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Case study

How Mixam fixes low-resolution and bleed issues with Claid AI

Mixam logo
Use case:
Image enhancement, AI outpainting
Industry:
Printing
Overview. Mixam is a technology-driven online printing platform producing a high volume of customer-submitted files. The company needed an automated way to fix low-resolution images and bleed issues without slowing down production. With Claid's APIs, Mixam upscales artwork to print-ready 300 DPI, extends images with AI outpainting, and preserves perfect color consistency. Thanks to this functionality, Mixam reduced quality complaints by 78%.
Before-and-after of a low-resolution photo upscaled 16x with Claid AI for print

About Mixam

Mixam is a global online printing platform focused on multi-page and custom print products, from books, magazines, and brochures to posters, comics, and zines. Since every manual correction adds cost, delay, and operational complexity, Mixam needed Claid AI to automatically fix and control resolution, bleed, and color accuracy.

The challenge: preparing print-ready files at scale

Mixam receives thousands of customer files every day, and many of them arrive with issues that can interrupt production:

  • More than half of uploads included images under 100 DPI, which created a risk of blurry print results.
  • Artwork often arrived without the margins needed for print production, and fixing that by hand was slow and inconsistent.
  • Even small shifts in CMYK or grayscale files are unacceptable in print workflows.
  • Mixam needed a solution that worked seamlessly with large TIFF files in a professional print environment.
Fixing low-resolution images
Handling bleed issues
Maintaining print-grade consistency
Supporting TIFF-heavy workflows

The solution: prepress workflow with Claid AI

Mixam integrated Claid's AI tools into a streamlined workflow designed for high-volume printing:

  • Smart upscaling. Low-resolution assets are automatically identified and enhanced to print-ready 300 DPI. This helps the team reduce manual correction work while giving uploaded artwork a faster path to production.
  • AI outpainting. When files arrive without proper bleed, Claid uses AI outpainting to extend the artwork naturally into the missing margins.
  • Color integrity. CMYK and grayscale files remain stable throughout processing, which is critical in a print environment where color shifts can lead to rejected files, poor output, or customer complaints.
  • TIFF support and automation. Claid also fits Mixam's technical workflow requirements by supporting large TIFF files and automated handling across multi-page and document-heavy production pipelines.
Claid AI upscaling a 500px Risograph file to a 7300px print-ready output with TIFF and CMYK toggles

The results: faster production and improved customer-facing outcomes

With Claid's AI APIs, Mixam achieved smoother production, higher consistency, and significantly less manual effort:

  • 78% fewer quality-related complaints
  • 1,000+ users per month relying on the AI enhancement flow
  • 50,000+ images processed monthly, showing strong adoption
  • Fewer prepress interruptions caused by low-resolution or bleed issues
  • Less back-and-forth with customers over technical issues
  • Faster path from file upload to print-ready approval
Traditional printing vs. Claid AI on feedback, file handling, prepress, and capacity

Partnership built for long-term automation

For an enterprise printing workflow, success depends on how the solution fits the realities of production: high file volumes, strict quality requirements, and infrastructure that cannot afford slowdowns or inconsistencies.

Claid gave Mixam a workflow layer that could support automation inside a professional prepress environment, handle complex file types, and reduce operational friction in a way that scaled with volume.

  • Dedicated support helped align the solution with Mixam's production standards and rollout requirements.
  • Scalable commercial setup made high-volume adoption viable across a demanding print operation.
  • Reliable processing reduced operational risk in a workflow where delays and inconsistencies are costly.
  • The solution gave Mixam a stronger foundation for long-term automation.

We used to only flag low-resolution images. With Claid, we can finally fix them: it removed a lot of friction for both customers and our team.

— Lucian Puca, Automation and Workflow Lead at Mixam

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