EnhanceAI is a sleek, modern web application that leverages advanced AI capabilities to upscale, restore, and refine image resolution in seconds. Built with a responsive obsidian-green design system, it provides a high-performance workspace for instant image enhancement.
🚀 Live Demo | 📦 GitHub Repository
- AI Image Upscaling: Instantly enhance resolution and restore fine details using the PicWish AI model.
- Dynamic Theme System: Custom-crafted Greenish-Black Obsidian dark mode and mint-tinted light mode.
- Interactive Dual-Preview: Side-by-side comparative workspace with quick reset and direct 4K image downloads.
- Zero Backend Overhead: Client-side API orchestration with real-time polling updates.
- Fully Responsive Layout: Built with a mobile-first approach for seamless workflow across mobile, tablet, and desktop viewports.
- Frontend Library: React.js
- Styling & Design System: Tailwind CSS
- Icon Suite: Lucide React
- HTTP Client: Axios
- AI Processing Engine: PicWish / TechHK Visual Scale API
- Deployment: Vercel
- Upload an Image: Drag and drop your image file (
.png,.jpg,.webp) into the dropzone or click to select from your device. Alternatively, click "Try sample portrait image". - Trigger Enhancement: Click Enhance Image to send the image payload to the AI scaling pipeline.
- Download 4K Result: Once processing completes, inspect the output in the comparative view and click Download 4K.
[ User Interface (React) ]
│
├──> 1. Drag & Drop File Select (ImageUpload.jsx)
│
├──> 2. Dispatch File Payload to API (enhancedImageAPI.js)
│ │
│ ├──> POST /api/tasks/visual/scale (Generates Task ID)
│ └──> Poll GET /api/tasks/visual/scale/{taskId}
│
└──> 3. Render Comparative Side-by-Side View (ImagePreview.jsx)
Contributions, issues, and feature requests are welcome! Feel free to check the issues page.
Distributed under the MIT License. See LICENSE for more information.