CleanVoice removes background noise from audio and video in minutes, cleaning podcasts, interviews, courses, and voiceovers without editing software.
CleanVoice is an AI-powered audio and video cleanup tool that removes background noise from podcasts, interviews, courses, voiceovers, and social videos without requiring editing software.
CleanVoice is a web-based AI denoising service that takes audio or video files as input and returns a cleaned soundtrack with reduced background noise and clearer speech. It accepts audio formats MP3, M4A, WAV, and AAC, and video formats MP4, MOV, and WebM, processing files up to 1 GB and 30 minutes by default. The workflow runs in the browser with no software installation required.
CleanVoice uses a credit-based model. Audio costs 1 credit per rounded-up minute and video costs 3 credits per rounded-up minute with a minimum of 1 credit. A free trial is available, and credit plans are offered for longer recordings.
CleanVoice supports MP3, M4A, WAV, and AAC for audio, and MP4, MOV, and WebM for video. Regular tasks support files up to 1 GB and 30 minutes by default, and administrators can adjust these limits.
Audio uses 1 credit per rounded-up minute. Video uses 3 credits per rounded-up minute, with a minimum of 1 credit. Credits are consumed only after a valid output is uploaded and verified, so failed tasks do not use credits.
Original uploads remain available in your Activity history according to your storage policy. Anonymous preview inputs are deleted after processing.
Yes. Failed tasks can be retried from Activity using the current processing configuration. Since credits are only consumed after a valid output is verified, retries do not waste credits.
FFmpeg runs locally in your deployment, while CleanVoice sends signed media URLs to the configured CleanVoice service. Your administrator chooses the provider.
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