AI song rater for tracks you actually want to release.

You upload an MP3, WAV, or M4A file. Our ML pipeline analyzes the raw audio waveform and scores it with four model factors: Production Quality, Catchiness, Distinctiveness, and Genre Competitiveness. The page then shows an overall score plus three readable summaries: Sound Quality, Hit Potential, and Broad Appeal. On top of that, an AI model analyzes your song segment by segment (intro, verse, chorus, bridge, outro) and gives you specific, actionable feedback on what's working and what to fix. The whole process takes about 30 seconds.

RMS provides a dedicated workflow for an uploaded recording: score breakdowns, written feedback tied to sections, and linked revisions. When comparing reviews, use the same audio and a clear question, then check the recommendations against what you can hear and change.

Your overall score (0–100) comes from a four-factor audio model: Production Quality, Catchiness, Distinctiveness, and Genre Competitiveness. The result page also shows three readable summaries: Sound Quality, Hit Potential, and Broad Appeal. The current headline score is weighted most toward Genre Competitiveness. A score in the 30s–40s is typical for a first upload. Scores above 60 indicate stronger production and composition. The summaries show which areas are pulling the score up or down, so you know where to focus your effort.

The scoring pipeline doesn't rate "how AI-generated" your track sounds. It evaluates the audio on the same dimensions that matter whether a human or an AI made it: sound quality, hook strength, broad listener appeal, and overall competitiveness. A track with muddy low-end scores lower on Sound Quality than one with a clean mix, regardless of how it was made. The ML models are trained on real music data and measure actual audio properties from the waveform, not metadata about the creation process.

Yes. You can rate my music with AI by uploading an MP3, WAV, or M4A. The AI music rater analyzes the audio itself and returns a repeatable 0–100 rating, section-level feedback, and prioritized fixes. You can also use it to rate my track, beat, or mix.

You get 15 free credits when you sign up, no credit card required—enough for three Deep ratings. Deep ratings cost 5 credits, Fast ratings cost 3, and revisions cost 1. When your credits run out, add a one-time credit pack or choose the separate Songbird workflow.

Most "AI song raters" are thin wrappers around ChatGPT: they send your filename or a text description to an LLM and return a generic response. They can't actually hear your music. Rate My Song AI runs your audio through a dedicated ML pipeline that produces consistent, repeatable scores from the actual waveform. You also get segment-by-segment analysis, prioritized fixes, and revision tracking so you can upload a new version and see exactly how your score changed. No other tool does this.