beaTunes

The application provides a suite of tools for working with music files on macOS. It extracts detailed metadata such as tempo, key, color, segment boundaries, similarity scores, loudness, and acoustic fingerprints, giving users a quantitative view of each track. This analysis supports tag correction, duplicate detection, and the foundation for building playlists.

In addition to playback, the software offers “semantic navigation,” allowing listeners to jump to specific sections like choruses or skip intros based on the analysis data. It also includes a tag‑cleaning feature that identifies inconsistencies across a library and proposes fixes, acting as a specialized spell‑checker for audio metadata.

Playlist creation is assisted by rule‑based suggestions: starting from a single track, the program can recommend matching songs or generate entire playlists that match user‑defined criteria, and it can operate in a radio‑style mode that continuously plays similar tracks. The combination of analysis, cleaning, navigation, and playlist assistance targets users who manage large music collections and want data‑driven ways to organize and enjoy them.