Identity Verification

Real-time ID Verification, powered
by Veriff

Product Overview

While our verification flows look simple, most of the work happens behind the scenes. Browser and device analytics, optional background video checks, and other data cross-checking methods run in the background to maximize accuracy without cutting your conversion rates.
We localized our end-user flows for the world�s biggest markets, and the more languages we offer, the better. With 39 languages and dialects today, our team will continue to expand our reach in a way that aligns with the strategic visions of our partners.
Our ID verification supports over 10,000 government-issued IDs from 190 countries. Our global reach allows you to verify customers from all corners of the world.
We now automatically collect the category of driver�s licenses as an additional data point if required. This can assist with verification, and also can be crucial if your customer is looking to rent or use a vehicle and you need to know if they�re allowed to drive it.
You can modify the color schemes in our end-user flows to align with your branding, as well as add your logo. From color customization to complete white labeling, our team is here to help you seamlessly integrate into your customer journey.
Our product specialists cooperate with you to determine which data inputs Veriff should gather from your users as well as what checks to conduct depending on your conversion and compliance needs. End-user flows can be as simple as an automated ID check or as advanced as a fully recorded and manually reviewed session including selfies and a photo with their selected ID.
Our verification flows come with optional background video recording, allowing us to conduct advanced fraud prevention checks with minimal input from your users. Background video is excellent for clients with a low risk appetite, but it may not be the best idea if you�re looking for a lightweight solution.
Veriff uses machine learning technology to assess client sessions in real time and guide users during photo-taking steps. Poor lighting, glare, and cropped IDs are just a few examples of how Assisted Image Capture prevalidates submissions and boosts first-time pass rates.