My main use case for AssemblyAI is meeting and interview transcriptions. We are a culture operating system, so we track organization culture. Our bot joins the meetings of employees, and we convert the calls, interviews, or meetings into text. AssemblyAI supports our async and real-time transcription, and when we have the text, we pass it through our internal LLM to create culture scores.
I use AssemblyAI only with audio files, not for real-time transcription. I mainly use only US English, and I have not tried other languages. I upload audio files through AssemblyAI API, and they provide the transcription script with speaker identification and the dialogues.
AssemblyAI offers advanced speech recognition technology tailored for developers. Its robust API facilitates easy integration into existing systems, making it a versatile option for many applications.AssemblyAI proficiency in speech-to-text conversion is highly regarded. By leveraging state-of-the-art machine learning models, it provides reliable transcription and voice processing capabilities. Its adaptable API design supports integration across desktop, mobile, and web platforms. This...
My main use case for AssemblyAI is meeting and interview transcriptions. We are a culture operating system, so we track organization culture. Our bot joins the meetings of employees, and we convert the calls, interviews, or meetings into text. AssemblyAI supports our async and real-time transcription, and when we have the text, we pass it through our internal LLM to create culture scores.
I use AssemblyAI only with audio files, not for real-time transcription. I mainly use only US English, and I have not tried other languages. I upload audio files through AssemblyAI API, and they provide the transcription script with speaker identification and the dialogues.