pdf-namer 0.3.1

A Linux-specific tool for naming PDF files

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
• Skip files that are already correctly named
• Force processing of files even if they are already correctly named

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

To force processing of files even if they are already correctly named:

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

How it works

1. The program checks if the input is a single file or a directory.
2. For each PDF file: a. The program checks if the filename is already in the correct format (YYYY-MM-DD -- DOCUMENT_KIND - DOCUMENT_DESCRIPTION.pdf). b. If the filename is correct and the --force flag is not used, the file is skipped. c. If the filename is incorrect or the --force flag is used:
   • The text is extracted from the PDF.
   • The extracted text is sent to OpenAI's GPT model to generate a meaningful filename.
   • 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 ([e-mail])