Automated Loom Video Download, Upload, and Summarization Workflow

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This n8n workflow streamlines the process of downloading a Loom video, uploading it to Google Gemini for AI processing, and sharing the results via Slack. Designed for content creators, marketers, or teams managing video assets, it automates video retrieval, ensures the video is processed and active on Gemini, then leverages AI to generate summaries or insights based on a user prompt.

The workflow begins with a form trigger where users submit a Loom URL and a question about the video. It extracts the video ID from the Loom URL, then makes an API request to Loom to obtain the transcoded video URL. The video content is downloaded, and its file size is calculated for upload preparation.

Next, it initiates a resumable upload session with Gemini and uploads the video binary data. The system then periodically checks the video status on Gemini until the video is marked as “ACTIVE”. Once active, it prompts Gemini’s AI model to analyze the video along with the user’s question, generating a summarized response.

Finally, the workflow sends the AI-generated output to a Slack channel, providing quick and automated insights about the video. Sticky notes visually guide users through setup, including API credentials and how to customize prompts, making this workflow ideal for automating video content analysis and reporting workflows.

Node Count

>20 Nodes

Nodes Used

code, formTrigger, httpRequest, if, merge, set, slack, splitInBatches, stickyNote, wait

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