Skip to main content
Video generation and translation must be enabled for your organization. Contact your Gradial team to confirm availability.
Localizing a video normally means moving one source file between four different tools: a dubbing service for the audio, a lip-sync tool for the picture, a design tool for the on-screen text, and an editor to reassemble it all. Every handoff is a place for timing to drift and branding to break. Gradial can now run that whole chain inside a single task. Ask Grady to localize a talking-head video and it coordinates the voice, visual synchronization, on-screen text, and final assembly steps, then returns one playable video file. Grady can also generate a new video from a written creative prompt.

What Grady can do

Generate a video from a prompt

Describe the video you want in a written creative prompt and Grady can create it.

Dub while preserving the speaker’s voice

Existing speech can be translated into another language while retaining the original speaker’s voice, delivery, and overall timing — so the localized version still sounds like the person who recorded it.

Synchronize visible speech

Where a speaker is on camera, Grady can adjust their mouth movement to match the translated audio, or audio you supply yourself.

Localize static on-screen text

Full-screen title cards, presentation slides, and clean static text panels can be translated while preserving their layout and branding.
On-screen text localization covers static text — title cards, slides, and clean text panels. Text that moves, animates, or sits over busy footage is not in scope.

Assemble and deliver one file

Translated audio, synchronized footage, and localized static text are combined into a single, broadly compatible video file. Completed videos are published directly in the task as downloadable artifacts, ready to play or hand off.

How delivery is verified

Video work runs long and depends on external processing, so Gradial checks the result before handing it back: Grady tracks long-running provider jobs through to completion, and safely reuses a matching submission when a task is retried — so a retry doesn’t silently kick off duplicate work.