The Chapterization model segments the audio into distinct chapters, each with a descriptive headline and summaries
This feature is in Alpha state.
Breaking changes may still be introduced to this API, but an advanced notice will be sent.We’re looking for feedback to improve this feature, share yours here.
The chapterization model segments the audio
into logical chapters based on the audio and content, and makes it easier to navigate long audios such as meeting recordings.Each chapter will contain its start and end time, as well as a summary, headline, bottom line “gist” and keywords.
The transcription result will contain a "chapterization" key with the output of the model:
result
Copy
Ask AI
{ "transcription":{...} "chapterization": { "success": true, "is_empty": false, "results": [ { "summary": "In a world where minimalism is valued, yet excess is desired, hope for the future remains. The past predicts the present, which is yet to be determined.", "headline": "Headline: \"Embracing Hope: The Interconnectedness of Past, Present, and Future\"", "gist": "Embracing Hope: Past, Present, Future Interconnected", "keywords": [ "Split infinity", "less is more", "too much", "hope", "present" ], "start": 0.0, "end": 19.83977, }], "exec_time": 5.078396797180176, "error": null }}