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What is Voxtral Small Transcribe 3?

Voxtral Small Transcribe 3 is a flexible multilingual speech-to-text model designed for transforming recorded audio into written text. Provided through an audio transcription API by Mistral, it features capabilities such as timestamp logging, speaker identification, and context biasing, allowing developers to input essential phrases that improve the accuracy of recognizing specific terms and names tied to various fields. The model can automatically detect supported languages or operate using a designated language code, covering a total of over 50 languages. This makes it ideal for application developers aiming to create efficient workflows for transcribing audio from meetings, interviews, customer service calls, and voice-agent interactions. In addition, Mistral offers options for self-hosting the Voxtral 3 series, enabling deployment on private clouds or on-premises setups, thereby catering to diverse organizational requirements. Moreover, the adaptability of this model highlights its role in enhancing communication effectiveness across multiple industries. Its comprehensive features ensure that users can tailor the transcription experience to meet specific needs, ultimately fostering better understanding and collaboration.

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.

Media

Media

Integrations Supported

Mistral AI

Integrations Supported

Microsoft Azure
Microsoft Foundry

API Availability

Has API

API Availability

Pricing Information

$0.004/min
API usage is $0.004 per minute of audio.

Pricing Information

Pricing not provided

Supported Platforms

SaaS
On-Prem

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Mistral AI

Date Founded

2023

Company Location

France

Company Website

docs.mistral.ai/models/voxtral-small-transcribe-3-0

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/

Categories and Features

AI Voice Models

Not specified

Speech to Text

Not specified

Categories and Features

AI Models

Not specified

Transcription

Not specified

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