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Sound Tester

Spectrum Analyzer See Sound Live

Free online audio spectrum analyzer. Point it at your microphone, an audio file or a built-in test signal and watch every frequency in real time as a 1/3 octave RTA, an FFT curve or a scrolling spectrogram, with peak hold, averaging, A-weighting and exports.

Frozen

Choose What To Analyze

Use your microphone to see the sound around you, open an audio file, or play a test signal to see how a known sound looks.

Loudest Frequency -Hz Waiting for sound
Input Level
-∞ dBRMS, peak marker in orange
Busiest Band-
Top Peaks
  • Peaks show up here once sound is playing.
Your browser will ask for microphone access. Echo cancelling and noise reduction are turned off so you see the real sound. Nothing is recorded or uploaded.
Open Audio File MP3, WAV, OGG, FLAC or M4A. The file stays on your device.
1 kHz
25%
FFT Size
Smoothing
Display Range
Frequency Scale
Weighting
Overlays
Pick a source to begin. Hover or touch the display to read any frequency. Space freezes the view.

Everything runs inside your browser. Microphone sound and audio files never leave your device.

A Spectrum Shows How Loud Each Pitch Is

An audio spectrum analyzer splits a sound into its frequencies, the same way a prism splits light into colors. Left is low and deep, right is high and bright, and the height shows how strong each part is.

1005002k10k -20-50-80 frequency in Hz 1 Loudest peak 2 Bass bump 3 Fading highs 4 Overtone
  • 1
    The loudest peakUsually the pitch you hear, such as the note of a voice or instrument. The analyzer shows it with the nearest musical note.
  • 2
    Bumps and dipsRooms, speakers and microphones boost some frequencies and cut others. A big bump in the bass is often the room.
  • 3
    The roll-offMost natural sounds get quieter toward the top. Where it falls into the noise floor shows how bright the sound is.
  • 4
    OvertonesSmaller peaks at 2, 3 and 4 times the main pitch. Their pattern is what makes a piano sound different from a flute.

Each View Answers A Different Question

Switch views at the top of the analyzer. They show the same sound in three ways, each one good for a different job.

Detail · exact pitch

FFT Curve

A smooth line through thousands of frequency points. Best for finding exact pitches, hum, feedback and narrow peaks. The dashed line holds the highest level reached.

Balance · room tuning

1/3 Octave RTA

31 bars from 20Hz to 20kHz, each one a third of an octave wide, like a graphic equalizer. Best for judging tonal balance and tuning a room or a PA system with pink noise.

Time · changes

Spectrogram

Time runs left to right and pitch runs bottom to top, with stronger sound shown darker. Best for speech, birdsong, sweeps and anything that changes over time.

Common Sounds Have Shapes You Can Learn

Once you know these patterns, you can spot them anywhere. The ones with a button can be played straight into the analyzer above.

Pure Sine Tone

A single sharp spike at one frequency and nothing else. Test tones and tuning forks look like this.

Square Wave Or Buzzy Note

A main spike plus a row of smaller ones at 3, 5 and 7 times the pitch. Buzzy and bright sounds look like this.

Pink Noise

On a 1/3 octave view, pink noise shows as a flat line. That makes it the standard signal for tuning speakers and rooms.

Mains Hum

A spike at 50Hz or 60Hz with smaller ones at 100Hz or 120Hz and up. It comes from power cables and ground loops.

Speaking Voice

A bumpy hill from about 100Hz to 4kHz with peaks called formants. They change with every vowel you say.

Whistle Or Feedback

One very tall, narrow spike, often between 1kHz and 4kHz. In a PA system, that spike is the frequency to cut.

FFT Size Trades Speed For Detail

The analyzer uses a Fast Fourier Transform, or FFT, which looks at a short slice of sound at a time. A bigger slice separates frequencies more finely but reacts more slowly. Figures below are for a 48kHz device.

FFT SizeResolutionSlice LengthGood For
204823.4 Hz43 msFast changes, drums, quick visual feedback
409611.7 Hz85 msMusic and speech in general
81925.9 Hz171 msThe balanced default for most jobs
163842.9 Hz341 msBass notes, hum and room modes
327681.5 Hz683 msVery fine pitch detail on steady sounds

Resolution is the sample rate divided by the FFT size. At 44.1kHz each figure is about 8% finer.

People Use A Spectrum Analyzer For Jobs Like These

From live sound to home studios to simple curiosity, seeing sound makes problems easier to find.

Tune A Room Or Car With Pink Noise

Play pink noise through your system, measure with the microphone on the 1/3 octave view and adjust the EQ until the bars look even.

Find And Kill Feedback

When a PA starts to ring, the tall spike on the FFT curve shows the exact frequency to cut on your equalizer.

Track Down Hum And Buzz

A spike at 50Hz or 60Hz with a ladder of harmonics points to a ground loop or a noisy power cable.

Check A Mix Or A Track

Open a song file and compare its balance with a reference track. Too much 200Hz to 400Hz sounds muddy, too little 10kHz sounds dull.

Test A Microphone

See how much bass and treble your microphone picks up, and how loud the background noise floor is with nobody talking.

Learn And Teach About Sound

Show students overtones, vowels, birdsong and the difference between noise colors, all live on a screen.

Get Accurate Readings With These Five Habits

A phone or laptop microphone is not a calibrated measurement mic, but these steps get you surprisingly close.

  1. Use a quiet room firstLook at the display with no sound playing. That is your noise floor. Anything near it is not a real reading.
  2. Keep the microphone stillHold it at ear height where you sit. Moving it changes the bass a lot, especially near walls.
  3. Turn on Average for roomsAveraging over a few seconds removes the jitter of pink noise so you can trust each bar.
  4. Mind your microphone's limitsBuilt-in mics often drop below 100Hz and above 15kHz. Use a USB measurement mic for serious tuning.
  5. Watch the input levelIf the meter reaches 0 dB, the sound is clipping. Move the mic away or turn the source down.

Spectrum Analyzer Questions And Answers

Short answers about how the analyzer works and how to read it.

What is an audio spectrum analyzer?

It is a tool that shows how loud each frequency in a sound is, from deep bass on the left to high treble on the right. It turns sound into a picture you can measure.

Is this spectrum analyzer free and private?

Yes. It is free with no sign-up. Microphone sound and audio files are analyzed inside your browser and never uploaded or recorded.

Why does it ask for microphone permission?

Browsers protect your microphone, so you have to allow access before any site can hear it. You can turn access off again in your browser settings at any time.

What is the difference between FFT and RTA?

An FFT view shows thousands of narrow frequency points for fine detail. An RTA groups them into wider bands, here 1/3 octave, which is easier to read when balancing a room or a PA.

What does A-weighting do?

A-weighting turns down the very low and very high frequencies to match how human ears hear quiet sounds. It is used for noise and hearing measurements. Use Flat to see the real signal.

Why is the display jumpy with pink noise?

Noise is random, so each moment looks a little different. Turn on Average or raise Smoothing to see the steady shape underneath.

Are the dB numbers real sound levels?

They are dBFS, meaning decibels below the loudest signal your device can capture. They are good for comparing frequencies, not for measuring loudness in dB SPL. Use the Decibel Meter for that.

Why can I not see anything above 16kHz?

Most phone and laptop microphones stop picking up sound somewhere above 15kHz. Many audio files are also cut there to save space.

Can I analyze a song or recording?

Yes. Choose Audio File and open an MP3, WAV, OGG, FLAC or M4A file. It plays and shows its spectrum live, and you can mute the speakers if you only want to look.

Can I save what I see?

Yes. Save PNG downloads the current display as an image, and Export CSV saves every frequency point with its current, average and peak level for a spreadsheet.

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