Apps Like Device Scanner Find: 1-Detect for iPhone and iPad
Ranked alternatives
Showing 361–380 of 1,000 ranked alternatives.


BlueScan: Bluetooth Finder
Siham Aater Taleb
Find nearby devices quickly
Locate nearby devices by scanning. View real-time signal strength to guide movement. Connect to devices for additional actions. Track device names and locations.



Speed Test - WiFi Analyzer +
方勇 侯
Your network and connection
Internet for 2G, 3G, 4G, 5G, DSL, ADSL, and Wi-Fi. Measure download to verify actual performance. Diagnose network issues and identify bottlenecks. Save and compare results over time.



Hidden Cameras Detector App
Adan Malon
Detect and secure your space
Detects and devices in your surroundings through environmental scans. Identifies potential security risks in private spaces like hotel rooms or changing areas. Scans for Bluetooth devices to enhance privacy protection.




Device Tracker: BLE Finder ・
Noah Rivera
Track lost devices instantly with Bluetooth
Track Bluetooth devices with real-time location updates. View status and signal strength on a map. Play a sound to locate nearby devices. Lock or wipe devices remotely. Receive notifications when devices come into range.



Hidden Secret Camera Detector
Ayana Zari Smith
Detect devices and secure your space
Detect surveillance devices using AR markers to visualize their locations. Scan environments to identify potential cameras. Alert users to suspicious activity and provide guidance on removing or blocking devices.




Device Tracker - Find My Pods
Kamalkumar Trapasiya
Bluetooth devices instantly
Finder allows users to track Bluetooth devices in real time. Users can view locations and check distances. The enables quick identification and retrieval of lost wireless gadgets.

Device Detector : Find devices
yohan teixeira
Detect Bluetooth and WiFi
Detect via Bluetooth and WiFi in real time. Locate lost gadgets by checking connection status. Identify nearby and verify if they are connected to your home WiFi.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.