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Transform YouTube Transcripts to Content Assets with AI and Google Sheets

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Created by: Gerald Denor || dominixai

Gerald Denor

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Last update 21 days ago

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Transform YouTube Transcripts to Content Assets with AI, Youtube-transcript.io and Google Sheets

For content creators, marketers, and video strategists who want to transform YouTube competitors' video transcripts into production-ready content assets using AI-powered automation.

Overview

This template demonstrates two approaches to YouTube transcript extraction and AI content generation: automated Google Sheets monitoring for batch processing, and direct webhook API calls for on-demand extraction. The workflow includes intelligent parsing, metadata extraction, and AI-powered content transformation.

Key Features

Dual Workflow Architecture

  • Google Sheets integration for automated monitoring and batch processing
  • Webhook endpoint for real-time API access and instant responses
  • Both paths share core extraction logic while serving different use cases

Smart YouTube Parsing

  • Extracts video IDs from multiple URL formats (youtube.com, youtu.be, embed)
  • Regex-based parsing handles edge cases reliably
  • Graceful error handling for invalid URLs

Rich Metadata Extraction

  • Video title, channel name, and publish date
  • Duration and category information
  • Transcript text with full timestamp data
  • Fallback handling for videos without transcripts

AI Content Generation

  • Transforms raw transcripts into structured content assets
  • Generates Veo3-optimized scripts (8-second scene format)
  • Creates SEO-optimized titles, thumbnail concepts, tags, descriptions
  • Includes virality optimization suggestions (hooks, CTAs)
  • Uses OpenRouter for flexible LLM selection

Structured Output Parsing

  • Custom code nodes parse AI responses into consistent formats
  • Organized by content type (Script, Titles, Thumbnails, Tags, etc.)
  • Ready for direct insertion into Google Sheets or API responses

Technical Implementation

Nodes Used

  • Google Sheets (Trigger & Operations)
  • Webhook (Trigger & Response)
  • HTTP Request (YouTube Transcript API)
  • Code (JavaScript for parsing)
  • LangChain LLM Chain (Content generation)
  • OpenRouter Chat Model

External Dependencies

  • YouTube Transcript API (youtube-transcript.io or similar)
  • Google Sheets API credentials
  • OpenRouter API access

Use Cases

  • Content Repurposing: Transform successful videos into new content formats
  • Competitive Analysis: Batch analyze competitor video strategies
  • Research & Documentation: Build searchable transcript databases
  • Accessibility: Generate captions and text alternatives
  • SEO Analysis: Extract and analyze video content at scale
  • Content Strategy: Develop data-driven video concepts

Setup Requirements

  • YouTube Transcript API credentials
  • Google Sheets with specified column structure (for automated workflow)
  • OpenRouter API key for AI content generation
  • n8n instance (cloud or self-hosted)

Customization Options

The workflow is designed for easy extension:

  • Swap AI providers by changing the LangChain model node
  • Modify prompt engineering in the Chain LLM nodes
  • Add additional parsing logic in Code nodes
  • Connect to databases, CMS, or other storage solutions
  • Integrate text analysis, summarization, or translation steps
  • Add notification systems for workflow completion

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