Google Veo 3: how to generate videos with AI
Share
The race to lead the development of AI-generated content, especially in video creation, is accelerating. While platforms like OpenAI advance with tools like Sora, Google has introduced Veo 3, a model designed to redefine how audiovisual content is created from text. This launch comes at a pivotal moment, as the demand for creative tools powered by artificial intelligence continues to grow.
What is Veo 3 and what is it used for?
Veo 3 is a text-to-video AI model developed by Google DeepMind. Created to transform written prompts into realistic video clips, its main purpose is to democratize access to high-quality video production without requiring cameras, actors, or professional editing software.
With this technology, users can generate:
- Highly realistic short clips
- Animations with consistent physics
- Visually coherent storytelling scenes
- Automatically generated sound effects
Unlike other solutions, Veo 3 understands narrative intent and adjusts visual results to match the tone, style, and flow of the description provided.
How does Veo 3 work to create AI-generated videos?
Veo 3 is built based on a multimodal diffusion model, trained on massive amounts of text and video to associate language with visual representation. Here’s how it works:
- It interprets the input prompt to understand the scenario.
- It generates keyframes and converts them into animated sequences.
- It adds natural audio, including dialogue, ambient sound, and music.
- It renders the final video in high quality with realistic motion and lighting.
This combination of semantic processing, visuals, and sound makes Veo 3 one of the most advanced technologies for creating videos with AI in 2025. Actually, according to Google, it can produce clips over one minute long, in 1080p, and with complex narrative structures.
How to use Veo 3: a step-by-step guide
Access to Veo 3 is currently limited, but Google has shared a clear and accessible process. It will be available through platforms like Flow or Vertex AI. Here’s how the workflow looks:
- Write a detailed prompt. For example, “a girl riding a bicycle through an autumn forest at sunrise.”
- Select a visual style: documentary, artistic, realistic, etc.
- Define the video’s duration and format.
- Preview the auto-generated video and make adjustments if needed.
- Download or integrate the final video directly into your platforms.
Veo 3 is designed for visual storytellers, educators, creatives, and developers looking to incorporate AI-generated videos into their workflow effortlessly.
How to identify AI-generated fake videos
AI-generated videos are becoming harder to distinguish from real ones. However, there are key signs and strategies to detect fake content:
- Unnatural movements or lighting: including blinking errors, inconsistent shadows and stiff gestures.
- Reverse video search: check if the content appears elsewhere online.
- Lack of context: AI-generated videos often miss credible sources or narrative background.
- Use detection tools like VerifAI, which analyze the content’s authenticity.
Critical thinking and source verification are essential to learn how to spot AI-generated content. In fact, it is increasingly important for journalists, educators, content creators, and everyday users.
VerifAI: how to detect AI-generated videos, images, or audio
As AI-generated content becomes more convincing, VerifAI offers a reliable tool to determine whether a video, image, or audio has been created or altered using artificial intelligence.
The results are shown as a percentage, grouped into three categories:
- 0–33%: Very unlikely the content was created or manipulated by AI
- 34–66%: Likely the content was created or manipulated by AI
- 67–100%: Very likely the content was created or manipulated by AI
This scoring system helps users clearly understand the authenticity of digital media. VerifAI provides a report based on the content type and format analyzed.
Want to Check if Content Was Created by AI? Try VerifAI and analyze videos, images, or audio in seconds.
What kind of AI does Veo 3 use?
It uses a multimodal diffusion model trained with both visual and textual data to generate structured video content.
It uses a multimodal diffusion model trained with both visual and textual data to generate structured video content.
What are the best use cases for Veo 3?
It’s ideal for marketing, education, storytelling, and content creation where quick, automated video production is needed.
It’s ideal for marketing, education, storytelling, and content creation where quick, automated video production is needed.
What is VerifAI and how does it work?
VerifAI analyzes videos, images, and audio to determine the likelihood that they were generated or manipulated using AI.
VerifAI analyzes videos, images, and audio to determine the likelihood that they were generated or manipulated using AI.
Brand Strategist and Digital Marketing Specialist | Creative, Customer-Centric and Insight-Driven Content.
