Stitch by Google

Stitch is a free, browser-based AI UI design generator built by Google Labs. It converts plain-language text prompts, wireframe sketches, uploaded images, or spoken voice descriptions into complete web and mobile interface designs within seconds. Stitch is the direct successor to Galileo AI, the text-to-UI tool acquired by Google at Google I/O in May 2025, with the Galileo team now leading development under the Google Labs umbrella. The core problem Stitch solves is the blank-canvas bottleneck: the gap between an idea someone can clearly picture and an actual visual design they can show to stakeholders, developers, or investors.

Stitch supports two generation modes powered by different Gemini models: Standard mode uses Gemini 2.5 Flash for faster, lighter generation, while Experimental mode taps Gemini 2.5 Pro for higher-quality output at a slower pace. The tool generates up to five connected UI screens in a single prompt, exports directly to Figma as editable layers via its "Paste to Figma" feature, and outputs clean HTML/CSS, Tailwind CSS, or JSX code for developers who want to skip the design tool entirely. A March 2026 major update introduced an infinite canvas, a Voice Canvas feature for spoken design iteration, multi-screen simultaneous generation, and the Vibe Design concept where users describe a desired feeling or aesthetic reference rather than specific UI elements. An MCP server makes Stitch callable from developer coding environments, and a Firebase Studio integration creates an end-to-end Google ecosystem pipeline for teams building on Google infrastructure.

What Stitch creates in June 2026

The tool's output is a visual UI design delivered on an infinite canvas. A single prompt generates between one and five connected screen designs, with the AI suggesting logical next screens in a product flow. Users can request changes through follow-up text prompts, by drawing annotations directly on generated screens (the Annotate feature reads handwritten notes and circle callouts), or by speaking to the canvas through Voice Canvas. Designs can be connected with transition links to create clickable prototype flows, a capability added in the December 2025 Gemini update.

Theme management covers light and dark modes, color palettes, corner radius, and font choices, though all of these are applied to an auto-generated generic design system rather than an ingested brand kit. Asset types include standard mobile and web layouts, navigation patterns, form components, dashboard widgets, and list views. Export options are Figma (editable layers), HTML/CSS, Tailwind CSS, and JSX. The free tier allows 350 standard-mode generations and 50 experimental-mode generations per month, plus a daily credit system of 400 design credits and 15 redesign credits that resets at midnight UTC.

"You know that feeling where you've got an app idea so clear in your head you can practically see it? But the second you open a design tool, the whole thing evaporates? [Stitch] feels more like having a conversation with someone who actually understands what you're trying to build." - Janine Heinrichs, UX designer, Unite.AI, 2026

Where Stitch sits versus UX Pilot and Figma AI

UX Pilot and Figma AI represent two meaningfully different points of comparison, and the mechanical differences matter more than any generic "better UX" framing.

Against UX Pilot: UX Pilot generates nine or more screens per prompt versus Stitch's five, covers responsive breakpoints across desktop, tablet, and mobile in a single workflow, and critically supports uploading an existing design system so outputs conform to actual brand guidelines from the first generation. Stitch auto-generates a generic design system from scratch every time. UX Pilot also includes predictive heatmaps for design validation and two-way Figma synchronization; Stitch's Figma integration is export-only. For a solo founder exploring a first concept with no existing brand, Stitch's free access and zero-setup experience wins. For a product design team with an established design system needing production-ready flows, UX Pilot's ingestion capability removes a major rework step that Stitch cannot.

Against Figma AI: the core architectural difference is the starting assumption. Figma AI operates within existing design infrastructure. It reads your component library, respects your variables and tokens, outputs editable native Figma designs, and supports multi-user real-time collaboration. It is a power-up for teams already working in Figma professionally. Stitch generates from scratch, unconstrained by any existing system. This is both its strength (zero friction to start) and its weakness (outputs are generic without heavy prompting, with no mechanism to enforce brand guidelines). Stitch handles up to five screens simultaneously; Figma AI handles one frame at a time. The most-reported combined workflow: use Stitch for 0-to-1 ideation, generate ten concept directions in minutes with no design system constraints, export the strongest to Figma for 1-to-100 refinement and production polish.

Against Galileo AI (the predecessor): Galileo no longer exists as a standalone product. The domain redirects to Stitch. The Galileo team built the original text-to-UI concept and brought it into Google's Gemini-powered infrastructure. If you used Galileo before the acquisition, Stitch is where the team went.

"Stitch delivers functional, usable designs - not premium ones. The AI UI output feels like a colored wireframe rather than a polished mockup." - Vlad Solomakha, product designer, Banani, 2026

The credit and pricing reality

Stitch is completely free as of June 2026. No paid tier exists, and no credit card is required. A Google account is the only requirement. The free access level is genuine, not a restricted trial with aggressive upsell pressure.

The limits are real, however. Standard mode caps at 350 generations per month; Experimental mode (Gemini 2.5 Pro) caps at 50. The daily credit system adds a second constraint: 400 design credits and 15 redesign credits per day, with credits consumed based on prompt complexity. A simple single-screen prompt costs roughly 3 credits; a multi-screen flow with iterative follow-ups can cost double digits. Power users working across multiple client projects can burn through their daily and monthly limits within the first week of heavy use. There is no option to purchase additional credits. When you hit the limit, you wait for the reset.

Stitch remains a Google Labs experiment, which carries a specific pricing implication: the free model exists because this is an R&D product, not a commercial one. Multiple analysts expect paid tiers when and if Stitch exits Labs, with speculation pointing to pricing 30 to 50 percent below Figma's current rates. No announcement has been made. Teams building workflow dependencies on a free Labs experiment should factor in the realistic possibility of future pricing changes, just as they should factor in the absence of any SLA or guaranteed uptime.

Where Stitch consistently disappoints

The design quality ceiling is the most consistent critique across all published reviews. Reviewers describe the output as "a colored wireframe rather than a polished mockup" and "functional, usable - not premium." The visual refinement, typographic nuance, and spatial hierarchy that experienced designers apply in tools like Figma are not present in Stitch's raw output. Icons and illustrative elements are frequently cited as low quality. For high-end consumer apps where visual polish directly drives brand perception, or for client-facing agency deliverables where first impressions matter, Stitch output requires significant designer refinement before it can be presented.

The lack of real design system support is a structural gap. Stitch cannot ingest an existing brand kit or component library. Teams with established design systems must either heavily prompt the system with visual references or accept that every generation starts from a generic aesthetic baseline. The auto-generated design system Stitch produces is functional but entirely generic, which creates brand-alignment rework downstream.

Figma export quality disappoints teams expecting production-ready layers. Imported components in Figma are frequently described as cluttered and poorly structured, requiring cleanup before the component tree is usable in a professional Figma workflow. The "Paste to Figma" feature is useful for bringing concepts in, not for delivering final handoff assets.

Editing within Stitch is limited to re-prompting or using the Annotate feature. Users cannot select and directly modify individual UI elements the way they would in Figma. The platform is a generative tool, not an editing environment. Iterative refinement is bounded by what the AI chooses to interpret from each follow-up instruction, which can be frustrating when precise changes are needed.

Google Labs uncertainty is a recurring concern in professional reviews. Multiple reviewers explicitly note they would not build client workflow dependencies on a tool that Google could sunset or significantly alter without notice. Google's history with Labs products, many of which have been discontinued, creates legitimate wariness for teams considering Stitch as a core production tool rather than an ideation assistant.

Who Stitch is built for

The clearest fit is the 0-to-1 design problem: generating something from nothing, quickly, without requiring design skill or a Figma subscription. Solo founders building MVPs without design budgets, developers who need a functional UI scaffold to adapt into code, product managers communicating a design vision before a designer is formally involved, and hackathon participants who need to ship something that looks credible fast. Agencies doing rapid concept exploration with clients during live discovery sessions use it to generate ten directions in thirty minutes, let the client point at the two they respond to, and then build on those in Figma. This replaces the blank-page wireframing phase without replacing the refinement and production phases that follow.

The tool integrates naturally at the front of a multi-tool pipeline. Stitch for initial ideation and concept generation, Figma AI for production polish and design system alignment, and tools like Canva for brand asset work that needs to stay accessible to non-designers on the team.

Skip Stitch when the project requires production-ready outputs with consistent brand fidelity from day one. Professional design teams with established brand guidelines and design systems will find the lack of ingestion support creates more rework than the ideation speed saves. Teams requiring real-time multi-user collaboration on design work will hit Stitch's single-user limit immediately. Developers needing production-ready framework-specific components, particularly React and Next.js, will find that v0 by Vercel produces cleaner, more immediately usable code output. Projects requiring guaranteed availability and uptime cannot depend on a Google Labs experiment with no SLA. And users with unpredictable or high-volume generation needs across multiple simultaneous client projects will run into the credit limits with no option to extend them.

The named incident that most clearly defines Stitch's market position: on March 18-19, 2026, Google Labs released the major Stitch update introducing infinite canvas, multi-screen generation, and Vibe Design. Figma's share price opened 8.8 percent lower the following morning, reflecting market concern about Stitch as a credible competitive threat. The market reaction overstated the near-term disruption, given Stitch's quality ceiling and Labs uncertainty, but it accurately identified the longer-term direction: Google Gemini's underlying models are improving fast, and Stitch represents where AI-generated UI design is heading.