Snollo Sleep Tracker FAQ

No — Snollo works as a sleep tracker for iPhone without an Apple Watch. Just place your iPhone on the nightstand and it will detect snoring via microphone. The Apple Watch adds more accurate heart rate data and detailed sleep stage breakdowns (REM, Deep, Light), but it is entirely optional.

Snollo uses Apple's CoreML framework to analyze audio on-device in real time. In our testing, it accurately identifies snoring, breathing patterns, coughing, and sleep talking. You can listen back to any detected sound to verify it yourself.

Snollo processes everything on-device using Apple's CoreML. All saved data is stored in your private iCloud account. Snollo has no servers and no access to your audio recordings or sleep history.

In our tests, overnight iPhone battery drain is typically 10–15%. We recommend keeping your phone plugged in if you use the continuous audio recording feature.

Snollo is built so it cannot access your data. All audio processing happens on your iPhone using Apple's CoreML. Recordings are stored exclusively in your private iCloud container. Snollo has no servers, no accounts, and no mechanism to transmit your sleep data — ever.

Snollo tracks Light sleep, Deep sleep (slow-wave), and REM sleep using data from your Apple Watch heart rate and motion sensors. Each morning you get a full breakdown of your sleep architecture — how long you spent in each stage and how it compares to your personal baseline.

The core app includes AI sound detection, basic sleep stages, Apple Watch integration, and 7 days of history — no subscription required. Premium adds unlimited recordings, full history, the complete sound library, and detailed weekly stats.

Yes. Snollo is free to download with no credit card required. The free tier includes AI sound detection, basic sleep stage breakdown, Apple Watch integration, and 7 days of history. Premium unlocks unlimited recordings, full history, the complete sleep sounds library, and advanced AI insights.

Sleep tracking apps like Snollo use two data streams: a microphone to capture sounds (snoring, breathing, sleep talking), and motion/heart rate sensors from iPhone or Apple Watch. Machine learning models analyze these signals in real time to classify your sleep stage — Light, Deep, or REM — approximately every 30 seconds throughout the night.

Consumer sleep trackers are generally accurate for identifying sleep vs. wake and broad stage detection, with studies showing 80–90% agreement with clinical polysomnography for sleep/wake classification. Devices with heart rate monitoring (like Apple Watch) are more accurate than accelerometer-only trackers. For clinical diagnosis of sleep disorders, consult a physician.

A good sleep score in Snollo (80–100) reflects sufficient total sleep (7–9 hours for adults), appropriate time in Deep and REM stages, few interruptions, and consistent timing. Scores below 70 suggest areas for improvement. Rather than optimizing for a number, focus on feeling rested — the score is a guide, not a goal.

No — Apple Watch does not natively record or detect snoring sounds. Apple Watch uses its accelerometer to detect breathing disturbances during sleep, but it does not use a microphone to capture audio. Third-party apps like Snollo pair your iPhone's microphone with Apple Watch heart rate and motion data to provide comprehensive snore tracking: Snollo records and analyzes sounds on-device using Core ML, then correlates them with your Apple Watch sleep stage data for a full picture of your night.

Snollo is designed from the ground up to be the most private sleep tracking app available. All audio processing happens on-device using Apple's Core ML framework — your microphone recordings are never transmitted anywhere. Sleep data is stored exclusively in your private iCloud CloudKit container, which only you can access. Snollo has no user accounts, no external servers, and no analytics that touch your personal sleep or audio data. By comparison, apps like SnoreLab and Sleep Cycle have been flagged for third-party data sharing and cloud-based audio processing.

With Snollo, your sleep data never leaves your devices. Audio recordings are processed on your iPhone using Core ML (on-device AI inference) and immediately discarded or stored locally. Any saved data — sleep scores, stages, sound clips — is written exclusively to your private iCloud CloudKit container using end-to-end encryption. Snollo operates with zero server infrastructure for user data: we have no database of your recordings, no ability to access your history, and no mechanism to transmit your data to third parties.

Consumer sleep apps, including Snollo, can identify patterns associated with sleep-disordered breathing — such as frequent snoring episodes, irregular breathing sounds, and low oxygen-related wakefulness — but they cannot clinically diagnose sleep apnea. Only a physician-ordered sleep study (polysomnography or an HST home sleep test) can provide a formal diagnosis. If Snollo's snoring detection shows frequent or loud events night after night, that's a useful signal to discuss with your doctor.

Yes — Snollo is free to download on iPhone with no credit card or account required. The free tier includes AI snoring and sound detection, basic sleep stage breakdown using Apple Watch, and 7 days of sleep history. Premium (starting at $4.99/month) unlocks unlimited sound recordings, full sleep history, the complete sleep sounds library, and advanced AI insights. All processing is on-device regardless of plan.

Yes, with important caveats. Apps like Snollo that use a smartphone microphone and machine learning can accurately detect and classify snoring sounds, with studies showing 85–92% accuracy for snore/non-snore classification compared to clinical recordings. They are effective for: confirming whether you snore, estimating snore frequency and intensity, identifying positional patterns, and tracking improvement after lifestyle changes. They are not substitutes for clinical sleep studies and cannot diagnose sleep apnea on their own.