Mood Detector
Guess high-level mood labels from tempo, energy, and spectral balance — a local heuristic, not AI emotion sensing.
Drop a file here or browse
MP3, WAV, FLAC, M4A, OGG — processed locally, never uploaded
Estimated mood
What it does
Mood Detector maps measurable audio features — estimated tempo, overall energy, and bright vs dark spectral balance — onto simple labels such as energetic, calm, dark, or bright.
This is not emotion recognition and not a neural model. It is a transparent heuristic so you can sort demos or sketches quickly. Two tracks with similar statistics may feel different to a listener; treat the label as a coarse tag, not a final judgment.
Processing stays on your device.
How the label is chosen
Three measurements drive the result: estimated tempo (faster tracks skew toward "energetic"), overall RMS energy (louder, denser mixes skew away from "calm"), and spectral centroid — where the brightness of the sound sits, which separates "bright" from "dark" tone. Fixed thresholds turn those three numbers into one of a small set of labels, the same way every time, so results are consistent across a batch of files.
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.
How to use it
Upload a representative clip
Use a section that reflects the overall feel of the track, not only an intro or fade-out.
Run mood analysis
The tool estimates tempo, energy, and spectral centroid, then maps them to a label.
Read the label and stats
You will see a primary mood tag plus the raw measurements used to choose it.
Compare sections
Try a verse and a drop separately if the song shifts energy dramatically.
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.
Questions about Mood Detector
01Is this AI mood detection?+
No. It uses simple signal statistics and fixed rules. There is no trained emotion model.
02Why might the label feel wrong?+
Lyrics, cultural context, and arrangement matter to humans but are invisible to this heuristic.
03Can I customize the rules?+
Not in this version. Labels are fixed for consistency across the site.
04Does the file leave my browser?+
No.
05What labels can it produce?+
A small fixed set covering combinations of energetic/calm and bright/dark, chosen for consistency rather than a large emotional vocabulary.
