CONTENT CREATION

Generate YouTube chapter timestamps from episode transcript

On a webhook from your publishing tool, ElevenLabs transcribes the episode and an agent produces a ready-to-paste YouTube description with clickable chapter timestamps.

CategoryContent Creation
EngineSim + Paperclip
Difficultyintermediate
Triggerwebhook
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerPublishing tool webhook with audio URLHTTP webhook
  • ActionTranscribe audio with timestamps via ElevenLabsElevenLabsElevenLabs
  • ActionAgent writes chapter labels per topic shift
  • LogicVerify timestamps start at 00:00 and ascend
  • OutputSave YouTube description file to DropboxDropboxDropbox

What it does

Produces a YouTube-ready description block with properly formatted, clickable chapter timestamps (00:00 Intro style) derived from the actual spoken content of the episode. The output is a plain text file your video editor pastes straight into the upload form.

When to use it

Use it when you cross-post your podcast to YouTube and need accurate chapter timestamps without scrubbing the timeline by hand. Ideal for teams where the audio is final but the video description is the last manual chore before publishing.

How it works

  1. 1Your publishing tool fires a webhook containing the episode audio URL and title.
  2. 2ElevenLabs transcribes the audio with word-level timestamps.
  3. 3An agent detects topic shifts and writes a concise chapter label for each, anchored to the correct second.
  4. 4A check ensures the first chapter starts at 00:00 and timestamps are strictly increasing.
  5. 5The formatted description, with a short summary and chapter list, is written to a Dropbox text file named after the episode.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect HTTP webhookTrigger any URL on agent actions.
  2. 2
    Connect ElevenLabsText-to-speech, voice cloning.
  3. 3
    Connect DropboxFiles and folders.
  4. 4
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  5. 5
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  6. 6
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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