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Automated video analysis: AI-powered insight generation from Google Drive

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Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

Automated Video Analysis: AI Powered Insight Generation from Google Drive Subtitle: From Google Drive Upload → Gemini AI → Video Insights Overview This workflow automates the analysis of videos ...

Best for

  • Document Extraction automation workflows
  • AI Summarization automation workflows
  • advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.googledrive, n8n-nodes-base.httprequest, n8n-nodes-base.set, n8n-nodes-base.scheduletrigger, @n8n/n8n-nodes-langchain.chainllm, @n8n/n8n-nodes-langchain.lmchatgooglegemini, n8n-nodes-base.stickynote

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Yaron Been.

Original n8n.io source

1.1 Workflow description

Title
Automated video analysis: AI-powered insight generation from Google Drive
Workflow name
Automated video analysis: AI-powered insight generation from Google Drive

Automated Video Analysis: AI-Powered Insight Generation from Google Drive

Subtitle: From Google Drive Upload → Gemini AI → Video Insights


🌍 Overview

This workflow automates the analysis of videos stored in Google Drive. It downloads a video, validates it, sends it to Google Gemini AI for analysis, and returns a structured summary of the content.

Think of it as your AI-powered video analyst that works on schedule.


🟢 Section 1: Trigger – Start the Workflow

🔗 Node: Schedule Trigger

  • Runs the workflow automatically at a defined interval (e.g., daily).
  • Eliminates the need to manually start each run.

💡 Why useful? Keeps analysis consistent without human intervention.


🟦 Section 2: Download Video

🔗 Node: Download Video from Drive

  • Connects to Google Drive.
  • Fetches the video file you want to analyze.

💡 Why useful? Pulls the raw video directly from storage → no manual download needed.


🟣 Section 3: Prepare for AI Analysis

🔗 Nodes:

  • Basic LLM Chain → Prepares a structured prompt for Gemini.
  • Google Gemini Chat Model → Defines Gemini as the AI engine for analysis.

💡 Why useful? Ensures that Gemini gets both the video file + clear instructions on what to analyze (e.g., "Please provide a summary").


🟡 Section 4: Validate File Status

🔗 Node: Check File Status

  • Confirms that the video file is uploaded and ready to be processed by Gemini’s API.

💡 Why useful? Prevents wasted runs by making sure the file exists and is accessible before analysis.


🔵 Section 5: AI Video Analysis

🔗 Node: Analyze Video

  • Sends the video file to Gemini (via API request).
  • Asks Gemini to analyze and summarize the video.

💡 Why useful? Extracts insights from video content automatically — no need to watch manually.

📩 Example Output:

> "The video shows a product demo highlighting three features: speed, security, and collaboration. The speaker explains how the software reduces manual tasks. Ending includes a call to action for early sign-up."


🟠 Section 6: Format Results

🔗 Node: Format Analysis Result

  • Structures the Gemini response into clean output.
  • Makes it easy to forward results into email, Slack, or reporting tools.

💡 Why useful? Instead of messy raw JSON, you get clear summaries ready to share.


📊 Workflow Summary

Section Node(s) Purpose Benefit
🟢 Trigger Schedule Trigger Run workflow on schedule Fully automated start
🟦 Download Video Google Drive Fetch video from Drive Removes manual steps
🟣 Prepare Prompt Basic LLM Chain, Gemini Chat Model Structure prompt for AI Accurate AI analysis
🟡 Validate File Check File Status Ensure file is accessible Avoids failed runs
🔵 AI Analysis Analyze Video Gemini analyzes + summarizes video Saves hours of manual review
🟠 Format Output Format Analysis Result Clean up AI output Ready-to-use summaries
🔴 Assistance Sticky Notes Training + support info Beginner-friendly handoff

🚀 Benefits

  • Hands-free analysis → Videos summarized automatically.
  • Saves time → No need to watch entire footage.
  • Reliable → Validates file before sending to AI.
  • Flexible → Schedule runs (daily, weekly, etc.).
  • Scalable → Works for 1 video or 1,000.
  • Beginner-friendly → Includes sticky notes and author support.

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - Download Video from Drive

Type / Role
n8n-nodes-base.googleDrive - googleDrive
Config choices
Version 1

Block 2 - Check File Status

Type / Role
n8n-nodes-base.httpRequest - httpRequest
Config choices
Version 1

Block 3 - Analyze Video

Type / Role
n8n-nodes-base.httpRequest - httpRequest
Config choices
Version 1

Block 4 - Format Analysis Result

Type / Role
n8n-nodes-base.set - set
Config choices
Version 1

Block 5 - Schedule Trigger

Type / Role
n8n-nodes-base.scheduleTrigger - scheduleTrigger
Config choices
Version 1.2

Block 6 - Basic LLM Chain

Type / Role
@n8n/n8n-nodes-langchain.chainLlm - chainLlm
Config choices
Version 1.5

Block 7 - Google Gemini Chat Model

Type / Role
@n8n/n8n-nodes-langchain.lmChatGoogleGemini - lmChatGoogleGemini
Config choices
Version 1

Block 8 - Sticky Note

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 9 - Sticky Note1

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 10 - Sticky Note2

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 11 - Sticky Note3

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 12 - Sticky Note4

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 13 - Sticky Note5

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 14 - Sticky Note9

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 15 - Sticky Note6

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

3. Summary Table

Workflow Automated video analysis: AI-powered insight generation from Google Drive
Complexity advanced
Nodes 15
Categories Document Extraction, AI Summarization
Author Yaron Been
Published 03 Jun 2025

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/4621/4621.json as the source template for this automation.

  2. 2. Import the template into n8n

    Open n8n, import the downloaded JSON, and review each node before activating the workflow.

  3. 3. Configure credentials and variables

    Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.

  4. 4. Test with sample data

    Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.

  5. 5. Activate and monitor

    Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Frequently asked questions

What does Automated video analysis: AI-powered insight generation from Google Drive do?

Automated Video Analysis: AI Powered Insight Generation from Google Drive Subtitle: From Google Drive Upload → Gemini AI → Video Insights Overview This workflow automates the analysis of videos ...

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Document Extraction, AI Summarization use case.