Camelot: PDF Table Parsing for Humans

Camelot is a Python library which makes it easy for anyone to extract tables from PDF files!

Usage

>>> import camelot
>>> tables = camelot.read_pdf('foo.pdf')
>>> tables
<TableList n=2>
>>> tables.export('foo.csv', f='csv', compress=True) # json, excel, html
>>> tables[0]
<Table shape=(3,4)>
>>> tables[0].parsing_report
{
    'accuracy': 96,
    'whitespace': 80,
    'order': 1,
    'page': 1
}
>>> tables[0].to_csv('foo.csv') # to_json, to_excel, to_html
>>> tables[0].df # get a pandas DataFrame!

There's a command-line interface too!

Installation

After installing dependencies, you can simply use pip:

$ pip install camelot-py

Documentation

Th documentation is available at link.

Development

The Contributor's Guide has detailed information about contributing code, documentation, tests and more. We've included some basic information in this README.

Source code

You can check the latest sources with the command:

$ git clone https://www.github.com/socialcopsdev/camelot.git

Setting up development environment

You can install the development dependencies with the command:

$ pip install camelot-py[dev]

Testing

After installation, you can run tests using:

$ python setup.py test

License

This project is licensed under the MIT License.