AI PDF Parser into a Structured Data

This project is a Jupyter Notebook for parsing text from PDF files using Python. It utilizes the PyMuPDF library for extracting text and the openai library for any subsequent processing.

Table of Contents

• Installation
• Usage
• Features
• Contributing
• License

Installation

To use this project, you need to have Python installed on your system. You can install the required libraries using pip.

pip install pymupdf openai python-dotenv

Usage

1. Clone the repository:

   git clone <repository-url>
   cd <repository-directory>

2. Set up your environment: Create a .env file in the root directory of the project and add your OpenAI API key:

   OPENAI_KEY=your_openai_api_key
   

3. Run the Jupyter Notebook:

   jupyter notebook pdf_parser.ipynb

4. Extract text from a PDF: Follow the instructions in the notebook to load a PDF file and extract text from it.

Features

• Extract text from PDF files.
• Simple and easy-to-use interface.
• Integration with OpenAI API for additional text processing (e.g., summarization, translation).

Contributing

Contributions are welcome! Please follow these steps:

1. Fork the repository.
2. Create a new branch: git checkout -b my-feature-branch.
3. Make your changes and commit them: git commit -m 'Add some feature'.
4. Push to the branch: git push origin my-feature-branch.
5. Submit a pull request.

License

This project is licensed under the MIT License. See the LICENSE file for details.