Cleanvoice AI

Cleanvoice attacks the least glamorous half of podcast production: the cleanup pass. Upload an audio or video file and it strips filler words, long silences, stutters, mouth sounds and breathing, removes background noise, applies a studio-sound enhancement and normalises loudness. The vendor also sells those same primitives as standalone tools (breath remover, echo & reverb remover, audio trimmer), which is a fair signal of where it thinks its edge is.

Two things separate it from a one-click denoiser. The mixing is multitrack: filler words and dead air are cut from every speaker's track in one pass and stay in sync, and the result can be exported as an editable timeline, so an editor reopens real cuts instead of accepting all of them. And the pipeline is genuinely developer-facing — there are official Python and JavaScript SDKs plus a documented REST API (api.cleanvoice.ai/v2, X-API-Key auth) whose job lifecycle your own code polls, ending in a download URL. That is how it ends up inside automated production pipelines rather than only in a browser tab.

Beyond cleanup, the same API does Whisper-based transcription in 99 languages, chapter summarisation and social-post generation, with Make.com and n8n integrations. The vendor states the service is GDPR compliant, stores data in the EU and holds ISO 27001 certification, and offers 30 minutes free. It is not a creative editor: it cleans what you have already recorded, and the automatic cuts are worth a listen-through before publishing.