Overview

Use the Video Agreement tool to collect verbal consent from your customers with a selfie video. When paired with Biometric Verification, you can also use the video to validate the individual's identity.

Availability

• Web SDK (Mobile)
• iOS SDK
• Android SDK

Features

Checks

• Text Matching

  You can choose the level of verbal accuracy from your customers; from accepting any audible verbalization (Fuzzy Match, 100) to accepting only the exact wording of your script (Strict Match, 0).

• Language

  Select the language your script is written in.

• ID Facematch

  We check whether the face in this video matches any of the other compatible sources, such as liveness, selfie, or ID document.

• Government Database Facematch

  We check whether the individual's selfie photo or video matches the government database specified as part of the Government Check block.

Key Metrics

• Make sure that the individual said what was expected in less than 1 minute

User Flow

https://www.loom.com/share/d750ee69e64c4aa281356a5308265b9e

Setup

There are 3 main steps to set up the Video Consent Check merit:

1. Setup your workflow on the dashboard
2. Integrate or use MetaMap's Direct Link
3. Process verification results

Step 1: Set Up a Workflow

The first step to setting up the Video Consent Check tool is to create a new workflow in the Dashboard. Once you've created a new workflow, add the Video Consent Check tool to the workflow.

• Add a script for your customers to read.
• Select the language that the individual must read.
• Select whether you want to add Facematch to verify the individual's identity
• Select your text matching level (0 being a strict match between the individual's speech and the script, 100 accepting anything the individual says)
  💡 The script must have a minimum of 30 and a maximum of 280 characters.

Step 2: Integrate

Integrate our MetaMap Button via SDK

Use our SDK integration if you want to use MetaMap's verification tools but design your own experience for your customers.

To implement this:

1. Setup the workflow for Video Consent Check in the dashboard
2. Install and implement an SDK framework
3. Process Verification Results

Dashboard Verification Results

In the dashboard, visit the Verifications tab, and click on Verification to review the results.