Skip to main content

PDF parser and analyzer

Project description

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

Be sure to read the contribution guidelines.

Acknowledgement

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

Project details


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-20251227.tar.gz (7.4 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-20251227-py3-none-any.whl (5.6 MB view details)

Uploaded Python 3

File details

Details for the file pdfminer_six-20251227.tar.gz.

File metadata

  • Download URL: pdfminer_six-20251227.tar.gz
  • Upload date:
  • Size: 7.4 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for pdfminer_six-20251227.tar.gz
Algorithm Hash digest
SHA256 1d98781cf884d7274c694e742a94ffe6326ee11ee7ea79e73e1e75c4c74d91eb
MD5 acd5cb99b67218d984f2005fc79aeef4
BLAKE2b-256 fbef543d0d44c9b03ac08316d31afd8e52b8ab8a86d03620ee0d61d6006bba9c

See more details on using hashes here.

File details

Details for the file pdfminer_six-20251227-py3-none-any.whl.

File metadata

File hashes

Hashes for pdfminer_six-20251227-py3-none-any.whl
Algorithm Hash digest
SHA256 7a41f668a74fdde9e3a6c9265e400992a8312224fb6dbc13ee8861111e330d36
MD5 534591e4dfabc810e2baa9d835c45e49
BLAKE2b-256 ead390bc3ec25e5f33e8e1dea5fd67eae0ef2e8666e7721156fb0091c7098a42

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page