Independent tool overview

Stitch at a glance

Google Stitch is an experimental AI-native design canvas for generating and refining web and mobile interfaces from natural language, images, code, and voice. It can create interactive flows, carry design-system context, and hand work to tools such as Google AI Studio, Antigravity, Netlify, Figma, or an MCP client. It is excellent for fast exploration, but generated interfaces and code still need accessibility, security, responsiveness, and engineering review before production.

Visit the official Stitch site ↗

Developer: Google Labs
Product type: AI-native UI design canvas
Inputs: Text, images, voice, code, URLs, and design files
Outputs: UI screens, prototypes, assets, and frontend code
Account: Google sign-in required
Web access: No standalone paid plan advertised
MCP access: Free of charge; authentication required
Product status: Experimental Google Labs service
Last reviewed: August 31, 2026

Overview

What Stitch is

Stitch began as a Google Labs experiment for converting prompts and wireframes into UI designs and frontend code. Google expanded it in 2026 into an infinite canvas with a design agent that reasons across the evolution of a project rather than treating every screen as an isolated generation.

Creators can place text, images, and code directly on the canvas, describe the product objective or desired feeling, and generate multiple directions. Voice interaction supports live critique and revisions, while an Agent Manager helps organize parallel concepts.

For consistency, Stitch can extract a design system from a URL or exchange an agent-friendly DESIGN.md file with other tools. Screens can be connected into clickable prototypes, and Stitch can infer logical next screens to make flow exploration faster.

The handoff surface now spans shareable AI Studio links, Antigravity export, Netlify publishing, downloadable screen assets and HTML through Stitch MCP, and the earlier paste-to-Figma workflow. These bridges accelerate a prototype; they do not validate business logic, data handling, dependency safety, semantic HTML, accessibility, browser support, performance, or maintainability.

Use cases

Who Stitch is best for

The strongest fit depends on the job you need the product to complete, not the size of its feature list.

Early product exploration

Turn a product brief into several interface directions before investing in high-fidelity manual design.

Wireframe digitization

Use screenshots, sketches, or rough wireframes as context for a more polished screen.

Interactive flow prototyping

Connect generated screens and preview a user journey without first building the full application.

Design-to-development handoff

Move visual context, HTML, assets, or design rules into Figma, AI Studio, Antigravity, Netlify, or MCP-compatible tools.

Capabilities

Core Stitch features

Infinite AI design canvas

Combines text, images, code, and generated screens in a flexible workspace for divergent and convergent exploration.

Design agent and Agent Manager

Reasons across project context and tracks multiple design directions in parallel.

Real-time text and voice steering

Streams changes to the canvas and accepts spoken critique or revision requests while ideas are developing.

Design-system context

Can extract rules from a URL and import or export DESIGN.md for reuse across projects and coding tools.

Interactive prototypes

Links screens into clickable journeys and can propose logical next screens from interactions.

Frontend and design exports

Supports downstream handoff to developer and design environments, including HTML and image retrieval through MCP.

Stitch MCP and SDK

Lets agents list projects and screens, generate screens, and retrieve assets through authenticated integrations.

Process

How the Stitch workflow works

Step 1
Write the product brief
Define the audience, primary task, business objective, information hierarchy, target devices, accessibility needs, and existing brand constraints.
Step 2
Add trusted context
Bring a wireframe, design file, approved URL, codebase, or DESIGN.md into the canvas without exposing secrets or confidential customer data.
Step 3
Explore several directions
Generate contrasting layouts and use the design agent or voice critique to challenge hierarchy, density, navigation, and interaction assumptions.
Step 4
Build and test the flow
Connect screens, preview the journey, and run realistic content through loading, empty, error, permission, and destructive-action states.
Step 5
Choose a handoff path
Transfer the selected work to Figma for design refinement or to AI Studio, Antigravity, Netlify, or an MCP workflow for implementation.
Step 6
Engineer for production
Review every generated asset and line of code, rebuild insecure or brittle pieces, add real backend logic, and test accessibility, security, performance, analytics, and responsive behavior.

Cost

Stitch pricing and free plan

Google does not advertise a standalone paid Stitch subscription on the public product or announcement pages. The web experiment is accessible with a Google account and subject to in-product availability and generation limits. Google's official Stitch extension says MCP use is free of charge; Google Cloud, model, hosting, Figma, Netlify, or other downstream services may create separate costs.

Stitch web app

No standalone fee advertised

Use the Google Labs design canvas with a signed-in Google account and the limits shown in the product.

Generation limits can change
No dedicated enterprise plan or SLA is published
Availability can depend on region, account, and feature rollout

Stitch MCP

Free of charge

Connect supported agent tools to Stitch projects and screen-generation capabilities.

Requires an API key or Google Cloud authentication
Application Default Credentials require a Cloud project and permissions
Protect API keys and rotate exposed credentials

Downstream services

Varies

Hosting, cloud projects, AI Studio, Antigravity, Figma, Netlify, and other production tools have their own terms and possible charges.

Review each provider separately
Cloud billing may be required for some developer workflows
A free Stitch prototype does not make the deployed application free

Pricing checked August 31, 2026. Check current pricing at the source ↗

Assessment

Stitch strengths and limitations

Where it stands out

Moves quickly from a plain-language brief to high-fidelity interface concepts
Accepts richer context than prompt-only UI generators
Supports broad exploration and project-level reasoning on one canvas
Interactive screen flows make prototypes easier to evaluate
Voice critique can keep iteration in the design context
DESIGN.md provides a portable design-system artifact
Multiple export and MCP paths reduce design-to-code handoff friction
Backed by actively updated Google Labs development

What to consider

Stitch is explicitly experimental and its features, quotas, models, and availability can change
No standalone enterprise plan, uptime guarantee, or support SLA is publicly advertised
The product does not replace user research, information architecture, or product strategy
Generated screens can be visually polished while still missing essential states and edge cases
Generated code requires line-by-line human review before production
Authentication, authorization, input validation, secrets, storage, payments, and backend logic need separate implementation
Accessibility is not guaranteed; keyboard flow, semantics, contrast, focus behavior, labels, motion, and screen-reader output must be tested
Responsive layouts need verification across real viewport sizes and content lengths
Imported URLs, codebases, design files, images, and prompts may contain confidential or personal information
Users should review the current Stitch Privacy Notice before submitting proprietary work
Copying an existing site or design can create copyright, trademark, or trade-dress risk
MCP and API keys are credentials and should never be committed to source control or shared in prompts
Figma, AI Studio, Antigravity, and Netlify handoffs can change structure or behavior and need visual comparison
One-click publishing can expose placeholder content, broken links, insecure forms, or unreviewed generated code
A prototype that looks functional may not have durable data, monitoring, backups, analytics, or error recovery

Compare

Stitch alternatives

The right alternative depends on the specific output, workflow, controls and budget your project requires.

Design

Figma AI

Best when the team already works in Figma and needs AI assistance inside a mature collaborative design environment.

Explore Figma AI →

Design

Vercel v0

A strong alternative for prompt-to-interface work that moves directly toward React and deployable web application code.

Explore Vercel v0 →

Coding

Lovable

Better suited to users who want the AI builder to assemble more of a full-stack application rather than focus first on design exploration.

Explore Lovable →

Questions

Stitch FAQs

What is Google Stitch?

Stitch is Google's experimental AI design canvas for creating, refining, prototyping, and exporting web and mobile interfaces from text, images, code, design files, URLs, and voice.

Is Google Stitch free?

Google does not advertise a standalone paid Stitch subscription on its public pages. The web app is accessible with a Google account and in-product limits, and the official Stitch MCP extension says MCP use is free of charge. Connected cloud, hosting, and design services may cost extra.

Does Stitch generate code?

Yes. Stitch can generate frontend code and its MCP tooling can retrieve screen HTML and assets. Treat that output as a starting point: engineers still need to review, adapt, secure, test, and maintain it.

Can Stitch export to Figma?

Google's original Stitch launch documented paste-to-Figma. The newer product also emphasizes AI Studio, Antigravity, Netlify, DESIGN.md, MCP, and SDK handoffs. Check the current project menu because export options can change during Labs development.

Can Stitch build a complete production app?

Not by itself. It can create a sophisticated interface and prototype, but production software also requires verified backend logic, authentication, authorization, data design, security, accessibility, testing, monitoring, and ongoing maintenance.

Can Stitch use an existing design system?

Yes. Google says it can extract a design system from a URL and import or export DESIGN.md. Teams should verify generated tokens and components against the canonical design system before merging them.

What is Stitch MCP?

It is an authenticated Model Context Protocol interface that lets compatible agents list Stitch projects and screens, generate screens, and download HTML or image assets. It can use a Stitch API key or Google Cloud credentials.

Is it safe to upload a private codebase or unreleased design?

Only after reviewing the current Stitch Privacy Notice and your organization's data policy. Remove credentials, customer data, internal URLs, and unnecessary proprietary material, and use the least sensitive context that can produce the result.

Who should review a Stitch-generated interface?

At minimum, a product owner, designer, engineer, and accessibility reviewer should validate the result. Add security, legal, privacy, and domain specialists when the application handles sensitive data, regulated decisions, payments, or public publishing.

Bottom line

Our Stitch verdict

Google Stitch is a compelling design accelerator because it now covers exploration, critique, prototyping, design-system context, and several development handoffs in one AI-native canvas. Use it to expand and narrow ideas quickly, then deliberately switch modes: the selected design needs normal product validation and the generated implementation needs full engineering review before it earns production trust.

Visit Stitch website ↗

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