Know Exactly What to Fix Before You Submit

Track analysis is the process of measuring the technical and musical qualities of a song before you release it. MusicPulse runs your audio through two engines at the same time. A signal processing engine measures loudness (LUFS, following the ITU-R BS.1770 standard used by Spotify and Apple Music), clipping, stereo width, frequency balance and low-mid mud. In parallel, a musical AI listens to the track itself and identifies BPM, key, genre and mood.

The two reports are then combined by a reasoning model that reads the numbers in context. A -8 LUFS master means one thing for a techno club track and something very different for an acoustic ballad. That is why every score MusicPulse gives you is genre-aware: your track is judged against the standards of its own genre, not against a generic average.

The result is a clear, actionable report: an overall score, production quality, mix balance, and a list of concrete fixes ranked by impact. No audio engineering degree required to read it.

Streaming platforms normalize loudness. If your track is mastered too hot, Spotify simply turns it down and all you keep is the distortion. If it clips, phones and earbuds make it worse. If the low mids are muddy, your mix sounds amateur next to the professional tracks the algorithm queues before and after yours.

Curators hear hundreds of submissions a week and skip a track in the first seconds when something feels off. An analysis catches those issues while you can still fix them: before the upload to your distributor, before the playlist pitch, before the ad budget. Analyzing a track costs 10 credits, and every new account starts with 30 free credits, so you can test your current single right now.

A pre-master and a finished master should not be judged with the same thresholds. MusicPulse asks you where the track is in its life and adjusts every expectation accordingly: headroom targets for a mix that still needs mastering, loudness and true peak targets for a master heading to streaming.

You can re-analyze after each revision and compare scores over time, or upload a reference track and see side by side where yours differs. Producers use this loop the way writers use spellcheck: not as a judge, but as a fast, objective second pair of ears available at 3am.

An analysis is only useful if it changes what you do next. A commercial-ready score tells you the track can go straight to matching and pitching. A low mix balance score with specific frequency flags tells you to fix the mix before spending a single credit on promotion. A loudness far from genre norms tells you to master, or re-master, first.

This is why analysis sits at the entrance of the MusicPulse workflow. Every other tool reads its output: playlist matching uses the detected genre and BPM to score compatibility, the pitch generator quotes the track's real attributes, cover art generation follows its mood, and mastering calibrates to its current state. Ten credits buy the data layer everything else stands on.