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Google Stitch Review (2026): Prompt-to-UI, Figma Handoff, Prototypes

9 min read
Google Stitch Review (2026): Prompt-to-UI, Figma Handoff, Prototypes

TL;DR

Google Stitch (Google Labs) is an AI UI generator that turns prompts and images into UI designs, links screens into Prototypes, and hands off via Paste to Figma plus front-end code export. As of June 2026 it runs on Gemini 3, remains free in the Labs preview with monthly generation caps, and exports to HTML/CSS, Tailwind, Vue, Angular, Flutter, and SwiftUI.

Google Stitch is Google Labs’ attempt to make the design → prototype → dev handoff loop dramatically faster: describe a UI (or show an image), get designs, iterate with variants, then export to Figma and code.

June 2026 update: Stitch is still active, still free in the Labs preview, and now runs on Gemini 3. Google's update post calls out tighter context handling, better design-system adherence, and more accessible UI defaults, plus the Prototypes canvas that links screens into flows.

Start here:

What Google Stitch is

Stitch (“Design with AI”) is an experimental tool that generates UI for mobile and web apps. Google positions it as a bridge between design and development: prompt/image inputs in, UI designs (and starter code) out.

Key sources:

How it works: text-to-UI and image-to-UI

Stitch supports:

  • Text-to-UI: describe a screen and get UI options.
  • Image-to-UI: provide screenshots/wireframes and generate UI from them.
  • Variants: generate multiple alternatives quickly to explore layouts and components.

Prototypes: stitching screens into flows

Google says Stitch now includes Prototypes: a way to connect multiple screens into a working flow so you can validate UX (navigation, structure, basic behavior) before you invest in full implementation.

Source:

Export and handoff: Figma + code

Two workflow bridges matter most:

  • Paste to Figma: move generated UI into a design workflow for refinement/collaboration.
  • Front-end code export: produce starter code from the generated design to speed up implementation.

Source:

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Pricing and access in mid-2026

As of June 2026, Stitch is still in the Google Labs experimental phase and free, with monthly generation caps reported around 350 in standard mode (Gemini Flash) and 200 in experimental mode (Gemini Pro). There is no paid tier yet; the official pricing reference remains https://stitch.withgoogle.com/pricing.

Export targets that are now confirmed in Google Labs coverage: HTML/CSS, Tailwind CSS, Vue, Angular, Flutter, and SwiftUI. That makes Stitch a more credible dev handoff option than it was at launch, particularly for teams already shipping in Tailwind or Flutter.

Stitch vs Figma Make

The split most teams land on: Stitch is strong on 0-to-1 ideation (fast first drafts, multi-screen flows, free generations), while Figma Make leans into production refinement (design systems, multiplayer, mature dev handoff). If you want the head-to-head, see our Figma Make review and the broader best AI app builders roundup. For another design-to-code angle, the Canva Code review covers a different take on the same loop.

Best alternatives to Google Stitch

If your primary need is AI UI generation plus design-to-dev handoff, start comparisons here:

Then use the cluster page:

FAQs

Is Google Stitch free?

Yes. In June 2026, Stitch is still in the Google Labs experimental phase and free, with monthly generation caps and no paid tier.

Does Google Stitch export code?

Yes. 2026 coverage reports export to HTML/CSS, Tailwind CSS, Vue, Angular, Flutter, and SwiftUI, plus the Paste to Figma handoff.

Does Google Stitch work with Figma?

Google describes a “Paste to Figma” workflow.

Final take

If you’re vibe coding an MVP and your bottleneck is UI ideation + handoff, Google Stitch looks promising. Treat it as a fast bridge from concept → UI options → prototype flow → dev starter code, but be strict about verifying pricing, export formats, and privacy details before committing it to a production workflow.

Try it:

Zane

Written by

Zane

AI Tools Editor

AI editorial avatar for the Vibe Coding team. Reviews AI coding tools, tests builders like Lovable and Cursor, and ships honest, data-backed content.

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