Cleanvoice AI

Cleanvoice works as a filler word remover first, detecting and cutting "um," "uh," "like," and similar filler, along with stutters and repeated words, in a single pass. It works across 20+ languages, which matters if your guests don't all speak English or your co-host has a strong accent. You can leave the cuts in or export them as a timeline and adjust each one yourself. Nothing is locked.

This is the audio enhancer that tries to make a raw recording sound professionally treated. It applies EQ, dereverb, loudness normalization, and level balancing across speakers in one pass. The company compares it to Adobe's Podcast studio-sound feature, but makes it available through the web app and the API.

The noise remover targets hum, hiss, room tone, and background chatter that a mic picked up but you didn't want. Echo and reverb removal handles the hollow sound of an untreated room. For anyone recording in a kitchen or a hotel room, this is where most of the upgrade comes from. That hollow sound? Gone.

Upload separate tracks for each speaker and Cleanvoice cleans them together, keeping them in sync. Every edit comes back as a timeline you can open and tweak in your own editor. That makes it a fit for teams that want automation but still want final say over the cut. If you record remote interviews where each guest is on a different microphone in a different room, this is the feature that keeps the final mix coherent.

Cleanvoice handles podcast transcription and then builds summaries and supporting copy from the text it produces. You get a full transcript and draft show notes without running a second tool. Useful for publishing transcripts, and for pulling quotes for promo.

Developers get access to the same cleanup engine through a REST API and official Python and JavaScript SDKs. Jobs run asynchronously, so the SDK handles polling for you, or you can use a webhook to push results to your own storage. One endpoint covers noise removal, fillers, dead air, mouth sounds, and normalization. That's the whole toolkit in a single call.

Cleanvoice accepts video files and works on the audio track, returning cleaned audio plus edit timestamps. That means you can clean a video podcast and keep the picture in sync, without exporting audio separately and re-linking it. No sync headaches.