Subtitle To Text
Drop in an SRT, VTT, ASS, or SBV subtitle file — or paste its contents — and instantly get a clean transcript with every timestamp, sequence number, and tag stripped out. Everything runs in your browser, so your file never leaves your device. No upload, no sign-up.
What is the Subtitle To Text converter?
Subtitle to text is a free, in-browser tool that turns a caption file into a
clean reading transcript. You drop in an .srt, .vtt,
.ass, or .sbv file — or paste its contents — and the
tool gives you back just the spoken words, with every timestamp, sequence
number, and tag stripped out. No more
00:00:01,000 --> 00:00:04,000 lines, no numbered cues, no
<i> formatting noise: only the text someone actually said.
Because everything runs locally, your subtitle file never leaves the browser.
How to use it
- Add your subtitles. Drag a caption file onto the drop zone, click to browse for one, or paste the raw subtitle text straight into the box.
- Pick your output options. Choose whether to keep the original line breaks or merge the cues into flowing paragraphs, and toggle on extras like strip speaker labels, remove formatting tags, and remove duplicate lines if you need them.
- Read or copy the result. The clean transcript appears instantly in the output panel. Hit Copy to grab it for a document, an email, or an AI prompt, or Download it as a
.txtfile.
That is the whole flow — paste, tweak, copy, and you are done. Nothing to install and nothing to sign up for.
The method behind it
Subtitle formats look different but share the same shape: blocks of text wrapped in timing and numbering metadata. The converter parses each format and keeps only the dialogue:
- SRT files are split into blocks; the tool drops the leading sequence number and the
-->timecode line from every block, keeping the remaining text. - VTT (WebVTT) files have the
WEBVTTheader, optional cue identifiers, and cue-setting timecodes removed. Auto-captioned VTT often repeats lines across overlapping cues, which is why a remove duplicate lines option is offered. - ASS / SSA files are read line by line; only
Dialogue:events are kept, the leading style fields are dropped, and override codes such as{\an8}are removed. - SBV (YouTube) files alternate a
H:MM:SS.mmm,H:MM:SS.mmmtiming line with a caption line; the timing lines are discarded.
After the dialogue is isolated, optional passes remove inline tags
(<i>, <b>, <font>,
{...}), drop speaker labels like NARRATOR:
when that toggle is on, and either preserve the line breaks or merge wrapped
lines into readable paragraphs. Nothing is sent anywhere — the parsing
happens in JavaScript on your machine.
Example
A short SRT snippet like this:
1
00:00:01,000 --> 00:00:03,500
<i>Welcome back to the show.</i>
2
00:00:03,500 --> 00:00:06,200
Today we're talking about
how subtitles actually work. …becomes this clean transcript (with merge into paragraphs on):
Welcome back to the show. Today we're talking about how subtitles actually work.
The sequence numbers, the timecodes, and the <i> tags are
gone, and the two wrapped caption lines in cue 2 are joined into one natural
sentence.
Common use cases
- Make a readable transcript. Turn the captions from an interview, lecture, or webinar into a document you can quote, edit, or archive.
- Feed a video to an AI. Strip a long video's captions into plain text and paste it into an LLM to summarize, outline, or answer questions about the content.
- Repurpose video into written content. Convert a YouTube VTT into clean copy you can rework into a blog post, show notes, or SEO article.
- Search and proofread dialogue. A flat text file is far easier to Ctrl-F, spell-check, or translate than a timestamped caption file.
- Clean up auto-generated captions. Remove the duplicate, overlapping lines that automatic captioning leaves behind.
Why use this one
Most subtitle strippers only handle SRT, push your file to a server, or bury
the tool under ads. This one parses .srt, .vtt,
.ass/.ssa, and .sbv from a single box,
runs entirely in your browser so the file never leaves your device, and gives
you real output control — keep line breaks or merge to paragraphs, drop
speaker labels and tags, and remove duplicate lines — without an account or a
wait.
It belongs to a small, focused text toolkit. Once you have the transcript, the Remove Line Breaks tool can flatten it further, the Word Counter gives you the word, character, and reading-time totals, and the Text Formatter tidies spacing and case before you paste it anywhere — all private and client-side.
Frequently asked questions
Which subtitle formats can I convert to text?
The tool reads the four most common caption formats: SubRip (.srt), WebVTT (.vtt), Advanced SubStation Alpha (.ass and .ssa), and YouTube SBV (.sbv). It detects the format automatically from the file content, so you can paste or drop any of them into the same box without picking a mode first.
Is my subtitle file uploaded to a server?
No. The file is read and parsed locally in your browser with JavaScript. Nothing is uploaded, stored, or shared, which makes it safe for unreleased scripts, private interviews, and confidential footage. You can even disconnect from the internet after the page loads and it still works.
What exactly gets removed from the subtitle file?
By default the tool strips sequence numbers, timecode lines (such as 00:00:01,000 --> 00:00:04,000), WebVTT cue settings and the WEBVTT header, ASS style and dialogue formatting fields, and inline tags like <i>, <b>, and {\an8}. What is left is just the spoken text. Optional toggles also remove speaker labels (for example 'NARRATOR:') and collapse repeated lines.
Can I merge the captions into paragraphs instead of one line per cue?
Yes. Keep the original line breaks for a cue-by-cue transcript, or switch on 'merge into paragraphs' to join the broken caption lines into flowing sentences and paragraphs — handy when you want to read it as an article or paste it into a document or an LLM prompt.
Why do auto-generated subtitles have so many duplicate lines?
Automatic captions (especially YouTube VTT) repeat each line across overlapping cues so words stay on screen while new ones roll in. That produces lots of consecutive duplicates in the raw text. Turn on 'remove duplicate lines' and the tool keeps only the first occurrence of each repeated line, giving you a clean, readable transcript.