This n8n workflow is designed to facilitate comprehensive analysis of YouTube videos by automatically generating transcripts, summaries, scene descriptions, and social media clips. Triggered manually or via webhook, the process begins with setting initial variables such as the video URL, API key, and desired question type. The workflow intelligently switches between different prompt types—like transcripts, summaries, scene descriptions, or clips—based on user input, ensuring tailored analysis. It then constructs specific prompts for the Gemini API, which performs tasks such as transcribing speech, summarizing content with actionable insights, or extracting detailed scene descriptions. Results from the API are merged and optionally processed further if errors are detected. The final output includes well-structured data ready for use in content creation, social media clipping, or detailed reporting. This workflow is ideal for content creators, marketers, or researchers aiming for automated and insightful video content analysis, saving time while enhancing content quality.
Automated YouTube Video Summarization and Scene Analysis
Node Count | >20 Nodes |
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Nodes Used | code, httpRequest, if, manualTrigger, set, stickyNote, switch |
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