Commit

How We Cut $100+/Month in Cloud Costs and Hit 99% Data Accuracy at J1 Driving School with One Smart Engineering Decision At J1 Driving School, student onboarding relied heavily on document scanning of driver's licenses, IDs, and enrollment forms. We were running on a traditional OCR pipeline powered by Google Cloud Vision API, and while it worked... it came with a painful price tag. 🔴 The Problem with the Old System: High GCP API costs $100+ per month just for OCR calls Slow processing times that hurt the user experience Error-prone recognition leading to manual corrections Heavy dependency on cloud connectivity for every scan So we made a change. 👇 ✅ We Integrated Scanbot SDK Scanbot is a powerful on-device document scanning and data extraction SDK. The key difference? The intelligence runs locally on the device — no cloud API call needed for every scan. 💡 What Made the Difference? Scanbot's SDK leverages on-device ML models purpose-built for document recognition. For use cases like: 📄 Driver's License scanning 🪪 ID card data extraction 📋 Form capture during enrollment