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PDFMiner.six

PDFMiner.six is a fork of PDFMiner using six for Python 2+3 compatibility

Build Status PyPI version

PDFMiner is a tool for extracting information from PDF documents. Unlike other PDF-related tools, it focuses entirely on getting and analyzing text data. PDFMiner allows one to obtain the exact location of text in a page, as well as other information such as fonts or lines. It includes a PDF converter that can transform PDF files into other text formats (such as HTML). It has an extensible PDF parser that can be used for other purposes than text analysis.

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.
  • Basic encryption (RC4) support.
  • Outline (TOC) extraction.
  • Tagged contents extraction.
  • Automatic layout analysis.

How to Install

  • Install Python 2.7 or newer. (Python 3.x is supported in pdfminer.six)

  • Install

    $ pip install pdfminer.six

  • Run the following test:

    $ pdf2txt.py samples/simple1.pdf

Command Line Tools

PDFMiner comes with two handy tools: pdf2txt.py and dumppdf.py.

pdf2txt.py

pdf2txt.py extracts text contents from a PDF file. It extracts all the text that are to be rendered programmatically, i.e. text represented as ASCII or Unicode strings. It cannot recognize text drawn as images that would require optical character recognition. It also extracts the corresponding locations, font names, font sizes, writing direction (horizontal or vertical) for each text portion. You need to provide a password for protected PDF documents when its access is restricted. You cannot extract any text from a PDF document which does not have extraction permission.

(For details, refer to the html document.)

dumppdf.py

dumppdf.py dumps the internal contents of a PDF file in pseudo-XML format. This program is primarily for debugging purposes, but it's also possible to extract some meaningful contents (e.g. images).

(For details, refer to the html document.)

TODO

  • PEP-8 and PEP-257 conformance.
  • Better documentation.

Terms and Conditions

(This is so-called MIT/X License)

Copyright (c) 2004-2014 Yusuke Shinyama

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

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Python PDF Parser -- fork with Python 2+3 support using six

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