CONTENT CREATION
YouTube chapter markers from a Drive episode upload
When a video episode lands in Google Drive, transcribes the audio, generates clean YouTube-formatted chapter timestamps and a description with OpenAI.
How it runs
The automated pipeline, trigger to output.
- TriggerNew video file in Google Drive folderGoogle Drive
- ActionTranscribe audio track with ElevenLabsElevenLabs
- ActionGenerate YouTube chapters and description with OpenAIOpenAI
- LogicValidate timestamps start at 00:00 and increase
- OutputSave chapters and description to Drive docGoogle Drive
What it does
Produces the YouTube chapter list and video description for an episode the moment the video file is uploaded to Drive. It outputs correctly formatted timestamps and a description in a doc the uploader can paste straight into YouTube.
When to use it
Use it for video podcasts published to YouTube where someone hand-types chapter markers from the timeline. It generates accurate, properly formatted chapters automatically so uploads go out faster.
How it works
- 1A new video file in the watched Google Drive folder triggers the run.
- 2ElevenLabs transcribes the audio track with timestamps.
- 3OpenAI groups the transcript into logical chapters and formats them as YouTube timestamps (00:00 Intro), and drafts a video description with keywords.
- 4A logic step validates that the first timestamp is 00:00 and timestamps are strictly increasing, retrying the format pass if not.
- 5The finished chapters and description are saved to a Google Drive doc named for the episode, ready to paste at upload time.
Set it up
What you configure once, before turning it on.
- 1Connect Google DriveDocs, sheets, slides, files.
- 2Connect ElevenLabsText-to-speech, voice cloning.
- 3Connect OpenAIModels, embeddings, files.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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