HelpKoder provides AI-powered analysis transforming screenshots into complete development contexts, extracting color schemes, component structures, and detailed implementation guides for frontend, backend, database, and deployment.
Features
Visual Analysis
Extracts exact color values, typography, spacing, and component specifications including dark mode variants from uploaded screenshots.
Technical Architecture
Generates complete frontend, backend, and database architecture with an implementation roadmap and best practices.
Development Guide
Offers step-by-step implementation guides with code examples, testing strategies, and deployment workflows.
Screenshot Analysis
Transforms UI screenshots into actionable development insights by analyzing design elements and suggesting improvements, leading to faster implementation.
AI Analysis Service
Provides analysis using AI to deliver insights and improve service quality.
GitHub Integration
Allows user authentication and access through GitHub for ease of use.
Secure Data Storage
Utilizes AWS S3 and PostgreSQL for secure data storage, ensuring your screenshots and analysis results are safe.
Color Scheme Extraction
Automatically extracts and suggests color schemes from your UI screenshots, helping you maintain design consistency.
Project Structure Analysis
Provides insights into the project structure based on the uploaded UI, assisting in organizing development roadmap.
Development Roadmap Generation
Helps create a structured plan for development steps tailored to your UI design needs.
Intelligent Color Analysis
HelpKoder doesn't just extract colors; it understands their relationships and suggests semantic usage, helping in defining color tokens for consistent design application.
Accessibility Checks
Every analysis includes accessibility recommendations to improve color contrast, semantic structure, and navigation elements, ensuring designs meet accessibility standards.
Responsive Design Analysis
HelpKoder provides insights and recommendations for adjusting design layouts for different screen sizes, enhancing the adaptability of UI designs across devices.
Intelligent Code Completion
This feature provides context-aware code suggestions to help developers write code faster and more accurately.
Automated Code Review
AI systems that automatically detect potential bugs and security vulnerabilities in the code, improving overall code quality.
Smart Refactoring
Uses AI to restructure code while maintaining its functionality and improving its quality.
Test Generation
Automatically creates test cases based on code analysis to streamline the testing process.
Design Token Extraction
Automatically extracts color palettes, typography scales, spacing, and other design tokens from UI designs to ensure consistency in implementation.
Component Recognition
Uses AI to identify UI patterns, components, interactive elements, and layout structures to streamline the development process.
Accessibility Analysis
Provides automated checks for color contrast, semantic HTML, keyboard navigation, and screen reader compatibility to improve user accessibility.
Semantic HTML
Uses proper HTML elements like buttons instead of generic divs for better accessibility.
ARIA Attributes
Enhances accessibility by adding ARIA labels when semantic HTML isn't enough.
Color Contrast
Ensures text and UI components have sufficient color contrast for better readability.
Keyboard Navigation
Facilitates complete keyboard navigation with logical tab orders and focus indicators.
Automated Testing Tools
Integrates tools like Lighthouse and WAVE for automated accessibility testing.