SpectrogramAnalyzer

Online Spectrum Analyzer

Real-time FFT audio spectrum analyzer with instant peak frequency readout, dB dynamic range scaling, and multi-band frequency inspection.

Live Spectrum Analyzer

Real-time Fast Fourier Transform frequency bars showing amplitude in decibels across the full audible acoustic spectrum (20 Hz - 20 kHz).

Freq: --- HzNote: ---Level: --- dB
Peak:0 Hz

Audio Visualizer Ready

Click microphone, upload an audio file, or play a demo sample to start.

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How It Works

Three simple steps to start analyzing audio frequencies in your browser.

Step 01

Choose Audio Source

Select "Start Microphone" for live acoustic measurement, "Upload Audio File" for local MP3/WAV tracks, or play a synthetic demo sample.

Step 02

Select Visualizer Mode

Switch between Spectrogram (waterfall frequency over time), Spectrum Analyzer (real-time FFT bars), or Waveform (time-domain oscilloscope).

Step 03

Inspect & Save

Hover over the display to inspect exact frequencies in Hertz and decibels. Click Freeze to pause, or Export PNG to save your chart.

How to Read and Use an Audio Spectrum Analyzer

A spectrum analyzer visualizes acoustic energy distributed across frequency bands. While human ears combine complex sound waves into a single unified sensation, a spectrum analyzer separates individual harmonics so you can diagnose acoustic problems with mathematical precision.

The 7 Critical Audio Frequency Bands Explained

When analyzing sound on our online spectrum analyzer, the 20 Hz to 20,000 Hz spectrum is commonly divided into seven key psychoacoustic frequency zones:

1. Sub-Bass (20 Hz – 60 Hz)

Felt more than heard. Kick drum fundamentals and 808 sub rumble. Too much causes distortion.

Sub Bass
2. Bass (60 Hz – 250 Hz)

Bass guitar lines, lower piano notes, and male vocal chest resonance. Provides power and warmth.

Bass
3. Low Midrange (250 Hz – 500 Hz)

Contains the body of guitars and snare drums. Excess buildup here creates "muddy" or "boxy" sound.

Low Mid
4. Midrange (500 Hz – 2 kHz)

The core of human speech intelligibility and lead instruments. Human ears are highly sensitive here.

Mid
5. Upper Midrange (2 kHz – 4 kHz)

Adds presence and attack (snare crack, consonant articulation). Excess energy causes harsh ear fatigue.

Presence
6. Highs / Brilliance (4 kHz – 6 kHz)

Provides clarity and spatial definition. Controls vocal sibilance (the "S" and "T" sounds).

Highs
7. Air Band (6 kHz – 20 kHz)

Cymbal sizzle, acoustic guitar shimmer, and room reverb breath. Gives audio a modern, open feel.

Air

Built for Accurate Frequency Analysis

Everything needed to visualize and analyze audio frequencies without installing desktop software.

Microphone & Audio File Input

Capture live mic input in real time or upload local MP3, WAV, FLAC, and OGG tracks for instant spectral inspection.

Zero-Latency Web Audio FFT

Processes signals directly in the browser via the HTML5 Web Audio API and Fast Fourier Transform algorithms at 60 FPS.

100% Client-Side Privacy

No sound data or voice recordings leave your device. All DSP calculations execute locally in memory on your CPU.

Scientific Heatmap Palettes

Toggle between industry-standard color palettes including Inferno, Viridis, Magma, and High-Contrast monochrome.

Interactive Frequency Inspector

Hover anywhere over the canvas to view exact frequency in Hertz (Hz), pitch note, and decibel amplitude under your cursor.

Image Snapshot Export

Freeze and export clean, high-resolution PNG image snapshots for research, mastering, or acoustic documentation.

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Spectrum Analyzer FAQs

What does an audio spectrum analyzer do?

An audio spectrum analyzer measures the magnitude of an input audio signal versus frequency within its full audible range (20 Hz to 20,000 Hz). It breaks down complex audio into individual frequency components and displays them as real-time bars or continuous spectral curves.

Why is logarithmic frequency scale better for audio spectrum analysis?

Human hearing perceives musical pitch logarithmically rather than linearly. Every octave doubling (e.g. 100 Hz to 200 Hz, 1 kHz to 2 kHz) sounds like equal musical intervals to our ears. A logarithmic scale reflects this natural human perception, allocating equal visual space to musical octaves.

How do music producers use spectrum analyzers?

Producers and mastering engineers use spectrum analyzers to check tonal balance, spot resonant frequency build-ups, ensure clean low-end bass management under 100 Hz, and verify that high treble frequencies are smooth without harsh ear fatigue.

What is peak frequency detection?

Peak frequency detection automatically identifies the loudest dominant harmonic frequency bin currently playing and displays its exact frequency in Hertz alongside the closest musical pitch (e.g., 440 Hz = A4).