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+Metadata-Version: 2.4
+Name: pdfminer.six
+Version: 20250506
+Summary: PDF parser and analyzer
+Author: Yusuke Shinyama, Pieter Marsman
+Author-email: Philippe Guglielmetti <[email protected]>
+License-Expression: MIT
+Project-URL: Homepage, https://github.com/pdfminer/pdfminer.six
+Keywords: layout analysis,pdf converter,pdf parser,text mining
+Classifier: Development Status :: 5 - Production/Stable
+Classifier: Environment :: Console
+Classifier: Intended Audience :: Developers
+Classifier: Intended Audience :: Science/Research
+Classifier: Programming Language :: Python
+Classifier: Programming Language :: Python :: 3 :: Only
+Classifier: Programming Language :: Python :: 3.9
+Classifier: Programming Language :: Python :: 3.10
+Classifier: Programming Language :: Python :: 3.11
+Classifier: Programming Language :: Python :: 3.12
+Classifier: Programming Language :: Python :: 3.13
+Classifier: Topic :: Text Processing
+Requires-Python: >=3.9
+Description-Content-Type: text/markdown
+License-File: LICENSE
+Requires-Dist: charset-normalizer>=2.0.0
+Requires-Dist: cryptography>=36.0.0
+Provides-Extra: dev
+Requires-Dist: atheris; python_version < "3.12" and extra == "dev"
+Requires-Dist: black; extra == "dev"
+Requires-Dist: mypy==0.931; extra == "dev"
+Requires-Dist: nox; extra == "dev"
+Requires-Dist: pytest; extra == "dev"
+Provides-Extra: docs
+Requires-Dist: sphinx; extra == "docs"
+Requires-Dist: sphinx-argparse; extra == "docs"
+Provides-Extra: image
+Requires-Dist: Pillow; extra == "image"
+Dynamic: license-file
+
+pdfminer.six
+============
+
+[![Continuous integration](https://github.com/pdfminer/pdfminer.six/actions/workflows/actions.yml/badge.svg)](https://github.com/pdfminer/pdfminer.six/actions/workflows/actions.yml)
+[![PyPI version](https://img.shields.io/pypi/v/pdfminer.six.svg)](https://pypi.python.org/pypi/pdfminer.six/)
+[![gitter](https://badges.gitter.im/pdfminer-six/Lobby.svg)](https://gitter.im/pdfminer-six/Lobby?utm_source=badge&utm_medium)
+
+*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](https://pdfminersix.readthedocs.io).
+
+
+Features
+--------
+
+* Written entirely in Python.
+* Parse, analyze, and convert PDF documents.
+* Extract content as text, images, html or [hOCR](https://en.wikipedia.org/wiki/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 3.9 or newer.
+* Install pdfminer.six.
+  ```bash
+  pip install pdfminer.six
+
+* (Optionally) install extra dependencies for extracting images.
+
+  ```bash
+  pip install 'pdfminer.six[image]'
+
+* Use the command-line interface to extract text from pdf.
+
+  ```bash
+  pdf2txt.py example.pdf
+
+* Or use it with Python. 
+  ```python
+  from pdfminer.high_level import extract_text
+
+  text = extract_text("example.pdf")
+  print(text)
+  ```
+
+Contributing
+------------
+
+Be sure to read the [contribution guidelines](https://github.com/pdfminer/pdfminer.six/blob/master/CONTRIBUTING.md). 
+
+Acknowledgement
+---------------
+
+This repository includes code from `pyHanko` ; the original license has been included [here](/docs/licenses/LICENSE.pyHanko).