core-pdfminer.six

We fathom PDF

Core-pdfminer.six is a performance-focused fork of pdfminer.six. It extracts information from PDF documents, with a focus on text data, while retaining the familiar pdfminer.six API design under the core_pdfminer_six namespace.

It is modular, so individual components can be replaced. You can implement your own interpreter or rendering device for uses beyond 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 core-pdfminer.six.

  pip install core-pdfminer.six
  

• (Optionally) install extra dependencies for extracting images.

  pip install 'core-pdfminer.six[image]'
  

• Use the command-line interface to extract text from pdf.

  pdf2txt.py example.pdf
  

• Or use it with Python.

  from core_pdfminer_six.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

Acknowledgement

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