Genre Profile
Latin music is characterized by high energy that drives the music forward with force and momentum, with a median energy of 75.8%. The genre carries predominantly electronic production (9.0% acousticness), built on synthesized sounds and digital textures. Instrumentalness sits at 0.0%, while danceability registers at 76.0% — making it highly danceable. The emotional tone is bright, happy, and emotionally uplifting, with valence at 65.3%. Speechiness is minimal at 5.9%.
The typical latin track moves at a moderate tempo that sits comfortably in walking-pace territory of 114.7 BPM (±23.8). Tonally, C#/Db is the most common key (16 of 100 tracks), and 52% of tracks are in a minor key — showing a fairly even split between light and dark tonalities.
The genre's sonic identity is shaped by artists like Ozuna, Bad Bunny, Enrique Iglesias alongside Daddy Yankee, Shakira. The typical track runs about 3.4 minutes, optimized for streaming attention spans.
Production-wise, latin sits at a median loudness of -4.9 dB — heavily compressed and maximally loud, typical of genres competing for streaming attention. Whether you're producing in the genre or analyzing it for AI music generation, these numbers provide a precise target for capturing the authentic latin sound.
Prompt Lab
How to Prompt a Hit
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BPM 98-130: passionate pace Energy 63-83%: passionate, rhythmic Valence 51-71%: passionate, rhythmic, warm, celebratory Danceability 69-79%: latin groove Acousticness 3-23%: congas textures Instrumentalness -8-11%: Focus on congas Speechiness 9-19%: Clean latin passages Tempo: passionate to moderate Key preference: C#/Db, B, warm keys
Create a latin track with: • congas foundation (114 BPM) • latin pop-inspired timbales • passionate congas patterns • acoustic guitar brass section • rhythmic production style • salsa sound design • Moderate energy (73%), passionate mood (61%) • latin arrangement (1%), congas elements (13%) Artists to reference: Ozuna, Bad Bunny, Enrique Iglesias, Daddy Yankee, Shakira, J Balvin Duration: 3-4 minutes, perfect for celebratory listening
{
"genre": "latin",
"audio_features": {
"bpm": {"min": 77, "max": 179, "median": 114},
"energy": {"avg": 0.735, "range": "passionate"},
"valence": {"avg": 0.611, "range": "passionate, rhythmic, warm, celebratory"},
"danceability": {"avg": 0.745, "range": "latin groove"},
"acousticness": {"avg": 0.131, "range": "congas/organic"},
"instrumentalness": {"avg": 0.014, "range": "focus on congas"},
"key_preference": ["C#/Db", "B", "C"],
"mode_preference": {"major": 48.0, "minor": 52.0}
},
"production_style": {
"instruments": ["congas", "timbales", "acoustic guitar", "brass section", "bongos"],
"style_tags": ["latin", "latin pop", "salsa", "cumbia", "bachata"],
"mood_descriptors": ["passionate", "rhythmic", "warm", "celebratory"],
"tempo_category": "passionate_to_moderate"
},
"reference_artists": ["Ozuna", "Bad Bunny", "Enrique Iglesias", "Daddy Yankee", "Shakira", "J Balvin", "Luis Fonsi", "Farruko"],
"track_characteristics": {
"typical_length": "3-4 minutes",
"listening_context": " celebratory listening",
"production_focus": "congas foundation"
}
}}
Audio DNA
Key finding: Six audio features define latin's fingerprint: Danceability leads at 76.0%, while Instrumentalness sits at just 0.0% — a genre defined as much by what it lacks as what it contains.
Rhythm & Tonality
Key finding: 52% of latin tracks are in a minor key, with C#/Db the most common. Typical BPM: 114.7 (σ 23.8).
Emotional Fingerprint
Top Artists
Key finding: Ozuna dominates with 22 tracks in the top 100, followed by Bad Bunny (10) and Enrique Iglesias (10).
What Makes a Hit
Feature Correlations
Production Profile
Top Tracks
Key finding: The most popular latin track is “La Bachata” by Manuel Turizo with a popularity score of 98.
| # | Track | Artist | Popularity | BPM | Energy | Valence | Key |
|---|
How Latin Compares
Frequently Asked Questions
Sources & Methodology
This analysis is based on Spotify Audio Features API data for the top 100 🌶️ latin tracks by popularity, supplemented by Gemini AI audio analysis of 30-second preview clips.
Audio features (energy, valence, acousticness, instrumentalness, danceability, speechiness, tempo, key, mode, loudness, duration) are sourced directly from Spotify's audio analysis pipeline. Production insights, mood classifications, and instrumentation details are generated by Gemini AI.
Data was collected and analyzed by kapiko — a music analytics platform for AI-era music production.