armour365 Voice Biometrics vs Lifegence Voiceprint API

armour365 Voice Biometrics verifies customers, employees, and other users by voice, without depending on a particular language or spoken text. It lists telephony, app, web, and social channels, with five seconds of audio for enrollment and three seconds for verification. The maker states that authentication responds in under two seconds. Active authentication can use dynamic pass phrases, and one registration is listed for both active and passive modes. The protection layer is intended to detect recorded and synthetic voices. The product comparison puts equal error rate, false acceptance rate, and false rejection rate below 2% each. Integrations cover more than 20 CRMs and apps, with REST and gRPC connections to existing systems. Cloud and on-premise deployments are available. The maker says voice data is stored and retrieved in an encrypted environment and that Gnani is ISO 27001 certified. Use cases include customer verification, claim management, employee authentication, and customer onboarding for contact centers, banking, and insurance. Developers have a free-for-life plan; paid access is listed from $149/mo.

Lifegence Voiceprint API is a free, open-source, self-hosted REST API for speaker verification and identification. Enrollment records a speaker’s voiceprint; verification compares audio with one enrolled speaker for 1:1 authentication, while identification searches enrolled speakers for a 1:N match. SpeechBrain ECAPA-TDNN produces 192-dimensional voice embeddings. The documented inputs are WAV, MP3, WebM, and OGG recordings lasting 3 to 30 seconds, with 5 to 10 seconds recommended. Docker Compose starts the API with PostgreSQL 16 and pgvector plus Redis 7. Requests use API keys in the X-API-Key header. Enrollment includes consent fields, and a delete endpoint removes associated voiceprint data. The security policy recommends TLS 1.3 in transit, encryption at rest, and treating embeddings as sensitive biometric information. Rate limits are 10 enrollment, 60 verification, and 30 identification requests per minute. The current version has no liveness or anti-spoofing controls and does not guarantee perfect recognition accuracy.