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ease
features
design
support

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Description

The Neurotechnology AI SDK serves as a versatile, multilingual toolkit aimed at developing applications for speech-to-text and voice processing. It features a unique ASR engine for precise transcription paired with a Speaker Diarization engine that effectively distinguishes and identifies individual speakers within an audio stream. This toolkit supports languages including English, Lithuanian, Latvian, and Estonian, offering speedy performance on both CPUs and GPUs for real-time and batch processing needs. Engineered for on-premises deployment, it guarantees that all audio data is processed locally, thereby maintaining complete data privacy and control for users. Its modular design allows developers the flexibility to utilize each component separately or to seamlessly integrate them into either stand-alone or client-server architectures. Additionally, optional voice biometrics for speaker recognition can be implemented to enhance identity verification processes. The SDK is compatible with both Windows and Linux and includes native libraries for programming languages such as Python, C++, Java, and .NET, making it a valuable tool for transcription workflows, analytics platforms, or voice-driven applications across diverse sectors. The flexibility of the SDK ensures its applicability in various contexts, catering to the evolving needs of industries that rely heavily on voice and audio processing solutions.

Description

VideoToWords.ai is an advanced transcription solution that utilizes AI technology to transform audio and video files into text with an impressive accuracy rate of 99.9%, accommodating over 98 languages and capable of recognizing multiple speakers. Users have the convenience of uploading files as long as ten hours in various formats like MP3, WAV, MP4, AVI, MPEG, and M4A directly through their browser, with transcription starting automatically. The tool boasts rapid, GPU-accelerated processing, along with AI-generated summaries that provide quick insights, while also featuring a user-friendly online editor for refining and enhancing transcripts. Once the transcription is complete, users can export the text in formats such as TXT, DOCX, PDF, SRT, or VTT, making it simple to share, create subtitles, or conduct further edits. Powered by top-tier speech and video recognition technologies, VideoToWords.ai guarantees stringent data security and privacy, effectively managing various content types including meeting recordings, lectures, interviews, podcasts, and marketing materials. Additionally, the platform offers extensive file support, customizable export options, and comprehensive language capabilities, making it an indispensable tool for anyone needing precise transcription services.

API Access

Has API

API Access

Has API

Screenshots View All

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Integrations

.NET
C++
Google Docs
Java
Microsoft Word
Python
YouTube

Integrations

.NET
C++
Google Docs
Java
Microsoft Word
Python
YouTube

Pricing Details

€2500
Free Trial
Free Version

Pricing Details

Free
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Neurotechnology

Founded

1990

Country

Lithuania

Website

neurotechnology.com

Vendor Details

Company Name

VideoToWords.ai

Country

United States

Website

www.videotowords.ai/

Product Features

Product Features

Transcription

AI / Machine Learning
Annotations
Audio/Video File Upload
Automatic Transcription
Collaboration Tools
File Sharing
For Manual Transcription
Full Text Search
Multi-Language Support
Natural Language Processing (NLP)
Playback Controls
Speech Recognition
Subtitles
Text Editor
Timecoding

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