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Description
EKHOS AI is an advanced offline transcription assistant designed specifically for Windows users who need a secure and private transcription tool. It supports a wide range of media formats including MP3, MP4, WAV, MKV, and more, and can transcribe both prerecorded files and real-time audio from microphones or speakers. The software offers support for 98 languages and features unlimited transcription capabilities with no restrictions on file size or quantity. A built-in media player and innovative tracks editor allow users to follow along with the audio or video playback, making proofreading simple and improving transcript accuracy to up to 99%. EKHOS AI processes data locally on the device, ensuring that sensitive information remains private and never leaves the computer. It also supports running AI transcription models using the computer’s CPU or compatible Nvidia GPUs for faster processing. The app is Microsoft Azure Trusted and digitally signed, further assuring users of its security and reliability. EKHOS AI offers a cost-effective monthly subscription and is favored by legal, medical, and other professionals who require secure transcription services.
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.
API Access
Has API
No
API Access
Has API
No
Screenshots View All
No images available
Integrations
.NET
No
C++
No
Java
No
Python
No
Pricing Details
$9/user/month - annual billing
9$/user/month for annual billing
12$/user/month for monthly billing
12$/user/month for monthly billing
Free Trial
Yes
Free Version
No
Pricing Details
€2500
Free Trial
Yes
Free Version
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
Yes
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
EKHOS AI
Founded
2024
Country
Australia
Website
ekhos.ai
Vendor Details
Company Name
Neurotechnology
Founded
1990
Country
Lithuania
Website
neurotechnology.com
Product Features
Transcription
AI / Machine Learning
Yes
Annotations
No
Audio/Video File Upload
Yes
Automatic Transcription
Yes
Collaboration Tools
Yes
File Sharing
No
For Manual Transcription
No
Full Text Search
Yes
Multi-Language Support
Yes
Natural Language Processing (NLP)
No
Playback Controls
Yes
Speech Recognition
No
Subtitles
Yes
Text Editor
Yes
Timecoding
Yes