🎬 Translate YouTube video metadata into multiple languages with OpenAI

⚡ 167 views · 🎬 Content Creation & Video

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Description

Quick overview

This workflow fetches a YouTube video’s title and description, uses OpenAI to translate them into multiple target languages, and updates the video’s YouTube localizations via the YouTube Data API, returning a YouTube Studio link to review the translations.

How it works

  1. Runs manually when you execute the workflow.
  2. Reads the configured YouTube video ID, default language, target languages, and OpenAI model.
  3. Fetches the video’s current metadata (including existing localizations) from YouTube.
  4. Removes the default language from the target language list and prepares the language-code keys required for the translation output.
  5. Sends the title and description to OpenAI and parses the response as structured JSON with a translated title and description per language code.
  6. Updates the video on YouTube by writing the translated metadata into the video’s localizations via a single YouTube API request.
  7. Outputs a YouTube Studio translations URL so you can review the updated localizations.

Setup

  1. Add YouTube OAuth2 credentials with permission to edit videos on the target channel.
  2. Add an OpenAI API key credential and choose a model name in the configuration.
  3. Set the video_id, default_language, and target_languages (language name → language code) values in the Configuration step before running the workflow.
  4. Ensure you understand that updating localizations overwrites any existing translations for the same language codes on the video.

Additional info

Translate YouTube video titles and descriptions to multiple languages with OpenAI

📥 Open full documentation on Notion

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🔗 Nodes Used

HTTP Request, YouTube, AI Agent, OpenAI Chat Model, Structured Output Parser

📥 Import

Download workflow.json and import into n8n: Workflow menu → Import from File

📖 Importing guide · 🔑 Credential setup