Creating summarized chapters from podcasts
In this guide, we'll take you through the process of summarizing audio and video files.
You can also learn the content on this page from Automatic Chapter Detection With AssemblyAI on AssemblyAI's YouTube channel.
Step-by-step instructions
- 1
Create a new file and import the necessary libraries for making an HTTP request.
- 2
Set up the API endpoint and headers. The headers should include your API token.
- 3
Upload your local file to the AssemblyAI API.
- 4
Use the
upload_url
returned by the AssemblyAI API to create a JSON payload containing theaudio_url
parameter. - 5
Make a
POST
request to the AssemblyAI API endpoint with the payload and headers. - 6
After making the request, you will receive an ID for the transcription. Use it to poll the API every few seconds to check the status of the transcript job. Once the status is
completed
, you can retrieve the transcript from the API response.
Understanding the response
Your automatic chapters will be located in the chapters
key of the API response. Each entry will contain a summary
of the chapter, a one-line gist
and a chapter headline
, and start
and end
timestamps.
Conclusion
Creating text summaries using our Auto Chapters functionality works on all kinds of different input sources, not just podcasts. For example, you can use it to summarize lecture videos or other long-form content.
If you need more fine-grained control than Auto Chapters offers, you can use AssemblyAI's Summarization model to customize the complexity of your summary.