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AI Image Upscaler

Stop worrying about image resolution – enhance images and upgrade your low-resolution snaps with Zyro’s AI Image Upscaler.

or drop an image file (.jpeg, .png)

Powered by Zyro AI

Upscale images online

Ever taken a photo you loved, only to notice it’s too blurry to use online?

Our photo enhancer makes it easy to upscale and enlarge your images with just a few clicks.

Thanks to the artificial intelligence-powered smart upscaler, you can put your photos to work without losing quality.

Put your website or online store’s best foot forward with sharp and super-resolution images that keep visitors engaged for longer.

How to use AI Image Upscaler

Increase resolution of image with our handy tool. It’s a piece of technology that’s really easy to use, and it’s completely free too.

  1. 1. SELECT AN IMAGE

    Choose which photo you would like to enlarge and upscale.

  2. 2. UPLOAD IT

    Simply click Upload to give our tool a chance to enlarge image and boost its quality.

  3. 3. LET AI IMAGE UPSCALER DO IT’S MAGIC

    Put your feet up and relax while the computer does the hard work.

  4. 4. ENJOY YOUR UPSCALED PHOTO

    No noise and a better looking image – who knew it would be so easy and fast?

How to increase image resolution

Thanks to our smart upscaler, increasing image resolution without losing quality is easier than ever before.

Just pick the images that you think need some sharpening up and upload them to our upscaling tool. Then, let modern technology do the work.

Before you know it, the uploaded images will look like they were high-resolution all along.

Build a professional website or online store with Zyro

  • • Designer-made templates

  • • Intuitive drag-and-drop builder

  • • Integrated brand and marketing tools

  • • No coding or design skills needed

  • • Lightning-fast page speed

  • • Set up in minutes

AI Image Upscaler – FAQs

  • To upscale an image without losing quality, we use deep convolutional neural networks. You could say it’s like a brain, but a computer one.

    These networks are trained on big datasets of images, so they learn the basic properties of all kinds of images.

    For example, if the computer sees a low-resolution picture of a brick wall, it will know what the texture of brick looks like and will fill in the details of the brick wall. This way, the image becomes more realistic.

    Before machine learning and artificial intelligence, when you wanted a bigger image, you needed to repeat pixels 2 or more times to make the image bigger – but you’d still end up with a blocky-looking and blurry image.