Camelot is a Python library that enables users to extract tables from PDF files into pandas DataFrames, offering simple installation via conda or pip, code examples for reading PDFs, exporting to CSV/JSON, and handling merged cells, making PDF data extraction straightforward.
This article explains why extracting tables from PDFs is a common bottleneck, introduces the open‑source Camelot library, walks through installing Ghostscript and Camelot, shows a minimal Python script to convert PDFs to CSV, handles a typical runtime error, and demonstrates the companion Excalibur web UI for interactive extraction.
Camelot is a Python library that lets you pull tables from PDF files into Pandas DataFrames with just a few lines of code, offering a fast and reliable solution for researchers and developers who need to convert PDF‑embedded tables into usable data.
This article explains how the Python library Camelot can quickly extract tables from PDF files, convert them into pandas DataFrames, and export the data to various formats, while also covering installation options and providing a concise code example.
