Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Efficiently and precisely convert audio into text across over 85 languages and their variations. Enhance transcription accuracy by customizing models to better suit specific industry jargon. Unlock the full potential of spoken audio by allowing for search capabilities or analytics on the transcribed text, or enabling actions through your chosen programming language. Achieve high-quality audio-to-text transcriptions through advanced speech recognition technology. Expand your base vocabulary by incorporating particular terms or create your own bespoke speech-to-text models. Operate Speech to Text in various environments, whether in the cloud or locally through containers. Leverage the powerful technology that supports speech recognition in Microsoft products. Transform audio input from diverse sources, including microphones, audio files, and blob storage. Utilize speaker diarisation techniques to identify who spoke and when. Obtain well-structured transcripts complete with automatic punctuation and formatting. Customize your speech models for a better understanding of terminology specific to your organization or industry, ensuring a higher level of accuracy in your transcriptions. This versatility makes it easier to adapt the technology to your specific needs and applications.
Description
Whisper is a powerful speech-to-text model created by OpenAI to deliver accurate and reliable audio transcription. It is trained on a large dataset of 680,000 hours of multilingual audio, making it highly robust across different languages and environments. The model performs multiple tasks, including transcription, translation, and language detection within a single system. Whisper uses a Transformer-based encoder-decoder architecture to process audio converted into log-Mel spectrograms. It can generate phrase-level timestamps and handle noisy or complex audio inputs effectively. Unlike many specialized models, Whisper is designed for strong zero-shot performance across diverse datasets. It supports multilingual transcription and can translate speech from various languages into English. The model is open-sourced, allowing developers and researchers to build and customize applications بسهولة. Its flexibility makes it suitable for use cases like voice assistants, transcription services, and accessibility tools. Overall, Whisper provides a scalable and versatile foundation for speech processing applications.
API Access
Has API
No
API Access
Has API
Yes
Integrations
AI Sparks Studio
No
AnotherWrapper
No
Azure AI Speech
No
Blink
No
FluidVoice
No
GPT‑Realtime‑Whisper
No
Handy
No
Hyprnote
No
Krater.ai
No
Lont
Yes
Integrations
AI Sparks Studio
Yes
AnotherWrapper
Yes
Azure AI Speech
Yes
Blink
Yes
FluidVoice
Yes
GPT‑Realtime‑Whisper
Yes
Handy
Yes
Hyprnote
Yes
Krater.ai
Yes
Lont
No
Pricing Details
$1 per audio hour
Free Trial
Yes
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Microsoft
Founded
1975
Country
United States
Website
azure.microsoft.com/en-us/services/cognitive-services/speech-to-text/
Vendor Details
Company Name
OpenAI
Founded
2015
Country
United States
Website
openai.com/index/whisper/
Product Features
Transcription
AI / Machine Learning
No
Annotations
No
Audio/Video File Upload
No
Automatic Transcription
No
Collaboration Tools
No
File Sharing
No
For Manual Transcription
No
Full Text Search
No
Multi-Language Support
No
Natural Language Processing (NLP)
No
Playback Controls
No
Speech Recognition
No
Subtitles
No
Text Editor
No
Timecoding
No
Product Features
Speech Recognition
Audio Capture
No
Automatic Form Fill
No
Automatic Transcription
No
Call Analysis
No
Concatenated Speech
No
Continuous Speech
No
Customizable Macros
No
Multi-Languages
No
Specialty Vocabularies
No
Speech-to-Text Analysis
No
Variable Frequency
No
Voice Recognition
No
Transcription
AI / Machine Learning
No
Annotations
No
Audio/Video File Upload
No
Automatic Transcription
No
Collaboration Tools
No
File Sharing
No
For Manual Transcription
No
Full Text Search
No
Multi-Language Support
No
Natural Language Processing (NLP)
No
Playback Controls
No
Speech Recognition
No
Subtitles
No
Text Editor
No
Timecoding
No