Audio Cleaner AI

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Online AI tool that removes noise, echo and unwanted sounds from audio and video

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Audio Cleaner AI

What it is

Audio Cleaner AI is a browser-based audio cleanup suite. Its core noise remover strips background noise, echo, reverb, static, buzz, wind, breaths, mouth sounds and hum from audio and video files, and it can also trim silences and filler words or apply enhancement and normalization. Beyond cleanup, the site offers stem splitting and vocal removal, speech-to-text, audio translation, voice changing and a podcast maker. It supports more than 20 formats, including MP3, WAV, MP4 and MOV. New users receive free credits on signup with small daily top-ups, while subscriptions and one-time credit packs provide more processing time, priority queues and longer file storage.

Key features

Noise, echo and hum removal
Breath, silence and filler word cleanup
Vocal and stem separation
Support for 20+ audio and video formats

What we liked

+ Runs in the browser with no install
+ Handles both audio and video files
+ Wide set of extra audio tools

Worth noting

· Free credits are limited
· Pricing details are not shown upfront

Editor's notes

More context from AI BirdView

Good content is often let down by a noisy room, a humming fan or wind on an outdoor mic, and Audio Cleaner AI focuses on rescuing that kind of recording quickly. Because it runs in the browser and accepts video files as well as audio, you can clean the soundtrack of a clip without exporting it to a separate editor first. The wide menu of targeted removers lets you fix one specific problem without flattening the whole track.

Dedicated removers target background noise, echo, reverb, static, buzzing, wind, breaths and mouth sounds.
Silence and filler word cleanup tightens spoken content such as interviews and lectures.
Stem splitting and vocal removal separate voices, drums, bass and other instruments.
Two cleanup models are offered, including a newer alpha model aimed at complex noise.
Extra tools cover transcription, audio translation, voice changing and podcast creation.

It is best for podcasters, video creators, teachers recording lessons and musicians who need quick cleanup without a full studio workflow. A practical tip: run a short test clip through both available models and compare them before processing a long file, since the right choice depends on how heavy and varied the noise in your recording is.