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

Add the Google Cloud Pub\Sub Node
Select the Google Cloud Pub\Sub node from the app selection panel on the right.


Google Cloud Pub\Sub

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


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Authenticate AI: Text-To-Speech
Now, click the AI: Text-To-Speech node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your AI: Text-To-Speech settings. Authentication allows you to use AI: Text-To-Speech through Latenode.
Configure the Google Cloud Pub\Sub and AI: Text-To-Speech 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 Pub\Sub and AI: Text-To-Speech 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 Google Cloud Pub\Sub, AI: Text-To-Speech, 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 Pub\Sub and AI: Text-To-Speech integration works as expected. Depending on your setup, data should flow between Google Cloud Pub\Sub and AI: Text-To-Speech (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 Pub\Sub and AI: Text-To-Speech
Google Cloud Pub\Sub + AI: Text-To-Speech + Slack: Monitors a Google Cloud Pub/Sub topic for new messages, converts the text of these messages into speech using AI Text-To-Speech, and then sends the resulting audio as a message to a designated Slack channel.
Google Cloud Pub\Sub + AI: Text-To-Speech + Google Cloud Storage: When a new message arrives in Google Cloud Pub/Sub, it's converted to speech using AI Text-To-Speech and then saved as an audio file in Google Cloud Storage for later review.
Google Cloud Pub\Sub and AI: Text-To-Speech integration alternatives

About Google Cloud Pub\Sub
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About AI: Text-To-Speech
Automate voice notifications or generate audio content directly within Latenode. Convert text from any source (CRM, databases, etc.) into speech for automated alerts, personalized messages, or content creation. Latenode streamlines text-to-speech workflows and eliminates manual audio tasks, integrating seamlessly with your existing data and apps.
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FAQ Google Cloud Pub\Sub and AI: Text-To-Speech
How can I connect my Google Cloud Pub\Sub account to AI: Text-To-Speech using Latenode?
To connect your Google Cloud Pub\Sub account to AI: Text-To-Speech on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Google Cloud Pub\Sub and click on "Connect".
- Authenticate your Google Cloud Pub\Sub and AI: Text-To-Speech accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I convert Pub\Sub messages to speech?
Yes, you can! With Latenode, trigger AI: Text-To-Speech from Pub\Sub messages. This enables real-time audio notifications and content repurposing, streamlined with no-code ease.
What types of tasks can I perform by integrating Google Cloud Pub\Sub with AI: Text-To-Speech?
Integrating Google Cloud Pub\Sub with AI: Text-To-Speech allows you to perform various tasks, including:
- Creating automated audio alerts based on Pub\Sub message content.
- Generating podcasts from articles published via Pub\Sub topics.
- Building real-time voice notifications for critical system events.
- Automatically transcribing Pub\Sub data for accessibility purposes.
- Developing voice-enabled applications triggered by Pub\Sub events.
Can I filter Pub\Sub messages before processing them in Latenode?
Yes, you can filter messages using Latenode's logic blocks or JavaScript to process only relevant information, improving efficiency.
Are there any limitations to the Google Cloud Pub\Sub and AI: Text-To-Speech integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- AI: Text-To-Speech conversion rates are subject to the service's pricing tiers.
- Large message volumes in Pub\Sub may impact workflow execution time.
- Custom SSML features may require JavaScript knowledge within Latenode.