Veo is Google DeepMind’s family of text-to-video and image-to-video models, positioned as the company’s answer to OpenAI’s Sora and the leading commercial video generators. Veo generates cinematic clips from a written prompt or a still image, with controls over camera movement, scene extension, and visual style.
The line advanced quickly through several versions. The first Veo was introduced in 2024. Veo 3, unveiled at Google I/O in May 2025, added a capability that earlier video generators lacked: native audio generation, producing synchronized dialogue, sound effects, and ambient noise together with the picture rather than requiring a separate audio step. Later iterations such as Veo 3.1 emphasized greater realism, improved physics, better prompt adherence, and output up to 4K resolution, with clips generally in the range of several seconds. Because the model lineup advances over time, the live DeepMind Veo page is the reference for the current offering; this entry fixes the announced milestones rather than a frozen feature list.
Veo mattered as a sign that the largest AI labs treat generative video as a core battleground, and the addition of native audio in Veo 3 closed a gap that had kept earlier clips feeling unfinished. For a business reader, the practical takeaway is that producing short, audio-complete video from a prompt is moving from demo to product, with direct implications for advertising, social content, and film pre-visualization.