Cleanvoice AI

Overview

Cleanvoice AI is an artificial intelligence-powered audio and video editing platform designed to help podcasters, content creators, audio engineers, video editors, businesses, and media agencies improve recordings with less manual editing. The platform focuses on cleaning spoken audio, removing unwanted sounds, enhancing recording quality, and preparing podcast episodes and other voice-based content for publication.

Traditional audio editing can require considerable time and attention. Editors may need to listen through an entire recording to remove filler words, long pauses, mouth clicks, breathing sounds, background noise, and other distractions. Cleanvoice AI automates many of these tasks, allowing creators to upload their recordings, choose the edits they want, process their files, and download the results.

The service supports both audio and video workflows. It can process podcast episodes, interviews, voiceovers, audiobooks, online meetings, and other recordings containing speech. Its goal is to make recordings clearer and easier to edit without requiring users to become experienced audio engineers.

AI-powered filler-word removal

One of Cleanvoice AI’s central features is automatic filler-word removal. Spoken recordings often contain words and sounds such as “um,” “uh,” and other verbal hesitations that can distract listeners. Cleanvoice analyses recordings and identifies these elements so users can remove them automatically.

This feature is particularly useful for podcasters, interviewers, educators, and presenters who want their recordings to sound more polished. It can reduce the amount of time spent reviewing long recordings and making individual cuts.

Cleanvoice also detects stutters, hesitations, and other unwanted speech elements. Users can select the types of edits they want to apply rather than having to use every available feature. Because automated systems may occasionally misidentify a pause or spoken sound, reviewing the final recording is still important, particularly when natural speech patterns need to be preserved.

Background-noise removal and audio enhancement

Cleanvoice AI provides tools for reducing unwanted background sounds. Recordings made at home, outdoors, in offices, or during remote interviews may contain wind, hum, hiss, static, room noise, or microphone interference. These sounds can make speech difficult to hear and reduce the perceived quality of a production.

The platform’s noise-removal features are designed to reduce such distractions. Its audio-enhancement tools also aim to improve vocal clarity, balance loudness, reduce echo and reverberation, and make speech sound more consistent.

The Studio Sound feature is intended to bring recordings closer to a polished, studio-like result without requiring a professional recording environment. Results depend on the original recording, the type of noise, and the processing settings. Severe distortion or missing audio information may not be fully recoverable through automated enhancement.

Mouth sounds, breathing, and silence removal

Another important part of Cleanvoice AI is its ability to identify unwanted mouth and breathing sounds. Mouth clicks, lip smacks, audible breaths, and similar sounds can become especially noticeable in close-microphone recordings, including podcasts, audiobooks, narration, and voiceovers.

Cleanvoice can remove or reduce these sounds to create a cleaner listening experience. Its silence and dead-air removal feature also detects long pauses that may interrupt the flow of a recording.

These tools are useful for creators who want to shorten editing time while maintaining a natural speaking rhythm. Editors should nevertheless check whether a pause communicates meaning or emotion before removing it. Automatically shortening every pause can make a speaker sound rushed or unnatural.

Automatic multitrack editing

Cleanvoice AI supports multitrack editing workflows, including recordings where different speakers have separate audio tracks. It can identify filler words and unwanted silence across multiple tracks while keeping the edits synchronised.

This capability is helpful for interviews, co-hosted podcasts, panel discussions, and remote recordings. Instead of manually locating every unwanted sound in each track, creators can process the recording and then refine the result.

The platform also offers timeline export. Users can export editing markers or timestamps and continue working in their preferred audio or video editor. This makes Cleanvoice useful as part of a larger production process rather than only as a standalone editor.

Podcast transcription, summaries, and show notes

Cleanvoice AI includes transcription and summarisation tools that help creators turn recorded conversations into written material. Transcription provides a text version of spoken content, while summaries help users identify the main points of an episode.

These features can support the preparation of podcast show notes, episode descriptions, reference documents, and promotional material. Creators can also use transcripts to identify important sections or develop supporting written content from a recording.

AI-generated summaries and transcripts should be checked for accuracy, especially when recordings contain technical terms, names, specialised vocabulary, or overlapping speech. They are useful starting points but should not replace careful review when exact wording matters.

Video podcast editing and supported file formats

Cleanvoice AI can process video files as well as audio recordings. This allows users to clean the audio track of a video podcast or interview without necessarily rebuilding the entire video from scratch.

The service supports common formats, including MP3, WAV, M4A, FLAC, MP4, MOV, and MKV, although specific format availability may depend on the workflow. Batch uploading is also available, allowing users to submit multiple podcast episodes or recordings for processing.

This is useful for creators who publish regularly and need to maintain a consistent editing workflow. Cleanvoice primarily focuses on speech and audio processing; users may still need a dedicated video editor for advanced visual effects, transitions, colour correction, and complex video assembly.

Developer API and automation

Cleanvoice AI provides developer tools for integrating audio-processing capabilities into applications and automated workflows. Its API and SDK options support Python, JavaScript, and REST-based access. Developers can use them to automate tasks such as removing filler words, cutting long silences, reducing noise, enhancing speech, and processing audio or video files.

The platform also supports automation workflows through services such as Make and n8n. These options can help production teams process recurring recordings without manually uploading every file.

The API is suitable for businesses, agencies, and developers building audio-related services or internal tools. Usage is billed according to the applicable credit or subscription arrangement, and developers should consult the official documentation for current endpoints, settings, file requirements, and limits.

Privacy and security

Cleanvoice states that its service is GDPR-compliant, stores data in the European Union, and is ISO 27001 certified. Its developer information also describes secure file processing and states that customer data is not used to train its AI models.

The website’s standard workflow states that uploaded and processed files are retained for seven days before being permanently removed. Certain API options may offer different retention settings, so businesses should verify the terms that apply to their specific configuration.

Users handling confidential interviews, personal conversations, client recordings, or sensitive business material should review the current privacy policy and data-processing agreement before uploading files.

Who should use Cleanvoice AI?

Cleanvoice AI is designed for podcasters, audio engineers, video editors, media agencies, voiceover artists, educators, interviewers, and businesses that regularly produce spoken content. Beginners can use its upload-and-process workflow without advanced editing knowledge, while experienced editors can use exported timelines and API tools as part of more complex production processes.

Overall, Cleanvoice AI provides a focused set of tools for cleaning and enhancing speech recordings. Its combination of filler-word removal, noise reduction, mouth-sound and breath removal, silence trimming, transcription, summaries, multitrack editing, and developer integrations can reduce repetitive editing work. Human review remains valuable for preserving natural speech, checking transcription accuracy, and ensuring that automated edits do not remove meaningful content.