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


Google Cloud Text-To-Speech
⚙
OpenAI ChatGPT

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

Google Cloud Text-To-Speech
⚙
⚙
Iterator
⚙
Webhook response

Save and Activate the Scenario
After configuring Google Cloud Text-To-Speech, OpenAI ChatGPT, 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 OpenAI ChatGPT integration works as expected. Depending on your setup, data should flow between Google Cloud Text-To-Speech and OpenAI ChatGPT (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 OpenAI ChatGPT
OpenAI ChatGPT + Google Cloud Text-To-Speech + Google Docs: Sends a prompt to ChatGPT and converts the response to speech using Google Cloud Text-To-Speech. The audio is then linked or embedded in a new Google Docs document.
Slack + OpenAI ChatGPT + Google Cloud Text-To-Speech: When a new message is posted to a Slack channel, the text is sent to ChatGPT for summarization. The summary is converted to speech using Google Cloud Text-To-Speech.
Google Cloud Text-To-Speech and OpenAI ChatGPT 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.
Similar apps
Related categories
About OpenAI ChatGPT
Integrate ChatGPT into Latenode for automated content generation, sentiment analysis, and smart replies. Create workflows that analyze text, classify data, and personalize customer interactions. Combine AI power with Latenode's flexibility: orchestrate complex processes, manage data flow, and connect to any app via API—all without code.
Similar apps
Related categories
See how Latenode works
FAQ Google Cloud Text-To-Speech and OpenAI ChatGPT
How can I connect my Google Cloud Text-To-Speech account to OpenAI ChatGPT using Latenode?
To connect your Google Cloud Text-To-Speech account to OpenAI ChatGPT 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 OpenAI ChatGPT accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I generate audio from AI-created stories?
Yes, you can! Latenode's visual editor simplifies combining ChatGPT's text generation with Google Cloud Text-To-Speech for automated audiobook creation or personalized learning content.
What types of tasks can I perform by integrating Google Cloud Text-To-Speech with OpenAI ChatGPT?
Integrating Google Cloud Text-To-Speech with OpenAI ChatGPT allows you to perform various tasks, including:
- Create dynamic, AI-generated audio responses for interactive voice applications.
- Automatically generate voiceovers for explainer videos from AI-drafted scripts.
- Build personalized educational content with tailored AI-generated text and audio.
- Develop accessible content by converting AI-generated text into spoken word.
- Automate multilingual voice message creation with AI translation and speech synthesis.
How do I control voice parameters in Latenode workflows?
Latenode allows you to adjust voice, pitch, and speed directly within the Google Cloud Text-To-Speech node using expressions and variables.
Are there any limitations to the Google Cloud Text-To-Speech and OpenAI ChatGPT integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Cost for Google Cloud Text-To-Speech and OpenAI ChatGPT services are separate and based on usage.
- Complex workflow logic may require JavaScript for advanced customization.
- Output audio quality depends on the quality of the text prompt given to OpenAI ChatGPT.