Apps Like FAC Maxima for iPhone and iPad
Boost audio levels automatically
Adjust audio levels automatically to maintain consistency without exceeding 0dB. Apply dynamic processors for transparent signal boosting or significant level maximization. Customize settings with a small set of parameters for precise control.
FAC Maxima screenshots
Ranked alternatives
Showing 361–380 of 1,000 ranked alternatives.
Djaminn: The Talent Platform
Djaminn BV
Upload tracks, share videos, connect with musicians
Upload music tracks and videos to share with a global community. Connect with other musicians for collaboration. Record and edit audio. Track progress and build a profile to increase visibility. Share content across social media platforms.
WOW Filterbox
Sugar Bytes GmbH
Stream audio and apply filters
Apply audio filters with 21 types including lowpass, bandpass, and comb. Adjust filter slopes up to 48 dB using SVF, diode ladder, and transistor ladder. Add distortions and modulations for sound effects. Output processed audio files.
Volume by Velocity
Gamifi, LLC
Adjust with your speed
Control music based on driving speed using an algorithm that adjusts to counteract road noise. Switch between automatic mode for optimized noise reduction and manual mode for full control.
Manifold - For The Octatrack
Marcos Kohler
Morph and randomize track parameters
Manipulate MIDI parameters across all tracks simultaneously. Randomize, morph, and normalize track settings. Adjust sample start and FX offsets in real time. Control volume, mute, and solo functions via a dedicated mixer.
AUFX:Space
Kymatica AB
Real time reverb audio effect app
The app provides a real-time reverb audio effect with a 32-bit DSP engine. It allows users to adjust numerous parameters for diverse sounds and includes built-in resonant filters.
TweakyBeat
Rodrigo Yanez
Simple synth drum machine with personality.
The app is a monophonic synthesizer used as a step sequencer. It creates synthesized drum loops with a simple interface.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.