How to connect Nimble and Google Cloud Text-To-Speech
Create a New Scenario to Connect Nimble and Google Cloud Text-To-Speech
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 Nimble, triggered by another scenario, or executed manually (for testing purposes). In most cases, Nimble or Google Cloud Text-To-Speech will be your first step. To do this, click "Choose an app," find Nimble or Google Cloud Text-To-Speech, and select the appropriate trigger to start the scenario.

Add the Nimble Node
Select the Nimble node from the app selection panel on the right.


Nimble

Add the Google Cloud Text-To-Speech Node
Next, click the plus (+) icon on the Nimble node, select Google Cloud Text-To-Speech from the list of available apps, and choose the action you need from the list of nodes within Google Cloud Text-To-Speech.


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Google Cloud Text-To-Speech


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


Save and Activate the Scenario
After configuring Nimble, Google Cloud Text-To-Speech, 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 Nimble and Google Cloud Text-To-Speech integration works as expected. Depending on your setup, data should flow between Nimble and Google Cloud Text-To-Speech (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Nimble and Google Cloud Text-To-Speech
Nimble + Google Cloud Text-To-Speech + Slack: When a new contact is added in Nimble, Google Cloud Text-To-Speech synthesizes a welcome message. This audio message is then posted to a designated Slack channel.
Gmail + Google Cloud Text-To-Speech + Nimble: When a new email arrives in Gmail, its attachment is processed by Google Cloud Text-To-Speech to transcribe any speech. The transcribed text is used to find or create a contact in Nimble, and a summary email is sent.
Nimble and Google Cloud Text-To-Speech integration alternatives

About Nimble
Use Nimble within Latenode to enrich contact data and automate outreach. Update your CRM, personalize emails, and trigger follow-ups based on engagement—all visually. Latenode handles the workflow logic and scale, while Nimble provides targeted contact intelligence for smarter automation.
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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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See how Latenode works
FAQ Nimble and Google Cloud Text-To-Speech
How can I connect my Nimble account to Google Cloud Text-To-Speech using Latenode?
To connect your Nimble account to Google Cloud Text-To-Speech on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Nimble and click on "Connect".
- Authenticate your Nimble and Google Cloud Text-To-Speech accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automate personalized voicemail messages using Nimble and Google Cloud Text-To-Speech?
Yes, you can! Latenode enables automated workflows that convert Nimble contact data into personalized voice messages via Google Cloud Text-To-Speech, enhancing customer engagement.
What types of tasks can I perform by integrating Nimble with Google Cloud Text-To-Speech?
Integrating Nimble with Google Cloud Text-To-Speech allows you to perform various tasks, including:
- Generate personalized voice messages for contacts based on Nimble data.
- Create automated follow-up calls using synthesized speech.
- Transcribe Nimble notes into audio reminders for outreach.
- Convert Nimble contact details to audio files for offline use.
- Automate multilingual customer greetings based on location data.
Can I use JavaScript within my Nimble and Google Cloud Text-To-Speech workflows?
Yes, Latenode's support for JavaScript allows you to add custom logic to your workflows, extending the integration's capabilities.
Are there any limitations to the Nimble and Google Cloud Text-To-Speech integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Google Cloud Text-To-Speech usage is subject to Google's pricing and service limits.
- Large-scale audio generation may require optimization to avoid rate limits.
- Custom voice models require a separate setup process within Google Cloud.