Clean Voice
Clean Voice is a browser-based, AI-powered audio and video cleanup service that removes background noise from spoken-word recordings. According to its homepage, it targets podcasts, interviews, online courses, voiceovers, video calls, and social video, offering a denoise workflow the company describes as "drag and drop your files, let AI do the magic, download or export clean files." The site positions the product as an alternative to learning editing software, aimed at creators who want to "be a podcaster, not an editor." Processing is credit-based. Audio is billed at 1 credit per rounded-up minute, while video is billed at 3 credits per rounded-up minute with a minimum of 1 credit. Regular tasks are documented as supporting files up to 1 GB and 30 minutes by default, with those limits adjustable by an administrator. The homepage states that credits are consumed only after a valid output is uploaded and verified, and that failed tasks can be retried without consuming credits. Supported input formats are listed as MP3, M4A, WAV, and AAC for audio, and MP4, MOV, and WebM for video. Video processing is described as preserving the video while cleaning its soundtrack. Original uploads remain available in an Activity history according to the account's storage policy, while anonymous preview inputs are deleted after processing. The homepage also references an FFmpeg integration scenario in which a self-hosted deployment can send signed media URLs to a configured CleanVoice service, with the provider chosen by an administrator. A free preview is offered without a credit card, and the demo playback does not require an upload. Beyond denoising, the site also mentions filler-word handling as a related capability in its editing interface.
- Category
- Background Removal Tools
- Pricing
- Unknown
Problem solved
Content creators often face a trade-off between re-recording podcasts, voiceovers, and videos in controlled studio conditions and spending weeks learning complex audio or video editing software to remove unwanted background noise. Clean Voice provides an AI-based denoising workflow that cleans the soundtrack of audio and video files in a few clicks, reducing traffic, wind, HVAC, hiss, hum, and microphone noise while keeping speech clear.
Use cases
- Removing background noise from podcast episodes without re-recording
- Reducing room tone and location noise in interviews
- Cleaning home-recorded voiceover narration before editing
- Improving the soundtrack of remote video calls and meetings
- Making online course lessons sound consistent
- Denoising short social video clips for phone and headphone playback
- Cleaning noisy phone recordings of speech
- Tidying audiobook or vocal recordings
Audience
- Content Creators
- Business Users
- Hobbyists
- Enterprise
Pros
- Simple drag-and-drop, three-step workflow requiring no editing experience
- Web-based with a free preview that needs no credit card and no upload for demo playback
- Credits are consumed only after a valid output is verified, and failed tasks do not consume credits
- Supports both audio (MP3, M4A, WAV, AAC) and video (MP4, MOV, WebM) inputs
- Retry of failed tasks is available from the Activity history
Cons
- Pricing is published only as credit plans, so exact cost per minute requires checking the pricing page
- Default file limits of 1 GB and 30 minutes per task, adjustable only by an administrator
- No public information on processing model details, languages supported, or output quality benchmarking
- No GitHub repository or API documentation referenced on the homepage
- Requires uploading media to a cloud service, which may be unsuitable for sensitive recordings
Official website: https://cleanvoice.app/
Canonical LambdaBase page: https://www.lambdabase.com/tools/clean-voice