Example input
A three-minute onboarding clip with screen narration, chapter transitions, and a short product walkthrough.
Coming Soon · Private Preview
AI Video Translation helps prepare multilingual subtitles and audio tracks.
This workflow is not public self-serve yet. Join the waitlist if your team needs localized product demos, tutorials, onboarding videos, or campaign clips.
Media scope
Product demos, onboarding videos, tutorials, and campaign clips with multilingual output.
Output layers
Subtitle track generation first, then optional dubbed audio lanes for selected language pairs.
Quality focus
Built around subtitle timing, optional audio review, and reviewable outputs before publication.
Data handling
Different from public browser video tools.
Public video tools are designed for browser-side processing. AI Video Translation may require server-side processing after early access is approved.
Do not send sensitive source media until scope, retention, and review expectations are confirmed.
Review data handlingBest fit
Product demos, onboarding clips, tutorials, and campaign videos with planned target languages
Teams that can review subtitles and optional audio before publication
Recurring localization work where runtime, launch timeline, and output needs are known
Not fit
One-off casual translation where a subtitle draft is enough
Sensitive media without confirmed access terms and data-handling expectations
Projects that require contractually assured dubbing quality before review
Sample workflow
How an early-access video localization request would move from source media to reviewable outputs.
Planned output
A reviewable subtitle package with source transcript, translated subtitles, timeline notes, and optional audio scope marked separately.
Human review
A reviewer checks terminology, timing, reading speed, and whether translated audio is appropriate for the selected language pair.
Planned output matrix
Subtitle review comes first; audio output stays scoped until fit and quality needs are confirmed.
| Output | Use | Status |
|---|---|---|
| Source transcript | Create a text baseline for subtitle review and translation. | Planned |
| Translated subtitles | Prepare timed target-language subtitle tracks for review. | Planned first |
| Timeline review notes | Flag sections where timing, reading speed, or speaker context may need edits. | Planned |
| Optional audio scope | Evaluate dubbed audio only when language, voice, and review needs are confirmed. | Scoped later |
Planned capabilities
Expected workflow shape for early access users.
Subtitle + timeline localization
Create target-language subtitle tracks with timing alignment suitable for product demos and tutorials.
Voice workflow integration
Evaluate optional translated audio tracks for selected use cases after subtitle timing and language scope are confirmed.
Reviewable output history
Keep subtitle, audio, and export status visible so teams can review localized media before publishing.
Early access fit
What helps us evaluate whether this preview fits your team.
Sample video review and timing quality checks
Early access terms based on runtime, languages, and output needs
Quality baseline for subtitles, voice, and review exports
Early access can be enabled for teams with real media samples and target launch dates.
Review workflow previewsFrequently asked questions
Practical status and data boundaries for AI Video Translation.
Is AI Video Translation public self-serve?
No. AI Video Translation is a private preview, and early access is reviewed based on runtime, target languages, output needs, and support requirements.
How are public video tools different?
Public video tools are designed as browser-side utilities unless a specific page states otherwise. AI Video Translation is a separate early-access workflow.
What outputs are planned first?
The preview is planned around subtitle extraction, translated subtitle tracks, timeline review, and optional dubbed audio as a later or scoped workflow.
Is high-quality dubbing promised?
No. Dubbing quality depends on voice requirements, language pair, media quality, review process, and whether audio output is included in the scoped workflow.
What media is not a good fit?
Sensitive media without an agreement, very large or unsupported files, and projects requiring final-quality output before review are not a good fit.