AI Image Upscaler
Upscale any image to 2x or 4x HD resolution free in your browser using Swin2SR — a Swin Transformer V2 super-resolution neural network from Microsoft Research. The AI reconstructs fine detail lost to compression or downscaling. No signup, no watermark, 100% private. Works offline after first model load.
UPSCALE FACTOR
Drop an image here or click to upload
Supports JPG, PNG, WebP — max 10MB
Upscaled Result
How Swin2SR AI Image Upscaling Works
This AI Image Upscaler uses Swin2SR — a Swin Transformer V2-based super-resolution neural network from Microsoft Research — running via Transformers.js directly in your browser. Unlike simple bicubic resizing, Swin2SR was trained on thousands of low-resolution to high-resolution image pairs and learns to reconstruct high-frequency detail that interpolation cannot recover: sharp edges, fine textures, facial features, and text clarity. The model is downloaded once (~60MB) and cached for offline use. Last updated: March 2026.
The upscaling pipeline: your image is capped at 800px on the longest side before entering Swin2SR (to prevent out-of-memory errors on the 4x output). The neural network produces a 4x super-resolved result, which is then scaled using high-quality Canvas drawImage to your chosen target dimensions — 2x or 4x of the original. If the AI model fails, the tool falls back automatically to Canvas bicubic interpolation with an unsharp mask pass.
When to Use an AI Image Upscaler
Image upscaling is useful in many everyday situations: printing a low-res photo at large format, enlarging a product image for an e-commerce listing, improving an old scanned document, or increasing a logo's resolution for print materials. Traditional tools like Photoshop's bicubic resample produce blurry, soft results. Swin2SR reconstructs genuine high-frequency detail — the difference is most visible on faces, text, product labels, and architectural detail.
- Print preparation: Enlarge photos to meet print DPI requirements (300 DPI for high-quality prints).
- E-commerce: Scale up product photos for Amazon, Etsy, or Shopify's high-res requirements.
- Old scans: Enlarge scanned family photos or documents without losing readability.
- Presentations: Use HD images in slides without pixelation on large screens.
Swin2SR vs Traditional Resize
Standard image resize (drag a corner in Preview, Paint, or Google Slides) uses nearest-neighbor or basic bilinear interpolation — fast but produces blurry, soft results. This upscaler uses Swin2SR's transformer attention mechanism to recover edge sharpness and texture detail at a structural level. The result is visibly crisper than any simple resize, especially for text, fine lines, and facial features. For small thumbnails or icons you need to print large, use 4x; for most photos, 2x gives a natural result.
Tips for Best Upscaling Results
Start with the sharpest original image available. Swin2SR enhances what's there and reconstructs compression-lost detail — but it cannot create content that was never captured. For very blurry images, try the AI Photo Enhancer first to sharpen before upscaling. Use 2x for most cases; 4x is best for small thumbnails or icons you need to print large. JPEG-compressed images benefit most from AI upscaling because Swin2SR was specifically trained on compression artifact removal.