MUSIC ANALYZER

Understand the sound inside your music

Turn an audio file into a practical music profile with tempo, key, energy, tone, mood, arrangement signals, and an estimated energy structure.

USE THE TOOL

Analyze the musical profile

Results are signal-based estimates. Your audio stays on this device.

Private by design · 1 creditGoogle sign-in is required, but your audio is analyzed in this browser and never uploaded.

WHY USE THIS TOOL

Useful answers without hiding the uncertainty

A readable music profile

See rhythm, harmony, loudness, spectral balance, dynamics, and stereo information translated into useful musical language.

Structure at a glance

An energy timeline highlights likely openings, builds, peaks, breakdowns, and endings without pretending to know the written arrangement.

Transparent estimates

Mood, style, and arrangement labels are derived from measurable audio features and clearly marked as tendencies rather than facts.

HOW IT WORKS

From input to answer

  1. 01

    Upload a complete or representative file

    A longer section gives the analyzer more evidence for key, rhythm, dynamics, and changing energy.

  2. 02

    Measure the signal

    The browser extracts onset timing, tonal chroma, spectrum, level distribution, transients, and stereo relationships.

  3. 03

    Use the profile as a starting point

    Apply the results to cataloging, playlists, DJ preparation, reference selection, or a deeper listening review.

REFERENCE

What this tool returns, and where it stops

Measured values

Duration, sample rate, channels, BPM and key estimates, peak and average level, crest factor, dynamic range, clipping and silence share, and spectral brightness.

Descriptive labels

Energy, brightness, mood, genre tendency and likely elements are heuristic descriptions computed from the measured values. They are summaries, not facts about the artist’s intent.

A rough structure view

The track is divided into sections by level changes, so you can see where it builds or drops.

Input, handling and cost

Input
An audio file chosen from your device
What is analysed
The first three minutes, decoded in your browser
File handling
Not uploaded; analysis runs locally
Cost
1 credit. The file is decoded in your browser and is not uploaded.

Known limitations

  • Mood and genre labels are rule-based guesses from tempo, level and tone. Do not treat them as classification of the song.
  • Section boundaries follow loudness, so quiet transitions or sustained passages can be missed.
  • Compressed formats (low-bitrate MP3) change the spectrum slightly compared with lossless files.
  • Results describe the supplied file; two masters of the same song can analyse differently.

QUESTIONS, ANSWERED

Frequently asked questions

Can software identify genre and mood perfectly?

No. Genre and mood are cultural and subjective. This tool reports signal-based tendencies and the measurable features behind them.

Does it recognize individual instruments?

It detects broad spectral and transient clues that may suggest bass, midrange melody or vocals, percussion, and stereo layers. It is not source separation or definitive instrument recognition.

Does analysis use AI or upload my file?

No external model is required. The current analyzer runs digital-signal processing locally in your browser.