Apps Like IoT Meter for iPhone and iPad
IoT Meter screenshots
Ranked alternatives
Showing 501–520 of 832 ranked alternatives.





Decibel Meter-Noise monitoring
Mirarobot Science & Technology Co., Ltd.
Measure noise, track decibels, generate reports
Measure ambient noise levels in real time and save data locally. Generate visual reports from collected data. Record noise changes with camera forensics.


PPFD METER - Grow Light Meter
Candas Pamukcu
Measure intensity and track values
Measure intensity with built-in phone sensors or Bluetooth-connected UNI-T UT383 BT sensor. Display values in lux and micromoles. Track exposure over time. Save and export measurement data. Set level alerts.






Decibel Meter - dB Noise Level
PAO APPS PTE. LTD.
Measure sound levels in real time
Measure environmental levels in real time using your device's microphone. Display readings accurately. Detect and monitor sound levels at home, work, or outdoors.

Spl Meter : Measure Decibels
CODIGITAL SOLUTIONS - FZCO
Sound, track , visualize audio
With precise noise level detection. Monitor sound in real time with live audio updates. Calibrate for accurate readings using reference tones. Switch between light and dark modes for visibility.



Metal Detector PRO - Meter
Jose Bello
Detect objects with your device
Detect objects using the magnetometer. Identify nearby ferromagnetic items like wires, pipes, and keys. Locate magnetic fields and hidden wood studs in walls. Move the device to track changes in magnetic readings.

Taxi HK Meter 的士咪錶
Reach Technologies Limited
Simulates Hong Kong taxi meter fares.
The app simulates a Hong Kong Taxi Meter using GPS to track speed. It displays distance traveled, wait time, and instantaneous speed, featuring Hong Kong taxi fare information.


Photo Meter –Picture Measuring
Yegor Kurbachev
Measure anything from a picture.
The app measures object sizes from pictures. Users can photograph an object next to a reference item, like a credit card, for size calculation.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.