DRIVERS LICENSE EXTRACTION OCR & API
Extract Drivers Licenses using Affinda’s Powerful ID Processing API. We go past OCR technology with our AI that sees documents like a human, delivering world class accuracy and speed.
Start Parsing Driving Licenses with our AI
Step 1: User Uploads Image of Their Drivers License
You send their drivers license to our API.
Step 2: VEGA Processes the Driving License
Our AI Engine, VEGA, quickly identifies the license type and all key fields, and extracts the license as clean data
Step 3: You get clean, formatted data
Use the data to verify the license
Rapid Drivers License Processing is Easier With Our AI-Powered ID Extraction Engine.
Automate your drivers license processing using our SDK. Users can upload all image types (including PNG, PDF, JFIF, JPG) and VEGA, our AI Engine will extract and send the data to you automatically, making use of Machine Learning (ML) techniques that are at the forefront of the global document processing industry.
Process Drivers License Fields Quickly With Our API
Family name
First name
Middle name
Date of birth
Sex
Effective Date
License Number
Address
License Class
Conditions
Back of License
Address Changes
Image
Barcode
You Have Options. Why Choose Affinda to Process Drivers License Data?
- Accurate: World-class accuracy delivered by VEGA, our groundbreaking AI
- Fast: Extract Drivers License data in less than one second
- Secure: On-prem options available
- Flexible: We can work with you to adapt to your unique needs
Vega: Our Intelligent Document Processing Engine
VEGA processes documents combining human-like understanding and computer-grade accuracy combining the latest in the AI advancements
Natural language processing
Computer vision
Deep learning
Where Affinda really stood out out head and shoulders above the others is in their level of support and attention to the customer.
Verified Review
G2.COM
Overall, we are very happy with having switched. Problems are resolved quickly. We have some unique requirements and they were able to work with us on that.
Verified Review
Sourceforge.net
AI Experts. Specialists in Document Extraction.
Affinda is a team of AI nerds, headquartered in Melbourne, Australia and with a global team spanning the world. We specialize in solving novel document extraction problems and have built custom AI solutions for use cases across Insurance, Banking, Investment, Logistics, Recruitment and Finance.
Get in Touch to Discuss Your Project
We can customize our technology to meet your specific needs. With teams in Europe, North America and Australia, we can help – no matter where you are.
Frequently asked questions:
Our technology is used to extract all the important information from an ID document. Modern ID document parsers like Affinda's leverage multiple AI neural networks and data science techniques to extract structured data. Typical fields being extracted may include the document number, first name, middle name, last name, date of birth, address — plus much more. Our ID document extraction tools can be integrated into a software platform, to provide near real time automation.
Affinda’s ID document OCR extractor is capable of extracting data from Passports, Driver’s Licenses and Birth Certificates. If you require additional ID documents and fields to be extracted, please reach out to our AI experts.
Good intelligent document processing requires a combination of technologies and approaches.
Our solution uses deep transfer learning in combination with recent open source language models, to segment, section, identify, and extract relevant fields.
We use image-based object detection and proprietary algorithms developed over several years to segment and understand the document, to identify correct reading order, and ideal segmentation.The structural information is then embedded in downstream sequence taggers which perform Named Entity Recognition (NER) to extract key fields.Each document section is handled by a separate neural network.Post-processing of fields to clean up location data, phone numbers and more.Comprehensive skills matching using semantic matching and other data science techniques
OCR stands for Optical Character Recognition. Affinda’s software uses OCR to convert an image that doesn’t have text data — such as a photo of an ID document — into a file that is machine-readable.
All uploaded information is stored in a secure location and encrypted. You can read all the details here.
We export the data from our ID documents in JSON format so that it can be most easily integrated into your platform or database.
We’d be happy to build you an ID document parsing tool with custom fields specific to your use case. Just click here to get in touch with our development team!
We’d be happy to build you an ID document parsing tool for another document that we don't currently have listed. Click here to get in touch with our development team and we can discuss your use case.
Our Online App and ID document API will process documents in a matter of seconds. If you’re looking for a faster, integrated solution, simply get in touch with one of our AI experts.
Our ID document reading functionality is designed to be flexible, easy to integrate, and simple enough to white-label. Click here to get in touch with our sales team and discuss licensing within your app or platform.
Affinda's ID document extracting software uses machine learning and natural language processing to observe and adapt to differing documents. The software uses a dynamic approach where it is uses human like logic to recognise different document types and characteristics and build and apply a library of logical reasoning
Pricing varies depending on the integrations you’ll be using, as well as the number of ID documents you’ll be parsing each month. Please get in touch with our sales team to learn more!
Simply sign up for a free trial and start uploading your passports, licenses and birth certificates in bulk, in any common image or text format, such as .pdf, .doc, .docx, .odt, .png or .jpg. That’s all there is to it!
Our free online ID document parser accepts .pdf, .doc, .docx, .odt, .png and .jpg formats.