SOCIAL MEDIA

Nightly Batch-Render Voiceovers for Tomorrow's Airtable Queue

Runs each night to find every reel scheduled for the next day in Airtable, generates ElevenLabs narration for any that lack audio.

CategorySocial Media
Enginesim
Difficultyintermediate
Triggerschedule
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNightly schedule fires
  • ActionQuery Airtable for tomorrow's queueAirtableAirtable
  • LogicLoop rows missing audio
  • ActionRender narration with ElevenLabsElevenLabsElevenLabs
  • ActionUpload MP3 to dated Dropbox folderDropboxDropbox
  • OutputMark Airtable row Ready with audio linkAirtableAirtable

What it does

This workflow batch-produces voiceovers ahead of time. Every night it scans your Airtable publishing queue for posts going out the next day, narrates any that are missing audio, and parks the files in Dropbox so morning publishing is fully prepped.

When to use it

Use it when you schedule reels a day in advance in Airtable and want narration ready before the team logs on, rather than rendering one clip at a time on demand. It smooths out API spikes by doing the work overnight in one pass.

How it works

  1. 1A nightly schedule triggers the workflow.
  2. 2Airtable is queried for rows where Publish-date is tomorrow and Audio-status is empty.
  3. 3For each matching row, ElevenLabs renders the Script field to an MP3 with the row's chosen voice.
  4. 4Each MP3 is uploaded to a dated Dropbox staging folder.
  5. 5The Airtable row is updated with the audio link and Audio-status set to Ready.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect AirtableBases, tables, views, automations.
  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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