Free genre analysis · No sign-up

Playlist Genre Analyzer

Paste your playlist, see its DNA. This playlist genre analyzer breaks your track list into genre percentages, names the dominant genre, scores diversity, and flags the outliers — all from listener tags, no AI.

The playlist genre analyzer: paste your list, press analyze.

Example search

You typeMy Road Trip Mix
You get

Primary genre: Rock

  • Rock38%
  • Alternative Rock24%
  • Indie Rock16%
  • Pop12%
  • Country6%

Every playlist has a genetic code — a blend of genres that shapes what it feels like to listen through. A playlist genre analyzer makes that code visible: paste your tracks, and the engine reads the tags real listeners have applied to each song, normalizes them through a genre taxonomy, and aggregates the results into percentages you can see at a glance.

No login, and no AI pretending to hear the audio. This playlist genre analyzer is pure metadata lookup — for each track in your list it pulls the listener tags, strips the noise ("favorites", "seen live"), maps synonyms to canonical genre names, and counts what remains. The output is evidence, not opinion: a genre breakdown you can argue with because you can see the numbers.

How the playlist genre analyzer works, in three steps

The playlist genre analyzer goes from pasted list to genre breakdown in under a minute — no account, no audio upload.

  1. 1

    Paste your track list

    Copy your playlist from any player and paste the lines here — "Title - Artist" format works best. Up to 50 tracks per analysis.

  2. 2

    Watch the analysis

    The playlist genre analyzer resolves each track, pulls its listener tags, and normalizes them through a genre taxonomy.

  3. 3

    Read your genre mix

    Genre percentages, dominant genre, diversity score, and outlier tracks — the full picture in one card.

When you need a playlist genre analyzer

These are the moments the playlist genre analyzer settles in seconds.

  • The playlist that has no label

    You built a list over months and cannot name what it is. The playlist genre analyzer tells you — with percentages.

  • A DJ set that needs a through-line

    Before you press play, see the genre spread and decide whether to trim the outliers or lean into them.

  • Sharing your taste honestly

    "It's eclectic" is vague. "42% alternative rock, 28% indie, 17% electronic" — that's a genre mix people can picture.

  • Finding the rogue track

    One song in fifty keeps derailing the vibe. The outlier list names it — and its actual genre.

Try it now: example playlists

These are the playlist genre analyzer inputs people bring most.

Methodology & limits

What this playlist genre analyzer really measures

Where the genres come from, how the breakdown is computed, and the honest limits of tag-based analysis.

How the playlist genre analyzer builds the breakdown

The engine parses your pasted lines, resolves each track against the music catalog, then pulls the full set of listener tags for that track. A genre taxonomy takes over: personal tags ("favorites", "seen live") and context tags ("summer", "workout") are discarded, synonyms are folded together, and the remaining tag weights are aggregated into the percentage breakdown you see.

The playlist genre analyzer caps at fifty tracks per run and analyzes with bounded concurrency to stay friendly on rate limits. The diversity score reflects how many distinct genres carry weight: a narrow playlist scores low, a genre-straddling one scores high.

What the playlist genre analyzer cannot do

It does not listen to audio and it is not AI classification — it reads metadata that real listeners have applied. Tracks with thin play history can have sparse tags, and very new or local tracks may return no tags at all (they are skipped and counted in the analyzed/total ratio).

For a single song's genre, use the song genre finder — the playlist genre analyzer is designed for many-track lists, not deep-diving one track.

Four ways to get a better analysis

Small habits that sharpen the playlist genre analyzer results.

  • Use "Title - Artist" format

    The dash-separated format resolves tracks fastest and most accurately.

  • Analyze the real list

    Paste what you actually listen to, not what you wish you did — the playlist genre analyzer reads what is there.

  • Check the analyzed ratio

    If 30/50 tracks analyzed, the breakdown reflects those 30. Thin resolution weakens the signal.

  • Read the outliers last

    The genre bars tell you what the list is; the outliers tell you what it almost isn't. Both are useful.

Playlist genre analyzer — frequently asked questions

What people ask before their first analysis.

How many tracks can I analyze?

Up to fifty per run — the playlist genre analyzer caps there to stay within friendly rate limits.

Does it need my Spotify account?

No. The playlist genre analyzer works entirely on the text you paste — no login, no permissions, nothing stored.

Is this AI genre detection?

No. The playlist genre analyzer aggregates tags applied by real listeners — metadata lookup, not audio analysis.

Why do some tracks show no genre?

Tracks with sparse play history can lack listener tags. They are skipped — check the analyzed/total ratio.

Is it free?

Yes — the playlist genre analyzer is completely free, with no sign-up, quota or subscription.

What is the diversity score?

A 0–100 measure of how many distinct genres carry weight in the mix. Low means narrow, high means genre-straddling.

More free music tools

Two engines, one site: identify any song from words, then analyze and build playlists from what you find.

Sources & data

Lyric and seed queries are matched by our own search layer. Last.fm and the Apple Music Search API then verify track identity and enrich metadata, artwork and links. Last.fm listening data · Apple Music Search API

Your playlist's DNA is one paste away

Paste your track list and let the playlist genre analyzer show you the genre mix you built without knowing it.

Analyze my playlist now ↑