How to connect Google Meet and Google Cloud Speech-To-Text
Create a New Scenario to Connect Google Meet and Google Cloud Speech-To-Text
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 Cloud Speech-To-Text will be your first step. To do this, click "Choose an app," find Google Meet or Google Cloud Speech-To-Text, 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.

Google Meet
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.
Add the Google Cloud Speech-To-Text Node
Next, click the plus (+) icon on the Google Meet node, select Google Cloud Speech-To-Text from the list of available apps, and choose the action you need from the list of nodes within Google Cloud Speech-To-Text.

Google Meet
⚙
Google Cloud Speech-To-Text
Authenticate Google Cloud Speech-To-Text
Now, click the Google Cloud Speech-To-Text node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Google Cloud Speech-To-Text settings. Authentication allows you to use Google Cloud Speech-To-Text through Latenode.
Configure the Google Meet and Google Cloud Speech-To-Text Nodes
Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.
Set Up the Google Meet and Google Cloud Speech-To-Text 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.

JavaScript
⚙
AI Anthropic Claude 3
⚙
Google Cloud Speech-To-Text
Trigger on Webhook
⚙
Google Meet
⚙
⚙
Iterator
⚙
Webhook response
Save and Activate the Scenario
After configuring Google Meet, Google Cloud Speech-To-Text, 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 Cloud Speech-To-Text integration works as expected. Depending on your setup, data should flow between Google Meet and Google Cloud Speech-To-Text (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 Cloud Speech-To-Text
Google Meet + Google Cloud Speech-To-Text + Slack: Automatically transcribes audio from Google Meet recordings using Google Cloud Speech-To-Text and sends a summary to a designated Slack channel.
Google Meet + Google Cloud Speech-To-Text + Google Docs: Creates a new Google Doc from the transcript of a Google Meet recording, automatically generated using Google Cloud Speech-To-Text.
Google Meet and Google Cloud Speech-To-Text 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.
Similar apps
Related categories
About Google Cloud Speech-To-Text
Automate audio transcription using Google Cloud Speech-To-Text within Latenode. Convert audio files to text and use the results to populate databases, trigger alerts, or analyze customer feedback. Latenode provides visual tools to manage the flow, plus code options for custom parsing or filtering. Scale voice workflows without complex coding.
Similar apps
Related categories
See how Latenode works
FAQ Google Meet and Google Cloud Speech-To-Text
How can I connect my Google Meet account to Google Cloud Speech-To-Text using Latenode?
To connect your Google Meet account to Google Cloud Speech-To-Text 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 Cloud Speech-To-Text accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I transcribe recorded meetings automatically?
Yes, you can! Latenode allows automatic transcription of Google Meet recordings using Google Cloud Speech-To-Text, saving time and improving accessibility effortlessly.
What types of tasks can I perform by integrating Google Meet with Google Cloud Speech-To-Text?
Integrating Google Meet with Google Cloud Speech-To-Text allows you to perform various tasks, including:
- Automatically transcribe meeting audio into searchable text.
- Analyze meeting transcripts for key topics and sentiments.
- Create summaries of meetings using AI and transcript data.
- Trigger follow-up actions based on meeting content.
- Archive meeting transcripts for compliance and knowledge sharing.
How does Latenode handle large Google Meet files for transcription?
Latenode efficiently processes large Google Meet audio files, breaking them into manageable chunks for Google Cloud Speech-To-Text to ensure accurate transcriptions.
Are there any limitations to the Google Meet and Google Cloud Speech-To-Text integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Transcription accuracy depends on audio quality and speaker clarity.
- Large files may take time to process depending on the size and complexity.
- Google Cloud Speech-To-Text costs are based on usage and are separate from Latenode.