Transform YouTube Transcripts to Content Assets with AI, Youtube-transcript.io and Google Sheets
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 Need Help? LinkedIn:** Gerald Akhidenor Work with me:** dominixai.com My websites:** jobmonkey.dev and mediacraftai.com Email:** denorgerald@gmail.com. An n8n automation workflow template by Gerald Denor.
Gerald Denor
web
paid
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