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


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Authenticate CloudTalk
Now, click the CloudTalk node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your CloudTalk settings. Authentication allows you to use CloudTalk through Latenode.
Configure the Google Cloud Text-To-Speech and CloudTalk 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 CloudTalk 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 Text-To-Speech, CloudTalk, 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 CloudTalk integration works as expected. Depending on your setup, data should flow between Google Cloud Text-To-Speech and CloudTalk (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 CloudTalk
CloudTalk + Google Cloud Text-To-Speech + Zendesk: When a new call ends in CloudTalk, the call recording is transcribed to text using Google Cloud Text-To-Speech. Then, the generated transcript is added as a comment to the corresponding Zendesk ticket.
CloudTalk + Google Cloud Text-To-Speech + Slack: When a new call ends in CloudTalk, the voicemail is transcribed using Google Cloud Text-To-Speech. If the transcription contains specific keywords, a message is sent to a designated Slack channel.
Google Cloud Text-To-Speech and CloudTalk 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 CloudTalk
Automate CloudTalk call and SMS data within Latenode. Trigger workflows on new calls, messages, or agent status changes. Update CRMs, send alerts, or generate reports automatically. Use Latenode's visual editor and data transformation tools to customize call center automations without complex coding, and scale your workflows efficiently.
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FAQ Google Cloud Text-To-Speech and CloudTalk
How can I connect my Google Cloud Text-To-Speech account to CloudTalk using Latenode?
To connect your Google Cloud Text-To-Speech account to CloudTalk 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 CloudTalk accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automate personalized voicemail messages using both apps?
Yes, you can. Latenode's visual editor allows dynamic content in your voice messages. Send tailored voicemails using customer data, improving engagement rates.
What types of tasks can I perform by integrating Google Cloud Text-To-Speech with CloudTalk?
Integrating Google Cloud Text-To-Speech with CloudTalk allows you to perform various tasks, including:
- Automatically convert customer support tickets into spoken summaries.
- Generate voice responses for missed calls based on pre-defined scripts.
- Create personalized welcome messages for new CloudTalk users.
- Dynamically generate call center announcements.
- Translate text into multiple languages for international call centers.
How secure is Google Cloud Text-To-Speech integration on Latenode's platform?
Latenode employs robust security measures, including encryption, to protect your data during Google Cloud Text-To-Speech and CloudTalk integration.
Are there any limitations to the Google Cloud Text-To-Speech and CloudTalk integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- The length of the text converted is limited by Google Cloud Text-To-Speech's API.
- Custom voice profiles may require additional setup within Google Cloud.
- Real-time voice conversion is subject to latency based on network conditions.