Yes. It is free with no signup, no usage limits, and no watermark. The AI model runs on your own device, so there is no server cost to pass on.
AI Image Upscaler
ImageEnlarge photos with a Real-ESRGAN neural network that rebuilds sharp edges and natural textures instead of stretching pixels. The AI runs locally on your device, so your image never leaves the browser.
AI image upscaler
AI upscaling that runs entirely on your device
A Real-ESRGAN model runs directly in your browser and rebuilds sharper edges and textures instead of just stretching pixels. Your image is never uploaded.
AI Image Upscaler
Use this AI image upscaler to enlarge JPG, PNG, or WebP images by 2x or 4x while keeping them sharp. A Real-ESRGAN neural network predicts the missing detail — cleaner edges, smoother lines, and more natural textures — instead of just stretching existing pixels like a normal resize.
Drop in a photo, pick 2x or 4x, and download a lossless PNG at the new resolution. Large images are processed in smart tiles with feathered blending, so results stay seamless even when the source is much bigger than the model input. Transparent areas of PNG images are preserved.
The model runs entirely on your device. It prefers your GPU through WebGPU and automatically falls back to your CPU when needed. Your image is never uploaded, no account is required, and the output never carries a watermark.
What can AI upscaling fix?
A normal resize makes existing pixels bigger and the result looks soft or blurry. An AI upscaler is trained on millions of image pairs, so it generates plausible detail where there was none. It works well for:
- Old photos and scans: sharpen prints that were digitized at low resolution.
- Product photos: take small supplier images up to listing-ready sizes.
- Screenshots and UI exports: get crisp edges instead of soft ones.
- AI-generated images: push 1024×1024 output to 4K or beyond.
- Compressed social media images: recover detail flattened by JPEG compression.
2x or 4x — which should you pick?
2x doubles both dimensions and is the safe choice for everyday photos: it keeps results natural and processes faster. 4x quadruples the dimensions and shines on small sources like icons, thumbnails, old camera photos, and AI-generated art. The output is limited to about 33.5 megapixels, so very large sources work best at 2x.
FAQ
No. Decoding, upscaling, and PNG encoding all happen locally in your browser. You can verify this in the network tab — no request carries your image.
A normal resize stretches existing pixels, which looks soft. The Real-ESRGAN neural network predicts what the new pixels should look like, so edges stay sharp and textures look natural at the higher resolution.
2x doubles the width and height; 4x quadruples them. 2x is best for everyday photos and faster processing, while 4x suits small images, screenshots, and AI art where you want maximum enlargement.
Input can be JPG, PNG, or WebP up to 10MB. The output is always a lossless PNG, and transparency from PNG sources is preserved.
The upscaled result can be up to about 33.5 megapixels (for example 5792×5792). If a 4x pass would exceed that, switch to 2x or start from a smaller image.
It works in modern mobile browsers, but upscaling is compute-heavy. A desktop browser with WebGPU support (Chrome, Edge, or recent Safari) gives the best speed.
Yes. The output image is yours, and the Real-ESRGAN model used here is released under a permissive BSD-3 license.
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