YouTube Automation: AI Writes EVERYTHING For Your Videos! (Seriously) 🤯 - part 2 скачать в хорошем качестве

YouTube Automation: AI Writes EVERYTHING For Your Videos! (Seriously) 🤯 - part 2

Automate your YouTube channel like a PRO! 🚀 In this video, we dive deep into how AI can revolutionize your video workflow. Learn to auto-generate descriptions, titles, tags, timelines, and even multi-language subtitles! 🤯 We'll explore powerful tools like n8n, Docker, Baserow, MinIO, and the No-Code Architects Toolkit. Stop wasting time on manual tasks and start scaling your content creation! ✨ Don't miss out on these game-changing AI strategies! #AIautomation #YouTubeTips Previous part -    • 🤯 YouTube Automation: AI Writes EVERYTHING...   Support: Link tree - https://linktr.ee/SharingWithPeople Buy me a coffee (If I helped you) - https://buymeacoffee.com/sharingwithp... Tags: #AIautomation #YouTubeAutomation #n8n #NoCode #AITools #ContentCreation #YouTubeTips Timeline 00:00:00 - Introduction to AI Automation for YouTube. 00:00:15 - Overview of the automation process and tools. 00:00:54 - Benefits of AI automation for creators. 00:01:20 - Reviewing YouTube Studio auto-generated data. 00:02:05 - Showing multi-language subtitles and translations. 00:03:15 - Deep dive into n8n workflow for video processing. 00:03:20 - Step 1a: Uploading and processing video via Google Files API. 00:03:50 - Step 1b: Uploading video into MinIO for further processing (audio only). 00:04:10 - Cost optimization with Gemini Flash vs. Pro models. 00:05:05 - Step 2: Generate SRT + translate them. 00:05:15 - Using Baserow database for data storage and workflow recovery. 00:05:50 - Conditional logic based on direct sound upload. 00:06:20 - Setting hyperparameters for Gemini models (temperature, thinking budget). 00:06:50 - Passing file data (URI or inline Base64). 00:07:30 - Extracting MP3 from Baserow and converting to Base64. 00:08:50 - Retrying failed transcriptions with adjusted hyperparameters. 00:10:00 - Modifying hyperparameters for improved success rate (e.g., increasing temperature). 00:11:00 - Logic for retrying Gemini API calls if initial attempt fails. 00:12:20 - Using Google AI Studio for prompt creation and testing. 00:14:00 - Passing response schema to Gemini for structured output. 00:15:20 - Checking for invalid SRT formats (missing timestamps, incorrect line endings). 00:16:50 - JavaScript code for fixing SRT formatting issues. 00:17:20 - Saving corrected SRT to Baserow. 00:19:20 - Next steps: Generate video metadata and upload to YouTube. 00:20:00 - Concluding remarks and farewell. Sources: Docker Desktop - https://www.docker.com/products/docke... n8n - https://n8n.io/ Baserow - https://baserow.io/ MinIO - https://min.io/ No Code Architects Toolkit Github - https://github.com/stephengospe/no-co... Google AI Studio - https://aistudio.google.com/ Google Gemini API - https://generativelanguage.googleapis... YouTube Studio - https://studio.youtube.com/