Veo is Google DeepMind’s family of text-to-video generation models. You describe a scene in ordinary language — a jeep fording a mountain river at dawn — and Veo renders a short, film-like video clip that matches your description. It is the video counterpart to image generators, trained on vast collections of video and text so it learns how objects move, how light behaves and how cameras feel.
The model family: Veo → Veo 2 → Veo 3
- Veo — the first generation, introduced in 2024, established high-fidelity text-to-video.
- Veo 2 — sharper visuals, better physics and motion, improved prompt following.
- Veo 3 — the breakthrough generation: it adds native audio. Clips arrive with generated dialogue, sound effects and ambient sound synchronized to the picture, not silent footage you must score yourself.
Where you actually use it
| Where | Who it’s for |
|---|---|
| Gemini app (subscriber tiers) | Quick clip generation inside a chat you already know |
| Flow | Creators and filmmakers building multi-shot projects |
| Veo API (Vertex AI) | Enterprises embedding generation in their own products |
Flow deserves special mention: it is Google’s purpose-built AI filmmaking tool, designed around Veo for people assembling real projects rather than one-off clips. We devote a full lesson to it later.
How long are clips?
Veo clips are short — think in seconds, not minutes. A typical generation is around eight seconds, and you can extend a clip to continue its action. That constraint is by design: it pushes you to think like a filmmaker, planning a story as a chain of short shots rather than expecting one endless take.
Key takeaway: Veo generates short cinematic clips (typically ~8s, extendable), Veo 3 adds native audio, and you reach it through the Gemini app, Flow, or the enterprise API.
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