v2.0: Multi-Image Batch Engine

Upscale Images.
Without Quality Loss.

UP TO 10X ULTRA-RES

Turn blurry, pixelated photos into ultra-sharp 4K masterpieces using our proprietary AI engine.

Trusted by modern teams

IH
4K High Resolution AI Upscaled Image Example
4K ULTRA HD
Blurry Low Resolution Original Photo
ORIGINAL
* Drag slider to see Neural Engine v2 in action

Professional Grade.
Accessible to Everyone.

We stripped away the complexity. Drag, drop, and get studio-quality results instantly.

Neural Engine v2

Our proprietary AI model hallucinates missing details with pixel-perfect accuracy. It's not just sharpening; it's intelligent restoration that understands texture and light.

Face EnhancementNoise Reduction

Bulk Enhance

Upload 100+ images. We process them in parallel.

Smart Resize

From icons to wallpapers. We handle any aspect ratio.

Enterprise Security

Your photos are processed on encrypted GPU clusters and permanently deleted after 24 hours. No data training.

2.4M+
Photos Processed
0.4s
Avg Speed
99.8%
Satisfaction
24/7
Support

Ready to Upscale?

Join the pro-sumers who stopped settling for blurry images.

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Popular Tools

  • AI Image Upscaler
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  • Image Resolution Increaser

Use Cases

  • Upscale Anime Images
  • Enhance Product Photos
  • Real Estate Photo Editing
  • Old Photo Restoration
  • Print Quality Booster

Features

  • Batch Image Processing
  • AI Face Enhancement
  • No Quality Loss
  • 2x, 4x, 8x, 10x Upscaling
  • Secure Cloud Processing

Comparisons

  • Waifu2x Alternative
  • Gigapixel AI Alternative
  • Photoshop Upscale Alternative
  • Best Free Image Upscaler
  • High Res Converter

ImageUpscaler is an advanced AI-powered tool designed to increase image resolution without losing quality. Using deep learning and neural networks (v2), it fills in missing pixels to create sharp, high-definition images from low-resolution sources. Perfect for photographers, designers, and businesses needing 4K and 8K assets. Supports JPG, PNG, and WebP formats with batch processing capabilities.