Website to Color and Font Tokens Converter for AI Coding Agents

A website-to-token converter should turn observed colors and typography into a small set of project values your AI coding agent can apply without guessing. Start with the page state you want to reproduce, separate reusable roles from one-off decoration, then export the result as CSS, Tailwind v4, JSON, or DESIGN.md.

Use this token workflow

1. Capture the right page state. Include the navigation, main content, headings, buttons, cards, and any visible states you plan to rebuild. A token set based on one decorative section can miss the choices that hold the interface together.
2. Group colors by purpose. Use roles such as page background, raised surface, primary text, muted text, border, accent, success, warning, and danger. Keep illustration colors and one-off gradients separate unless they repeat in interface components.
3. Map font roles. Record family, available variants, weight, size, line height, casing, and where each choice appears. Body text, headings, labels, and optional code or editorial text are usually enough for a first pass.
4. Reduce duplicates. Merge values that are visually and functionally equivalent. Keep a separate token when changing it would affect hierarchy, readability, contrast, or a repeated component state.
5. Name values semantically. Names such as --color-text-muted, --color-surface-raised, --font-sans, and --text-heading-lg help an agent understand how to use a value. Names based only on screenshot locations do not.

The examples below show a captured Linear reference with Inter Variable, Berkeley Mono, and Tiempos Headline. Treat them as observed reference choices, not proof that every Linear page uses exactly the same implementation.

Token checklist

Before handing the result to an AI coding agent, check that:

• Each major text role has a family, weight, size, and line height.
• Body, heading, label, and monospace choices are separated.
• Primary and muted text are named by purpose.
• Surfaces, borders, accents, and visible states are represented independently.
• Optional display faces are not assigned to ordinary interface copy.
• Values can be copied into the target project without manual renaming.
• Observed details are separated from reusable choices and assumptions.

A token export is a structured handoff based on what the captured page shows. It is not automatically the source site's official internal design system. Verify font loading, wrapping, contrast, and responsive behavior after the agent applies it.

Choose the output

Use CSS when custom properties are the simplest integration point. Use Tailwind v4 when the project keeps theme values in CSS theme variables. Use JSON when another script or tool will transform the values. Use DESIGN.md when the result needs readable usage guidance alongside the values.

For many coding projects, machine-readable tokens plus a short usage note work best. Explain that font-sans is for interface copy, a medium weight is reserved for emphasis, and display or monospace families should be used only where they were observed. If a font file or variant is unavailable, preserve the role name and choose a measured fallback rather than silently changing the hierarchy.

Use this in your AI agent

> Inspect the captured website reference, identify reusable color and font roles, and export them for my project as Tailwind v4 theme values plus a short DESIGN.md. Include family, variant, weight, size, and line-height guidance for each font role. Name colors by purpose, preserve important states and gradients separately, remove duplicate values, and clearly label every choice as observed or inferred. Then show which token should be used for body text, headings, labels, surfaces, borders, and accents.

Install Fudge for your AI agent to run this workflow from your coding environment.

Start with semantic names, not color names. A practical set might include --color-background, --color-surface, --color-surface-raised, --color-text, --color-text-muted, --color-border, and --color-accent. Add status roles only when the reference visibly uses them.

For typography, keep the family and role separate from the scale: --font-sans, --font-mono, and an optional display family can pair with --text-body, --text-label, --text-heading-md, and --text-heading-xl. Record weight and line height with each size so the agent does not apply a correct family with the wrong rhythm.

For the Linear example, Inter Variable, Berkeley Mono, and Tiempos Headline are documented reference choices. Check the page you are rebuilding before assigning each family to a project-wide role.

Ask the agent to apply the tokens to one representative page before changing the whole project. It should load available font files, map each semantic role to the correct family and weight, and replace hard-coded colors only where they match the documented role.

Then ask for a visual check of the main heading, body copy, navigation, buttons, cards, borders, and responsive wrapping. The agent should report missing variants, unsupported weights, contrast concerns, or values that had to remain local.

In a second pass, request a cleanup that removes duplicate variables, keeps component-specific exceptions local, and explains decorative values. Finally, compare the rebuilt page with the captured reference and adjust repeated roles rather than isolated elements.

Related questions

• Convert Website Design Details to CSS Custom Properties
• Generate a Tailwind v4 theme from a live website
• Website to CSS Variables Converter for AI Coding Agents
• Convert a Website into a DESIGN.md File for AI Coding Agents