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 3.9 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.

Metadata

Release files for pdfminer.six 20251107

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 20251107
File Size Uploaded Provenance
pdfminer_six-20251107.tar.gz 7.4 MB Without provenance Details

Built distribution (wheel)

Table of built distributions (wheels) for pdfminer.six 20251107
File Interpreter ABI Platform
pdfminer_six-20251107-py3-none-any.whl Python 3 none any Details

Total release size: 13.0 MB

Release files / pdfminer_six-20251107.tar.gz

Download URL pdfminer_six-20251107.tar.gz
Size 7.4 MB
Tags Source
SHA-256 checksum
How to use checksums
5fb0c553799c591777f22c0c72b77fc2522d7d10c70654e25f4c5f1fd996e008
BLAKE2b-256 checksum
How to use checksums
1d505315f381a25dc80a8d2ea7c62d9a28c0137f10ccc263623a0db8b49fcced
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.13.7

Release files / pdfminer_six-20251107-py3-none-any.whl

Download URL pdfminer_six-20251107-py3-none-any.whl
Size 5.6 MB
Tags Python 3
SHA-256 checksum
How to use checksums
c09df33e4cbe6b26b2a79248a4ffcccafaa5c5d39c9fff0e6e81567f165b5401
BLAKE2b-256 checksum
How to use checksums
6429d1d9f6b900191288b77613ddefb73ed35b48fb35e44aaf8b01b0422b759d
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.13.7

Security for pdfminer.six 20251107

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

Release history Release notifications | RSS feed

This release

20251107 This release

2 release files No provenance

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