Auto ML - PDF Table Extraction

 Auto ML - PDF Table Extraction

Image: excalibur-py.readthedocs.io

Extracting tables from PDFs is not easy. Simple copy and paste from a PDF don't preserve table structure. Hence automatically detecting the structure and preserving the format is critical. Machine Learning come to rescue here as well. Let us see some of the Python libraries available for this task

Excalibur: It is a web interface to extract tabular data from PDFs. It is powered by Camelot. It only works with text-based PDFs and not scanned documents.

PDF Table Extraction: It is a parser to extract the table in PDF document with RetinaNet

Camelot: It is a Python library and a command-line tool that makes it easy for anyone to extract data tables trapped inside PDF file

Tabula: It is a free tool for extracting data from PDF files into CSV and Excel files. Tabula only works on text-based PDFs, not scanned documents.

PDF Plumber: Plumb a PDF for detailed information about each text character, rectangle, and line. Plus: Table extraction and visual debugging.

Additional Links / Comparison

PDF Pages: A python package that extracts pages from PDF documents and writes them to a fresh PDF


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