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


Google Cloud Text-To-Speech
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Bexio


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

JavaScript
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AI Anthropic Claude 3
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Bexio
Trigger on Webhook
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Google Cloud Text-To-Speech
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Iterator
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Webhook response


Save and Activate the Scenario
After configuring Google Cloud Text-To-Speech, Bexio, 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 Bexio integration works as expected. Depending on your setup, data should flow between Google Cloud Text-To-Speech and Bexio (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 Bexio
Bexio + Google Cloud Text-To-Speech + Slack: When a new sales invoice is created in Bexio, the total amount is converted to speech using Google Cloud Text-To-Speech. The resulting audio file is then sent to a specified Slack channel.
Bexio + Google Cloud Text-To-Speech + Email: Upon creation of a new sales invoice in Bexio, the invoice details are summarized and converted into audio using Google Cloud Text-To-Speech. This audio summary is then sent via email for quick review.
Google Cloud Text-To-Speech and Bexio 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 Bexio
Sync Bexio contacts, invoices, or products with other apps via Latenode. Automate accounting tasks: trigger invoice creation from new orders or update customer data across your stack. Latenode's visual editor simplifies building complex workflows, and its JavaScript node adds flexibility beyond Bexio's defaults.
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FAQ Google Cloud Text-To-Speech and Bexio
How can I connect my Google Cloud Text-To-Speech account to Bexio using Latenode?
To connect your Google Cloud Text-To-Speech account to Bexio 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 Bexio accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I generate personalized voice messages for new Bexio contacts?
Yes, you can! Latenode's AI blocks allow you to create dynamic, prompt-based audio content triggered by new Bexio contacts, enhancing customer engagement.
What types of tasks can I perform by integrating Google Cloud Text-To-Speech with Bexio?
Integrating Google Cloud Text-To-Speech with Bexio allows you to perform various tasks, including:
- Automatically generate voice memos for new invoice records.
- Create personalized audio greetings for new customer onboarding.
- Convert support tickets into audio summaries for field staff.
- Send voice notifications for overdue payments.
- Generate audio reports of key Bexio metrics for management.
How secure is my Google Cloud Text-To-Speech data within Latenode?
Latenode employs robust security measures, including encryption and access controls, to protect your Google Cloud Text-To-Speech data.
Are there any limitations to the Google Cloud Text-To-Speech and Bexio integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Complex audio editing features are not directly available within Latenode.
- Very large audio file processing may impact workflow execution time.
- Custom voice model training requires direct Google Cloud Text-To-Speech configuration.