Apps Like NoiSee for iPhone and iPad
Measure sound levels accurately
Measure sound levels with a professional-grade sound level meter. Display decibel readings, frequency analysis, and real-time data. Set sampling intervals, average measurements, and export results. Track maximum and minimum levels.
NoiSee screenshots
Ranked alternatives
Showing 481–500 of 1,000 ranked alternatives.
Copeland Cold Chain Connect
Copeland LP
Via Bluetooth and view refrigeration data
Monitor real-time refrigeration system data including air temperatures, system state, relay status, valve status, superheat, suction pressures, and active alarms. View graphs, override components, and access parameters for servicing and maintenance.
TB MBC
Dirk Breebaart
Shape audio with 12 bands and saturation
Adjust audio tracks with up to 12 configurable frequency bands. Apply two compressor curves per band. Add upward and downward saturation. Use external side chain inputs for dynamic control.
Hearing Aid lite
TiAu Engineering UG haftungsbeschraenkt
Hear conversations in noisy places.
The app records conversations using the device's microphone and filters out ambient sound. Users can listen to the adjusted audio through headphones, speakers, or Bluetooth devices.
ToolPaK
Christophe Vichery
A collection of tools for iOS.
The app provides a collection of utilities including a flashlight, compass, spirit level, and measuring tools. It also features a Morse code transmitter and a VU meter for user convenience.
Face4Pass XP
Giuseppe Cigala
Create document photos easily and quickly.
The app allows users to create document photos for passports and identity cards. It offers image editing tools, size adjustments, and multiple output options for printing.
iVibraMeter
Motionics, LLC
Machine condition monitoring tool for iPad.
The app connects to a data acquisition box to collect real-time overall RMS vibration values. It displays these values with a severity bar based on industry standards and allows for report generation.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.