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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Gemini 2.5 Pro TTS
Gemini 2.5 Pro TTS represents Google's cutting-edge text-to-speech technology within the Gemini 2.5 series, designed to deliver high-quality and expressive speech synthesis tailored for structured audio generation needs. This model produces lifelike voice output that boasts improved expressiveness, tone modulation, pacing, and accurate pronunciation, allowing developers to specify style, accent, rhythm, and emotional subtleties through text prompts. Consequently, it is ideal for a variety of uses, including podcasts, audiobooks, customer support, educational tutorials, and multimedia storytelling that demand superior audio quality. Additionally, it accommodates both single and multiple speakers, facilitating varied voices and interactive dialogues within a single audio output, and supports speech synthesis in various languages while maintaining a consistent style. In contrast to faster alternatives like Flash TTS, the Pro TTS model focuses on delivering exceptional sound quality, rich expressiveness, and detailed control over voice characteristics. This emphasis on nuance and depth makes it a preferred choice for professionals seeking to enhance their audio content.
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Anam
Anam serves as a comprehensive platform for creating engaging AI avatars designed for dynamic video conversations in real-time. Each avatar is crafted from a combination of a facial appearance, vocal attributes, a language processing model, a guiding system prompt, accumulated knowledge, and various tools, enabling it to actively listen, engage, and execute tasks during live dialogues. Users have the flexibility to develop a new agent from the ground up or enhance an existing one by adding a unique face, catering to needs in customer support, sales interactions, lead qualification, language education, training sessions, onboarding processes, and front-desk medical assistance. The platform's Turnkey pipeline seamlessly manages aspects such as speech recognition, responses generated by large language models (LLMs), text-to-speech conversion, facial generation, and the delivery of content over WebRTC, while developers also have the option to integrate their own LLMs, speech recognition tools, or voice systems, or solely stream audio for facial rendering. Additionally, with Anam's CARA-4 model, every pixel is manipulated in real time, resulting in stunning photorealistic visuals, fluid head movements, subtle micro-expressions, and emotional responses that align with the conversation's tone. Moreover, the Director Notes feature empowers creators to fine-tune an avatar's performance through specific presets or detailed instructions, allowing for adjustments in expressiveness to optimize engagement. This innovative approach not only enhances user interaction but also opens new avenues for personalized communication in various fields.
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