Integrate eKYC Flow to Your Project For Free
Upload an image to identify ages, emotions, and genders
Track your online presence with reverse face search
Swap faces in a video
Classify beauty in images using a YOLO model
3D Passive Face Liveness Detection (Face Anti-Spoofing)
Replace faces in videos
emotion recognition
Verify student ID by comparing face images
Facial_Emotion_Recogniser
Swap faces in videos
Classify facial attractiveness and explain predictions
This is a face swapper that swaps face within video.
IDKit - FaceOnLive Community Project is a free, open-source tool designed to help developers integrate eKYC (Electronic Know Your Customer) flows into their projects. It focuses on face recognition technology to verify ID documents and authenticate selfies, ensuring identity verification in a seamless and efficient manner.
• Document Verification: Validate the authenticity of government-issued ID documents (e.g., passports, driver's licenses, etc.).
• Selfie Authentication: Compare a user's selfie with their ID document photo for real-time verification.
• Liveness Detection: Ensure the selfie is taken in real-time, preventing the use of photos or spoofing attempts.
• Cross-Platform Compatibility: Integrate IDKit into web, iOS, and Android applications with ease.
• Free Integration: Access all features at no cost, making it an ideal solution for developers and small businesses.
What is eKYC, and why is it important?
eKYC (Electronic Know Your Customer) is a digital process to verify the identity of customers. It is essential for compliance, fraud prevention, and building trust in online transactions.
Is IDKit suitable for large-scale applications?
Yes, IDKit is designed to handle large-scale integrations and provides scalable solutions for businesses of all sizes.
What platforms does IDKit support?
IDKit supports web applications (HTML5), iOS (Swift), and Android (Kotlin/Java) platforms, making it versatile for diverse development needs.