Can AI automatically create motion graphics with keyframe animation?

Yes. Google Omni Flash generates motion graphics with keyframe animation directly from a prompt — no manual timeline work. You can prompt text overlays that stay keyframed and tracked to a moving subject, and its Gemini intelligence layer grounds animated data in real facts, rendering stats like a 47% figure accurately inside the frame.

Prompt the motion graphics as part of your shot description and the model handles the keyframe logic internally — you describe what the text or graphic should do, and Omni times, moves, and holds it without you setting a single keyframe. Motion graphics with keyframe animation and text consistency is a major unlock in Omni: across 30+ test outputs, text stayed legible and consistent through motion rather than warping frame to frame.

In-frame text tracking is the technique to use for animated overlays. Prompt Omni to keyframe and track a text element tied to a moving subject — a label that follows a person walking, a callout pinned to a product turning in frame. The model generates the tracking as part of the video itself, so the text moves with the subject instead of floating statically over the footage. This kind of subject-locked text previously required manual tracking and keyframing in a compositor; here it comes out of the generation pass.

For explainer-style graphics, lean on the Gemini intelligence layer. Because Omni sits on Gemini's internet-scale knowledge, you can prompt fact-driven motion graphics — anatomical diagrams, scientific narration, data callouts — and the content is factually grounded, not decorative gibberish. In one mock explainer, the model generated and animated a "47% increase in workplace happiness" stat with the number rendered accurately as an in-video graphic. That combination — accurate data plus automatic animation — is what makes prompt-driven explainer videos viable end to end.

Know the output parameters before you build a piece around it. Clips generate at 4, 6, 8, or 10 seconds, so plan motion-graphics sequences as stitched segments rather than one long take. Output defaults to 720p, upscales to 1080p at no cost, and native 4K costs the equivalent of a full generation — budget accordingly if the graphics need to hold up at delivery resolution. If your prompt specifies timing, Omni's time code accuracy is sharper than Veo 3.1's, which matters when a graphic has to land on a beat.

One honest limitation: current visual textures are not yet at cinema grade, so treat Omni motion graphics as strong for explainers, social content, and product videos rather than big-screen finishing. If you're running this inside a larger project, the invideo agent can route motion-graphics shots alongside your other generations — Veo, Kling, and Seedance 2.0 are all available in the same workspace, so you pick per shot rather than per platform.

Watch some of these to see what works for you:

Google's Omni model is one of the few models, if not the only model out there that offers native 4K. The moment we have a 4K model that has very very very strong VFX capabilities, we will finally have an AI model that is ready for big screen primetime.

— invideo's creative team