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

Add the Microsoft Teams Node
Select the Microsoft Teams node from the app selection panel on the right.

Microsoft Teams
Configure the Microsoft Teams
Click on the Microsoft Teams node to configure it. You can modify the Microsoft Teams 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 Microsoft Teams 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.

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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 Microsoft Teams 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 Microsoft Teams 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.

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Trigger on Webhook
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Save and Activate the Scenario
After configuring Microsoft Teams, 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 Microsoft Teams and Google Cloud Speech-To-Text integration works as expected. Depending on your setup, data should flow between Microsoft Teams 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 Microsoft Teams and Google Cloud Speech-To-Text
Microsoft Teams + Google Cloud Speech-To-Text + OpenAI ChatGPT: When a new channel message is posted in Microsoft Teams, the audio is transcribed using Google Cloud Speech-To-Text. OpenAI ChatGPT then summarizes the transcript and generates action items, which are sent back to the Teams channel.
Microsoft Teams + Google Cloud Speech-To-Text + Jira: When a new chat message is received in Microsoft Teams, Google Cloud Speech-To-Text transcribes the audio, and a new Jira issue is created with the transcript attached, ensuring support requests from voice notes are properly tracked.
Microsoft Teams and Google Cloud Speech-To-Text integration alternatives
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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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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See how Latenode works
FAQ Microsoft Teams and Google Cloud Speech-To-Text
How can I connect my Microsoft Teams account to Google Cloud Speech-To-Text using Latenode?
To connect your Microsoft Teams account to Google Cloud Speech-To-Text on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Microsoft Teams and click on "Connect".
- Authenticate your Microsoft Teams and Google Cloud Speech-To-Text accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I transcribe Teams voicemails with Speech-To-Text?
Yes, Latenode enables automated voicemail transcription! Process Teams voicemails via Google Cloud Speech-To-Text, analyze the text using AI blocks, and route important items automatically.
What types of tasks can I perform by integrating Microsoft Teams with Google Cloud Speech-To-Text?
Integrating Microsoft Teams with Google Cloud Speech-To-Text allows you to perform various tasks, including:
- Transcribing meeting recordings directly into a searchable database.
- Analyzing customer support call transcripts for sentiment automatically.
- Creating summaries of long discussions within Teams channels.
- Extracting key action items from project team meetings.
- Generating automated reports based on voice data insights.
Can I use custom dictionaries for speech recognition in Latenode?
Yes, Latenode supports custom dictionaries. Enhance Google Cloud Speech-To-Text accuracy for industry-specific terms using custom vocabularies.
Are there any limitations to the Microsoft Teams and Google Cloud Speech-To-Text integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large audio files may require significant processing time.
- Transcription accuracy can be affected by poor audio quality.
- Real-time transcription is not directly supported in Latenode.