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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 Decibri?

Decibri is a Rust-based audio library designed for developers who are creating applications centered on real-time speech, voice agents, and audio processing. It provides essential features, including microphone input, speaker output, PCM streaming, and audio file management, complemented by a command-line interface compatible with Python, Node.js, Rust, and browser APIs. Among its extensive capabilities are voice activity detection, acoustic echo cancellation, and optional enhancements like denoising, filtering, automatic gain control, and limiting. Developers can seamlessly stream captured audio to both cloud and local speech-to-text services, while simultaneously utilizing its audio output systems to playback synthesized speech. This library caters to a wide range of applications, such as building voice assistants, transcription services, conversational agents, wake-word detection systems, interactive robotics, full-duplex speech systems, and audio processing pipelines, making it suitable for use in edge devices as well. It comes with prebuilt native packages that support Windows, macOS, and Linux, and the implementations for Python and Node.js are especially user-friendly as they require no additional build tools for installation. Furthermore, the browser-compatible version enhances accessibility by allowing audio capture, energy-based speech detection, and playback, thereby broadening its usability across a variety of platforms. With its robust feature set and adaptability, Decibri stands out as a significant asset for audio application development, empowering creators to innovate within this dynamic field.

Media

Media

No images available

Integrations Supported

Mistral AI

Integrations Supported

Amazon Transcribe
AssemblyAI
Azure AI Speech
Deepgram
Google Cloud Speech-to-Text
OpenAI Realtime API
Voxtral

API Availability

Has API

API Availability

Has API

Pricing Information

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

Pricing Information

$0
The core audio library is free under Apache-2.0. Fees for cloud speech-service providers are separate.
Free Version

Supported Platforms

SaaS
On-Prem

Supported Platforms

Windows
Mac
On-Prem
Linux

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

Decibri

Date Founded

2008

Company Location

Australia

Company Website

decibri.com

Categories and Features

AI Voice Models

Not specified

Speech to Text

Not specified

Categories and Features

AI Infrastructure

Not specified

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