Podcasters & video creators
Polish transcripts before publishing show notes or captions. Remove filler words for cleaner SEO text.
Remove common filler words like um, uh, and like from transcripts, speeches, and podcasts. Free and fully browser-based.
Fillers removed
8
Unique filler types
8
Words removed from your text
Your text (input)
BEFORECleaned text (output)
So, um, I think we should, like, start with the intro, you know? Basically, uh, the point is, kind of, clear, right?
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Three steps to clean any transcript or speech of common filler words.
Drop any transcript, speech, podcast, or presentation text with fillers like um, uh, and like.
Before and after panels show removed fillers with red strikethrough, plus a list of what was actually stripped.
Grab the cleaned transcript as clipboard text or a .txt file. Everything stays on your device.
Podcasters, students, and professionals use Scribia to polish transcripts and notes—fast, free, and private.
Clean um, uh, er, like, you know, basically, literally, kind of, sort of, and dozens more speech fillers in one pass.
After cleaning, review each filler that appeared in your text with counts — not a preset checklist of unused words.
Spot fillers marked in rose strikethrough next to the cleaned transcript so edits stay transparent.
No signup, watermark, or file upload. Cleaning happens in your browser — transcripts stay yours.
Polish transcripts before publishing show notes or captions. Remove filler words for cleaner SEO text.
Clean lecture notes and interview transcripts for clearer quotes and citations in papers.
Review your own speech transcripts to improve delivery, reduce filler words, and practice cleaner communication.
Need to edit video timelines and remove filler sections? Scribia’s timeline editor lets you cut, trim, and reorganize videos with transcript-aligned editing.
Answers about privacy, limits, and how this free free filler word remover works.
Common speech fillers such as um, uh, er, erm, like, you know, I mean, kind of, sort of, basically, literally, actually, well, so, right, okay, and similar hesitation phrases.
The tool lists every filler that appeared in your paste with a count, and marks those words with red strikethrough in the Before panel next to the cleaned After text.
Yes. Matching is case-insensitive with word boundaries, so standalone fillers are removed. Be careful with words like “like” or “so” that can also be real content words.
Yes. Scribia’s filler remover is completely free, with no signup, login, watermark, or upload to our servers.
No. Cleaning runs entirely in your browser. We do not store, log, or transmit your transcript.
This tool cleans text. Scribia can transcribe videos, summarize content, and edit timelines with word-level precision.