Gemini Omni 1.2 Flash Video Edit

Edit source video: restyle, add or remove elements.

Playground
APIPricing
~76.65s
Example output
Interaction id (to refine this video)
ChA1MWRiMGU1MTU3YzIxZjc4EAgaAjMyKgRtYWlu

Gemini Omni 1.2 Flash Video Edit: AI Video Editing

What is Gemini Omni 1.2 Flash Video Edit?

Gemini Omni 1.2 Flash Video Edit, from Google, edits a source video of up to 15 seconds from a plain-language instruction: add an element, remove one, or restyle the whole clip. Part of the Gemini Omni family, this model is built for fast, conversational editing. The output length follows the source, and native synchronized audio and legible on-screen text carry through the edit.

Key Features

  • Edit source videos up to 15 seconds (video editing up from the previous 10-second ceiling); output length follows the source.
  • Add, remove or restyle elements from a natural-language prompt, conversational edit by edit.
  • Optional reference images, up to 10, whose elements you bring into the same edit.
  • Output from 360p through 4K, with a 360p draft mode to rough out an edit before upscaling.
  • Native synchronized audio and legible on-screen text preserved through the edit.
  • SynthID watermarking and C2PA Content Credentials embedded on every output.

Best Use Cases

Gemini Omni 1.2 Flash Video Edit is strongest on edits that do not depend on photoreal humans: restyling a motion-graphics explainer or data video, localising an existing video by editing its on-screen text, and swapping or removing props in a no-people scene. Stylised restyles are a sweet spot: low-poly 3D, claymation and doodle. In testing, a flat 2D vector rainfall infographic was restyled into low-poly 3D while every label stayed legible and correctly spelled.

Prompt Tips and Output Quality

Describe the change precisely and name a target stylised medium. Quote every on-screen word in single quotes and end with "every word spelled exactly as given, no other text". Use a locked-off camera, list what must not move, and write one sound per beat. Because the output length follows the source, trim the source first, and check frames before upscaling since one instruction in a dense prompt may be dropped.