Case Study: Leading Age & Identity Verification Solutions Provider achieves 55% cost reduction with Nanonets AI OCR

Driver's License Verification with AI Based OCR

Leading Age & Identity Verification Solutions Provider needed a faster, more accurate way to verify driver’s licenses and passports during customer onboarding for hotels, insurance, and banks. As volumes grew to more than 50,000 ID documents per month, its traditional OCR workflow plus manual review became expensive, time-consuming, and error-prone, especially because ID formats varied by country and state and many images were poor quality or tilted.

Nanonets provided a custom AI-based OCR solution for driver’s license verification, trained on a few hundred customer samples and configured to extract defined fields in JSON while also checking image quality and document orientation. The solution could run on-premises via Docker for data privacy and integrated into the client’s application for real-time processing. With Nanonets, ID verification time was cut by 60% and costs fell by 55%, while accuracy reached 95% on 50,000 documents processed per month.