Skip to main content

PDF parser and analyzer

Project description

pdfminer.six

Build Status 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 build in a modular way such that each component of pdfminer.six can be replaced easily. You can implement your own interpreter or rendering device to use the power of pdfminer.six for other purposes that text analysis.

Check out the full documentation on Read the Docs.

Features

  • Written entirely in Python.
  • Parse, analyze, and convert PDF documents.
  • 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 and Bitmaps).
  • 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 3.6 or newer (3.4 and 3.5 are deprecated)

  • Install

    pip install pdfminer.six

  • Use command-line interface to extract text from pdf:

    python pdf2txt.py samples/simple1.pdf

Contributing

Be sure to read the contribution guidelines.

Project details


Download files

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

Files for pdfminer.six, version 20201018
Filename, size File type Python version Upload date Hashes
Filename, size pdfminer.six-20201018-py3-none-any.whl (5.6 MB) File type Wheel Python version py3 Upload date Hashes View
Filename, size pdfminer.six-20201018.tar.gz (7.3 MB) File type Source Python version None Upload date Hashes View

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring DigiCert DigiCert EV certificate Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page