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Driver License OCR
Browse use cases
Ranked as High Performer on G2 (4.9 of 5)
Take a moment to upload your own driver licenses and test Nanonets OCR capabilities. Get a firsthand look at how it works on your own documents.
Driver license OCR is a technology that uses optical character recognition (OCR) to extract information from driver's licenses. This technology can quickly and accurately read information such as name, address, date of birth, and license number, eliminating the need for manual data entry. It is commonly used in identity verification, age verification, and customer onboarding processes.
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No need to spend time training a driver license OCR model from scratch - our solution already recognizes a wide variety of driver license fields.
Say goodbye to errors and hello to real-time document processing. Nanonets takes care of this and lets you focus on what matters most - your business.
Capture or import data from any source or in any format including, images, PDFs, scans, paper documents, emails, cloud storage, APIs and more.
Our OCR APIs have been rigorously tested and pre-trained on millions of documents, ensuring high accuracy and reliability from day one.
Set up completely automated workflows to handle file imports, data formatting, data validation, approvals, exports and integrations.
Reduce time spent on inefficient manual tasks and avoid data entry or validation errors that could burn a hold in your pocket.
Integrate your existing business tools seamlessly with Nanonets to automate data collection, exports storage, bookkeeping, and much more.
Turn your organisation 10x more productive by allowing teams to focus entirely on core activities while Nanonets handles everything else.
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