Cleanvoice AI

Cleanvoice AI is an AI-powered audio cleanup tool designed mainly for podcasters, creators, and audio professionals to automate tedious editing tasks. It analyzes recordings using context-aware speech recognition and signal processing to remove filler words, stutters, mouth sounds, breaths, background noise, and long silences while preserving natural pacing through features like room-tone insertion and multitrack sync.

The platform also offers timeline export for non-destructive editing in professional software, multilingual support, and customizable sensitivity controls. With subscription and pay-as-you-go pricing, it aims to drastically reduce editing time—from hours to minutes—serving as a fast “first-pass” cleanup assistant rather than a full audio editing suite.

Cleanvoice AI: The Automatic “Un-Editor” for Podcasters and Creators

If you’ve ever sat in front of a waveform for hours, manually cutting out every “um,” “ah,” and awkward silence, you know that podcast editing is often 10% creativity and 90% tedious cleanup.

Enter Cleanvoice AI, an artificial intelligence tool designed specifically to automate the grunt work of audio editing. It promises to turn raw, messy recordings into professional-sounding episodes in minutes rather than hours.

In this Showeblogin guide, we break down everything you need to know about Cleanvoice AI—from its core features to its pricing—so you can decide if it’s the right addition to your production workflow.

What is Cleanvoice AI?

Cleanvoice AI is an artificial intelligence audio editing tool that removes filler words, mouth sounds, stutters, and dead air from your audio and video recordings. Unlike general noise-cancellation tools that simply reduce background hiss, Cleanvoice focuses on the speech patterns that make audio sound amateurish.

Its primary goal is to let creators “be a podcaster, not an editor,” claiming to reduce editing time significantly by handling the cleanup process automatically.

Key Features: What Can It Do?

Cleanvoice packs a suite of cleanup tools into a single interface. Here is a detailed look at its capabilities:

Smart Filler Word Removal: A Deep Dive

The “Smart Filler Word Removal” is Cleanvoice AI’s flagship feature. Unlike basic noise gates that simply cut silence, this feature is a sophisticated, linguistically aware system designed to edit speech patterns while preserving the natural rhythm of a conversation.

Here we discuss in detail how it works, what makes it “smart,” and how you can control it.

1. How It Works (The “Smart” Technology)

Cleanvoice doesn’t just listen for specific sounds; it analyzes the context of the speech.

• Differentiation: The AI is trained to distinguish between a filler sound and a legitimate part of a word. For example, it can tell the difference between the “uh” sound in the word “umbrella” (which must be kept) and a hesitating “uh…” between sentences (which should be removed).
• Room Tone Insertion: This is the most critical “smart” feature. When a standard editor cuts a word, it often leaves a dead silence (absolute zero audio), which sounds unnatural and jarring to the listener. Cleanvoice analyzes the background ambience (room tone) of your specific recording and synthetically fills the gap with that same ambience. This makes the edit invisible to the ear.
• Pacing Preservation: It doesn’t just blindly chop words. The algorithm attempts to maintain the speaker’s natural cadence, shortening the gap to a natural pause length rather than snapping two sentences together too aggressively.

2. What It Removes

The tool targets several categories of verbal disfluencies:

• Standard Fillers: “Um,” “Uh,” “Ah,” “Er.”
• Hesitation Markers: “Mm-hm,” “Uh-huh.”
• Discourse Markers: Common crutch phrases like “You know,” “Like,” “Basically,” “So,” and “I mean.” (Note: The AI is cautious with these, as they can sometimes be necessary for sentence structure).
• Stutters: It can identify and smooth out accidental repetitions (e.g., “I… I went to the store”).

3. Multilingual Support

One of Cleanvoice’s standout capabilities is its ability to process filler words in over 20 languages. It supports different accents (e.g., American vs. Australian English) to ensure accuracy.

Supported languages include:

• English (All accents)
• European: German, French, Spanish, Italian, Portuguese, Dutch, Polish, Romanian, Bulgarian.
• Others: Arabic, Turkish, Hebrew, Russian, and more.

4. Customization & Control

You are not forced to accept a “black box” result. Cleanvoice offers several layers of control:

• Selectivity: Before processing, you can choose which types of issues to tackle. If you want to remove “Ums” but keep “Likes” to sound more conversational, you can configure that settings profile.
• Sensitivity Settings: You can adjust how aggressive the AI is.
  • Safe: Removes only the most obvious fillers.
  • Standard: The balanced default.
  • Aggressive: Removes even short or ambiguous fillers (good for scripted content, risky for casual conversation).
• Mute vs. Cut: You can choose to mute a filler word instead of cutting it out. This preserves the original timing of the recording (useful for video syncing) but silences the distracting noise.
• Timeline Export: If you are a professional editor, you can export the EDL (Edit Decision List) or markers to software like Adobe Audition, DaVinci Resolve, or Reaper. This lets you see exactly where the AI made cuts and tweak them manually if needed.

5. Comparison to Manual Editing

Summary for the User

The “Smart Filler Word Removal” is designed to make you sound confident and articulate, not robotic. By handling the tedious work of cutting thousands of “ums,” it allows you to record more naturally, knowing the software will “clean up” your performance in post-production.

Mouth Sound and Stutter Removal

High-quality microphones pick up everything, including wet mouth sounds, lip smacks, and clicking. Cleanvoice identifies these subtle noises and removes them. It also detects and cuts stutters, helping speakers sound more confident and articulate.

Cleanvoice.ai offers specialized AI-driven tools for audio post-production, specifically targeting “Mouth Sound” and “Stutter Removal.” These features are designed to automate the tedious process of cleaning up spoken audio for podcasts, voiceovers, and interviews.

1. Mouth Sound Removal

This feature targets the subtle, wet, or clicking noises that occur naturally when speaking, which can be distracting to listeners (especially in high-quality recordings).

• What it Removes:
  • Lip Smacks: The sound made when lips part before speaking.
  • Saliva Crackles: Wet noises often caused by a dry mouth or dehydration.
  • Mouth Clicks: Tongue clicks and other mechanical noises inside the mouth.
  • Breathing Noises: (Often grouped here or as a separate “Breath Remover” feature) It detects and reduces heavy breaths or gasps.
• How it Works:
  • Detection: The AI analyzes the audio waveform to distinguish between human speech and non-speech mouth artifacts.
  • Mute vs. Remove: A key detailed feature is the ability to choose how the sound is handled.
    • Remove: Completely cuts the sound out and stitches the audio back together. This shortens the total runtime.
    • Mute/Reduce: Instead of cutting (which can sometimes mess up the pacing or sync), the AI simply lowers the volume of that specific split-second to zero or a very low level. This keeps the timeline length intact and avoids “harsh cuts.”
• Multi-Track Support: If you have a podcast with multiple speakers on different tracks, the AI ensures that removing a sound on one track doesn’t de-sync it from the others.

2. Stutter Removal

This feature focuses on fluency, removing dysfluencies that disrupt the flow of a sentence.

• What it Targets:
  • Repetitive Stutters: Identifying where a speaker repeats the start of a word (e.g., “I- I- I went to the store”).
  • Stammering: Hesitations that break the natural cadence of speech.
• How it Works:
  • Contextual Editing: Unlike a simple “silence remover,” the stutter remover attempts to edit the speech to sound “natural.” It identifies the stuttered segments and removes the excess repetitions while preserving the final, correct pronunciation.
  • Smoothing: The goal is to make the edit invisible so the listener doesn’t hear a “skip” in the audio.

Shared Key Features (For Both Tools)

• Multi-Track Sync: Both features support multi-track editing. If you upload separate files for each speaker, Cleanvoice will clean them while maintaining perfect synchronization across all tracks.
• Timeline Export: For professional editors who want full control, Cleanvoice allows you to export the Edit Timeline (e.g., for Adobe Premiere, Audition, or DaVinci Resolve) rather than just the finished audio.
  • Benefit: This lets you see exactly where the AI made cuts and adjust them manually if it was too aggressive or missed something.
• Customization: You generally have control over the “sensitivity” of the removal, allowing you to decide if you want a very sterile, tight edit or a more natural sound with some imperfections left in.

Summary of Benefits

• Time Saving: Manually removing mouth clicks and stutters can take hours for a 1-hour recording; this tool does it in minutes.
• Non-Destructive Options: By using the “Timeline Export” or “Mute” features, you avoid permanently damaging the audio if the AI makes a mistake.

Dead Air Remover

The Dead Air Remover is an AI-powered feature from Cleanvoice.ai designed to automatically identify and shorten long silences (or “dead air”) in audio and video recordings. Its primary goal is to make podcasts and recordings more engaging by maintaining a steady conversational flow without the tedious manual work of cutting out silence.

Long pauses can kill the momentum of a podcast. The Dead Air Remover automatically identifies silences that are too long and shortens them to keep your content engaging, without making the conversation feel rushed.

Here we detailed breakdown of its capabilities and features:

1. Context-Aware Editing

Unlike standard silence removers that simply cut any silence exceeding a set duration, Cleanvoice’s AI understands the context of the conversation to decide how to handle a pause:

• Thinking Pauses: If the AI detects that a speaker is pausing briefly to think or search for a word, it shortens the silence to keep the pace quick and engaging.
• Topic Transitions: If the AI detects a change in topic or a natural conclusion to a segment, it deliberately keeps the pause longer. This ensures the listener has a moment to digest the information and understands that a shift in conversation is happening.

2. Multi-Track Support

For podcasts with multiple speakers recorded on separate tracks (e.g., a host and a guest), the Dead Air Remover analyzes all tracks simultaneously.

• It ensures that cutting silence on one track doesn’t de-sync or ruin the flow of the other tracks.
• It looks for moments where all participants are silent, rather than just cutting individual tracks in isolation, preserving the natural rhythm of the group conversation.

3. Workflow & Export Options

The tool is designed to fit into both simple and professional workflows:

• Automatic Processing: Users upload their audio or video files, and the AI automatically detects and removes the dead air along with other artifacts (like filler words or mouth sounds) if selected.
• Non-Destructive Editing: For professionals who want final control, Cleanvoice can export an EDL (Edit Decision List) or timeline markers (e.g., for Adobe Audition, DaVinci Resolve, or Reaper). This allows you to load the AI’s suggested cuts into your editing software and adjust them manually if needed, rather than being forced to use the pre-rendered audio file.

4. Benefits

• Increased Engagement: Long, awkward pauses are a major reason listeners drop off. By tightening the audio, the content feels more professional and energetic.
• Time Saving: Manually finding and cutting hundreds of micro-pauses in an hour-long recording can take hours of editing time. This feature automates that process in minutes.
• Video Support: The feature also works for video files, keeping the video and audio in sync while removing the silence.

Background Noise & Breath Removal

Cleanvoice.ai is an artificial intelligence tool designed to automate the post-production process for audio recordings. Its Background Noise & Breath Removal features are specifically engineered to polish spoken audio (like podcasts, voiceovers, and interviews) by stripping away distracting sounds without degrading the human voice.

Here is a detailed breakdown of these two specific capabilities:

1. Background Noise Removal

This feature targets environmental sounds that can ruin a recording. Unlike simple “noise gates” that cut all audio when volume drops below a certain level, Cleanvoice uses AI to distinguish between human speech and unwanted noise.

• What it removes: It effectively eliminates continuous noises like air conditioners, fans, mains hum, and traffic, as well as transient noises like clicks, mic bumps, or distant chatter.
• Smart Distinction: The AI is trained to recognize the frequencies and patterns of the human voice. This allows it to suppress background noise even while the speaker is talking, rather than just during pauses.
• “Keep Music” Mode: A notable sub-feature is the ability to clean voice tracks while preserving background music. Standard noise removers often try to scrub out music as “noise,” but Cleanvoice allows you to select an option to keep the musical bed intact while cleaning the vocal track.

2. Breath Removal

Breathing sounds are natural, but heavy inhaling or exhaling into a microphone can sound unprofessional and distracting to listeners. Cleanvoice offers nuanced control over how these are handled:

• Detection: The AI scans the audio waveform to identify the specific acoustic signature of breath sounds (inhalations/exhalations) that occur between words or sentences.
• Two Processing Modes:
  • Natural Reduction: Instead of silencing the breath entirely (which can make speech sound robotic or unnatural), this mode lowers the volume of the breath. This keeps the “human” feel of the conversation while making the breaths less intrusive.
  • Complete Removal: For a strictly professional or broadcast “dry” sound (often used in advertisements or audiobooks), this mode completely silences the breathing sounds.
• Mouth Sounds: Often grouped with breath removal, the tool also targets “mouth clicks,” lip-smacking, and saliva noises that sensitive microphones pick up, smoothing them out for a cleaner sound.

Multitrack Syncing & Editing

Multitrack Syncing & Editing in Cleanvoice AI is a feature designed for podcasts and interviews where multiple speakers are recorded on separate audio tracks (e.g., a host on one track and a guest on another).

Its primary goal is to clean and edit audio without breaking the synchronization between speakers. If you were to remove a “uhm” or a pause from just one track manually, that track would become shorter than the others, causing the conversation to drift out of sync. Cleanvoice solves this by applying edits globally across all tracks.

Key Capabilities

1. Synchronized Edits (The “Ripple” Effect)
   • When the AI detects and removes an unwanted sound (like a filler word, stutter, or long silence) from Speaker A’s track, it automatically cuts the same amount of time from Speaker B’s track at that exact moment.
   • This ensures that the back-and-forth flow of the conversation remains perfectly aligned, even after thousands of micro-edits.
2. Mic Bleed Removal / Auto-Mixing
   • In multitrack recordings, a microphone often picks up the voice of the other person (mic bleed). Cleanvoice includes an Auto-Mixer or mic bleed management feature (often found in custom templates) to attenuate or silence the inactive microphones while one person is speaking, resulting in a cleaner, studio-quality sound.
3. Unified Processing & Levelling
   • Volume Balancing: It analyzes the volume levels of all tracks and balances them so that one speaker isn’t significantly louder than the other.
   • Noise Reduction: Background noise is removed from all tracks individually but processed in the context of the full mix.

How It Works (Workflow)

Based on the typical Cleanvoice workflow, the process involves:

1. Upload: You upload multiple audio files simultaneously (e.g., Host.mp3 and Guest.mp3).
2. Selection: You choose the “Sync Multitrack Edits” option (sometimes labeled as “Edit, Merge & Summarize” depending on the template). This tells the AI these files belong to the same timeline.
3. Processing:
   • The AI scans all tracks for filler words, mouth sounds, and long silences.
   • It determines which speaker is dominant at any given second.
   • It applies cuts to all tracks simultaneously to maintain the timeline.
4. Output:
   • Merged File: You can download a single, mixed stereo file where all speakers are combined and cleaned.
   • EDL Export: For professional editors, it can export an Edit Decision List (EDL). This allows you to open the original tracks in a DAW (like Adobe Audition, Reaper, or Davinci Resolve) and see all the cuts Cleanvoice made, giving you the flexibility to adjust them non-destructively.

Why It Is Important

Without this feature, editing a multi-person podcast is extremely tedious. You would either have to:

• Mix down first: Combine all tracks into one before editing, which limits your ability to fix specific issues on just one voice (like a cough).
• Edit manually: Group tracks in a DAW and manually cut every single “um” across all tracks to keep them in sync, which can take hours.

Cleanvoice automates this “grouped editing” process, aiming to save hours of manual work while preserving the high quality of isolated track recording.

Timeline Export

Timeline Export is a feature in Cleanvoice.ai designed for professional editors and podcasters who want the convenience of AI editing without losing control over the final output.

Instead of giving you a single, already-edited audio file (where the cuts are permanent), Timeline Export provides you with a file containing instructions (cuts, markers, and edits) that you can load into your own audio editing software.

How It Works

1. Process Your Audio: You upload your raw audio to Cleanvoice.ai as usual, and the AI identifies filler words (ums, ahs), mouth sounds, dead air, and stuttering.
2. Export Timeline: Instead of downloading the “Cleaned Audio” directly, you select the Timeline Export option.
3. Import to DAW: You download a small data file (often an EDL, XML, or marker file) and import it into your Digital Audio Workstation (DAW) alongside your original raw audio.
4. Review & Adjust: Your editor will display the AI’s suggested cuts as “non-destructive” edits. You can see exactly where Cleanvoice wants to cut. If the AI made a mistake or cut a breath you wanted to keep, you can simply adjust the clip boundaries to bring that audio back.

Key Benefits

• Non-Destructive Editing: The AI doesn’t permanently delete anything. It just tells your software what to hide or cut. You always have your original raw file intact underneath.
• Granular Control: You can verify every single edit. If the AI accidentally cuts the start of a word while removing a “stutter,” you can fix it in seconds.
• Studio Workflow Integration: It bridges the gap between AI automation and professional human editing. You let the AI do the boring work (finding 500 “ums”) and you handle the creative pacing.
• Visual Verification: You can see markers on your timeline indicating why a cut was made (e.g., “Filler Word,” “Mouth Sound,” “Long Silence”), helping you understand the edit logic.

Supported Software (Integrations)

Cleanvoice typically supports timeline/marker exports for major audio and video editors, including:

• Adobe Audition (often via markers or specific XML/script formats)
• DaVinci Resolve (via EDL/timeline import)
• Audacity (via Label tracks/markers)
• Reaper (via EDL or CSV marker import)
• Logic Pro & Pro Tools

Use Case Example

Imagine you have a 1-hour interview.

• Without Timeline Export: You download the cleaned MP3. You realize the guest’s laugh was cut off because it sounded like “noise.” You cannot get it back because it’s gone from the file.
• With Timeline Export: You open the project in Adobe Audition. You see a cut where the laugh used to be. You simply drag the edge of the clip to the right, and the laugh is restored. You keep the other 400 edits the AI did correctly.

How Cleanvoice AI Works

While Cleanvoice AI presents itself as a simple “magic button” solution, there is a sophisticated multi-stage process happening under the hood. It combines linguistic analysis (understanding language) with signal processing (manipulating audio waves).

Here is the detailed breakdown of how Cleanvoice AI transforms raw audio into a polished episode.

1. The Core Mechanism: Context-Aware AI

Most traditional noise gates work on volume—if a sound is quiet, it gets cut. Cleanvoice is different because it works on pattern recognition.

The AI has been trained on thousands of hours of speech data. This allows it to:

• Distinguish Phonemes: It knows the difference between the “s” sound in “snake” and a high-pitched hiss from a radiator.
• Understand Syntax: It analyzes the sentence structure to determine if a pause is a dramatic silence (to be kept) or an awkward dead air (to be shortened).
• Identify Speaker Profiles: It creates a “fingerprint” of the speaker’s voice to separate it from background noise or other speakers.

2. The Step-by-Step Processing Workflow

When you upload a file, Cleanvoice executes the following pipeline:

Phase 1: Ingestion & Analysis

• Normalization: First, the audio is analyzed for loudness. If the recording is too quiet or has sudden spikes, the AI levels the gain to ensuring consistent volume for analysis.
• Transcription-Based Mapping: The AI internally transcribes the audio (even if you don’t ask for a transcript). It uses this text map to locate filler words (“um,” “ah”) exactly where they occur in the sentence structure. This prevents it from accidentally cutting a word that sounds like a filler but is actually part of the content.

Phase 2: Signal Separation (The Cleanup)

• Spectral Subtraction: For background noise (fans, traffic), the AI looks at the frequency spectrum of the audio. It identifies constant noise frequencies and subtracts them from the speech frequencies without making the voice sound “underwater” or robotic.
• Transient Removal: For mouth sounds (clicks, lip smacks), the AI looks for “transients”—sharp, short spikes in the waveform. It surgically removes these milliseconds of audio.

Phase 3: The “Smart” Cut (Edit Decision Logic)

This is where Cleanvoice differs from standard editing software.

• The “Cut” Decision: When a filler word or long silence is found, the AI decides whether to cut it entirely or shorten it.
• Room Tone Synthesis (The “Invisible” Glue): If you simply cut a segment out of a recording, it leaves a moment of “digital black” (absolute silence). This sounds unnatural to the human ear because real rooms have “room tone” (subtle air ambience).
  • How Cleanvoice does it: It samples the ambient noise floor of your specific recording. When it cuts a filler word, it fills the gap with a synthetic loop of your room tone. This makes the edit invisible.

Phase 4: Multitrack Synchronization (For Interviews)

If you upload multiple tracks (e.g., Host A and Guest B):

• Bleed Detection: It checks if Guest B’s voice is bleeding into Host A’s microphone and silences the inactive mic.
• Sync Lock: If it cuts 2 seconds of “dead air” from the Host’s track, it automatically cuts the same 2 seconds from the Guest’s track. This ensures that the conversation stays perfectly synchronized and doesn’t drift out of time.

3. Output & Export Architecture

Once processing is complete, Cleanvoice offers two distinct ways to retrieve your work, catering to different user levels.

A. The Rendered Mix (For Most Users)

The AI “bakes” all the changes into a new audio file (MP3/WAV). This file is ready to publish immediately. It has been EQ’d, leveled, and cleaned.

B. The Timeline Export (For Pros)

For users who want control, Cleanvoice generates an EDL (Edit Decision List) or XML file.

• How it works: instead of giving you a new audio file, it gives you a small data file.
• Integration: You import this file into software like Adobe Audition, Davinci Resolve, or Audacity.
• Result: You see your original raw audio tracks in your editor, but with hundreds of “cuts” already made on the timeline. You can then manually adjust any specific cut if the AI made a mistake. This is “non-destructive” editing.

Summary of the “Smart” Advantages

Pricing and Plans

Cleanvoice AI offers a flexible pricing structure designed for different types of users, ranging from casual podcasters to professional editors and enterprises. Their model is primarily split into Subscriptions (for regular use) and Pay-As-You-Go (for occasional use).

1. Free Trial

Before committing to a paid plan, Cleanvoice offers a free trial to test the service.

• Includes: 30 minutes of processed audio.
• Features: Access to all cleaning features (filler word removal, noise reduction, etc.).
• Requirements: No credit card is required to start.

2. Subscription Plans (Monthly)

These plans are best for users with recurring audio editing needs, such as weekly podcasters or content creators. Subscriptions offer the lowest cost per hour.

• 10 Hours Plan:
  • Price: €11 per month (approx. €1.10/hour).
  • Includes: 10 hours of processed audio per month.
• 30 Hours Plan:
  • Price: €30 per month (approx. €1.00/hour).
  • Includes: 30 hours of processed audio per month.
• 100 Hours Plan:
  • Price: €90 per month (approx. €0.90/hour).
  • Includes: 100 hours of processed audio per month.

Key Subscription Features:

• Rollover: Unused hours roll over to the next month, up to 3 times your plan limit (e.g., on the 10-hour plan, you can accumulate up to 30 hours).
• Flexibility: You can upgrade, downgrade, or cancel your subscription at any time.
• Annual Billing: Yearly options are typically available (often offering ~2 months free), such as €110/year for the 10-hour/month tier.

3. Pay-As-You-Go (Credit Packs)

These are one-time purchases for users who edit audio sporadically or do not want a monthly commitment. Credits are more expensive per hour than subscriptions but offer longer validity.

• 5 Hours Pack:
  • Price: €11 (approx. €2.20/hour).
• 10 Hours Pack:
  • Price: €20 (approx. €2.00/hour).
• 30 Hours Pack:
  • Price: €45 (approx. €1.50/hour).

Key Pay-As-You-Go Features:

• Validity: Credits purchased are valid for 2 years.
• No Recurring Fees: You only pay when you need more hours.

4. Enterprise / Custom Plans

For businesses or agencies with high-volume needs (over 100 hours/month), Cleanvoice offers custom solutions.

• Threshold: Typically for 200+ hours of processed audio per month.
• Exclusive Benefits:
  • Custom API endpoints.
  • Priority customer support.
  • Custom pricing and billing arrangements.

Features Included in All Plans

Regardless of whether you choose a subscription or a credit pack, all paid plans generally include the full suite of AI editing tools:

• Filler Word Remover: Removes “um,” “ah,” “uh,” etc.
• Mouth Sound Remover: Eliminates lip smacks and clicks.
• Silence Remover: Shortens long pauses and dead air.
• Stutter Remover: Fixes stuttering for smoother speech.
• Background Noise Remover: Reduces ambient noise and reverb.
• Multilingual Support: Works with multiple languages and accents.
• Export Formats: Ability to export audio or timeline files (EDL) for use in DAWs like Adobe Audition or DaVinci Resolve.

Note: Prices are often listed in Euros (€) or USD ($) depending on your region, and usually exclude VAT.

(Prices are approximate and subject to change; check the official pricing page for the latest figures.)

Who Should Use Cleanvoice AI?

Cleanvoice AI is primarily designed for content creators and professionals who need to process spoken audio quickly without sacrificing quality. It is best suited for individuals and teams looking to automate the tedious parts of audio editing, such as removing filler words, mouth sounds, and long pauses.

1. Podcasters (Beginners & Pros)

• Why use it: Podcasting often involves long recordings with natural speech imperfections. Cleanvoice automates the “cleanup” phase, which is typically the most time-consuming part of editing.
• Key Benefit: It removes filler words (“um,” “ah,” “uh”) and dead air, making the final episode sound tighter and more professional without hours of manual cutting.
• Best for:
  • Solo Podcasters who edit their own shows and need to save time.
  • Interview Hosts dealing with guests who may have bad microphone habits or stutter frequently.

2. Video Creators & YouTubers

• Why use it: Audio quality is just as important as video quality. Viewers often click away if the audio is difficult to understand or full of distractions.
• Key Benefit: Cleanvoice ensures voiceovers and talking-head videos are crisp and clear by removing lip smacks and background noise. It can also generate EDL (Edit Decision List) files, allowing creators to import the cuts directly into video editors like Premiere Pro or DaVinci Resolve.
• Best for: Video essayists, tutorial creators, and vloggers.

3. Audiobook Narrators & Voice Actors

• Why use it: Audiobooks require a strict standard of audio purity. Listeners notice every mouth click and awkward breath in a long-form narration.
• Key Benefit: The Mouth Sound Remover and Stutter Remover are critical here. It helps narrators clean up raw takes before sending them to a sound engineer or mastering service.
• Best for: Indie authors narrating their own books and freelance voice-over artists.

4. Audio Engineers & Editors

• Why use it: While professionals often prefer manual control, Cleanvoice acts as a powerful “first pass” tool.
• Key Benefit: Instead of manually removing 500 “ums” from a client’s recording, an editor can run it through Cleanvoice to handle the grunt work and then spend their time on high-value tasks like mixing, sound design, and EQ.
• Best for: Freelance editors handling multiple clients with tight deadlines.

5. Corporate & Agency Teams

• Why use it: Companies producing webinars, internal training videos, or marketing materials need consistent audio quality at scale.
• Key Benefit: It allows teams to process large volumes of audio without needing a dedicated audio specialist for every single file.
• Best for: Marketing agencies, HR departments creating training modules, and startup founders doing demo videos.

Summary Checklist: Is it for you?

You should use Cleanvoice AI if:

• ✅ You spend too much time manually cutting out “ums” and “ahs.”
• ✅ You are not an audio expert but want professional-sounding results.
• ✅ You have long recordings (interviews, lectures) that need to be shortened and tightened.
• ✅ You want to export timelines to other software (Adobe Audition, DaVinci Resolve) to speed up your workflow.

Pros and Cons

Cleanvoice AI is a powerful tool that solves a very specific, very painful problem: the tedium of cleaning up speech audio. While it may not replace a human sound engineer for creative mixing, it is an incredible assistant that can handle the 80% of editing work that is repetitive and boring.

If you value your time more than the cost of a few coffees a month, Cleanvoice is definitely worth testing.

FAQs about Cleanvoice AI

What is Cleanvoice AI?
It is an AI-powered audio editing tool that automatically removes filler words, noise, mouth sounds, stutters, and long silences from recordings.

Who should use Cleanvoice AI?
Podcasters, video creators, voice actors, audio editors, and teams that produce spoken content regularly.

What problems does it solve?
It eliminates time-consuming manual editing tasks like cutting “ums,” removing clicks, and shortening pauses.

How does Cleanvoice AI remove filler words?
It uses speech recognition and context analysis to detect disfluencies and edits them while preserving natural pacing.

Can it remove background noise?
Yes, it reduces continuous sounds like fans, traffic, and hum while keeping the voice clear.

Does it remove mouth sounds?
Yes, it detects and removes lip smacks, saliva clicks, and other subtle mouth noises.

Can it fix stuttering?
Yes, it identifies repeated speech fragments and removes extra repetitions smoothly.

Does it shorten silences automatically?
Yes, it detects long pauses and reduces them to natural-sounding gaps.

Will the audio sound robotic after editing?
Usually no, because it inserts room tone and preserves natural rhythm, though aggressive settings may sound overly polished.

What is room tone insertion?
It fills edited gaps with background ambience from the recording so cuts sound natural.

Does it support multiple languages?
Yes, it supports over 20 languages and various accents.

Can it handle multi-speaker recordings?
Yes, it supports multitrack editing and keeps all speakers synchronized.

What is multitrack sync?
It ensures that edits applied to one track are mirrored on other tracks to prevent timing issues.

Does it work with video files?
Yes, it can process audio from video while maintaining sync.

Can I control how aggressive the edits are?
Yes, you can adjust sensitivity settings from safe to aggressive.

Can I choose what to remove?
Yes, you can select specific issues like filler words, noise, or breaths.

What is timeline export?
It provides an editable file with AI-suggested cuts that you can adjust in professional software.

Which software does it integrate with?
It works with tools like Adobe Audition, DaVinci Resolve, Audacity, and Reaper.

Is it a full audio editing program?
No, it focuses only on cleanup and not advanced mixing or sound design.

Does it require internet access?
Yes, it is a cloud-based tool and needs an internet connection.

How fast is the processing?
Most files are cleaned within minutes depending on file size.

Is there a free trial?
Yes, it typically offers around 30 minutes of free processing.

What pricing options are available?
It offers monthly subscriptions and pay-as-you-go credit packs.

Do unused hours roll over?
Yes, subscription hours can roll over up to a limit.

Can I cancel anytime?
Yes, subscriptions are flexible and can be changed or canceled.

Is it good for beginners?
Yes, it is designed to be simple and requires no technical audio skills.

Can professionals still benefit from it?
Yes, many use it as a first-pass cleanup tool before manual editing.

Does it remove breathing sounds?
Yes, it can either reduce or fully remove breath noises.

Can it preserve background music?
Yes, it has options to clean voice while keeping music intact.

Is it useful for audiobooks?
Yes, it helps narrators meet strict audio quality standards.

Does it support batch processing?
Yes, you can upload multiple files at once.

What file formats does it support?
Common formats like MP3, WAV, and video audio tracks are supported.

Can it accidentally remove important audio?
Sometimes aggressive settings may cut intended pauses or subtle speech.

Is the editing destructive?
No, timeline export allows non-destructive editing.

How much time can it save?
It can reduce hours of manual editing to just minutes.

Is it suitable for corporate content?
Yes, it works well for webinars, training videos, and marketing audio.

Can it help improve listener engagement?
Yes, by tightening pacing and removing distractions.

Does it balance audio levels automatically?
Yes, it can normalize and balance speaker volumes.

Is it worth the cost?
For frequent creators, the time saved usually outweighs the subscription cost.