SRT to Plain Text — Extract Transcript from Subtitle Files

Strip timing codes and cue numbers from SRT or VTT files to get clean plain text. Perfect for repurposing subtitles as blog posts, show notes, or transcripts.

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Include timestamps in output

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What does SRT to text extraction actually do?

An SRT or VTT file contains three types of lines: (1) cue index numbers (1, 2, 3…), (2) timestamp lines (00:00:01,000 --> 00:00:04,000), and (3) the subtitle text itself. This tool removes the first two types and returns only the text — essentially giving you the spoken transcript of the video. HTML formatting tags like , , and are also stripped from the output.

Practical uses for extracted subtitle text

Extracted subtitle text has many content repurposing uses:

Blog posts and articles — video transcripts converted to written content with light editing
Show notes and summaries — podcast episodes or webinar recordings summarized from their transcripts
Social media captions — pulling key quotes from long-form video content
Translation input — sending text to a translation service without subtitle formatting overhead
Search indexing — extracting video content for full-text search databases

SRT text vs AI transcript — what's the difference?

SRT-extracted text is exactly what the subtitles say — no more, no less. It has no speaker labels, no paragraph structure, and no summaries. An AI-generated transcript (like VideoText's Video to Transcript tool) adds speaker diarization, automatic paragraphs, chapter markers, and a summary. If you already have an SRT file, this tool is the fastest way to get the text. If you are starting from a video file, AI transcription produces richer output.

What does this tool remove from an SRT file?▼

It removes cue index numbers (1, 2, 3…), all timestamp lines, blank separator lines, and HTML tags like , , , . Only the spoken text remains.

Can I use the extracted text as a blog post?▼

Yes. Many creators convert video transcripts to blog posts. The text will need light editing for grammar, paragraph breaks, and context — but it's a fast way to repurpose video content as written articles.

Will the line order be preserved?▼

Yes. Cues are output in their original order, so the reading flow of the extracted text matches the video.

What is the difference between an SRT transcript and a video transcript?▼

SRT files contain the same spoken words broken into subtitle cues. When extracted, the text is essentially a raw transcript without speaker labels. AI-generated transcripts (from VideoText) add speakers, paragraphs, chapters, and summaries.

Does the "include timestamps" option work with VTT files?▼

Yes. Timestamps are extracted from whichever format you upload (SRT or VTT) and formatted as [HH:MM:SS,mmm] in the output.

How accurate is the extracted text?▼

The extraction is 100% accurate — every character in the subtitle text is preserved exactly. The underlying accuracy of the subtitles themselves depends on how they were generated (manual vs auto).

Can I use the text for AI summarization?▼

Yes. Paste the extracted text into ChatGPT, Claude, or another AI tool to generate summaries, key takeaways, or social media posts from your video content.

Is there a word limit for the extraction?▼

No. The extraction runs in your browser with no server limits. Feature-length film subtitle files with thousands of cues process in under a second.