We envision a future where audio creation is unhindered by technical barriers, empowering every creator to produce flawless sound with ease and precision. Cleanvoice AI is dedicated to transforming the tedious, technical craft of audio editing into a streamlined, accessible experience that enhances the authenticity and impact of spoken content worldwide.
By harnessing cutting-edge AI technology tailored specifically for audio, we eliminate distractions like filler words, stutters, and background noise, allowing creators to focus on their message rather than the mechanics of production. Our commitment is to innovate thoughtfully — delivering tools that listen, understand, and refine audio intelligently, adapting to diverse accents and complex soundscapes.
We are building a new era for creators of podcasts, audiobooks, and multimedia, where quality audio is not a luxury but a standard. Through relentless innovation and creator-centric design, Cleanvoice AI will continue to elevate how voices are heard and stories are told across the globe.
Our Review
We've been watching the AI audio editing space evolve rapidly, and Cleanvoice AI caught our attention for solving a problem that every podcaster knows too well — the soul-crushing tedium of cleaning up raw audio. Founded by Adrian Spataru after his own frustrating experience with manual editing, this tool feels refreshingly authentic in its "by a creator, for creators" approach.
What Makes It Click
The standout feature isn't just that Cleanvoice removes filler words and mouth sounds — plenty of tools do that. It's how comprehensive the cleanup is in one pass. We're talking about eliminating "ums," long pauses, background noise, breath sounds, and even stutters, all while handling accents better than most competitors.
The multitrack editing capability particularly impressed us. If you're running a podcast with multiple guests, you know the nightmare of syncing cleanup across different audio tracks. Cleanvoice handles this automatically, which honestly feels like magic when it works.
The Practical Payoff
What we love most is the timeline export feature. Instead of forcing you into their ecosystem, Cleanvoice gives you a reference file showing exactly what was removed, so you can take that data into your preferred editor. That's the kind of workflow respect that shows they understand real creator needs.
The transcription accuracy, especially with accents, addresses Spataru's original frustration and sets it apart from generic AI tools that stumble on non-standard pronunciation.
Who Should Jump In
This tool shines brightest for podcasters drowning in post-production work and audiobook narrators dealing with long-form content. We'd also recommend it for YouTubers who want professional audio quality without becoming audio engineers overnight.
With over 15,000 podcasters already using it, Cleanvoice AI has found its sweet spot — and honestly, we can see why. It's not trying to be everything to everyone; it's just really good at making messy audio sound clean.
Feature
AI-driven removal of filler words such as “ums” and “ahs”
Silence and long pause elimination for smoother flow
Reduction of background noise and mouth sounds (clicks, lip smacks)
Breath sound and stutter removal
Automatic transcription with support for multiple formats and accurate handling of accents
Multitrack editing and synchronization for podcasts with multiple guests
Export of timeline references marking removed parts for use in manual editing or other editors
Generation of show notes, chapter markers, and social media content from transcripts
API support for large-scale or team-based workflows
FAQs
