SpeechLab

Teams use SpeechLab to localize spoken content from start to finish without rebuilding their production process. A typical session begins by uploading a finished edit or a raw recording, then checking the auto transcript to fix speaker labels, brand terms, names, and punctuation so the script is ready for downstream work. Once the wording is correct, the same project can be pushed into other languages for quick review, keeping phrasing consistent across a whole series.

For video publishers, the platform fits into an edit-and-publish routine: generate captions for the original cut, adjust timing where needed, then create additional language audio tracks and export files that drop into your editor or CMS. For podcasts and interviews, it’s often used to produce translated episodes without booking new voice sessions, while still keeping each person’s voice recognizable. Course creators can turn one lesson into multiple language versions, swap tracks per region, and ship updated modules faster when scripts change.

SpeechLab also supports practical deliverables for distribution. You can download subtitle/caption files for accessibility and compliance, render a new video with the replacement audio, or export a cleaner dub by removing the original background audio when required. The outcome is a repeatable workflow for publishing the same content in multiple markets with consistent language assets and predictable turnaround.