How does AI upscaling work?

Our AI model analyzes your image and intelligently fills in new pixels, preserving edges, textures, and details that traditional resizing would blur.

What scale options are available?

You can upscale images by 2x or 4x their original dimensions. A 1000x1000 image becomes 2000x2000 at 2x or 4000x4000 at 4x.

Does AI upscaling cost credits?

Yes, AI upscaling uses 2 credits per image. You can purchase credits from your dashboard.

What is the maximum input image size?

Input images can be up to 10MB. For best results, start with the highest quality version of your image available, even if it is small in pixel dimensions.

How is AI upscaling different from resizing?

Standard resizing stretches existing pixels, producing blurry results when enlarging. AI upscaling uses a trained neural network to intelligently generate new detail, producing sharp, natural-looking enlargements.

AI Image Upscaler — Enlarge Without Losing Quality

Enlarge images up to 4x their original resolution using AI-powered upscaling. Our model intelligently fills in new pixels to preserve sharp edges and fine details — ideal for enhancing low-res photos, enlarging artwork, or preparing images for print.

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Max file size: 25MB

How AI Upscaling Works

Traditional image resizing simply stretches existing pixels to fill a larger canvas. The result is a blurry, soft image because no new detail is created — the original pixels are just spread thinner. This is fine for making images smaller, but falls apart when you try to enlarge them.

AI upscaling takes a fundamentally different approach. A neural network trained on millions of images has learned what fine detail, sharp edges, and natural textures look like. When you upscale an image, the model analyzes the existing pixels and predicts what the missing high-resolution detail should be.

The AI fills in new pixels that match the texture, edges, and patterns of the original image — producing sharp, natural-looking results even at 2x or 4x enlargement. It is not simply guessing; it is applying learned knowledge of how real-world detail behaves at higher resolutions.

AI Upscaling vs Traditional Resize

Feature	Traditional Resize	AI Upscale
Edge quality	Blurry / soft	Sharp and defined
Texture detail	Smeared	Preserved and enhanced
Processing speed	Instant	A few seconds
Best for	Downscaling	Enlarging low-res images
Quality at 4x	Very poor	Good to excellent

Best Use Cases

Low-resolution photos from old cameras or phones
Small product images from e-commerce listings
Enlarging artwork or illustrations for print
Preparing social media images from small originals
Enhancing screenshots and thumbnails for presentations

Tips for Best Results

Start with the highest quality source available — AI can enhance but not invent detail that was never there.
2x upscaling produces better quality per pixel than 4x. For maximum enlargement, consider upscaling 2x twice.
Works best on photos, illustrations, and graphics. Text-heavy images may not improve as much.
Supported formats: JPG, PNG, WebP. Output matches input format.

Frequently Asked Questions

How does AI upscaling work?: Our AI model analyzes your image and intelligently fills in new pixels, preserving edges, textures, and details that traditional resizing would blur.
What scale options are available?: You can upscale images by 2x or 4x their original dimensions. A 1000x1000 image becomes 2000x2000 at 2x or 4000x4000 at 4x.
Does AI upscaling cost credits?: Yes, AI upscaling uses 2 credits per image. You can purchase credits from your dashboard.
What is the maximum input image size?: Input images can be up to 10MB. For best results, start with the highest quality version of your image available, even if it is small in pixel dimensions.
How is AI upscaling different from resizing?: Standard resizing stretches existing pixels, producing blurry results when enlarging. AI upscaling uses a trained neural network to intelligently generate new detail, producing sharp, natural-looking enlargements.