Tidy spoken-word text

Transcript Cleaner

Paste a rough transcript and choose which mechanical cleanup rules to apply. Compare the editable result before copying it into your next draft.

Private by default

Processing stays in your browser. Your text is not sent anywhere by this tool.

Loading the local processor…

Accepted input

Pasted text, TXT, SRT, WebVTT

Available output

Clean plain text, Copied text, TXT

Three clear moves

How to use Transcript Cleaner

  1. 01

    Paste the transcript

    Add raw spoken-word text or load a supported text caption file.

  2. 02

    Choose cleanup rules

    Select timestamps, cue numbers, spacing, or filler patterns to remove.

  3. 03

    Review and copy

    Edit any edge cases, then copy or download the cleaned text.

Good fits

When this tool is useful

  • Remove caption timecodes before drafting an article.
  • Normalize messy spacing in an interview transcript.
  • Create a readable reference copy from subtitle text.

Know before processing

Browser and format limits

  • The tool applies text rules and does not judge the meaning of a sentence.
  • Optional filler removal can affect intentional dialogue or quotations.
  • Speaker identification and grammar rewriting are not performed.

Better output

Practical tips

01

Run basic timestamp cleanup before optional filler removal.

02

Read quotations and names after applying broad text rules.

03

Keep the original transcript beside the cleaned version for reference.

Straight answers

Transcript Cleaner questions

Does this tool transcribe audio or video?

No. It cleans transcript text you already have, including pasted text and supported subtitle files.

Can it remove filler words?

Yes, as an optional text rule. Review the result because the same words can be intentional in some sentences.

Will it rewrite grammar or meaning?

No. The cleaner focuses on structural clutter such as timestamps, cue numbers, and repeated whitespace.

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