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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 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

Mistral AI

Integrations Supported

Hugging Face Transformers
NVIDIA NIM
vLLM

API Availability

Has API

API Availability

Has API

Pricing Information

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

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
On-Prem

Supported Platforms

Windows
On-Prem
Linux

Customer Service / Support

Web-Based Support

Customer Service / Support

Not specified

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

NVIDIA

Date Founded

1993

Company Location

United States

Company Website

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

Categories and Features

AI Voice 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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