datadrivenconstruction / PDF-to-Excel

This repository contains a Python script designed to extract tables from a given PDF and save them to an Excel file

📄 PDF Table Extraction to Excel 📊

Easily extract tables from PDFs and save them into Excel format. Designed specifically for Google Colab, this tool leverages the power of tabula-py to seamlessly transform your PDF tables into actionable Excel data.

🌟 Features

• Easy Extraction: Just provide the PDF link, and let the magic happen.
• Google Colab Integration: Optimized for Google Colab to make use of its free resources.
• Multi-Table Support: Extracts multiple tables and saves them in separate Excel sheets.

🚀 Getting Started

Prerequisites

• Python 3.x
• Google Colab environment
• Libraries: tabula-py, pandas

Usage

1. Clone the Repository:

   git clone https://github.com/yourusername/pdf-table-extraction.git
   cd pdf-table-extraction

2. Google Colab:

   • Upload the notebook to Google Colab.
   • Follow the step-by-step instructions within the notebook.

🔍 How It Works

1. Setup: Installs the required libraries in the Google Colab environment.
2. Fetch PDF: Downloads the specified PDF.
3. Extract: Utilizes tabula-py to extract tables from the PDF.
4. Save: The tables are then structured and saved to an Excel file.

🤝 Contributions

Feel the need to optimize the extraction or add more features? Your contributions are heartily welcome!

• Create a pull request with enhancements.
• Found a bug? Open an issue.

📃 License

This project is licensed under the MIT License - see the LICENSE.md file for details.

🙌 Acknowledgments

• tabula-py for making PDF table extraction possible.
• All contributors and testers of this project.