Lyrics To Song AI - AI Music Generator

Audio Spectrogram Viewer Tool

Drag & drop audio to analyze

MP3, WAV, FLAC, OGG — or use your microphone for live analysis

or

try a sample

SpacePlayPPause viewCClear
1

Load audio

Upload a file, pick a demo, or use your microphone

2

Press play

Watch the spectrogram build in real time

3

Analyze results

See notes, peaks, hover for details, export PNG

  • ✅ Upload an audio file or use your microphone for live spectrogram analysis
  • ✅ The spectrogram shows frequency (vertical) over time (horizontal)
  • ✅ Brighter colors indicate stronger frequencies at that moment
  • ✅ Musical note labels help identify pitches (C4 = Middle C, A4 = 440Hz)
  • ✅ Adjust playback speed from 0.5x to 2x for detailed analysis
  • ✅ Adjust FFT size for frequency resolution (higher = more detail, slower)
  • ✅ Choose a color scheme that works best for your analysis

Audio Source

Upload audio files in MP3, WAV, FLAC, OGG, M4A formats for frequency analysis and visualization. The audio spectrogram viewer supports all common audio formats for real-time audio analysis. You can also use your microphone for live spectrogram input — perfect for analyzing instruments, voice, or environmental sounds in real time.

Spectrogram

Real-time frequency visualization showing audio spectrum over time. The spectrogram displays frequency (vertical axis) over time (horizontal axis) with color intensity indicating amplitude. This frequency analyzer provides detailed sound spectrum analysis with musical note annotations to help identify pitches.

Visualization Settings

Configure FFT size from 512 to 8192 bins for frequency resolution control. Adjust Min dB and Max dB range to focus on different intensity levels. Select color schemes including Viridis, Hot, Cool, and Grayscale for optimal audio visualization. Control playback speed from 0.5x to 2x for detailed analysis of fast passages. Higher FFT size provides more frequency detail but slower processing for this FFT analysis tool.

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Spectrogram ViewerAudio SpectrogramFFT Analyzer

Free Spectrogram Viewer Online - Audio Spectrogram Reader

Upload a browser-supported audio file or use microphone input to view a spectrogram online. Inspect time, frequency, energy, harmonics, noise floor, speech formants, hidden tones, and peaks with adjustable FFT and dB controls.

Browser-based spectrogram viewer with FFT, dB range, colors, and microphone input
Open ViewerSee How It Works
512 – 8192
FFT sizes
File Upload + 3 Demos
Inputs
4 scientific palettes
Color schemes
Free
Price

Spectrogram Controls Explained

Features available in the current tool

Professional online audio spectrogram viewer

Upload MP3, WAV, FLAC, OGG, M4A, voice clips, songs, or noise samples and view a browser-based audio spectrogram with frequency over time, amplitude color, and privacy-friendly local processing.

FFT frequency resolution, dB range, and noise floor

Use FFT sizes from 512 to 8192, min/max dB range, and color controls to inspect frequency resolution, time resolution, quiet details, noise floor, transients, speech detail, and music patterns.

Spectrogram reader, decoder, and frequency analyzer

Spot repeated lines, strong peaks, harmonic bands, hidden tones, speech formants, consonants, electrical hum, background hiss, and noise patterns when reading or decoding a spectrogram.

Color schemes, microphone input, and PNG export

Choose Viridis, Hot, Cool, or Grayscale color schemes, analyze live microphone input, compare files, and export a PNG image without installing desktop audio analysis software.

How to Use the Spectrogram Viewer

Follow the actual controls from input to result

  1. 1
    Upload MP3, WAV, FLAC, OGG, M4A, or turn on microphone input.
  2. 2
    Choose FFT size, color scheme, and dB range for frequency resolution, time resolution, and noise floor detail.
  3. 3
    Press play or speak into the mic and watch the audio spectrogram build online.
  4. 4
    Use it as a spectrogram reader or decoder to inspect peaks, harmonics, speech formants, noise, electrical hum, hidden tones, and high-frequency artifacts.
  5. 5
    Export PNG or take a screenshot to save the spectrogram for comparison or sharing.

Audio Analyzer Dashboard

Inspect levels, frequency content, stereo balance, and other audio measurements.

Explore Audio Analyzer Dashboard

Frequency Band Equalizer

Shape frequency bands after identifying areas that need attention in the spectrogram.

Explore Frequency Band Equalizer

Audio Visualizer

Create a presentation-focused visual after using the spectrogram for technical inspection.

Explore Audio Visualizer

What You Can Inspect

Practical reasons to use this specific tool

Audio Analysis

Identify frequency content and harmonics

Sound Design

Visualize synth patches and effects

Music Research

Study instrument timbre and overtones

Voice Analysis

Analyze speech formants and pitch

Spectrogram Viewer FAQ

Answers based on the current tool

What is a spectrogram?+
A spectrogram shows how audio frequencies change over time. Frequency runs vertically, time runs horizontally, and color shows strength.
What should I set FFT size to?+
Use 2048 for a balanced view, 4096 or 8192 for more frequency detail, and 512 or 1024 for faster motion and clearer transients.
Can I use microphone input?+
Yes. You can analyze live microphone input in the browser after allowing mic access.
Can I save the spectrogram image?+
Yes. Export PNG or use a screenshot to save the current view.
Is my audio uploaded?+
No. The analysis runs in your browser, so your audio stays on your device.
What audio formats are supported?+
The viewer supports common browser-decodable formats such as MP3, WAV, OGG, M4A, and FLAC.
What do the colors mean?+
Brighter colors show stronger energy at a frequency, while darker colors show quieter areas.
How do I identify notes or peaks?+
Look for strong horizontal bands and peak markers. They often show the main pitch and harmonics in music or voice.
Is this a spectrogram decoder online?+
It can help you decode or read a spectrogram visually by showing frequency, time, amplitude, peaks, harmonics, and noise patterns. It does not automatically identify every hidden message or encoded signal.
Can I view an MP3 spectrogram online?+
Yes. Upload an MP3 file and the tool will render an audio spectrogram in your browser. WAV, FLAC, OGG, and M4A are also supported when your browser can decode them.
What is frequency resolution in a spectrogram?+
Frequency resolution describes how clearly nearby frequencies are separated. Larger FFT sizes show more frequency detail, while smaller FFT sizes show faster time changes.
Can this show noise floor and speech formants?+
Yes. Adjust the dB range to reveal quiet noise floor details, background hiss, speech formants, consonants, and harmonic structure.
How does FFT analysis work in this spectrogram viewer?+
FFT, or Fast Fourier Transform, converts short windows of audio from time data into frequency data. Larger FFT sizes give better frequency resolution, while smaller FFT sizes show quicker time changes and transients.
Why adjust min dB and max dB range?+
The dB range controls which amplitudes are visible. Lower min dB reveals quieter details and noise floor, while max dB helps prevent loud signals from saturating the display.
What is the difference between color schemes?+
Viridis is useful for balanced scientific-style reading, Hot gives strong contrast, Cool is calmer visually, and Grayscale is helpful for printing or simple amplitude inspection.
Can I analyze live microphone input in real time?+
Yes. Use microphone input to inspect live voice, instruments, room noise, environmental sounds, speech formants, pitch movement, and frequency content in real time.

How to Read This Spectrogram

Practical guidance for reading the result

Read the horizontal axis as time and the vertical axis as frequency. A sound that continues for longer stretches across the image lasts longer in the recording.

Color shows energy at each time and frequency. Brighter or more intense colors indicate stronger energy within the selected dB range; they do not automatically mean better audio quality.

Horizontal bands often reveal steady pitches and harmonics. Short vertical streaks usually indicate transients such as clicks, percussion attacks, or consonants. A continuous low-frequency line may indicate electrical hum, while a broad haze can indicate background noise.

The viewer helps you inspect patterns, but it does not automatically decode hidden messages or identify every sound. Adjust FFT size and dB range, then compare what you see with what you hear.