Stitch by Google

Stitch by Google

Generate multi-screen UI + frontend code from prompts or images (Google Labs).

Text-to-UIImage-to-UIRapid prototypingFrontend code exportMulti-screen flows
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LinkStart Verdict

Stitch by Google is the practical choice for product teams and indie builders who need to prototype multi-screen UI fast and export usable frontend code. In our testing, it shines when you want quick UI variations from a prompt or a rough screenshot, but you still need design judgment for edge cases and component states.

Why we love it

  • Strong text-to-UI and image-to-UI flow for rapid ideation and redesign
  • Fast iteration loops (themes, variations, follow-up edits) for stakeholder reviews
  • Exportable frontend code that reduces rework between design and implementation

Things to know

  • Quality can vary by prompt specificity; complex interaction states still need manual refinement
  • Experimental product behavior and limits can change over time
  • Not a full replacement for end-to-end design systems and accessibility QA

About

Stitch by Google is an AI UI generator for web and mobile that turns text prompts or reference images (sketches, screenshots, wireframes) into multi-screen layouts and exportable frontend code. It supports fast iteration (themes, variations, follow-up edits) and is designed for rapid prototyping and handoff to design/dev workflows. Stitch offers a free plan (Google Labs), with paid tiers starting at $0/month; it is less expensive than average for this category.

Key Features

  • Generate multi-screen UI from prompts or images
  • Iterate with themes, variations, and follow-up edits
  • Export frontend-ready code for handoff
  • Speed up MVP and design review cycles

Product Comparison

Comparison: Stitch by Google vs Figma vs Framer (Prompt-to-UI → Ship)
DimensionStitch by GoogleFigmaFramer
Core use caseGenerate multi-screen UI from prompts/images for product flowsDesign system + collaboration for production UIPrompt-to-website + hosting for shipping marketing pages
Best forIndie builders, PMs, early-stage design needing a fast first draftProduct design teams optimizing consistency and handoffMarketing teams & founders who want a live site fast
Killer advantageExport-ready artifacts (Figma handoff + code download) from a promptPixel-perfect control and scalable components (design tokens)Publish in one tool (design + deploy + edits)
Workflow fitStart in Stitch → refine in Figma → implement in codeOwn the system of record → integrate dev handoff pipelinesGenerate → tweak visually → publish without dev
Limits & trade-offsGreat for drafts; needs QA for a11y, responsiveness, and tokensAI helps, but ideation still takes time; exporting to code is indirectBest for websites; less ideal for complex app UIs and deep systems
Cost vs ROIFree (quota-based) - highest ROI for UI ideation speedPaid seats for teams; ROI peaks when you run a design systemFreemium; paid plans commonly start around $10–$15/mo for custom domains

Frequently Asked Questions

Yes. Stitch is available as a Google Labs experiment with a free tier; limits can apply and may change over time. For most teams, treat it as “free while experimental” and plan a fallback workflow (Figma + code handoff) if quotas tighten.

The main difference is that Stitch generates multi-screen UI and starter frontend code from prompts/images, while Figma remains stronger for design systems, detailed component states, and team collaboration at scale. Use Stitch to get to a first prototype fast, then finalize in Figma for production-grade UI specs.

Yes. A common pattern is: generate UI screens in Stitch, export frontend code, then wire the UI to app logic that calls Gemini or Vertex AI for inference. Treat Stitch as the design-to-code accelerator, and keep your model/API layer separate for maintainability.

It depends on your Google Labs/data controls. Because Stitch is an experimental product, you should assume data handling may vary by setting and region, then review the in-product privacy and data usage options before using it for confidential client work.

Yes. Use a prompt that specifies the user flow (onboarding → dashboard → settings), brand tokens (colors/typography), and key components (tables, forms, nav). Then export the generated code as a starting point and connect it to your backend/API layer.

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