Mood Detector

What it does

Mood Detector builds a local acoustic mood profile from the first 60 seconds of an audio file. It combines estimated tempo and rhythmic strength with loudness and spectral characteristics, then maps those measurements into six dimensions: energy, valence, tension, warmth, complexity, and danceability.

The result is a dominant character such as Energetic, Euphoric, Happy, Relaxed, Calm, Melancholic, Dark / mellow, or Aggressive, together with a match score, mood signals, likely genre cues, and the underlying six-dimensional profile. This makes the result useful for quickly sorting demos, comparing recordings, or finding tracks with a similar sonic feel.

This is not emotion recognition or a trained neural model. It is a transparent heuristic: lyrics, cultural context, narrative meaning, and individual listener response are outside the analysis. Processing stays on your device, so the audio itself is not uploaded for the mood calculation.

How the profile is chosen

Tempo and rhythmic consistency help describe energy and danceability, while RMS level, spectral balance, low-frequency weight, and spectral variation contribute to the other dimensions. The measurements are normalized and combined with fixed rules so the same recording receives the same profile each time.

Good uses for a mood tag

Quickly sorting a folder of demos, tagging sample packs, or getting a rough first pass before manually curating a playlist are all reasonable uses. It is not a substitute for listening when the decision matters — genre, lyrics, and arrangement carry emotional information that a signal-level heuristic cannot see.

Check the numbers behind the label with the BPM Detector, or shape brightness yourself with the Audio Equalizer.

How to use it

Tip: If a track changes mood midway (a quiet intro building into a loud drop), run the detector on each section separately rather than expecting one label to describe the whole song.