Automated Social Media Content Creation from Video Transcripts

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This n8n workflow streamlines the process of generating, organizing, and storing social media content based on video transcripts. Triggered via a webhook—often from Airtable— it retrieves record data, creates a dedicated Google Drive folder for each video, and then leverages advanced AI models to analyze the transcript. The AI produces diverse social media assets, including YouTube titles and descriptions, thumbnails, Twitter threads, and posts for LinkedIn, Instagram, TikTok, and Shorts. These outputs are then saved as files in Google Drive, and all generated content is systematically updated back into Airtable for easy management. This workflow is ideal for content creators, marketers, or agencies seeking to automate content production, streamline organization, and maximize the efficiency of multi-platform social media marketing campaigns.

Node Count

11 – 20 Nodes

Nodes Used

@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatGoogleGemini, @n8n/n8n-nodes-langchain.outputParserStructured, airtable, googleDrive, manualTrigger, set, stickyNote, webhook

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