AI Image Upscaler (Real-ESRGAN)

Sharper images without the usual stretching

Regular image enlargement in a graphics editor or with simple apps just stretches existing pixels. As a result, you get jagged edges (pixelation), overall blur, and blocky squares along object boundaries. This tool works on a completely different principle: a neural network analyzes the image context and literally predicts details when scaling 2× or 4×.

Thanks to a specially trained neural network, lines stay sharp, small text becomes readable again, and natural textures (skin, hair, fabric, wood) get realistic detail instead of blurry patches.

Two modes: choose between quality and speed

We built a hybrid processing system so you can pick the best balance between speed and final detail for your task:

1. Quality mode (server-side AI)

This mode uses the full-size Real-ESRGAN neural network (the realesrgan-x4plus model for 4× and a separate native 2× model) running on the server. These are professional-grade algorithms for digital restoration, preparing graphics for print, and Retina display layouts.

• Maximum detail: the model can recover small elements lost to compression.
• JPEG artifact suppression: the neural network reduces noise and compression artifacts before and during upscaling.
• Server-side processing: the file is processed briefly and deleted immediately without archiving.
• Wait time: HQ can take up to 3 minutes, especially for 4×. Don't close the tab while it's running.

2. Fast mode (browser AI)

A lightweight ESRGAN Slim (TensorFlow.js) runs right in your browser. The image is processed using your device's resources.

• 100% privacy: the file never leaves your device.
• Instant results: handy for previews and small illustrations.
• No server compute limits: all the load is on your device.

Input file limits

• Formats: PNG, JPEG, WebP.
• File size: up to 3 MB.
• 2× scale: input no larger than 1500×1500 px.
• 4× scale: input no larger than 800×800 px (4× on larger frames takes too long and strains the server).
• Larger images are already detailed enough for screens; for those, it's better to crop the frame or choose 2× / Fast mode.

Who this tool is for and what it helps with

• Designers and front-end developers: a low-resolution logo or illustration can be upscaled 2×/4× before using it on a banner, business card, or poster.
• SMM and content creators: a screenshot or frame is too small for Stories or a cover image.
• Online stores: sharper product photos in the catalog.
• Home archives: old digital photos look fresher on modern monitors.
• UI/UX: icons and graphics for HiDPI / Retina without redrawing vectors.

Tips for the best result

• Stay within the limits: 3 MB; 2× ≤ 1500×1500; 4× ≤ 800×800.
• A single pass gives the best result; upscaling again creates a plastic look.
• For transparency, logos, and screenshots use PNG; for photos use JPEG or WebP.
• A very blurry original won't reveal details that weren't there.
• If HQ is busy or the file is large, choose Fast mode or 2× instead of 4×.
• In Quality mode, allow for wait time in advance (up to 3 min).

Security and privacy

In Fast mode, files never leave the browser. In Quality mode, the image goes to the server only for temporary Real-ESRGAN processing. After the result is delivered, both the input and output files are permanently deleted.