Use the Canvas live preview, or paste ChatGPT's HTML/CSS into a single .html file and open it, or run a generated React component on a local dev server.
Step 01
Use Case · AI Design
Last reviewed: May 2026
ChatGPT designed your UI in HTML. Canvas previews and code blocks can become a public preview or complete HTML/CSS document. Verify the source, load it in the plugin, and get native, editable Figma layers in a few manual steps.
"ChatGPT to Figma" is the workflow of taking UI that ChatGPT generated — a Canvas preview, an HTML/CSS snippet, or a React component — and importing it into Figma as editable design layers. ChatGPT writes ordinary web code; once it renders in a browser, html2design reads the computed styles and rebuilds them as Figma layers. The model and framework are irrelevant — only the rendered output matters.
It's the bridge from chat to design tool: ChatGPT drafts a UI in seconds, and html2design brings it into Figma so a team can refine, align to a design system, and ship — instead of rebuilding the AI output by hand.
ChatGPT writes standard web markup, which is exactly what the import approach reads.
Whether ChatGPT returns a plain HTML page, Tailwind classes, or a React component, the browser renders it to a standard DOM with computed styles — exactly what html2design reads.
A ChatGPT Canvas live preview is already painted by the browser. Open DevTools on it, copy the outerHTML, and paste — no build step.
If ChatGPT only gives a code block, save a complete .html file with its CSS and assets, then verify it independently before manual input.
Inline SVG icons import as native Figma vector paths — crisp and editable at any scale, never rasterized.
Four manual steps.
Step 01
Use the Canvas live preview, or paste ChatGPT's HTML/CSS into a single .html file and open it, or run a generated React component on a local dev server.
Step 02
Use a public preview URL, or package a complete HTML document with its CSS and assets. Open the file and verify fonts, images, colors, and layout before importing.
Step 03
In Figma, run the HTML to Figma plugin, paste the HTML, and click Generate. Each element's computed style becomes a native Figma object — text, fills, SVG vector paths, and measured frames.
Step 04
You now have a best-effort editable frame of ChatGPT's design. Refine it, align it to your design system, and prepare it for review and handoff on top of the AI-generated draft.
Native Figma objects mirroring the rendered ChatGPT output — not a screenshot.
Copy becomes real Figma text layers with computed font, size, weight, line height, and color.
Backgrounds, borders, shadows, and gradients resolve to precise computed values as Figma fills, strokes, and effects.
Inline SVG icons import as editable Figma vector paths, sharp at any scale.
Layout, spacing, and sizing are recreated from browser measurements, with cleanup expected for unsupported effects.
Use a public preview URL, or load a complete HTML document with its CSS and assets. Editable output maps supported content; Pixel mode is available for public URL capture.
Use a remotely accessible preview URL when available, or export a complete HTML document with its CSS. Copying an element's outerHTML alone does not include external or computed styles.
Save a complete .html file with the required CSS and assets, verify that it renders independently, and load that file through manual input.
Yes — native editable text, vector paths, image fills, and measured frames. Not a screenshot.
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The end-to-end prompt-to-Figma workflow for AI-generated UI.
Pillar Guide
The definitive HTML to Figma guide — every framework and method.
Compare
How html2design compares to screenshot tools and extensions.
Install html2design from the Figma Community — free to try, no Chrome extension, no manual rebuild.
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