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Choose an audio file you want to classify for playlists, editing, or music discovery.
Analyze music mood, energy, valence, genre signals, and danceability from an audio file.
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MP3, WAV, FLAC, M4A - analyzes the first 60 seconds
Use the music mood detector to measure energy, valence, tension, and likely genre traits.
Choose an audio file you want to classify for playlists, editing, or music discovery.
The mood analyzer measures spectral, rhythmic, and dynamic characteristics in the recording.
Explore the primary mood, descriptive tags, energy, warmth, danceability, and genre suggestions.
Turn subjective listening impressions into a consistent set of audio descriptors.
Review energy, valence, tension, warmth, danceability, and complexity together.
Use mood tags to organize music or find audio that better matches a scene and audience.
See the measured traits behind the suggested mood rather than receiving only one label.
This page turns measured acoustic features into a heuristic mood profile. Use the six dimensions for relative comparison, not as objective emotional truth: the analyzer does not understand lyrics, cultural context, narrative intent, or individual listeners.
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Energy, valence, tension, warmth, complexity, and danceability can point in different directions. Compare their relative shape instead of treating the primary label as a verdict; a high-energy track can still sound dark or melancholic.
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Use the profile to compare recordings or shortlist music for a scene, then listen to confirm the emotional fit. The heuristic reads acoustic features, not lyrics, narrative meaning, cultural associations, or a particular listener's response.
Audio Tools
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