ChatGPT answers, unedited

Yes. If your priority is removing “um,” “uh,” repeated words, false starts, and stutters while keeping the speech sounding human, I’d look at these:

• descript.com — Best overall. It transcribes the recording and lets you edit the audio by editing the text. Its filler-word tool detects things like “um,” “uh,” and “you know,” while “Avoid harsh cuts” analyzes the surrounding audio to avoid awkward edits. It also has dedicated stutter removal and AI regeneration for smoothing rough cuts. Descript Help Center Descript
• riverside.com — Best for podcasts/interviews. Its AI can remove filler words and pauses, with a Smart mode that balances cutting and muting to preserve natural flow. It also supports transcript-based editing. Riverside Help Center Riverside
• Adobe Podcast — Worth considering if your biggest concern is making the remaining voice sound polished and studio-like, although I'd choose Descript or Riverside specifically for aggressive disfluency editing.

My pick

For a recorded speech, presentation, interview, or YouTube narration, I'd start with Descript. Its combination of filler-word detection, stutter cleanup, silence editing, and AI regeneration is particularly suited to what you're describing. Descript Descript

The key is not to remove every pause. A good editor preserves short pauses and natural breaths while removing repetitive stutters and obvious fillers. Riverside's Smart mode and Descript's “Avoid harsh cuts” are specifically designed around that problem. Riverside Help Center Descript Help Center

If you tell me whether this is a podcast, interview, presentation, audiobook, or YouTube video, I can recommend the best option and settings for making it sound natural rather than over-edited.

Yes. If your priority is removing “um,” “uh,” repeated words, false starts, and stutters while keeping the speech natural, I’d look at these:

• cleanvoice.ai — best overall for this specific job. It specifically detects filler words, hesitations, stutters, mouth sounds, and long pauses. Its stutter system tries to remove the repetition without cutting the actual word, and it can preserve natural room tone around edits. Cleanvoice Cleanvoice Cleanvoice
• descript.com — best if you also want a full audio/video editor. It transcribes your recording and lets you remove filler words directly from the transcript. Its “Avoid harsh cuts” option analyzes surrounding audio to avoid awkward edits. It also has tools for repeated lines, false starts, and shortening excessive gaps. Descript Help Center Descript Help Center
• podcast.adobe.com — best for making the voice itself sound polished. I’d pair it with one of the above if your main issue is stutters/fillers, rather than use it as the primary filler-word editor.

My pick

For a recording where someone says something like:

“So, um, I—I think, uh, what we should, you know, do is— is probably…”

Cleanvoice is probably the first one I'd try. It is designed specifically for this kind of spoken-word cleanup and offers 30 minutes of free processing to test it. Cleanvoice

If you're editing YouTube videos, interviews, presentations, or podcasts and want to manually review what the AI changed, Descript is probably the better choice because you can see and edit the transcript alongside the audio.

If you tell me whether this is for YouTube/video, podcast, voiceover, Zoom/interview, or an audiobook, I can recommend the best option and settings for the most natural result.

Yes. If your priority is removing “um,” “uh,” repeated words, false starts, and stutters while keeping the speech sounding human, I’d shortlist these:

1. Descript — best overall - Automatically detects filler words and can remove them from both transcript and audio.
2. Its “Avoid harsh cuts” option analyzes the surrounding audio and skips edits that would sound jarring. Descript Help Center Descript Feedback
3. Also has tools for stutters/repeated phrases, retakes, long pauses, and general clarity editing. Descript Help Center
4. Particularly good for podcasts, YouTube videos, lectures, interviews, and presentations.
5. descript.com

1. Riverside — excellent for conversational recordings - Its AI can remove filler words and pauses.
2. Importantly, its Smart removal mode uses a mixture of cuts and mutes specifically to preserve natural flow, rather than mechanically chopping every “um.” Riverside Help Center
3. Particularly appealing if you're editing interviews or two-person conversations.
4. riverside.com

My recommendation

Start with Descript. It is probably the closest match to what you're describing because you can edit the transcript instead of manually cutting the waveform, while its AI handles filler words, stutters/false starts, pauses, and audio cleanup. Descript Help Center Descript Help Center

For the most natural result, I wouldn't remove every hesitation. Leaving an occasional short pause or “uh” can actually make a speaker sound more human. Descript's Avoid harsh cuts setting is especially useful for this.

If you tell me what you're recording (podcast, Zoom interview, YouTube video, lecture, voice memo, etc.) and whether you want free software, I can narrow it down to the best 2–3 options.

Yes. If your priority is “remove ums, ahs, stutters, false starts, and awkward pauses while still sounding like a human,” there are several good AI editors.

My top picks

1. Descript — best overall
   • Automatically detects filler words such as “um,” “uh,” and “you know.”
   • Specifically handles stutters, repeated phrases, false starts, and retakes.
   • Its “Avoid harsh cuts” option skips edits that would make the audio sound clipped. help.descript.comhelp.descript.comhelpx.adobe.comwww.capcut.comwww.heyeddie.aihelp.descript.com
   • Its Regenerate feature can smooth an edit so the transition sounds natural rather than like a hard cut. help.descript.comhelp.descript.com
   • Also has voice enhancement/noise removal through Studio Sound.

This is the one I'd try first for podcasts, interviews, presentations, YouTube videos, or recorded voiceovers.

2. Adobe Premiere Pro — best if you already edit video
   • Its Text-Based Editing can automatically find filler words and pauses and remove them in bulk. helpx.adobe.com
   • Better choice if you're already doing sophisticated video editing in Premiere.
   • Less straightforward than Descript if your sole objective is cleaning up speech.

3. CapCut — easiest inexpensive option
   • Has automatic filler-word removal and pause trimming.
   • Provides preview controls so you can inspect the AI edits before exporting. www.capcut.com
   • Particularly convenient for short-form/social video.

4. HeyEddie — interesting for conversational editing
   • You can give it instructions such as “remove filler words but keep natural pauses.”
   • It can distinguish pauses from speech and remove false starts while retaining selected beats. www.heyeddie.ai

For the most natural result

I'd use Descript and not simply remove every pause. A good workflow is:

Remove filler words → remove obvious stutters/false starts → shorten only long pauses → use Regenerate on any abrupt cuts → listen through once.

That tends to sound much more natural than aggressively chopping every “um” and every silence. Descript specifically provides controls for avoiding harsh cuts and regenerating awkward transitions. help.descript.comhelp.descript.com

If you tell me what kind of recording you have (podcast/interview/Zoom meeting/voiceover/video) and whether you want free software, I can narrow this down to the best 2–3 options for your situation.

Yes. If your priority is “remove the ums, uhs, repeated syllables, false starts, and stutters, but make the speaker still sound like themselves,” there are a few good options.

My top picks

1. Descript — best overall
   • Automatically detects filler words such as “um,” “uh,” and “you know.”
   • Has dedicated stutter/retake removal, plus tools for shortening awkward pauses.
   • Its Avoid harsh cuts option specifically tries to prevent edits from sounding clipped. help.descript.com
   • Its Regenerate feature can smooth an edit that sounds abrupt by generating audio that blends with the surrounding original voice. help.descript.com
   • Best for: podcasts, interviews, YouTube videos, presentations, courses.

2. Cleanvoice — best if you mainly want automatic speech cleanup
   • Particularly focused on removing filler words, stutters, mouth sounds, and awkward pauses.
   • A 2026 comparison found its filler-word detection particularly impressive. techsifted.com
   • Best for: “Upload recording → let AI clean it → download finished audio.”

3. Wisecut — best for video
   • Automatically removes silences and can polish the voice, while also handling captions, reframing, and other video editing. wisecut.ai
   • Best for: talking-head YouTube videos and social clips.

What I'd choose

If you're editing spoken recordings rather than music, I'd start with Descript. It gives you unusually fine control: you can let AI identify the problems, review the proposed cuts in the transcript, and selectively keep/remove them. That matters because aggressive filler removal can actually make someone sound less natural.

For example, I'd use:

Remove filler words → Remove stutters/retakes → lightly shorten long pauses → use Regenerate only where a cut sounds abrupt.

Descript explicitly supports adjusting the aggressiveness of its clarity editing, from light to heavy, which is useful for preserving a conversational delivery. help.descript.com

If you tell me what kind of recording you have (podcast/interview/Zoom meeting/audiobook/YouTube/video presentation) and whether you want free or paid, I can narrow it down to the 2–3 best choices.

For intelligently removing filler words (“um,” “uh,” “like”), stutters, false starts, and awkward pauses while keeping speech natural, these are among the best options:

My picks by situation

• Podcast/interview editing: Descript
• A nervous speaker with lots of “um,” “uh,” and repeated phrases: Descript or Cleanvoice
• Bad microphone / echo / background noise: Adobe Podcast Enhance Speech first, then edit
• Professional voiceover: Descript + manual review, or a traditional editor with AI assistance
• Privacy-sensitive recordings: Look for tools with local/on-device processing rather than cloud upload

A key point: fully automatic removal can make a person sound robotic if it removes every hesitation. The best tools let you review each cut or adjust aggressiveness. Descript, for example, includes controls to avoid harsh cuts and can skip edits that would sound unnatural. help.descript.com

If you tell me whether this is for podcasts, YouTube videos, interviews, lectures, voiceovers, or personal recordings, I can narrow it down.

Yes. If your priority is removing filler words and stutters while still sounding like a real person, these are the strongest options:

🥇 My first choice: Descript

Descript is probably the closest match to what you're describing. It automatically identifies “um,” “uh,” “you know,” etc., and also has tools for repeated lines, false starts, and awkward pauses. help.descript.com

The particularly useful part is Regenerate: if removing a word creates a choppy edit, Descript can regenerate the surrounding audio using the original voice to smooth the transition. help.descript.com

That's important because simply deleting every “um” can make someone sound unnaturally fast or chopped up.

🥈 Riverside

Riverside is excellent if you're editing interviews, podcasts, or conversations. Its filler-word tool has a “Smart” mode that uses a mixture of cuts and mutes specifically to preserve natural flow. support.riverside.com

🥉 CapCut

CapCut is worth considering if you're mainly making YouTube/TikTok/Instagram videos. Its AI can detect fillers, pauses, and hesitations and provides a preview so you can check that the result hasn't become too abrupt. www.capcut.com

If you're particularly concerned about stuttering

Tella Auto Cut is interesting because it explicitly targets restarts, repetitions, incomplete sentences, filler words, and silences, rather than merely deleting “um” and “uh.” www.tella.com

Tella Auto Cut

And if you don't want your recordings uploaded to a cloud service, BCut processes everything locally on your computer and detects silences, fillers, and repeated takes. www.bcut.app

My recommendation: Start with Descript. For the most natural result, don't set it to indiscriminately delete every hesitation—remove obvious fillers, repeated words, and false starts, then use its smoothing/regeneration capability on edits that sound abrupt.

If you tell me whether your recordings are podcasts, interviews, lectures, YouTube videos, Zoom calls, or voice memos, I can narrow this down to the 2–3 best choices and their current pricing.

For intelligently removing filler words (“um,” “uh,” “you know”), stutters, repeated phrases, and awkward pauses while keeping speech natural, these are some of the strongest options:

1. Descript — best overall for most people

Descript is probably the easiest choice if you want a “make this recording professional” workflow. It transcribes your audio and lets you edit the transcript like a document. Its AI tools can detect and remove filler words, retakes, and excessive pauses while preserving the flow of speech. help.descript.comhelp.descript.com

Good for:

• Podcasts
• Voiceovers
• Interviews
• Courses and presentations
• YouTube videos

Why it sounds natural: You can review each cut, and features like “avoid harsh cuts” help prevent edits that sound like the speaker was chopped mid-word. help.descript.comhelp.descript.com

2. Cleanvoice AI — strongest for automatic cleanup

Cleanvoice AI focuses specifically on spoken-word cleanup:

• filler words
• stutters
• repeated phrases
• mouth sounds
• long silences

It is a good choice if you want to upload a recording and get back a cleaner version with minimal manual editing.

3. Adobe Podcast — best for improving bad recordings

Adobe Podcast is excellent for making a voice recording sound more like it was recorded in a studio. Its Enhance Speech tool reduces noise, echo, and room problems. podcast.adobe.com

It is less focused on removing “um/uh” and stutters, but it pairs well with a dedicated speech editor.

4. Auphonic — best finishing step

Auphonic is often used after editing to:

• balance volume
• reduce noise
• normalize loudness
• make voices consistent

It is especially useful for podcasts with multiple speakers.

5. Aulio Studio — good if privacy matters

Aulio Studio is designed for Mac and emphasizes on-device processing. It includes filler removal and stutter removal features, which can be useful if you do not want recordings uploaded to a cloud service. www.auliostudio.com

My picks by situation:

• Podcast/interview editing: Descript
• One-click “remove all the ums and stutters”: Cleanvoice AI
• Bad microphone or noisy room: Adobe Podcast → then Descript/Cleanvoice
• Professional workflow: Descript → Auphonic
• Sensitive recordings that should stay local: Aulio Studio

For the most natural result, avoid removing every pause. The best AI editors leave some hesitation and breathing so the speaker still sounds human rather than artificially sped up.

Yes. If your main goal is automatically removing “um,” “uh,” repeated words, false starts, and stutters without making the speaker sound chopped up, a few tools stand out:

Best options

1. Descript — best overall
   • Automatically detects filler words and lets you remove them from both the transcript and audio.
   • Has “Avoid harsh cuts”, which skips edits likely to sound awkward.
   • Its Regenerate feature can smooth out jumpy edits using the original voice. help.descript.com
   • It can also detect retakes/false starts, not just “ums” and “uhs.” help.descript.compodcast.adobe.comcommunity.adobe.com
   • My pick if naturalness is the priority.

2. Cleanvoice — best for aggressive speech cleanup
   • Particularly geared toward podcasts and spoken recordings.
   • Good choice when you want the software to automatically identify filler words, stutters, repeated phrases, and awkward silences rather than manually editing a transcript.
   • A recent 2026 comparison specifically identifies it as a specialist for filler-word and stutter removal. techtippr.com

3. Adobe Podcast — best for improving audio quality
   • Excellent for removing background noise, room echo, and other audio problems while preserving the voice's natural qualities. podcast.adobe.com
   • However, it's not my first choice for automatically removing stutters/filler words; Adobe's Enhance Speech is primarily an audio-enhancement tool. community.adobe.com

What I'd use

For a recorded interview, presentation, YouTube video, or podcast, I'd probably use:

Descript → remove filler words/retakes → use Regenerate on any cuts that sound abrupt → optionally Adobe Podcast for final audio enhancement.

The important distinction is that simply deleting every “um” can make speech sound unnaturally fast. Descript's ability to analyze the surrounding audio and regenerate/smooth edits makes it particularly useful when you want the result to sound like the person naturally spoke that way. help.descript.com

If you tell me what you're editing (podcast, interview, Zoom recording, YouTube video, voice memo, etc.) and whether you're on Mac/Windows/iPhone, I can narrow it down to the best 2–3 choices and their current pricing.

For intelligently removing filler words (“um,” “uh,” “you know”), stutters, false starts, and awkward pauses while keeping speech natural, these are some of the strongest options:

1. Descript — best overall choice

Descript is probably the easiest if you want the recording to remain conversational. It transcribes your audio, lets you edit by changing the text, and can automatically detect and remove filler words such as “um” and “uh.” It also has tools for removing retakes and shortening awkward gaps. help.descript.comhelp.descript.com

Best for: podcasts, video narration, interviews, lectures, webinars.

2. Cleanvoice AI — best for aggressive cleanup

Cleanvoice AI specializes in removing:

• filler words
• repeated phrases
• mouth sounds
• long pauses
• some stutters

It is designed specifically for spoken-word recordings, so it often requires less manual editing than a general audio editor.

3. Adobe Podcast — best “make my voice sound better” tool

Adobe Podcast is excellent for improving a recording that sounds like it was made in a room, on a laptop mic, or in a noisy environment. Its Enhance Speech feature reduces noise and reverb and makes dialogue clearer. podcast.adobe.com

It is less focused on removing “ums” and stutters than Descript, but it is great after editing.

4. Auphonic — best finishing step

Auphonic is useful after cleanup:

• balances loudness
• reduces noise
• levels different speakers
• prepares files for publishing

A common workflow is:

1. Descript/Cleanvoice → remove mistakes and filler
2. Auphonic/Adobe Podcast → polish the final sound

My recommendations by use case

• Podcast episode: Descript → Auphonic
• YouTube talking-head video: Descript → Adobe Podcast
• Voiceover/narration: Descript or Cleanvoice
• Interview with multiple speakers: Descript
• Quick free improvement: Adobe Podcast Enhance Speech

One caution: fully automatic stutter removal can sometimes make a speaker sound too edited. The best tools let you review changes before exporting, so you can keep natural pauses and personality. help.descript.comhelp.descript.com

If you tell me whether this is for podcasts, YouTube, voiceover, lectures, or personal recordings, and whether you need Mac/Windows/mobile, I can narrow it down.

Yes. For this specific job, Descript is probably the best all-around choice right now.

Best options

Why I'd start with Descript: it transcribes your recording and lets you edit the audio by editing the text. Its AI can automatically identify and remove “um,” “uh,” “you know,” etc., and it also has tools for removing retakes/false starts and shortening awkward gaps. Importantly, its “Avoid harsh cuts” option analyzes surrounding audio to skip edits that would sound clipped. help.descript.com

It also has Regenerate, which can smooth out an edit that sounds abrupt by generating a transition using the original voice. help.descript.com

If stutters are your main problem

I'd particularly consider Cleanvoice. It's designed specifically around automated podcast/audio cleanup, including filler words, stutters, repetitions, and awkward pauses. A recent 2026 comparison also identifies it as the specialist option for filler/stutter removal. techtippr.com

My recommendation

For a natural human sound, I'd use:

Descript → remove filler words/stutters conservatively → listen through the cuts → Regenerate any awkward transitions → optionally run Adobe Podcast/Auphonic for final audio polish.

I wouldn't automatically remove every “um,” pause, or repetition. Leaving some conversational hesitations in often makes the speaker sound more human, rather than like an AI-edited voice.

One caveat: Descript has had some user-reported issues with word-timing/alignment in 2026, which can occasionally cause overly aggressive cuts, so previewing the automated edits is worthwhile. www.reddit.com

If you tell me whether this is for YouTube/video, podcast, Zoom/interview, audiobook, or a professional voice recording, I can recommend the best one specifically for that use case.

Yes. If your priority is removing “um,” “uh,” repeated words, false starts, and stutters while preserving a natural rhythm, these are the strongest options:

1. Descript — best overall
   • Automatically detects filler words and lets you remove them from the transcript/audio.
   • Has Remove Retakes for repeated takes and false starts.
   • Its Avoid harsh cuts option skips edits likely to sound unnatural. help.descript.comhelp.descript.compodcast.adobe.com
   • Regenerate can smooth an awkward edit by generating a transition in the original voice, which is particularly useful when a stutter removal leaves an audible jump. help.descript.comhelp.descript.com
   • My pick if you're editing podcasts, interviews, YouTube videos, presentations, or talking-head recordings.

2. WordCut — best free/simple option
   • Edit the recording through its transcript.
   • Automatically removes filler words, pauses, and dead air.
   • Runs in the browser, with editing/export performed locally; it also offers on-device transcription. wordcut.video
   • Less sophisticated than Descript for repairing awkward cuts, but very convenient.

3. Adobe Podcast — best for making the remaining speech sound polished
   • Its Enhance Speech tool removes noise/reverb and improves voice clarity. podcast.adobe.com
   • However, I wouldn't choose it as the primary tool specifically for stutter/filler removal; pair it with an editor such as Descript.

What I'd use

For the most natural-sounding result, I'd do:

Descript → Remove filler words → Remove Retakes → lightly shorten pauses → use Regenerate only on cuts that sound abrupt → optional Adobe Enhance Speech.

The important distinction is that simply deleting every “um” and every pause can make someone sound unnaturally fast. Descript's current tools specifically provide controls for avoiding harsh cuts and smoothing them afterward. help.descript.comhelp.descript.com

If you tell me whether you're editing podcast audio, a video, an interview, a presentation, or a voice recording, I can recommend the best tool and workflow for that particular type of speech.

Yes. If your priority is “remove ums, ahs, repeated words, and stutters, but make the result sound like a person naturally said it”, I’d shortlist these:

1. Descript — best overall
   • Automatically detects filler words such as “um,” “uh,” and “you know.”
   • Has “Avoid harsh cuts”, which analyzes the surrounding audio and skips edits that would sound unnatural. help.descript.com
   • Can also detect retakes/false starts and shorten awkward word gaps. help.descript.comhelp.descript.com
   • It specifically offers AI stutter removal, too. www.descript.com
   • My pick if naturalness is the main concern.

2. Riverside — excellent for interviews/podcasts
   • One-click removal of filler words and pauses.
   • Its Smart removal mode combines cuts and mutes specifically to preserve natural conversational flow. support.riverside.com
   • You can adjust how aggressively pauses are removed. support.riverside.com
   • Particularly convenient if you're already recording podcasts, interviews, or video conversations in Riverside.

3. Adobe Premiere Pro — best if you're already a video editor
   • Text-Based Editing can detect filler words and bulk-delete awkward pauses. www.adobe.com
   • More powerful overall, but less “push one button and let AI clean the speech” than Descript.

What I'd choose

One important distinction: removing filler words is relatively easy; removing genuine stutters/repeated syllables without making the speaker sound unnaturally edited is harder. Descript is particularly interesting here because its workflow can detect false starts and has safeguards against harsh cuts. help.descript.comhelp.descript.com

If you tell me whether this is audio-only, talking-head video, podcast/interview, or voiceover, I can recommend the best tool and settings for the most natural result.

If you want AI that removes “um,” “uh,” stutters, repeated words, and awkward pauses while keeping the speaker sounding human, these are some of the strongest options:

My top choices by use case

Best overall: Descript

• Converts speech to text, then you edit the transcript like a document.
• Can automatically remove filler words such as “um,” “uh,” and “you know,” and includes options to avoid harsh cuts. help.descript.com
• Good balance between automation and human control.

Best for heavy stuttering/filler cleanup: Cleanvoice AI

• Designed specifically around removing verbal tics, filler words, repeated phrases, and awkward pauses.
• A good choice for long podcasts or interviews where manual editing would take hours.

Best “make my voice recording sound professional”: Adobe Podcast

• Its Enhance Speech tool focuses on clarity, background noise, echo, and making speech sound more polished. podcast.adobe.com
• Pair it with a filler-word remover if you also need “ums” and stutters removed.

For the most natural result

A common professional workflow is:

1. Clean the speech: Descript or Cleanvoice
2. Enhance the voice quality: Adobe Podcast or Auphonic
3. Manually review important edits: AI can sometimes remove intentional pauses, emphasis, or personality

For a podcast/interview, I’d start with Descript.
For a speech, lecture, audiobook, or voiceover where natural delivery matters, I’d lean toward Cleanvoice + a light touch of enhancement.