CONTENT CREATION

On-demand single-locale dubbing clip via webhook

Accepts a webhook with an article URL and a target language, scrapes and translates the piece into a narration script, dubs it with ElevenLabs in that locale, renders a clip.

CategoryContent Creation
Enginesim
Difficultyadvanced
Triggerwebhook
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerWebhook with article URL and target localeHTTP webhook
  • ActionScrape article bodyFirecrawl
  • ActionTranslate and rewrite as locale narration scriptOpenAI
  • ActionDub script with ElevenLabsElevenLabsElevenLabs
  • ActionRender captioned clip and upload to R2CloudflareCloudflare R2
  • OutputReturn hosted video URL in responseHTTP webhook

What it does

Gives any internal tool or CMS button a one-call way to turn a single article into a narrated explainer clip in one chosen language and get the video URL back.

When to use it

Use it when editors want to dub a specific post into a specific language on demand, rather than processing every post automatically.

How it works

  1. 1A webhook arrives carrying the article URL and a target locale.
  2. 2Firecrawl scrapes the article body from the URL.
  3. 3The text is translated and rewritten into a narration script in the requested language.
  4. 4ElevenLabs dubs the script using a voice matched to that locale.
  5. 5Replicate renders the captioned explainer clip.
  6. 6The finished video is uploaded to R2 object storage for a stable public link.
  7. 7The hosted video URL is returned synchronously in the webhook response.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect HTTP webhookTrigger any URL on agent actions.
  2. 2
    Connect FirecrawlCrawl, scrape, structured extract.
  3. 3
    Connect OpenAIModels, embeddings, files.
  4. 4
    Connect ElevenLabsText-to-speech, voice cloning.
  5. 5
    Connect ReplicateImage, video, and model inference.
  6. 6
    Connect Cloudflare R2Object storage, S3-compatible.
  7. 7
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  8. 8
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  9. 9
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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