Speech-To-Text
A customer calls your contact center and reads out their credit card number to an agent. A prospect joins a sales call and shares their name, work email, and company. Both conversations are recorded and transcribed, and both now contain sensitive personal data sitting in plain text in your database.
Speech-To-Text
AssemblyAI has become one of the most recognized names in the speech-to-text and audio intelligence space. With over 5,000 customers and millions of API calls processed daily, it has established itself as a comprehensive solution for developers and enterprises looking to extract value from audio data. The platform combines accurate transcription with a suite of audio intelligence features, plus a unique framework for applying Large Language Models to speech.
Speech-To-Text
Choosing between Deepgram and Gladia for your speech-to-text and audio intelligence needs comes down to these five critical questions:
Large Language Models (LLMs) have enabled businesses to build advanced AI-driven features, but navigating the many available models and optimization techniques isn't always easy.
If you’re looking to combine speech recognition (STT) and LLMs for cutting-edge voice apps, look no further! Our ultimate guide is finally here, and it’s filled with valuable strategies and hands-on insights from our work with hundreds of audio-first companies and extensive interviews with experts in AI note-taking, sales enablement and customer support.
What you'll learn:
