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

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


Google Cloud Text-To-Speech

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


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Google Chat

Authenticate Google Chat
Now, click the Google Chat node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Google Chat settings. Authentication allows you to use Google Chat through Latenode.
Configure the Google Cloud Text-To-Speech and Google Chat 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 Text-To-Speech and Google Chat 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 Chat
Trigger on Webhook
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Save and Activate the Scenario
After configuring Google Cloud Text-To-Speech, Google Chat, 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 Text-To-Speech and Google Chat integration works as expected. Depending on your setup, data should flow between Google Cloud Text-To-Speech and Google Chat (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 Text-To-Speech and Google Chat
Google Chat + Google Translate + Google Cloud Text-To-Speech: When a new message arrives in Google Chat, it is translated to English and then synthesized into speech using Google Cloud Text-To-Speech for easy audio consumption.
Google Chat + Google Cloud Text-To-Speech + ClickUp: When a new message is received in Google Chat, it's converted to an audio note using Google Cloud Text-To-Speech and then used to create a new task in ClickUp.
Google Cloud Text-To-Speech and Google Chat integration alternatives

About Google Cloud Text-To-Speech
Use Google Cloud Text-To-Speech in Latenode to automate voice notifications, generate audio content from text, and create dynamic IVR systems. Integrate it into any workflow with a drag-and-drop interface. No code is required, and it's fully customizable with JavaScript for complex text manipulations. Automate voice tasks efficiently without vendor lock-in.
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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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FAQ Google Cloud Text-To-Speech and Google Chat
How can I connect my Google Cloud Text-To-Speech account to Google Chat using Latenode?
To connect your Google Cloud Text-To-Speech account to Google Chat on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Google Cloud Text-To-Speech and click on "Connect".
- Authenticate your Google Cloud Text-To-Speech and Google Chat accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I send voice updates to a chat group?
Yes, you can! Latenode lets you automate voice messages in Google Chat triggered by any event. This improves team communication with instant, spoken notifications based on your data.
What types of tasks can I perform by integrating Google Cloud Text-To-Speech with Google Chat?
Integrating Google Cloud Text-To-Speech with Google Chat allows you to perform various tasks, including:
- Sending automated voice notifications to a chat channel.
- Generating audio summaries of daily reports.
- Creating voice-based reminders within Google Chat.
- Transcribing chat messages into audio for accessibility.
- Building custom voice assistants for your team.
HowsecureistheGoogleCloudText-To-SpeechintegrationonLatenode?
Latenode uses industry-standard security protocols to protect your data. Connections are encrypted, and access permissions are strictly managed.
Are there any limitations to the Google Cloud Text-To-Speech and Google Chat integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Long audio files may experience processing delays.
- The quality of speech output depends on the source text.
- Rate limits apply to both Google Cloud Text-To-Speech and Google Chat APIs.