How to Use Google Stitch to Build a Website Design System in Minutes

What Google Stitch Actually Is

Google Stitch is an AI-powered UI design tool from Google Labs that generates multi-screen prototypes and design systems from a text prompt or a URL. It launched in May 2025 as part of a broader wave of Gemini-powered tools, and it changes the early stages of product design in a meaningful way.

The core workflow: instead of building a design system from scratch in Figma or coding components by hand, you describe what you want — or point at a website you like — and Stitch generates screens, design tokens, and component styles for you. The whole thing can take five to fifteen minutes for an initial prototype.

Three capabilities make it worth understanding in depth:

URL-based design extraction — paste any publicly accessible URL and Stitch analyzes the visual design language: colors, typography, spacing, and component style.
Multi-page prototype generation — it generates coherent multi-screen flows, not just a single mockup, with consistent design tokens across every page.
Code export — when you’re done, you can export your design as React components or send it directly to Google AI Studio for further development.

This isn’t a Figma replacement. But for establishing a visual direction quickly, validating an idea, or handing something concrete to a developer, it’s fast in ways most traditional tools aren’t.

Getting Access to Google Stitch

Stitch is available through Google Labs at stitch.withgoogle.com. You’ll need a standard Google account to sign in — no enterprise plan, no waitlist in most regions at the time of writing.

It runs on Gemini 2.5 Pro under the hood, and Google is covering inference costs during the Labs phase. So for now, it’s free to use.

What you need before starting:

A Google account
A modern browser (Chrome works best)
Either a URL you want to extract a design system from, or a rough idea of what you want to build

No design software installed. No API keys. No setup beyond signing in.

Step 1: Extract a Design System from a URL

This is Stitch’s most immediately useful feature for teams working with an existing brand or wanting to match a visual direction they’ve seen elsewhere.

How the extraction works

When you paste a URL into Stitch, Gemini 2.5 Pro analyzes the rendered visual output of that page. It identifies:

Color palette — primary, secondary, accent, background, and text colors
Typography — font families, sizes, weights, and line heights across headings and body text
Spacing and layout — the grid structure, padding conventions, and margin patterns
Component style — button shapes, card styles, border radii, shadow depth, and other repeated UI characteristics

Stitch bundles all of this into a design system you can use as the foundation for generating new screens.

The steps

Go to stitch.withgoogle.com and sign in with your Google account.
Start a new project from the main interface.
Paste a URL into the input field. This works best with live, publicly accessible pages — not pages behind a login or paywall.
Hit enter or click the generate button.
Stitch fetches and analyzes the page. This typically takes 15 to 45 seconds.
You’ll see the extracted design tokens — colors, fonts, spacing — along with an initial screen generated in that visual style.

What you can do with the extracted system

Once Stitch pulls the design tokens, you have a few options:

Use them as-is and start generating new screens immediately
Review and adjust individual tokens — swap a color, change a font size — before generating
Describe the type of product you want to build, and Stitch applies the extracted style to new screens

This is practical for building a prototype that matches an existing brand, creating a design system reference for a client’s current site, or exploring how a different visual style might look applied to your own content.

Step 2: Generate a Multi-Page Prototype

Once you have a design system — whether extracted from a URL or built from a prompt — you can start generating screens.

Starting from a prompt instead of a URL

If you’re not extracting from an existing site, you can describe what you want directly. Stitch accepts natural language:

“A SaaS dashboard for tracking marketing campaign performance with a dark sidebar and card-based layout”
“An e-commerce product page with a minimalist aesthetic, large product images, and a sticky add-to-cart button”
“A mobile onboarding flow with three steps: account creation, profile setup, and feature tutorial”

The more specific your prompt, the better the output. Mention layout preferences, color tone, target device (mobile vs. desktop), and the type of product you’re building.

Adding screens to build a multi-page flow

After generating an initial screen, you can add more pages that maintain visual consistency:

In the project view, click to add a new screen.
Describe the new page — for example, “a settings page” or “a checkout confirmation screen.”
Stitch generates it using the same design tokens established in your project, keeping colors, typography, and component styles consistent.

You can keep adding screens this way. Each one references the project’s shared design system, so you don’t end up with visual drift between pages — a common problem when building prototypes in stages or across different sessions.

Iterating with follow-up prompts

Stitch is conversational. After generating a screen, you can refine it with plain language:

“Make the header more compact”
“Change the card grid to a list view”
“Add a navigation bar at the bottom for mobile”
“Shift the color scheme warmer — more amber tones”

Each instruction updates the specific screen without breaking what you’ve already built. You can also apply global changes across all screens — useful for switching from a light theme to dark, or changing your primary typeface.

Step 3: Export to React or Send to AI Studio

Getting the design out of Stitch and into something a team can actually use is straightforward. There are two paths.

Exporting to React

Stitch can export your UI as React component code. This isn’t production-ready code in the sense of shipping to customers tomorrow — but it’s a solid structural starting point for a developer.

To export:

Open the screen or project you want to export.
Find the export option in the top menu or project settings.
Select React as the output format.
Download the generated files.

The output includes JSX component files and accompanying styles (typically inline or a companion CSS file). If your team uses a component library like Tailwind or Material UI, you’ll need to adapt the code — but the layout structure and component hierarchy come through intact.

This is genuinely more useful than handing off a static mockup. A developer gets a working component structure to build on rather than something they have to interpret and build from scratch.

Sending your design to AI Studio

The more interesting option for teams building AI-powered products is pushing the design directly to Google AI Studio.

In AI Studio, the exported design becomes a foundation for:

Adding logic and interactivity
Connecting external data sources
Integrating Gemini API calls directly into the interface
Testing how the UI responds to different model outputs

This workflow makes sense when you’re building an application that has Gemini-native functionality — the design and the AI layer stay in the same ecosystem from the start.

To export to AI Studio:

In your Stitch project, select the AI Studio export option.
Sign in to AI Studio if prompted.
The design opens as a new project in AI Studio, where you can wire up Gemini-powered features.

Tips for Getting Better Results

A few things that make a real difference in output quality:

Be specific in your initial prompt. “A dashboard” produces something generic. “A B2B analytics dashboard with a dark sidebar, card-based KPI layout at the top, and a data table below” gives Stitch enough to work with. Specificity in the first prompt saves multiple rounds of correction later.

Use clean, simple URLs for extraction. Pages with heavy overlays, cookie banners, login walls, or content that loads via JavaScript after page render can confuse the extraction process. Marketing sites and landing pages work best. Complex SaaS dashboards often have design systems too layered for Stitch to extract cleanly.

Treat the first output as a draft. Don’t judge Stitch on the first screen. It’s built for iteration — plan on two or three rounds of refinement before deciding whether the direction works.

Establish your design system early. If you’re building a multi-page prototype, lock in your design tokens before generating additional screens. Making sweeping changes mid-project on a per-screen basis breaks the visual coherence that makes Stitch’s multi-page output valuable.

Check typography early. Font pairing is an area where AI-generated designs can fall flat. Review heading and body text combinations after your first screen. If something feels off, fix it at the design system level before generating more screens — it’s much easier than correcting it per-screen afterward.

Common Mistakes to Avoid

Treating the React export as production code. Stitch exports are structural starting points. Plan for a developer to review, refactor, and integrate with your actual component library and data layer before anything ships.

Skipping the design token review after URL extraction. Always check what Stitch extracted before generating screens. If it misidentified a color or grabbed the wrong font, correct it at the token level. Fixing it per-screen is slower and inconsistent.

Iterating when a fresh start would be faster. If the initial layout is fundamentally wrong for what you need, it’s sometimes quicker to start a new screen with a different prompt than to iterate your way from a bad starting point through multiple corrections.

Assuming AI Studio is required. Exporting to AI Studio makes sense for Gemini-native builds. If your team is using a different stack, the React export route is cleaner — don’t force the AI Studio workflow if it doesn’t fit.

Adding AI Workflows Behind Your Stitch Design

Stitch handles the front-end — screens, design tokens, React exports. But a prototype only becomes a working product when there’s real logic and AI functionality behind it.

That’s where MindStudio fits naturally.

MindStudio is a no-code platform for building AI agents and automated workflows. Once you’ve exported your Stitch design and handed it off, you can use MindStudio to build the AI-powered backend that the interface needs — without writing backend code yourself.

Say your Stitch design is a content operations dashboard. You could build a MindStudio workflow that:

Accepts a topic brief from the interface as input
Runs it through a Gemini or Claude model to generate a structured draft
Formats and quality-checks the output
Returns it to your app via a webhook or API endpoint

MindStudio supports 200+ AI models out of the box — including the same Gemini models that power Stitch — so the two tools pair without friction. You design the interface in Stitch, build the AI logic in MindStudio, and connect them through MindStudio’s built-in API endpoints.

This combination — Stitch for front-end design, MindStudio for AI workflow automation — can take a product idea from rough prototype to functional AI-powered app in a day or two. And MindStudio’s visual builder is built for non-developers, so you’re not waiting on engineering resources to wire up the backend.

You can start building on MindStudio for free at mindstudio.ai.

Frequently Asked Questions

What is Google Stitch and how is it different from Figma?

Google Stitch is a generative UI tool from Google Labs that creates multi-screen prototypes using AI. You describe what you want or paste a URL, and it generates a consistent design system and screen layouts automatically. The key difference from Figma is that Stitch generates designs from natural language input — you’re not manually placing components and tokens. Figma is a full design and collaboration platform with deep prototyping, component libraries, and team features. Stitch is faster for early-stage ideation and design system setup, but it doesn’t replace Figma’s organization and collaboration capabilities.

Is Google Stitch free to use?

Yes, during the Google Labs phase, Stitch is free with a Google account. It runs on Gemini 2.5 Pro, and Google is absorbing inference costs during this period. No pricing for a future commercial version has been announced as of mid-2025.

How accurate is the URL design extraction?

It depends on the site. Clean, well-designed marketing pages and product landing sites extract well — Stitch accurately identifies color palettes, font pairings, and component styles. Complex enterprise applications, heavily branded sites with custom fonts, or sites with a lot of JavaScript-loaded content can produce less accurate extractions. Always review the design tokens after extraction before generating screens.

What does the React export from Google Stitch look like in practice?

The export produces JSX component files with accompanying styles. The layout structure and component hierarchy from your Stitch design come through clearly. It’s a working code foundation, not finished production code — a developer will typically need to integrate it with an existing component library (like Tailwind, shadcn/ui, or Material UI), connect it to real data, and clean up styling conventions. Think of it as a head start, not a finished hand-off.

Can Google Stitch generate mobile app designs?

Yes. In your prompt, specify mobile as the target layout, and Stitch generates screens appropriately sized and structured for mobile interfaces. You can also generate both mobile and desktop versions within the same project, which is useful when you need responsive design coverage from the start.

How does the connection between Google Stitch and AI Studio work?

Stitch includes a native export option to Google AI Studio. When you export, your design opens as a project in AI Studio where you can add Gemini API calls, build interactivity, and connect external data sources. The integration is designed specifically for teams building AI-native web apps — so you handle the visual design in Stitch and the AI logic in AI Studio, staying in one connected ecosystem.

Key Takeaways

Google Stitch uses Gemini 2.5 Pro to generate multi-screen UI prototypes from a text prompt or a URL — the core workflow takes minutes, not days.
The URL extraction feature identifies color palettes, typography, spacing, and component styles from any public webpage and turns them into a reusable design system.
Multi-page prototypes stay visually consistent because every screen pulls from the same design tokens established at the start of the project.
React exports give developers a structural starting point — useful for handoffs, but not production-ready without developer review and integration work.
The AI Studio integration is the most useful path for teams building Gemini-native applications — design the interface in Stitch, add AI logic in AI Studio.
To build AI workflow automation behind a Stitch-designed interface, MindStudio lets you create and deploy AI agents without backend code, connecting your UI to Gemini, Claude, or other models through API endpoints.

If you’re using Stitch to prototype your front-end, consider what needs to happen behind that interface. MindStudio handles the AI workflow layer — start free at mindstudio.ai.