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Subtitle to Plain Text Transcript Stripper

The problem: Converting subtitle files into blog posts requires manually deleting hundreds of line numbers and timestamp cues.

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100% In-Browser Execution. Zero server uploads. Your data never leaves this tab — disconnect your internet and the tool keeps working.

Subtitle to Plain Text Transcript Stripper: the complete guide

The Subtitle to Plain Text Transcript Stripper removes SubRip (.srt) and WebVTT (.vtt) timecodes, line numbers, and HTML tags to extract clean, continuous readable prose. Repurpose video and podcast subtitles into SEO blog posts, newsletter articles, and book chapters in 1 click.

Repurposing Video Captions into High-Value SEO Content

Video captions are rich in keyword density and spoken insights. However, raw `.srt` files contain thousands of line numbers and millisecond timecodes (`00:01:23,456 --> 00:01:27,890`) that ruin readability. Stripping these technical markers converts raw transcripts into clean, publishable editorial prose.

Handling Duplicate Rolling Captions and HTML Tags

Automated transcription tools often generate rolling captions with repeated adjacent lines, along with italic (`<i>`) and bold (`<b>`) formatting tags. Our stripper cleans these duplicate lines automatically while normalizing paragraph spacing for immediate reading.

Step by step: how to use Subtitle Stripper

  1. 1

    Paste your raw SRT or VTT subtitle text into the input editor or load the sample.

  2. 2

    Toggle options: Join into Continuous Paragraphs, Deduplicate Rolling Lines, and Strip HTML Tags.

  3. 3

    Review the Extracted Words and Timestamps Stripped KPI cards.

  4. 4

    Inspect the clean transcript in the right-hand panel.

  5. 5

    Copy the text to your clipboard or download the clean `.txt` document.

Security & privacy

Your private interview transcripts, unpublished podcast audio logs, and video scripts are parsed purely in-browser.

Frequently asked questions