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

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

Google AI
Configure the Google AI
Click on the Google AI node to configure it. You can modify the Google AI URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the Google Cloud Text-To-Speech Node
Next, click the plus (+) icon on the Google AI 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.

Google AI
⚙

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 Google AI 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 Google AI 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
⚙
AI Anthropic Claude 3
⚙

Google Cloud Text-To-Speech
Trigger on Webhook
⚙
Google AI
⚙
⚙
Iterator
⚙
Webhook response

Save and Activate the Scenario
After configuring Google AI, 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 Google AI and Google Cloud Text-To-Speech integration works as expected. Depending on your setup, data should flow between Google AI 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 Google AI and Google Cloud Text-To-Speech
Slack + Google AI + Google Cloud Text-To-Speech: When a new message is posted to a specific Slack channel, Google AI summarizes the message. Then, Google Cloud Text-To-Speech converts the summary into spoken audio and sends it back to the same Slack channel.
Google AI + Google Cloud Text-To-Speech + Gmail: When a new email arrives in Gmail, Google AI generates a chatbot response. Then, Google Cloud Text-To-Speech converts the AI response into spoken audio, and the audio is sent back to the user as an attachment in a new email.
Google AI and Google Cloud Text-To-Speech integration alternatives
About Google AI
Use Google AI in Latenode to add smarts to your workflows. Process text, translate languages, or analyze images automatically. Unlike direct API calls, Latenode lets you combine AI with other apps, add logic, and scale without code. Automate content moderation, sentiment analysis, and more.
Similar apps
Related categories

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.
Similar apps
Related categories
See how Latenode works
FAQ Google AI and Google Cloud Text-To-Speech
How can I connect my Google AI account to Google Cloud Text-To-Speech using Latenode?
To connect your Google AI account to Google Cloud Text-To-Speech on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Google AI and click on "Connect".
- Authenticate your Google AI and Google Cloud Text-To-Speech accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automate voice responses to AI-generated content?
Yes, with Latenode! Automate the process by connecting Google AI to Google Cloud Text-To-Speech, creating dynamic, real-time audio from AI content with advanced logic and custom code.
What types of tasks can I perform by integrating Google AI with Google Cloud Text-To-Speech?
Integrating Google AI with Google Cloud Text-To-Speech allows you to perform various tasks, including:
- Creating automated audio summaries of AI-generated reports.
- Generating voiceovers for AI-created videos.
- Building interactive voice response (IVR) systems powered by AI.
- Converting AI chatbot responses into spoken audio.
- Automating personalized audio messages from AI-driven insights.
What Google AI models are available within Latenode workflows?
Latenode supports Vertex AI, Gemini and more. Seamlessly integrate prompt-based steps with text-to-speech for dynamic content generation.
Are there any limitations to the Google AI and Google Cloud Text-To-Speech integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Usage is subject to Google AI and Google Cloud Text-To-Speech API quotas.
- Complex audio customization may require advanced configuration.
- Real-time processing speed depends on network conditions and API load.