The building blocks for adding identity verification and information gathering functionality to any existing application. All Developer Tools are up-to-date, fully tested and well-documented.Demo Our Technology
Document Verification Services
The Document Verification Service (DVS) is able to parse both PDF417 barcodes and Machine Readable Zones using enhanced computer vision techniques. DVS also leverages sophisticated machine learning algorithms to validate a document's data and this solution will help give you confidence that you have done everything possible to verify a potential customer's identity.
IDScan.net’s ID Parsing SDK allows you to incorporate ID reading capabilities into your application. Our state-of-the-art component is able to read in digital data from the magnetic stripes and 2D barcodes from driver’s licenses, state-issued ID cards, military ID cards, common access cards (CAC), gun permits, and Canadian health cards.
IDScan.net's Camera ID Scanning SDK allows an iOS and Android application to capture information from the 2D Barcode on a Driver’s License or ID using the device's camera. A Passport MRZ Camera Scanner SDK is also available for iOS and Android.
Screening service allows you to define the person you are dealing with isn't a criminal, not involved in any fraud or any other illegal activity. Service also provides the set of questions to check person in question/answer format.
- Sex offender
- Federal Criminal Records
- Nationwide Criminal Records
We've developed a solution which allows developers easily integrate documents validation into their products. The solution performs not only data retrieving but also verifies a document utilizing multiple light sources, machine learning algorithms and a lot of additional security checks.
We provide developers the best way to add face analysis into their apps. Our Human Analytics platform lets you integrate emotions, identity and demographic data into your products with only a few lines of code. This facial recognition software can recognize and measure people in any video, image or photo through computer vision and machine learning.
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