How to connect Google Cloud Text-To-Speech and Supabase
Create a New Scenario to Connect Google Cloud Text-To-Speech and Supabase
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 Supabase will be your first step. To do this, click "Choose an app," find Google Cloud Text-To-Speech or Supabase, 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 Supabase Node
Next, click the plus (+) icon on the Google Cloud Text-To-Speech node, select Supabase from the list of available apps, and choose the action you need from the list of nodes within Supabase.


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Authenticate Supabase
Now, click the Supabase node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Supabase settings. Authentication allows you to use Supabase through Latenode.
Configure the Google Cloud Text-To-Speech and Supabase 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 Supabase 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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Supabase
Trigger on Webhook
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Google Cloud Text-To-Speech
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Webhook response

Save and Activate the Scenario
After configuring Google Cloud Text-To-Speech, Supabase, 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 Supabase integration works as expected. Depending on your setup, data should flow between Google Cloud Text-To-Speech and Supabase (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 Supabase
Supabase + Google Cloud Text-To-Speech + Slack: When a new row is added to a Supabase database, its content is synthesized into speech using Google Cloud Text-To-Speech, and the resulting audio is sent as a message to a specified Slack channel.
Supabase + Google Cloud Text-To-Speech + Discord bot: When a new row is created in Supabase, the data from that row is converted into speech using Google Cloud Text-To-Speech and then played as a voice message in a designated Discord channel via a Discord bot.
Google Cloud Text-To-Speech and Supabase 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 Supabase
Use Supabase in Latenode to automate backend tasks: store user data, manage authentication, and trigger functions based on database changes. Integrate Supabase with other services in a visual workflow. Latenode provides flexibility with no-code tools, JS scripts, and direct database connections for advanced automation scenarios.
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FAQ Google Cloud Text-To-Speech and Supabase
How can I connect my Google Cloud Text-To-Speech account to Supabase using Latenode?
To connect your Google Cloud Text-To-Speech account to Supabase 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 Supabase accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I generate audio from database entries using Google Cloud Text-To-Speech and Supabase?
Yes, you can! Latenode allows you to trigger audio generation from new Supabase entries, leveraging Google Cloud Text-To-Speech for dynamic content creation, automating updates and enhancing user experiences.
What types of tasks can I perform by integrating Google Cloud Text-To-Speech with Supabase?
Integrating Google Cloud Text-To-Speech with Supabase allows you to perform various tasks, including:
- Automatically creating audio files from new database records.
- Generating personalized audio messages based on user data.
- Creating audio notifications triggered by database changes.
- Building text-to-speech powered interactive applications.
- Storing and managing generated audio files within Supabase.
How do I handle API rate limits for Google Cloud Text-To-Speech on Latenode?
Latenode offers built-in tools for managing API rate limits, including queueing and delayed execution, ensuring smooth operation and preventing service interruptions.
Are there any limitations to the Google Cloud Text-To-Speech and Supabase integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Free tier usage is subject to the limitations of both services.
- Workflow complexity can impact processing time for large datasets.
- Advanced customization might require JavaScript knowledge.