Community maintained fork of pdfminer - we fathom PDF
 
 
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Eduardo Gonzalez Lopez de Murillas ea00f56ac6
Added support for Paeth PNG filter compression (predictor value = 4) (#537)
* Added support for Paeth PNG filter compression (predictor value = 4)

* Use `above` and `upper_left` as in the pseudo code

* Refactor: use variable names that are very close to the pseudo code and add pieces of the docs to show what is going on.

* Fix line length issues

* Add line about compressions to README.md

* Fix merge conflict on readme

* Fix bug in filter type Up

* Make if-else consistent

Co-authored-by: Eduardo Gonzalez Lopez de Murillas <eduardo.gonzalez@accha.nl>
Co-authored-by: Pieter Marsman <pietermarsman@gmail.com>
2021-08-26 20:53:13 +02:00
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README.md

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 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.
  • 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 3.6 or newer.

  • 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.