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Average Ratings 0 Ratings
Description
We provide solutions to make audio content accessible to everyone. Our offerings enable you to generate text and subtitles from both audio and video files, with options for automatic transcription refined by your input or crafted by our skilled language professionals and experienced subtitlers. To get started, simply upload your media file. Once uploaded, our advanced speech recognition technology or dedicated transcribers will take care of your needs. Your audio will be seamlessly linked to text within our user-friendly online editing platform, allowing you to easily revise, highlight, and search your document. This service is perfect for transcribing research interviews and lectures, ensuring compliance with digital accessibility standards, and incorporating transcriptions and subtitles into the workflows of universities and institutions. Enhance your interviews by making your content editable, searchable, and more accessible. Additionally, you can record interviews or meetings directly using our app and quickly upload the audio to Amberscript for immediate transcription. With our services, transforming your audio into accessible text has never been simpler.
Description
We have developed and are releasing an open-source neural network named Whisper, which achieves levels of accuracy and resilience in English speech recognition that are comparable to human performance. This automatic speech recognition (ASR) system is trained on an extensive dataset comprising 680,000 hours of multilingual and multitask supervised information gathered from online sources. Our research demonstrates that leveraging such a comprehensive and varied dataset significantly enhances the system's capability to handle different accents, ambient noise, and specialized terminology. Additionally, Whisper facilitates transcription across various languages and provides translation into English from those languages. We are making available both the models and the inference code to support the development of practical applications and to encourage further exploration in the field of robust speech processing. The architecture of Whisper follows a straightforward end-to-end design, utilizing an encoder-decoder Transformer framework. The process begins with dividing the input audio into 30-second segments, which are then transformed into log-Mel spectrograms before being input into the encoder. By making this technology accessible, we aim to foster innovation in speech recognition technologies.
API Access
Has API
API Access
Has API
Integrations
Unremot
Kaltura
MacWhisper
Mediasite
Monster API
Nekton.ai
NoteVocal
ReByte
SheepScript.ai
Shownotes
Integrations
Unremot
Kaltura
MacWhisper
Mediasite
Monster API
Nekton.ai
NoteVocal
ReByte
SheepScript.ai
Shownotes
Pricing Details
$10 per hour of audio or video
Free Trial
Free Version
Pricing Details
No price information available.
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
Amberscript
Founded
2017
Country
Netherlands
Website
www.amberscript.com/en/
Vendor Details
Company Name
OpenAI
Country
United States
Website
openai.com/blog/whisper/
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
Speech Recognition
Audio Capture
Automatic Form Fill
Automatic Transcription
Call Analysis
Concatenated Speech
Continuous Speech
Customizable Macros
Multi-Languages
Specialty Vocabularies
Speech-to-Text Analysis
Variable Frequency
Voice Recognition
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