Choose the input
Choose a representative section with the main instrumentation and rhythm.
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Genre Detector — Estimate a Song’s Style
Estimate broad style families from tempo, energy and signal characteristics. Results are transparent experimental suggestions—not a claim that genre has one objective answer. No account or software installation is required.
AUDIO STAYS ON YOUR DEVICE
PRIVATE ON-DEVICE ANALYSIS
Your audio stays on this device. Musical details such as BPM, key and style are best estimates, so use your ears for a final check.
Three steps from input to answer
Use the live tool
Let the browser estimate tempo, energy and broad signal characteristics.
Check the result
Review the likely family and alternatives, then confirm the label through attentive listening.
THE BASICS
What is a genre detector?
A genre detector compares measurable audio traits with broad stylistic patterns. Genre itself is cultural, historical and often hybrid, so one song can reasonably belong to several categories or sit outside a fixed label system.
This page gives you a dedicated workspace for genre detector, followed by practical guidance for checking and using the result. If you need a different workflow, the related tools below make it easy to continue without starting over.
HOW IT WORKS
How does a genre detector work?
The tool compares tempo, rhythmic activity, relative energy and sound character with several broad style families. It does not read the filename or genre tag, so the result is shown as a likely style rather than a precise classification.
Music Tools Lab compares estimated BPM, rhythmic activity, relative energy, brightness and dynamic range with six broad style families. It shows the three closest matches and explains which audio traits influenced each suggestion. The result comes from the sound itself rather than the filename or an embedded genre tag.
Automatic audio results can vary with the recording. Music Tools Lab labels estimates and relative measurements clearly, exposes uncertain states where supported and recommends a listening check whenever the exact interpretation matters.
Where this tool helps
A broad estimate can help organize unknown files, start a tagging workflow, compare a reference track or decide which playlist direction to explore before you listen more closely.
Triage unknown files
Choose a broad listening direction before applying careful human catalog tags.
Start release metadata
Generate candidates to discuss, then confirm them against artist and label context.
Explore playlist fit
Compare broad stylistic traits before auditioning whether the track belongs in sequence.
Review references
Describe tempo, density, brightness and dynamics alongside a cautious style hypothesis.
BETTER RESULTS
How to get a useful result
Read the first label as an exploration prompt, not authoritative release metadata. The second and third matches matter because hybrid recordings can share traits across pop, dance, rock, hip-hop, acoustic and ambient families. Cultural lineage, instrumentation, scene and artist identity are essential to genre but are not recoverable from a few signal descriptors.
Start with representative material: Choose a representative section with the main instrumentation and rhythm. Keep the original source available, note which section you checked and repeat the measurement when the arrangement, tempo or harmony changes.
When the estimate looks wrong
- Use a representative full mix; an intro or drum-only stem can misrepresent the overall style.
- Keep multiple broad candidates when a track intentionally crosses genre boundaries.
- Do not publish the result as official metadata without human review and contextual evidence.
USEFUL CONTEXT
Why style estimates can vary
Many songs combine traits from several genres, and production choices can blur the boundary between them. Treat the suggested styles as a useful starting point, keep more than one candidate for hybrid music and confirm the final choice by listening.
QUALITY CHECK
Build a result you can verify
Choose material that represents the part of the song you actually plan to use. A clean section with a stable arrangement usually gives rhythm and harmony analysis more evidence than a spoken introduction, long fade or noisy crowd recording. Keep the original file available, note which section you checked and repeat the analysis if the song changes significantly between sections.
Treat the displayed value as the start of a listening check. Follow the beat for several bars, try the suggested key against an instrument when harmony matters and compare broad energy or style labels with what you hear. Writing down the source, section and result makes later comparisons meaningful instead of relying on two measurements made under different conditions.
EXAMPLE
How to read the result in practice
A fast, high-energy four-on-the-floor track may lean toward Electronic / Dance, while a slower track with strong rhythmic activity may suggest Hip-Hop / R&B. Synthwave, pop-rock and lo-fi hip-hop naturally overlap several broad families.
What to keep in mind
Audio traits alone cannot reliably identify every subgenre, cultural context or creative intention. Treat the result as a starting point, especially for hybrid, regional or niche styles.
If the first estimate conflicts with what you hear, repeat the check with another representative passage and compare it with a manual or instrument-based method where possible.
Learn more about this tool
These technical references provide extra background on the browser features, audio formats or music concepts used on this page.
REFERENCE
MDN: decodeAudioData()
Read the original reference for more detail.
View reference ↗REFERENCEFMA: A Dataset for Music Analysis
Read the original reference for more detail.
View reference ↗Your audio stays private
Selected files are processed in your browser and are not uploaded to Music Tools Lab. Keep this tab open while the tool is working. Read about privacy & accuracy.
Frequently asked questions
Can one song belong to several genres?+
Yes. Hybrid production, regional scenes and changing sections make multi-label descriptions common. The tool intentionally presents broad possibilities rather than one absolute answer.
Does it read the filename or tags?+
No. The estimate comes from characteristics of the audio, not the filename, artist tag or embedded genre metadata.
Why is the genre result not exact?+
Many songs blend styles, and genre boundaries depend on musical and cultural context. The tool therefore shows broad, likely matches instead of one absolute label.
Can it detect obscure subgenres?+
Not reliably. It is designed for broad style families, so niche and hybrid music should be classified by listening and context.
Should I use the result as metadata?+
Use it as a starting suggestion, listen to the track and check any existing reliable catalogue information before assigning permanent tags.