PyMuPDF
PyMuPDF: A self-hosted Python library for extracting PDF text, tables, images, and form data. Ranked #21 of 60 in PDF Data Extraction Software by our editors (7.4/10); pricing: Free plan · pricing on request; best for developers extracting PDF text and tables locally.
At a glance
- Editor score7.4 / 10
- PricingFree plan · pricing on request
- Best forDevelopers extracting PDF text and tables locally
- Free planYes
- Scanned-PDF OCRYes
- Facts checked23 Oct 2026
Where it wins
- Extracts tables with cell structure, including merged cells and complex layouts
- Supports OCR through Tesseract OCR, RapidOCR, and PaddleOCR when resources are available
- Combines extraction with form fields, rendering, conversion, and PDF editing
Where it doesn't
- OCR depends on available OCR engines and language data
- The free option is subject to AGPL terms
- Commercial licensing requires contacting sales
Our verdict on PyMuPDF
PyMuPDF is an open-source Python library for developers who need to extract and process PDF content in a local or self-hosted workflow. It handles plain and structured text, tables with cell structure, images, vector graphics, and form fields. Its scope also includes rendering pages, converting supported documents, and working with annotations, redactions, and merged documents. This breadth suits teams that want PDF operations inside an application rather than a separate hosted extraction service.
Table extraction is a notable strength: PyMuPDF can preserve cell structure, including merged cells and complex layouts. OCR is available for document pages and images when OCR resources are available, with integrations for Tesseract OCR, RapidOCR, and PaddleOCR. The library also integrates with LangChain and LlamaIndex. Developers can use its API across Windows, macOS, and Linux, or deploy it in self-hosted environments. These options make it a fit for projects that need control over processing and want to combine extraction with other PDF handling tasks.
Licensing is an important selection factor. The free option is subject to AGPL terms, while a commercial licensing option is available for proprietary, hosted, embedded, and internal enterprise use; commercial pricing requires contacting sales. Support channels include documentation and community support. Choose PyMuPDF when a development team needs a locally deployable library with table extraction and broader PDF manipulation. It is less suitable for buyers seeking a managed extraction service, a built-in AI feature set, or a published commercial plan price.
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PyMuPDF pricing
PyMuPDF fact sheet
| Free plan | Yes |
|---|---|
| Paid from | Not verified |
| Scanned-PDF OCR | Yes |
| Table extraction | Yes |
| Form and field extraction | Yes |
| API access | Yes |
| Max pages per file | Not verified |
| Deployment | Self_hosted |
| Batch processing | Not verified |
| Deployment | Self-hosted |
| Platforms | Windows, macOS, Linux |
| Support | Community, Docs |
| Built for | Solo, Small business, Mid-market, Enterprise (editorial estimate) |
| Integrations | 5 integrations: Tesseract OCR, RapidOCR, PaddleOCR, LangChain, LlamaIndex |
| Pricing | Free plan · pricing on request (source) |
| Website | pymupdf.readthedocs.io |
| Facts checked | 23 Oct 2026 |
PyMuPDF integrations
PyMuPDF lists 5 integrations on its own site.
- Tesseract OCR
- RapidOCR
- PaddleOCR
- LangChain
- LlamaIndex
Alternatives to PyMuPDF
- 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 PyMuPDF alternatives →
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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