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


Google Cloud Text-To-Speech
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Jibble


Authenticate Jibble
Now, click the Jibble node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Jibble settings. Authentication allows you to use Jibble through Latenode.
Configure the Google Cloud Text-To-Speech and Jibble 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 Jibble 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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Jibble
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, Jibble, 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 Jibble integration works as expected. Depending on your setup, data should flow between Google Cloud Text-To-Speech and Jibble (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 Jibble
Jibble + Google Cloud Text-To-Speech + Slack: When an employee clocks in or out in Jibble, a daily timesheet summary is converted to audio using Google Cloud Text-To-Speech. The audio is then sent as a direct message to the manager in Slack.
Jibble + Google Cloud Text-To-Speech + Email: When an employee clocks in late according to Jibble's records, Google Cloud Text-To-Speech generates a spoken reminder of the company's punctuality policy. This audio reminder is then sent to the employee via email.
Google Cloud Text-To-Speech and Jibble 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 Jibble
Jibble streamlines time tracking. Connect it to Latenode to automate payroll, project costing, or attendance alerts. Send Jibble data to accounting software or HR platforms automatically. Use Latenode's visual editor to create custom rules and notifications based on employee time entries, eliminating manual data transfer and ensuring accurate records.
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FAQ Google Cloud Text-To-Speech and Jibble
How can I connect my Google Cloud Text-To-Speech account to Jibble using Latenode?
To connect your Google Cloud Text-To-Speech account to Jibble 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 Jibble accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I announce employee clock-ins with audio?
Yes, you can! Latenode lets you trigger custom audio messages via Google Cloud Text-To-Speech when employees clock in using Jibble, enhancing workplace communication with real-time voice alerts.
What types of tasks can I perform by integrating Google Cloud Text-To-Speech with Jibble?
Integrating Google Cloud Text-To-Speech with Jibble allows you to perform various tasks, including:
- Announce employee clock-ins and clock-outs using custom voice messages.
- Create audio notifications for exceeding work hour limits.
- Generate spoken reports on employee attendance for managers.
- Trigger voice reminders for employees to take breaks.
- Send audio alerts for missed clock-ins or unexpected absences.
How secure is my Google Cloud Text-To-Speech data on Latenode?
Latenode uses industry-standard encryption and security practices to protect your Google Cloud Text-To-Speech data during integration and workflow execution.
Are there any limitations to the Google Cloud Text-To-Speech and Jibble integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Google Cloud Text-To-Speech language support depends on Google's available voices.
- Jibble's API rate limits might affect high-volume, real-time workflows.
- Custom JavaScript coding might be required for advanced logic.