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Dembrandt compared

Seven tools people put next to Dembrandt, and one page for each. None of them is a replacement for the others, so every page here says what the other tool owns before it says what it does not do. The recurring gap is the same one: they describe what was intended, and only the shipped page shows what was built.

Dembrandt vs Frontify

Frontify manages brand assets and guidelines. Dembrandt extracts live design tokens from production and scores drift between releases.

Owns: Brand asset management and the portal your team reads

Dembrandt vs Chromatic

Chromatic catches visual regressions in Storybook. Dembrandt extracts live design tokens from production and scores drift between deploys.

Owns: Visual regression on components you already wrote tests for

Dembrandt vs Lighthouse

Lighthouse scores performance, accessibility, SEO, and best practices. Dembrandt extracts design tokens and tracks brand drift between deploys.

Owns: Performance, SEO and accessibility scores on a page load

Dembrandt vs Tokens Studio

Tokens Studio exports design tokens from Figma to code. Dembrandt extracts design tokens from production back to W3C JSON. Opposite directions of the same pipeline.

Owns: Tokens authored in Figma and pushed towards code

Dembrandt vs Style Dictionary

Style Dictionary transforms W3C design token JSON into platform-specific outputs. Dembrandt extracts W3C design tokens from production. Consecutive steps in the same pipeline.

Owns: Distributing a token file into every platform format

Dembrandt vs zeroheight

zeroheight documents your design system from Figma and code. Dembrandt extracts live design tokens from production and scores drift between releases.

Owns: Documentation your design system readers navigate

Dembrandt vs Context.dev

Context.dev extracts brand data via API for UI personalization. Dembrandt extracts computed design tokens from production for drift tracking and AI agent context.

Owns: Design context handed to an agent from your repo

What Dembrandt does instead

It runs the page in a real browser and reports the values the browser computed: palette, type scale, spacing, radii, shadows and component patterns, as W3C design tokens. Not the stylesheet, not the Figma file, not the documentation. The rendered result, including whatever application CSS, a third-party script or a theme toggle did to it on the way.

That output compares against a baseline, so a deploy that moves a token fails the build instead of shipping quietly. Start with one extraction, read why drift goes unnoticed, or look at real output from brands you know.

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