For different sound conditions in your room (a quiet or loud environment).
Accurate snoring detection based on A.I.
Send recordings via email, iMessage or post to Facebook.
Set your own alarms, daily alarms, weekly alarms, etc. You can use included alarm sounds or your own iPod music.
Wake up with gradual alarm when you are in your lightest sleep phase (based on your movements).
Sleep cycle analyzes and statistics with complete history and beautiful charts.
No need to unlock screen or enter password.
Possibility of playing chosen sound or using iPhone vibration when the snoring is detected.
More than 40 sounds with the possibility to mix these sounds together.
User can place factors (alcohol, coffee, stress etc.) to every night as well as the mood after waking up or add own notes.
Start monitoring after a period of time.
Monitoring runs also in background mode. Alarm also fires from background.
Synchronization among your devices and between free and paid version.
Records your talk or snoring while you are asleep (automatic or manual sensitivity level, records only snoring using smart snoring detection), creates the graph of noise in room during the night, takes the total time of snoring down.
Helps you to wake up easy in your lightest sleep phase and allows you to get up relaxed every morning. Improve your sleep naturally, maximize your sleep efficiency.
Tries to stop your snoring by playing chosen sound or using iPhone vibration when the snoring is detected.
Plays sounds which are specially selected to make you relax and makes your falling asleep easier. Surely you will appreciate a function - automatic fade out time - if the application detects you are asleep, it will automatically stop playing sounds.
By using the tracker data and by defining your own factors (activities/means/drugs/custom notes) it is possible to find out which facts influence your sleep positively and limit your snoring. At your disposal there are beautiful statistic charts for simple and efficient analyzing of your sleeps/nights.
Snoring detection is based on artificial intelligence (A.I.) with the support of a new Apple machine learning technology. By using a large number of snoring samples, we can achieve high accuracy in statistics and in snoring detection itself.
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