Pdfminer.six.one has some improvements such as advanced paragraphs detection and alignments, paddings and margins calculation

• Added text style analyses for grouping lines algorithm
• Added lines, rects and other objects analyses for grouping lines algorithm
• LAParams.line_margin can be greater for better grouping lines result, recommended value is 4.
• LAParams.NeighborMatcher can be used for custom final neighbors detection, for example NeighborMatcher can use AI or NLTK for accepting or declining text lines grouping

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.

• 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.

• 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)

Be sure to read the contribution guidelines.

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