100% On-Device Sound ML · Zero Cloud Upload

Privacy-First Night Snoring Monitor

Automatically capture and review nighttime snoring audio clips with Apple SoundAnalysis machine learning. Ultra low power consumption, intelligent decibel triggers, and 100% local sandbox privacy.

● PASSIVE MONITORING 34 dB (Ambient)
Apple SoundAnalysis DSP Emulation
Trigger Sensitivity Threshold 55 dB
Interactive Simulation Trigger Web Audio Ready

Smart Monitoring Without Compromise

Focused specifically on recording authentic snoring episodes, avoiding sleep bloat, and protecting user privacy.

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100% Local Privacy

Audio waveforms and AAC recordings are stored strictly inside your iOS app sandbox. No accounts, no cloud sync, and zero voice surveillance.

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SoundAnalysis ML

Combines decibel amplitude triggers with iOS native SoundAnalysis audio classification to distinguish real snoring from room noises.

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Low-Power Overnight DSP

High-efficiency circular buffer audio engine uses minimal CPU and battery during sleep. Safe for all-night nightstand monitoring.

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Background Lock Screen

Runs silently even when the iPhone screen is locked. Pre-buffers 3 seconds before each trigger so you never miss the onset of an episode.

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Timeline & Waveforms

Visual audio spectrogram playback, organized by calendar date. Easily listen to your snoring clips or export them for medical reference.

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Zero Gimmicks & Bloat

No intrusive social feeds, endless upsells, or fake sleep scores. A clean, reliable utility built to do one essential job exceptionally well.

Built on Strict Device Sandbox Integrity

SnoreCatcher requests microphone access purely to perform real-time local decibel metering and snore identification. Audio never leaves your physical phone. Full compliance with Apple ATT, GDPR, and Google AdMob.

Read Full Privacy Policy →