An implementation of Shazam's song matching algorithm.

Questions & Answers

What is SeekTune?

SeekTune is an open-source implementation of Shazam's song recognition algorithm, designed to identify music by matching audio fingerprints. It integrates with Spotify and YouTube APIs for song discovery and downloading.

Who is SeekTune designed for?

SeekTune is primarily for developers, audio engineers, and enthusiasts interested in understanding and implementing audio fingerprinting and song recognition technologies. It serves as a practical example for those exploring music identification systems.

How does SeekTune compare to commercial music recognition services like Shazam?

SeekTune is a self-hosted, open-source project providing an educational and functional implementation of the core algorithm. Unlike commercial services, it requires manual setup, API credentials, and database management, offering transparency and control over the recognition process rather than a turnkey solution.

When would someone use SeekTune?

SeekTune is useful for learning about audio fingerprinting, building custom music identification systems, or managing a local music library with advanced matching capabilities. It allows users to download and fingerprint their own songs into a database for later recognition.

What database options does SeekTune support?

SeekTune uses SQLite as its default database for storing fingerprints and song metadata. Users have the option to configure it to use MongoDB by setting specific environment variables, offering flexibility for larger-scale or distributed deployments.