Genre matters more than it seems: it decides which playlists to pitch, which hashtags to use, how to describe your music to press and labels, and what to type into a streaming search. But genre lines are blurry — is it house or UK garage? Trap or drill? This finder uses an AI trained on decades of music writing to classify a song by name, or from your description of what you hear.
To find out what genre a song is, enter the title and artist above (or describe how it sounds) and the AI returns the primary genre, its subgenres, and similar genres in seconds — free and with no signup. For a known track it classifies from what's documented about the song and artist; for an unreleased or obscure one, it infers the genre from your description of the tempo, instruments, and mood.
Genres aren't exact science — a song can sit between scenes — so the finder also shows a confidence level and neighboring genres rather than forcing a single label.
Type the title and artist. If the AI knows the track, it classifies from what has been written about the song, the artist, and the scene around it.
No title? Describe tempo, instruments, mood, and era — 'slow, dusty drums, jazzy samples, melancholic rapping' gets you to boom bap fast.
You get the primary genre, up to three subgenres, similar genres to explore, and a short explanation of the musical traits behind the classification.
Most modern music sorts into a handful of big families, each with dozens of subgenres:
House, techno, trance, drum & bass, dubstep, ambient — organized mainly by tempo and drum pattern.
Boom bap, trap, drill, cloud rap, grime — organized by drum style, tempo, and regional scene.
Indie, punk, metal, shoegaze, post-rock — organized by guitar tone, energy, and songwriting form.
Synth-pop, hyperpop, dance-pop, bedroom pop — organized by production era and mainstream sensibility.
Neo-soul, contemporary R&B, funk — organized by vocal style and groove.
Americana, singer-songwriter, bluegrass, alt-country — organized by instrumentation and storytelling.
Every genre has a visual language — neural frames generates AI music videos in the aesthetic your track calls for, with visuals that react to your sound.
Type the song title and artist into the finder above — the AI identifies the primary genre, subgenres, and similar genres, with a short explanation of why. If it doesn't know the track, describe the sound instead and it classifies from your description.
It draws on an AI model trained on decades of music journalism, reviews, and discussion — for most released music, what's been written about a track pins its genre precisely. For unreleased or obscure music, your description of the tempo, instruments, and mood does the job.
Yes — describe it: tempo (or measure it with our free Key & BPM Finder), main instruments, drum style, mood, and any artists it resembles. The more specific the description, the more precise the classification.
A genre is the big family (electronic, hip-hop, rock); a subgenre is the specific scene inside it (melodic techno, drill, shoegaze). Playlists, press, and algorithms increasingly work at the subgenre level, which is why the finder always gives you both.
Yes — free with a generous daily limit, no signup. It's built by the team behind neural frames, the AI music video platform.
Genres are social labels, not measurements — a song can genuinely sit between scenes. The finder handles this by giving a confidence level and listing neighboring genres instead of pretending there's exactly one right answer.
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Knowing your genre sharpens everything: playlist pitching, tags, artwork, and visuals. Neural frames turns that knowledge into motion — AI music videos in the visual language of your genre, animated in sync with your track. Identify the genre free here, then give the song the video it deserves.