ChatGPT answers, unedited

Yes. There are several tools that can detect filler words (like “um,” “uh,” “like,” “you know”) in transcripts and either remove them automatically or suggest subtitle/caption edits. The best choice depends on whether you’re editing video, podcasts, meetings, or just cleaning text transcripts.

Video editing + subtitles

• Descript — One of the strongest options for this workflow. It creates a transcript from audio/video, highlights filler words, and can remove them (including from the actual audio) while keeping captions aligned.
• Adobe Premiere Pro — Has text-based editing and transcription features; you can edit via transcript and create captions, though filler-word removal is less automatic than Descript.
• CapCut — Offers auto captions and some AI cleanup features; useful for social video workflows.

Transcript cleanup / AI editing

• Otter.ai — Good for meetings and interviews; transcripts can be cleaned up, though it is more transcription-focused than video-caption-focused.
• Notta — Provides transcription cleanup and summaries.
• Grammarly or similar AI writing tools can help rewrite transcripts, but they usually won’t directly modify subtitle timing.

Dedicated caption tools

• VEED — Auto captions plus editing tools; useful for creators who want quick subtitle cleanup.
• Kapwing — Provides transcript-based editing and caption generation.

For a workflow like:

Upload video → detect “um/uh/like” → suggest removals → approve changes → export clean subtitles

I’d start with Descript. It is specifically designed around editing media by editing the transcript, so filler-word detection and subtitle synchronization are central to the experience.

If you’re building this as a product/API rather than looking for an app, the architecture is usually:

1. Speech-to-text model → transcript with timestamps
2. Filler-word classifier/detector → flagged segments
3. LLM rewrite pass → cleaner subtitle suggestions
4. Caption renderer → SRT/VTT export

Tools like OpenAI Speech-to-Text API can be part of that pipeline.

Yes. There are several tools that do exactly this, depending on whether you want to clean the transcript only, remove the filler from the actual audio/video, or suggest better subtitle wording.

Best options

• descript.com — probably the closest match. It automatically detects fillers such as “um,” “uh,” “you know,” “like,” etc. and lets you:

• remove them from the audio/video
• remove them from the transcript only
• ignore individual detections
• replace them with a gap
• review the detected fillers before applying changes. Descript Help Center Descript

It can also automatically generate captions from the transcript. Descript

• capcut.com — useful if your primary goal is video + subtitles. Its auto-caption workflow can identify common fillers such as “um,” “uh,” “like,” and “you know,” so you can review them before editing. CapCut CapCut
• heyeddie.ai — interesting if you want more of an AI editor than a simple filler detector. You can tell it things like “remove filler words but keep natural pauses,” and it can clean up false starts and pauses while preserving the underlying speech. Eddie
• getrescript.com — a good option if privacy/offline processing matters. It detects fillers locally and can cut them from video/audio, with edits remaining reversible. Rescript

If what you mean is more specific…

If you're looking for a tool that takes something like:

“So, um, today we're going to, you know, talk about three things…”

and produces subtitle-ready suggestions like:

Today we're going to talk about three things.

without necessarily altering the original video, that's a slightly different category. Descript is probably the closest, but I can also look specifically for tools that detect fillers + intelligently rewrite the subtitle while leaving the spoken audio untouched.

Yes. There are several tools that do exactly this, depending on whether you want to remove the filler from the actual video/audio or merely clean up the subtitles while keeping the spoken audio intact.

Best options

1. Descript — probably the closest match

• Automatically detects fillers such as “um,” “uh,” “you know,” “like,” “I mean,” etc.
• Gives you a list of detected fillers so you can review them.
• You can delete the filler from audio + transcript, leave a gap, ignore it, or remove it from the transcript only while keeping the audio. help.descript.com
• Exports SRT/VTT subtitles, so it's useful for subtitle workflows. www.descript.com
• It also has AI tools for broader transcript cleanup, not just individual fillers. help.descript.com

Try Descript

2. Adobe Premiere Pro — great if you're already editing video

• Generates a transcript and captions.
• Text-Based Editing can detect filler words and let you remove them directly from the sequence.
• You can bulk-remove fillers and pauses. www.adobe.com

Adobe Premiere Pro

If your goal is specifically “make my subtitles cleaner without changing what the person actually said”

That's an important distinction. For example:

Audio: “So, um, I think we should, like, go tomorrow.”
Subtitle: “I think we should go tomorrow.”

You want a tool that hides/removes the filler from the captions but doesn't cut the audio/video.

Descript can remove a filler from the transcript while leaving the audio unchanged, which gets close to this workflow. help.descript.com

If you're looking for something that goes one step further—detect fillers, decide which ones should be kept based on context, and suggest a polished subtitle version rather than blindly deleting “um/uh/like”—I can also find the best tools specifically for that workflow.

Yes. There are several tools that can detect filler words in transcripts and either remove them automatically or suggest cleaner subtitle text.

A few good options:

• Descript — probably the closest match. It detects filler words such as “um,” “uh,” “you know,” and repeated words, and can remove them from the transcript/audio/video. Its transcript-based editing also makes it useful for generating cleaner captions.
• Adobe Premiere Pro — has AI-powered Text-Based Editing and filler-word detection/removal. Good if you're already editing video in Premiere.
• CapCut — offers filler-word removal and transcript/caption editing, particularly convenient for short-form video.
• OpusClip — automatically creates captions and can clean up spoken content while turning long videos into clips.
• Riverside — transcript-based editing with tools for removing filler words and producing captions/subtitles.
• VEED — browser-based transcription/captioning with text editing and cleanup features.

If your goal is specifically “take a raw transcript → identify filler words → suggest whether to remove them → produce polished subtitles without changing the speaker's meaning,” I’d lean toward Descript or Riverside.

If you tell me whether you're looking for (1) a video editor, (2) an API you can integrate into your own app, or (3) a free tool, I can narrow it down to the best options and compare their filler-word detection capabilities.

Yes. There are several tools that can detect filler words (like “um,” “uh,” “you know,” “like,” repeated phrases), clean transcripts, and sometimes suggest better subtitles/captions.

A few options:

For a workflow specifically like:

video/audio → transcript → highlight filler words → suggest cuts → generate polished subtitles

the closest matches are usually:

1. Descript — probably the most direct “edit the transcript like a document” experience.
2. Riverside — good if the source is interviews/podcasts.
3. CapCut — good if the final output is TikTok/Reels/Shorts with styled captions.

If you’re building your own tool, the typical pipeline would be:

• Speech-to-text (e.g., Whisper-based transcription)
• Filler-word detection (rule-based + NLP model)
• Confidence scoring (“remove,” “optional,” “keep for emphasis”)
• Subtitle regeneration with timing preservation
• Human review before export

For subtitle suggestions, a useful feature is not just deleting fillers, but classifying them:

• Remove: “um,” “uh,” “erm”
• Usually remove: “like” when used as a filler
• Keep: “you know” when it adds meaning or personality
• Rewrite suggestion: “I, uh, think we should…” → “I think we should…”

If you mean a tool for developers to integrate into an app/API, the answer is a bit different. I can outline that stack too.

Yes. There are several tools that do essentially this—detect filler words in a transcript, let you review them, and either remove them from the transcript/video or keep them.

Best options

• Descript — probably the closest match. It automatically detects fillers such as “um,” “uh,” and “you know,” and lets you delete, ignore, or replace them. Its AI “Edit for Clarity” can also clean up wordiness, retakes, and off-topic sections. help.descript.comhelp.descript.com

Descript

• Adobe Premiere Pro — its Text-Based Editing can identify filler words and pauses directly in the transcript, with options to delete individual instances or bulk-delete them. The resulting edits are applied to the video. helpx.adobe.comwww.techsmith.comhelp.descript.com

Adobe Premiere Pro

• CapCut — particularly useful if your goal is video + subtitles. Its auto-caption workflow can identify filler words such as “um,” “uh,” “like,” and “you know,” highlight them, and let you remove or adjust them. www.capcut.com

CapCut

• WordCut — a simpler browser-based option. It generates a timestamped transcript and lets you remove filler words, pauses, or sentences by editing the text. It claims to run the video locally in the browser. wordcut.video

• Camtasia/Audiate — transcribes the recording and allows filler words, pauses, or entire sections to be deleted through the transcript, with the corresponding video cuts happening automatically. www.techsmith.com

If by “subtitle suggestions” you mean something slightly different…

If you're looking for a tool that doesn't just remove “um/uh,” but actually suggests better subtitle wording, e.g.:

Original: “So, um, today we're gonna, like, talk about three things…”
Suggested subtitle: “Today, we're going to talk about three things.”

That's more of an AI transcript/subtitle editing workflow. Descript's Edit for Clarity is particularly close because it can clean up wordiness and reword small sections, rather than simply deleting detected fillers. help.descript.com

If you tell me whether you're working with YouTube videos, podcasts, interviews, TikToks/Reels, or just raw transcript text, I can narrow this down to the best 2–3 tools (including free options).

Yes. There are several tools that do exactly this, especially for video/podcast transcripts:

• Descript — probably the closest match. It automatically detects fillers such as “um,” “uh,” “you know,” “like,” etc. You can review each occurrence and choose to:
  • delete the word and audio
  • remove it while leaving a gap
  • remove it from the transcript only
  • ignore it

It also has an Edit for Clarity feature that can automatically clean up filler, wordiness, retakes, and unnecessary chatter. help.descript.comwww.descript.com

• Adobe Premiere Pro — its text-based editing can identify filler words in the transcript and lets you delete them individually or in bulk. You can also choose whether the edit closes the resulting gap or leaves it. community.adobe.com

• OpusClip — geared more toward short-form video. Its AI filler-word remover detects things like “um,” “uh,” “like,” and “you know” and removes them from the audio/video. www.opus.pro

If your main goal is subtitles specifically

There's an important distinction:

A. Remove filler from the actual video/audio
→ Descript or Premiere are excellent.

B. Keep the person saying “um,” but make the subtitles clean
→ This is a little less common. Descript currently supports removing a filler from the transcript without changing the audio, which is useful for producing cleaner captions. help.descript.com

C. Have AI suggest a better subtitle/phrase rather than simply deleting the filler
For example:

“So, um, what we basically want to do is, you know, increase sales.”

→ “We want to increase sales.”

That's closer to an AI transcript cleanup / subtitle rewriting tool than a traditional filler-word remover. Descript's Edit for Clarity is particularly relevant here because it goes beyond just detecting “um” and “uh.” help.descript.comwww.descript.com

If you're thinking about building a tool like this, I can also break down what the ideal workflow/API would look like (transcript → filler detection → suggested replacement → subtitle-only vs audio removal).

Yes. There are several tools that do exactly this, especially for video/podcast transcripts:

Best fit: Descript

Descript is probably the closest to what you're describing. It automatically detects words such as “um,” “uh,” “you know,” “like,” etc., then lets you choose what to do with each occurrence. Importantly, it can remove the filler from the transcript while leaving the audio unchanged, or remove it from both the transcript and audio. help.descript.com

So you could have:

“So, um, today we're going to, like, talk about three things.”

And turn the subtitle text into:

“So today we're going to talk about three things.”

while keeping the original audio intact.

If you're already editing video: Premiere Pro

Adobe Premiere Pro has Text-Based Editing with a Filler Words filter. You can detect fillers in the transcript and bulk-delete them, along with pauses or other unwanted text. helpx.adobe.com

For fast social-video workflows: OpusClip

OpusClip can automatically detect and remove filler words and pauses, while also generating/editing captions. help.opus.pro

One distinction I'd pay attention to: if what you really want is “detect filler → suggest a cleaner subtitle phrase → let me approve/reject the suggestion → don't necessarily change the audio,” that's a slightly different product than a normal filler-word remover. Descript gets closest, but I can also look for dedicated transcript/subtitle tools that specifically make AI rewriting suggestions rather than simply deleting “um/uh.”

Yes. There are several tools that do exactly this—detect filler words in a transcript and either remove them from the video/audio or clean them out of the subtitles/transcript only.

Best options

• Descript — probably the closest match. It automatically detects words like “um,” “uh,” “you know,” “like,” etc. You can review each one and choose to:
  • delete the word and audio/video
  • remove it from the transcript only
  • ignore it
  • replace it with a gap

It also generates captions/subtitles that stay synchronized with edits. help.descript.com

• WordCut — a simpler/free browser option. It detects filler words and pauses and lets you edit the video by editing the transcript. It also keeps processing in the browser rather than uploading the video. wordcut.video

• Google Vids — its transcript editor highlights filler words and lets you remove individual fillers or all fillers/pauses from the media. support.google.com

• TimeBolt / UMCHECK — more geared toward serious video editing. It specifically focuses on highly accurate filler detection, including custom filler words, and frame-accurate captions. www.timebolt.io

If your goal is specifically clean subtitles without making the speaker sound edited

I'd choose Descript. The important distinction is that you can clean the transcript/captions while leaving the original audio intact. That avoids the unnatural jump-cut effect you can get from physically deleting every “um” and “uh.” help.descript.com

If by “subtitle suggestions” you mean an AI that looks at the transcript and suggests a more natural/concise subtitle version (rather than simply deleting filler words), I can also point you to tools that do that.

Yes. There are several tools that do this, depending on whether you want to remove fillers from the actual video/audio or just clean up the subtitles/transcript.

Best options

• Descript — probably the closest match. It automatically detects fillers such as “um,” “uh,” “you know,” etc., then lets you delete them, ignore them, or remove them from the transcript only while leaving the audio intact. help.descript.comwww.capcut.comwww.timebolt.io
  • Good for: podcasts, interviews, YouTube videos
  • Can edit video by editing the transcript
  • Has an “Edit for Clarity” tool that goes beyond fillers and identifies wordiness, retakes, and unnecessary sections. www.descript.com

• CapCut — has an AI filler-word detector integrated with auto captions. It can identify things like “um,” “uh,” “like,” and “you know,” and you can remove them. www.capcut.com
  • Good if you're already editing short-form/social videos
  • Particularly convenient for caption + video editing together

• WordCut — a lightweight, browser-based option. It generates a timestamped transcript and lets you remove filler words, pauses, and sentences by editing the text. It claims to keep video processing in the browser. wordcut.video

• TimeBolt / UMCHECK — more specialized toward aggressively finding fillers and bad takes in video. It uses audio/waveform information alongside transcription and provides frame-accurate cuts and captions. www.timebolt.io

If your specific goal is subtitle suggestions

There's an important distinction:

Audio edit: “Remove ‘um’ from the speaker's recording.”

Subtitle edit: “Keep the speaker saying ‘um,’ but don't display ‘um’ in the subtitles.”

Descript can do the second one by removing the word from the transcript while leaving the audio unchanged. help.descript.com

So if you're building a workflow where an editor uploads a transcript/video and wants the tool to say:

Detected: “Um, I think we should, like, probably go tomorrow.”

and suggest:

Subtitle: “I think we should probably go tomorrow.”

while giving the editor Accept / Reject controls, that's very doable.

If you're asking because you want to build a tool like this, I can also outline exactly how I'd design the filler-word detection + subtitle-suggestion pipeline.

Yes. There are several tools that can detect filler words (like “um,” “uh,” “you know,” “like,” repeated phrases) in transcripts and either remove them or suggest cleaner subtitles/captions.

Some popular options:

For the specific workflow “upload transcript → detect filler words → suggest subtitle improvements → optionally remove them”, Descript is probably the closest match. It treats the transcript as the editing interface, highlights filler words, and lets you apply removals while keeping the video/audio synchronized.

If you are building your own tool, the typical pipeline is:

1. Speech-to-text (e.g., Whisper-based transcription)
2. Filler detection model/rules:
   • lexical fillers: “um,” “uh,” “like,” “you know”
   • repetitions: “I I think”
   • false starts: “I was— I mean…”
   • long pauses
3. Subtitle optimization:
   • shorten captions to reading speed limits
   • split lines naturally
   • preserve speaker intent
4. Human approval before applying edits

For a developer building this, the hard parts are usually not detecting “um” and “uh,” but deciding when words like “like” are filler versus meaningful (“I like pizza”).

Yes. There are several tools that do exactly this, depending on whether you want to remove fillers from the audio/video, remove them only from subtitles, or suggest cleaner wording.

Best options

1. Descript — probably the closest match

• Automatically detects fillers such as “um,” “uh,” “you know,” etc.
• Lets you delete, ignore, replace, or remove them from the transcript only.
• Because the transcript is linked to the video/audio, deleting text can automatically edit the media too.
• Its Edit for Clarity feature goes beyond fillers and can identify wordiness, tangents, retakes, and other unnecessary speech. help.descript.com
• Importantly, Descript supports removing a filler from the transcript without removing the corresponding audio/video, which is useful if you want cleaner subtitles while preserving natural speech. www.descript.com

2. CapCut — good for social/video captions

• Auto-generates captions.
• Detects filler words such as “um,” “uh,” “like,” and “you know.”
• Lets you review and delete detected fillers while working with the captions/video. www.capcut.com

3. WordCut — interesting free option

• Turns speech into a timestamped transcript.
• Lets you remove filler words, pauses, and entire sentences by editing the transcript.
• Runs much of the processing in the browser and exports the edited video. wordcut.video

4. UMCHECK / TimeBolt — more specialized

• Specifically focuses on detecting fillers and bad takes.
• Uses audio/waveform information alongside transcription, rather than relying solely on the transcript.
• Particularly interesting for long interviews, podcasts, and talking-head videos. www.timebolt.io

If you're looking for something slightly different

If by “subtitle suggestions” you mean:

Transcript: “Um, I think, like, we should probably, you know, launch it next week.”

and you want the tool to suggest:

“I think we should launch it next week.”

rather than simply deleting “um,” “like,” and “you know,” then Descript's Edit for Clarity is closer to what you want. It can clean up wordiness and awkward sections rather than merely applying a fixed filler-word list. help.descript.com

If you're building a tool/product yourself, there's also a very doable workflow where an AI analyzes the transcript and returns something like KEEP / REMOVE / REPLACE / REPHRASE for every questionable phrase, while preserving the original timestamps.

Yes. There are several tools that do exactly this, especially if you're working with video/podcast transcripts.

Best fits

1. Descript — probably the closest match

• Automatically detects filler words like “um,” “uh,” “you know,” etc.
• Lets you delete the filler from both audio/video and transcript, or remove it from the transcript only while leaving audio intact. help.descript.com
• Its Edit for Clarity feature goes beyond individual fillers and can identify wordiness, tangents, retakes, and unnecessary chatter. www.descript.com
• It also has transcript-based video editing, so deleting text effectively edits the underlying media.

Descript's filler-word tool

2. Riverside

• Detects filler words automatically.
• You can choose Cut, Mute, or Smart removal, depending on whether you want the timeline shortened or preserved. www.descript.comsupport.riverside.comfeedback.descript.com
• Has captions/subtitles and transcript editing built into the same workflow. support.riverside.com
• Its Find Fluff feature can also identify unnecessary sections beyond simple “um/uh” fillers. support.riverside.com

If what you specifically mean is:

Upload transcript → automatically identify filler words → suggest cleaner subtitle wording → let me accept/reject each suggestion without necessarily changing the audio

That's a slightly more specific use case. Descript is close, but its native workflow is more focused on editing the underlying media. In fact, users have specifically requested a feature for removing fillers from captions while leaving the audio untouched. feedback.descript.com

If you're building a tool/product around this idea, though, I can also point you toward the APIs/models that would let you do filler detection + context-aware subtitle rewriting + optional removal automatically.

Yes. There are several tools that do exactly this, especially if you're working with video/podcast transcripts and subtitles.

Best options

1. Descript — probably the closest match

• Automatically detects filler words such as “um,” “uh,” “you know,” “like,” “I mean,” etc.
• You can review each detection and choose delete, ignore, replace with a gap, or remove from the transcript only. help.descript.com
• Importantly, it supports removing a filler word from the transcript without removing it from the underlying audio/video, which is useful when you want clean subtitles but natural speech. feedback.descript.com
• It also has Edit for Clarity, which goes beyond individual fillers and can identify wordiness, retakes, and unnecessary sections. help.descript.com

2. Adobe Premiere Pro

• Has text-based editing built around the transcript.
• Its Text-Based Editing includes filler-word detection and bulk removal workflows. community.adobe.com
• Better choice if you're already doing your video editing in Premiere.

If your goal is specifically clean subtitles without changing the spoken video

I'd lean toward Descript. Your workflow could be:

Video → transcription → detect fillers → remove fillers from transcript only → export clean captions/SRT

That avoids the common problem where deleting “um” from the audio creates a noticeable jump cut, while still giving viewers cleaner subtitles.

If you tell me what you're starting with (MP4, SRT, TXT transcript, Premiere project, etc.), I can also recommend the best tool/workflow for that specific setup.