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

Add the Google Chat Node
Select the Google Chat node from the app selection panel on the right.

Google Chat
Configure the Google Chat
Click on the Google Chat node to configure it. You can modify the Google Chat 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 Chat 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 Google Chat 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 Chat 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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AI Anthropic Claude 3
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Google Cloud Speech-To-Text
Trigger on Webhook
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Webhook response
Save and Activate the Scenario
After configuring Google Chat, 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 Chat and Google Cloud Speech-To-Text integration works as expected. Depending on your setup, data should flow between Google Chat 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 Chat and Google Cloud Speech-To-Text
Google Chat + Google Cloud Speech-To-Text + Jira: When a new message is received in Google Chat, the audio attachment is downloaded and transcribed using Google Cloud Speech-To-Text. Then, a new Jira issue is created with the transcription as the description.
Google Chat + Google Cloud Speech-To-Text + Google Docs: When a new message with an attachment is received in Google Chat, the audio attachment is transcribed using Google Cloud Speech-To-Text. The resulting transcription is then appended to a specified Google Docs document.
Google Chat and Google Cloud Speech-To-Text integration alternatives
About Google Chat
Use Google Chat in Latenode for automated notifications & alerts. Trigger messages based on events in other apps, like new database entries or payment confirmations. Centralize alerts and status updates across services within a single, scalable Latenode workflow. Add custom logic and AI for smart notifications.
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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 Google Chat and Google Cloud Speech-To-Text
How can I connect my Google Chat account to Google Cloud Speech-To-Text using Latenode?
To connect your Google Chat 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 Chat and click on "Connect".
- Authenticate your Google Chat and Google Cloud Speech-To-Text accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I transcribe Google Chat voice messages using Speech-To-Text?
Yes, you can! Latenode automates transcription, forwarding results back to Google Chat. Eliminate manual transcription and analyze voice data effortlessly.
What types of tasks can I perform by integrating Google Chat with Google Cloud Speech-To-Text?
Integrating Google Chat with Google Cloud Speech-To-Text allows you to perform various tasks, including:
- Transcribing voice messages in Google Chat channels automatically.
- Analyzing sentiment of transcribed messages for feedback.
- Creating searchable archives of voice conversations.
- Triggering alerts based on keywords spoken in voice messages.
- Summarizing long voice conversations for quick review.
How does Latenode handle authentication for Google Chat?
Latenode uses secure OAuth to authenticate Google Chat, ensuring your credentials are never directly stored on our platform.
Are there any limitations to the Google Chat 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 experience processing delays depending on Google Cloud Speech-To-Text API limits.
- Real-time transcription is not supported; processing occurs after the voice message is sent.
- Integration performance is subject to the uptime and rate limits of both Google Chat and Google Cloud Speech-To-Text APIs.