OnID Biometric Voice Recognition is a voice-based identity verification solution that uses unique vocal characteristics to authenticate individuals. The system captures a user's voice and converts it into a digital template called a "voiceprint," which encodes measurable features such as pitch, tone, cadence, and frequency. During authentication, a live voice sample is compared against the stored voiceprint to confirm identity. The solution supports two modes of operation: - Active verification: The user speaks a specific passphrase or phrase to trigger authentication. - Passive verification: The system continuously analyzes speech during natural conversation without requiring a specific prompt, suitable for call center and customer service environments. Key capabilities include liveness detection to distinguish real voices from recordings, language and accent independence, real-time processing, and cross-platform compatibility across telephony, mobile, and web platforms. The software can be deployed in the cloud or on-premises and provides APIs for integration into existing digital workflows. It includes configurable verification thresholds, user enrollment management, and performance analytics. Data security measures include encryption, anonymization, and secure template storage. The solution is designed to comply with GDPR and CCPA. Target industries include banking and finance, healthcare, government, telecommunications, and enterprise security. Use cases span account access, transaction authorization, fraud prevention, patient data protection, and employee login.