Veo
Google DeepMind's text-to-video model family, announced at Google I/O in May 2024 and offered in Google's AI products and cloud platform.
Also Google Veo · Veo 3
Google DeepMind, 2024
Google's version of a movie-making robot: describe a scene and it films it for you, without cameras or actors.
Where it fits
+All relationships as a list
Is a kind of / part of
Siblings
Uses / built on
How it works
Google DeepMind announced Veo at Google I/O in May 2024, a few months after OpenAI’s Sora. It generated high-definition clips from text, and could also take an image or a video as a starting point.
Later versions improved realism and prompt following and added generated sound: dialogue, effects and ambient noise produced together with the picture.
Google has shared few architecture details. What is known places it squarely in the text-to-video family built on diffusion models. Like Google’s image models, its output carries an invisible SynthID watermark so that generated video can be identified later, one of the mitigations against deepfakes.
Everyday use cases
- Case 01
How you've probably met it
Through generated clips in Google's Gemini app, YouTube Shorts tools or ads made with Google's creative tools.
Strengths, weaknesses and when to use it
Strengths
- High resolution and prompt adherence; integrated into widely used products.
Weaknesses
- Same limits as all video generators: physics mistakes, cost and misuse risk. Google adds SynthID watermarks to outputs.
When to use itAs an example of text-to-video built into mainstream products.