Metadata-Version: 2.1
Name: pdf2textbox
Version: 0.3.5
Summary: A PDF-to-text converter based on pdfminer2
Home-page: https://github.com/0LL13/pdf2textbox
Author: Oliver Stapel
Author-email: hardy.ecc95@gmail.com
License: MIT
Project-URL: Bug Reports, https://github.com/0LL13/pdf2textbox/issues
Project-URL: Source, https://github.com/0LL13/pdf2textbox
Description: ========
        Overview
        ========
        
        .. start-badges
        
        .. list-table::
            :stub-columns: 1
        
            * - docs
              - |docs|
            * - tests
              - | |travis|
            * - package
              - | |version| |supported-versions| |supported-implementations|
            * - license
              - | |license|
        
        .. |travis| image:: https://travis-ci.org/0LL13/pdf2textbox.svg?branch=master
            :target: https://travis-ci.org/0LL13/pdf2textbox
            :alt: Travis-CI Build Status
        
        .. |license| image:: https://img.shields.io/cocoapods/l/AFNetworking.svg
            :alt: CocoaPods
        
        .. |docs| image:: https://readthedocs.org/projects/pytest-cov/badge/?style=flat
            :target: https://readthedocs.org/projects/pdf2textbox
            :alt: Documentation Status
        
        .. |version| image:: https://img.shields.io/pypi/v/pdf2textbox.svg
            :alt: PyPI Package latest release
            :target: https://pypi.python.org/pypi/pdf2textbox
        
        .. |supported-versions| image:: https://img.shields.io/pypi/pyversions/pdf2textbox.svg
            :alt: Supported versions
            :target: https://pypi.python.org/pypi/pdf2textbox
        
        .. |supported-implementations| image:: https://img.shields.io/pypi/implementation/pdf2textbox.svg
            :alt: Supported implementations
            :target: https://pypi.python.org/pypi/pdf2textbox
        
        .. end-badges
        
        
        
        pdf2textbox
        ============
        
        A PDF-to-text converter based on pdfminer2 (which is based on
        pdfminer.six which is based on pdfminer).
        Converts PDF files with up to 3 columns and a header (optional)
        to text and avoids most caveats that multi-columned PDF files have
        in store for PDF conversion.
        
        
        Features
        --------
        
        Convert PDF to text in the original order. This works well for PDF-files
        without tables, graphs, and other stuff.
        
        Allows command line parameter -s (--slice) to indicate that only part of
        the PDF document is of interest. Start and end page will then be either
        retreived from the document's name using '_' or '|' as delimiters or -
        if start and end page cannot be found - user input is requested.
        
        
        Installation
        ------------
        
            pip install pdf2textbox
        
        
        Contribute
        ----------
        
        - Issue Tracker: https://github.com/0LL13/pdf2textbox/issues
        - Source: https://github.com/0LL13/pdf2textbox
        
        Support
        -------
        
        Feel free to fork and improve.
        
        Warranty
        --------
        
        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, TITLE AND NON-INFRINGEMENT. IN NO EVENT SHALL
        THE COPYRIGHT HOLDERS OR ANYONE DISTRIBUTING THE SOFTWARE BE LIABLE FOR ANY
        DAMAGES OR OTHER LIABILITY, WHETHER IN CONTRACT, TORT OR OTHERWISE, ARISING
        FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS
        IN THE SOFTWARE.
        
        License
        -------
        
        MIT License
        
        Copyright (c) 2018 Oliver Stapel
        
Keywords: PDF pdfminer2 PDFconversion text-processing
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Operating System :: POSIX :: Linux
Classifier: Topic :: Text Processing :: General
Provides-Extra: test
Provides-Extra: dev
