youtube chapter generator

This workflow is ideal for content creators, video marketers, and educators who publish videos on YouTube and want to improve viewer engagement by adding structured chapters to their video descriptions. It is particularly useful for those who frequently upload long-form content and wish to enhance the discoverability of specific topics within their videos.

This workflow addresses the challenge of manually creating video chapters from captions, which can be time-consuming and tedious. By automating the extraction of captions and generating structured chapter entries, users can save significant time and ensure that their video descriptions are organized and easy to navigate for viewers.

1. Manual Trigger: The workflow begins when the user clicks ‘Test workflow’.
2. Set Video ID: The user specifies the YouTube video ID for which chapters will be generated.
3. Get Video Meta Data: The workflow retrieves metadata about the specified video, including title and description.
4. Get Caption ID: It fetches the caption ID associated with the video to access the captions.
5. Get Captions: The workflow retrieves the actual captions in SRT format using the caption ID.
6. Extract Captions: Captions are processed to extract the text content.
7. Tag Chapters in Description: The extracted captions are analyzed to classify them into chapters based on the transcript.
8. Structured Captions: The structured output, containing chapter details, is prepared for updating the video description.
9. Google Gemini Chat Model: Utilizes a language model to enhance the chapter tagging process, ensuring accuracy and relevance.
10. Update Chapters: Finally, the video description is updated with the newly generated chapters, improving the viewer experience and navigation.