Cleanvoice AI
Sigmoid Creativity S.R.L. · Voice & Language
Cleanvoice AI is a web-based AI audio and video editor built for podcasters, media teams, and developers. It automatically removes filler words, stutters, mouth sounds, breaths, and dead air from recordings, then enhances speech and returns a cleaned file with an editable timeline. You upload a file, pick what to cut, and download the result. No timeline wrangling required.
About Cleanvoice AI
What Is Cleanvoice AI
Cleanvoice AI is an audio and video cleanup service that runs in your browser. It targets the parts of a recording people usually cut by hand: the "um" and "uh" that slip into unscripted speech, long silences, stutters, lip smacks, and room noise. The result is a file that sounds like it came out of a treated room.
It started as a side project. Founder Adrian Spataru built the first prototype in 2021 after editing his own podcast took five hours for a one-hour recording. The tools he tried first fell apart on non-native accents. The service is now run by Sigmoid Creativity S.R.L., a company registered in Romania, with data stored on EU servers. What began as a personal fix for one podcaster's editing slog turned into an AI podcast editor used by more than 15,000 creators.
The main limit is scope. Cleanvoice is a cleanup and enhancement tool, not a full production suite. It won't build your show structure, cut a music bed to the beat, or mix a multitrack session the way a DAW does. If your audio is fine and your problem is creative editing, this is the wrong tool. It's also credit-based. Every minute you process costs money after the free trial.
So who actually benefits? Anyone who spends more time deleting "ums" than shaping a story.
Getting Started
- Sign up at cleanvoice.ai or from the app. You get 30 minutes of processing free, and no card is needed to start.
- Upload an audio or video file. Common formats work, including .mp3, .wav, .m4a, .flac, .mp4, .mov, and .mkv.
- Toggle the fixes you want: fillers, long silences, mouth sounds, stutters, breaths, noise removal, and studio sound. Multitrack uploads let you clean each speaker's track at once.
- Run the job. Processing happens in the cloud, and most episodes finish in minutes rather than hours.
- Download the cleaned file, or export the edit as a timeline to open in your own editor. If you'd rather work in code, grab an API key and install the Python or JavaScript SDK.
Product Information
A quick look at Cleanvoice AI's pricing, supported platforms, and performance.
Best for
The users, tasks, and scenarios where this tool fits best.
Users
- Podcasters editing their own episodes
- Media agencies and production teams
- Developers building audio features
- Video editors working on talking-head content
Tasks
- Removing "um," "uh," and repeated words from unscripted speech
- Cleaning noisy recordings from untreated rooms
- Generating transcripts and show notes
- Leveling volumes between speakers
Scenarios
- A weekly interview show recorded over a call
- Turning a rough video podcast into a publishable master
- Adding audio cleanup to a product or pipeline
Key features
Filler word and stutter removal
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.
Studio sound and speech enhancement
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.
Background noise and reverb removal
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.
Multitrack editing and timeline export
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.
Transcription, summaries, and show notes
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.
Speech enhancement API and SDKs
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.
Video podcast editing
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.
Pros and cons
Pros
- Handles the tedious cuts automatically, cutting filler, silences, and mouth sounds in one pass across 20+ languages.
- The API and SDKs let you automate cleanup at scale, with webhooks for delivery to your own storage.
- Timeline export means you're not locked in, since edits can be reopened and adjusted in a standard editor.
- Transcripts and show notes come bundled, so you skip a separate transcription service.
- EU-hosted data with ISO 27001 certification and a published DPA and SLA answer the procurement questions larger teams ask.
Cons
- It's a cleanup tool, not a full editor, so anything creative like music beds or structural cuts still happens elsewhere.
- Credit-based pricing means a long backlog of back-catalogue episodes adds up fast, and unused subscription hours only roll over up to three times your plan.
- Pay-as-you-go credits expire after two years, so buying in bulk for occasional use carries a use-it-or-lose-it risk.
- Over-aggressive removal can flatten natural speech, so a quick listen before publishing is still worth the time.
Frequently asked questions
It removes filler words, long silences, stutters, mouth sounds, and breaths from audio and video, then enhances the speech and returns a cleaned file. You can also pull transcripts and summaries from the same recording.
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