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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
MAI-Transcribe-2 represents the pinnacle of Microsoft AI's transcription capabilities, engineered to provide rapid and precise speech recognition across various real-world audio scenarios. This model includes features like speaker diarization, enabling it to differentiate between speakers and correctly attribute dialogue, as well as offering word-level timestamps for enhanced alignment, searching, navigation, and editing purposes. Additionally, it utilizes keyword biasing to improve the recognition of specialized terms, abbreviations, and names that may otherwise be challenging to identify from their contextual usage. Developers are afforded the flexibility to select from different transcription styles: a verbatim option that retains filler words and false starts for thorough analysis and compliance, or a clean option that eliminates such elements for clearer captions and more polished published transcripts. Furthermore, the model is adept at handling code-switching, seamlessly transitioning between languages during conversations, even accommodating mixed language combinations like Hinglish and Spanglish, while automatically identifying the language being spoken. This makes MAI-Transcribe-2 an invaluable tool for diverse linguistic environments and applications.
API Access
Has API
API Access
Has API
Integrations
Microsoft Azure
Azure Marketplace
Lont
Microsoft 365
Microsoft Foundry
Integrations
Microsoft Azure
Azure Marketplace
Lont
Microsoft 365
Microsoft Foundry
Pricing Details
$1 per audio hour
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
Microsoft
Founded
1975
Country
United States
Website
azure.microsoft.com/en-us/services/cognitive-services/speech-to-text/
Vendor Details
Company Name
Microsoft AI
Founded
2024
Country
United States
Website
microsoft.ai/news/mai-transcribe-2-is-the-fastest-most-accurate-and-cheapest-speech-recognition-model-in-the-world/
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