🎬 Automated YouTube video to blog post conversion with Gemini AI transcription

⚡ 1,860 views · 🎬 Content Creation & Video

💡 Pro Tip — YouTube’s API quotas can be a bottleneck when you’re pulling data at scale. ScraperNode is a community node with dedicated scrapers for channels, videos, and comments — no quota limits, just structured data.

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Description

This workflow automatically turns any YouTube video into a structured blog post with Gemini AI. By sending a simple POST request with a YouTube URL to a webhook, it downloads the video’s audio, transcribes the content, and generates a blog-ready article with a title, description, tags, and category. The final result, along with the full transcript and original video URL, is delivered to your chosen webhook or CMS.

How it works:

The workflow handles the entire process of transforming YouTube videos into complete blog posts using Gemini AI transcription and structured text generation. Once triggered, it:

This makes it easy to repurpose video content into publish-ready articles in minutes.

This template is ideal for content creators, marketers, educators, and bloggers who want to quickly turn video content into written posts without manual transcription or editing.

Setup Instructions

  1. Install yt-dlp on your local machine or server where n8n runs. This is required to download YouTube audio.
  2. Get a Google Gemini API key and configure it in your AI nodes.
  3. Webhook Input Configuration:
    • Endpoint: The workflow starts with a Webhook Trigger.
    • Method: POST
    • Example Request Body:
{
	"videoUrl": "https://www.youtube.com/watch?v=lW5xEm7iSXk"
}
  1. Configure Output Webhook: Add your target endpoint in the last node where the blog post JSON is sent. This could be your CMS, a Notion database, or another integration.

Customization Guidance

🔗 Nodes Used

Webhook, AI Agent, Structured Output Parser, Read/Write Files from Disk, Google Gemini Chat Model, Google Gemini

📥 Import

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

📖 Importing guide · 🔑 Credential setup