AI Image Upscaler

The browser draws your original image onto a display screen element at the target dimensions (2x or 4x). This is a pixel interpolation process the browser calculates approximate values for the new pixels between existing ones. An optional sharpening filter then increases the contrast at edges to improve perceived detail. The optional Neural Network mode uses a lightweight model to attempt to restore edge detail more accurately.

No upscaler web based or otherwise can add detail that does not exist in the source image. What upscaling does is increase the number of pixels so the image can be displayed at larger sizes without visible pixelation. The sharpening filter and neural network mode improve the perceptual quality of the result but do not restore information that was never in the original.

Enabling the Neural Network option downloads a lightweight machine learning model (~5MB) to your browser. This model applies learned upscaling that can produce sharper and more detailed results than straight pixel interpolation, particularly for photographic content. The download happens once per browser session and does not leave your device.

Use 2x when you need a moderate size increase for example, preparing a small image for use at double resolution on a high DPI (Retina) screen. Use 4x when you have a small image that needs to appear at a much larger size, such as a low resolution product logo. Note that 4x creates a file with 16 times as many pixels as the original, producing a large output file.

Preparing a small logo or icon for high resolution printing; making a low resolution product photo larger for an online store listing; creating a retina compatible (2x) image for a website; enlarging a thumbnail sized image for preview or presentation purposes.

web based upscaling is convenient and private, but results are generally less sophisticated than dedicated AI upscaling services that run remote server models trained on millions of images. For professional photography, forensic upscaling, or printing at very large sizes, a remote server AI upscaling service may produce technically better results.

JPEG, PNG, WebP, and other formats your browser can display are accepted. Output format matches the input format where possible.

Yes. A 2x upscale results in roughly four times as many pixels as the original, and a 4x upscale results in sixteen times as many pixels. File sizes grow proportionally. A 200KB JPG might produce a 1 2MB upscaled output at 4x.

No. All upscaling including the optional neural network step runs locally inside your browser. If you choose the Neural Network option, the model is downloaded from the web once per session, but your image is never transmitted.

Yes. Upload multiple images at once. The same scale and enhancement settings apply to all files, and each can be downloaded individually.