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.
  • PDF-1.7 specification support. (well, almost).
  • CJK languages and vertical writing scripts support.
  • Various font types (Type1, TrueType, Type3, and CID) support.
  • Support for extracting images (JPG, JBIG2, Bitmaps).
  • Support for 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 3.9 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.

Release files for pdfminer.six 20250327

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for pdfminer.six 20250327
File Size Uploaded
pdfminer_six-20250327.tar.gz 7.4 MB Details

Built distribution (wheel)

Table of built distributions (wheels) for pdfminer.six 20250327
File Interpreter ABI Platform
pdfminer_six-20250327-py3-none-any.whl Python 3 none any Details

Total release size: 13.0 MB

Release files / pdfminer_six-20250327.tar.gz

Download URL pdfminer_six-20250327.tar.gz
Size 7.4 MB
Tags Source
SHA-256 checksum
How to use checksums
57f6c34c2702df04cfa3191622a3db0a922ced686d35283232b00094f8914aa1
BLAKE2b-256 checksum
How to use checksums
08e94688ff2dd985f21380b9c8cd2fa8004bc0f2691f2c301082d767caea7136
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.12.9

Release files / pdfminer_six-20250327-py3-none-any.whl

Download URL pdfminer_six-20250327-py3-none-any.whl
Size 5.6 MB
Tags Python 3
SHA-256 checksum
How to use checksums
5af494c85b1ecb7c28df5e3a26bb5234a8226a307503d9a09f4958bc154b16a9
BLAKE2b-256 checksum
How to use checksums
292f409e174b5a0195aa6a814c7359a1285f1c887a4c84aff17ed03f607c06ba
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.12.9
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