Dog Whistle & Clicker Whistler
Dog Whistle & Clicker Whistler Summary
Dog Whistle & Clicker Whistler is a with in-app purchases iOS app in Tools by Tofik Dardis. Released in Feb 2026 (1 month ago). It has 17 ratings with a 5.00★ (excellent) average. Based on AppGoblin estimates, it reaches roughly 297 monthly active users and generates around $<10K monthly revenue (100% IAP / 0% ads). Store metadata: updated Feb 5, 2026.
Recent activity: 2.00 new ratings this week View trends →
Store info: Last updated on App Store on Feb 5, 2026 .
5★
Ratings: 17
Screenshots
App Description
Dog Whistle & Clicker Whistler is a sound utility app that provides adjustable whistle frequencies, clicker sounds, and squeaker sounds commonly used for basic dog training, play, and attention signaling. The app offers manual frequency control, preset sound modes, and instant playback through a simple interface.
The app does not guarantee training outcomes. Effectiveness varies based on the dog, environment, device hardware, and training consistency.
Key Features
Adjustable Dog Whistle Frequencies
Generate high-frequency whistle sounds with manual frequency adjustment. Users can test different ranges to identify which sounds gain a dog’s attention. Actual frequency output depends on device speaker limitations.
Clicker Training Sound
Includes a standard clicker sound commonly used in positive reinforcement training. Designed for quick, precise playback timing.
Dog Squeaker Sounds
Multiple squeaker-style sounds similar to dog toys. Intended for play interaction, attention gaining, or engagement during training sessions.
Preset Sound Modes
Quick-access presets for whistle, clicker, and squeaker sounds without manual tuning.
Simple and Lightweight Interface
Minimal controls for fast use during walks, playtime, or training.
Offline Use
All sounds are generated locally. No internet connection required.
Volume Awareness
Users control device volume. Responsible use is required to avoid discomfort.
Terms of Use (EULA): https://www.apple.com/legal/internet-services/itunes/dev/stdeula