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.

Hey everyone! 👋 I've been working on a FREE project that solves a common challenge many of us face with n8n: tracking long-running and asynchronous tasks. I'm excited to share the n8n Task Manager - a complete orchestration solution built entirely with n8n workflows! 🎯 What Problem Does It Solve? If you've ever needed to: - Track ML model training jobs that take hours - Monitor video rendering or time consuming processing tasks - Manage API calls to services that work asynchronously (Kling, ElevenLabs, etc.) - Keep tabs on data pipeline executions - Handle webhook callbacks from external services Then this Task Manager is for you! 📺 See It In Action: I've created a full tutorial video showing the system in action: https://www.youtube.com/watch?v=PckWZW2fhwQ 🚀 Key Features: - 100% n8n workflows - No external code needed - Automatic polling - Checks task status every 2 minutes - Real-time monitoring - React frontend with live updates - Database backed - Uses Supabase (free tier works!) - Slack alerts - Get notified when tasks fail - API endpoints - Create, update, and query tasks via webhooks - Batch processing - Handles multiple tasks efficiently 📦 What You Get: 1. 4 Core n8n Workflows: - Task Creation (POST webhook) - Task Monitor (Scheduled polling) - Status Query (GET endpoint) - Task Update (Callback handler) 2. React Monitoring Dashboard: - Real-time task status - Media preview (images, videos, audio) - Running time tracking 3. 5 Demo Workflows - Complete AI creative automation: - OpenAI image generation - Kling video animation - ElevenLabs text-to-speech - FAL Tavus lipsync - Full orchestration example 🛠️ How to Get Started: 1. Clone the repo: https://github.com/lvalics/Task_Manager_N8N 2. Set up Supabase (5 minutes, free account) 3. Import n8n workflows (drag & drop JSON files) 4. Configure credentials (Supabase connection) 5. Start tracking tasks!

Just released some nodes showing how to generate videos using Google's Veo 2.0 text-to-video model through n8n — without writing a single line of code. In this workflow, I demonstrate how to set up your Google Service Account credentials, configure the necessary projectId, region, and model version, and trigger Veo 2.0 using simple HTTP Request nodes inside n8n. To get this working, you’ll need a Google Cloud project with the Vertex AI API enabled, a service account with the correct permissions, and a running n8n instance — either self-hosted or on cloud. If you want to see it in action, the full video tutorial is on YouTube: (https://www.youtube.com/watch?v=F9EXahlwYkY) and cover how to handle the base64-encoded video output from Google's API and convert it into a playable .mp4 file that you can download directly from the n8n interface. Everything is done within the n8n environment, making it easy to integrate this into any automation or creative pipeline. You can also download the workflow and the generated video here: https://drive.google.com/file/d/1MsxSLo4Q1QRZN8dVbJD7eCIm4gtIzAdJ/view?usp=sharing Let me know what you think or if you have any questions about adapting this for your own use case, specially if you have VEO3 (I do not have access. Change in the URL what service to use, now default is VEO3.

I've always wondered why you couldn't import a curl command when you were setting up an HTTP request for an AI agent. Thank goodness we finally have it here. Curl commands are the best. Check it out

AI Automation Society is hiring a part-time Automation Support Specialist to help our members with n8n issues. You'll be troubleshooting, providing fixes, and ensuring member satisfaction. Starting at $30/hour with potential for growth into a $60,000 per year job! You can be located anywhere in the world. If you're passionate about automation and helping others, go here to read the job description. You’ll find the link to the application at the bottom. Cheers, Nate