Clean Voice

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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 intelligibility, and cleans video soundtracks while preserving original visual content. Supported spoken-audio workflows also include filler-word cleanup, helping users reduce unnecessary vocal fillers and mouth sounds where available. Rather than exposing isolated technical settings, the product organizes these functions around a recording that is easier to hear and more ready to publish.The platform is designed around transparent task handling. Each request has a private activity record, so users can review completed work and download results later. Audio and video processing use a shared credit balance, with costs based on the relevant media workflow. This gives users a visible relationship between submitted work and the resources it consumes. Short trial use can introduce the experience before a longer workflow requires credits, while unsuccessful tasks are not intended to consume them. Task history and credit visibility make the service suitable for repeated use.Clean Voice delivers value to independent creators and small production teams. It reduces the learning curve of professional audio tools, shortens routine cleanup, and supports more consistent sound across a body of work. A podcaster can improve an interview recorded in a noisy room; a video creator can make dialogue more intelligible without rebuilding the visual edit; and a freelancer can prepare narration or client material with fewer manual steps. The project does not claim to replace a controlled recording environment or eliminate every artifact. Instead, it reduces common distractions and improves clarity when real-world recordings are the available source material.The engineering design supports this goal with a modern, extensible web architecture. The interface is built with Next.js and React for uploads, previews, account management, and activity tracking. Media processing can use a locally packaged FFmpeg workflow or the Cleanvoice service, allowing deployments to select the appropriate provider. Uploaded inputs and generated outputs are managed through object storage integrations compatible with Cloudflare R2 and Amazon S3. Processing is task-based, separating submission, execution, completion, and download while maintaining records for each user.Beyond media processing, the project includes configurable authentication, role-based access control, payment integrations, and a credit system for operating a sustainable service. Its data layer supports SQLite, MySQL, and PostgreSQL, enabling the application to fit different development and hosting environments. These capabilities turn Clean Voice from a single-purpose demo into a foundation that can be operated, extended, and adapted. By packaging complex media cleanup behind an understandable workflow, Clean Voice makes higher-quality spoken media more accessible to the people who create and share it.