Cleanvoice AI Review 2026: Pricing, Pros & Cons

Overview

For podcast hosts, voiceover artists, audiobook narrators, and video creators, audio editing is frequently described as the most agonizing stage of the production pipeline. While structuring ideas and interviewing guests can be energizing, scrubbing through a two-hour multi-track waveform to manually cut hundreds of verbal crutches ("um," "uh," "like," "you know"), snip awkward silences, and surgically slice out disgusting mouth clicks, saliva crackles, and heavy gasping breaths is soul-crushing labor. Professional audio engineers routinely estimate that editing one hour of raw spoken dialogue takes between three and four hours of tedious manual scrubbing.

Cleanvoice AI was built specifically to solve this acoustic bottleneck. Founded in Germany, the specialized AI audio platform bypassed the trend of building bloated, all-in-one generic video suites to focus on a singular, master-level engineering objective: building deep-learning neural networks trained specifically to identify and isolate microscopic acoustic speech imperfections.

In 2026, Cleanvoice AI has evolved into an indispensable post-production secret weapon for over 40,000 podcasters, professional audio studios, and YouTube creators. Unlike black-box tools that destructive-render audio and introduce robotic artifacts, Cleanvoice offers both instant cloud audio cleanup and exportable timeline markers (EDL, Audacity labels, Final Cut XML) that allow human engineers to review every cut non-destructively.

However, Cleanvoice is not a recording studio or a full-fledged DAW (Digital Audio Workstation). It does not record remote interviews like Riverside, nor does it generate video B-roll like InVideo. In this comprehensive, hands-on review, we put Cleanvoice AI through intensive acoustic stress tests, evaluate its unique mouth-click algorithms, analyze its transparent credit pricing, and examine community feedback from Reddit’s audio engineering forums.

What is Cleanvoice AI?

Cleanvoice AI is a specialized cloud-based audio processing platform designed to automate the repetitive, micro-surgical aspects of spoken-word dialogue editing. By training custom machine learning models on hundreds of thousands of hours of speech across multiple languages and acoustic environments, Cleanvoice automatically detects, isolates, and removes:

1. Filler Words: Eliminates verbal hesitations including "um," "uh," "ah," "er," and conversational crutches like "like," "you know," and "right" in multiple languages.
2. Mouth Sounds & Saliva Clicks: Surgically removes microscopic high-frequency clicks, lip smacks, tongue clicks, and saliva pops caused by dry mouth or close-mic proximity—the single hardest sound to remove manually without dulling high-end frequencies.
3. Stutters and False Starts: Detects stuttered syllables (e.g., "I-I-I think that...") and cleans them into smooth, articulate phrases.
4. Breath Sounds: Attenuates or removes loud, jarring gasps and heavy breathing between sentences while preserving natural respiratory cadence.
5. Dead Air and Silences: Automatically detects long pauses and shortens them to natural conversational gaps.

Cleanvoice supports multi-track audio processing, meaning you can upload separate audio tracks for Host A and Guest B. The algorithm analyzes cross-talk, ducking bleed and synchronizing edits across all tracks so that cuts on one microphone do not cause phase cancellation or jarring audio jumps on the other.

Key Features Breakdown

1. The Mouth Click & Lip Smack Eliminator

If Cleanvoice has a "killer feature" that sets it apart from every competitor—including Descript and Adobe Podcast—it is its mouth sound algorithm.

Anyone who records with a sensitive large-diaphragm condenser microphone (such as a Shure SM7B, Rode NT1, or Lewitt LCT 440) knows the horror of mouth clicks. Tiny saliva bubbles popping as the speaker opens their mouth or separates their lips create sharp, transient clicks between 2 kHz and 8 kHz. In traditional post-production, removing these requires either tedious manual spectral repair in iZotope RX or aggressive de-clicking plugins that often smear vocal consonants (like "t", "k", and "p").

Cleanvoice’s neural network was trained on isolated mouth sounds. It identifies the microscopic click transient without touching the surrounding vocal formant. In testing, Cleanvoice eliminated over 90% of intrusive saliva noises while leaving vocal brightness completely intact—a feat that alone saves audio engineers hours of manual de-clicking.

2. Multi-Language Filler Word Detection

While many transcription tools only recognize English filler words, Cleanvoice is natively multilingual. Its acoustic models detect filler sounds in English, German, French, Spanish, Italian, Portuguese, Dutch, Swedish, and Australian/British dialects.

Crucially, Cleanvoice distinguishes between an acoustic filler ("um") and a purposeful word. If a speaker says "I like this book," the system leaves "like" untouched. If the speaker pauses and mutters "It was, like... pretty cool," Cleanvoice flags the filler "like" for removal.

3. Non-Destructive Timeline Export (EDL, Audacity, Reaper, Premiere)

Professional audio engineers typically despise automated AI cleanup tools because they output a "baked-in" audio file. If the AI accidentally cuts off a word or clips a speaker's laugh, there is no way to fix it without re-editing from scratch.

Cleanvoice solves this with Exportable Markers & Timelines. Instead of just downloading a rendered MP3/WAV, you can download:

• Audacity Label Track: An interactive text track showing every cut, click, and filler word.
• Reaper EDL / Project File: Opens directly in Reaper with every cut laid out on the timeline, allowing you to drag clip boundaries to restore trimmed syllables.
• Premiere Pro & Final Cut Pro XML: Imports into video editing timelines with marker pins highlighting every alteration.

For serious creators and audio professionals, this hybrid workflow provides the ultimate balance: 90% of the manual grunt work is automated, while 100% of final creative control remains in human hands.

4. Smart Stutter Removal & Breath Attenuation

Stuttering during conversational interviews is entirely natural, but in edited podcast broadcasts, repeated syllables can distract listeners. Cleanvoice identifies when a speaker repeats the first phoneme of a word and cleanly splices the waveform at zero-crossings, resulting in an articulate delivery without noticeable phase clicks.

For breaths, Cleanvoice does not abruptly mute them (which creates an eerie, unnatural vacuum of silence). Instead, it applies subtle volume attenuation (typically -12dB to -18dB), reducing distracting hyperventilating gasps to subtle, natural human breathing.

5. Multi-Track Alignment & Bleed Removal

When two podcasters record in the same physical room, the host's voice inevitably bleeds into the guest's microphone, and vice versa. When an editor tries to cut out a guest's cough, the cough is still audible on the host's track.

Cleanvoice's multi-track processor compares both audio tracks simultaneously. When the host speaks, it mutes the guest’s ambient bleed, eliminating room echo and phase interference. Edits are synchronized across both tracks, ensuring that shortening a pause does not knock the two participants out of sync.

Hands-On Workflow: Cleaning a 45-Minute Raw Podcast Interview

To test Cleanvoice AI under authentic production conditions, we uploaded a raw 45-minute two-track podcast interview recorded over USB dynamic microphones in an untreated home office. The recording contained noticeable room reverberation, frequent "ums" and "likes," dry-mouth saliva clicks, and several long awkward pauses while the guest consulted notes.

Step 1: Ingesting the Multi-Track Audio

We logged into Cleanvoice’s web dashboard and dragged two WAV files (Host and Guest) into the upload area. The interface asked us to select our cleanup preferences:

• Remove Filler Words (Enabled)
• Remove Mouth Sounds (Enabled)
• Shorten Stutters (Enabled)
• Shorten Silences (Enabled - set to 1.2s max pause)
• Keep ambient room tone in gaps (Enabled)

Step 2: Cloud Processing Time

Cleanvoice processed the 45-minute multi-track recording in 3 minutes and 42 seconds. This is remarkably fast compared to video render queues.

Step 3: Reviewing the Detection Summary

Once complete, Cleanvoice presented an interactive analytics dashboard detailing exactly what the algorithm found:

• 142 Filler words ("um": 84, "like": 38, "you know": 20)
• 318 Mouth sounds and saliva clicks
• 24 Stutters
• 19 Awkward dead-air silences (totaling 4 minutes and 12 seconds saved)

Step 4: Listening to the Results & Export

We downloaded the cleaned WAV file and imported it into our audio editor alongside the original raw tracks for side-by-side comparison.

The Good: The mouth sound removal was astonishing. All the distracting "clicks" and "lip smacks" between sentences were completely gone, with zero dulling of high-frequency vocal clarity. The trimmed silences sounded completely natural because Cleanvoice filled the gaps with matching room tone rather than digital silence.

The Catch: On three occasions, the algorithm was overly aggressive. In one instance, the guest said "I'm... entirely convinced," and Cleanvoice clipped the "I'm" thinking it was an "um." Because we had also downloaded the Reaper EDL marker file, we opened the project in Reaper, dragged the audio edge out 200 milliseconds, and restored the clipped word in five seconds.

Pricing & Plans (2026 Analysis)

Unlike most SaaS tools that force users into rigid recurring subscriptions, Cleanvoice AI offers both monthly subscriptions and completely flexible pay-as-you-go credit packages.

The Transparent Value of Pay-As-You-Go

Cleanvoice's pricing model is one of the fairest in the creator economy. With the Pay-As-You-Go packages, purchased credits never expire. If you record four episodes this month and take the next two months off, you do not lose your unused minutes or pay a recurring monthly fee while your podcast is on hiatus.

Furthermore, multi-track audio is billed fairly: uploading a 1-hour interview with two separate tracks consumes 2 hours of processing credit (1 hour per track). For an indie creator producing four 45-minute solo episodes per month (3 hours total), Cleanvoice costs less than €5 per month.

What Cleanvoice AI Does Best

• Unrivaled Mouth Sound & Lip Smack Removal: Cleanvoice's de-clicking algorithm is easily the best automated solution on the market. It eliminates wet mouth noises without dulling high-end treble or requiring hours of manual iZotope RX spectral painting.
• Non-Destructive DAW Integration: Providing Audacity labels, Reaper EDLs, and Premiere XML project files respects professional workflows. Editors get 90% of the manual trimming done instantly without losing final control over the edit.
• Completely Fair Pay-As-You-Go Pricing: Credits that never expire mean occasional podcasters and seasonal creators never pay for software they aren't actively using.
• Natural Room Tone Preservation: Unlike blunt noise gates that create jarring digital silence between words, Cleanvoice fills edited gaps with synthesized room tone, keeping the listening environment natural.
• True Multi-Track Speech Intelligence: Comparing tracks to eliminate mic bleed while preserving conversational timing prevents multi-host interviews from drifting out of sync.

Where Cleanvoice AI Falls Short

• Single-Purpose Utility: Cleanvoice does one thing exceptionally well—clean up spoken-word audio. It does not record remote interviews (like Riverside), it does not generate video B-roll (like InVideo), and it does not host podcast RSS feeds.
• Occasional False Positives on Fast Speech: Rapid or accented speakers who slur words into filler phrases can occasionally have valid words clipped. A human listening pass is still necessary before final publication.
• No Built-in Timeline Waveform Editor: The web dashboard is strictly an upload/download portal. You cannot drag audio clips or splice waveforms inside Cleanvoice's browser interface; you must download the results and inspect them in your own audio software.
• Multi-Track Multiplies Credit Consumption: If you interview three guests on separate tracks for 90 minutes, processing that single episode will consume 6 hours of your credit allowance.

Cleanvoice AI vs. Competitors

When to Choose Cleanvoice AI Over Descript

Choose Cleanvoice AI if audio quality is your top priority and you already edit in a dedicated DAW like Audacity, Reaper, Logic Pro, or Premiere. Cleanvoice’s mouth-click removal and stutter detection are far more sophisticated than Descript’s broad-brush filler word removal, and its ability to export non-destructive timeline markers keeps you in full control of your final audio mix.

When to Choose Descript Over Cleanvoice AI

Choose Descript if you are producing video podcasts and want to edit dialogue by editing text. Descript is an entire video editor that handles transcription, multi-cam video switching, and caption burning in addition to basic audio cleanup.

Final Verdict: Is Cleanvoice AI Worth It in 2026?

Cleanvoice AI is one of the rare AI tools that doesn't try to be everything to everyone; it tackles one of the most frustrating problems in audio production and solves it with surgical brilliance.

Buy Cleanvoice AI if:

• You are a podcaster, voiceover artist, or YouTuber plagued by mouth clicks, saliva noises, and excessive filler words that take hours to edit manually.
• You already use a DAW (Audacity, Reaper, Premiere, Final Cut) and want an automated tool that generates non-destructive timeline markers rather than a locked audio file.
• You produce content intermittently and want a flexible pay-as-you-go credit model where credits never expire.

Skip Cleanvoice AI if:

• You want an all-in-one recording and hosting suite (choose Riverside or Podcastle instead).
• You are creating video content and want to edit speech by deleting words from a script (choose Descript instead).
• You already have professional sound-stage microphones and flawless vocal delivery that doesn't require mouth de-clicking.

Final Score: 4.5 / 5.0

Frequently Asked Questions

1. Does Cleanvoice AI offer a free trial?

Yes. Cleanvoice AI provides 30 minutes of free audio processing credits upon sign-up without requiring a credit card. This allows you to upload your own raw microphone recordings to test its mouth sound removal and filler word detection before purchasing credits.

2. Can Cleanvoice AI remove mouth clicks and saliva sounds?

Yes. Mouth click and lip smack removal is Cleanvoice’s signature feature. It uses specialized neural networks trained to detect high-frequency saliva pops and click transients, removing them cleanly without dulling the high-end clarity of the surrounding vocal track.

3. Do pay-as-you-go credits expire on Cleanvoice AI?

No. Unlike most SaaS subscriptions that confiscate unused minutes at the end of each billing cycle, pay-as-you-go credits purchased on Cleanvoice AI never expire. You can purchase a 10-hour or 30-hour package and use it over several months or years.

4. How does Cleanvoice AI integrate with Audacity and Reaper?

Instead of just providing a rendered audio file, Cleanvoice allows you to download an Audacity Label Track or a Reaper EDL file. When imported into your DAW, these markers highlight every single cut, click, and filler word, allowing you to drag clip boundaries and adjust edits non-destructively.

5. Does Cleanvoice AI support multiple audio tracks?

Yes. Cleanvoice supports multi-track audio processing for interviews featuring multiple speakers. The algorithm analyzes cross-talk bleed between microphones and synchronizes all cuts across every track to ensure participants never drift out of sync.

6. What languages does Cleanvoice AI support for filler word removal?

Cleanvoice supports filler word detection in multiple languages, including English, German, French, Spanish, Italian, Portuguese, Dutch, and Swedish, as well as multiple regional accents and dialects.

7. Does Cleanvoice AI make audio sound robotic?

No. Unlike heavy-handed AI voice filters that re-synthesize speech, Cleanvoice operates as a surgical cutter and dynamic attenuator. It trims silences, mutes clicks, and lowers breath volumes while leaving the organic timbre of the speaker's real voice untouched.

8. What is the difference between Cleanvoice AI and Adobe Podcast?

Adobe Podcast is primarily a speech enhancement filter ("Enhance Speech") that uses generative diffusion to re-synthesize muffled, noisy audio. Cleanvoice AI is a surgical dialogue editor designed to remove mouth clicks, stuttered syllables, filler words, and dead air. Many professional podcasters run Cleanvoice first to edit dialogue, and then apply mild equalization in post-production.