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Case study

From hours to minutes: how Caranty improves car listings with Claid AI

Caranty
Use case:
AI image enhancement
Industry:
Automotive
Overview. Caranty is a used car marketplace in Mexico focused on making car buying and selling simpler and safer. As listing volume grew, manual photo editing became a bottleneck that slowed publishing and made image quality harder to control. With Claid AI, Caranty reduced photo processing time from up to 1–2 hours per car to around 2 minutes, improved listing quality, and automated tasks like license plate blurring.
Caranty car listing showing AI-enhanced photo quality and 30x faster processing

About Caranty

Caranty is an online platform for buying and selling used and low-mileage cars in Mexico. Rather than operating like a traditional dealership, it enables individuals to set prices and negotiate directly, while adding trust through secure payment handling and financing options. Founded in 2020, Caranty has grown into a trusted marketplace for people who want a smoother way to buy or sell a car.

The challenge: manual editing slowed listings and hurt consistency

Before integrating Claid's API, Caranty relied on manual photo editing to prepare vehicle images for the marketplace. That process became increasingly difficult to maintain as more listings came in.

Because sellers uploaded their own photos, image quality varied widely. Some were well shot, while others had poor lighting, inconsistent framing, or distracting backgrounds. Manual editing helped improve the final result, but it also created delays and operational strain.

Caranty needed a solution that could:

Improve mixed-quality seller-uploaded photos
Reduce the time spent editing each car's images
Blur visible license plates automatically for privacy
Keep image files optimized for site speed
Car editing workflow in Caranty demonstrating AI-enhanced listing photos

The solution: an automated enhancement workflow for car listings

To replace slow manual editing, Caranty integrated Claid's image enhancement tools directly into its photo upload workflow. This made it possible to improve listing photos automatically before publication.

The workflow included:

  • Background removal to make cars stand out more clearly
  • Smart resizing and cropping to standardize image dimensions and composition
  • HDR adjustment to balance lighting and reduce overly dark or bright areas
  • License plate blurring to protect seller privacy automatically
  • JPEG cleanup to remove digital noise and compression damage
  • Size optimization to keep photos lightweight without sacrificing visual quality

Together, these steps helped Caranty create a more consistent visual standard across listings while keeping the marketplace fast and user-friendly.

Canvas showing standardized and enhanced car listing photos after Claid AI processing

The results: faster publishing, stronger visuals, better trust

With Claid integrated into the workflow, Caranty improved both the speed and quality of its listing process.

This helped the team:

  • Cut processing time by 30x. Caranty reduced photo editing time from around 1–2 hours per car to about 2 minutes.
  • Publish listings faster. Cars could go live much sooner, without waiting for manual editing queues to clear.
  • Improve image consistency across the marketplace. Standardized, enhanced visuals made listings look more polished and professional.
  • Automate privacy protection. License plates were blurred automatically, removing a manual step and reducing risk.
  • Keep the website fast. Image improvements did not bloat file size, helping preserve performance for web and mobile users.
  • Increase confidence for both sellers and buyers. Better photos made listings more trustworthy and helped present vehicles in a stronger light.

Partnership built around marketplace performance

Claid supported Caranty with more than better-looking photos. The integration gave the marketplace a reliable way to automate a critical part of listing preparation and scale without adding manual overhead.

The partnership delivered:

  • Automation for a high-friction workflow. Claid replaced a slow editing process that had become difficult to manage as volume grew.
  • Multiple image operations in one flow. Caranty could handle enhancement, privacy protection, resizing, and optimization in a single workflow.
  • Better operational speed. Faster processing reduced delays and helped keep new inventory moving onto the platform.
  • Consistent quality at scale. Claid helped standardize seller-uploaded photos despite wide variation in source quality.
  • Room to keep improving. As Caranty grows, the team can continue refining listing visuals with additional Claid capabilities such as generative resize.
Quote from Arturo Diaz, CTO of Caranty

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