Colibrie

Colibrie is a blazing fast tool to extract tables from PDFs

Why Colibrie?

• Efficient: Colibrie is faster by multiple order of magnitude than any actual existing solution
• Fidel visual: Colibrie can provide 1:1 HTML representation of any tables it'll find
• Reliable: Colibri will find every valid tables without exception if the PDF is compatible with the core principle of Colibrie
• Output: Each table can be export into to multiple formats, which include :
  • Pandas Dataframe.
  • HTML.

Benchmark :

Some number to compare Camelot (a popular library to extract tables from PDF) and Colibrie

Current limitation

• Colibrie only works with text-based PDFs and not scanned documents. (As Tabula explains, "If you can click and drag to select text in your table in a PDF viewer, then your PDF is text-based".)
• For the moment Colibrie doesn't work on PDF with tables that has no structural lines (like this one or this one ) but it can handle a few missing lines (like this one or this one)

Installation

using source

pip install poetry

git clone https://github.com/abitoun-42/colibrie.git

cd colibrie

poetry install

using pip

pip install colibrie

Usage

PDF used in example : example.pdf

from colibrie.extract_tables import extract_table

tables = extract_table('example.pdf')

for table in tables:
   print(table.to_html())
   df = table.to_df()

Output :