Veo

Veo

Description of the Veo neural network

Veo is a generative neural network from Google DeepMind designed to create videos based on text descriptions and images. The model can generate videos up to two minutes long, understands the physics of object movement, and supports cinematic terms for controlling camera angles. In June 2025, an updated version — Veo 3 — was released, featuring improved quality and enhanced detail in output video.

The neural network works with both text prompts (up to 100 words) and uploaded images, allowing animated video sequences to be created from them. Each generated frame is marked with a digital SynthID watermark, helping to identify content created by artificial intelligence.

Veo characteristics

Characteristic	Value
Type	Generative neural network for video creation
Developer	Google DeepMind
Release date	December 16, 2024
Maximum resolution	4K (4096×2160 pixels)
Maximum video duration	128 seconds (2 minutes)
Prompt support	Up to 100 words
Number of visual styles	12 (realism, animation, and others)
Watermark	SynthID in every frame
Integration	YouTube Shorts (up to 15 seconds), Vertex AI (in 2025)

Who is the Veo neural network suitable for?

Creative professionals and video producers

Veo will be useful for video editors, directors, and creative directors who want to quickly create conceptual video materials, storyboards, or rough cuts without involving a film crew. The ability to control camera angles and styles allows experimentation with visual solutions at early stages of production.

Marketers and social media content creators

For content marketing specialists and SMM managers, Veo is suitable as a tool for generating short videos for YouTube Shorts (up to 15 seconds) and other platforms. Support for text prompts simplifies the creation of advertising or informational videos without the need to edit them manually.

Designers and artists

Artists and graphic designers can use Veo to animate static images or implement complex visual ideas based on text descriptions. Understanding movement physics helps achieve more natural object animation.

AI researchers and enthusiasts

Specialists studying the capabilities of generative models will appreciate Veo as a platform for testing the boundaries of AI video generation and analyzing the quality of the neural network's performance compared with alternatives.

How to use the Veo neural network?

Registration and access

To start working with Veo, you need to register on the labs.google platform. After logging into your account, the user is taken to the VideoFX web application, where all video generation features are available. Registration has been open since December 2024.

Video generation process

Working with the neural network involves several steps: enter a text prompt (up to 100 words), select the desired parameters — camera angle and one of 12 available visual styles (realism, animation, and others) — then start generation. Creating an 8-second clip takes about 20 seconds. The finished video can be downloaded to your device right away.

Integration with other services

Veo integrates with YouTube Shorts, allowing short videos to be created directly for the platform. In addition, integration with Vertex AI is expected in 2025, which will open access to the model for enterprise users of Google cloud services.

Key features of Veo

4K video generation

The neural network supports creating videos with a maximum resolution of 4K (4096×2160 pixels), providing high image detail. At launch, the VideoFX web interface offers a 720p limit — full resolution may be delivered later or through other access channels.

Creating video from text and images

Veo works in two modes: from text descriptions (up to 100 words) and from uploaded images. In the second case, the neural network animates a static picture or uses it as a reference for generating a video sequence.

Camera angle control and movement physics

The model understands cinematic terms — parameters such as "low-angle shot" or "close-up" can be specified. In addition, the neural network simulates physical laws: gravity, object collisions, and other basic interactions, making generated videos more realistic.

Visual style support

Users have access to 12 different visual styles — from photorealism to animation. This allows the result to be adapted to specific tasks and visual preferences.

Advantages of Veo

Generation quality

According to MovieGenBench tests, 85% of users note that Veo outperforms Sora by OpenAI in video quality. The model demonstrates a high level of detail and accuracy in fulfilling prompts.

Physics accuracy and realism

In tests, the accuracy of physical process simulation reaches 92%. The neural network correctly handles object movement, interaction, and compliance with the laws of physics, reducing the number of unnatural artifacts.

Speed

Generating short 8-second clips takes about 20 seconds. This allows ideas to be tested quickly and results obtained without long waits.

Free access to core features

Currently, key Veo capabilities are available free of charge to registered users, making the neural network attractive to a wide audience.

Disadvantages of Veo

Limited resolution at launch

At launch, the VideoFX web application only offers 720p resolution, even though the model technically supports 4K. Full use of high resolution may be implemented later.

English-only support

Currently, Veo supports prompts exclusively in English, which limits its use for Russian-speaking and other non-English-speaking users.

No paid version

A paid version of Veo is not expected before 2026, and its price has not yet been announced. This means pricing and expanded commercial use options remain uncertain.

What tasks does Veo solve?

Video generation from text descriptions

The neural network's main task is turning text scripts or descriptions into a finished video sequence. This is suitable for creating concept videos, advertising materials, and idea visualization without a video production team.

Creating video from images

Veo allows uploaded photos or drawings to be animated, turning static images into short video scenes. This is useful for bringing archival materials to life, creating social media content, or visual experimentation.

Preparing content for YouTube Shorts

Thanks to YouTube Shorts integration, the model is convenient for quickly creating short vertical videos up to 15 seconds long — a popular format for mobile platforms.

Veo pricing

Currently, Veo 3 is available free of charge to early users. Google plans to launch a paid version in 2026, but the specific price and subscription terms have not yet been announced. All core video generation features remain free at this stage.

Terms of use for Veo

To work with Veo, registration on the labs.google platform is required, and it has been open since December 2024. Access to the neural network is available through the VideoFX web application. All generated content undergoes additional safety review in accordance with Google's policy. Each generated frame is marked with the SynthID watermark for transparency about content origin.

Veo availability

The neural network works exclusively in English and is available through the VideoFX web interface at labs.google. Use requires a stable internet connection and a Google account. Currently, registration has no regional restrictions, but supported prompt languages are limited to English.

How Veo differs from alternatives

Superiority over Sora by OpenAI

According to MovieGenBench test results, 85% of users rate Veo video quality higher than Sora by OpenAI. The Google DeepMind model demonstrates better detail, physics accuracy, and understanding of complex text prompts.

Understanding cinematic terms

Unlike some competitors, Veo can interpret professional cinematic concepts — camera angles, shot types, and camera movements. This gives users finer control over the result.

Built-in SynthID labeling

Every frame generated by Veo contains the SynthID digital watermark, making it possible to identify content as AI-generated. This is an important difference that increases the transparency of model use.

Conclusion

Veo by Google DeepMind is one of the most advanced neural networks for generating video from text prompts and images. The high quality of output material, accurate physics simulation, support for resolutions up to 4K, and understanding of complex cinematic prompts make the model a powerful tool for creative professionals and marketers. Core features are available free of charge, with a paid version expected in 2026. Currently, the neural network works only in English, but it already represents a serious alternative to leading competitors, including Sora by OpenAI.