The Google Stitch alternative for designing within a real product
Google Stitch is an AI-native design canvas in Google Labs. It can generate UI from prompts and images, use project context, create interactive prototypes, and work with design rules through DESIGN.md. For an existing product, the useful comparison is how well each tool carries your context into the flow, states and design handoff.
Figr starts from your product. It learns your screens, flows, and design system, reasons through the UX, and produces Figma-ready design that fits what you run. This page compares the two, fairly, including where Stitch is the better fit.
Quick answer: evaluate Figr when PMs and designers need to explore a feature within an existing product and design system. Stitch is also worth testing for rapid UI exploration with project context. Both offer a free way to get started. This page compares Figr with Stitch; for a wider shortlist, see our eight Google Stitch alternatives.
Free generation and product design solve different problems
Both tools generate interfaces with AI, so they look comparable. What they are for is different, and that difference is the decision.
Google's Stitch design-canvas update describes context from images, text and code, a project-aware agent, and design-system extraction from a URL. Its real-time design update also describes bringing existing codebase and design files into the workflow. It would be inaccurate to treat Stitch as a tool that only works from a blank prompt.
For an established product, compare how each tool handles the context you supply: current screens, reusable components, product rules and the states around the main flow. Figr focuses on keeping that product knowledge connected as the team explores, collaborates and iterates.
What Google Stitch is genuinely good at
Google Stitch has clear advantages, and credit where it is due. It is free, which lowers the barrier to trying it. It is powered by Gemini, and it can take a prompt or an image and produce UI quickly, now across multiple screens, with paths to export toward Figma or code.
Stitch is useful for exploring several directions and connecting screens into prototypes. Its current workflows also reach into developer tools. Check the output against your product's components, permissions and error states before choosing the next step, just as you would with any AI-generated design.
What Figr is, and the job it is built for
Figr is an AI product designer that starts from your product. It captures your screens, flows, design system, and docs, reasons through the UX, and produces Figma-ready design that fits what you run.
Figr connects supplied product context with UX reasoning, flows and screen generation, then creates Figma-ready work for designers to review. Its fit is strongest when the team wants to carry existing product knowledge through repeated feature iterations.
That makes Figr strongest where you are improving a real product and the output has to match what is already there, rather than start fresh each time.
A worked example: a settings redesign on a real product
Use an account-settings redesign as an evaluation scenario for a product that already has a design system. Give each tool the same current screen, component references and requirement: change a workspace setting without hiding who has permission or what happens when saving fails.
Review each result against the same checklist: does it reuse the right controls, preserve navigation, explain disabled actions, and include saving, success and error states? Record the component and layout correction work needed afterward. A polished first screen alone does not answer those questions.
In Figr, bring the current product screen and describe the change, ask for the relevant flow and states, then review the proposed design in your team's normal workflow. Assess the fit yourself before handoff. This scenario is an evaluation method, not a measured head-to-head test.
See a feature designed inside an existing interface
In Figr's catch-up workflow gallery example, web capture and screenshots provide the starting context for a Linear-style issue list. The proposed “Since you left” digest groups work needing attention, blocked items and recent changes. The gallery includes collapsed, expanded and nothing-changed states, along with a canvas and interactive prototype.
Open the example to inspect how the added feature fits the surrounding interface. This is a Figr-created design concept; it is not a claim that Linear shipped the feature or a benchmark against Stitch.
Bring one screen and one feature requirement. Ask Figr to explore the flow and missing states using your product context, then review the result with your designer. Try Figr on your existing product. The free plan includes 10 credits that refresh monthly and Figma export; see current limits.
Where each one wins
| The job | Google Stitch | Figr |
|---|---|---|
| Free, quick generation from a prompt | Available through Google Labs; check current account limits | Free plan with 10 monthly credits; paid plans for more usage |
| Explore a concept or first look | UI variations and interactive prototypes | Explore directions, flows and screens with product context |
| Start from your existing product | Images, text, code and project context | Product screens, Figma context, docs and reusable product memory |
| Match your design system | DESIGN.md and design-system extraction from a URL | Design-system context, components, tokens and usage rules |
| Reason through edge cases | Inspect generated flows against your required states | Ask for flows and missing states, then review the coverage |
| Getting to production | Export paths to developer tools; implementation still needs review | Figma-ready design for review and engineering handoff |
| Design ready to refine and ship | Evaluate the exported artifact in your team's workflow | Refine the output with your designer before handoff |
When Google Stitch is the right call
Choose Google Stitch when its canvas, generation workflow and developer-tool connections fit the way you want to explore an idea. A quick concept, a set of UI directions or an interactive prototype can all be useful starting points.
Figr is worth evaluating when PMs and designers need to build a feature into an established product and keep screens, requirements and design-system context together through review. Compare the correction effort and team workflow, as well as generation cost.
How to choose between Google Stitch and Figr
Start with the artifact your team needs next: an exploratory UI, an interactive prototype, a reviewed feature flow or a design that a teammate can continue editing.
If you want rapid exploration with Google's design canvas, test Stitch. If you want a product-design workspace centered on existing screens, design-system context and team iteration, test Figr. Use the same feature brief and context in both so the comparison reflects your real work.
The useful signal is the work left after generation: component fixes, missing states, unclear behavior and handoff cleanup. Compare those directly before committing a team workflow.
What Figr is not
Figr has a free plan with 10 credits that refresh monthly, three canvases and Figma export. It is not unlimited free generation. Larger workloads, collaboration and more product context may require a paid plan.
Figr is built to help teams explore and refine design within a real product. It still needs useful input and human review: designers decide what fits the system, and engineers validate implementation. Start with a small feature to see whether that workflow helps your team.
Why Figr designs from the product: the Visual Context Graph
Figr grounds design in your product because it treats product work as visual and contextual, not as a single prompt. That is the Visual Context Graph, which connects five layers:
- Visual: your screens and frames
- Behavioral: recordings and real user flows
- Design system: tokens, components, variants, and rules
- Product knowledge: PRDs, research, and past decisions
- Implementation: the code constraints around the design
Figr uses these connected layers to help the team reason about product changes and create an editable starting point. Stitch also supports supplied context and design rules; evaluate how well each workflow retains the details your team needs. Figr output can move into Figma for review and refinement.
Pricing, briefly
Google Stitch offers a free entry point through Google Labs; check its current account allowances. Figr offers a $0 plan with 10 monthly credits and Figma export, Starter at $39/month and Max at $149/month when billed monthly, plus custom enterprise plans. Annual billing differs. Compare the included usage, collaboration and export needs on the current pricing page.
Design for your product, not from a blank prompt
If you are improving a real product, bring its current screens and design-system context into Figr, explore the change, and review the result with your team. The aim is a stronger starting point for refinement and handoff.
FAQ
Is Figr a Google Stitch alternative?
Yes. Figr is an option for PMs and designers working on an existing product, with product context, flows and Figma-ready design in one workflow. Both Figr and Stitch offer a free entry point, with different usage limits.
What does Figr do that Google Stitch does not?
Figr emphasizes connected product knowledge, UX reasoning, state exploration and Figma-ready work across feature iterations. Stitch also supports project context and design rules, so the useful distinction is how each fits your team's workflow. Compare both on the same product task rather than assuming context support is exclusive to either tool.
Can I try Figr free before choosing a Stitch alternative?
Yes. The free plan includes 10 credits that refresh monthly, three canvases and Figma export. Start with one screen and one feature requirement, and check the current plan limits.
Is Google Stitch really free?
It is currently free as a Google Labs experiment. Labs projects can change or close, so confirm its current status before relying on it.
What is Google Stitch best at?
Free, fast generation from a prompt or image, which is great for quick exploration and first looks.
Which should I use for an existing product?
Evaluate Figr if your PMs and designers want to keep product knowledge, flow exploration and design review together. Stitch can also work with existing context. Test component fit, state coverage and the handoff artifact against your own product before deciding.
Is Figr related to Stitch or Galileo?
No. For context on the Galileo lineage, see the Galileo AI comparison. Figr is a separate, product-context design tool.
Related reading
For more on this space: AI wireframe generators, the best AI design tools, a guide to design systems, and why design is about decisions, not drafts.