CONTENT CREATION

Localize and narrate a blog post into three languages

An agent translates and culturally localizes an approved English post into Spanish and German, narrates all three with ElevenLabs.

CategoryContent Creation
Enginepaperclip
Difficultyadvanced
Triggermanual
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerEditor submits approved English post
  • ActionAgent translates and localizes to ES and DE
  • LogicCheck localized scripts read cleanly
  • ActionNarrate all three with ElevenLabsElevenLabsElevenLabs
  • ActionBundle audio and transcripts in DropboxDropboxDropbox
  • OutputRoute to Slack for native-speaker listen-checkSlack

What it does

Takes one approved English blog post and produces a fully localized audio set. An agent translates the article into Spanish and German, adapting idioms and tone rather than translating word for word, then ElevenLabs narrates each version with a locale-appropriate voice. The three audio files plus the localized transcripts are bundled into Dropbox and sent to Slack for a native-speaker listen-check.

When to use it

Use it when straight machine translation is not good enough and you need localized scripts that sound natural before they are voiced. It is the right pick for marketing content where phrasing and cultural fit matter as much as accuracy.

How it works

  1. 1The run starts when an editor submits an approved English post.
  2. 2The agent translates and localizes the text into Spanish and German, preserving brand tone.
  3. 3A check confirms each localized script reads cleanly and within length limits.
  4. 4ElevenLabs narrates all three scripts with matched voices.
  5. 5Audio and transcripts are saved to a Dropbox package folder.
  6. 6A Slack message routes the package to native-speaker reviewers for the listen-check.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect ElevenLabsText-to-speech, voice cloning.
  2. 2
    Connect DropboxFiles and folders.
  3. 3
    Connect SlackChannels, DMs, threads, mentions.
  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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