CONTENT CREATION

Multi-language audio versions of new docs to Drive with Slack handoff

For each newly published article, translates it into your target languages, narrates each translation with a matching ElevenLabs voice, files the MP3s in Google Drive by language.

CategoryContent Creation
EngineSim + Paperclip
Difficultyadvanced
Triggerevent
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerReadMe article publishedReadMeReadMe
  • ActionFetch and clean article textReadMeReadMe
  • LogicFan out: translate and map voice per language
  • ActionRender per-language narration with ElevenLabsElevenLabsElevenLabs
  • ActionFile MP3s by locale in Google DriveGoogle DriveGoogle Drive
  • OutputNotify localization team in SlackSlack

What it does

Turns every newly published help-center article into accessible audio in multiple languages. It translates the article, narrates each translation with a language-appropriate ElevenLabs voice, organizes the files in Google Drive by locale, and pings the localization team so they can review.

When to use it

Use this when you serve a global audience and need spoken-word versions of your docs in more than one language without standing up a recording studio per market. Pairs accessibility with localization in a single automated pass.

How it works

  1. 1A ReadMe publish event triggers the flow.
  2. 2The article body is fetched and cleaned for speech.
  3. 3A logic step fans out across your configured target languages, translating the text and mapping each to a matching ElevenLabs voice.
  4. 4ElevenLabs renders one MP3 per language.
  5. 5Each file is saved to a per-language subfolder in Google Drive.
  6. 6A Slack message links the new audio set for the localization team to spot-check.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect ReadMeAPI docs, changelog, auth.
  2. 2
    Connect ElevenLabsText-to-speech, voice cloning.
  3. 3
    Connect Google DriveDocs, sheets, slides, files.
  4. 4
    Connect SlackChannels, DMs, threads, mentions.
  5. 5
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  6. 6
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  7. 7
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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