Song Analyzer — Free AI-Powered Music Analysis for Any Track

Automatic primary genre, subgenre, and adjacent style tagging across 40+ genres using AI audio fingerprinting.

120-dimensional emotional profiling — energy, valence, arousal, danceability, acousticness, and instrumentalness visualised as Sonic DNA.

Per-segment energy mapping across your track, revealing where listeners engage and where they might skip.

Identification of 46 instruments and production layers, from drums and bass to synths, strings, and FX.

Objective measurement of how clearly the lead vocal sits in the mix — a key factor in playlist acceptance.

Separate algorithmic fit scores for Spotify, TikTok, YouTube Music, and Apple Music — each weighted by that platform's unique ranking signals.

Validate your track before release. Know which platforms it fits best and what to fix before pitching playlists.

Give clients objective data alongside your final mix. Prove platform readiness with Production Analysis and Vocal Clarity scores.

Screen demos in under 2 minutes. Get documented pass reasons or green-light tracks with confidence.

A song analyzer uses AI to evaluate your track across dozens of audio dimensions — genre, mood, energy, instrumentation, vocal clarity, and platform fit — giving you objective data about how your song performs before you release it.

Yes. Your first track analysis is completely free. You get an Overall Score instantly. Unlock deeper platform-specific scores and the full AI A&R Report for a per-track fee — no subscription required.

SongScore accepts MP3, WAV, FLAC, and AIFF files. Most analyses complete in 60–120 seconds, delivering genre tags, mood dimensions, instrument detection, vocal clarity scores, and platform fit scores all at once.

SongScore analyses 120+ audio dimensions using proprietary AI models trained on millions of commercially released tracks. Results are benchmarked against real-world playlist acceptance and streaming performance data.

Independent artists, music producers, A&R teams, and labels all use song analyzers to validate tracks before release, compare mixes, and identify the strongest platform for each track.