We don’t just hear the music;
we understand it emotionally.
What is
Emotional AI?
Emotional AI is a field of artificial intelligence that analyses and interprets human emotions. At MusiMap.ai, we apply this science to music — not by looking at what people listen to, but how it makes them feel.
Traditional music tagging focuses on technical attributes (tempo, key, instruments). Emotional AI goes deeper, capturing the psychological and emotional resonance embedded in every track — the moods, contexts, themes, intentions and human reactions that shape people’s connection to music.
Why emotion matters in music
Music is one of the most powerful emotional triggers in human life. It shapes memory, behaviour, attention, and decision-making — including what people watch, buy, or return to.
In the music industry today, billions of listening decisions happen every day. Yet much of this activity is driven by emotion, not by genre or artist name. This gap between how music is classified and how it is actually experienced is what emotional AI solves.
A selection of moods, genres and situations
Alternative Rock
Free
Autumn
Running
Atmospheric
Energetic
Melancholic
Uplifting
Dark
Peaceful
Aggressive
Dreamy
Intense
Chill
Dramatic
Euphoric
Somber
Playful
Romantic
Mysterious
Nostalgic
Hopeful
Tense
Serene
Epic
Groovy
Reflective
Powerful
The largest emotional annotation database
Our emotional AI analyses both audio and lyrics with
over 125 million emotionally tagged tracks.
Human Annotation at Scale
Over 1.1 million tracks were meticulously analysed and tagged by expert musicologists. For each emotion, mood, situation or genre, the team created 2,000+ manual examples — forming one of the most rigorous emotional training datasets in the world.
Advanced Machine Learning
Our models learn from these expert annotations to analyse millions of tracks automatically, achieving 98% accuracy for Western music.
Non-intrusive Listener Profiling
With anonymised data from streaming platforms, our AI interprets not only the emotional qualities of songs, but also the emotional patterns of listeners — without ever needing personal data.
Why Emotional AI changes everything
Emotional AI enables businesses to finally treat music
as emotional data — helping them understand:
How a song feels, not just what it sounds like
Why listeners gravitate toward certain moods
What patterns reveal about people’s behaviour
Which music drives attention, loyalty and satisfaction
For the first time, companies can bridge the gap between music
emotion, audience emotion, and real-world outcomes.
Explore MusiTag
Upload a track and MusiTag reveals its full emotional profile within moments.
Discover how deep tagging powers better discovery, curation and audience engagement.