Muzz - Audio Spectrum Analyzer app icon

Apps Like Muzz - Audio Spectrum Analyzer for iPhone and iPad

by Amit Nadir★ 1.02 ratingsUtilities$5.99Data updated 2026-09-06
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Muzz - Audio Spectrum Analyzer screenshots

Ranked alternatives

Showing 501–520 of 1,000 ranked alternatives.

  2. VibraPad app icon

    VibraPad

    Motionics, LLC

    Learn vibration analysis for machinery.

    The app teaches vibration analysis for rotating machinery. Users can build systems from a component library, define specifications, and view fundamental frequencies and spectrums.

    ★ 4.01 ratingsEducation$119.99Data updated 2026-09-21
    App details
  6. SoundScope: Audio Toolkit app icon

    SoundScope: Audio Toolkit

    ROBERT PRICE

    Measure sound, analyze frequencies, record

    Measure and analyze sound with real-time decibel readings and color-coded safety indicators. Track minimum, maximum, and average levels. Save measurements with location and notes. Receive warnings at dangerous sound levels.

    ★ 0.00 ratingsUtilitiesFreeData updated 2026-09-06
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  9. CO2ART app icon

    CO2ART

    CO2Art Technologies Limited

    ★ 0.00 ratingsUtilitiesFreeData updated 2026-09-06
    App details
  10. Display Maestro app icon

    Display Maestro

    Koingo Software, Inc.

    Unlock displays and set resolutions

    Manage multiple displays with full resolution and bit depth control. Adjust settings to use all available resolutions. Bypass operating system restrictions to access hidden options.

    ★ 0.00 ratingsUtilities$6.99Data updated 2026-09-08
    App details
  13. Spectrometry app icon

    Spectrometry

    PASCO scientific

    Measure absorbance and transmittance

    Measure absorbance, transmittance, and fluorescence of solutions using a PASCO Wireless Spectrometer. Analyze full spectra and perform Beer’s law and kinetics experiments. Connect via USB or Bluetooth and view real-time data graphs.

    ★ 4.04 ratingsEducationFreeData updated 2026-09-09
    App details

How we rank alternatives

Apps are ranked by functional similarity, category fit, rating confidence, and popularity.