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


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

Save and Activate the Scenario
After configuring Google Cloud Text-To-Speech, Wave, 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 Wave integration works as expected. Depending on your setup, data should flow between Google Cloud Text-To-Speech and Wave (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 Wave
Wave + Google Cloud Text-To-Speech + Email: When a new invoice is created in Wave, convert the invoice details to speech using Google Cloud Text-To-Speech, and then send the audio file as an email attachment to stakeholders.
Wave + Google Cloud Text-To-Speech + Slack: When a new invoice is created in Wave, convert details about overdue payments to speech using Google Cloud Text-To-Speech, and post a summary containing the audio file to a dedicated Slack channel.
Google Cloud Text-To-Speech and Wave 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 Wave
Use Wave in Latenode to automate payment reminders and subscription management. Connect Wave to your CRM or database to trigger personalized emails or SMS based on payment status. Latenode’s visual editor makes it simple to build complex billing workflows and handle edge cases without code, ensuring timely payments and reducing churn.
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FAQ Google Cloud Text-To-Speech and Wave
How can I connect my Google Cloud Text-To-Speech account to Wave using Latenode?
To connect your Google Cloud Text-To-Speech account to Wave 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 Wave accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I create voice reminders in Wave using text from Google Cloud Text-To-Speech?
Yes, you can! Latenode’s visual editor makes it easy to automate voice message creation in Wave, using text converted by Google Cloud Text-To-Speech. Deliver timely updates instantly.
What types of tasks can I perform by integrating Google Cloud Text-To-Speech with Wave?
Integrating Google Cloud Text-To-Speech with Wave allows you to perform various tasks, including:
- Send automated voice notifications via Wave based on specific triggers.
- Create Wave audio greetings using custom text from Google Cloud Text-To-Speech.
- Generate and share synthesized voice summaries in Wave channels.
- Automate language learning workflows by voicing Wave messages.
- Build personalized Wave onboarding sequences with voice prompts.
Can I customize the voice used in Google Cloud Text-To-Speech on Latenode?
Yes, Latenode allows you to select and configure voices offered by Google Cloud Text-To-Speech directly within your workflows.
Are there any limitations to the Google Cloud Text-To-Speech and Wave integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- The length of the text converted to speech may be limited by the Google Cloud Text-To-Speech service.
- Wave's API might have rate limits affecting the frequency of automated voice messages.
- Advanced SSML features might require custom code using Latenode’s JavaScript blocks.