Mastering real-time transcription: speed, accuracy, and Gladia's AI advantage

Real-time transcription is crucial for applications that demand immediate output, such as voice agents, live captions, and live agent assist tools, where latency below 300 milliseconds is essential to maintain natural interactions. However, for most use cases like meeting notes and post-call analytics, asynchronous transcription offers higher accuracy and better speaker attribution by processing the entire recording. Gladia's Solaria-1 model provides a competitive advantage with its ability to handle over 100 languages, native code-switching, and a 270ms average latency, making it suitable for both real-time and async transcription needs. The model's design accommodates noisy environments and supports multilingual and code-switching contexts, ensuring reliable performance in diverse conditions. Additionally, Gladia's pricing structure avoids unexpected costs by bundling essential features, and its infrastructure is built to handle large volumes of data efficiently, exemplified by its integration with platforms processing millions of calls weekly.

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