Audio Spectrum Analyzer
Visualize audio frequencies with real-time spectrum analyzer and zoomable spectrogram. Analyze frequency content, harmonics, and time-frequency characteristics.
Select Audio File
Spectrum Analyzer
Real-time Frequency Spectrum
Spectrogram (Time-Frequency Analysis)
Export Video
Record the spectrum and spectrogram with sound as a video file. Recording runs in real time while the audio plays through; the current color scheme, scale, and zoom are used.
How to Use
- Upload an audio file (MP3, WAV, OGG, etc.); the full-file spectrogram is computed immediately, no playback needed
- Play the audio to see the real-time frequency spectrum and a moving playhead on the spectrogram
- Switch between Linear and Logarithmic frequency scales; log spreads out the musically important low end
- Adjust FFT size for frequency resolution (applies to both views)
- Change color schemes for better visualization
- Click the spectrogram to seek playback; drag to zoom into a time range; use the frequency zoom or Min/Max fields to focus a band
- Download the spectrogram as an image, or record a video of both views with sound at any resolution
Understanding the Visualizations:
- Spectrum: Shows current frequency content (vertical bars = amplitude at each frequency)
- Spectrogram: Time on X-axis, Frequency on Y-axis, Color = Amplitude
- Bright colors: Strong frequency components
- Dark colors: Weak or absent frequency components
- Log scale: Each octave gets equal space, matching how we hear pitch; ideal for music and voice
About Spectrum Analysis
Any sound can be described as a mix of sine waves at different frequencies. Spectrum analysis uses the Fast Fourier Transform (FFT) to split audio into those components, showing how much energy sits at each frequency. The spectrum shows a single instant; the spectrogram stacks thousands of these snapshots side by side, revealing how the sound evolves over time. Amplitudes are shown in dBFS (decibels relative to full scale), where 0 dB is the loudest possible digital level and -90 dB is near silence.
Audio Frequency Ranges
| Range | Frequencies | What Lives Here |
|---|---|---|
| Sub-bass | 20 - 60 Hz | Rumble, kick drum weight; felt more than heard |
| Bass | 60 - 250 Hz | Bass guitar, kick drum, fundamental of male voice |
| Low mids | 250 - 500 Hz | Warmth and body; muddiness when excessive |
| Midrange | 500 Hz - 2 kHz | Most vocals and instruments; where melody lives |
| Upper mids | 2 - 4 kHz | Speech intelligibility, attack of instruments |
| Presence | 4 - 6 kHz | Clarity and definition; harshness when boosted |
| Brilliance | 6 - 20 kHz | Air, sparkle, cymbal shimmer, sibilance |
Reading a Spectrogram
- Horizontal lines: steady tones. A musical note appears as a bright fundamental line with evenly spaced harmonics above it (2x, 3x, 4x the fundamental frequency).
- Vertical stripes: percussive hits; drums and clicks spread energy across all frequencies for a brief moment.
- Curved or wavy lines: pitch changes such as vibrato, sirens, slides, or birdsong.
- Uniform haze: broadband noise like hiss, wind, or applause.
- Hard ceiling: a sharp cutoff (often near 16 kHz) usually means lossy compression; a low-bitrate MP3 leaves a visible empty band at the top.
- Thin line at 50/60 Hz: mains hum from electrical interference; its harmonics at 100/120 Hz often show too.
- Mixing and EQ: Find masking and clashing frequencies before reaching for an equalizer
- Audio Quality Checks: Spot lossy-compression cutoffs, clipping, hum, and hiss at a glance
- Voice and Phonetics: Examine formants, sibilance, and pitch contours
- Music Transcription: Zoom into a time range to identify notes and chords by their harmonics
- Bioacoustics: Identify bird, bat, and whale calls by their signature spectrogram shapes
- Hidden Images: Some artists hide pictures in their music that only appear in a spectrogram
Tips for Better Analysis
- Use the logarithmic scale for music and voice; each octave gets equal space, matching how we hear pitch. Use linear when working with evenly spaced harmonics or ultrasonic content.
- Larger FFT sizes give finer frequency detail but blur fast events; 2048 suits most material, 8192 helps separate close bass notes.
- Drag across the spectrogram to zoom into a moment; click to move playback there and inspect the spectrum at that exact time.
- Everything runs locally in your browser; files never leave your device, so it is safe for unreleased mixes and private recordings.
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