Automate Google Meet Summaries & Action Items with AI
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Streamline your post-meeting workflow by automatically generating concise summaries and actionable insights from your Google Meet recordings. This powerful automation leverages AI to extract key information, saving you valuable time.
About This Workflow
This n8n workflow automates the process of extracting and summarizing information from your Google Meet conference calls. It begins by fetching meeting records and transcripts from Google Meet, then utilizes Google Drive to access the transcript files. Once the transcript is downloaded and processed, an advanced OpenAI Chat Model analyzes the content to generate a structured summary, key highlights, and actionable next steps. The workflow can also be triggered manually or via an execution trigger, allowing for flexible integration into your existing processes. It's designed to transform raw meeting data into intelligent, digestible outputs, boosting team productivity and ensuring no crucial detail is missed.
Key Features
- Automated Transcript Retrieval: Seamlessly fetches meeting transcripts directly from Google Meet.
- AI-Powered Summarization: Leverages OpenAI to generate concise summaries and identify key discussion points.
- Action Item Extraction: Automatically identifies and lists actionable next steps from meeting discussions.
- Structured Output: Presents meeting insights in a clear, organized format for easy comprehension.
- Flexible Triggering: Can be initiated manually or integrated into broader automated workflows.
How To Use
- Set up Credentials: Ensure you have authenticated n8n with your Google Workspace (for Meet, Drive, and Calendar) and OpenAI accounts.
- Configure Google Meet Nodes: Set up the
Get Meeting ConferenceRecordsandGet Meeting Transcript Locationnodes to fetch data for specific meetings. You may need to dynamically pass meeting IDs. - Download Transcript: Configure the
Get Transcript Filenode to download the transcript from Google Drive, ensuring the file ID is correctly referenced. - Process Transcript: Use the
PDF Loader(or a similar text extraction node if transcripts aren't PDFs) to prepare the transcript text for analysis. - AI Analysis: Connect the
OpenAI Chat Model1to process the transcript text. Configure the prompt to instruct the AI on the desired output (summary, highlights, next steps). - Structure Output: Utilize the
Structured Output Parserto define a JSON schema that matches your desired output format for the AI's analysis. - Trigger and Response: Configure the
When clicking "Test workflow"orExecute Workflow Triggernode for manual or automated execution. TheResponsenode can be used to output the processed data.
Apps Used
Workflow JSON
{
"id": "78be7158-6e54-48bb-abac-b7724a7c61f3",
"name": "Automate Google Meet Summaries & Action Items with AI",
"nodes": 5,
"category": "Operations",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: 78be7158-6e54...
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