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SRT to TXT Converter

Extract plain text from SRT subtitles. Strips timestamps, cue numbers and formatting tags.

Runs entirely in your browser — no data is uploaded or stored.

About SRT to TXT Converter

Sometimes you only want the words. The SRT to TXT Converter pulls the dialogue out of a timed SRT file and throws away everything else — cue numbers, timestamp lines, and inline formatting tags.

You choose the shape of the result: one line per cue (handy as a transcript), a single spaced paragraph, or double-spaced blocks. Multi-line cues keep their internal breaks by default. Paste your SRT, convert, and you have clean plain text ready to read, search, or feed into another tool.

Features

  • Strips timing: removes numbers and HH:MM:SS,mmm lines.
  • Tag cleanup: strips , , markup by default.
  • Join modes: line, paragraph or double-spaced blocks.
  • Multi-line safe: internal breaks preserved unless paragraph mode.
  • Copy/download: grab the .txt instantly.
  • Private: runs in your browser.

How to Use

  1. Paste your SRT (sample preloaded so you can test now).
  2. Pick a join mode and whether to strip formatting tags.
  3. Click Extract Text and copy or download the result.

Examples

Example 1 — Transcript. Turn captions into readable notes.

Example 2 — Study aid. Extract dialogue for language practice.

Example 3 — Search index. Build a searchable text of a video.

Benefits

  • Clean output: no timing clutter.
  • Flexible shape: match your use case.
  • Lossless wording: text preserved exactly.
  • Fast: one-click extraction.
  • Private: nothing uploaded.

Frequently Asked Questions

What does this tool remove?
It strips the cue numbers, the HH:MM:SS,mmm timing lines, and inline formatting tags like <i> and <font> so you are left with just the spoken text.
How are cues joined?
Choose one line per cue (default), a single spaced paragraph, or double-spaced blocks. The spaced paragraph is great for a flowing transcript.
Can I keep formatting tags?
Yes. Turn off "strip formatting tags" and the original markup stays in the text.
Why extract subtitle text?
For transcripts, study notes, search indexing, or feeding dialogue into another tool without timing noise.
Are multi-line cues preserved?
Yes. A cue with two lines keeps its internal break unless you choose the single-paragraph join mode.

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