Infrasound Frequency Detector

Specialized detector for frequencies below 20 Hz. Identify Schumann resonance (7.83 Hz), seismic activity, wind turbine infrasound, thunder, ocean waves, and building sway. Features long-duration recording, slow waveform display, energy-over-time tracking, and source identification.

Infrasound Frequency Detector Tool

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🎀 Microphone:
Sensitivity -50 dB
⚠️ Important — Hardware Limitation: Most built-in microphones have a high-pass filter that removes frequencies below 80–100 Hz. Detecting true infrasound (<20 Hz) requires a measurement microphone, accelerometer, or specialized low-frequency sensor. Results below 20 Hz from consumer microphones may be artifacts or noise floor readings.
Hz
— dB
Source Identification
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Waiting for audio...
Start listening to identify infrasound sources.
🌐 Schumann Resonance Tracker
Detected Frequency
Level
The Schumann resonance fundamental is ~7.83 Hz, caused by the Earth–ionosphere electromagnetic cavity. Acoustic detections near this frequency are coincidental — true Schumann resonances are electromagnetic, not acoustic. This indicator highlights when detected infrasound falls within ±0.5 Hz of 7.83 Hz.
Device Compatibility
Not yet assessed — start listening to check
Your microphone's low-frequency response will be evaluated when audio capture begins.
Below 20 Hz: felt not heard
Infrasound is typically perceived as pressure changes, vibration, or physical sensations rather than audible sound. Strong infrasound can cause unease, resonance in body cavities, and visual disturbances.
Min Hz
Avg Hz
Max Hz
Duration
Infrasound Spectrum (0.5–20 Hz)
Slow Waveform (10-second window)
Infrasound Energy Over Time (60 sec)
Known Infrasound Sources
SourceFrequencyNotes
Ocean waves0.05–0.5 HzMicrobarom, ocean–atmosphere coupling
Building sway0.1–1 HzTall structures in wind, seismic response
Thunder1–3 HzLow rumble component, storm proximity
Wind turbines1–5 HzBlade-pass frequency, felt not heard
Seismic activity1–10 HzEarthquakes, volcanic tremor
Schumann resonance7.83 HzEarth–ionosphere waveguide, ~7.83 Hz fundamental
Industrial machinery5–15 HzLarge engines, compressors, turbines
Explosions / sonic booms0.5–10 HzBlast waves, re-entry vehicles
Avalanche / landslide1–5 HzLarge mass movement events
Severe weather0.5–5 HzTornados, hurricanes, microbursts
Infrasound Event Log
TimePeak HzLevel dBLikely Source
Analyze Audio File
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Drag & drop an audio file here, or click to browse
WAV, MP3, OGG, FLAC — analyzed for infrasound content (<20 Hz)

How to Use the Infrasound Frequency Detector

  1. Connect a Low-Frequency Sensor

    For real infrasound detection, connect a measurement microphone, accelerometer, or specialized infrasound sensor. Built-in laptop and phone microphones filter out frequencies below 80 Hz and cannot capture true infrasound.

  2. Start Long-Duration Listening

    Click "Start Listening" and grant microphone access. Infrasound events are often intermittent — leave the detector running for extended periods to capture transient events like seismic activity or wind turbine pulses.

  3. Read the Infrasound Display

    The large Hz number shows the dominant detected frequency below 20 Hz. The Source Identification card matches the frequency against known infrasound sources including Schumann resonance, seismic waves, and industrial machinery.

  4. Analyze the Slow Waveform

    The 10-second waveform shows slow pressure variations characteristic of infrasound. The Energy Over Time chart tracks infrasound energy across 60 seconds for spotting periodic events.

  5. Export Your Data

    Use Export CSV to download the event log with timestamps, frequencies, and source identifications for analysis or documentation.

Understanding Your Results

Frequency Ranges

Infrasound occupies the frequency range from approximately 0.001 Hz to 20 Hz. This tool focuses on the 0.5–20 Hz range, which covers the most commonly encountered natural and man-made infrasound sources. Frequencies below 0.5 Hz require extremely long recording windows and specialized equipment beyond what browser-based audio can provide.

Source Identification Confidence

Source matching is based on frequency overlap with known infrasound sources. Multiple sources can produce similar frequencies, so the identification should be treated as a suggestion rather than a definitive diagnosis. Environmental context (proximity to wind farms, geological activity, industrial sites) is essential for accurate identification.

Level Readings

Decibel values shown are relative to the microphone's sensitivity and are not calibrated sound pressure levels. For calibrated infrasound measurements, professional equipment with known sensitivity curves is required.

Technical Background

Infrasound — sound below the threshold of human hearing at 20 Hz — permeates our environment from both natural and artificial sources. The Earth’s atmosphere acts as a waveguide for infrasound, allowing these extremely low frequencies to propagate over thousands of kilometers with minimal attenuation. This property makes infrasound monitoring valuable for detecting volcanic eruptions, nuclear tests, meteorite entries, and severe weather events at great distances.

FFT Configuration for Sub-Hz Resolution

This tool uses an FFT size of 32,768 samples, the maximum supported by the Web Audio API. At a typical sample rate of 48 kHz, this yields a frequency resolution of approximately 1.46 Hz per bin (48000 / 32768). While this is adequate for identifying infrasound sources in the 1–20 Hz range, true sub-Hz resolution would require even longer analysis windows. The tool applies parabolic interpolation around peak bins to refine frequency estimates beyond the raw bin resolution.

DC Offset Removal

FFT bin 0 represents the DC component (0 Hz) of the signal — a constant offset with no oscillation. This tool explicitly ignores bin 0 during peak detection to prevent DC bias in the microphone signal from being misidentified as an infrasound frequency. Analysis begins at the lowest bin that corresponds to a frequency above 0.5 Hz.

Microphone Limitations

The most significant challenge in browser-based infrasound detection is hardware. Consumer microphones — particularly MEMS microphones in laptops and smartphones — incorporate high-pass filters with cutoff frequencies typically between 50–200 Hz. Even professional condenser microphones rarely extend flat response below 20 Hz. True infrasound measurement requires specialized equipment such as microbarometers, infrasound microphones with extended low-frequency response, or accelerometers coupled to the measurement surface. The device compatibility check in this tool evaluates whether your microphone shows any energy in the infrasound band, but the absence of detected infrasound does not necessarily mean it is not present — it may simply be below your hardware’s sensitivity.

Frequently Asked Questions

Can my phone or laptop microphone detect infrasound?

In most cases, no. Built-in MEMS microphones in phones and laptops have high-pass filters that remove frequencies below 80–200 Hz. Any readings below 20 Hz from consumer hardware are likely noise floor artifacts rather than real infrasound. For genuine infrasound detection, you need a measurement microphone, microbarometer, or accelerometer.

What is the Schumann resonance and can this tool detect it?

The Schumann resonances are electromagnetic resonances in the cavity between Earth’s surface and the ionosphere, with a fundamental frequency of approximately 7.83 Hz. These are electromagnetic, not acoustic phenomena and cannot be detected with a microphone. However, some acoustic sources in the same frequency range may appear at similar frequencies.

Why does the detector show "Device may not support infrasound" warning?

The tool checks whether your microphone produces any meaningful signal energy below 20 Hz. If the infrasound bins show only noise-floor-level readings, the warning indicates your hardware likely filters out these frequencies. This is normal for consumer microphones.

Can infrasound be harmful to health?

At very high levels (above 110–120 dB), infrasound can cause nausea, disorientation, visual disturbances, and organ resonance effects. At typical environmental levels, infrasound is generally harmless but may contribute to feelings of unease or anxiety in sensitive individuals. Prolonged exposure to moderate infrasound from sources like wind turbines is an active area of research.

What FFT size is needed for infrasound analysis?

The maximum FFT size in the Web Audio API is 32,768 samples. At 48 kHz sample rate, this gives ~1.46 Hz resolution per bin. For sub-Hz resolution, you would need an FFT size of 65,536+ or overlapping analysis windows, which exceeds current browser capabilities. This tool uses parabolic interpolation to refine estimates within the available resolution.

Is my audio data safe?

All processing runs 100% in your browser. No audio is recorded, stored, or transmitted to any server. The tool works entirely offline once loaded.