OTHER

Detect viewer language and pick the right voiceover variant

On a webhook from your help-center player, uses a Hugging Face language model to classify the requested locale, selects or generates the matching ElevenLabs voiceover.

CategoryOther
Enginesim
Difficultyadvanced
Triggerwebhook
Steps5
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerPlayer webhook with clip ID and locale hintHTTP webhook
  • ActionClassify language with Hugging Face modelHugging FaceHugging Face
  • LogicCheck if voiceover variant already exists
  • ActionGenerate missing voiceover with ElevenLabsElevenLabsElevenLabs
  • OutputReturn audio URL to the playerHTTP webhook

What it does

Receives a request from your help-center video player, classifies the viewer's intended language with a Hugging Face model, and returns the correct ElevenLabs voiceover track, generating it on demand if that language variant does not yet exist.

When to use it

Use this when your help center serves a global audience and you want viewers to hear narration in their own language automatically, without maintaining a hardcoded locale map or pre-rendering every language for every clip.

How it works

  1. 1The video player sends a webhook with the clip ID and the viewer's locale hint.
  2. 2A Hugging Face classifier normalizes the hint into a supported target language.
  3. 3A check looks up whether that clip already has a voiceover in the target language.
  4. 4If it exists, the cached audio is returned; if not, ElevenLabs generates the voiceover from the stored script.
  5. 5The audio URL is returned to the player as the webhook response so playback starts immediately.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect HTTP webhookTrigger any URL on agent actions.
  2. 2
    Connect Hugging FaceModels, datasets, spaces — the open-source hub.
  3. 3
    Connect ElevenLabsText-to-speech, voice cloning.
  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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