How to connect Google Cloud Speech-To-Text and Microsoft Teams
Create a New Scenario to Connect Google Cloud Speech-To-Text and Microsoft Teams
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 Cloud Speech-To-Text, triggered by another scenario, or executed manually (for testing purposes). In most cases, Google Cloud Speech-To-Text or Microsoft Teams will be your first step. To do this, click "Choose an app," find Google Cloud Speech-To-Text or Microsoft Teams, and select the appropriate trigger to start the scenario.

Add the Google Cloud Speech-To-Text Node
Select the Google Cloud Speech-To-Text node from the app selection panel on the right.

Google Cloud Speech-To-Text
Configure the Google Cloud Speech-To-Text
Click on the Google Cloud Speech-To-Text node to configure it. You can modify the Google Cloud Speech-To-Text URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the Microsoft Teams Node
Next, click the plus (+) icon on the Google Cloud Speech-To-Text node, select Microsoft Teams from the list of available apps, and choose the action you need from the list of nodes within Microsoft Teams.

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Authenticate Microsoft Teams
Now, click the Microsoft Teams node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Microsoft Teams settings. Authentication allows you to use Microsoft Teams through Latenode.
Configure the Google Cloud Speech-To-Text and Microsoft Teams 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 Cloud Speech-To-Text and Microsoft Teams 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 Cloud Speech-To-Text, Microsoft Teams, 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 Cloud Speech-To-Text and Microsoft Teams integration works as expected. Depending on your setup, data should flow between Google Cloud Speech-To-Text and Microsoft Teams (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Google Cloud Speech-To-Text and Microsoft Teams
Google Cloud Speech-To-Text + Google Docs + Microsoft Teams: Transcribes audio files from storage, saves the transcribed text to a new Google Docs document, and sends a message to a Microsoft Teams channel with a link to the document.
Microsoft Teams + Google Cloud Speech-To-Text + Jira: When a new message is posted in a Microsoft Teams channel, the audio from that message (if any) is transcribed using Google Cloud Speech-To-Text. The transcribed text is then used to create a new issue in Jira.
Google Cloud Speech-To-Text and Microsoft Teams integration alternatives
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.
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About Microsoft Teams
Use Microsoft Teams in Latenode to automate notifications and approvals. Instead of manual updates, automatically post messages based on triggers from other apps (like CRM or databases). Streamline workflows and improve team communication by connecting Teams to your automated processes without complex coding.
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See how Latenode works
FAQ Google Cloud Speech-To-Text and Microsoft Teams
How can I connect my Google Cloud Speech-To-Text account to Microsoft Teams using Latenode?
To connect your Google Cloud Speech-To-Text account to Microsoft Teams on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Google Cloud Speech-To-Text and click on "Connect".
- Authenticate your Google Cloud Speech-To-Text and Microsoft Teams accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I transcribe voicemails to Teams?
Yes, you can! Latenode's visual editor makes it simple. Automatically transcribe Google Cloud Speech-To-Text voicemails and send the text directly to a Microsoft Teams channel for instant review and action.
What types of tasks can I perform by integrating Google Cloud Speech-To-Text with Microsoft Teams?
Integrating Google Cloud Speech-To-Text with Microsoft Teams allows you to perform various tasks, including:
- Transcribing meeting recordings and posting summaries to Teams.
- Converting customer support call audio to text and routing to relevant channels.
- Creating searchable archives of voice communications within Teams.
- Alerting Teams channels based on keywords found in transcribed audio.
- Automating voice-based data entry into Teams from external sources.
What Google Cloud Speech-To-Text configurations can I adjust in Latenode?
Latenode allows you to configure language, sample rate, and advanced features, optimizing transcription accuracy and cost while scaling.
Are there any limitations to the Google Cloud Speech-To-Text and Microsoft Teams integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large audio files might exceed processing limits without optimization.
- Microsoft Teams message formatting may require adjustment for optimal display.
- Real-time transcription speed is subject to Google Cloud Speech-To-Text's API.