Snore Timeline 今までにない睡眠の見方を
夜のすべてのいびき・呼吸停止・睡眠音を明らかにするインタラクティブなタイムライン。
iOSで無料 · サブスクなし · チップを送る(役立ったら)
夜のすべてのいびき・呼吸停止・睡眠音を明らかにするインタラクティブなタイムライン。
iOSで無料 · サブスクなし · チップを送る(役立ったら)
すべてのエピソードを記録。すべてのパターンを可視化。
目覚めて、夜全体をインタラクティブなタイムラインで確認。スクロールし、時間帯にズームし、いびきのパターンを瞬時に発見。
AI検出がいびき、息切れ、咳、寝言、呼吸停止を識別 — 寝ている間にすべてリアルタイムで。
連続したいびきはエピソードにまとめられます。持続時間、回数、「3分間に12回」のようなわかりやすい要約を確認。
タイムラインの任意の瞬間をタップして、強化された音声を再生。自分の耳で確認できます。
夜ごと・週ごとに比較。詳細なCSVレポートと音声ファイルを書き出し、医師と共有したり、長期的な改善を追跡したり。
すべてはあなたのiPhone内に。クラウドアップロードなし、サーバーなし、アカウント不要。設計段階からの完全なプライバシー。
いびき検出に加え、当アルゴリズムは10秒以上の呼吸停止を識別 — 医師と話し合う価値のあるパターンを発見する助けになります。
正確なベースラインパターンを確立するため、聴き取れる呼吸を最低1分間監視
AIが10秒以上の静寂を識別 — 呼吸中断の重要な指標
静寂期間に続く大きな突発的ないびき、息切れ、咳、呼吸音を検出
正確なタイムスタンプにマーカーを配置し、中断の視覚マップを作成
Snore Timelineは、お使いの電話のマイクのみを使い、睡眠中の呼吸の規則性に関する公表された研究に基づき、浅い睡眠・深い睡眠・REMの段階を推定します。
電話のマイクから連続的に音声を取り込み、夜を通して呼吸数・規則性・いびきパターンを取得
約15分後、アルゴリズムが個人の呼吸数と規則性のベースラインを学習し、閾値を独自のパターンに合わせて調整
研究ベースの閾値が規則性と分散を分析。安定した低分散の呼吸は深い睡眠を示唆し、不規則で分散の高いパターンはREMを示唆
時間を考慮するロジックが自然な睡眠構造を考慮。深い睡眠は夜の早い時間にピークに達し、REMは朝に向けて増加
音声分析からの推定。医療機器ではありません。
ユーザーの言葉
"Incredible — It's simple and genius. I also genuinely appreciate the lack of tracking and data collection. A rare gesture of kindness from an app!"
"Brilliant app — Works extremely well and the UI is very nicely thought out. It's enabled me to identify a lot about my snoring problem."
"Free tracking that actually WORKS! Super stoked to finally have an app again that records sleep talking."
"Love the usability and cost — Finally something that is free, no ads and doesn't drain the battery too much!"
"Man, this app is amazing, beautifully designed, intuitive, everything just works and in real time!"
"Very helpful app — Just found this one on Reddit. The app is really helpful, I could not thank you enough."
"Just What I was looking for! — I downloaded and used this app last night, couldn't believe how simple and functional it was. I had tried several other apps that were so full of ads that they were not usable without a large ongoing subscription."
"Incredible — It's simple and genius. I also genuinely appreciate the lack of tracking and data collection. A rare gesture of kindness from an app!"
"Brilliant app — Works extremely well and the UI is very nicely thought out. It's enabled me to identify a lot about my snoring problem."
"Free tracking that actually WORKS! Super stoked to finally have an app again that records sleep talking."
"Love the usability and cost — Finally something that is free, no ads and doesn't drain the battery too much!"
"Man, this app is amazing, beautifully designed, intuitive, everything just works and in real time!"
"Very helpful app — Just found this one on Reddit. The app is really helpful, I could not thank you enough."
"Just What I was looking for! — I downloaded and used this app last night, couldn't believe how simple and functional it was. I had tried several other apps that were so full of ads that they were not usable without a large ongoing subscription."
"Une pépite (A gem) — Je suis absolument ravi d'avoir découvert cette application. Elle est ultra-performante: la détection est précise, et les enregistrements sont d'une clarté impressionnante. L'interface est top, tout est bien pensé."
"Sve što mi treba, a besplatno (Everything I need, and free) — Dugo mi je trebalo da nađem jednostavnu aplikaciju za detektiranje i snimanje hrkanja a da ne moram mjesečno plaćati. Ova aplikacija ima sve opcije koje mi trebaju, potpuno besplatno."
"The best ever — Please never take it off of appstore"
"Wow thanks I've just dl and opened it. I'm Impressed. Measuring my snoring tonight!"
"Amazing — Great app with lots of functionality and settings"
"Recommend — Great app, I really appreciate no ads, and the fact that it's free. I've been looking for an app that will record my sleep talking before for free and gave up. Now I finally found one!"
"Very Good — Very cool, is silent and record all. Try it. No pay no propaganda."
"Une pépite (A gem) — Je suis absolument ravi d'avoir découvert cette application. Elle est ultra-performante: la détection est précise, et les enregistrements sont d'une clarté impressionnante. L'interface est top, tout est bien pensé."
"Sve što mi treba, a besplatno (Everything I need, and free) — Dugo mi je trebalo da nađem jednostavnu aplikaciju za detektiranje i snimanje hrkanja a da ne moram mjesečno plaćati. Ova aplikacija ima sve opcije koje mi trebaju, potpuno besplatno."
"The best ever — Please never take it off of appstore"
"Wow thanks I've just dl and opened it. I'm Impressed. Measuring my snoring tonight!"
"Amazing — Great app with lots of functionality and settings"
"Recommend — Great app, I really appreciate no ads, and the fact that it's free. I've been looking for an app that will record my sleep talking before for free and gave up. Now I finally found one!"
"Very Good — Very cool, is silent and record all. Try it. No pay no propaganda."
Snore Timelineについて知っておくべきすべて
You can export the entire night's audio as a single file, or bulk download all your snoring episodes at once. Exported files are saved to your iPhone's Files app.
To find your exported files:
Your files are organized into:
Yes. Recordings are saved to your Files app and can also be shared anywhere via the share sheet — AirDrop, Messages, email, ChatGPT, and more.
To share the full night:For snoring detection, 3-4 feet away works well. To capture breathing signals for disruption detection, place your phone 1-2 feet away—breathing must be clearly audible to be detected. Ideal placement is on a nightstand near your bed, plugged in for charging.
Snore Timeline focuses on what matters most: a complete, uncompromised view of your sleep. Unlike other apps that use data sampling, our snore recorder with timeline visualization captures and analyzes every sound in real-time. You get an interactive timeline that shows every snoring episode—no shortcuts taken, just meticulous attention to detail.
No. Snore Timeline is completely free with no subscription required. All features are included: breathing disruption detection, episode grouping, nightly summaries, and data export—no hidden costs or in-app purchases.
Yes, Snore Timeline detects breathing pauses by analyzing your sleep audio. It identifies extended silent periods (10+ seconds) followed by gasps or recovery sounds. The app marks these breathing disruptions on your timeline so you can see patterns. Note: This is audio analysis only, not a medical device. Breathing pauses may be worth discussing with a healthcare professional.
Snore Timeline uses Apple's proven sound classification technology to continuously analyze your audio in real-time throughout the night. Detection starts immediately with no calibration or setup needed. The app identifies snoring, gasps, coughs, breathing, and sleep talking by analyzing both the sound patterns and frequency characteristics of each audio segment. All processing happens entirely on your device for complete privacy.
Snore Timeline is a snoring app that shows episodes by grouping consecutive snore signals together. When snoring is detected, the app creates an episode. If no snoring occurs for 30 seconds, that episode ends and a new one begins when snoring resumes. Each episode displays duration, snore count, and a plain-English summary. This helps you see patterns and understand exactly when you snored most during the night.
Absolutely. All audio processing happens entirely on your iPhone—no cloud uploads, no external servers, no accounts required. Your recordings stay on your device and only you have access to them. You can export data to share with doctors while maintaining complete privacy.
Yes! Snore Timeline supports Bluetooth audio devices including AirPods, making it easy to record throughout the night without draining your phone's battery.
Snore Timeline is optimized for overnight recording. Most users report 20-30% battery drain over 8 hours of recording. We recommend keeping your phone plugged in during recording for best results.
This usually happens when iOS interrupts the app's audio session while it runs in the background. Anything that plays a sound—a phone call, an alarm from another app, or certain notifications—can trigger an interruption. The app attempts to resume recording automatically, but if the interruption lasted too long, iOS will not allow it to restart without you reopening the app.
Fix: Enable Do Not Disturb or a Focus mode before you start recording. This blocks calls and notification sounds that would interrupt the session.
Loud Sound Detection creates episodes whenever sounds exceed your chosen dB threshold. This is useful for catching sounds that are hard to classify—like whispers or mumblings that don't register as sleep talking. Snoring and sleep talking are already detected automatically without this setting. To find the right threshold: start a recording and stay quiet while watching the live dB meter. Note your room's ambient noise level (typically 30-40 dB), then set your threshold 15-20 dB higher so only meaningful sounds trigger episodes.
The audio quality settings exist to help you save storage space on your device. Ideally, you should always use High Fidelity for the best recordings. Only choose Basic (~8 MB/hour) or Standard (~15 MB/hour) if you need to save space—these trim higher frequencies to reduce file size. If you want to hear yourself breathing in recordings, you must use High Fidelity (~25 MB/hour), as Basic and Standard cut out the subtle frequencies where breathing sounds occur.
Snore Timeline analyzes the regularity of your breathing throughout the night using your phone's microphone. After approximately 15 minutes of recording, the algorithm establishes your personal breathing baseline. It then classifies periods into Awake, Light Sleep, Deep Sleep, and REM based on research-backed thresholds—steady, regular breathing suggests deep sleep, while irregular patterns indicate REM. The algorithm is also time-aware, accounting for the natural progression of sleep stages throughout the night. These are estimates from audio analysis, not clinical measurements.
The sleep stage estimates are based on published research into the relationship between breathing regularity and sleep stages. They provide a useful picture of your general sleep architecture and trends over time. However, they have not been validated against polysomnography (clinical sleep studies) and should be treated as estimates, not diagnoses. For clinical sleep analysis, consult a healthcare professional.
Research using similar audio-based methods has achieved approximately 70% accuracy when validated against polysomnography.
研究参考文献:
No. Sleep stage estimation works automatically using the same audio recording as snoring and breathing disruption detection. Just place your phone 1-2 feet away on your nightstand and start recording. The algorithm needs approximately 15 minutes to establish your personal breathing baseline. For the most consistent results, use the same phone placement each night.
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