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What is Neurotechnology AI SDK?

The Neurotechnology AI SDK is a comprehensive, multilingual toolkit designed specifically for the development of applications focused on speech-to-text and voice processing capabilities. It includes an advanced ASR engine that delivers accurate transcriptions, along with a Speaker Diarization engine that effectively separates and identifies different speakers within a given audio stream. Supporting languages such as English, Lithuanian, Latvian, and Estonian, this toolkit offers rapid performance on both CPU and GPU platforms, accommodating both real-time and batch processing requirements. Designed for on-premises deployment, it ensures that all audio data remains local, thus preserving user privacy and control over sensitive information. Its modular architecture empowers developers to either use individual components independently or to integrate them smoothly into stand-alone or client-server systems. Moreover, optional voice biometrics can be integrated for enhanced speaker recognition, augmenting identity verification measures significantly. The SDK is compatible with both Windows and Linux operating systems and provides native libraries for programming languages such as Python, C++, Java, and .NET, making it an essential resource for transcription processes, analytical applications, or voice-activated technologies across multiple industries. The adaptability of the SDK makes it suitable for a variety of scenarios, effectively addressing the dynamic requirements of sectors that depend on innovative voice and audio processing solutions. In addition, its ongoing updates promise to keep pace with technological advancements, ensuring that users always have access to the best tools available.

What is Gladia?

Gladia presents an advanced audio transcription and intelligence platform that features a unified API capable of handling both asynchronous transcription for pre-recorded audio and real-time streaming, empowering developers to convert spoken language into text in over 100 languages. The platform is equipped with a variety of functionalities, including precise word-level timestamps, automatic language detection, support for code-switching, speaker recognition, translation, summarization, a customizable lexicon, and the ability to extract relevant entities. With its impressive real-time processing engine, Gladia achieves latencies under 300 milliseconds while maintaining exceptional accuracy, and it provides "partials" or interim transcripts to facilitate quicker responses during live sessions. Gladia is not only a powerful solution for audio transcription but also an intelligent resource that can adapt to various user needs and environments. Overall, Gladia distinguishes itself as an essential asset for developers seeking to embed comprehensive audio transcription features seamlessly into their software applications.

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Integrations Supported

.NET
C++
Java
Python

Integrations Supported

Dograh
ElectroNeek
LiveKit
MachinesFluent
Recall.ai
Twilio
Vapi AI

API Availability

API Availability

Has API

Pricing Information

€2500
Free Trial Offered?

Pricing Information

10 hours free
Free Version
Free Trial Offered?

Supported Platforms

Windows
Linux

Supported Platforms

SaaS

Customer Service / Support

Not specified

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Webinars
Online Training

Company Facts

Organization Name

Neurotechnology

Date Founded

1990

Company Location

Lithuania

Company Website

neurotechnology.com

Company Facts

Organization Name

Gladia

Date Founded

2022

Company Location

United States

Company Website

www.gladia.io

Categories and Features

AI SDKs

Not specified

Speech to Text

Not specified

Categories and Features

Speech Recognition

Automatic Transcription
Multi-Languages
Specialty Vocabularies
Speech-to-Text Analysis
Voice Recognition

Speech to Text

Not specified

Transcription

AI / Machine Learning
Audio/Video File Upload
Automatic Transcription
Multi-Language Support
Speech Recognition

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