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Case study

How Mixtiles improves the quality of user photos with Claid AI

Use case:
AI upscaling
Industry:
Print
Overview. Mixtiles uses Claid AI to turn low-resolution, compressed user photos into print-ready wall art at scale. By integrating Claid's upscaling API into its workflow, the company improved print quality, while preserving original colors, and lowered minimum upload requirements to give users more freedom to print the photos they want.
Mixtiles photo quality improvement demonstration

About Mixtiles

Mixtiles is a digital platform that turns users' photos into printed wall art. Their mission is to make the most beautiful, simple, and affordable framed photos.

The challenge: poor quality of photos from social media

To save bandwidth and storage, social media apps downscale and compress photos. 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.

Mixtiles was looking for a solution that could:

Restore the quality of compressed images
Keep the content of images unchanged
Increase the resolution and DPI
Handle large volumes with low response times

The solution: AI upscaling

Regular upscaling methods just stretch images out, making them blurry or blocky. Mixtiles was looking for:

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. Plus, it's ready for production at scale. Claid offered precisely the kind of service Mixtiles was looking for.

The results: better print quality, more usable uploads

With Claid AI integration, Mixtiles achieved the following:

  • 5x higher resolution on average. Claid increases the resolution of Mixtiles users' photos by 5x on average, making low-res uploads suitable for high-quality printing.
  • Compression artifacts cleaned up automatically. Images are processed to reduce visible compression noise and damage, so prints come out cleaner and sharper.
  • Lower minimum upload requirements. After integrating Claid, Mixtiles reduced its recommended minimum upload size from 800×800 to 499×499 pixels.
  • Strong color preservation. Claid AI preserves original colors, which was one of the Mixtiles' requirements.
  • Stronger print quality at scale. Better input quality means more consistently sharp, high-quality prints, which is core to the Mixtiles experience.
Quote from Ido Grosberg, Engineering Team Lead at Mixtiles

Custom API integration and partnership built for scale

The integration was designed to give Mixtiles a reliable, scalable setup backed by hands-on support.

  • Flexible API built around Mixtiles' needs. The API is configured to combine different operations depending on the workflow, giving Mixtiles a setup tailored to its exact print-quality standards.
  • Automated and fast integration. AI enhancement runs seamlessly in the cloud, so Mixtiles can improve low-resolution photos automatically without adding friction to the user experience or slowing down internal workflows.
  • Hands-on technical partnership. Beyond the integration itself, the collaboration was built to support long-term performance. Mixtiles worked closely with the team to adapt the solution to its product requirements and make sure image enhancement fit smoothly into the existing pipeline.
Before and after comparison of AI upscaling showing improved photo quality

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