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An AI audio enhancer is a software tool that uses artificial intelligence to improve the overall sound quality of audio or video recordings. It can be used in post-production to clean up a noisy interview or in real time during recording or livestreaming.
Unlike a standard audio equalizer, which adjusts specific frequency bands like treble or bass, an AI audio enhancer improves the overall quality of a recording. Sound equalizing can be a part of this process.
The main features of an AI audio enhancer include:
AI audio enhancers are commonly used for podcasts, videos, livestreams, voiceovers, tutorials, and customer content.
You can improve low-quality audio by optimizing both your recording setup and your editing process.
Here are some tips:
To improve audio pre-production:
To improve audio post-production:
Starting with clean audio makes enhancement tools more effective.
Magic Audio is Riverside’s AI-powered audio enhancer that automatically improves the sound quality of your recordings with one click. It reduces background noise, balances volume levels, removes reverb, and enhances voice clarity.
The end result makes your audio sound polished and studio-quality without manual editing.
The best way to achieve professional audio is to record clean audio before applying enhancement.
Best practices include:
Clean recordings produce better enhancement results.
Magic Audio works independently of language or accent because it enhances sound characteristics rather than transcribing speech. It improves audio quality by reducing noise, balancing levels, and clarifying voice tone.
It can identify the characteristics of the human voice and separate it from background noise, but it’s language-agnostic. The key factors that can affect results are microphone quality, mic distance, room acoustics, background noise, and speaker overlap.
To get the best results with Magic Audio, you need at least basic audio equipment for clean audio.
We recommended:
Better source audio leads to stronger enhancement results.