Hey Academy! If you want the templates, join the No-Code Architects! Stop wasting money on expensive video editing APIs. In this video, I'll show you how to build a free AI automation that turns any long-form video into hundreds of engaging shorts with custom captions—and auto-posts them for you. You'll learn to deploy the free NCA Toolkit on Google Cloud, set up automatic video clipping with AI-powered transcript analysis, implement face detection for perfect cropping, generate captions automatically, and schedule posts across multiple social platforms using Postiz. This can save you hundreds or thousands in monthly subscriptions while producing viral content on autopilot. I'll walk through every step including n8n workflows, Airtable database setup, and troubleshooting real coding issues. If you want the templates, join the No-Code Architects

Discover how to easily extend an AI-generated video from a single image using KAI.AI, VEO3, and automation tools like NCA Toolkit and FFmpeg. Learn how to automate video sequences, extract key frames, and create longer, more dynamic videos — perfect for creative projects or content creation!

If you want the system when it's done, or the planning doc join The No-Code Architects. In this video, I’m walking you through the strategy behind building a new faceless video automation. Here’s what most people get wrong with automations: They jump into building without a plan. That’s why most automations don't work well or don't live up to their promise. Here's what I cover in this video: ✅ A practical framework for planning before building ✅ The strategy behind faceless content automation ✅ Key features that make this system scalable ✅ How to approach automation like a product, not a hack If you’re tired of recycled templates that don’t teach you how to think — and want to build systems that actually work — this one’s worth your time.

Based on this article, here is my fast N8N workflow. https://george.mand.is/2025/06/openai-charges-by-the-minute-so-make-the-minutes-shorter/ Do not forget to change PiAPI node to your way to upload to your bucket, otherwise will not work. Require also FFMPEG NCA Toolkit or other FFMPEG online services to tranform the audio. MP4 for listening the fast audio: https://pub-7710cf36e9f24295acffe6938f40f147.r2.dev/2b0175fc-0091-432d-a15f-5631af844f20_output_0.mp4 Final text extracted: "It's not perfect yet. I'm still refining the Task Manager, but it already gives you a solid springboard to level up your automations. Thanks for watching. I hope this Task Manager setup helps you build more advanced, robust automations in N8n. Good luck, and happy automating." WORKFLOW: https://pub-7710cf36e9f24295acffe6938f40f147.r2.dev/NCA___Whisper.json

Learn how to make professional videos with **auto-generated subtitles** using only: • N8N for workflow automation • ElevenLabs for high-quality TTS and character timing • NCA Toolkit to assemble your final video VIDEO: https://youtu.be/U0imTTVsaMo In this guide, you’ll see how to: - Start with a single image—no video footage needed - Generate TTS audio and get word-by-word timings from ElevenLabs - Use N8N to automate the whole process and extract timing data - Build ASS subtitle files for full style control (better than SRT!) - Sync video duration to your audio with metadata - Combine everything using NCA Toolkit for perfect results 🛠️ Prerequisites - ElevenLabs account: Sign up and get API access for text-to-speech and timing. - NCA Toolkit: Install and run via Docker for easy video and subtitle processing. - N8N: Set up your own instance (cloud or self-hosted) for workflow automation. - Subtitle server URL: Make sure you have a place to host your generated ASS subtitle files. (NCA Toolkit requires subtitles to be accessible via a URL.) 🎯 This method works in any language, with precise subtitle timing and pro-quality results—no more auto-captioning mistakes! WORKFLOW: https://pub-7710cf36e9f24295acffe6938f40f147.r2.dev/ElevenLabs_to_NCA_Toolkit.json --- **How it works:** 1. Create a workflow in N8N 2. Generate audio with ElevenLabs, “include character timing” enabled 3. Parse timing data and build an ASS subtitle file 4. Read audio duration metadata 5. Render the video with NCA Toolkit—image, TTS, and captions all synced! If you found this helpful, **LIKE**, **COMMENT**, and **SHARE** this video! Subscribe for more tips on TTS, automation, and video production.