Google Meet and Google AI Integration

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Automatically summarize Google Meet calls with Google AI on Latenode. Get transcripts, sentiment analysis, and action items, all in one scalable, affordable automation. Customize the logic or bring your own AI keys.

Swap Apps

Google Meet

Google AI

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Google Meet and Google AI

Create a New Scenario to Connect Google Meet and Google AI

In the workspace, click the “Create New Scenario” button.

Add the First Step

Add the first node – a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a Google Meet, triggered by another scenario, or executed manually (for testing purposes). In most cases, Google Meet or Google AI will be your first step. To do this, click "Choose an app," find Google Meet or Google AI, and select the appropriate trigger to start the scenario.

Add the Google Meet Node

Select the Google Meet node from the app selection panel on the right.

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Configure the Google Meet

Click on the Google Meet node to configure it. You can modify the Google Meet URL and choose between DEV and PROD versions. You can also copy it for use in further automations.

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Run node once

Add the Google AI Node

Next, click the plus (+) icon on the Google Meet node, select Google AI from the list of available apps, and choose the action you need from the list of nodes within Google AI.

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Authenticate Google AI

Now, click the Google AI node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Google AI settings. Authentication allows you to use Google AI through Latenode.

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Sign In

Run node once

Configure the Google Meet and Google AI Nodes

Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.

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Run node once

Set Up the Google Meet and Google AI Integration

Use various Latenode nodes to transform data and enhance your integration:

  • Branching: Create multiple branches within the scenario to handle complex logic.
  • Merging: Combine different node branches into one, passing data through it.
  • Plug n Play Nodes: Use nodes that don’t require account credentials.
  • Ask AI: Use the GPT-powered option to add AI capabilities to any node.
  • Wait: Set waiting times, either for intervals or until specific dates.
  • Sub-scenarios (Nodules): Create sub-scenarios that are encapsulated in a single node.
  • Iteration: Process arrays of data when needed.
  • Code: Write custom code or ask our AI assistant to do it for you.
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Save and Activate the Scenario

After configuring Google Meet, Google AI, and any additional nodes, don’t forget to save the scenario and click "Deploy." Activating the scenario ensures it will run automatically whenever the trigger node receives input or a condition is met. By default, all newly created scenarios are deactivated.

Test the Scenario

Run the scenario by clicking “Run once” and triggering an event to check if the Google Meet and Google AI integration works as expected. Depending on your setup, data should flow between Google Meet and Google AI (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.

Most powerful ways to connect Google Meet and Google AI

Google Meet + Google AI + Google Calendar: When a Google Meet event ends, use Google AI to summarize the meeting and create a follow-up task in Google Calendar.

Google Meet + Google AI + Slack: Use Google AI to analyze sentiment from Google Meet transcripts (simulated by an event end trigger) and send alerts via Slack for negative feedback.

Google Meet and Google AI integration alternatives

About Google Meet

Automate Google Meet within Latenode workflows. Schedule meetings based on triggers, automatically generate invites after form submissions, or record & transcribe calls, saving time and ensuring consistent follow-up. Connect Meet to CRMs or project tools for streamlined task management. Simplify repetitive scheduling and meeting-related tasks.

About Google AI

Use Google AI in Latenode to add smarts to your workflows. Process text, translate languages, or analyze images automatically. Unlike direct API calls, Latenode lets you combine AI with other apps, add logic, and scale without code. Automate content moderation, sentiment analysis, and more.

See how Latenode works

FAQ Google Meet and Google AI

How can I connect my Google Meet account to Google AI using Latenode?

To connect your Google Meet account to Google AI on Latenode, follow these steps:

  • Sign in to your Latenode account.
  • Navigate to the integrations section.
  • Select Google Meet and click on "Connect".
  • Authenticate your Google Meet and Google AI accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I summarize Google Meet recordings using Google AI?

Yes, you can! Latenode allows you to automate summaries of Google Meet recordings using Google AI, saving you time and providing quick insights from your meetings.

What types of tasks can I perform by integrating Google Meet with Google AI?

Integrating Google Meet with Google AI allows you to perform various tasks, including:

  • Automatically generate meeting summaries after each call.
  • Analyze sentiment from meeting transcripts.
  • Create action items based on meeting discussions.
  • Translate meeting transcripts into multiple languages.
  • Identify key topics discussed during the meeting.

How can I automatically send meeting summaries to team members?

Latenode makes it simple. Use our pre-built blocks to send Google AI summaries directly to Slack or email after each Google Meet session.

Are there any limitations to the Google Meet and Google AI integration on Latenode?

While the integration is powerful, there are certain limitations to be aware of:

  • Google AI usage is subject to its own usage quotas and limitations.
  • Large meeting recordings may take longer to process.
  • Real-time transcript analysis is not currently supported.

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