Title: How I Built an n8n Workflow to Automate Faceless POV Video (Full Breakdown) Description: In this analysis, we dissect the process of building a complete automation pipeline for faceless POV video content using n8n. The objective is to move from raw assets (video clips, scripts, or audio) to a fully rendered video uploaded to platforms like TikTok or YouTube Shorts with zero manual intervention. We will examine the specific n8n nodes and logic required for this advanced system. This workflow leverages several key components: a trigger (such as a new entry in an Airtable base), nodes for fetching stock footage (via Pexels API), an AI node for generating narration (OpenAI), and a video/audio processing node (like FFmpeg or a cloud-based rendering service) to assemble the final POV clip. I will walk you through the logic of this Automate Faceless POV Video n8n system, demonstrating how each step connects and handles data. We will analyze the efficiency of this method versus manual production.