CONTENT CREATION

Batch-Dub Queued Lessons from an Airtable Localization Board

On a schedule, pulls Airtable rows marked Ready-to-Dub, generates ElevenLabs voice tracks for each lesson-language pair, uploads them to R2.

CategoryContent Creation
Enginesim
Difficultyintermediate
Triggerschedule
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerSchedule fires to drain the dub queue
  • ActionQuery Airtable for Ready-to-Dub rowsAirtableAirtable
  • LogicExit if queue is empty
  • ActionGenerate dubbed audio with ElevenLabsElevenLabsElevenLabs
  • ActionUpload track to R2CloudflareCloudflare R2
  • OutputWrite Done status and URL back to AirtableAirtableAirtable

What it does

This turns an Airtable localization board into a work queue. It picks up rows flagged Ready-to-Dub, generates the dubbed audio for that exact lesson and language, stores the result in R2, and updates the row to Done with the file link, so the board always reflects real production state.

When to use it

Use it when a content team manages localization in Airtable and wants the board to drive the actual dubbing work. Operators just flip a status; the pipeline does the rest and reports back inline.

How it works

  1. 1A schedule fires and queries Airtable for rows where status equals Ready-to-Dub.
  2. 2Branch: if the queue is empty, exit quietly.
  3. 3For each queued row, fetch the source transcript text and target language from the record.
  4. 4Generate the dubbed audio track with ElevenLabs using the language's assigned voice.
  5. 5Upload the audio to R2 under the lesson's language path and capture the object URL.
  6. 6Update the Airtable row to Done with the R2 URL and a timestamp.

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 Cloudflare R2Object storage, S3-compatible.
  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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