We are very excited to announce our latest Speech Understanding feature – Topic Detection (detect_topics=true). Deepgram’s Topic Detection API, in addition to our speech-to-text API, uses deep learning techniques to generate, identify and extract key topics from the audio data.

Topic Detection API endpoint can be called using (detect_topics=true) and will return topics block in the response body of the output. Each segment of the topics will have a section of the text, identified topics, confidence score, and word positions.

Examples of use cases for Topic Detection include:

  • Help the Quality Assurance team to analyze conversations based on discussed topics and identify trends and patterns.

  • Extract meaningful and actionable insights from conversations and audio data based on discussed topics.

  • Categorize and tag conversations based on identified topics to enhance search and recommendation capabilities.

The URL query might look like this to call the Topic Detection API. 

https://api.deepgram.com/v1/listen?detect_topics=true&punctuate=true&tier=enhanced.

Please see the features page in our documentation to learn more about Topic Detection.

We’d love to have your feedback; please share it with us at Product Feedback, or you can also get in touch with us through your dedicated support channel.

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