Transcript Timestamp Remover
Turn a timestamped transcript into clean, readable text. Works with YouTube transcripts, SRT and VTT subtitle files, Zoom and Teams exports, and podcast transcripts.
Everything runs in your browser. Your text is never uploaded or stored.
What it removes
- Subtitle cue lines. SRT sequence numbers, WEBVTT headers, and timing lines such as
00:00:04,190 → 00:00:08,600. - Bracketed times. Inline stamps like
[00:12]or(1:02:33)that YouTube and many transcription apps insert. - Leading times. Timestamps at the start of each line, common in Zoom and Teams transcript exports.
- Speaker labels. Optionally strip names like
Alex:orSpeaker 2:when you only need the spoken words.
From caption fragments to paragraphs
Subtitles chop sentences into short fragments so they fit on screen. With the paragraph option on, the tool joins those fragments back into flowing paragraphs, which is what you want for quoting, summarizing, translating, or feeding the text to an AI model without wasting tokens on timestamps.
Where the text comes from
Copy a YouTube transcript from the video page, export an SRT or VTT file and paste its contents, or paste a meeting transcript from Zoom, Teams, or Google Meet. The cleaning runs in your browser, so private meeting content stays on your device.
Frequently asked questions
How do I get the transcript of a YouTube video?
Under the video, open the description and choose Show transcript. Select and copy the transcript panel text, then paste it here. Both the with-timestamps and without-timestamps views work.
Does it handle SRT and VTT files?
Yes. Open the subtitle file in any text editor, copy everything, and paste it. Sequence numbers, timing lines, and headers are removed automatically.
Can I keep speaker names but drop the times?
Yes. Leave the speaker labels option unchecked and only timestamps are removed.
Why merge lines into paragraphs?
Caption lines break mid-sentence by design. Merging restores natural paragraphs, which reads better and uses far fewer tokens if you pass the text to an AI afterwards.
Is the transcript uploaded?
No. All processing happens locally in your browser, which matters for confidential meeting recordings.
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