How Mixtiles Improves the Quality of User Photos with AI

Even though these images look good on a mobile screen, their quality is often not enough for printing. For example, to print an 8 by 8-inch canvas at 150 DPI, you need a source image with at least 1200 pixels in width and height. And a typical Instagram photo is only 1080x1080 pixels.

Regular upscaling methods just stretch images out, making them blurry or blocky. 

1. AI-powered quality restoration 
Unlike traditional software, a neural network can reconstruct the details and add missing pixels. Claid’s AI was trained and perfected while enhancing millions of images and was proven across multiple real-world use cases. 

2. Flexible integration capabilities 
It’s fully customizable—you can combine upscaling, color correction, and other features or use them separately—and ready for production at scale. In other words, Claid offered precisely the kind of service Mixtiles was looking for.

A specialized network increases resolution and removes compression artifacts.

This results in superb printing quality, which is the core component for Mixtiles’ business.

After the integration with Claid, Mixtiles lowered the recommended minimum resolution for uploading photos from 800x800 to 499x499 pixels.

Automatic AI upsampling gives users the freedom to choose from a wider range of photos and print out even small pictures in excellent quality.

1. Automated & Fast
Enhancement happens seamlessly in the cloud without slowing down user experience or Mixtiles’ workflows.

2. Flexible API 
Let’s Enhance preserves original colors, which was one of the Mixtiles’ requirements. A customizable API allows you to put together different operations depending on the specific needs of each business.