Clean Voice App
Clean Voice is a paid, AI-powered SaaS tool that removes background noise from audio and video recordings. It is designed for podcasters, course creators, interviewers, voiceover artists, and social video makers who want clean soundtracks without learning complex audio editing software. Users upload audio files (MP3, M4A, WAV, AAC) or video files (MP4, MOV, WebM), and the service processes them in a few minutes, returning a downloadable cleansed file. The platform also offers an anonymous demo preview that requires no upload or credit card, letting users hear the difference before committing. The tool focuses on speech clarity by reducing traffic, wind, HVAC, hiss, hum, and microphone noise while keeping the voice natural. It supports both standalone audio and video with preserved visuals. Clean Voice uses a credit system: audio costs 1 credit per rounded-up minute, video costs 3 credits per rounded-up minute, with a minimum of 1 credit. Credits are only consumed when a task succeeds; failed tasks do not use credits. Uploads are kept according to the user's storage policy, and anonymous preview inputs are deleted after processing. Clean Voice's simple three-step workflow—drag-and-drop, process, and download—makes it accessible to non-editors. It is marketed for podcasts, interviews, online courses, voiceovers, video calls, and social clips. File limits are 1 GB and 30 minutes by default, but an administrator can adjust limits. The service integrates with FFmpeg deployment scenarios, where CleanVoice receives signed media URLs from a configured provider, though the exact deployment architecture is controlled by the enterprise user.
- Category
- Movies Video
- Pricing
- Paid
Problem solved
Clean Voice solves the problem of background noise in audio and video recordings by providing an AI-powered denoising service that requires no editing expertise. It helps creators turn rough, noisy recordings into clear, professional-sounding podcasts, interviews, courses, voiceovers, and videos, with a simple upload-and-process workflow.
Use cases
- Cleaning background noise from podcast recordings
- Removing room tone and location noise from interviews
- Enhancing online course audio for a consistent listening experience
- Cleaning home-recorded voiceovers before editing
- Improving audio quality of remote video calls and meetings
- Making social videos sound clear on phones and headphones
- Denoising audiobook and vocal recordings
- Reducing noise from phone recordings and field audio
Audience
- Content Creators
- Hobbyists
- Business Users
- Startups
- Enterprise
Pros
- Simple drag-and-drop workflow, no editing skills needed
- AI-powered noise removal for both audio and video
- Pay only for successful processing; failed tasks don't consume credits
- Supports common formats (MP3, M4A, WAV, AAC; MP4, MOV, WebM)
- Free anonymous preview demo without upload
Cons
- Paid service with credit costs for each processed minute
- Default file limits of 1 GB and 30 minutes may be restrictive
- Requires cloud upload; no offline processing
- Video processing costs 3x audio credits per minute
- Advanced editing features are not included (focused on denoise)
Official website: https://cleanvoice.app/
Canonical LambdaBase page: https://www.lambdabase.com/tools/clean-voice-app