AI Image Upscaler — Free Online

Upscale Images 2x, 3x or 4x with AI Super-Resolution

Enlarge photos, artwork, and screenshots without blurring or pixelation. Powered by Real-ESRGAN neural network for genuine AI detail enhancement.

Real-ESRGAN AI upscaling 2x, 3x, and 4x scale factors Sharpens details automatically

Drop your file here

or browse files

Up to 100 MB free • Outputs: PNG, JPG, WEBP

SSL Encrypted

Files deleted in 2h

Fast processing

No signup needed

Simple & Fast

How to Use AI Image Upscaler

Convert your files in three simple steps — no software, no signup.

Upload Your Image

Drop or browse any JPG, PNG, or WebP image you want to upscale. Up to 50 MB supported.

Choose Scale Factor

Select 2x, 3x, or 4x upscaling. The AI adds realistic detail, not just pixel interpolation.

Download HD Image

Your upscaled image is delivered as a high-quality PNG with dramatically improved sharpness.

Features

Why Use AI Image Upscaler?

Real-ESRGAN Neural Network

State-of-the-art Real-ESRGAN model generates realistic textures and fine details, not just bicubic stretching.

4x Detail Enhancement

A 500×500 image becomes a crisp 2000×2000 at 4x — suitable for large prints and high-DPI displays.

Photos & Illustrations

Works on photographs, anime artwork, digital illustrations, and screenshots — separate models optimise each type.

Private GPU Processing

Images are processed on isolated GPU instances and deleted within 2 hours — never used for training.

Colour Fidelity

The upscaler preserves and enhances original colours — no colour shifting or desaturation artefacts.

Print-Ready Output

Upscaled PNG files are suitable for large-format printing, banner design, and canvas artwork.

Compatibility

Supported Formats

All the formats you need, all in one place.

Format	Description	Extension	Best Used For
JPG INPUT	Upscale JPEG photos	`.jpg`	Portrait photos, landscapes, product images
PNG INPUT	Upscale PNG with transparency	`.png`	UI screenshots, logos, illustrations
WEBP INPUT	Upscale modern WebP images	`.webp`	Web images, downloaded assets
PNG OUTPUT (2X)	Double original resolution	`.png`	Retina displays, web 2x assets
PNG OUTPUT (3X)	Triple original resolution	`.png`	Large prints, HD mockups
PNG OUTPUT (4X)	Quadruple original resolution	`.png`	Poster prints, canvas art, restoration

FAQ

Frequently Asked Questions

We use Real-ESRGAN (Real-Enhanced Super-Resolution Generative Adversarial Network), a state-of-the-art model trained on real-world degraded images for natural-looking upscaling.

Significantly better. Standard bicubic enlargement just blurs pixels. Real-ESRGAN synthesises realistic textures, sharpens edges, and fills in plausible detail based on learned patterns.

Input images are limited to 2000×2000 pixels. At 4x scale this produces a 8000×8000 output (~64 megapixels), sufficient for A0-size prints at 96 dpi.

2x and 3x scale typically complete in 5–15 seconds. 4x upscaling on large images may take 20–30 seconds depending on server GPU load.

Yes. We use the Real-ESRGAN anime model for illustrated content, which preserves clean line art and flat colours better than the standard photo model.

AI upscaling can recover sharpness from mild blur. Severely blurry or low-resolution images (below 100px) will see improvement but cannot recover detail that was never captured.

Real-World Uses

Who Uses AI Image Upscaler?

From everyday users to professionals — see how people rely on this tool every day.

Print Designer

Enlarge for Large-Format Print

Upscale a 500×500 web logo to 2000×2000 at 4x for crisp A4 or A3 print without the blurring that bicubic enlargement produces.

Content Restorer

Restore Old or Low-Res Photos

Bring new life to scanned prints, old family photos, or low-resolution archive images by upscaling with AI-generated detail enhancement.

Game Developer

Upscale Pixel Art for HiDPI

Use the anime/illustration model to upscale pixel-art game sprites 2x or 4x while preserving sharp edges and clean colour fills.

E-commerce Seller

Improve Low-Res Product Images

Upscale supplier product photos that arrived too small for your listing requirements to a minimum 1000×1000 without JPEG artefacts.

Digital Artist

Upscale Artwork for High-Res Sale

Enlarge digital illustrations from screen resolution (72 dpi) to print resolution (300 dpi) for art prints and Redbubble/Society6 listings.

Photographer

Recover Cropped-Down Images

If you over-cropped a photo and lost too many pixels, upscale 2x or 4x to recover enough resolution for your target use case.

Why TransmuteBox?

TransmuteBox vs. Alternatives

See how we compare to desktop software and other online converters.

Feature	Our Tool TransmuteBox	Photoshop	Topaz Gigapixel
Real-ESRGAN AI model		Preserve Details 2.0
2x, 3x, 4x scale factors		2x only
Anime / illustration mode
No bicubic blurring		Partial
GPU-accelerated
Files auto-deleted (2 h)
Free to use
API access	Pro		Paid

Under the Hood

Technical Specifications

Built on industry-standard open-source tools for maximum quality and reliability.

Limits & Restrictions

Max input: 2000 × 2000 px (free)
Max output at 4x: 8000 × 8000 px (~64 MP)
Supported inputs: JPG, PNG, WebP

Real-ESRGAN super-resolution AI upscaling ESRGAN GPU neural network

Conversion Engine

Real-ESRGAN v0.3 (photo) + Real-ESRGAN Anime6B (illustration)

Output Quality

PNG output at full upscaled resolution; perceptual detail hallucination from trained model weights

Average Speed

2x: ~5–10 s; 3x: ~10–20 s; 4x: ~20–30 s depending on input size and GPU load

Data Security

HTTPS transfer · isolated GPU session · auto-purged in 2 h

Model

Real-ESRGAN (GAN-based SR)

Hardware

NVIDIA GPU inference

Output format

High-res PNG

Complete Guide

AI Image Upscaling Explained: Real-ESRGAN vs Traditional Enlargement

For decades, enlarging a digital image meant blurry, blocky results. AI super-resolution changed that. Modern models like Real-ESRGAN generate photorealistic detail rather than just interpolating pixels. Here is how it works and how to get the best results.

Why Traditional Upscaling Fails

Classical upscaling algorithms — bicubic, bilinear, Lanczos — work by interpolating values between existing pixels. They have no knowledge of what the image "should" look like at higher resolution, so they produce smooth but blurry results. Edge sharpness is lost, fine textures become mushy, and text or line art develops halos. The larger the scale factor, the worse the result.

How Real-ESRGAN Generates Detail

Real-ESRGAN is a Generative Adversarial Network trained on millions of real-world high-resolution images alongside artificially degraded (downsampled, blurred, compressed) versions. The generator learns to map low-resolution input to high-resolution output that is statistically indistinguishable from genuine high-res photos. It does not merely interpolate — it hallucinates plausible detail based on learned patterns in textures, edges, and structures.

Photo Model vs Anime Model: Which to Use

The standard Real-ESRGAN model is optimised for photographs with natural textures (skin, grass, fabric, architecture). It adds grain and texture detail that matches photo characteristics. The Anime6B model is optimised for drawn content: flat colour regions stay flat, linework stays crisp, and the model avoids adding photographic noise to illustrated elements. Always choose the model that matches your content type for best results.

Maximum Input and Output Resolution Limits

AI upscaling is computationally expensive. Processing a 2000×2000 image at 4x produces an 8000×8000 pixel (64 megapixel) output — equivalent to a medium-format camera. We cap free inputs at 2000×2000 to keep processing times reasonable. If your input is larger, resize it to 2000px on the longest edge first using our Image Resizer, then upscale.

Practical Tips for Best AI Upscaling Results

For photographs: remove compression artefacts first by running through the Image Compressor at quality 95 to clean up JPEG blocking before upscaling. For game sprites: use 4x with the anime model and ensure your input is at the original pixel-art resolution (no prior bicubic scaling). For print output: upscale to at least 300 dpi for your intended print size — a 4-inch print needs 1200px minimum.