🚀 Project

Image Composer

Image Composer is a web application that alows users to make image processing and image conversion much easier, faster and more efficient.

📅

Aug 1, 2025

🛠️ Technologies Used

Built with modern tools and frameworks

ReactNextJSVercelTailwindCSSShadcnUISharp-Image ProcessImage Converter

Project Overview

ImageComposer is a modern, feature-rich web application that provides comprehensive image processing capabilities directly in the browser. Built with privacy-first principles, it allows users to compress, enhance, convert, and optimize images without uploading them to external servers.

Purpose & Mission

The primary goal of ImageComposer is to provide professional-grade image processing tools while maintaining complete user privacy. Unlike traditional online image processors that require file uploads, this application processes all images locally in the user’s browser, ensuring data security and privacy.

Key Objectives:

Provide client-side image processing capabilities
Offer multiple image optimization features in one platform
Ensure complete privacy and data security
Deliver professional-quality results
Support modern web standards and responsive design

Scope & Features

Core Features

1. Image Compression

Technology: Browser Canvas API with custom compression algorithms
Capabilities:
- Quality adjustment (1-100%)
- Format conversion (JPEG/PNG/WebP)
- Batch processing with bulk selection
- Real-time preview and statistics
- Rounded corners with adjustable radius
Performance: Up to 90% file size reduction while maintaining quality

2. SVG Converter

Technology: Canvas-based raster-to-vector conversion with SVGO optimization
Capabilities:
- PNG/JPG to SVG conversion
- Customizable output settings
- Background color and transparency options
- Metadata preservation
- Professional SVG optimization

3. AI Image Enhancement

Technology: Integration with Replicate API for AI-powered enhancement
Capabilities:
- Smart model selection (Real-ESRGAN for small images, ControlNet for detailed enhancements)
- Automatic upscaling and detail preservation
- Face enhancement and noise reduction
- Custom prompt-based enhancements

4. Manual Image Enhancement

Technology: Custom image processing algorithms using Canvas API
Capabilities:
- Brightness, contrast, and saturation adjustment
- Sharpness and noise reduction controls
- Upscaling with quality preservation
- Real-time preview with adjustment sliders

Advanced Features

Batch Processing: Process multiple images simultaneously
Drag & Drop Support: Intuitive file handling
Social Sharing: Direct sharing to social media platforms
Responsive Design: Optimized for mobile, tablet, and desktop
Dark Mode: Modern UI with theme support
Real-time Statistics: Detailed compression and optimization metrics

Technology Stack

Frontend Framework

React 18.2.0: Modern UI framework with hooks and functional components
TypeScript 5.8.3: Type-safe development with enhanced IDE support
Vite 5.0.8: Fast build tool and development server

Styling & UI

Tailwind CSS 3.4.0: Utility-first CSS framework
shadcn/ui: Modern component library built on Radix UI
Lucide React: Beautiful, customizable icons
class-variance-authority: Component variant management

Image Processing

Browser Canvas API: Core image manipulation capabilities
SVGO 4.0.0: SVG optimization and compression
Custom Algorithms: Proprietary compression and enhancement algorithms

AI Integration

Replicate API: AI-powered image enhancement models
Real-ESRGAN: Fast upscaling for small images
ControlNet Tile: High-quality enhancement for detailed images

Development Tools

ESLint: Code quality and consistency
PostCSS: CSS processing and optimization
tsup: TypeScript bundling for libraries
React Router DOM: Client-side routing

Build & Deployment

Vite: Fast development and optimized production builds
Vercel: Cloud deployment platform
GitHub: Version control and collaboration

Development Process

Architecture Overview

The application follows a modular, component-based architecture with clear separation of concerns:

src/
├── components/          # Reusable UI components
│   ├── image-composer/  # Image compression feature
│   ├── image-enhancer/  # Image enhancement feature
│   └── ui/             # Base UI components
├── hooks/              # Custom React hooks
├── lib/                # Core business logic
├── pages/              # Route components
├── types/              # TypeScript type definitions
└── utils/              # Utility functions

Development Workflow

Feature Development: Each feature is developed as a separate module with its own components, hooks, and utilities
Type Safety: Comprehensive TypeScript implementation ensures code reliability
Component Reusability: Shared components and hooks promote code reuse
Testing: Manual testing across different browsers and devices
Performance Optimization: Lazy loading, code splitting, and efficient algorithms

Code Quality Standards

TypeScript: Strict type checking enabled
ESLint: Enforced code style and best practices
Component Architecture: Functional components with hooks
Error Handling: Comprehensive error boundaries and user feedback
Accessibility: ARIA labels and keyboard navigation support

Build Process

Development Environment

# Install dependencies
npm install

# Start development server
npm run dev

# Build for production
npm run build

# Preview production build
npm run preview

Build Configuration

Vite Configuration (vite.config.ts):

React plugin for JSX/TSX support
Proxy configuration for API calls
Environment variable handling
Optimized build settings

TypeScript Configuration:

Strict type checking
Modern ES2020 target
Module resolution for clean imports
Declaration file generation

Deployment Pipeline

Build Process: Vite creates optimized production bundle
Static Generation: All assets are pre-built and optimized
CDN Distribution: Vercel provides global CDN for fast loading
Environment Variables: Secure API key management
Performance Monitoring: Built-in analytics and error tracking

Performance Metrics

Optimization Features

Bundle Size: Optimized with tree shaking and code splitting
Image Processing: Efficient algorithms with Web Workers for heavy operations
Caching: Browser-level caching for processed images
Lazy Loading: Components loaded on demand
Compression: Gzip compression for all assets