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Description

Rev.ai was created by top experts in speech recognition, leveraging millions of hours of precisely transcribed human content. Our journey began in 2011 with the inception of Rev.com, where we offered human transcription services. Now, we proudly stand as the largest transcription provider globally, employing over 35,000 contractors who collectively transcribe millions of audio minutes every month. In 2017, we expanded our offerings with the launch of Temi, an automated service for speech-to-text transcription and editing. Temi has successfully transcribed 20 million minutes of content and has been recognized as the best transcription service by Wirecutter. Today, our advanced speech engine, Rev.ai, is accessible to all, enabling businesses to maximize the usability of their audio and video content by enhancing searchability and accessibility. Through our innovative solutions, we continue to revolutionize how audio and video materials are managed and utilized.

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

Screenshots View All

Screenshots View All

Integrations

AnotherWrapper
Azure AI Speech
Baseten
Hyprnote
Krater.ai
LastMile AI
MacWhisper
Nekton.ai
NoteVocal
OpenAI
Pruna AI
Quickwork
ReByte
Shownotes
Spark NLP
Tila
TurboScribe
VESSL AI
Vocode
Whisper Notes

Integrations

AnotherWrapper
Azure AI Speech
Baseten
Hyprnote
Krater.ai
LastMile AI
MacWhisper
Nekton.ai
NoteVocal
OpenAI
Pruna AI
Quickwork
ReByte
Shownotes
Spark NLP
Tila
TurboScribe
VESSL AI
Vocode
Whisper Notes

Pricing Details

No price information available.
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

Rev.ai

Website

www.rev.ai/

Vendor Details

Company Name

OpenAI

Country

United States

Website

openai.com/blog/whisper/

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

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

Alternatives

Alternatives

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Transcribe

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