Text‑Independent Voice Verification Engine
Digital Onboarding, Call Centers & App Authentication
Language‑Agnostic, Noise‑Robust, Continuous & Passive Liveness
Mobile, Web, IVR, SDK, REST API
iOS, Android, Linux, Windows, Docker & Embedded
Designed for high-security applications—from banking IVRs to app logins—Vault IDVoice leverages advanced deep learning and x-vector models to identify speakers reliably. Whether a user speaks freely or uses a passphrase, the system captures live voiceprints, resists spoofing with integrated liveness detection, and delivers sub-150 ms response times on mobile or cloud platforms.
Traditional voice verification often fails in real-world conditions—background noise, channel variability, and voice cloning threaten accuracy. Text-dependent systems require scripted phrases, while active liveness steps frustrate users and reduce adoption.
Vault IDVoice combines flexible voice verification modes with embedded passive liveness to silence fraud attempts—no playback or deepfake can slip through. It works continuously during natural conversation or authentication prompts, adapts to any language, and runs efficiently across platforms, safeguarding identity without interrupting user flow.