Automated YouTube Video Processing & Optimization Workflow

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This n8n workflow automates the entire process of managing YouTube video uploads, from detecting new videos in Google Drive to generating SEO-optimized titles, descriptions, and tags, and updating the video’s metadata on YouTube. It begins with a Google Drive trigger that monitors a specific folder for new video files. When a video is uploaded, the workflow downloads the video from Google Drive and uses OpenAI’s GPT models to create an SEO-friendly title, a detailed video description, and relevant YouTube tags based on the video transcript. Parallel processes include transcript scraping from YouTube, transcript formatting, and generating metadata such as title and tags. Once the metadata is ready, the workflow uploads the video to YouTube as a private video, then updates the video’s title, description, tags, and other metadata on YouTube automatically. An optional cleanup step deletes the video file from Google Drive after processing. This workflow is especially useful for content creators who want to automate the video publishing process, optimize their videos for SEO, and save time on manual uploads and metadata updates.

Node Count

11 – 20 Nodes

Nodes Used

@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatGoogleGemini, @n8n/n8n-nodes-langchain.openAi, code, googleDrive, googleDriveTrigger, httpRequest, set, stickyNote, youTube

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