Photo ID OCR (Optical Character Recognition) API is the most efficient OCR out there. Our systems use our OCR technology to scan the image for field’s like full name, address, mobile number, gender, date of issue and all the ones that are mentioned on the photo ID are extracted, and then data verify it with the image available in the government’s database.
INTRODUCTION
Photo ID OCR API gives 99% accurate results within a few seconds. Our photo ID verification process is also easy to use. Simply scan the photo, our OCR technology will extract the data and display the results on your screen. We provide OCR APIs for all kinds of photo IDs.
Features
Plug and Play
The Photo ID OCR API is straightforward and integration is effortless, We provide a simple and user-friendly interface.
Prevent Fraud
The process will save any institution that has been and can be a victim of fake cardholders. Photo ID OCR API will easily detect such frauds.
Accurate and Reliable
Our system reads the information from the Photo ID. Therefore, the results are correct and accurate.
SUPPORT
Photo OCR API is a robust system which helps an enterprise to authenticate the Identity card of any individual with highest accuracy in record time by extracting the data from an photo of an ID card.
The input that the user gives in the form of a photo is guided through our AI system where the data is extracted from the uploaded documents.
Then the data can be verified in accordance with the government’s standard and then a validation statement is provided.
There are basically five types of OCR APIs available to verify the Identity of a person. Aadhaar, PAN, DL, Passport & Voter ID are those five Photo OCR APIs. We are continuously working to develop more.
Our ID OCR is an AI based OCR trained by using a million datasets, so it can extract the data instantly from the photo ID and can automatically fill the fields within seconds.
Yes, like any other OCR, our OCR is also prone to some errors but those errors are less than 0.01% as our AI based OCR has been trained by a data set of more than a million IDs.
Case Study
Our client works in the field of buying and selling of second hand bikes and scooters all over India.
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