
You have a perfectly transcribed subtitle file. Now you need to export it, and the tool gives you three options: SRT, VTT, and SBV. All three contain the same words. All three sync text to timestamps. But they are not interchangeable, and choosing the wrong format means your subtitles may not display, may lose styling, or may simply be rejected by your target platform.
Here is what each format does, how they differ, and when to use which.
All subtitle formats share the same basic structure: timestamped text segments that tell a video player when to show specific words on screen.
Every subtitle file contains three elements. A timing code specifies when each caption appears and disappears (typically in hours:minutes:seconds,milliseconds format). The caption text contains the words to display. A sequence identifier or blank line separates one caption block from the next. The differences between formats come down to how these components are structured and what additional features each format supports.
Subtitle files are plain text files. You can open any SRT, VTT, or SBV file in a basic text editor and read the contents directly. No special software is required to create or edit them. When CAMB.AI's Speech-to-Text generates transcripts, the output can be exported in these standard formats, ready for immediate use with any compatible video player or platform.
Subtitle files should be saved in UTF-8 encoding to support characters from all languages. A subtitle file created for Mandarin content but saved in ASCII encoding will display garbled characters. When working with multilingual subtitle workflows, always verify encoding before publishing.
SubRip Text (SRT) is the most widely supported subtitle format. If you only learn one format, make it SRT.
An SRT file contains numbered caption blocks. Each block has a sequence number on the first line, a timestamp range on the second line (formatted as 00:00:00,000 --> 00:00:02,500), and the caption text on the following lines. A blank line separates each block. The simplicity of this structure is exactly why SRT became the universal standard.
SRT is accepted by virtually every video platform and player: YouTube, Vimeo, Facebook, LinkedIn, VLC, media servers, and learning management systems. If you are unsure which format a platform accepts, SRT is almost always a safe bet. When generating subtitles through CAMB.AI's transcription tools, SRT is the default export option for maximum compatibility.
SRT does not natively support text styling (bold, italic, color, positioning). Some players honor basic HTML tags within SRT files (like `<b>` for bold), but this behavior is inconsistent. If you need styled or positioned subtitles, VTT is the better choice.
WebVTT (Web Video Text Tracks) was designed specifically for HTML5 video, making it the native subtitle format for modern web applications.
VTT files start with a required "WEBVTT" header on the first line. Timestamps use a period instead of a comma for millisecond separation (00:00:00.000 instead of 00:00:00,000). Sequence numbers are optional. Beyond these structural differences, VTT supports features that SRT cannot match.
VTT supports CSS-based styling through cue settings. You can control text position (top, bottom, left, right), alignment, font size, and color directly within the subtitle file. For video content where subtitles need to avoid overlapping important visual elements, VTT positioning is essential. Styled captions also improve readability on complex visual backgrounds.
VTT is not limited to subtitles. The format supports chapter markers (for video navigation), metadata tracks (for machine-readable information), and description tracks (for accessibility). A single VTT file can contain multiple types of timed text content, making it the most versatile format for web-based video applications.
SubViewer (SBV) is primarily associated with YouTube and is simpler than both SRT and VTT. The format's practical use case is narrow.
SBV files contain timestamp pairs followed by caption text, separated by blank lines. Timestamps use a period for millisecond separation (0:00:00.000,0:00:02.500). There are no sequence numbers. The format is minimalist, containing only timing and text with no support for styling or metadata.
YouTube generates SBV files when you download auto-generated or manually uploaded captions. If you are working exclusively within the YouTube ecosystem, SBV works fine. YouTube also accepts SRT and VTT uploads, so there is rarely a reason to choose SBV over SRT unless you are downloading existing YouTube captions for editing.
Outside of YouTube, SBV support is limited. Most professional video editors, streaming platforms, and LMS systems do not accept SBV natively. If your subtitle workflow involves any platform beyond YouTube, use SRT or VTT instead. Converting between formats is straightforward with most subtitle editing tools, so being locked into SBV is usually avoidable.
The format decision depends on where your video lives and what features you need.
Use SRT. Accepted everywhere, simple to create, easy to edit. If you distribute video across multiple platforms (YouTube, Vimeo, social media, your own website, LMS), SRT ensures your subtitle file works on all of them without conversion.
Use VTT. If your video is embedded on your website using HTML5 video tags, VTT is the native format and gives you styling control that SRT cannot provide. For organizations using CAMB.AI's Website Translation to serve multilingual web experiences, VTT subtitles integrate directly with the translated page content.
SBV is acceptable, but SRT works just as well on YouTube and gives you flexibility to repurpose the file elsewhere. Unless you are specifically downloading YouTube's auto-generated captions for editing, there is no practical reason to prefer SBV.
Create one subtitle file per language, using the same format consistently across all languages. Name files with clear language codes (video-title.en.srt, video-title.es.srt, video-title.fr.srt). For video content that also needs AI dubbing into multiple languages, the subtitle text serves as the translation base that the dubbing process can reference for accuracy.
Converting SRT to VTT (or vice versa) requires minimal changes: adjusting the header, swapping comma/period in timestamps, and optionally adding or removing sequence numbers. Many free tools and scripts handle this conversion automatically. The important thing is to verify that conversion preserved all timing accuracy and character encoding, especially for non-Latin scripts.
The subtitle format you choose matters less than having accurate, well-timed subtitles in the first place. Get the content right, then pick the format that fits your distribution platform. For most workflows, SRT is the safe default. For web-native video with styling needs, VTT is the upgrade. SBV is a YouTube-specific format with limited use beyond that ecosystem.
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