InVideo and Google Cloud Work Together to Make Videos with AI

InVideo and Google Cloud have started working together. They will use artificial intelligence to help make videos and films. This new tool can help studios and companies create movies more easily and for less money.
By Newsroom | Technology, Business |

A new collaboration between InVideo and Google Cloud aims to redefine video production by integrating advanced artificial intelligence. This partnership seeks to equip studios, broadcasters, and agencies with tools to create high-quality films using AI, potentially reducing the complexities and costs associated with traditional filmmaking. The announcement, made in Delhi ahead of the India AI Film Festival, highlights a growing trend in the film industry towards leveraging AI for creative processes.

Evolution of Video Creation Tools

InVideo, a prominent cloud-based video creation platform, is deepening its alliance with Google Cloud. The core of this partnership involves InVideo utilizing Google Cloud's AI Hypercomputer infrastructure to train custom AI models for its clients. This move signifies a strategic effort to build a new generation of AI-powered filmmaking tools designed for enterprise-level production pipelines.

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Cloud to camera: InVideo and Google Cloud build an AI engine for modern filmmaking pipeline - 1

  • The collaboration integrates Google's cutting-edge AI models, including Gemini 2.5 Pro, Gemini 2.5 Flash, Imagen, and Veo 3, into InVideo's platform.

  • These AI models are intended to manage various stages of production, from initial script generation to the creation of full cinematic scenes.

  • The stated goal is to allow users to transform simple text prompts into complete videos, thereby streamlining the production process.

Key AI Technologies Driving the Partnership

The InVideo and Google Cloud collaboration hinges on the integration of several advanced AI technologies, each serving a distinct purpose in the video creation workflow:

  • Gemini 2.5 Pro and Gemini 2.5 Flash: These models are designed to act as the "creative intelligence layer." Their functions include interpreting user intent, researching topics, drafting scripts, and generating detailed storyboards.

  • This aims to automate the initial conceptual and planning phases of video production.

  • Imagen and Gemini 2.5 Flash Image: These are responsible for creating visual assets. They are expected to generate photorealistic images and visual elements based on the script and storyboard.

  • The inclusion of image generation models suggests a focus on visual fidelity.

  • Veo 3: Described as Google's state-of-the-art video generation model, Veo 3's role is to convert scripts and visual assets into cinematic narratives.

  • This model is positioned as the engine for transforming abstract concepts into finished video sequences.

Redefining Production Pipelines

This strategic alliance aims to establish enterprise-grade production pipelines capable of producing long-form, studio-quality films. The intended beneficiaries include major studios, broadcasters, advertising agencies, and large production houses.

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Cloud to camera: InVideo and Google Cloud build an AI engine for modern filmmaking pipeline - 2

  • The partnership allows InVideo to leverage Google Cloud's robust AI stack, including advanced Tensor Processing Units (TPUs) and Graphics Processing Units (GPUs).

  • This integration is designed to handle the technical complexities of AI-driven video creation, freeing up creators to concentrate on their artistic vision.

  • The overarching objective is to democratize video creation globally, ushering in a new era of digital storytelling.

Industry Impact and Competitive Landscape

The development occurs against a backdrop of rapid advancements in generative AI for video. While the Google-InVideo partnership focuses on an end-to-end, production-ready workflow, other entities are also pushing the boundaries of AI-generated content.

  • Tools like OpenAI's Sora 2 are mentioned as setting new benchmarks for raw generative quality.

  • The competition emphasizes the need for increasingly sophisticated AI solutions that offer integrated audio, enhanced controllability, and consistency across complex instructions.

  • This competitive pressure likely accelerates innovation within the AI video generation sector.

Expert Perspectives

Sanket Shah, Co-founder and CEO of InVideo, has stated that the partnership drives their goal to democratize video creation globally. He anticipates it will usher in a new era of digital storytelling.

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Karan Bajwa, President of Asia Pacific at Google Cloud, highlighted that the collaboration showcases the transformative potential of AI in content creation. He noted that the integration brings advanced generative AI capabilities to millions of users.

Conclusion and Future Implications

The collaboration between InVideo and Google Cloud represents a significant step towards integrating advanced AI into the mainstream video production process. By combining Google's AI models with InVideo's platform, the partnership aims to simplify complex workflows, making professional-quality video creation more accessible.

  • The focus on enterprise-level pipelines suggests a strategic move beyond individual creators to target larger production entities.

  • The partnership's success could influence how future films, advertisements, and digital content are produced, potentially reshaping industry standards.

  • Further developments will likely center on the practical application of these tools in real-world film production and their ability to meet evolving industry demands for quality and efficiency.

Sources

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Frequently Asked Questions

Q: What is the new partnership about?
InVideo and Google Cloud are working together to use AI for making videos. This will help make video creation easier and faster.
Q: How will this help people make videos?
They will use Google's AI tools to help write scripts, create images, and make full video scenes from simple text.
Q: Who will use these new tools?
This is mainly for big companies like movie studios, TV stations, and advertising agencies.
Q: Why is this important?
It can make making high-quality videos cheaper and simpler, helping more people tell stories with video.