# pdfminer/pdfminer.six

Community maintained fork of pdfminer - we fathom PDF

Repository: https://github.com/pdfminer/pdfminer.six
Canonical: https://ross.abutalabs.com/products/pdfminersix
Homepage: https://pdfminersix.readthedocs.io
Language: Python
License: MIT
License Family: permissive
Topics: pdf, parser, python
Last push: 2026-03-13T13:46:54+00:00

## Health v2 (maintenance only)
Score: 75/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 72, release rhythm 65, longevity 100
- inputs: {"age_days": 4387, "days_push": 173, "days_rel": 238, "gap_med": 7, "n_releases_24m": 10}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 7018, forks 1041 (observed 2026-08-28T04:09:53.429108+00:00)

## What it is
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
- artifact type: library
- maturity: active
- function: parser, pdf, ocr, developer-tools
- domain: pdf, files, developer-tools
- platform: python, cli, cross-platform
- tags: text-extraction, layout-analysis, pdf-parsing, text-mining, cjk-support, natural-language-processing

## Member repositories
- pdfminer/pdfminer.six (main) score 75

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:53.429108+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:40:38.628582+00:00, confidence not recorded.
  - readme: https://github.com/pdfminer/pdfminer.six (fetched 2026-08-28T04:09:53.429108+00:00, sha 90b4ac4d2adc)
  - registry_pypi: https://pypi.org/pypi/pdfminer.six/json (fetched 2026-08-29T08:37:02.520888+00:00, sha 404a37c3dbd1)
- Data as of 2026-08-30T08:39:29.467469+00:00.