Google's high-fidelity text-to-video model. Cinematic motion, real-world physics, and sharp on-screen text.
Veo 2 is Google DeepMind's second-generation video model, and in 2026 it's the closest credible competitor to OpenAI's Sora for cinematic, coherent text-to-video. It understands real-world physics, camera motion, and lens language — you can ask for 'a slow dolly shot at golden hour' and get something that looks filmed, not rendered. On-screen text is sharper than nearly any rival, which matters for ads and explainers.
Who it's for: Google Workspace and Gemini users, agencies producing short-form ads, and creators who need legible text and controlled camera moves inside generated clips.
Specify camera moves, lenses, and lighting. Veo 2 understands film grammar, not just 'make a video of X'.
Models gravity, reflection, and material behavior so clips read as footage, not animation.
Renders legible titles and labels — a real edge for explainer and ad content.
Prompt from Gemini and push to VideoFX; no separate model subscription required.
The strongest Google video model yet and a real Sora rival for controlled, text-heavy, cinematic clips. If you live in the Google ecosystem it's the obvious choice; otherwise Runway's tooling and community still win for hands-on editing.