Locofy
ProductFreeAI design-to-code for React, Next.js, and Vue.
Capabilities14 decomposed
figma-to-react code generation with component extraction
Medium confidenceAnalyzes Figma design files by parsing their JSON structure and visual hierarchy to automatically generate React components with proper prop interfaces, state management patterns, and component composition. Uses computer vision and layout analysis to identify reusable component patterns across the design, then generates TypeScript/JSX with semantic HTML and accessibility attributes.
Parses Figma's native component hierarchy and variant system to generate React components with matching prop structures, rather than treating designs as flat pixel-based images. Uses design token extraction to map Figma styles (colors, typography, spacing) directly to CSS variables or styled-component definitions.
Generates framework-specific code (React hooks, Next.js patterns, Vue composition API) rather than generic HTML, and maintains Figma component semantics in output code, whereas competitors like Penpot or Framer often produce less-structured markup.
responsive layout generation with breakpoint-aware css
Medium confidenceAutomatically generates responsive CSS Grid and Flexbox layouts by analyzing Figma artboard dimensions and component positioning, then creating media queries and breakpoint-specific rules for mobile, tablet, and desktop viewports. Uses constraint-based layout inference to determine which elements should reflow, stack, or hide at different screen sizes.
Infers responsive behavior from Figma's constraint system and multiple artboard sizes, generating CSS that adapts layout structure (not just sizing) across breakpoints. Uses heuristics to detect when elements should stack, reorder, or hide rather than requiring manual responsive annotations.
Generates truly responsive layouts that adapt component structure across breakpoints, whereas many design-to-code tools produce fixed-width designs that only scale proportionally.
figma to code live sync and update detection
Medium confidenceMonitors Figma design files for changes and automatically regenerates code when designs are updated, maintaining a live connection between design and code. Detects which components or pages changed and regenerates only affected code sections, preserving manual code modifications in designated areas. Uses Figma webhooks or polling to track design changes and triggers code regeneration workflows.
Implements live sync between Figma and generated code using webhooks and change detection, regenerating only affected components while preserving manual code modifications in protected regions. Uses intelligent merge logic to handle simultaneous design and code changes.
Provides continuous design-to-code synchronization with change detection and selective regeneration, whereas most design-to-code tools require manual regeneration on each design change.
tailwind css utility class generation and configuration
Medium confidenceGenerates Tailwind CSS utility classes for all styling instead of inline CSS or CSS modules, and creates a tailwind.config.js file with extended theme values matching Figma design tokens. Maps Figma colors, spacing, typography, and other design properties to Tailwind utilities, generating class names that follow Tailwind conventions. Includes responsive utility classes (sm:, md:, lg:) for breakpoint-specific styling.
Maps Figma design tokens directly to Tailwind utilities and generates tailwind.config.js with extended theme values, enabling utility-first styling without manual Tailwind configuration. Uses heuristics to determine optimal Tailwind class combinations for complex designs.
Generates Tailwind CSS utilities with matching configuration from Figma tokens, whereas competitors often produce CSS-in-JS or CSS modules requiring manual Tailwind setup.
css modules and scoped styling generation
Medium confidenceGenerates CSS Modules (.module.css) or scoped styles with unique class name prefixes for component isolation, preventing style conflicts in large applications. Creates separate CSS files for each component with locally-scoped class names, and generates TypeScript imports for type-safe class name references. Supports both CSS Modules and CSS-in-JS approaches (styled-components, Emotion) depending on framework choice.
Generates CSS Modules with type-safe class name imports and scoped styling, or CSS-in-JS components with styled-components/Emotion, providing multiple styling strategies. Uses component-level style organization to prevent global CSS conflicts.
Generates scoped CSS with multiple styling approaches (CSS Modules, CSS-in-JS), whereas many design-to-code tools produce inline styles or global CSS requiring manual refactoring.
figma plugin integration for in-editor code generation
Medium confidenceProvides a Figma plugin that runs directly within Figma, allowing designers to generate code without leaving the design tool. The plugin communicates with Locofy's backend to process designs and display generated code in a sidebar panel, enabling real-time code preview and export. Supports one-click code generation and copy-to-clipboard functionality for quick integration into development workflows.
Implements a Figma plugin that runs code generation within the Figma editor, enabling designers to generate code without leaving the design tool. Uses Figma's plugin API and sandbox environment to provide real-time code preview and export.
Provides in-editor code generation within Figma, reducing context switching compared to web-based design-to-code tools that require opening a separate application.
design token extraction and css variable generation
Medium confidenceScans Figma design files to identify and extract design tokens (colors, typography scales, spacing systems, shadows, border-radius values) and automatically generates CSS custom properties (variables) or Tailwind config files that match the design system. Maps Figma styles and component properties to standardized token names following design system conventions.
Automatically extracts and normalizes Figma styles into a hierarchical token structure, then generates multiple output formats (CSS variables, Tailwind config, JSON) from a single source. Uses heuristic naming to create semantic token names (e.g., 'primary', 'secondary') from Figma style organization.
Generates tokens directly from Figma styles without requiring manual token definition, and supports multiple output formats, whereas tools like Figma Tokens plugin require manual token setup in Figma.
adobe xd design file parsing and conversion
Medium confidenceParses Adobe XD document format (.xd files) to extract design structure, components, artboards, and styling information, then converts to the same code output formats as Figma (React, Vue, HTML). Uses XD's native component system and repeat grid features to identify reusable patterns and generate corresponding code structures.
Implements XD-specific parsing logic to handle XD's component system and repeat grids, generating code that respects XD's design patterns rather than treating XD as a Figma alternative. Maps XD's interaction triggers to code comments or event handler stubs for developer reference.
Supports Adobe XD natively alongside Figma, whereas most design-to-code tools focus exclusively on Figma, forcing XD users to export to other formats.
next.js page and routing structure generation
Medium confidenceGenerates Next.js-specific code including page components with file-based routing, API route stubs, and layout hierarchies that match Figma artboard organization. Automatically creates the correct directory structure (pages/, app/ for App Router, components/) and generates page.tsx files with proper Next.js conventions, including getStaticProps/getServerSideProps stubs for data fetching.
Maps Figma page structure directly to Next.js file-based routing, generating correct directory layouts and page component signatures. Includes Next.js-specific patterns like getStaticProps stubs and layout component hierarchies that respect Next.js conventions.
Generates framework-specific Next.js code with proper routing and data-fetching stubs, whereas generic design-to-code tools produce standalone React components requiring manual Next.js integration.
vue 3 composition api component generation
Medium confidenceGenerates Vue 3 single-file components (.vue) using Composition API with setup() functions, reactive state management, and proper TypeScript support. Converts Figma component properties to Vue props with type definitions, and generates event handlers and lifecycle hooks as needed. Produces scoped styles within <style scoped> blocks matching Figma styling.
Generates Vue 3 Composition API code with proper setup() function patterns and TypeScript prop definitions, rather than Options API or class-based components. Maps Figma component variants to Vue props with discriminated union types for type safety.
Produces modern Vue 3 Composition API code with TypeScript support, whereas many design-to-code tools either don't support Vue or generate outdated Options API patterns.
semantic html and accessibility attribute generation
Medium confidenceGenerates semantic HTML5 elements (nav, main, section, article, aside) based on Figma design structure and layer naming, and automatically includes accessibility attributes (aria-label, role, aria-describedby) inferred from design context. Uses heuristics to identify interactive elements and generates proper button/link semantics with keyboard navigation support.
Infers semantic HTML structure and ARIA attributes from Figma design hierarchy and layer naming conventions, generating accessibility-first code rather than treating accessibility as an afterthought. Uses design context to determine appropriate ARIA roles and relationships.
Generates semantic HTML with ARIA attributes by default, whereas many design-to-code tools produce generic div-based markup requiring extensive manual accessibility work.
component variant and state management code generation
Medium confidenceConverts Figma component variants and component sets into code-level prop variations and conditional rendering logic. Generates TypeScript discriminated unions for variant props, creates state machines for multi-state components, and produces code that handles all design-defined variants (e.g., button sizes, colors, states like hover/disabled/loading). Maps Figma's variant naming to code prop names and generates exhaustive switch statements or conditional rendering.
Maps Figma's native variant system directly to TypeScript discriminated unions and conditional rendering, generating type-safe code that prevents invalid variant combinations. Uses Figma variant naming to infer semantic prop names and generates exhaustive variant handling.
Generates type-safe variant code that mirrors Figma's variant system, whereas competitors often produce flat prop interfaces requiring manual variant logic.
interactive element detection and event handler generation
Medium confidenceAnalyzes Figma design structure to identify interactive elements (buttons, links, form inputs, toggles) based on layer naming, component types, and design patterns, then generates corresponding event handler stubs and onClick/onChange callbacks. Creates placeholder functions for common interactions (form submission, navigation, state toggling) with TypeScript signatures matching the component context.
Detects interactive elements from Figma design structure and naming conventions, generating event handler stubs with proper TypeScript signatures. Uses design context to infer handler types (onClick for buttons, onChange for inputs, onSubmit for forms).
Generates event handler stubs with correct signatures based on element type, whereas most design-to-code tools produce static markup without any event handling scaffolding.
image asset extraction and optimization
Medium confidenceAutomatically extracts images, icons, and graphics from Figma designs, exports them in multiple formats (PNG, SVG, WebP), and generates optimized image references in code with proper src paths, alt text, and lazy loading attributes. Detects icon usage patterns and generates icon component wrappers or SVG sprite sheets. Includes image optimization recommendations (size, format, compression) based on usage context.
Automatically extracts and optimizes images from Figma, generating responsive image markup with srcset and lazy loading attributes. Detects icon patterns and generates icon component wrappers or SVG sprites, reducing manual asset management.
Extracts and optimizes assets automatically with responsive image markup generation, whereas most design-to-code tools require manual asset export and integration.
Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.
Related Artifactssharing capabilities
Artifacts that share capabilities with Locofy, ranked by overlap. Discovered automatically through the match graph.
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Best For
- ✓Design-forward teams using Figma as source of truth for UI
- ✓Startups and agencies needing rapid prototyping to production handoff
- ✓Solo developers or small teams without dedicated frontend engineers
- ✓Teams migrating from design-only workflows to code-first development
- ✓Teams building responsive web applications from Figma designs
- ✓Developers who want to skip manual media query authoring
- ✓Design systems teams needing consistent responsive behavior across components
- ✓Teams with frequent design iterations wanting to keep code in sync
Known Limitations
- ⚠Complex interactive behaviors (animations, gestures, state machines) require manual implementation post-generation
- ⚠Custom design tokens and brand-specific styling rules may need refinement after generation
- ⚠Nested component detection accuracy depends on Figma layer naming conventions and organization
- ⚠Generated code requires integration with actual data sources and API calls — outputs static markup by default
- ⚠Performance optimization (code splitting, lazy loading) not automatically applied
- ⚠Complex responsive behaviors (collapsing sidebars, drawer animations) require manual implementation
Requirements
Input / Output
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About
Design-to-code platform that converts Figma and Adobe XD designs into production-ready React, Next.js, Vue, and HTML code with responsive layouts, component structure, and clean markup using AI-powered analysis.
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