This workflow automates the process of managing YouTube videos by integrating Google Drive and YouTube API functionalities with AI-powered transcript analysis and SEO optimization. The process begins when a new video file is uploaded to a specific Google Drive folder, triggering the workflow. It downloads the video, extracts its transcript using an external service, and formats the transcript for clarity. The transcript is then analyzed with OpenAI’s GPT model to generate a detailed, engaging description and an SEO-optimized, concise YouTube title. Additionally, the workflow utilizes LangChain models to generate relevant tags based on the video’s transcript. Afterwards, the video is uploaded to YouTube with a placeholder title, followed by updating its metadata with the generated title, description, and tags. Optional cleanup involves deleting the processed video from Google Drive. This automation streamlines content creation, improves SEO, and ensures consistent video metadata management, making it ideal for content creators wanting to enhance their YouTube workflow efficiently.
Automated YouTube Video Processing and Metadata Optimization
Node Count | 11 – 20 Nodes |
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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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