Case Study: Vearsa ensures book cover compliance at scale with LTU visual recognition

Vearsa - Customer Case Study

Vearsa is a software company that helps businesses sell more products online, and it needed a way to regularly verify that book cover images shown across retailer websites matched the correct released covers. With a database of more than 500,000 ebooks and millions of image checks each year, Vearsa turned to LTU and its visual recognition API to automate this compliance and image-quality task.

LTU provided an easily deployable image recognition API that Vearsa integrated into its ecosystem. The system crawls marketplace product pages, collects cover images and metadata, and then matches them against Vearsa’s reference database to flag non-compliant images. The result is a fast, scalable process that saves significant time and manpower while delivering reliable results in seconds for hundreds of thousands of images, supporting about 4.5 million annual queries and 300% yearly growth.

Vearsa