Clean Voice

# Clean Voice: Project Introduction Clean Voice is an AI-assisted media-cleaning workspace for creators who need clearer spoken audio without turning post-production into a specialist task. Podcasts, interviews, voiceovers, online lessons, and recorded calls are often made outside controlled studios. Recordings may contain air-conditioning hum, room ambience, traffic, microphone noise, or other distractions that make speakers harder to follow. Conventional audio-editing software can address these issues, but it often requires technical knowledge, repeated manual adjustment, and time that independent creators may not have. Clean Voice makes noise reduction and voice improvement accessible. The product accepts both audio and video files, so users can work with a standalone recording or improve a video soundtrack without moving between separate tools. Its central experience is deliberately straightforward: upload a file, select an available cleaning option, let the processing engine run, preview the result, and download the cleaned media. This sequence removes the friction associated with complex editors while giving users a clear point at which to review the output. The same process can be applied consistently to podcasts, interviews, narrated videos, and other spoken-word material. At its core, Clean Voice reduces distracting background noise while aiming to keep speech clear and natural. It supports spoken-audio enhancement for recordings whose dialogue needs greater intellig