Skip to main content

pdfminer.six

Continuous integration PyPI version gitter

We fathom PDF

Pdfminer.six is a community maintained fork of the original PDFMiner. It is a tool for extracting information from PDF documents. It focuses on getting and analyzing text data. Pdfminer.six extracts the text from a page directly from the sourcecode of the PDF. It can also be used to get the exact location, font or color of the text.

It is built in a modular way such that each component of pdfminer.six can be replaced easily. You can implement your own interpreter or rendering device that uses the power of pdfminer.six for other purposes than text analysis.

Check out the full documentation on Read the Docs.

Features

  • Written entirely in Python.
  • Parse, analyze, and convert PDF documents.
  • Extract content as text, images, html or hOCR.
  • Support for PDF-1.7 specification (well, almost).
  • Support for CJK languages and vertical writing.
  • Support for various font types (Type1, TrueType, Type3, and CID) support.
  • Support for extracting embedded images (JPG, PNG, TIFF, JBIG2, bitmaps).
  • Support for decoding various compressions (ASCIIHexDecode, ASCII85Decode, LZWDecode, FlateDecode, RunLengthDecode, CCITTFaxDecode)
  • Support for RC4 and AES encryption.
  • Support for AcroForm interactive form extraction.
  • Table of contents extraction.
  • Tagged contents extraction.
  • Automatic layout analysis.

How to use

  • Install Python 3.10 or newer.

  • Install pdfminer.six.

    pip install pdfminer.six
    
  • (Optionally) install extra dependencies for extracting images.

    pip install 'pdfminer.six[image]'
    
  • Use the command-line interface to extract text from pdf.

    pdf2txt.py example.pdf
    
  • Or use it with Python.

    from pdfminer.high_level import extract_text
    
    text = extract_text("example.pdf")
    print(text)
    

Contributing

We welcome contributions! Whether you want to fix a bug, add a feature, or improve documentation, your help is appreciated.

Please note that as a community-maintained project with limited maintainer availability, the best way to get an issue resolved is to submit a pull request yourself.

To get started:

  1. Read CONTRIBUTING.md for setup instructions and coding standards
  2. Check out the open issues to find something to work on
  3. Join the discussion on Gitter if you have questions

Acknowledgement

This repository includes code from pyHanko ; the original license has been included here.

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pdfminer_six-20251229.tar.gz (7.5 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

pdfminer_six-20251229-py3-none-any.whl (5.6 MB view details)

Uploaded Python 3

File details

Details for the file pdfminer_six-20251229.tar.gz.

File metadata

  • Download URL: pdfminer_six-20251229.tar.gz
  • Upload date:
  • Size: 7.5 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for pdfminer_six-20251229.tar.gz
Algorithm Hash digest
SHA256 60c6d8745de92e02a06cff7edc82125aed70b88f139cde72c3a22a45d044c6c6
MD5 81d4e731cc78c792e850fd523441638b
BLAKE2b-256 9dd0c62b1802f1eebe04648e720b3a04ced58b4a7f1387923cf5f1b175ded86b

See more details on using hashes here.

File details

Details for the file pdfminer_six-20251229-py3-none-any.whl.

File metadata

File hashes

Hashes for pdfminer_six-20251229-py3-none-any.whl
Algorithm Hash digest
SHA256 3d1856f8d013ad733dc4e55c8c68553eaf5e17ced3d3e2122a2f59a2a3e9c675
MD5 f42a9f17b74c044a1f52b7120bad9e20
BLAKE2b-256 f07c0f0189516525329e000f0c1fa81ee5c4d1000e718e731ff6a87c084793c6

See more details on using hashes here.

Release history Release notifications | RSS feed

20260107

2 files

20251230

2 files

This release

20251229 This release

2 files

20251228

2 files

20251227

2 files

20251107

2 files

20250506

2 files

20250416

2 files

20250327

2 files

20250324

2 files

20240706

2 files

20231228

2 files

20221105

2 files

20220524

2 files

20220506

2 files

20220319

2 files

20211012

2 files

20201018

2 files

20200726

2 files

20200720

2 files

20200517

2 files

20200402

2 files

20200401

2 files

20200124

2 files

20200121

2 files

20200104

2 files

20191110

2 files

20191107

3 files

20191020

2 files

20181108

3 files

20170720

1 file

20170419

1 file

20170418

1 file

20160614

1 file

20160202

1 file

20151013

1 file

20140915

1 file

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page