Question: I'm looking for a platform that can extract insights from conversational audio data using AI language models.

If you need a platform to get insights out of conversational audio data with AI language models, Deepgram is a good option. Its suite of APIs handles speech-to-text, text-to-speech and more-advanced audio intelligence tasks. With high accuracy and low latency, Deepgram works with many languages and supplies rich transcription data that's good for speech analytics and contact centers. The company offers a free API playground, detailed documentation, tutorials and community support for integration, and transparent and flexible pricing.

For more elaborate conversation analysis, Wordcab offers a range of AI tools to process and analyze vast amounts of unstructured communications. It can transcribe multilingual audio in 57 languages and offers downstream conversation intelligence for summarization, issue detection and keyword extraction. Wordcab has security certifications like SOC 2 Type 2 and GDPR compliance, so it's a good option for sensitive data like legal and medical uses.

Last, Spoke offers a pay-as-you-go API for meeting bots that gives you access to transcripts, video recordings and meeting metadata in a matter of minutes. It offers data extraction and summarization, AutoCRM sync and custom information extraction with AI templates. Spoke supports multiple languages and is designed to help you and your team perform better and get more out of meetings with an interface that's easy to use and secure data handling.