Upscale and enlarge images with an AI image upscaler built for detail recovery.

It enlarges an image and uses an image-editing model to reconstruct plausible detail, reduce visible softness, and improve perceived clarity. This is a generative enhancement, not a forensic recovery of information missing from the source.

Upload the source and choose 2K or 4K; the default is 2K. These are resolution targets, not exact scale factors. Review dimensions and reconstructed detail in the result.

Yes, when a compatible model can produce 4K output. The tool treats 4K as a generative target, so it may redraw texture and edges rather than perform a mathematically exact format or pixel conversion.

The jobs overlap. An image upscaler primarily increases output dimensions, while an image enhancer may also reduce blur or noise, restore texture, and improve local detail. This workflow combines both when the brief calls for it.

Tell Vizify exactly what must remain unchanged. The Agent can use that constraint and inspect the result, but small faces, lettering, logos, and fine geometry may still be reconstructed imperfectly by a generative model.

Yes. Ask for deblurring, noise reduction, or gentle restoration while protecting identity, age, texture, and composition. Severely damaged or tiny sources leave more room for model interpretation.

Vizify validates the generated bytes and stores the artifact with its detected MIME type and matching filename extension. The page does not promise a specific format before generation.

Preparing the request is free. Running an image generation or edit needs sign-in; a free account includes a small shared image allowance paid from sign-up credits. More requests need Pro or a credit pack.

No. An AI upscale can create convincing new pixels, but those pixels are model-generated estimates. Keep the original file and compare important text, identity, product details, and edges before publishing the result.

A plain resize stretches existing pixels and gets softer as it grows. This AI image upscaler instead asks an image-editing model to redraw the enlarged area with plausible new detail, which looks sharper but is a reconstruction rather than a magnified copy of the original data.

It enlarges an image by predicting detail that wasn't captured, rather than stretching pixels. The result looks sharper but is a reconstruction, which is why you should compare faces, text and logos with the original.

One PNG, JPEG or WebP image up to 10 MB per request.