Upscayl AI UpscalerUpscayl AI

Real-ESRGAN Image Upscaler Online

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Add up to 5 images at once.

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Supports JPG, PNG, WEBP, ZIP formats, max 20.00MB each

You can select or drag up to 5 images.

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Try an example image

Preview prepared with the Real-ESRGAN image upscaler

AI upscaling for real-world images

What Is Real-ESRGAN?

Real-ESRGAN is an AI super-resolution model that enlarges low-resolution images while improving common blur, noise, and compression artifacts.

Read the official Real-ESRGAN project

Upscale Low-Resolution Images

Create a larger image from a small source without relying on basic pixel stretching alone.

Improve Blurry and Compressed Photos

Process everyday images where soft detail, digital noise, and JPEG compression may appear together.

Restore Sharper Edges and Textures

Generate clearer-looking edges and textures while keeping the original subject and composition in place.

Upscale an image in three steps

How to Upscale an Image with Real-ESRGAN

Upload the best source available, select an output size, then preview the enhanced image before saving it.

  1. Step 1

    Upload a Low-Resolution Image

    Choose a JPG, PNG, or WebP from your device, paste an image URL, or add a supported group of files.

  2. Step 2

    Choose Your Upscale Settings

    Select Standard mode, set the enlargement size and output format, then start the upscale.

  3. Step 3

    Preview and Download

    Check faces, text, fine lines, and repeating textures at full size before downloading the result.

Simple online image upscaling

Why Run Real-ESRGAN Online?

Use Real-ESRGAN through a browser-based workspace with practical controls for single images and batches.

01

No Software Installation

Upscale an image online without downloading model files or setting up a command-line environment.

02

Flexible Output Settings

Choose the enlargement size and file format that fit your website, product listing, presentation, or creative project.

03

Batch Image Upscaling

Add multiple images to one session when a project contains a set of product photos, graphics, or related assets.

04

Preview Before Download

Inspect the enlarged result for distorted text, faces, edges, or textures before using it in your project.

Popular ways to enlarge an image

Popular Real-ESRGAN Upscaling Uses

Use Real-ESRGAN when a photo or graphic is too small, soft, or compressed for its next placement.

Enhance Old Photos

Enlarge small digital photos and scans for modern screens, albums, presentations, or personal archives.

Upscale Product Images

Prepare product photos for larger ecommerce listings, storefront banners, and marketing layouts.

Enlarge Social Media Images

Resize thumbnails, posts, profile images, and promotional graphics for larger social media placements.

Upscale AI-Generated Images

Increase the resolution of AI-generated artwork before using it on a website, in a presentation, or in a design project.

Know what to expect

Real-ESRGAN Questions

Useful details about source quality, output settings, reconstructed pixels, portraits, and multi-image jobs.

What is Real-ESRGAN used for?

Real-ESRGAN was created for practical image restoration and super-resolution. It generates a larger raster image from a low-quality source while accounting for common real-world degradation.

What should I inspect after a Real-ESRGAN upscale?

Check any detail that must stay exact: faces, small type, logos, railings, fabric, foliage, and repeated patterns. These areas make model-generated changes easier to notice.

Which source files work in this workspace?

You can begin with JPG, PNG, or WebP files. A cleaner, less compressed source usually gives the model more reliable visual information to work from.

Does enlarging an image recover the original detail?

No. Information missing from the source cannot be retrieved. Super-resolution predicts plausible pixels, so the new detail may not match what existed in the original scene.

Should I use Real-ESRGAN on a portrait?

You can process a portrait in Standard mode, but inspect eyes, hair, teeth, and skin at full size. The workspace also offers a Portrait mode for face-focused work.

How is this different from changing image dimensions?

Conventional resizing calculates a bigger grid from existing pixels. Real-ESRGAN uses a trained neural network to predict additional visual structure for the enlarged output.

Can I prepare several images in one session?

Yes. The uploader can queue individual files or a supported batch. Review the displayed file and credit limits before processing a larger set.

Give a Small Image More Resolution

Load the source, choose its new size, and examine the generated detail before saving your file.

Start Real-ESRGAN Upscaling