Google Notebook launches "Movie Style" Advanced Version, freely switch between American and Japanese anime styles

Google AI Note-taking Tool NotebookLM Launches Advanced Cinematic Video Version, Featuring Rich Dynamic Visuals and Artistic Style Switching

The new version replaces the simple narration slides of the previous release with AI-generated dynamic visuals, helping creators absorb complex data and switch between different artistic styles to produce various anime videos. This article is summarized from YouTuber Paul J Lipsky’s video “NotebookLM’s New Cinematic Videos Are GORGEOUS!”.

Cinematic Video Integration with Google AI Creation Tools

The cinematic style integration includes three major Google AI models: Gemini 3, Nano Banana Pro, and Veo 3, designed specifically for creators. These technologies enable the system to generate smooth animations and detailed visual effects, bringing static and dynamic content to life. In this framework, Gemini acts as a “creative director,” making hundreds of decisions on structure and style based on user-provided data and raw materials. The system automatically determines the most suitable narrative approach, visual tone, and video format, optimizing content for overall consistency.

To access the advanced features, users must log in with a Google account. Currently, the web and mobile versions are available only to paid subscribers of Google AI Ultra who are 18 or older. The service supports only English at launch but will soon be available to Pro 3 users.

The advanced version can generate contextually appropriate stories and convert styles into Japanese or American anime

The new cinematic style demonstrates significant improvements in artistic style commands. Users can instruct AI to generate videos with specific visual styles, such as Japanese or American anime. Compared to previous months, the new version no longer limits itself to simple image and voice-over presentations but can produce videos with deeper content.

For example, when creating Japanese travel vlogs or proper running technique tutorials, AI can accurately capture the style essence, understand the creator’s storytelling approach, and produce aesthetically pleasing visuals and dynamic graphics. Highly customizable, this capability allows creators to generate contextually relevant audio-visual content for topics like children’s education or art introductions, greatly enhancing the appeal and efficiency of information delivery.

Technical Challenges Still Need Overcoming

While the cinematic style achieves breakthroughs in visual aesthetics, there is still room for improvement in logical details and physical accuracy. According to YouTuber Paul J Lipsky’s tests, AI sometimes makes errors in handling physical connections of objects—for instance, in fishing tutorial videos, the fish line may not connect correctly to the rod, or the scale weight may display incorrectly. In some details, the AI might misjudge physical reality, such as turning a chocolate cookie into a cheese cookie. These flaws indicate that although AI-generated visuals are becoming more beautiful and smooth, understanding and replicating real-world physical laws still require further refinement.