State of the art AI that analyzes your song's structure

Song Analyzer AI is a browser-based analysis tool that uses machine learning to extract musical structure from audio files. It identifies tempo (BPM), musical key, beat and downbeat positions, and labeled sections with timestamps. The result is a clear overview of how a track is organized over time.
The tool is designed for users who need accurate timing and form information without installing desktop software. Typical users include DJs, music producers, educators, and music enthusiasts who want to understand and work with a song’s internal structure.
| Item | Details |
|---|---|
| Inputs | Upload audio via drag-and-drop or file chooser |
| Analyses | BPM detection; musical key detection; beat and downbeat tracking; section segmentation; arrangement pattern identification |
| Outputs | Timestamps for beats, downbeats, and sections; structure map/pattern; counts for beats and downbeats |
| Supported Formats | MP3, WAV, FLAC, OGG, M4A, AAC |
| Access | 3 free analyses included; see pricing for more: https://songanalyzer.ai/pricing |
Users upload an audio file directly in the browser. The system supports widely used formats and begins processing upon upload. No local installation or plugin is required.
The analysis pipeline estimates tempo and key, constructs a beat grid with beat and downbeat timestamps, and segments the track into labeled sections. It then identifies the arrangement pattern across the timeline. Results are presented as readable lists and visual patterns, helping users locate structural points quickly.