What is the best clean up auto captions?

The best cleanup shows every edit it makes. This free tool strips filler words (um, uh, and 11 more) as standalone tokens, sentence-cases all-lowercase lines, normalizes punctuation spacing, re-wraps long lines at your chosen width, and logs each change with before/after — so you can audit everything before publishing.

Is there a free clean up auto captions?

Yes — this caption cleanup tool is completely free with no signup. Paste plain text, SRT, or VTT to get cleaned captions, a full change log, and the filler-word removal count instantly.

How to use clean up auto?

Paste your caption text (SRT/VTT timestamps are stripped automatically), toggle fix capitalization, fix punctuation, and remove fillers, then set max characters per line (10-80). Run it to get the cleaned text plus a change log — check the log for proper nouns, since sentence-casing lowercases them.

How does a clean up auto captions work?

It applies fixed string rules, not AI: filler removal from a 13-word bank, sentence-casing, punctuation normalization, and greedy word-wrapping with hard-breaks for overlong words. ALL-CAPS lines are preserved as intentional shouting, and non-Latin lines are left untouched. Every transformation is logged with before and after.

What is a clean up auto captions?

A clean up auto captions is a free online tool that gives you quick, accurate results without spreadsheets or manual math. This version runs entirely in your browser for instant, private results.

How do I use this clean up auto captions tool?

Enter your details in the fields above and get instant results. Everything runs in your browser — no signup, no waiting, no data uploaded.

Is this clean up auto captions tool really free?

Yes, completely free with no account required. Use it as many times as you want — there are no usage limits or hidden paywalls.

Clean Up Auto Captions

What is Clean up auto captions?

Auto-Caption Cleanup Tool — Fix messy auto captions fast: strip filler words, fix caps and punctuation, and re-wrap lines from text, SRT, or VTT with a change log. Try it now!

Pure regex and string rules, never AI: SRT/VTT cues are parsed down to text lines; a fixed 13-word filler bank (um, uh, umm, uhh, uhm, hmm, hm, erm, er, ah, mmm, mm, ahem) is removed as standalone tokens only; all-lowercase lines get sentence-casing while ALL-CAPS shouting lines are preserved intentionally; punctuation spacing is normalized, repeats collapsed, and a terminal period added to the final line; long lines are greedily word-wrapped at your max (overlong words hard-break with a logged entry). Non-Latin-majority lines are left untouched, and the change log is capped at 200 entries.

Why use this clean up auto captions?

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Built for clean up auto captions

Fix messy auto captions fast: strip filler words, fix caps and punctuation, and re-wrap lines from text, SRT, or VTT with a change log. Try it now!

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Transparent & honest

Rule-based cleanup only — it cannot understand context, sarcasm, or domain terms; always review the change log.

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Private by design

Everything runs in your browser. Your inputs never leave your device.

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Works everywhere

Fully responsive — perfect on desktop, tablet, and mobile. No app needed.

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Regularly updated

Regularly maintained and reviewed to ensure accuracy.

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Free forever

No accounts, no limits, no watermarks. Use Auto-Caption Cleanup Tool as much as you need.

How to use Auto-Caption Cleanup Tool

1Paste your raw caption text — plain text, SRT, or VTT all work (timestamps and cue tags are stripped automatically).
2Toggle the fixes you want: fix capitalization, fix punctuation, and remove filler words like um and uh.
3Set max characters per line (10-80, default 42) to re-wrap long caption lines.
4Run the cleanup to get the cleaned text, a line-by-line change log, and the filler-word removal count.
5Review the change log before publishing — sentence-casing lowercases proper nouns, so restore names where needed.

What can you do with Auto-Caption Cleanup Tool?

Capcut auto caption cleanup — Fix messy auto captions fast: strip filler words, fix caps and punctuation, and re-wrap lines from text, SRT, or VTT with a change log.
Fix auto generated captions — Fix messy auto captions fast: strip filler words, fix caps and punctuation, and re-wrap lines from text, SRT, or VTT with a change log.
Remove umms from captions — Fix messy auto captions fast: strip filler words, fix caps and punctuation, and re-wrap lines from text, SRT, or VTT with a change log.

Good to know

Rule-based cleanup only — it cannot understand context, sarcasm, or domain terms; always review the change log.
Sentence-casing lowercases proper nouns (names, brands) — restore them after cleanup.
Filler removal targets standalone tokens only; fillers inside other words or in parentheses are kept.
Non-Latin-majority lines are left completely untouched by every rule.
The change log is capped at 200 entries; transformations still apply beyond the cap.

How it works

Pure regex and string rules, never AI: SRT/VTT cues are parsed down to text lines; a fixed 13-word filler bank (um, uh, umm, uhh, uhm, hmm, hm, erm, er, ah, mmm, mm, ahem) is removed as standalone tokens only; all-lowercase lines get sentence-casing while ALL-CAPS shouting lines are preserved intentionally; punctuation spacing is normalized, repeats collapsed, and a terminal period added to the final line; long lines are greedily word-wrapped at your max (overlong words hard-break with a logged entry). Non-Latin-majority lines are left untouched, and the change log is capped at 200 entries.

Examples

Messy auto-captions

Returns "Hello world, this is a test." with 2 fillers removed and every fix logged.

SRT paste

Strips the index and timestamp, removes "um", and sentence-cases the cue.

People also search for these — this tool handles them all:

clean up auto captionscapcut auto caption cleanupfix auto generated captionsremove umms from captions

Frequently asked questions

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