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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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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Riverside
Riverside is the leading AI-powered platform for creating studio-quality video and audio content—combining recording, live streaming, and editing into one seamless workflow. Its local recording engine ensures each participant’s feed is captured in 4K resolution and uncompressed WAV audio, guaranteeing professional quality regardless of internet stability. Creators can edit recordings like a document using text-based editing, instantly removing filler words or silences, while multi-track editing offers fine-grained control over layout and sound balance. Riverside’s suite of AI tools—including Magic Audio for automatic sound enhancement, AI Voice for natural text-to-speech, and Magic Clips for social media snippets—cuts post-production time dramatically. Users can also generate AI Show Notes with ready-to-publish titles, descriptions, and keywords for SEO optimization. The platform supports HD livestreaming and webinars, enabling creators to host, record, and repurpose events effortlessly. Collaboration tools and brand customization make Riverside a perfect choice for content teams, educators, and enterprise creators. By merging AI efficiency with creative control, Riverside empowers anyone to produce broadcast-level content from anywhere.
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Grok Speech to Text (STT)
Grok Speech to Text is an independent audio API created to assist developers in seamlessly incorporating quick and precise transcription capabilities into various applications. Utilizing the same technology framework that drives Grok Voice, Tesla vehicles, and Starlink's customer support services, this API caters to multiple applications such as voice assistants, real-time transcription solutions, accessibility enhancements, podcasts, meeting documentation, telephony, and engaging audio experiences. Grok STT is capable of producing transcripts from extensive audio files via a REST API or transcribing speech instantly using a low-latency WebSocket API. It features word-level timestamps, speaker differentiation, support for multiple audio channels, and advanced Inverse Text Normalization, which transforms spoken language into correctly formatted structured outputs for different data types, including numbers, dates, and currencies. Grok Speech to Text has been rigorously tested across various formats, including phone calls, meetings, videos, and podcasts, demonstrating exceptional accuracy in entity recognition and various business applications. This API provides a versatile solution for developers looking to enhance their application's audio capabilities with reliable transcription features.
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