Apps Like Bluetooth Tool - Debug for iPhone and iPad
Ranked alternatives
Showing 161–180 of 1,000 ranked alternatives.
Easy Find my bluetooth device
Maria Mamina
Your with signal strength guidance
Locate lost devices by selecting them and scanning to increase signal strength. Devices must be powered on and in range. No GPS used. Supported devices include AirPods, Apple devices, and wireless headsets.
iNFC
强 曾
Write NFC tags with iPhone
Write Bin data to NTAG 215 tags via iPhone. Connect to Pixl.js and PCR panda devices via Bluetooth. Perform NDEF tag read and write operations. Sync data with iCloud. Support DFU firmware updates for hardware devices.
BLE Controller – Arduino ESP32
CircuitMagic Inc.
Control devices with Bluetooth and serial terminal
Control IoT devices like , , and Micro:bit via Bluetooth Low Energy. Send commands, view serial data, and adjust parameters remotely. Customize control interfaces and monitor real-time sensor inputs.
Find Device: DeviceMap
Nanko Nottels
Lost Bluetooth devices
Locates lost Bluetooth accessories by scanning nearby BLE devices. Users can identify devices by name and identifier. The guides users to the target with clear tools.
Find Bluetooth Devices Lost
Do Tri
Locate with a tap
Locate using signal strength and map data. nearby with a few clicks. Supports Apple , earphones, smartwatches, and fitness trackers. One-time purchase for lifetime use.
Nexus Updater
ShenZhen Lenze Technology Co,.Ltd.
Scan Bluetooth devices and view details
Scan nearby Bluetooth devices to view their names, MAC addresses, and signal strength. Analyze device data for compatibility checks. Upload information to a server for recognition.
Lirum Device Info
Lirum Labs Technologies Inc.
Monitor specs and sensor data
Displays real-time CPU and memory usage. Shows battery level and charging status. Provides live sensor data including accelerometer, gyroscope, and barometer. Displays location with accuracy and altitude. Shows Bluetooth LE advertisement details.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.