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  3. Audio Spectrum Analyzer
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Audio Spectrum Analyzer

Real-time audio frequency spectrum analyzer and visualizer. View frequency bars, waveform, and spectral display. Supports microphone input and file playback with multiple color themes.

See what your audio looks like in the frequency domain. Upload a file or use your microphone and watch a real-time spectrum analyzer, spectrogram, or waveform display. The visualizer breaks the audio signal into its component frequencies so you can identify dominant pitches, spot noise, and understand the tonal characteristics of any sound.

Runs in your browser and files never uploadedMore audio processingJump to full guide

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Audio Spectrum Analyzer: a worked example

You suspect a recording has a constant electrical hum and want to confirm and locate it.

Input

recording.wav · real-time FFT spectrum
Audio Spectrum Analyzer produces

Result

A sharp persistent spike at ~50 Hz → mains hum confirmed

An FFT shows energy per frequency, so a narrow constant spike at 50/60 Hz is unmistakable mains interference rather than something you guess at. Seeing the exact frequency tells you precisely what to notch out.

What is Audio Spectrum Analyzer?

See what your audio looks like in the frequency domain. Upload a file or use your microphone and watch a real-time spectrum analyzer, spectrogram, or waveform display. The visualizer breaks the audio signal into its component frequencies so you can identify dominant pitches, spot noise, and understand the tonal characteristics of any sound.

How to use

  1. 1Upload an audio file or enable microphone input
  2. 2Select a visualization mode (spectrum, spectrogram, or waveform)
  3. 3Play the audio and watch the display update in real time
  4. 4Pause to inspect specific moments

Key features

  • Real-time FFT spectrum analyzer
  • Scrolling spectrogram view with color-coded intensity
  • Waveform oscilloscope mode
  • Adjustable FFT size for frequency resolution control
  • Peak frequency readout
  • Logarithmic and linear frequency scale options

Common use cases

  • Audio diagnostics

    Identify unwanted frequencies like hum at 50/60 Hz or high-pitched whine in a recording.

  • Instrument tuning

    Visually verify pitch by watching the fundamental frequency readout.

  • Learning acoustics

    Observe how different sounds, instruments, and voices distribute energy across the frequency spectrum.

Frequently asked questions

What is FFT size?

FFT size determines frequency resolution. Larger sizes give finer frequency detail but slower time response. Smaller sizes respond faster but blur closely spaced frequencies together.

Can I use my microphone?

Yes. Grant microphone permission when prompted and the visualizer will display your live input.

Private by design

Audio is decoded and processed locally with the Web Audio API. Your files are never uploaded to a server.