Apps Like SPLnFFT Noise Meter for iPhone and iPad
Sound level meter frequency analyzer generator
The app measures sound levels using a digital display for sound power and an analog display for fast mode. It also features real-time FFT frequency analysis with highlighted predominant frequencies and their power.
SPLnFFT Noise Meter screenshots
Ranked alternatives
Showing 461–480 of 1,000 ranked alternatives.




Tesla Fields
Francesco Tripicchio
Measure magnetic in real time
Measure electromagnetic field strength in microTesla or milliGauss. Display field strength with visual indicators. Check exposure levels in real time. Calibrate and save measurement data. Share results via email or social media.




FabFilter Pro-L 2
FabFilter
Limit audio peaks and master tracks
Apply real-time microphone input filtering and playback. Use as a plug-in with AUv3-compatible hosts. Limit audio with multiple algorithms. Display true peak and loudness meters. Adjust oversampling and dithering settings.




SINAMICS SELECTOR
Siemens AG
Compile SINAMICS converter article numbers easily.
The app compiles article numbers for SINAMICS low-voltage converters. Users select applications, power, and options to find suitable frequency inverters and servo drive systems.

Pest Repel - Bug Repellent App
iDevver Apps Limited
Repel insects with high frequency sound.
The app emits ultra-high frequency sound to deter mosquitoes, wasps, and spiders. It also provides educational facts about these insects and their habits.

VibraUnits
Motionics, LLC
Convert vibration units accurately
Convert vibration units including velocity, acceleration, and displacement. Switch between Hz and CPM for frequency. Convert displacement between mils and microns with options for RMS, 0-peak, and peak-peak.


Lambda
Dave Guerin
Convert notes, frequencies, and wavelengths.
The app converts between musical notes, frequencies, and wavelengths. It includes an oscillator to hear frequencies and a frequency tracker that displays the audio waveform.

How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.