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What is MAI-Transcribe-2?

MAI-Transcribe-2 stands as the apex of Microsoft AI's transcription technology, meticulously designed to deliver swift and accurate speech recognition in a variety of real-world audio settings. The model boasts functionalities such as speaker diarization, which allows it to distinguish among speakers and attribute dialogue accurately, along with providing word-level timestamps that enhance alignment, searching, navigation, and editing capabilities. It also incorporates keyword biasing to boost the recognition accuracy of specialized terminology, abbreviations, and names that might otherwise be difficult to discern in context. Developers can choose from various transcription styles, including a verbatim option that captures filler words and false starts for comprehensive analysis and compliance, or a clean option that omits these elements for clearer captions and more polished published transcripts. Moreover, the model is skilled at managing code-switching, effortlessly shifting between languages in conversations, and it can even handle mixed language combinations like Hinglish and Spanglish, all while automatically detecting the spoken language. This adaptability not only enhances usability but also positions MAI-Transcribe-2 as an indispensable asset in multilingual environments and diverse applications. Consequently, its innovative features cater to the evolving demands of transcription across industries.

What is Gemini 3.5 Transcribe?

Gemini 3.5 Transcribe embodies Google’s most sophisticated approach to speech-to-text technology, designed for complex voice interactions and real-time transcription. Instead of simply converting spoken words into written text, it transforms raw audio into refined, accurate, and well-organized text while adeptly handling background noise, complex jargon, diverse accents, dialects, and the nuances of natural speech patterns. Its advanced transcription features intelligently recognize self-corrections, remove filler words such as “ums” and “ahs,” and deliver the final output in a format that is easy to read. This model supports continuous bidirectional streaming with response times under a second, making it perfect for engaging voice applications, in addition to its capability to analyze pre-recorded audio from meetings, call logs, and other recordings while maintaining speaker identification and providing word-level timestamps. Moreover, its customizable vocabulary feature enhances its ability to recognize specific terms, unique spellings, postal codes, order IDs, and language that is particular to various industries, increasing its applicability across different scenarios. Consequently, Gemini 3.5 Transcribe emerges as an exceptional option for anyone in need of top-notch transcription services, empowering users with a tool that can adapt to diverse communication needs effectively.

Media

Media

Integrations Supported

Gboard
Gemini
Gemini Enterprise Agent Platform
Google AI Studio
Google Antigravity
Google Chrome
Microsoft Azure
Microsoft Foundry

Integrations Supported

Gboard
Gemini
Gemini Enterprise Agent Platform
Google AI Studio
Google Antigravity
Google Chrome
Microsoft Azure
Microsoft Foundry

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Microsoft AI

Date Founded

2024

Company Location

United States

Company Website

microsoft.ai/news/mai-transcribe-2-is-the-fastest-most-accurate-and-cheapest-speech-recognition-model-in-the-world/

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-3-5-transcribe/

Categories and 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

Categories and 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

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