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What is VeriSpeak?

VeriSpeak has developed a voice identification system specifically designed for developers and integrators in the biometric sector. This sophisticated text-dependent speaker recognition algorithm significantly bolsters security by authenticating both the spoken voice and the specific phrase. Users can match voiceprint templates through two distinct modes: 1-to-1, which is meant for verification, and 1-to-many, which serves for identification purposes. As a software development kit (SDK), it streamlines the process of creating both standalone and network-based speaker recognition applications that are compatible with various platforms, including Microsoft Windows, Linux, macOS, iOS, and Android. This text-dependent technology is especially adept at thwarting unauthorized access attempts by leveraging a user's voice that could be surreptitiously captured. By incorporating two-factor authentication, it ensures the voice biometrics' legitimacy is verified alongside a passphrase. The system is designed for ease of use, as standard microphones and smartphones are sufficient for capturing user voices, enhancing its applicability across numerous scenarios. This versatile SDK accommodates a wide range of programming languages, making it ideal for diverse development needs. Moreover, the solutions are competitively priced and come with flexible licensing arrangements and complimentary customer support, rendering them an appealing option for developers aiming to integrate secure voice recognition capabilities into their applications. Additionally, the technology's user-friendly nature encourages widespread adoption across various industries.

What is VeriFinger SDK?

VeriFinger is an advanced fingerprint recognition technology designed specifically for developers and integrators within the biometric systems realm. It delivers outstanding efficiency with rapid and precise fingerprint matching in both 1-to-1 and 1-to-many scenarios. As a software development kit, it facilitates the development of both independent and networked applications that are compatible with a wide array of operating systems, including Microsoft Windows, Linux, macOS, iOS, and Android. Initially introduced by Neurotechnology in 1998, VeriFinger has seen extensive upgrades, leading to over ten major versions that embody the latest and most sophisticated fingerprint recognition algorithms. This technology has received numerous awards in various competitions and assessments, such as NIST MINEX, PFT III, and SlapSeg III, which highlight the excellence of Neurotechnology's algorithms. Furthermore, it boasts strong capabilities for matching both rolled and flat fingerprints, effectively handling translation, rotation, and deformation challenges, thereby making it a flexible option for a variety of security and identification applications. Such versatility ensures that VeriFinger remains a leading choice in the ever-evolving world of biometric technology solutions, consistently adapting to meet the demands of modern identification needs.

Media

Media

Integrations Supported

MySQL
Oracle Cloud Infrastructure
PostgreSQL
SQLite

Integrations Supported

API Availability

Has API

API Availability

Pricing Information

€339 one-time payment
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
Linux

Supported Platforms

Android
iPhone
iPad
Windows
Mac

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support

Training Options

Documentation Hub
Online Training
On-Site Training

Training Options

Documentation Hub
Online Training
On-Site Training

Company Facts

Organization Name

NEUROtechnology

Company Location

Lithuania

Company Website

www.neurotechnology.com/verispeak.html

Company Facts

Organization Name

Neurotechnology

Date Founded

1990

Company Location

Lithuania

Company Website

www.neurotechnology.com/verifinger.html

Categories and Features

Voice Biometrics

Not specified

Categories and Features

Identity Management

Password Management
Self-Service Access Request

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