Case Study: NextGem achieves accurate digital card scanning with [x]cube LABS

NextGEM achieves 98%+ scan accuracy with [x]cube LABS

NextGem, a consumer platform for sports card collectors, faced the challenge of creating high-quality, usable digital copies of physical trading cards. Their existing process was plagued by issues like image tilt, background clutter, and failed data extraction, which led to cataloging errors and user frustration. They engaged [x]cube LABS to build a machine learning-powered scanning solution to automate and perfect this digitization.

[x]cube LABS developed an intelligent ML scanning system that processes images through a multi-stage pipeline. This system automatically corrects perspective, removes backgrounds, extracts data via OCR, and generates multiple image views. The result was a 98%+ scan accuracy rate, enabling NextGem to offer collectors a trusted, automated path to creating flawless digital assets for cataloging, trading, and valuation at scale.

NextGEM