End-to-end AI automation pipeline built on n8n with ~75 nodes that ingests raw podcast MP4 files, performs AI transcription (speech-to-text), detects viral moments, extracts speaker-focused clips, enhances videos with subtitle generation (SRT), logo overlay insertion, background music addition, and vertical short formatting (9:16). Generates SEO content assets including friendly H1 title, 200 to 300 word summary, full description, key takeaways, and metadata tags per clip. Routes clips through human-in-the-loop email approval and Google Sheets gate, supports batch processing, and automatically publishes approved clips to YouTube Shorts. Organized into six core modules: Ingestion Layer (Drive triggers, scheduled ingestion), AI Processing Layer (transcription, topic segmentation, viral identification), Video Production Layer (speaker focus, subtitles, branding), Content Intelligence Layer (SEO titles, summaries, takeaways), Approval Layer (email + Sheets), and Publishing Layer (YouTube upload). Delivers 20 to 30 hours saved per episode, 5 to 10 Shorts per episode, replaces $2,400 monthly editor costs, with 8-month payback on a $20k system. Integrates Google Sheets, Google Drive, Gmail, YouTube API, and HTTP APIs; triggered by Schedule and Google Drive events. Built at a cost of thousands of dollars, and nearly five months of development, this sophisticated media pipeline enables scaling from solo creators to agencies generating $500k to $1M+ annual revenue through retainers.
You'll bring your own API credentials (so the workflow runs under your accounts) — I'll walk you through wiring them up on our setup call, which is included with your purchase.
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