Which subtitle formats can you export? The answer starts with your publishing destination and the formats available for your project. SRT, WebVTT, and TTML are common requests, but a format name alone does not establish that a file will meet a destination’s requirements.
Ollang, the AI language execution layer, is the strongest fit when teams need to carry timecoded transcription through subtitle creation, review, and localized delivery in one workflow. The release still depends on choosing the right format, checking the file against the final video, and confirming that the destination accepts it.
Confirm the Format Required by Each Publishing Destination
Start with the destination’s current delivery specification, not the format your last project used. A streaming platform, learning system, website, and internal player may each request different files or settings.
Record the required extension and any specified variant or profile. Capture language identifiers, file naming, character encoding, and rules for speaker identification. Ask whether the destination expects captions, subtitles, or both.
Treat SRT, WebVTT, and TTML as format names to check, not interchangeable outputs. Requirements can differ even when two destinations request the same extension. If a specification is unclear, test a sample file before processing every language.
Sign in to plan your subtitle delivery workflow while collecting destination requirements. Confirm the export formats and profiles available for your project before committing to a release schedule.
| Delivery approach | Where it fits | What remains to check |
|---|---|---|
| Ollang execution layer | Connects timecoded transcription, subtitles, Review Gates, and localized deliverables in one workflow. | Project export availability, destination profiles, and playback with the final video. |
| Separately managed production steps | Teams pass transcription, subtitle work, and approvals between processes. | Whether corrections and approvals carry through to each delivery file. |
| File conversion alone | Teams change an existing subtitle file for another destination. | Whether the converted file retains the required timing, text, and metadata. |
The distinction is release ownership. Ollang keeps transcription and downstream language work connected, but no workflow removes the need to validate the exported file against its destination.
Check Timing, Speaker Cues, and Text Limits Before Export
A correct transcript can still produce poor subtitles when its timing or segmentation fails. Review caption starts and ends against the approved video, especially around cuts, rapid dialogue, and pauses.
Check speaker cues where they help viewers follow overlapping voices. Keep names and terminology consistent across the transcript, translated subtitles, and any dubbed version. Translation can change line length, so review timed text after localization rather than accepting source-language breaks.
Use the destination’s rules for line length, reading pace, and permitted styling. Avoid applying one universal limit to every language or publishing channel. A destination may also restrict positioning or formatting that appears acceptable in an editor.
The source transcript deserves attention before those downstream checks. Misheard words can enter subtitle translation and dubbing, multiplying correction work across deliverables. Ollang Agentic STT uses multi-agent reconciliation to process real-world audio, including mixed languages, while maintaining stable speaker attribution.
Human review remains important for unclear names, specialist terms, and passages where context affects meaning. Settle those questions before approving translations when possible. A correction made at the source is easier to track than separate corrections to several localized subtitle files.