인공지능 이미지 업스칼러 - 온라인 사진 확대

The AI analyzes your image and predicts missing detail to add pixels intelligently. Unlike simple resizing that just blurs, AI upscaling reconstructs sharp edges, textures, and fine details.

2x doubles dimensions (4x total pixels) and gives the most reliable results. 4x quadruples dimensions (16x pixels) but may introduce artifacts on some images. Start with 2x.

Photos, illustrations, and game screenshots upscale well. Text-heavy images, heavily compressed JPGs with visible artifacts, and very noisy images may not improve much.

Depends on your GPU and image size. A typical photo takes 5-30 seconds. The AI model loads on first use (a few seconds), then subsequent images are faster.

Input images up to 20MB and 10 files per batch. Very large images (4000x4000+) may be slow depending on your GPU. For best performance, keep inputs under 2000x2000.

Yes, that is the primary use case. Old family photos, small web images, and low-res screenshots all benefit from AI upscaling. Results are best when the original is not too blurry.

PNG, to preserve maximum quality without additional compression. You can convert to JPG or WebP afterward if you need a smaller file.

It works on phones with WebGPU or WebGL support, but upscaling is resource-intensive. Desktop or laptop gives the best experience.

AI upscaling produces sharper results than traditional bicubic interpolation. It is comparable to Photoshop's "Preserve Details 2.0" but runs in your browser with no subscription.

Yes. The ONNX model runs on your device via WebGPU or WebGL. Your images are never uploaded to a server.