Framer component to code: from canvas to codebase

Every Framer component is convertible

Anything you can select on the Framer canvas can be turned into production code. Framer to AI reads the underlying rendering logic of the selected element and bundles it into a self-contained React component — complete with TypeScript types, styles, and dependencies.

This works for simple elements like buttons and badges, complex compositions like multi-section layouts, and everything in between. If Framer can render it, the plugin can convert it.

Component types and what to expect

Buttons and CTAs

Buttons are the simplest conversion. You get a React component with props for label text, click handler, variant (primary, secondary, ghost), and disabled state. Hover and press animations from Framer carry over via framer-motion.

Cards and tiles

Product cards, testimonial cards, pricing tiles — these come through as components with props for image, title, description, and any action buttons. If the card has hover effects or layout animations in Framer, those are preserved.

Navigation bars

Navbars often include responsive variants (desktop with horizontal links, mobile with a hamburger menu). When you select a navbar with responsive variants in Framer, Framer to AI bundles all variants into a single component that switches layouts at the correct breakpoints.

Hero sections

Hero sections typically combine a headline, subtext, CTA buttons, and a background image or gradient. The converted component includes props for all text content, button actions, and visual variants. Entrance animations are preserved through framer-motion.

Forms

Form components come through with input fields, labels, and submit buttons. The AI prompt includes the form structure so your coding tool can wire up validation, state management, and submission logic to match your backend.

The bundling process

When you click Copy Prompt, the plugin does several things behind the scenes:

1. Reads the component tree. Every child element of your selection is traversed and its rendering code is captured.
2. Resolves dependencies. The plugin identifies which packages the component needs — framer-motion, shared utilities, font imports — and lists them in the prompt.
3. Generates TypeScript types. The prop interface is inferred from the component's configurable properties — variants, text overrides, event handlers, style options.
4. Creates a file manifest. The prompt includes the exact file paths where each piece of the component should live, so the AI knows where to save everything.
5. Writes a usage example. A working code snippet showing how to import and render the component with realistic props.

How AI tools use the prompt

When you paste the generated prompt into an AI coding tool, the tool reads the structured information and performs several actions:

• Saves component files. The AI creates the files at the specified paths — the main component, the runtime, styles, and type definitions.
• Installs dependencies. If the component needs framer-motion or other packages, the AI adds them to your project.
• Integrates into your app. You tell the AI where you want the component — “Add this hero to the homepage” or “Replace the current navbar” — and it handles the import, rendering, and prop wiring.
• Follows your conventions. AI tools like Cursor and Claude Code read your existing codebase, so the new component matches your project's naming patterns, file structure, and TypeScript configuration.

Tips for converting individual components

• Select the top-level frame. Make sure you select the outermost frame of the component, not a child element inside it. Selecting a nested element will only convert that piece, not the whole component.
• Check for variants. If your component has responsive or interactive variants in Framer, they are included automatically. Verify in the Framer to AI panel that all variants are listed before copying.
• Name your component. The name of the selected frame in Framer becomes the component name in the code. Use a clear, descriptive name like “PricingCard” or “HeroSection” — not “Frame 47”.
• Convert one at a time. For complex pages, convert each section individually rather than the entire page at once. This gives the AI focused context and makes debugging easier.
• Verify after integration. Once the AI integrates the component, run your dev server and compare the rendered output to the Framer canvas. They should match. If something looks off, ask the AI to fix it — it has the full component context from the prompt.

Every component on your Framer canvas is one click away from your codebase. Select it, click Copy Prompt in Framer to AI, paste into your AI tool, and it's done — production-ready React with TypeScript types, styles, and everything wired up.