
3D
Cleanvoice AI automates podcast and audio/video post-production: it removes filler words, background noise, mouth sounds, stutters, and dead air in minutes. It also offers studio-sound enhancement, transcription, summaries, show notes, and an API for pipeline integration. Target users are podcasters and audio engineers who want to cut multi-hour manual edits.
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Context from the listing review and editorial research.
Generally positive among podcast creators for time savings vs manual DAW editing. Castmagic and similar reviews note strong filler/noise removal and fair hourly rates (~$0.90–$1.10/hr on subscriptions). Some users report occasional over-editing or artifacts on music-heavy tracks. Less feature-rich as a full DAW replacement vs Descript's editing suite, but faster for cleanup-only workflows.
In-depth description and capability notes.
Filler word remover — Detects and cuts "um," "uh," and similar disfluencies automatically. Background noise & mouth sound removal — Cleans room noise, breaths, and lip smacks. Studio Sound enhancer — Normalizes levels and improves clarity without a physical studio. Video podcast editing — Processes video files alongside audio (.mp4, etc.). Transcription & summaries — Multi-format transcripts plus AI show notes and chapter markers. Custom templates — Select which cleanup features to apply per project. API — Single-call automation for editing, enhancement, and transcription at scale.
Cleanvoice fits podcasters, YouTube creators, and agencies producing spoken-word content who spend hours on repetitive cleanup. Upload raw recordings, apply a template, download polished files — often in under 10 minutes vs 4+ hours manual. Weekly podcast episode cleanup before publish Removing filler words from interview recordings Enhancing remote/guest audio to near-studio quality Generating transcripts and show notes for SEO/accessibility Batch-processing client podcast libraries (agencies) API integration into recording-to-publish pipelines