Snollo Sleep Tracker FAQ

No — Snollo works without an Apple Watch. The iPhone microphone detects snoring, breathing, coughing, and sleep talking, and you still get sleep stages. Without a Watch, sleep stages are derived from the iPhone's microphone and motion sensors, so you must grant both Microphone and Motion & Fitness permissions when the app asks — without them, stages won't be detected. What you don't get without a Watch: the heart-rate, breathing-rate, and blood-oxygen (SpO2) charts — those require Apple Watch sensors and Apple Health permission so Snollo can read them. Placement also changes: without a Watch the iPhone must be on the bed near you so the mic can reach you; with a Watch it can stay on the nightstand. All of these are Apple privacy controls — Snollo respects them, so any chart or metric only appears once you grant the matching permission.

Yes. Snollo does not start on its own. If you don't open the app and tap Start before bed, nothing is recorded: no snore detection, no sleep stages, no audio clips. Once you tap Start, the session runs overnight until you stop it in the morning.

If you wear an Apple Watch to bed, the iPhone can stay on the nightstand — the Watch handles motion, heart rate, and breathing. If you don't wear a Watch, place the iPhone on the bed near you, mouthpiece facing you, so the microphone can pick up snoring and breath sounds clearly.

Snollo asks for three iOS permissions, all of which are Apple privacy controls that Snollo fully respects: Microphone (to detect snoring, breathing, coughing, sleep talking — required), Motion & Fitness (to detect sleep stages from iPhone movement when you sleep without an Apple Watch — required for stages in that case), and Apple Health (to read Apple Watch heart rate, HRV, blood oxygen, and breathing rate, and to write your sleep data back to Health — required for the heart-rate, breathing-rate, and SpO2 charts and for Apple Health sync). The matching data only appears in the app if you grant the corresponding permission. If a chart or metric is empty, the most likely cause is a permission that was declined or revoked — check Settings → Privacy & Security and Settings → Health → Data Access to grant access.

Snollo classifies audio on your iPhone 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 classifies audio on your iPhone. Anything saved — sleep stages, event metadata, the short clips you choose to keep — lives in your own iCloud, under your Apple ID, across the Apple devices you sign into.

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.

Your sleep data is yours. Audio is classified on your iPhone; nothing about classification leaves the device. The saved results — sleep stages, event metadata, and any clips you keep — live in your own iCloud, under your Apple ID. There is no separate Snollo account, and the data syncs across the Apple devices you choose, not anywhere else.

Snollo tracks Core sleep (Apple's term for what other apps call Light), Deep sleep, and REM sleep using data from your Apple Watch heart rate and motion sensors. Each morning you get a full breakdown — 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, sleep stage breakdown, Apple Watch integration, and 7 days of history. Premium unlocks unlimited recordings, full history, the complete sleep sounds library, and 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 — peer-reviewed validation work puts agreement with lab sleep studies in the 80–90% range for sleep/wake classification (see [our research summary](/blog/how-accurate-is-apple-watch-sleep-tracking/) for citations). 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 through Apple Health: Snollo classifies sounds on your iPhone, then correlates them with the Apple Watch sleep stage data for a full picture of your night.

Snollo is built around a simple privacy story: audio classification runs on your iPhone, and the saved results live in your own iCloud under your Apple ID. Raw microphone audio is processed in memory and discarded; only event metadata and the short clips you save get written anywhere. Snollo uses the Apple ID you already have — there is no separate Snollo account, no extra sign-up. By comparison, apps like SnoreLab and Sleep Cycle have been flagged for third-party data sharing and cloud-based audio processing.

Audio classification runs on your iPhone in real time, then the raw audio is discarded. Anything saved — sleep scores, stages, sound clips — lives in your own iCloud, under your Apple ID, and syncs across the Apple devices you sign into. Snollo doesn't run its own server for any of this; the storage is yours, the Apple ID is yours, the data is yours.

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 diagnose sleep apnea. Only a physician-ordered sleep study (in a lab, or an at-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. It uses the Apple ID you already have, so there's no separate Snollo account or credit card to set up. The free tier includes AI snoring and sound detection, sleep stages when you wear an Apple Watch (motion-based sleep inference without one), and 7 days of sleep history. Premium ($5.99/month in your region) is an auto-renewable subscription that unlocks unlimited sound recordings, full sleep history, the complete sleep sounds library, and 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 reach 85–92% accuracy for snore/non-snore classification compared to clinical recordings, in peer-reviewed validation work. 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.