PDF Word Count

A script for parsing pdf files and creating a simple database (Sqlite3) pdf_file | page | word | count. It simplifies searching for occurences of words in a large collection of pdf files (for ex. if you have a large collection of pdf magazines and want to find in which one a particular word has appeared).

Getting Started

Clone the project from github:

git clone https://github.com/ultcyber/pdf_word_count

Prerequisities

The script was written for Python 3.4.3.

Besides standard library modules (collections, re, sqlite3, os), you'll need argparse and PyPDF2

Either install the modules individually (using pip or easy_install) or use requirements.txt:

pip install -r requirements.txt

Usage

Use command line to launch the script.

positional arguments:
  path                Path to the folder - type . to indicate current folder

optional arguments:
  -h, --help          show usage message and exit
  -database DATABASE  Path to the database file - if not provided, 'database.db' in the cwd is used as default
  -verbose            Asks for every folder
  -sverbose           Asks for every file

Example:

python pdf_parser.py . -sverbose

Will walk the current working directory and ask for user input (yes/no) before parsing a file.

Author

• Mateusz Trybulec - Ultcyber

License

This project is licensed under the MIT License.