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A Linux-specific tool for naming PDF files

Project description

PDF Namer

PDF Namer is a Python CLI application that processes PDF documents and renames them based on AI-generated descriptions. This tool is designed to help organize and manage collections of PDF documents by extracting meaningful information and creating standardized filenames.

Features

  • Process single PDF files or entire directories recursively
  • Generate meaningful filenames using OpenAI's GPT models
  • Multiprocessing support for faster batch processing
  • Customizable number of worker processes
  • Language selection for filename generation

Installation

  1. Clone this repository:

    git clone https://github.com/llabusch93/pdf-namer.git
    cd pdf-namer
    
  2. Create a virtual environment and activate it:

    python -m venv venv
    source venv/bin/activate  # On Windows, use `venv\Scripts\activate`
    
  3. Install the required dependencies:

    pip install -r requirements.txt
    
  4. Set up your OpenAI API key as an environment variable:

    export OPENAI_API_KEY=your_api_key_here
    

Usage

To process a single PDF file:

pdf-namer /path/to/your/file.pdf

To process all PDF files in a directory recursively:

pdf-namer /path/to/your/directory

To specify the number of worker processes:

pdf-namer /path/to/your/directory --workers 5

To specify the language for filename generation:

pdf-namer /path/to/your/file.pdf --language english

How it works

  1. The program checks if the input is a single file or a directory.
  2. For each PDF file: a. The text is extracted from the PDF. b. The extracted text is sent to OpenAI's GPT model to generate a meaningful filename. c. The file is renamed using the generated filename.
  3. If processing a directory, multiple files are processed concurrently using Python's multiprocessing module.

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

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

Author

Laurence Labusch (laurence.labusch@gmail.com)

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