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getdesign

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Extract design tokens and markdown style guides directly from any website URL

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Evidence checked
Oct 17, 2026

Overview

getdesign is a purpose-built design system extractor that turns any live website into structured, usable interface documentation. Instead of manually inspecting DevTools or guessing font stacks and color palettes, the platform loads target URLs in a real browser, systematically reading rendered CSS tokens, typography hierarchies, component patterns, and spacing systems. It bundles these findings into a clean design.md document paired with visual screenshots, establishing an immediate source of truth for downstream design and development workflows. Where getdesign especially shines is bridging the context gap for AI coding workflows. Because modern coding agents like Cursor, Claude Code, and Codex require grounded design context to write accurate frontend interfaces, getdesign packages visual captures and token specifications into ready-to-consume formats. Users can invoke the engine across multiple surfaces—whether via the native web dashboard, a Bun CLI, a Bun TypeScript SDK, or a portable SKILL.md agent integration. The tool operates on a bring-your-own-key model for its initial release. There are no platform subscription or run fees, though users must supply their own Daytona credentials for automated browser runs and OpenAI API keys for extraction processing. It offers an efficient, direct path for engineering and design teams looking to turn reference sites into actionable documentation.

getdesign Screenshots & Demo

getdesign screenshot

getdesign 's Core features

01

Grounded Token Extraction

Spins up target sites in a real browser to parse actual rendered CSS tokens, capturing typography, color palettes, spacing units, and layout rules directly into a structured design.md file.

02

Flexible Multi-Surface Access

Accommodates diverse developer environments with direct execution through a web dashboard, an HTTP API (GET /v1/design), a Bun CLI command, or an official Bun TypeScript SDK.

03

Portable Coding Agent Skills

Includes a dedicated SKILL.md file that hooks natively into AI development tools like Claude Code, Codex, and Cursor, letting agents extract and apply styling rules on the fly.

04

Rendered Visual Captures

Pairs extracted technical markdown specifications with actual browser-rendered screenshots, ensuring developers have an immediate visual reference alongside token data.

05

Bring-Your-Own-Key Infrastructure

Runs without platform run fees in V1 by utilizing your existing Daytona keys for browser automation tasks and personal OpenAI keys for model inference.

How to use getdesign

  1. Authenticate into the getdesign web dashboard securely using your WorkOS login credentials to access your workspace.
  2. Navigate to your account settings and input your personal Daytona and OpenAI provider API keys to handle browser capture and model processing.
  3. Submit any target public website URL using the web dashboard, Bun CLI command, HTTP API endpoint, or the Bun TypeScript SDK.
  4. Wait while the engine spins up an automated real browser session to inspect rendered CSS tokens and capture visual screenshots of the interface.
  5. Export the structured design.md file and screenshots to review the typography, spacing, and palettes, or pipe them directly into your coding agent.
  6. Manage run visibility by toggling your generated run link to public for team sharing, or revert it to private whenever necessary.

Use cases of getdesign

01

Prompting AI Coding Environments

Frontend developers supply design.md files and screenshots to tools like Cursor or Claude Code, giving autonomous models accurate context to build matching components.

02

Auditing Reference Style Guides

Designers and engineers inspect live reference or competitor websites to automatically extract structured color, typography, and component documentation in seconds.

03

Automating Token Extraction Pipelines

Software teams embed the Bun SDK or REST API into their continuous integration workflows to programmatically output design systems as Markdown or JSON.

Who benefits from getdesign

01

Frontend Developers

Engineers who need precise, extracted CSS tokens, spacing values, and component structures from live web references without tedious DevTools inspection.

02

AI-Assisted Developers

Teams using Cursor, Codex, or Claude Code that require structured, grounded style context files to eliminate hallucinated frontend styling.

03

UI/UX Designers

Product designers seeking a fast, automated method to turn existing live websites into comprehensive Markdown-based style guides.

Pricing of getdesign

V1 has no getdesign run billing or paid tier. Users bring their own Daytona keys for browser capture and OpenAI keys for model usage.

Complementary tools for the workflow

These tools solve adjacent steps; they are not presented as lookalike products.

01

Ito AI

Build design systems

Ito AI has verified evidence for test applications, an adjacent step to build design systems. The evidence outlines building components and mocking states as stories first, then using those stories to power automated tests.

02

TestDriver

Build design systems

TestDriver has verified evidence for test applications, an adjacent step to build design systems. The evidence outlines building components and mocking states as stories first, then using those stories to power automated tests.

03

Penpot

Build design systems

Penpot has verified evidence for design user interfaces, a supporting step for build design systems. UI designs are polished and generated according to preserved rules and extracted tokens documented in design system files like DESIGN.md.

04

AccessLumens

Build design systems

AccessLumens has verified evidence for analyze website accessibility, an adjacent step to build design systems. When building design systems, designers plug in their color system to analyze its accessibility and contrast.

05

AgentMemory

Build design systems

AgentMemory has verified evidence for manage agent context and memory, an adjacent step to build design systems. The extracted design system (design.md) is generated first and then fed to a coding agent as context when building an interface.

06

Memori

Build design systems

Memori has verified evidence for manage agent context and memory, an adjacent step to build design systems. The extracted design system (design.md) is generated first and then fed to a coding agent as context when building an interface.

07

Mem0

Build design systems

Mem0 has verified evidence for manage agent context and memory, an adjacent step to build design systems. The extracted design system (design.md) is generated first and then fed to a coding agent as context when building an interface.

08

Memanto

Build design systems

Memanto has verified evidence for manage agent context and memory, an adjacent step to build design systems. The extracted design system (design.md) is generated first and then fed to a coding agent as context when building an interface.

09

Overview

Build design systems

Overview has verified evidence for manage agent context and memory, an adjacent step to build design systems. The extracted design system (design.md) is generated first and then fed to a coding agent as context when building an interface.

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