TXT vs SRT vs VTT: Which Transcript Format to Use
Three formats. Three jobs. The mistake most people make is downloading whichever format is listed first without knowing what the file actually contains or where it works.
Ghulam Mujtaba
Software Developer at Codingtron · Vehari, Pakistan
Builder of Facebook to Transcript. Writes about AI transcription, video accessibility, and practical workflows for content creators and researchers.
TXT vs SRT vs VTT: Which Transcript Format to Use
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Format comparison at a glance
| Format | Contains | Use for | Does not work for |
|---|---|---|---|
| TXT | Plain text only, no timestamps | Blog posts, newsletters, research notes, social copy | Caption upload to any platform (timing is lost) |
| SRT | Sequence numbers, timestamps (HH:MM:SS,mmm), caption text | Facebook, YouTube, LinkedIn, Vimeo caption upload | Web HTML5 players (use VTT); TikTok and X (no upload supported) |
| VTT | WEBVTT header, timestamps (HH:MM:SS.mmm), text, optional CSS metadata | HTML5 <video> <track> element, YouTube, Vimeo | Facebook (rejected), LinkedIn (rejected) |
TXT: the format for content, not captions
Plain text output is the right choice whenever you are working with the words, not the timing. Blog posts, email newsletters, social media copy, study notes, research quotes — all of these need clean prose. TXT delivers that: continuous paragraphs, no timestamp interruptions, no sequence numbers breaking the flow. The WebVTT specification explains how the structured format alternatives work if you're curious about what TXT strips out.
The one thing TXT cannot do is go back to timed captions. Timing data is permanently absent. There is no tool that accurately regenerates timestamps from plain text alone. If you might need the timed version later, download SRT now and convert to TXT yourself by opening the file and deleting the timestamp lines. That takes two minutes. Re-generating timestamps from scratch takes much longer.
SRT: what the file actually looks like
SRT is simple. Each caption block has three components: a sequence number, a timestamp line, and the caption text. Blocks are separated by a blank line.
1 00:00:00,000 --> 00:00:03,400 This is the first caption block. 2 00:00:03,500 --> 00:00:07,200 This is the second caption block. It can span two lines. 3 00:00:07,300 --> 00:00:10,100 And so on.
The timestamp separator is a comma, not a period. That single character difference causes Facebook to reject files when they contain 00:00:01.500 instead of 00:00:01,500. The error message Facebook returns does not usually identify the cause.
Facebook also requires the language code in the filename. For US English:video.en_US.srt. The full upload process is covered in the subtitle upload guide.
VTT: the web standard
WebVTT is the format browsers use natively. An HTML5 <video> element reads a VTT file via the <track> element and renders captions without any JavaScript. This makes VTT the correct format for embedding video on a website where you control the player.
VTT and SRT contain almost identical information. The practical differences: VTT has a WEBVTT header on line one; timestamps use periods (00:00:01.500) instead of commas; and VTT supports additional metadata like region positioning and CSS styling that SRT does not. Facebook and LinkedIn reject VTT because their upload parsers expect SRT specifically. YouTube and Vimeo accept both. I've had SRT rejections on Facebook catch me out more than once — the period-vs-comma difference in timestamps is genuinely easy to miss when converting between formats.
The counterintuitive fact about VTT: most transcription workflows do not need it. If you are publishing video on social platforms, SRT covers everything. VTT only becomes relevant when you are self-hosting video on a website and need the browser to handle captions natively without a platform intermediary.
Converting between formats
VTT to SRT: open the file, delete the first line (WEBVTT) and the blank line after it, then find-and-replace all period timestamp separators with commas. Save as .srt. That takes under two minutes for any file length.
SRT to VTT: add WEBVTT as the first line with a blank line after it, then replace comma separators with periods in timestamps. Save as .vtt.
Neither conversion is lossy. The only lossy conversion is TXT export — once timing data is gone, it cannot be recovered without re-processing the original audio. See the transcript editing guide for best practices on reviewing and correcting transcript output before exporting in any format.
When the right format depends on your workflow, not the platform
Several use cases genuinely require both formats from the same transcript. A podcast episode might need TXT for the show notes, SRT for the YouTube caption upload, and another TXT version for the newsletter. The key insight: download all formats you will need at the time of transcription, not after. Once you have closed the result and discarded the session, you typically need to re-run the transcription to get a different format — the TXT does not contain the timing data needed to regenerate SRT.
For research workflows where the transcript will go into a text analysis tool, TXT is always correct. Analysis tools — whether spreadsheet-based coding, NLP processing, or keyword analysis — work with plain text. SRT sequence numbers and timestamp lines pollute the text data and produce false results in word frequency analysis and keyword searches. Strip the SRT metadata before any text analysis, or export TXT from the start.
Transcript formats and SEO: what actually matters
Google indexes text in HTML, not text in caption files. A TXT transcript converted to HTML paragraphs on a webpage is fully indexed. An SRT file linked for download may be partially indexed by Googlebot — it reads some file types linked from pages — but the indexing is less consistent and less complete than HTML text.
The practical implication: if you want a transcript to drive organic search traffic, publish it as HTML content on a page, not just as a downloadable file. A blog post with the transcript text as readable paragraphs — with the video embedded — is the most SEO-friendly format. The transcript adds keyword-rich content that the video alone can't contribute to search engines, since Google can't index spoken audio.
Format portability is a separate consideration from SEO. TXT is readable in any environment: a phone, a text editor from 1995, a terminal window. SRT requires a player or editor that understands the format. VTT requires a browser-compatible environment. For long-term archiving, TXT is the most durable choice. For operational captioning, SRT or VTT serves the immediate purpose but is less durable as a standalone archival record. Keep a TXT copy alongside caption files for long-term storage.
The practical recommendation for any transcription session: download both TXT and SRT before closing the session, even if only one format is immediately needed. The SRT takes three seconds to download. Re-running a transcription later to retrieve timestamps because the session was closed with only TXT saved wastes the entire original processing time. Both formats from the same session is the minimum sensible default.
Decision rule: pick your format before you transcribe
Decide the destination before running the transcription. Captioning a video? Download SRT. Writing a blog post? Download TXT. Embedding on a website? Download VTT. Most tools allow multiple downloads from the same result — but if you download TXT first and then need SRT, you will have to re-run the transcription to get timestamps back.
Frequently Asked Questions
Can I convert a TXT transcript to SRT?
Not automatically, and not without significant manual work. TXT strips all timing data when exported. Converting that file back to SRT means re-watching the source video and manually assigning a start and end timestamp to each caption block — effectively re-transcribing the timing from scratch. There is no tool that accurately regenerates timestamps from plain text alone because that timing information is permanently destroyed in the TXT export. If you think you might need SRT later, download it from the transcript tool at the same time you download TXT. The two downloads take seconds and the timing data cannot be recovered any other way once the session is closed.
Does Facebook accept VTT files for caption upload?
No. Facebook Creator Studio only accepts SRT for caption uploads on standard video posts. VTT is a web standard used by HTML5 players but rejected by Facebook. Convert VTT to SRT by removing the WEBVTT header line and replacing period timestamp separators with commas (00:00:01.500 becomes 00:00:01,500).
What is the correct SRT filename format for Facebook?
Facebook requires the language code embedded in the filename: videoname.en_US.srt for US English, videoname.es_LA.srt for Latin American Spanish, videoname.fr_FR.srt for French. Uploading a file named just captions.srt causes a silent rejection or wrong-language assignment.
Is VTT better than SRT for accessibility?
VTT supports more features: CSS styling, region positioning, and metadata tracks alongside captions. For web accessibility under WCAG 2.1 AA, VTT is the technically superior format when using HTML5 video. However, most hosted platform uploads (Facebook, LinkedIn, YouTube) accept SRT and handle accessibility requirements through their own display engines. For web-embedded video, prefer VTT.
What happens if I paste SRT content into a blog post?
The timestamp lines and sequence numbers appear as literal text and break the prose flow. SRT is a structured file format, not readable content. Always export TXT for any use case involving prose — blog posts, newsletters, social copy, research notes. The only time SRT goes into a text document is when the document itself is documenting subtitle formatting.
Can I use a VTT file directly as the transcript source for a blog post?
Not without stripping the markup first. VTT files contain caption blocks with timestamps, region tags, and sometimes inline CSS styling — none of which belongs in a text article. A VTT file opened in a text editor and copied directly produces a garbled mix of timestamps and partial sentences. To get clean prose from a VTT: either use the TXT export from the transcription tool directly, or run the VTT through a converter that strips the formatting and joins the caption blocks into continuous paragraphs. Any SRT-to-TXT converter handles VTT as well since the underlying structure is similar.
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