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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OpenAI Whisper
Whisper is a powerful speech-to-text model created by OpenAI to deliver accurate and reliable audio transcription. It is trained on a large dataset of 680,000 hours of multilingual audio, making it highly robust across different languages and environments. The model performs multiple tasks, including transcription, translation, and language detection within a single system. Whisper uses a Transformer-based encoder-decoder architecture to process audio converted into log-Mel spectrograms. It can generate phrase-level timestamps and handle noisy or complex audio inputs effectively. Unlike many specialized models, Whisper is designed for strong zero-shot performance across diverse datasets. It supports multilingual transcription and can translate speech from various languages into English. The model is open-sourced, allowing developers and researchers to build and customize applications بسهولة. Its flexibility makes it suitable for use cases like voice assistants, transcription services, and accessibility tools. Overall, Whisper provides a scalable and versatile foundation for speech processing applications.
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Handy
Handy is an open-source, free, cross-platform application for speech-to-text that operates entirely offline, allowing you to dictate directly into any text field. By pressing and holding a customizable keyboard shortcut, you can speak, and upon releasing it, Handy captures your voice, transcribes it on your device, and automatically inserts the text into the application you are currently using. The default setting utilizes a push-to-talk feature, but users also have the option to toggle between starting and stopping recording with different key presses. This software is compatible with macOS, Windows, and Linux, ensuring that all voice data remains stored locally instead of being sent to external cloud services. Users can select from various Whisper models or Parakeet V3, with Whisper offering extensive multilingual capabilities for over 99 languages, while Parakeet V3 is fine-tuned for efficient CPU usage and automatic language identification. Additionally, Handy incorporates voice activity detection to filter out silence, and it can utilize GPU acceleration for Whisper on supported devices, enhancing the overall performance of the application. The combination of these features makes Handy a versatile tool for anyone needing reliable speech-to-text functionality without compromising privacy.
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