An API powered by Google's AI technology allows you to accurately convert speech into text. You can accurately caption your content, provide a better user experience with products using voice commands, and gain insight from customer interactions to improve your service. Google's deep learning neural network algorithms are the most advanced in automatic speech recognition (ASR). Speech-to-Text allows for experimentation, creation, management, and customization of custom resources. You can deploy speech recognition wherever you need it, whether it's in the cloud using the API or on-premises using Speech-to-Text O-Prem. You can customize speech recognition to translate domain-specific terms or rare words. Automated conversion of spoken numbers into addresses, years and currencies. Our user interface makes it easy to experiment with your speech audio.
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LM-Kit.NET is an enterprise-grade toolkit designed for seamlessly integrating generative AI into your .NET applications, fully supporting Windows, Linux, and macOS. Empower your C# and VB.NET projects with a flexible platform that simplifies the creation and orchestration of dynamic AI agents.
Leverage efficient Small Language Models for on‑device inference, reducing computational load, minimizing latency, and enhancing security by processing data locally. Experience the power of Retrieval‑Augmented Generation (RAG) to boost accuracy and relevance, while advanced AI agents simplify complex workflows and accelerate development.
Native SDKs ensure smooth integration and high performance across diverse platforms. With robust support for custom AI agent development and multi‑agent orchestration, LM‑Kit.NET streamlines prototyping, deployment, and scalability—enabling you to build smarter, faster, and more secure solutions trusted by professionals worldwide.
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Speechmatics
Best-in-Market Speech-to-Text & Voice AI for Enterprises.
Speechmatics delivers industry-leading Speech-to-Text and Voice AI for enterprises needing unrivaled accuracy, security, and flexibility. Our enterprise-grade APIs provide real-time and batch transcription with exceptional precision—across the widest range of languages, dialects, and accents.
Powered by Foundational Speech Technology, Speechmatics supports mission-critical voice applications in media, contact centers, finance, healthcare, and more. With on-prem, cloud, and hybrid deployment, businesses maintain full control over data security while unlocking voice insights.
Trusted by global leaders, Speechmatics is the top choice for best-in-class transcription and voice intelligence.
🔹 Unmatched Accuracy – Superior transcription across languages & accents
🔹 Flexible Deployment – Cloud, on-prem, and hybrid
🔹 Enterprise-Grade Security – Full data control
🔹 Real-Time & Batch Processing – Scalable transcription
🚀 Power your Speech-to-Text and Voice AI with Speechmatics today!
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Voxtral
Voxtral models represent cutting-edge open-source systems designed for speech understanding, available in two sizes: a larger 24 B variant aimed at production-scale use and a smaller 3 B variant suitable for local and edge applications, both of which are provided under the Apache 2.0 license. These models excel in delivering precise transcription while featuring inherent semantic comprehension, accommodating long-form contexts of up to 32 K tokens and incorporating built-in question-and-answer capabilities along with structured summarization. They automatically detect languages across a range of major tongues and enable direct function-calling to activate backend workflows through voice commands. Retaining the textual strengths of their Mistral Small 3.1 architecture, Voxtral can process audio inputs of up to 30 minutes for transcription tasks and up to 40 minutes for comprehension, consistently surpassing both open-source and proprietary competitors in benchmarks like LibriSpeech, Mozilla Common Voice, and FLEURS. Users can access Voxtral through downloads on Hugging Face, API endpoints, or by utilizing private on-premises deployments, and the model also provides options for domain-specific fine-tuning along with advanced features tailored for enterprise needs, thus enhancing its applicability across various sectors.
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