VideoVoice points to the audio cleanup feature inside AI Podcasting, a service built for people who would rather record their show and hand off everything that follows. The audio-cleanup stage takes raw audio or video — recording noise, uneven levels, room reverb and the usual imperfections — and processes it into clean, consistent sound, applying noise reduction, mixing and a clarity and pacing pass before the episode moves on to packaging.
The platform is deliberately full-stack rather than a single-purpose denoiser. Once the audio is clean, AI Podcasting generates transcripts, show notes and timestamps, produces titles and thumbnails, cuts short clips, and publishes to YouTube, Spotify and Apple with sponsor logistics and release scheduling managed along the way. The stated approach is roughly 80% AI and 20% human polish, so automated cleanup is reviewed by real engineers before release.
It positions itself as an outsourced podcast operations partner for serious creators rather than a free web utility. Reported credentials include over 600 episodes produced, more than 2,000 hours of content and roughly 1.1 million downloads, with production work for hosts such as Nathan Labenz and Prof. Michael Levin. The audio-cleanup screen itself sits behind a login, so teams engage through an account or a direct conversation with the vendor.
