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pdfminer/pdfminer.six

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Community maintained fork of pdfminer - we fathom PDF observed · 2026-09-25

github.com/pdfminer/pdfminer.six · homepage · Python · MIT (permissive) observed · 2026-09-25

Health v2 · maintenance only

69/100

  • Activity 64
  • Release rhythm 57
  • Longevity 100
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-21. Adoption (stars, forks) is never an input.

  • gap_med: 7
  • age_days: 4435
  • days_rel: 286
  • days_push: 221
  • n_releases_24m: 10

Full methodology

Adoption not part of the score

7027 stars · 1039 forks observed · 2026-09-25

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

pdfminer.six is a community-maintained Python library for parsing and analyzing PDF documents, focused on extracting and analyzing text data including layout, fonts, and colors. It is written entirely in Python and offers both a Python API and a command-line tool (pdf2txt.py) for converting PDFs to text, HTML, or hOCR.

Use cases

  • extract text from pdf files in python
  • parse resumes from pdfs
  • get font and position information of pdf text
  • convert pdf documents to html or hocr
  • extract embedded images from pdfs
  • handle cjk and vertical writing text in pdfs
  • extract text from encrypted pdfs

When to choose

  • you need detailed text and layout analysis of PDFs in pure Python
  • you need font, color, or exact position metadata for extracted text
  • you need CJK/vertical writing or various font type support
  • you want a modular parser you can extend with custom interpreters

When to avoid

  • you need to create or edit PDFs rather than read them
  • you need fast OCR of scanned documents (it parses text, not images)
  • you need high-performance processing of very large PDF volumes
  • you need a maintained-by-vendor solution with guaranteed support

Facets

library · maturity active

parser pdf ocr developer-tools pdf files developer-tools python cli cross-platform text-extraction layout-analysis pdf-parsing text-mining cjk-support natural-language-processing

2 sources

Member repositories

RepositoryRoleHealth v2
pdfminer/pdfminer.sixmain69

For agents

markdown · JSON · MCP: product_card(name="pdfminer/pdfminer.six")

Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem