Image upscaling

Image upscaling is the process of increasing an image's resolution—making it larger in pixel dimensions—while maintaining or even improving visual quality. AI-powered upscaling has revolutionized this process, producing results far superior to traditional scaling methods.

How AI upscaling works

Traditional upscaling simply interpolates between existing pixels, resulting in blur. AI upscaling uses machine learning models trained on millions of images to intelligently add detail and texture when increasing resolution.

When to use upscaling

• Older product photos that are too small for modern displays
• Images cropped heavily that need to be larger
• Print production requiring higher resolution than the original
• Zoom functionality on product pages
• Large format advertising and signage

Best practices

• Start with the best quality source you have
• Upscale final images, not intermediate drafts
• Don't repeatedly upscale the same image
• Check results at 100% zoom for artifacts
• Consider 2x or 4x scaling factors for best results

Limitations

While AI upscaling is impressive, it can't add information that doesn't exist. Extremely low-quality sources will still look subpar. For best results, start with the highest quality image available and upscale as a final step in your workflow.