Is a song hopeful or melancholy, tense or relaxed, euphoric or just busy? Upload a track and the music mood analyzer names its overall mood, rates the emotional intensity, and maps how the feeling changes from intro to outro. It does not stop at a label. The report connects the mood to what you can hear: tempo, major or minor tonality, harmony, instrumentation and dynamics. It predicts how listeners are likely to respond, notes which genres typically use that mood, and compares the track with songs that usually sit in the same emotional space. That makes it useful when you need to choose, tag or write music to match a feeling.
Example result
Input
A three-minute instrumental piano and strings piece a video editor is considering for a documentary ending.
Output
Overall mood: bittersweet and reflective, leaning hopeful by the end. Emotional tone: gentle sadness in the opening piano, warmed by the strings. Mood changes: 0:00 to 1:10 is quiet and introspective. From 1:10 the cello line enters and intensity rises steadily. The last minute shifts to a major-key resolution that reads as acceptance rather than grief. Musical elements: slow tempo around 68 BPM, minor-key opening with suspended chords, sparse left hand, swelling string dynamics. Listener response: likely to feel moved and calm rather than upset; it suits reflective endings. Comparable tracks: modern neoclassical and cinematic piano pieces.
Scores
How it works
How Music Mood Analyzer works
- 01
Upload the track
Sign in, open the tool and upload a song, cue or loop, or record one in the browser. You can choose which AI model analyzes it.
- 02
Read the emotional tone
The AI weighs how positive or dark the music feels against how energetic or calm it is, and names the mood in plain words such as wistful, triumphant or uneasy.
- 03
Trace the mood over time
It follows the track section by section, noting where intensity builds or drops and whether the mood stays consistent or turns, for example a gloomy verse that opens into a bright chorus.
- 04
Explain the musical causes
Finally it links the mood to tempo, key, harmony, texture and production, predicts the listener response, and places the track among typical songs of that mood.
Use cases
Who it is for
Video editors and filmmakers
Check that a cue really carries the emotion a scene needs, and see at which timestamp the mood turns so you can line the cut up with it.
Playlist curators
Tag tracks by mood and intensity to build coherent playlists for studying, workouts or winding down, and spot songs whose feel does not match their genre.
Composers and producers
Compare the mood you intended with the mood the track projects, and see which element (a minor chord, a slow tempo, a sparse arrangement) is pulling it in the wrong direction.
Music library and sync submissions
Write accurate mood descriptions and keywords for a catalog, based on an outside reading rather than your own attachment to the piece.
Tips
Get better results
- Upload the whole track when you care about how the mood develops; a 20-second excerpt will only describe that moment.
- Remember that lyrics also shape mood. If the words and music pull in opposite directions, run the lyrics through the lyric analysis tool too.
- Compare two versions of the same song, such as the album cut and an acoustic take, to hear how arrangement alone changes the feeling.
- For a scene, note the timestamps where the report says intensity rises and check them against your edit.
Limitations
What it can't tell you
Mood in music is partly personal and cultural. The analysis describes the emotions the music most commonly conveys to listeners familiar with Western popular and film music, based on what the AI hears, and it cannot know what a song means to you. Intensity ratings are relative estimates, not physiological measurements. Songs with ironic contrast, like upbeat music under sad lyrics, may be read mainly from the sound.
Frequently Asked Questions
Music Mood Analyzer questions
What mood is this song?
Upload it and the analyzer returns a named overall mood with an intensity rating, plus a breakdown of how the mood changes through the track. Because it explains which musical elements create the feeling, you can judge whether you agree with the reading instead of taking a single label on trust.
How is the mood of a song determined?
Mostly by tempo, tonality, harmony, rhythm, timbre and dynamics working together. Fast tempos and bright major harmonies tend to sound happy or energetic, while slow tempos, minor keys and dark timbres tend toward sadness or calm. The report names which of these are doing the work in your track.
What are the common music moods?
Common labels include happy, sad, energetic, calm, romantic, dark, tense, dreamy, nostalgic, triumphant and aggressive. Many songs mix two, like bittersweet or anxious excitement. The analyzer uses whichever words fit best and can report blended moods with their relative weight.
Does a minor key always mean a sad song?
No. Minor keys lean darker, but plenty of dance tracks are in minor keys and still feel energetic, because fast tempo and driving rhythm push the mood toward excitement. The song mood analyzer considers the whole picture, not just major or minor.
Can it analyze instrumental music and soundtracks?
Yes. It reads mood from the music itself, so instrumentals, film cues, game music and ambient tracks all work. With vocal songs, the vocal delivery is part of the sound it hears, though the report focuses on the music.
How do I access the music mood analyzer?
It is part of LindaleAI's AI toolkit on a paid plan. Each track you analyze uses credits from the plan's monthly amount; see the pricing page for the choices.
Related tools
You might also need
Music Genre Classifier
Deep genre classification with sub-genres and style analysis
Lyric Analysis
Analyze themes, sentiment, and meaning in lyrics
AI Music Prompt Generator
Generate AI music generation prompts based on audio analysis
Music Analyzer
Analyze musical content including genre, tempo, key, instruments, and structure
Key Finder
Find the musical key and mode (major or minor) of a song from an audio file
Sentiment Analyzer
Analyze emotional tone, sentiment, and mood from voice characteristics and content
Music Mood Analyzer uses credits from a paid LindaleAI plan. See pricing