PDF-index is a command line tool that find important terms in a PDF document and generates a ready-to-print index.
It relies on PyPDF and NLTK libraries for extracting and mining text.
Output formats currently supported are HTML and Markdown.
It works with Python 3.
For generating an html index from the input.pdf document to output.html, selecting terms with a minimum score of 0.2:
$ python3 pdfindex.py --min-score 0.2 --format html input.pdf output.htmlWithin a virtualenv:
$ pip3 install -r requirements.txtPrint usage:
$ python3 pdfindex.py -h
usage: pdfindex.py [-h] [-m MIN_SCORE] [-f {html,markdown}] [-p PAGE_OFFSET]
input_file output_file
Extract text from a PDF file and generate a ready-to-print index
positional arguments:
input_file the PDF file
output_file the output file
optional arguments:
-h, --help show this help message and exit
-m MIN_SCORE, --min-score MIN_SCORE
the minimum tfidf score required to be included in the
index
-f {html,markdown}, --format {html,markdown}
the output format
-p PAGE_OFFSET, --page-offset PAGE_OFFSET
the start of page numbering
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