Google AI Studio: everything you can do today with Gemini’s official development environment

A space to build, interact, and share in real time with generative AI.

Google AI Studio is no longer just a prompt editor. By 2025, it has evolved into a rich and layered environment where anyone — developers, analysts, designers, or technical users — can build, test, and iterate advanced applications powered by Gemini models. What changed the pace of interaction is the introduction of live features, such as screen sharing, real-time visual analysis, and continuous voice input.

All of this is available inside a clean, browser-accessible interface, at https://aistudio.google.com/

The transition of AI Studio from a simple prototyping playground to a comprehensive, multimodal laboratory reflects Google’s commitment to making generative AI accessible, practical, and collaborative for both experimentation and real-world deployment.

AI Studio lets you work directly with Gemini Pro, Flash, and Vision models.

Google AI Studio is a free and versatile platform that allows rapid prototyping of AI-powered solutions using the full suite of Gemini models. This includes Gemini Pro for text generation and reasoning, Gemini 2.5 Flash for faster and more lightweight deployments, and Gemini Vision for multimodal tasks involving both text and images. The web-based IDE (Integrated Development Environment) is designed for usability, letting you test prompts in natural language, upload images, or even work with combined multimodal inputs.

Key controls such as temperature, top-K, and top-P give fine-grained control over the creativity and variability of AI responses. Extended context windows allow users to experiment with long-form content or large sets of instructions, taking advantage of Gemini’s growing capabilities.

Every interaction can be exported as working code in Python, Node.js, Swift, or Kotlin, providing a bridge between experimental workflows and actual product development.

For each test session, you can save the context, revisit previous prompts, and compare results across models and parameter settings. This makes AI Studio not only a place to try out new ideas but also a structured workspace for systematic research and iterative application building.

Advanced users can directly integrate their workflows with Vertex AI, Google’s enterprise AI platform, enabling secure handling of private data, orchestration of machine learning pipelines, automated scaling, and robust versioning. For organizations, this means that what starts in AI Studio as a prototype can evolve seamlessly into a scalable production solution, using Google Cloud’s best-in-class infrastructure and security.

The new Live mode enables voice, screen, and camera for multimodal interactions.

The introduction of Gemini Live features in 2025 marks a significant expansion of what’s possible within AI Studio. The platform now supports not only traditional text-based prompt engineering but also real-time, human-like interactions that combine multiple channels of communication. Here’s what’s new:

Real-time screen sharing

With the screen sharing function, users can let Gemini “see” exactly what’s happening on their desktop, within a browser tab, or in a specific application window. This capability transforms the AI from a passive responder to an active collaborator: it can provide context-aware guidance as you work through tasks, troubleshoot problems as they appear, or walk you step-by-step through a complex process. For educators, trainers, and support professionals, screen sharing means you can offer live demonstrations, tutorials, and onboarding experiences where Gemini helps explain, summarize, or clarify what’s happening on screen. For developers, this feature is invaluable for debugging, reviewing code, or receiving instant feedback on UI and workflow design.

Live camera input

The mobile integration with Gemini on Android brings real-time camera sharing into the AI workflow. By activating the camera mode, users enable Gemini to process and analyze whatever the phone sees—documents, handwritten notes, objects, signage, or even complex scenes. This is not just a party trick: it unlocks capabilities such as live translation, instant data extraction, product identification, and scene understanding. Teachers can use it for live demonstration of physical objects; businesses can deploy it for inventory, retail assistance, or workplace safety; and individuals can receive contextual help wherever they are, simply by pointing their device’s camera.

Voice recognition and native audio output

Voice interaction is now a first-class feature in AI Studio. The platform supports natural, multi-language voice commands and provides voice replies in a clear, human-like tone. This is especially powerful for accessibility, hands-free use cases, and environments where typing isn’t practical. You can ask questions, issue commands, or have a natural conversation with Gemini, switching freely between text and voice. The AI can summarize spoken input, generate spoken instructions, or even act as an interpreter, making the environment fluid and responsive. Continuous updates in voice quality and latency ensure that interactions feel immediate and intuitive, closely mirroring human conversation.

The combination of these modalities—text, voice, screen, and camera—establishes AI Studio as a truly multimodal environment. This allows users to solve real problems in real time, breaking through the traditional boundaries of prompt-only AI tools.

Compatibility is broad, but rollout is still in progress for some devices.

One of Google’s strategic goals for AI Studio is inclusivity and broad compatibility, but the nature of advanced features means that access still varies by device and platform. At present, full Live features—including screen sharing and camera integration—are available primarily on the latest Android devices that support Gemini Live, such as Google Pixel 9, Samsung Galaxy S25, and flagship OnePlus models. These devices leverage Google’s latest hardware and software optimizations to deliver fast, reliable, and secure live AI experiences.

On desktop, the experience is nearly identical when accessed via Google Chrome in desktop mode. Users can share their screen, interact by voice, and even upload images without installing extra software. AI Studio’s browser-based nature ensures that updates and new features are delivered seamlessly.

For iOS and iPadOS users, and for older Android tablets, the rollout is ongoing. Google is gradually expanding support but acknowledges some limitations—such as session crashes or black screens in live mode—especially on older hardware or browsers. To ensure the best experience, Google recommends devices with at least 2 GB of RAM, a recent version of the operating system, and a stable internet connection. Even where Live mode isn’t fully available, users still have access to the core AI Studio features: prompt testing, code export, and multimodal experiments using text and image.

Organizations interested in deploying Gemini Live features at scale should check device compatibility lists and plan for phased adoption, especially in mixed-device environments.

AI Studio has become a control center for real-time AI operations.

Google AI Studio stands apart from casual chatbots by its design: it’s a professional tool, tailored for builders, researchers, and creators who want to push generative AI beyond simple Q&A. The platform’s philosophy is to transform ideas into operational solutions—whether that means developing custom agents, automating workflows, or integrating AI into broader business applications.

With the 2025 Live update, AI Studio becomes not just a prompt workspace but a collaborative hub where human and machine intelligence meet. The AI can observe what’s happening on screen, listen and speak naturally, analyze visual input, and provide context-rich assistance at every step. This shift allows teams to work together with the AI in the loop, not only iterating on code or text but also receiving immediate support during design, development, and deployment.

Integration with Vertex AI further enhances this workflow, giving organizations access to tools for version control, fine-tuning on private data, model monitoring, compliance, and scaling—all while maintaining security and reliability. The journey from prototype to production is now smoother, with fewer technical obstacles and a greater degree of control at each stage.

AI Studio has outgrown its origins as a simple experimentation playground. It is now the operational gateway to the Gemini ecosystem, built for advanced users who want a unified, multimodal, and collaborative AI environment—one that is ready not just for testing, but for real-world impact.

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