply result formatters and filtering functions, and restrict loading and searches to selected pages. Caching parsed page ranges can help when workflows revisit those pages. This is a targeted approach to structured layout queries rather than a general-purpose document processing service.

PDFQuery is distributed under the MIT license and installed with pip, so it suits teams comfortable incorporating a library into their own Python workflows. It is not a hosted SaaS product, and its self-hosted, developer-oriented model means it is a less natural fit for users looking for a ready-made interface or managed extraction service. The product has no AI features; buyers seeking AI-assisted processing should consider another tool. Choose PDFQuery when selectors, coordinates, and repeatable extraction in Python are central to the task; look elsewhere if the priority is a hosted workflow or features beyond its focused extraction approach.

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

PDFQuery pricing

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

PDFQuery fact sheet

Free planYes
Paid fromFree
Scanned-PDF OCRNot verified
Table extractionNot verified
Form and field extractionNot verified
API accessNot verified
Max pages per fileNot verified
DeploymentSelf_hosted
Batch processingNot verified
DeploymentSelf-hosted
PlatformsLinux, macOS, Windows
Built forSolo, Small business (editorial estimate)
PricingFree plan
Websitegithub.com
Facts checked23 Oct 2026

Alternatives to PDFQuery

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Featured on iTechGuides

Featured on iTechGuides — PDFQuery 4.4/10

PDFQuery 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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