Average Ratings 3 Ratings
Average Ratings 0 Ratings
Description
Transform your audio or video files into text documents with Cockatoo, the leading speech-to-text application known for its unparalleled speed and precision, achieving an impressive accuracy rate of up to 99% that outpaces human transcription capabilities, thanks to advanced machine learning technology. With Cockatoo, you can convert one hour of audio into a written transcript in just 2-3 minutes, making it 30 times faster than manual transcription and outperforming other similar services. Our platform accommodates transcription in a multitude of languages and dialects from across the globe, positioning Cockatoo as your comprehensive solution for file-to-text conversion. Simply upload your audio or video in any format, and you will receive a text transcript almost instantaneously. We offer flexible pricing plans designed to suit various budgets, ensuring that AI-driven transcription is available to everyone. Additionally, you can download your transcripts in multiple formats such as srt, docx, pdf, or txt, allowing for easy customization and sharing based on your preferences. There’s no need for you to extract audio from video files; we take care of that for you, streamlining the entire process. Just drag and drop your files, and experience the convenience and efficiency that Cockatoo provides. You’ll find that it's not only quick but also remarkably user-friendly.
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.
API Access
Has API
API Access
Has API
Integrations
No details available.
Integrations
No details available.
Pricing Details
$15 per month
Free Trial
Free Version
Pricing Details
$9/user/month - annual billing
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
Cockatoo
Website
www.cockatoo.com
Vendor Details
Company Name
EKHOS AI
Founded
2024
Country
Australia
Website
ekhos.ai
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
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