Audio Spectrogram

Renders a time-frequency heatmap of your file — brighter areas mean more energy at that frequency and moment — using a real short-time Fourier transform, not a decorative approximation.

How to use the Audio Spectrogram

  1. Add your audioDrop a file onto the page or tap to browse — or press “try a built-in sample” to explore first. Nothing is uploaded; the file is decoded on your device.
  2. Analysis runs automaticallyA spectrogram image is drawn automatically; change detail, range, colours or axis and press Redraw.
  3. Verify and use the resultUse the buttons under the report to listen and check; copy the result with one click.

About the Audio Spectrogram

The Audio Spectrogram turns sound into a picture: time runs left to right, frequency bottom to top and brightness shows level. It reveals things you cannot see in a waveform — hum, bird songs, vowels, harmonics, clicks, lossy-codec cutoffs and edits.

Choose from four colour maps, a logarithmic or linear frequency axis, up to 8192-point resolution and image widths up to 2800 px, then download the picture as a PNG.

How the Audio Spectrogram works

The audio is mixed to mono and a short-time Fourier transform is computed with Hann-windowed frames (hop = size/4 or wider for long files). Each bin’s magnitude is converted to dB, mapped onto the dynamic-range window you choose below the brightest value, and coloured with a look-up table (Magma, Viridis, Ice or grayscale). The log axis maps pixels to frequencies between 30 Hz and the top frequency exponentially, which matches pitch perception.

What people use it for

Forensics & QC

Spot edits, clicks and codec cutoffs.

Music analysis

See harmonics and structure.

Speech

Visualise formants.

Nature recordings

Find bird calls and insects.

Tips for the best results

  • For speech use a 4–8 kHz top frequency and 1024–2048 detail.
  • For pitch-accurate views use 4096–8192 detail.
  • 90–110 dB range suits most music; lower values boost contrast.

Common problems & fixes

Image looks blurry in timeUse a smaller ‘Detail’ value for better time resolution.
High frequencies are blackLower the dynamic range or increase the top frequency.

Quick facts

Resolution1024–8192 FFT
AxesLog or linear frequency
ColoursMagma, Viridis, Ice, Gray
ExportPNG up to 2800 px wide

Frequently asked questions

What is a spectrogram?

A time-frequency picture of sound.

Why do notes look like horizontal lines?

Each sustained pitch and its harmonics appear as stacked lines.

Why does it only show the first 60 seconds on longer files?

Rendering a full spectrogram for a very long file means processing and drawing an enormous number of data points — capping analysis keeps the tool fast and responsive. Trim your file first with the Audio Cutter if you need a spectrogram of a specific later section.

Is this a real spectrogram or just a visual effect?

It's computed from a genuine short-time Fourier transform (STFT) of your actual audio data — the same underlying technique used in professional audio software, not a stylized animation.

Your audio never leaves your device

This tool runs entirely in your browser using the Web Audio API. Nothing is uploaded, stored or shared — there is no server to send your file to, so it works offline once the page has loaded.

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