Credits¶
ImgCompress is built upon a foundation of industry-leading open-source technologies. This page serves as a tribute to the tools and communities that enable high-performance, private image optimization.
Assets & Media¶
Image Attributions
Picture by Evening_tao on Freepik. This is used as a demonstration asset for AI background removal examples.
Core Processing Engine¶
| Component | Technology | Role |
|---|---|---|
| Local AI | rembg | Powered by the U2-Net model for offline background removal. |
| Execution | onnxruntime | High-performance inference engine for local AI model execution. |
| Image Logic | Pillow | Standard Python library for image manipulation. |
Frontend & Interface¶
| Component | Technology | Role |
|---|---|---|
| Web Framework | Next.js | Powers the responsive, high-performance user interface and dashboard. |
| UI Components | shadcn/ui | Accessible and modern UI components used to build the ImgCompress interface. |
| Styling | Tailwind CSS | Provides the modern, utility-first styling for a clean and accessible UI. |
| Icons | Lucide | Beautifully crafted, consistent icons used throughout the application. |
Infrastructure & Hosting¶
| Component | Technology | Role |
|---|---|---|
| Containerization | Docker | Ensures "works everywhere" portability and strict process isolation. |
| Distribution | Docker Hub | Reliable hosting for the official imgcompress container images. |
| Networking | AWS Route 53 | Highly available and scalable Cloud DNS for my domain. |
| Hosting | AWS CloudFront + AWS S3 using AWS CDK | Fast and secure static hosting for this documentation portal. Want to see the original CDK script that deploys it? infra. |
Documentation Framework¶
| Component | Technology | Role |
|---|---|---|
| Framework | Zensical | Serves as the high-performance foundation for this site, augmented with custom JavaScript and CSS to provide the unique ImgCompress Website user experience. |
Privacy & Security¶
Privacy Commitment
By utilizing these local-first libraries, ImgCompress guarantees that no images, metadata, or behavioral data ever leave your local network.