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Image Upscaler

Upload a low-resolution image and choose a scale factor up to 4x. The Real-ESRGAN model synthesizes missing detail rather than stretching pixels, so the enlarged output has genuine texture and edge sharpness. An optional GFPGAN pass sharpens facial details in portraits separately before the final file is generated.

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JPG, PNG, WebP (max 10MB, max 1440p)
Improves faces using GFPGAN

Examples

Why Choose Our AI Image Upscaler

2x, 3x, or 4x Scale Options

Choose how much to enlarge: 2x doubles each dimension, 4x produces an image sixteen times the original pixel count. The model fills in the new pixels with plausible detail rather than interpolating from neighbors.

Optional Face Restoration

When the "Face Enhancement" option is enabled, GFPGAN separately restores facial features before the final output is assembled. This corrects blurry eyes, skin texture, and detail around the hairline in portraits that have degraded over compression or low resolution.

Generated Detail, Not Stretched Pixels

Simple upscaling (like bicubic) just distributes existing pixels across more space, leaving the image blurry at high magnification. Real-ESRGAN was trained on millions of image pairs to predict what a high-resolution version of a scene should actually look like.

5 to 15 Second Turnaround

Most upscaling jobs complete in 5 to 15 seconds. Larger source images or the 4x scale factor can add a few seconds, but you are rarely waiting more than half a minute for the result.

Perfect For

Print Enlargement Social Media Photography E-commerce Wallpapers Photo Restoration Web Design Art Prints

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Real-ESRGAN Super Resolution

Real-ESRGAN is a generative model trained for the specific task of image super-resolution. It was trained on paired images at multiple resolution levels, learning which high-frequency textures, edges, and micro-detail patterns correspond to low-resolution inputs. When you upscale a photo, it applies that learned knowledge to generate what the missing pixels should realistically look like.

The practical difference versus simple interpolation is visible in fur, foliage, text, and fabric, which all come out with actual texture rather than smeared color blobs. The optional GFPGAN layer runs after the main upscale and applies a face-specific restoration pass, which matters most for old or very small portrait photos where face detail is the primary concern.

Frequently Asked Questions

Upload your image, choose a scale factor (2x, 3x, or 4x), and optionally enable the face enhancement toggle for portraits. Click upscale and the Real-ESRGAN model generates the enlarged version. When face enhancement is on, GFPGAN runs as a second pass on the facial regions before the final file is delivered.

JPG, PNG, and WebP are all accepted. The tool works on everything from small compressed web images to large photographic files. Even heavily compressed JPGs can be improved, though starting from a less-degraded source always produces a better result at the same scale factor.

Most images process in 5 to 15 seconds. A very large source file or the 4x scale with face enhancement enabled can take slightly longer, but it is rarely more than a minute. A progress indicator shows while the model is running.

Uploaded images are processed only to fulfill your upscaling request and are not shared with third parties or used for model training. You keep full control over both the original and the upscaled output.

The upscaled image has synthesized detail at the new resolution rather than blurry interpolation artifacts. Colors and tonal values are preserved from the original. Edges and textures come out sharper than simple enlargement. For portraits with face enhancement enabled, eyes and skin detail are additionally refined by the GFPGAN pass.

One image at a time. Download the result, then upload the next file. The settings (scale factor and face enhancement toggle) stay as you left them between uploads, so you do not need to reconfigure for each image in a set.

No. Select the scale factor, toggle face enhancement if needed, and click upscale. There are no curves, masks, or layer settings to configure. The model makes all the decisions about how to fill in the added resolution.

The upscaled image downloads as a PNG. PNG preserves all the detail the model generated without introducing additional compression artifacts. You can convert to JPG afterward if your target platform requires it, but the lossless PNG is what the tool delivers.

When you upscale your own image, the output is still your image at higher resolution. The tool does not add any restrictions. Use the result in e-commerce listings, print runs, ads, or anywhere else you use the original.

Photoshop's bicubic sharper and Lightroom's Enhance both use interpolation or basic AI estimation. Real-ESRGAN was trained specifically for super-resolution on large datasets, which makes it particularly effective on photos with natural textures like grass, hair, and fabric. The face restoration step from GFPGAN also goes further than generic sharpening filters for portraits.

AI Image Upscaler: Enlarge Photos to 4K Free Online vs Other Methods

Feature Luxoret AI Manual / Traditional Other Tools
Cost per Use $0.19 $50-$200+ per project $0.15-$0.30 per image
Speed Results in seconds Hours with Photoshop Minutes per image
Skill Required None — fully automated Professional editing skills Some learning curve
Quality AI-powered, photorealistic Depends on editor skill Template-based, limited
Accessibility Browser-based, any device Desktop software required App or desktop required
Revisions Unlimited instant retries Time-consuming redo Limited by credits