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AI Coding
Updated on Aug 13, 2025

Best Design to Code Tools Compared: Detailed Analysis 2025

The design to code landscape has transformed with AI-powered tools promising to bridge the gap between visual design and production-ready code.

With 82% of developers now using AI coding assistants daily or weekly, the demand for effective design-to-code solutions has never been higher1 .

Results

As a result of our testing across 15 leading design-to-code tools, we found significant variations in feature completeness, code quality, and developer experience. Each tool demonstrates distinct strengths aligned with specific use cases and development workflows.

  • Enterprise-grade solutions (Figma MCP Server, Builder.io, Supernova) excel in design system integration and team collaboration features
  • AI-powered development platforms (Lovable, Bolt.new, v0) prioritize rapid prototyping and full-stack capabilities
  • Traditional design handoff tools (Zeplin, Avocode, InVision) maintain focus on designer-developer collaboration workflows

Our testing revealed that modern AI-enhanced tools provide substantially different capabilities compared to traditional design handoff solutions, reflecting the evolution toward automated code generation workflows.

Design-to-code tools features comparison

Updated at 08-12-2025
ToolDirect Figma IntegrationAI-Powered GenerationMultiple Framework SupportBackend IntegrationDesign System ManagementVersion Control IntegrationCustom Code IntegrationMobile App GenerationTypeScript SupportComponent Library CreationDesign Token ExtractionInteractive PrototypingCode Review FeaturesPlugin EcosystemScreenshot-to-CodeAPI AccessSketch Import Support
Figma MCP Server
Lovable
Builder.io
v0 by Vercel
Bolt.new
Anima
InVision
Uizard
Zeplin
Adobe XD
Avocode
Clutch
Grida
Locofy
Supernova
TeleportHQ
Visily

Tool-Specific Analysis

1. Figma Dev Mode MCP Server

Figma MCP Server-design-to-code

It represents the native approach to design-to-code conversion, offering direct access to design data through Model Context Protocol integration. Key characteristics include:

  • Requires Figma desktop application setup and MCP server configuration
  • Provides comprehensive design token extraction and component hierarchy preservation
  • Current implementation remains in beta with ongoing feature development
  • Requires significant initial configuration effort

2. Lovable

It operates as a full-stack development platform that integrates with Builder.io for Figma import functionality. The platform features:

  • Workflow involves installing Builder.io’s Figma plugin and exporting selected designs
  • Transferring to Lovable’s AI-assisted development environment
  • Emphasizes rapid prototyping with backend integration capabilities
  • Supports natural language code modification
  • Requires multi-step integration processes and subscription-based access

3. Builder.io Visual Copilot

It functions as an established design-to-code platform with mature enterprise features and multiple framework output support. Platform capabilities include:

  • Integration through their Figma plugin for selecting design elements
  • Configure framework preferences and generate code with component mapping
  • Supports responsive code generation and design system integration
  • Requires learning investment for advanced functionality

4. v0 by Vercel

It focuses specifically on React component generation without direct Figma integration, requiring manual design requirement descriptions. The platform offers:

  • Emphasizes modern JavaScript patterns and performance optimization within React ecosystem
  • Provides strong typing integration and Vercel deployment pipeline connectivity
  • Usage limited to component-level development rather than full application generation

5. Bolt.new

It provides a full-stack development environment with real-time preview capabilities and application-level code generation. Key features include:

  • Operates without direct Figma integration, requiring manual design input
  • Complete application scaffolding capabilities
  • Supports backend integration and real-time development iteration
  • Covers multiple technology stacks
  • Lacks version control integration and uses file regeneration approaches

6. Anima

design to code playground

It serves as a traditional design-to-code conversion tool supporting multiple design platforms, including Figma, Sketch, and Adobe XD. The platform provides:

  • Converts static designs into responsive HTML, CSS, and React code
  • Basic interaction capabilities
  • Integration involves plugin installation and direct export functionality
  • Output often requires significant manual refinement for production use

7. InVision

It operates primarily as a prototyping and collaboration platform with limited code generation capabilities. The tool focuses on:

  • Design workflow management and stakeholder feedback collection
  • Basic design specification delivery
  • Code generation features remain basic compared to specialized conversion tools

8. Uizard

design to code uizard

It utilizes AI-powered design-to-code conversion with support for multiple input methods, including screenshots and hand-drawn sketches. Platform capabilities include:

  • Generates responsive HTML, CSS, and React code from various design inputs
  • Emphasizes rapid prototyping and iteration capabilities for non-technical users

9. Zeplin

It functions as a design handoff platform connecting designers and developers through design specification delivery and basic code snippet generation. The tool provides:

  • Design token extraction, asset management, and collaboration features
  • Requires manual code implementation by development teams

10. Adobe XD

It includes native design-to-code features through Creative Cloud integration, supporting HTML, CSS, and various framework outputs. The platform provides:

  • Design specification delivery and asset export capabilities
  • Basic code generation capabilities integrated within Adobe’s creative workflow ecosystem

11. Avocode

It serves as a design inspection and handoff tool supporting multiple design file formats with code generation capabilities. The platform features:

  • Extracts design specifications and generates CSS code snippets
  • Provides asset export functionality
  • Focuses on traditional design-to-development handoff workflows

12. Clutch

It operates as a React Native focused design-to-code platform, converting design files into native mobile applications. The tool emphasizes:

  • Mobile-first development with component generation
  • State management integration specific to React Native development workflows

13. Grida

It provides automated design-to-code conversion with Flutter and React support, utilizing AI-powered analysis for responsive layout generation. Platform capabilities include:

  • Direct Figma integration support
  • Emphasizes cross-platform development capabilities with component library generation

14. Locofy

It focuses on production-ready code generation from design files with multiple framework support, including React, Next.js, and React Native. The platform emphasizes:

  • Component optimization and responsive design conversion
  • Integration with existing development workflows through plugin-based architecture

15. Supernova

It operates as a design system platform with integrated code generation capabilities, supporting design token management and component library synchronization. The tool emphasizes:

  • Design system consistency
  • Provides code generation aligned with established design patterns and organizational standards

Shared features of design-to-code tools

All evaluated tools provide specific baseline capabilities that have become standard in the design-to-code ecosystem:

  • Basic Design Import: Support for importing design files or design specifications
  • HTML/CSS Generation: Ability to generate fundamental web markup and styling
  • Responsive Layout Support: Basic responsive design implementation capabilities
  • Component Recognition: Identification and conversion of common UI elements (buttons, forms, cards)
  • Asset Export: Extraction and optimization of images, icons, and other design assets
  • Preview Functionality: Live preview or demonstration of generated code output
  • Code Export Options: Multiple output formats or download capabilities
  • Documentation Access: User guides, tutorials, or help resources
  • Update Mechanisms: Regular platform updates and feature enhancements

FAQ

Why Figma Integration Matters for Design-to-Code Tools?

Figma has established itself as the industry standard for UI/UX design, with virtually all UI/UX designers using this platform for their design work. This monopoly-like dominance makes direct Figma integration crucial for design-to-code tools effectiveness.
When tools can directly import from Figma, they gain access to the complete component hierarchy, design tokens, and structural relationships that designers have carefully crafted. This direct access enables developers to receive a well-structured starting point that significantly accelerates the design-to-code conversion process, rather than working from flat screenshots or manual descriptions.
Tools with native Figma integration can preserve design intent, maintain component relationships, and provide more accurate code generation that aligns with the original design system architecture.

Do design-to-code tools generate production-ready code?

Most design-to-code tools generate functional code that serves as a strong foundation, but typically require developer review and refinement for production use. The code quality varies significantly between tools, with some producing cleaner, more maintainable output than others.

Can design-to-code tools handle complex applications?

Advanced tools like Figma Dev Mode MCP Server, Builder.io Visual Copilot, and Bolt.new can handle complex applications including multi-page layouts, component libraries, and interactive elements. However, complex business logic and advanced functionality typically require manual development.

What’s the difference between AI-powered and traditional design-to-code tools?

AI-powered tools use machine learning to understand design intent, generate more sophisticated code structures, and enable natural language modifications. Traditional tools follow rule-based conversion processes and typically require more manual refinement of the output.

Further reading

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Cem has been the principal analyst at AIMultiple since 2017. AIMultiple informs hundreds of thousands of businesses (as per similarWeb) including 55% of Fortune 500 every month.

Cem's work has been cited by leading global publications including Business Insider, Forbes, Washington Post, global firms like Deloitte, HPE and NGOs like World Economic Forum and supranational organizations like European Commission. You can see more reputable companies and resources that referenced AIMultiple.

Throughout his career, Cem served as a tech consultant, tech buyer and tech entrepreneur. He advised enterprises on their technology decisions at McKinsey & Company and Altman Solon for more than a decade. He also published a McKinsey report on digitalization.

He led technology strategy and procurement of a telco while reporting to the CEO. He has also led commercial growth of deep tech company Hypatos that reached a 7 digit annual recurring revenue and a 9 digit valuation from 0 within 2 years. Cem's work in Hypatos was covered by leading technology publications like TechCrunch and Business Insider.

Cem regularly speaks at international technology conferences. He graduated from Bogazici University as a computer engineer and holds an MBA from Columbia Business School.

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