pdfplumber
Leading#6 in Open sourcemedium confidence
Precise text, table, and layout extraction from born-digital PDFs; the go-to Python library for table scraping (~11k stars).Our read
Why it ranks #6
A long-standing Python extraction staple at about 10.6k GitHub stars, widely cited for inspectable character-level layout and table extraction.Here is the catch
works best on machine-generated rather than scanned PDFs
table settings often need document-specific tuning
does not provide OCR or high-level AI understanding by itself
Does this well
fine-grained control over PDF layout primitives
excellent debugging tools for table extraction
pure Python workflow familiar to data teams
Pricing
Checked by hand on 2026-07-23. Prices in this category change often — if this looks wrong, it probably is.
Key features
Character-level text extractionTable detection and extractionPage geometry inspectionVisual debugging and cropping
Sources we read
Quick facts
More in this area
The rest of the Open source column.- 1Stirling-PDFThe de-facto open-source PDF toolkit: 50+ local operations — merge, split, OCR, convert, sign, redact, compress — fully self-hosted. The recognized OSS PDF leader (~88k stars).
- 2MarkItDown (Microsoft)Microsoft's document-to-Markdown converter (PDF, Office, images, audio) built to feed clean text to LLMs; the highest-starred tool in this space (~169k stars).
- 3MinerU (OpenDataLab)High-accuracy PDF-to-Markdown/JSON extraction; the standout for complex academic papers and CJK layouts (~76k stars).
- 4Docling (IBM / DS4SD)IBM's document parser (PDF, DOCX, PPTX) with strong layout and table understanding; a default in the LlamaIndex/LangChain ecosystem (~64k stars).
- 5marker (Datalab)Fast, high-quality PDF/EPUB/DOCX to Markdown conversion with tables, math, and images; a general-purpose favorite (~38k stars).
- 7PyMuPDFFast low-level PDF/XPS parsing, rendering, and editing (MuPDF bindings); the performance workhorse under many pipelines (~10k stars).