Stitch is Google Labs' AI-native design canvas that turns natural language, sketches or screenshots into high-fidelity interfaces, then hands them off as front-end code, a Figma paste or an MCP connection. Built for designers exploring variations and founders shaping a first product.
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Stitch is a browser-based design tool from Google Labs that turns descriptions into working interface designs. You tell it what you want to build — in ordinary sentences, or by uploading a sketch or a screenshot — and it produces a high-fidelity user interface along with the front-end code behind it.
Google describes the current product as an AI-native software design canvas that allows anyone to create, iterate and collaborate on high-fidelity UI from natural language. That phrasing marks a deliberate shift. When Stitch first appeared it was closer to a generator: you asked for a screen, you got a screen. It is now positioned as a workspace where an entire product concept can be explored, restructured, and carried forward.
The problem it targets is the seam between design and engineering. Google's launch announcement framed it directly: Stitch is a new experiment from Google Labs that allows you to turn simple prompt and image inputs into complex UI designs and frontend code in minutes. The premise is that the handoff — the part where a picture of an interface has to become an actual interface — is where most of the manual effort has traditionally gone.
Stitch was announced at Google I/O on 20 May 2025. The launch post notes an origin story worth mentioning because it explains the product's shape: Stitch was born of an idea between a designer and an engineer, both looking to build a product that optimized their respective workflows. That two-sided authorship shows in the output, which is simultaneously a design artifact and a code artifact.
There is also a lineage that is widely repeated but worth verifying rather than taking on trust. Stitch is commonly described as the rebranded successor to Galileo AI, an independent AI interface-generation startup. Checking the original domain directly confirms the connection: usegalileo.ai now redirects across to Stitch's own address, meaning the earlier product's web presence has been folded into this one entirely. That redirect is solid evidence of continuity. The commercial specifics — timing, terms, structure of any acquisition — have not been detailed by Google in any official post, and secondary accounts disagree with each other, so this page does not state them.
Because a great many AI tools adopt names or domains suggesting an association with a major model provider, it is worth stating plainly that this one is genuinely Google's. The site's own metadata states plainly that Stitch generates UIs for mobile and web applications, making design ideation fast and easy. It runs on withgoogle.com, a domain Google itself controls; the service is announced in the first person on both Google's developer blog and the main Google blog; its official skills library sits under the google-labs-code organisation; and the site is served from Google's own infrastructure. This is a first-party Google product, not a third party trading on the name.
The primary input is ordinary language, and the level of detail you can specify goes beyond structure. Google's guidance is to describe the application you want to build in plain English, including details like color palettes or desired user experience. In other words, aesthetic direction and intended feel are part of the prompt surface, not just the list of screens and components.
The newer canvas pushes this further, encouraging you to begin from intent rather than layout. Google's framing is that instead of starting with a wireframe, you can start by explaining the business objective you're hoping to achieve, what you want your users to feel, or even examples of what's currently inspiring you. This is the meaningful difference between the current product and a template picker: it is designed to take an unformed intention as its starting point.
Visual input is a first-class path, not an afterthought. As the launch post puts it: Have a design sketch on a whiteboard, a screenshot of a compelling UI, or a rough wireframe? Upload it to Stitch. A photograph of a whiteboard becomes a structured digital interface — which matters because the earliest, most valuable stage of design work usually happens on surfaces that are not software.
The current version replaces the single-output view with a canvas built for divergence and convergence. What distinguishes it from a conventional design surface is the range of material it will accept as context: it allows you to bring your ideas regardless of the shape they take — images, text or even code — directly to the canvas as context. Code sitting alongside mockups as an input, rather than only as an output, is the unusual part.
The canvas is paired with a design agent that reasons over the whole project rather than a single prompt. Google describes it as a brand new design agent that can reason across the entire project's evolution, accompanied by an Agent manager for pursuing several directions at once. The practical benefit is continuity: the agent has access to what you already rejected and why, which is precisely the context that gets lost when each generation starts from zero.
Consistency across screens is handled through an explicit, portable artifact. Per Google, you can easily extract a design system from any URL, or use the new DESIGN.md — an agent-friendly markdown file — to export or import your design rules to or from other design and coding tools.
Two things here deserve attention. Extracting a system from any URL means an existing product's visual language can be captured without manual documentation. And expressing that system as markdown — rather than as a proprietary binary — makes it readable by other agents and tools, and reviewable by humans in a diff. For teams that keep design decisions under version control, that format choice matters more than it first appears.
Static output becomes a clickable flow without a separate prototyping step: screens are connected and a play control previews the journey. The more notable capability is generative rather than mechanical — Stitch can automatically generate logical next screens based on the click, mapping out user journeys effortlessly. Rather than only linking screens you already made, it will propose the screen a given action ought to lead to.
The agent can be spoken to. Google describes it as able to give you real-time design critiques, design a new landing page by interviewing you, and make real-time updates. The interviewing behaviour is the interesting inversion: instead of you specifying requirements up front, the tool elicits them through questions — closer to briefing a collaborator than filling in a form.
Stitch has always been built to hand work onward rather than trap it. From launch, generated designs could be pasted into Figma for further refinement, collaboration with design teams, and integration into existing design systems, and front-end code could be exported directly.
The current version adds programmatic access: using the recently released Stitch MCP server and SDK, you can leverage Stitch's capabilities via skills and tools, with exports to developer tools including AI Studio and Antigravity. The official skills library follows the Agent Skills open standard and lists compatibility with coding agents such as Codex, Antigravity, Gemini CLI, Claude Code, Cursor, and OpenCode. Notably, that compatibility list spans competing vendors rather than being confined to Google's own tooling.
On adoption, one figure is worth correcting. Google's March 2026 post cites the skills library at 2.4k stars. Checking the repository directly at the time of writing shows 8.2k stars, 1.1k forks and 98 commits — the published figure was a snapshot that has since been overtaken. The direct measurement is the one used here.
Independent hands-on reporting from the launch confirmed that users can choose between Google's Gemini 2.5 Pro and Gemini 2.5 Flash AI models to power Stitch's code and interface ideation, letting you trade speed against depth per task.
The strongest fit is the divergent phase, when the goal is volume and range rather than polish. Google positions the canvas around the reality that you often diverge and converge before landing on something great, and the Agent manager exists to keep parallel explorations organised.
Founders, product managers and engineers frequently need something concrete to react to and cannot produce it in a professional design tool. Google names this audience explicitly, describing the product as serving both a professional designer looking to explore dozens of variations and a founder manifesting your first software idea.
Sketches photographed after a working session can be converted into structured screens, preserving thinking that would otherwise be retyped or lost.
Extracting a design system from a URL and reapplying it — or carrying a DESIGN.md between projects — suits teams that already have an established look and want new surfaces to match it without rebuilding the rules by hand.
Because the MCP server and skills work with several coding agents, Stitch can serve as the design stage of an automated pipeline: interface decided here, implementation carried onward by the agent already in use.
Production design work is the clear exception, and the strongest statement of that limit comes from Google's own product manager rather than from critics. It is covered in Limitations below.
Give it reference rather than adjectives. Words like "clean" or "modern" mean little; an uploaded screenshot or an extracted design system communicates far more precisely.
Diverge before you judge. The product is built to make many attempts cheap. Settling on the first plausible screen wastes the one thing it is unambiguously good at.
Check flows, not screens. A set of individually reasonable screens can still make an incoherent journey, and the play control is the fastest way to see that.
Keep DESIGN.md under version control. Because it is markdown, design decisions can be reviewed in a diff and travel between projects and tools like any other source file.
Expect to finish elsewhere. Plan the handoff — to Figma, to code, to an agent — as part of the workflow rather than as a fallback.
Do not build a dependency you cannot absorb. This is a Labs experiment, and the section below explains why that should shape how much process you attach to it.
Professional designers using it for early exploration — generating dozens of directions quickly, then taking the promising one into a production tool.
Founders and solo builders who need to make an idea concrete and shareable without a designer or a design background.
Product managers producing something specific enough to argue about, replacing ambiguous written specs with a screen people can react to.
Front-end engineers who want a reasonable starting interface without waiting on design capacity, and who can take generated markup as scaffolding.
Teams using coding agents, for whom the MCP server and cross-vendor skills make Stitch a design stage inside an existing automated workflow.
Enterprise design teams with production requirements are the group that should read the limitations first. Nothing here is a substitute for a mature design system, multiplayer editing, or a governed handoff process.
Stitch runs in the browser at stitch.withgoogle.com; Google's announcement directs users there. No desktop or mobile application is documented.
Programmatic access is available through the MCP server and SDK, and the official skills library on GitHub supports installation into several coding agents. Exports reach Figma by paste, developer tools including AI Studio and Antigravity directly, and any tool that reads markdown via DESIGN.md.
One gap is worth flagging: there is no dedicated Stitch help centre or product-specific documentation site. Attempts to reach product-specific terms or support pages resolve either to shell pages or to Google's generic help index. Support expectations should be set accordingly.
Stitch is offered as a Google Labs experiment. Neither Google's launch announcement nor its March 2026 post lists any subscription tier, price point, or paid upgrade path, and the product page itself is a JavaScript-rendered shell from which no pricing information can be read.
Some third-party articles state specific monthly generation quotas. Those numbers do not appear in any Google source that could be located, so they are not repeated here. What can be said accurately: the product is free to use as a Labs experiment, usage limits do exist in practice, and the current figures should be read from within the product rather than from secondary write-ups.
As a Google service it falls under Google's general Terms of Service, which reserve the right to change services over time. There is no published service-level commitment for this product.
The natural comparison is Figma, but the honest framing is that they solve adjacent problems. Figma is where production design work lives — component libraries, multiplayer editing, mature developer handoff. Stitch is where a direction gets found. The Paste to Figma path exists precisely because Google expects work to continue there.
Independent reporting placed Stitch within the broader vibe coding movement, alongside a number of large tech startups going after the burgeoning market, including Cursor maker Anysphere, Cognition, and Windsurf. Those tools generate applications from description; Stitch stops at the interface layer and hands off, which makes it complementary to them as often as competitive.
Its most distinctive advantages against either group are the cross-vendor agent compatibility, the portable markdown design system, and the price. Its clearest disadvantage is its experimental status.
The most authoritative statement of scope comes from inside Google rather than from reviewers. In a hands-on demo with TechCrunch, a Google product manager stated that while Stitch is reasonably powerful, it isn't meant to be a full-fledged design platform like Figma or Adobe XD, and characterised the intended role as somewhere you can come and get your initial iteration done, and then you can keep going from there.
This is unusually clear vendor guidance and should carry more weight than any third-party assessment: the team building the product does not claim it replaces production design tooling. Independent reporting reached a consistent conclusion, noting it is a bit more limited in what it can do compared to some other vibe coding products, but there are a fair amount of customization options.
Stitch is a Google Labs project and has remained one. Labs exists to test ideas publicly, which means the interface, the capabilities and the availability can change without the guarantees attached to a supported product. The March 2026 release was a complete redesign of the interface — welcome, but also a demonstration that substantial change is normal here.
Google's general terms note that services change over time, and no product-specific service-level commitment is published. There is also no Stitch-specific support channel or documentation site. For casual and exploratory use this matters little; for a team considering building process around it, it is the central risk.
Unlike commercial design tools, Stitch has no meaningful body of independent user ratings. Because it is free and requires no procurement, it does not appear in the enterprise review platforms where such data accumulates, and no substantial independent review profile could be located.
This deserves a specific warning. Searching for reviews of this product returns a large volume of pages that look like evaluations but are search-optimised content or competitor-adjacent marketing, published without named authors or disclosed testing methodology. Several of them assert specific figures — usage quotas in particular — that cannot be traced to any Google source. Where this page reports no number, it is because no verifiable number was found, not because the research stopped early.
The one genuine adoption signal available is the official skills repository, measured directly: 8.2k stars and 1.1k forks. That indicates real developer interest in the integration surface, though it says nothing about designer satisfaction with output quality.
Following from Google's own positioning, generated interfaces should be treated as first drafts. Anything with accessibility obligations, brand compliance requirements, or edge-case states will need work that this tool is not designed to perform. Generated front-end code likewise warrants the review any generated code warrants before it reaches production.
The product optimises for generating and regenerating rather than fine manipulation. Adjusting a specific element precisely is not what the interface is built around, which is why the handoff paths to Figma and to code exist. If your task is a small precise change to an otherwise finished design, this is the wrong stage of tool.
Output depends on which Gemini model is selected and, as with any generative system, results vary between runs on the same prompt. Reproducing an exact previous output is not guaranteed. The design agent's project-wide context mitigates this within a project but does not eliminate it.
There is no Stitch-specific privacy addendum that could be located. Data handling falls under Google's general Terms of Service and Privacy Policy, which state that the privacy policy explains how personal information is treated across Google services, and that users retain ownership of intellectual property rights in content they upload. Teams with strict confidentiality obligations should evaluate against those general policies rather than expect product-specific commitments, and should note that no such commitments are published for this product.
Yes. It is a Google Labs product announced by Google at I/O 2025, running on Google's own withgoogle.com domain, with its official skills repository under the google-labs-code organisation. It is a first-party product, not a third-party tool using Google's name.
It is offered as a free Google Labs experiment. No subscription tiers or prices are published in any Google source. Usage limits exist but the specific figures are not published by Google, so check within the product rather than relying on third-party numbers.
No, and Google says so directly. A Google product manager stated it is not meant to be a full-fledged design platform like Figma or Adobe XD, and the built-in Paste to Figma path exists specifically so work can continue there.
Plain-language descriptions including colour and experience direction, images such as whiteboard sketches, screenshots and wireframes, reference code, and design systems extracted from any URL or imported from a DESIGN.md file.
Four routes: paste into Figma, export front-end code, connect through the MCP server and SDK, or export directly to developer tools including AI Studio and Antigravity.
Google's Gemini models, with a documented choice between Gemini 2.5 Pro and Gemini 2.5 Flash to trade capability against speed.
An agent-friendly markdown file holding your design rules, which can be exported or imported between Stitch projects and other design and coding tools. Being plain markdown, it is diff-friendly and readable by other agents.
Yes. Screens can be connected and previewed as an interactive flow with a play control, and it can automatically generate logical next screens based on a click.
Cautiously. It is a Labs experiment without a published service-level commitment, without a dedicated support channel, and it was substantially redesigned in March 2026. Suitable for exploration; treat structural dependence on it as a risk you are consciously accepting.
The earlier independent product's domain, usegalileo.ai, now redirects to Stitch, which confirms the continuity directly. Google has not published details of the acquisition itself, and secondary accounts conflict, so specifics beyond that redirect are not stated here.
