loongson/pypi/: pdfminer-six-20221105 metadata and description

PDF parser and analyzer

author	Yusuke Shinyama + Philippe Guglielmetti
author_email	pdfminer@goulu.net
classifiers	Programming Language :: Python Programming Language :: Python :: 3.6 Programming Language :: Python :: 3.7 Programming Language :: Python :: 3.8 Programming Language :: Python :: 3.9 Programming Language :: Python :: 3 :: Only Development Status :: 5 - Production/Stable Environment :: Console Intended Audience :: Developers Intended Audience :: Science/Research License :: OSI Approved :: MIT License Topic :: Text Processing
description_content_type	text/markdown
keywords	pdf parser,pdf converter,layout analysis,text mining
license	MIT/X
provides_extras	image
requires_dist	charset-normalizer (>=2.0.0) cryptography (>=36.0.0) typing-extensions ; python_version < "3.8" pytest ; extra == 'dev' nox ; extra == 'dev' black ; extra == 'dev' mypy (==0.931) ; extra == 'dev' sphinx ; extra == 'docs' sphinx-argparse ; extra == 'docs' Pillow ; extra == 'image'
requires_python	>=3.6

Because this project isn't in the mirror_whitelist, no releases from root/pypi are included.

File	Tox results	History
pdfminer.six-20221105-py3-none-any.whl Size 5 MB Type Python Wheel Python 3		Uploaded to loongson/pypi by loongson 2023-11-06 09:20:38

pdfminer.six

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.
Extract content as text, images, html or hOCR.
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 pdfminer.six.

pip install pdfminer.six
(Optionally) install extra dependencies for extracting images.

pip install 'pdfminer.six[image]'
Use the command-line interface to extract text from pdf.

pdf2txt.py example.pdf
Or use it with Python.

from pdfminer.high_level import extract_text

text = extract_text("example.pdf")
print(text)

Contributing

Be sure to read the contribution guidelines.

Acknowledgement

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