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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OrcaRouter
OrcaRouter serves as a routing system for AI models that are compatible with OpenAI, efficiently directing prompts to the appropriate models from a wide array, including OpenAI, Anthropic, Gemini, DeepSeek, Qwen, Kimi, and over 200 other leading and open-source models. Its design aims to maintain the high quality of responses while minimizing costs associated with AI inference by evaluating each prompt and directing complex reasoning tasks to premium models while assigning simpler tasks to more economical open-source options. The routing process is meticulously quality-graded, avoiding arbitrary swaps for cheaper models, and every request clearly indicates the difficulty rating, chosen model, provider, and associated costs, ensuring that routes remain transparent, accountable, and reproducible. Developers can easily switch models by updating the API base URL, while previously established SDKs, model names, and streaming functionalities remain operational. Additionally, OrcaRouter features seamless automatic failover capabilities, allowing for traffic rerouting without interruption should a provider experience downtime, thus preventing disruptions for users. It also offers comprehensive API key management that incorporates spending limits, model allowlists, rate restrictions, and budget compliance, among other functionalities, ensuring robust control over resource usage. This combination of features makes OrcaRouter an indispensable tool for optimizing AI model utilization in various applications.
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Gemini 3.8 Flash TTS
Gemini 3.8 Flash TTS is a generative text-to-speech model from Google designed for expressive voice creation, character design, dialogue direction, and multilingual audio production. Instead of limiting users to fixed voice presets, the model can create entirely new vocal identities from natural-language descriptions. Developers and creators can specify attributes such as accent, role, timbre, speaking style, pacing, and other voice characteristics across more than 100 languages and dialects. The model also offers access to more than 2,000 production-ready voices and supports voice replication from a short authorized audio sample. Performance controls allow users to direct individual lines with stage directions, pacing instructions, dialect shifts, emotional cues, and conversational backchanneling. Gemini 3.8 Flash TTS supports long-form generation while maintaining voice consistency, making it suitable for podcasts, audiobooks, localization, and other extended audio projects. Native two-speaker scene support lets users create multi-turn conversations from a single script while preserving distinct voices and natural turn-taking. Google includes consent verification, SynthID watermarking, and C2PA credentials to provide greater transparency and safeguards around generated and replicated voices. Gemini 3.8 Flash TTS can be used through Google AI Studio and the Gemini API and is intended for developers, creators, enterprises, media companies, and teams building expressive speech experiences.
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