Super Resolution
A class of techniques that enhance the resolution of an imaging system. AI Super Resolution uses deep learning to predict and generate high-frequency details that are missing in the low-resolution image.
Enhance and upscale your low-resolution images using an advanced AI model running completely in your browser. Fast, free, and 100% private.
100% Private & Local
Your images never leave your device. The AI model (~50MB) is downloaded and cached in your browser.
Hardware Limits
To prevent browser crashes, large images are automatically resized to max 400px before AI upscaling.
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JPG, PNG, WEBP (Ideal for low-res pixelated images)
Essential terms and definitions related to AI Image Upscaler.
A class of techniques that enhance the resolution of an imaging system. AI Super Resolution uses deep learning to predict and generate high-frequency details that are missing in the low-resolution image.
A traditional method of resizing images (like bicubic interpolation) that simply stretches pixels, often resulting in a blurry output. AI upscaling avoids this by reconstructing pixels.
SwinV2 Transformer for Compressed Image Super-Resolution. A specific architecture of neural networks optimized for restoring and upscaling compressed or low-quality images.
This tool uses a powerful AI Super Resolution model (Swin2SR) that understands image context to hallucinate and fill in missing details, allowing it to enlarge images while preserving or even improving sharpness.
No. The AI model (~50MB) is downloaded to your browser, and all image processing happens locally using Web Workers. Your images never leave your device.
Because the AI runs locally and requires significant memory, we automatically resize very large input images before upscaling to prevent your browser from crashing. For best results, use small or low-resolution images.
Common errors developers encounter and how to resolve them.
Image is resized before upscaling This is an intended safety feature. Browser tabs crash if they run out of RAM during heavy tensor operations. We limit the input dimensions (e.g., 400x400 max) to ensure the model runs safely on all devices.
Upscaled image looks slightly unnatural or "painted" AI hallucination can sometimes over-smooth textures, making them look like a digital painting. This is common with heavily compressed inputs like old JPEGs. Try feeding higher quality base images if possible.
In-depth articles covering the concepts behind AI Image Upscaler.