AI Image Enhancer

Enhance images using advanced AI technology with comprehensive quality improvement capabilities including resolution upscaling and clarity enhancement. This photo restoration tool processes images entirely in your browser using WebAssembly or external AI models with before/after comparison views and noise reduction. Perfect for photo restoration, image quality improvement, content creation, and enhancing low-resolution images for professional use while maintaining privacy through local processing.

Resolution Upscaling Clarity Enhancement Browser-Based Processing Before/After Comparison
Media Preview
2x or 4x resolution increase Noise reduction and sharpening Old photo restoration
Advanced Options
Preview
Processing...

Help & Related Tools

Everything you need to know

FAQ Frequently Asked Questions

How does AI image enhancement work?
AI enhancement uses machine learning algorithms to analyze image patterns and intelligently upscale resolution, reduce noise, sharpen details, and improve overall quality. The AI is trained on millions of images to understand optimal enhancement techniques.
Can I enhance old or low-quality photos?
Yes, AI enhancement works particularly well on older, pixelated, or low-resolution images. It can restore details, reduce artifacts, and significantly improve image quality for both personal photos and professional use.
Is image processing done locally or on servers?
This depends on the implementation - some tools use browser-based WebAssembly for local processing, while others use cloud-based AI models. Local processing offers better privacy, while cloud processing may provide more advanced enhancement capabilities.
What image formats are supported for enhancement?
Most tools support common formats like JPG, PNG, and WebP. The enhanced output typically maintains the original format or converts to a high-quality format suitable for your intended use.
Are there limitations on image size or quality improvements?
Results vary based on original image quality and the AI model used. While significant improvements are possible, severely damaged or extremely low-resolution images may have limited enhancement potential. Best results come from images with some existing detail.

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