AI Song Analyzer

Visualize the structure, tempo, and beats of any song — a complete breakdown in minutes.

Click to upload or drag and drop

MP3, WAV, FLAC, OGG, AAC, M4A (max 50MB)

or

Must be a direct link to an audio file (MP3, WAV, FLAC, etc.). YouTube and streaming links are not supported.

What Is an AI Song Analyzer?

An AI song analyzer takes a finished track and breaks it down into its musical anatomy: the structure (intro, verses, choruses, bridge), the tempo, and the beat grid. Upload a song or paste a direct link and you get a visual map of how the track is built, a beat sonification you can listen along to, and the raw analysis data as JSON.

It's the fastest way to study how a song works — for students and teachers, producers reverse-engineering an arrangement, or anyone curious what makes a track hit.

What You Get

  • Music structure visualization — a picture of the song's sections across the timeline.
  • Beat sonification — hear the detected beats layered over the track.
  • Analysis data (JSON) — the raw structure and timing data for your own tools.
  • Results saved in your dashboard for later.

Who It's For

  • Music schools, teachers, and students — teach and study arrangement with real songs.
  • Producers — reverse-engineer how a reference track is built before making your own.
  • Songwriters — compare your structure with songs that work.
  • Developers and researchers — the JSON export plugs into your own analysis.

Song Analyzer — Frequently Asked Questions

What does the analysis include?

Song structure visualization, tempo and beats, a beat sonification track, and the raw analysis data as a JSON download.

What formats can I upload?

MP3, WAV, FLAC, OGG, AAC, and M4A up to 50MB, or a direct link to an audio file.

How long does it take?

Usually 2–4 minutes for a full song. Results stay in your dashboard.

Can I use YouTube or Spotify links?

No — streaming links aren't supported. Upload the file or use a direct audio link.

Is it free?

You can create a free account and try it. Analyses use affordable credits that scale with usage.

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