PDFQuery
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.
At a glance
- Editor score4.4 / 10
- PricingFree plan
- Best forPython developers querying PDF text and layout
- Free planYes
- Paid fromFree
- Facts checked23 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.
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PDFQuery pricing
PDFQuery fact sheet
| Free plan | Yes |
|---|---|
| Paid from | Free |
| Scanned-PDF OCR | Not verified |
| Table extraction | Not verified |
| Form and field extraction | Not verified |
| API access | Not verified |
| Max pages per file | Not verified |
| Deployment | Self_hosted |
| Batch processing | Not verified |
| Deployment | Self-hosted |
| Platforms | Linux, macOS, Windows |
| Built for | Solo, Small business (editorial estimate) |
| Pricing | Free plan |
| Website | github.com |
| Facts checked | 23 Oct 2026 |
Alternatives to PDFQuery
- ABBYY VantageAn enterprise document-processing platform with AI extraction, review, routing, and workflow integrations.9.4
- UiPath Document UnderstandingA workflow-oriented option for teams that need document extraction with human review and routing.9.3
- Adobe PDF Services APIA broad cloud API for extracting PDF content and automating document workflows.9.2
See all PDFQuery alternatives →
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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