https://github.com/utkarsh5026/studio
An image analysis platform built in 💗 with react
https://github.com/utkarsh5026/studio
image image-analysis image-compression image-processing nodejs react typescript vite
Last synced: 2 months ago
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An image analysis platform built in 💗 with react
- Host: GitHub
- URL: https://github.com/utkarsh5026/studio
- Owner: utkarsh5026
- License: mit
- Created: 2025-01-06T13:23:27.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2026-01-24T20:17:23.000Z (5 months ago)
- Last Synced: 2026-01-25T08:53:16.704Z (5 months ago)
- Topics: image, image-analysis, image-compression, image-processing, nodejs, react, typescript, vite
- Language: TypeScript
- Homepage: https://utkarsh5026.github.io/studio/
- Size: 2.22 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 9
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Image Analysis Studio
A sophisticated web application for analyzing and optimizing images with detailed performance metrics, quality analysis, and compression recommendations.
## Screenshots




## 🚀 Features
### 1. Performance Analysis
- Memory usage tracking and visualization
- Bandwidth requirement calculations
- Loading time estimations
- Browser compatibility checks
- Resolution and aspect ratio analysis
### 2. Quality Metrics
- File size to resolution ratio analysis
- Loading time estimation on different network conditions
- Memory usage calculations
- Rendering impact assessment
- Network transfer size calculations
### 3. Color Analysis
- Dominant color extraction using K-means clustering
- Saturation analysis
- Web worker implementation for performance
### 4. Compression Analysis
- Format-specific optimization recommendations
- Artifact detection
- Quality impact assessment
- Lossless compression potential analysis
## 🛠️ Technology Stack
- **Frontend Framework**: React with TypeScript
- **Build Tool**: Vite
- **State Management**: Redux (with Redux Toolkit)
- **Charts**: Recharts
- **Styling**: Tailwind CSS
- **Performance**: Web Workers
- **Native Integration**: Rust (experimental)
## 🔮 Future Enhancements
1. Advanced compression algorithms
2. Batch processing capabilities
3. Export/import functionality
4. Integration with cloud storage services
5. Enhanced Rust integration for performance-critical operations