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What is Voxtral Transcribe 2?

Mistral AI has unveiled Voxtral Transcribe 2, a cutting-edge collection of speech-to-text models that delivers exceptionally rapid and high-quality audio transcription along with speaker identification capabilities, accommodating a wide array of languages. Within this suite, Voxtral Mini Transcribe V2 is specifically engineered for batch transcription, offering features such as word-level timestamps, context biasing, and support for 13 languages, whereas Voxtral Realtime is designed for live speech recognition, boasting adjustable latency that can fall below 200 ms for prompt applications. Both models demonstrate remarkable accuracy in transcription while ensuring efficiency and affordability; Mini Transcribe V2 is recognized for its outstanding performance and low error rates, while Realtime is provided as open-source under the Apache 2.0 license, allowing developers to utilize it on edge devices or in secure settings. Additionally, the groundbreaking technology incorporated in these models marks a significant advancement in the field of transcription solutions, addressing a wide spectrum of needs across various industries. This advancement signifies a shift toward more flexible and accessible transcription tools for professionals and organizations alike.

What is Nemotron 3.5 Transcribe?

NVIDIA Nemotron 3.5 Transcribe is an open-weight model designed specifically for developers interested in building systems for transcription and audio processing. This innovative model converts audio files into text, providing options for both precise verbatim transcripts and modified versions, and includes advanced features such as contextual vocabulary, speaker identification, word-level timestamps, speech translation, language detection, and audio-based question answering. It supports a comprehensive language matrix featuring 40 languages, although the level of task performance can differ across languages. With the ability to handle recordings lasting up to one hour, this model is optimized for offline use on compatible NVIDIA GPU hardware and supported runtimes, making it versatile for various applications. Developers can easily integrate it into multiple settings, including speech interfaces, media processing, meeting analysis, customer service insights, translation applications, and other tools focused on audio comprehension. Additionally, the model's weights and a fine-tuning toolkit are provided under the OpenMDW-1.1 license, with specific deployment hardware and service requirements based on the application type. This adaptability empowers teams to customize the model for an array of audio processing and transcription needs, enhancing efficiency and user experience. Ultimately, the widespread capabilities of Nemotron 3.5 make it a valuable asset for enhancing communication and accessibility in diverse environments.

Media

Media

Integrations Supported

Integrations Supported

Hugging Face Transformers
NVIDIA NIM
vLLM

API Availability

Has API

API Availability

Has API

Pricing Information

$14.99 per month
Free Version
Free Trial Offered?

Pricing Information

The model weights and fine-tuning toolkit are available under the OpenMDW-1.1 license. Hardware and inference-serving costs depend on the selected deployment.
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad

Supported Platforms

Windows
On-Prem
Linux

Customer Service / Support

Web-Based Support

Customer Service / Support

Not specified

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub

Company Facts

Organization Name

Mistral AI

Date Founded

2023

Company Location

France

Company Website

mistral.ai/news/voxtral-transcribe-2

Company Facts

Organization Name

NVIDIA

Date Founded

1993

Company Location

United States

Company Website

research.nvidia.com/labs/nemotron/NVIDIA-Nemotron-3.5-Transcribe/

Categories and Features

AI Models

Not specified

Speech to Text

Not specified

Categories and Features

AI Models

Not specified

Open-Weight AI Models

Not specified

Speech Recognition

Not specified

Speech to Text

Not specified

Transcription

Not specified

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