How to connect Google Cloud Text-To-Speech and Moxie
Create a New Scenario to Connect Google Cloud Text-To-Speech and Moxie
In the workspace, click the βCreate New Scenarioβ button.

Add the First Step
Add the first node β 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 Moxie will be your first step. To do this, click "Choose an app," find Google Cloud Text-To-Speech or Moxie, 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 Moxie Node
Next, click the plus (+) icon on the Google Cloud Text-To-Speech node, select Moxie from the list of available apps, and choose the action you need from the list of nodes within Moxie.


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Authenticate Moxie
Now, click the Moxie node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Moxie settings. Authentication allows you to use Moxie through Latenode.
Configure the Google Cloud Text-To-Speech and Moxie 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 Moxie 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 donβt 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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Save and Activate the Scenario
After configuring Google Cloud Text-To-Speech, Moxie, and any additional nodes, donβt 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 βRun onceβ and triggering an event to check if the Google Cloud Text-To-Speech and Moxie integration works as expected. Depending on your setup, data should flow between Google Cloud Text-To-Speech and Moxie (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 Moxie
Moxie + Google Cloud Text-To-Speech + Slack: When a new form submission is created in Moxie, the text from the form submission is synthesized into speech using Google Cloud Text-To-Speech. The resulting audio is then sent to a designated Slack channel for agent training purposes.
Zendesk + Google Cloud Text-To-Speech + Moxie: When a new ticket is created in Zendesk, the ticket details are synthesized into speech using Google Cloud Text-To-Speech. This audio is then used to create a task in Moxie for agent review during call preparation.
Google Cloud Text-To-Speech and Moxie 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 Moxie
Use Moxie in Latenode to automate data entry and validation workflows. Pull data from multiple sources, use Moxie to clean and standardize it, then push the refined data to your databases or apps. Benefit from Latenode's visual editor and scalable architecture to handle large datasets efficiently without code.
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FAQ Google Cloud Text-To-Speech and Moxie
How can I connect my Google Cloud Text-To-Speech account to Moxie using Latenode?
To connect your Google Cloud Text-To-Speech account to Moxie 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 Moxie accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automate voice responses in Moxie using Google Cloud Text-To-Speech?
Yes, you can. Latenode allows you to automate voice responses, improving customer experience. Use no-code blocks, JavaScript, or AI to create tailored, dynamic audio responses.
What types of tasks can I perform by integrating Google Cloud Text-To-Speech with Moxie?
Integrating Google Cloud Text-To-Speech with Moxie allows you to perform various tasks, including:
- Automatically generate voice responses based on customer inquiries.
- Create proactive voice notifications for important account updates.
- Transcribe text-based chat logs into audio format for accessibility.
- Personalize greetings with dynamic voice messages for each customer.
- Trigger voice surveys after chat sessions to collect feedback.
HowdoIcustomizevoiceparametersinGoogleCloudText-To-SpeechonLatenode?
Latenode provides granular control over voice parameters. Adjust pitch, speed, and language directly within the workflow for optimal audio output.
Are there any limitations to the Google Cloud Text-To-Speech and Moxie integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Real-time voice generation depends on the Google Cloud Text-To-Speech API's rate limits.
- Advanced voice customization requires familiarity with Google Cloud Text-To-Speech's options.
- Complex workflow logic may necessitate JavaScript for advanced data manipulation.