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Introduction to eKYC SDKs

eKYC SDKs (Software Development Kits) are pre-built tools that simplify the integration of eKYC (electronic Know Your Customer) services into your application. These SDKs provide a ready-to-use solution with pre-built UI components and backend services, allowing developers to quickly implement identity verification features without building them from scratch.

To enhance usability and efficiency, our eKYC SDKs come with embedded AI models that intelligently assist users during the verification process. These AI-powered models improve accuracy, reduce errors, and provide real-time feedback to users, ensuring a seamless identity verification experience.

Multi-Platform eKYC SDKs with Embedded AI Models​

Our eKYC solution is available across multiple platforms, each incorporating AI-driven enhancements for an intuitive and secure user experience:

1. Android SDK The eKYC Android SDK enables native integration with Android applications. It is compatible with Android API Level 21 (Lollipop) and above and follows best practices for security and data encryption.

2. iOS SDK The eKYC iOS SDK is designed for seamless integration with iOS applications. It supports iOS 12 and later, leveraging Swift and Objective-C for easy integration.

3. Web SDK The eKYC Web SDK allows identity verification directly from web browsers without requiring app installation. It is ideal for businesses that need frictionless identity verification on web-based platforms, ensuring secure and user-friendly experiences across desktop and mobile browsers.

Embedded AI Models for Enhanced User Experience​

Our eKYC SDKs leverage advanced AI models to support and guide users in real-time throughout the identity verification process:

1. AI-Based Document Capture Assistance

  • Detect correct document types in preview camera mode, ensuring users select the right document for verification.
  • Detects blurry, or poorly lit images and provides instant feedback.
  • Ensures proper document alignment and framing using AI-based boundary detection.

2. AI-Powered Data Capturing for Liveness Checking

  • Uses deep learning facial recognition to distinguish real users from spoofing attempts.
  • Ensures good image quality and proper lighting conditions for accurate facial recognition.
  • Supports gesture-based liveness checks (e.g. head movement) for higher security.