Convert TTML to TXT Online

How to Convert TTML to TXT Online

1. Upload Your TTML File: Drag and drop your .ttml (or .xml / .dfxp exported as TTML) into the dropzone, or click "Add Files" to browse. Batch upload is supported, so you can flatten an entire season of captions into transcripts in one pass. Everything runs in your browser session — the file never leaves your machine.
2. Confirm TXT as the Output: TXT is selected by default for this converter. The conversion strips every XML tag, region/style block, and timing attribute, leaving only the spoken-text content of each <p> cue joined into clean plain text.
3. Review the Preview (Optional): Use the preview pane to spot-check the extracted transcript before downloading — confirm speaker labels, line breaks between cues, and that non-dialogue cues (music notes, sound descriptions) survived or were stripped the way you wanted.
4. Convert and Download: Click "Convert", then download each .txt file individually or grab a ZIP of the batch. No sign-up, no email gate, no watermark.

Why Convert TTML to TXT?

TTML (Timed Text Markup Language) is the W3C's XML-based caption format — published as a Recommendation in November 2010, with TTML2 finalized in November 2018. It's the interchange standard the broadcast and streaming industries actually use: SMPTE, EBU, ATSC, DVB, HbbTV, and MPEG CMAF all build on it, and the IMSC 1.1 profile is what Netflix mandates for Japanese subtitle delivery. The trade-off is that TTML files are dense XML — useless if you just want the words. Converting to TXT throws away the markup and gives you a readable transcript. Common reasons people do this:

• Repurpose captions as a written transcript — Turn a TTML caption file pulled from YouTube Studio, Vimeo, or a broadcast workflow into a clean transcript you can paste into a blog post, show-notes page, or SEO article without hand-deleting <tt>, <div>, <p begin="...">, and styling attributes.
• Feed AI/LLM tools and search indexes — ChatGPT, Claude, NotebookLM, and most embeddings pipelines work much better on plain text than on XML. Stripping TTML to TXT before chunking removes thousands of tokens of xmlns, tts:, and begin=/end= noise per file.
• Translate or proofread without timing constraints — Editors and translators using Word, Google Docs, or DeepL want prose, not timed cues. After translation the text can be re-timed in a fresh TTML, SRT, or VTT.
• Generate captions for the deaf and hard of hearing handouts — Classrooms, conferences, and accessibility teams often need a printable transcript alongside the live captions. TTML to TXT is the fastest way there.
• Search, grep, and analytics — Plain text is greppable; XML is not. Compliance teams, legal discovery, and content-moderation pipelines routinely flatten broadcast TTML archives to TXT so they can grep -r "trademarked phrase" or load the corpus into BigQuery.
• Word count, readability, and length checks — Once stripped to plain text you can run it through Word Counter to verify episode length, billable transcription wordage, or readability scores.

Working with a related caption format? See TTML to SRT if you need to keep the timecodes, TTML to VTT for web-video players, or SRT to TXT and VTT to TXT if your source isn't TTML. Going the other direction (a raw transcript back to a caption track), use TXT to TTML.

TTML vs SRT vs VTT vs TXT — Which Caption Format Does What

Property	TTML	SRT	VTT	TXT (output)
Base syntax	XML (W3C)	Numbered cues, plain	WEBVTT header, plain	Plain text only
Styling, color, positioning	Yes — rich CSS-like styles, regions, multiple tracks	No (some players accept embedded HTML)	Yes — cue settings, CSS via STYLE blocks	None
Timestamp precision	Down to fractional seconds and frames	HH:MM:SS,mmm (comma separator)	HH:MM:SS.mmm (dot separator)	None
Profiles / variants	TTML1, TTML2, IMSC 1.0/1.1, EBU-TT, SMPTE-TT, DFXP	None — single spec	One spec	n/a
Standardized by	W3C (Rec since 2010)	De facto, no formal standard	W3C	n/a
Typical industry use	Broadcast TV, OTT (Netflix IMSC), MPEG CMAF	YouTube uploads, social cuts, video editors	HTML5 <track> web video	Transcripts, AI prompts, archives
MIME type	application/ttml+xml	application/x-subrip (de facto)	text/vtt	text/plain

What the TXT Output Looks Like — Before and After

Stage	Excerpt
Source TTML cue	<p begin="00:00:04.500" end="00:00:07.200" region="bottom" tts:color="white">Welcome to the show.</p>
Converted TXT line	Welcome to the show.
What gets dropped	begin, end, region, tts:* styling, <div>/<body>/<tt> wrappers, namespaces, metadata
What is preserved	Cue text content, paragraph order, line breaks between cues
What is optional	Speaker labels (<span tts:fontStyle="italic">Host:</span>) — kept as inline text

Frequently Asked Questions

Will I lose the timecodes when I convert TTML to TXT?

Yes — that's the point of TXT. The output is the spoken text only, with every begin/end attribute, frame reference, and tick-rate stripped out. If you need to preserve timing, convert to TTML to SRT or TTML to VTT instead, both of which keep timestamps in a much simpler form than the source XML.

My TTML file is from Netflix / IMSC — will it still convert?

Yes. IMSC 1.0 and IMSC 1.1 are constrained profiles of TTML, so an .xml or .ttml file authored to IMSC parses with the same XML rules. The converter walks every <p> element regardless of which profile authored it, and styling blocks (<region>, <style>, tts:* attributes) are discarded along with the rest of the markup.

What about DFXP files — are those TTML?

DFXP (Distribution Format Exchange Profile) is an early TTML profile that uses the .dfxp extension but is XML-compatible with TTML1. If your DFXP file parses as XML it will convert here; rename it to .ttml first if the file picker rejects the extension, or use DFXP to TTML to normalize the wrapper before extracting text.

Are sound descriptions and music cues kept in the TXT output?

If they're written as text inside a <p> cue (for example [applause], (music swells), or ♪ ♪), they're kept verbatim because the converter doesn't try to distinguish dialogue from non-dialogue. If you want a dialogue-only transcript, you'll need to delete those lines manually in a text editor after conversion — they're easy to spot because they're typically the only lines wrapped in brackets or framed by music-note characters.

Does each subtitle cue become a separate line in the TXT?

Yes. Each <p> cue in the source TTML becomes a separate line (or short paragraph) in the TXT, in the order they appear in the file. This usually matches the visual cadence of the captions. If your source TTML uses one long <p> per scene rather than per line, you'll get fewer, longer TXT lines — that's the source author's choice, not a converter limitation.

Can I convert a whole folder of TTML files at once?

Yes — the batch upload supports as many TTML files as your browser can hold in memory. Each input file produces a matching .txt output. You can grab them individually or download a single ZIP after the batch finishes. Everything happens client-side, so there's no per-file API charge or upload bandwidth eaten.

Why is my TTML file rejected even though it ends in .ttml?

The converter expects well-formed XML. A .ttml file produced by a buggy authoring tool may contain unescaped &, mismatched tags, or a missing XML declaration — those all fail the parser. Open the file in any text editor and confirm it starts with <?xml version="1.0"...?> and <tt xmlns="http://www.w3.org/ns/ttml"...>. If the source was renamed from .xml or .dfxp and isn't actually TTML, the namespace will be different and you'll need the matching converter for the real format.

Is my caption file uploaded to your servers?

No. This converter runs entirely client-side in your browser using JavaScript — nothing about your TTML, your transcript, your filenames, or your metadata leaves your machine. That's especially relevant for unaired broadcast captions, embargoed press conferences, or anything else where the script is sensitive before publication.