pd3f
pd3f: An open-source pipeline for teams that want scanned-PDF extraction on their own infrastructure. Ranked #48 of 60 in PDF Data Extraction Software by our editors (4.6/10); pricing: Open source; best for small teams self-hosting scanned-PDF extraction.
At a glance
- Editor score4.6 / 10
- PricingOpen source
- Best forSmall teams self-hosting scanned-PDF extraction
- Paid fromFree
- Scanned-PDF OCRYes
- Facts checked23 Oct 2026
Where it wins
- OCR for scanned PDFs with OCRmyPDF and Tesseract
- Extracts tables and reconstructs continuous text
- Includes a web interface, Flask API, and Docker deployment
Where it doesn't
- The project is described as experimental
- Listed language options are limited to five languages
- Self-hosting means running it on your own infrastructure
Our verdict on pd3f
pd3f is an open-source PDF text-extraction pipeline for individuals and small teams that want to process documents on local or server infrastructure. It combines OCR for scanned PDFs with document-structure parsing, table extraction, and machine-learning reconstruction of continuous text. A web-based graphical interface and Flask-based HTTP API provide two ways to work with the pipeline, while Docker-based deployment supports running it on infrastructure the team manages. Its focus is practical extraction rather than a broad document-management suite.
The feature set brings together several distinct extraction tasks: OCRmyPDF and Tesseract handle scanned documents, Parsr supports document structure, and Camelot and Tabula are used for tables. Machine-learning language models reconstruct continuous text from document structure. The listed language options are German, English, Spanish, and French, with Italian support also noted on the homepage. This mix may suit teams whose PDFs need both text and table extraction, but the language coverage is a consideration for documents outside those options.
Deployment and project maturity are important trade-offs. Docker installation is documented, but pd3f is designed to run on local or server infrastructure rather than as a hosted service. The project describes itself as experimental, so organizations seeking a mature commercial product or managed deployment should consider alternatives. For small teams comfortable self-hosting and working with an experimental open-source pipeline, the combination of OCR, tables, text reconstruction, interface, and API is a focused fit.
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pd3f pricing
pd3f fact sheet
| Free plan | Not verified |
|---|---|
| Paid from | Free |
| Scanned-PDF OCR | Yes |
| Table extraction | Yes |
| Form and field extraction | Not verified |
| API access | Yes |
| Max pages per file | Not verified |
| Deployment | Self_hosted |
| Batch processing | Not verified |
| Deployment | Self-hosted |
| Platforms | Web |
| Support | Email, Community, Docs |
| Built for | Solo, Small business (editorial estimate) |
| Pricing | Open source |
| Website | pd3f.com |
| Facts checked | 23 Oct 2026 |
Alternatives to pd3f
- 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
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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