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🎵 Metasong - Audio Metadata Extractor

This Python script extracts metadata and lyrics from audio files in an album folder (MP3 format) and saves them to JSON files. It utilizes multiprocessing for parallel processing, making it efficient for handling a large number of audio files.

This project is used on: https://metasong-front.vercel.app/

Features

  • Extracts metadata such as track number, title, authors, album, year, duration, artwork description, and sentiment analysis. (Powered by OpenAI's GPT-3.5 Turbo API and GPT-4 Vision API.)
  • Retrieves lyrics from audio files using the Genius API.
  • Utilizes multiprocessing to process audio files in parallel, improving performance.

Requirements

  • Python 3.x
  • External dependencies (check requirements.txt for details)
  • OpenAI API key (GPT-3.5 Turbo and GPT-4 Vision a.k.a. you need to pay for this service.)
  • Genius API access token

Installation

Clone the repository:

git clone https://github.com/mxmarchal/metasong.git

Install dependencies:

cd metasong
pip install -r requirements.txt

Create a .env file in the project directory and set the following environment variables:

OPENAI_API_KEY=your_openai_api_key
GENIUS_ACCESS_TOKEN=your_genius_access_token

Usage

python main.py <path_to_album_folder>

Replace path_to_album_folder with the path to the folder containing the audio files (MP3 format) you want to process.

Example

python main.py /path/to/album

Contributing

I won't be accepting any pull requests for this project. This is a personal project and I'm not looking for contributions at the moment.

You are welcome to fork the project and customize it to your needs.

License

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