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Real ESRGAN enhances and upscales real-world images, restoring clarity, details, and sharpness.
[Real ESRGAN](https://realesrgan.com）Description: Real ESRGAN is a powerful, AI-based image enhancer. It restores image quality by removing blur, noise, and compression artifacts while boosting details and clarity. Built from the advanced ESRGAN model, it’s been improved to work on real-world, imperfect photos—like old snapshots, low-res downloads, or blurry phone pics. Real ESRGAN can upscale images by 2x, 4x, or 8x, giving clear, realistic results that look much better than older methods. It’s open-source, works with scripts or easy-to-use apps, and many people use it for restoring portraits, improving product photos, or sharpening digital art.
Features:
Real-World Image Restoration Real ESRGAN was trained using real degraded images, so it can beautifully fix photos with blur, noise, or compression issues, delivering natural, sharp enhancements.
Super-Resolution Upscaling It can increase image size by up to 8× while preserving fine details and realistic textures—much better than simple zoom or stretching.
Face Enhancement Options Some versions include smart face-improvement tools (like GFPGAN), which boost clarity in portraits without looking strange or overdone.
Multiple Interfaces & Wide Support You can use Real ESRGAN through command-line, GUI apps, web APIs or automation tools. It works on Windows, macOS, Linux, and supports videos, animations, and alpha-channel images with GPU acceleration.
Use Cases:
Restore Old Family Photos Bring faded or blurry photographs back to life—faces become clearer, details sharpen, and memories look fresh again.
Improve E-Commerce Listings Make product images look crisp and professional to attract more buyers, especially when originals are small or low quality.
Sharpen Digital Art and Illustrations Enhance textures and clarity in artwork or anime frames, keeping the original feel but improving visual crispness.
Upscale Video Frames or Textures Use Real ESRGAN for video enhancement or game texture work—image frames look sharper, edges cleaner, and details more vivid.
