MAI-Transcribe-2

MAI-Transcribe-2

Microsoft AI
Trance

Trance

Digital Nirvana
+
+

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About

MAI-Transcribe-2 is Microsoft AI’s most capable transcription model yet, designed to deliver fast, accurate speech recognition across a broad range of real-world audio. It supports speaker diarization to distinguish speakers and attribute words to the right person, along with word-level timestamps for precise alignment, search, navigation, and editing. Keyword biasing helps recognize domain-specific terminology, abbreviations, names, and other terms that can be difficult to distinguish from context alone. Developers can choose between configurable transcription styles: a verbatim setting that preserves filler words and false starts for compliance and analysis, or a clean setting that removes fillers for more readable captions, notes, and published transcripts. The model supports code-switching for conversations that naturally move between languages, including blended language pairs such as Hinglish and Spanglish, and can automatically identify the language being spoken.

About

Digital Nirvana’s pioneering and advanced speech-to-text engines enable content creators to generate highly accurate audio and video content transcripts. The powerful Trance UI allows users to easily navigate, edit and export caption files in all industry-recognized formats. Built-in AI along with custom preset capabilities ensure caption conformance with style guidelines from various delivery platforms.Trance is designed to use machine learning capabilities to enhance the process of generating transcripts, closed captions, and subtitling for media content. Further, Trance also boasts an industry-first tool, Natural Language Processing capabilities. Our NLP technology enables transcript splitting based on grammar rules and styles for individual streaming platforms. Auto-generate captions to conform with multiple style guidelines and file types - all in the shortest time frame possible.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Developers, enterprises, and product teams seeking to build fast, multilingual speech-to-text applications with speaker identification, precise timestamps, and robust transcription in real-world conditions

Audience

Businesses looking for an easy-to-use, web-based application for generating closed captions, transcripts, and subtitling for content localization

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Microsoft AI
Founded: 2024
United States
microsoft.ai/news/mai-transcribe-2-is-the-fastest-most-accurate-and-cheapest-speech-recognition-model-in-the-world/

Company Information

Digital Nirvana
Founded: 1996
United States
digital-nirvana.com/products/ai-based-closed-captioning-solutions-trance/

Alternatives

Alternatives

Verbit

Verbit

Verbit Software
CaptionHub

CaptionHub

Neon Creative Technology
MAI-Transcribe-1.5

MAI-Transcribe-1.5

Microsoft AI

Categories

Categories

Transcription Features

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

Integrations

Microsoft Azure
Microsoft Foundry

Integrations

Microsoft Azure
Microsoft Foundry
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