Introducing IDLive® Doc

The World’s First Standalone Document Liveness Detection Solution

What is Document Liveness Detection?

Bad actors use digital images of valid or altered driver’s licenses, passports, and other identification documents in their attempts to spoof identity verification processes. Document Liveness Detection uses AI and computer vision to distinguish between an original document and a digital image of a document shown on a mobile device or computer display.

IDLive Doc from ID R&D detects digitally-displayed document spoofs.  The product builds on ID R&D’s deep expertise in single image passive facial liveness, which detects the use of photos, screen replays, and masks during facial matching. Pilot deployments of IDLive Doc have already revealed that document spoofing with digitally-displayed images is on the rise and more common than realized.

ID R&D’s IDLive Doc saved RealAML years of in-house development, helped acquire new customers, and immediately demonstrated its ability to stop fraud attacks. IDLive Doc integrated seamlessly into our existing KYC process without disrupting other core components.

Jordan McCown

CEO & Co-founder


Ensure that ID documents are present and in the possession of their owner.

Banks and other institutions increasingly allow customers to set up accounts remotely using an onboarding app on a mobile device along with the potential customer’s identity documents. Digital onboarding, also known as electronic Know Your Customer or eKYC, is a great convenience to customers but creates an opportunity for fraud starting with the presentation of the identity document.  Is the document physically there? Or, is the person displaying a photo of a real or digitally manipulated document on their mobile phone or computer monitor? 

Identity document fraud using a digitally-displayed image is called a document screen replay attack. Screen replay attacks are accelerating, yet many onboarding systems cannot reliably detect them. Often the spoofed document is not discovered until much later in the customer lifecycle when other red flags trigger an audit. ID R&D’s new product, IDLive Doc, detects a screen replay at the time of the attack, preventing fraud before it can causes damage.

Add Document Liveness to your solution in less than a day

IDLive Doc is easily added to any existing remote onboarding system to stop screen replay attacks of identity documents. Once the IDLive Doc Docker image is installed, all that is needed is one API call with a payload of the same image already captured for identity document verification. IDLive Doc provides the probability of document liveness and you choose how to respond if a screen replay attack is detected. You can be up and running in hours.

Watch a short video demo

Where Does Document Liveness Fit in the Customer Journey?

Document Liveness for Identity Proofing

Minimize the number of attack vectors in the digital onboarding process with a layered approach that involves document authentication, document liveness, facial recognition, and ID R&D’s IDLive® Face passive facial liveness detection.

The document liveness check is performed in the background in milliseconds, with no incremental friction for the customer or warning for fraudsters. 

Is the uploaded ID document “live” or a screen capture of the document?
If live, is the document authentic?
Does the user’s selfie match the photo on the ID document?
Is the selfie of a real person or is it a screen capture?

Why IDLive Doc?

  • Analyze any kind of identity document to detect possible digital spoofs – works across geographies
  • Proactively identify screen replays in real time without manual review by humans
  • Catch fraud that may otherwise go unnoticed because the ID used for the screen replay attack is real or only slightly manipulated
  • Reduce costs by eliminating wasted effort – only live photos proceed to the next step in the identity proofing process
  • Improve accuracy over human review — especially when high resolution retina displays are used for the attack. These attacks are undetectable by the human eye.
  • Based on the same proven neural processing approach used by IDLive Face

IDLive Doc Document Liveness Specifications

  • Image orientation: Portrait or Landscape
  • Minimum image size:1080p or larger
  • Class of supported documents: Passports, ID Cards, Credit Cards, and other documents used for identification
  • Allowed compression: Up to JPEG 80 compression
  • Supported operating systems:  Linux and Windows machines
IDLive Doc is available today as a beta release. The SDK can be implemented on both server and mobile platforms and easily integrated with other components in your onboarding technology stack.
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