Noise: Focus
Ambient sounds for focus
Only for iPhone
$1.99 · Designed for iPhone. Not verified for macOS.
iPhone
Instantly cover chewing, tapping, and other trigger sounds with subtle, non-distracting audio. Built for meals, offices, and flights when you need relief fast.
Instantly cover chewing, tapping, and other trigger sounds.
Designed for people sensitive to everyday noise (often called misophonia).
Noise: Focus is a fast, minimal tool for managing distracting or overwhelming sounds in real time.
Use it during meals, in the office, while traveling, or anywhere silence makes trigger sounds worse.
Instead of music, Noise uses subtle, neutral textures that sit in the background—so you can stay present without drawing attention.
• One-tap sound masking for immediate relief
• Subtle audio designed to avoid distraction
• Adjustable intensity for different environments
• Minimal interface—no setup, no friction
Not a meditation app. Not a sleep app.
Just a fast, discreet way to stay focused when sound becomes the problem.
Ratings & Reviews
Noise is now tuned for real-world trigger sounds like chewing and tapping.
Press play and the interface fades away so only the sound remains.
Long-press anywhere to instantly boost to full volume—release to return.
Same simple sounds: rain, fire, wind.
The developer, Algorithmic Research Group, indicated that the app’s privacy practices may include handling of data as described below. For more information, see the developer’s privacy policy .
Data Not Collected
The developer does not collect any data from this app.
Accessibility
The developer has not yet indicated which accessibility features this app supports. Learn More
Information
- Seller
- Algorithmic Research Group, Inc.
- Size
- 254.9 MB
- Category
- Productivity
- Compatibility
Requires iOS 26.0 or later.
- iPhone
Requires iOS 26.0 or later. - Mac
Requires macOS 26.0 or later and a Mac with Apple M1 chip or later. - Apple Vision
Requires visionOS 26.0 or later.
- iPhone
- Languages
- English
- Age Rating
4+
- 4+
- Copyright
- © 2026 Algorithmic Research Group

