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


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Authenticate Teachable
Now, click the Teachable node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Teachable settings. Authentication allows you to use Teachable through Latenode.
Configure the Google Cloud Text-To-Speech and Teachable 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 Teachable 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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Save and Activate the Scenario
After configuring Google Cloud Text-To-Speech, Teachable, 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 Teachable integration works as expected. Depending on your setup, data should flow between Google Cloud Text-To-Speech and Teachable (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 Teachable
Teachable + Google Cloud Text-To-Speech + Email: When a new course is created in Teachable, the content is converted to audio using Google Cloud Text-To-Speech, and an email is sent to users enrolled in the course, notifying them about the availability of the audio version.
Teachable + Google Cloud Text-To-Speech + Discord bot: When a new course is published on Teachable, the course name is converted to audio using Google Cloud Text-To-Speech, and the Discord bot sends an audio announcement to a specified channel.
Google Cloud Text-To-Speech and Teachable 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 Teachable
Automate Teachable course management in Latenode. Enroll students, track progress, and send targeted communications based on course activity. Integrate with CRMs or marketing platforms for personalized learning paths. Use Latenode’s visual editor and flexible nodes for streamlined student lifecycle automation.
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FAQ Google Cloud Text-To-Speech and Teachable
How can I connect my Google Cloud Text-To-Speech account to Teachable using Latenode?
To connect your Google Cloud Text-To-Speech account to Teachable 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 Teachable accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I create audio lessons from blog posts?
Yes, you can! Latenode's no-code interface and AI blocks make it simple. Automatically convert blog content to engaging audio courses, saving you time and expanding student accessibility.
What types of tasks can I perform by integrating Google Cloud Text-To-Speech with Teachable?
Integrating Google Cloud Text-To-Speech with Teachable allows you to perform various tasks, including:
- Automatically generate audio versions of course content.
- Create personalized audio feedback for students.
- Send audio notifications for course updates.
- Offer courses in multiple languages using automated translation.
- Generate audio transcripts for video lectures.
How do I handle API rate limits for Google Cloud Text-To-Speech?
Latenode's advanced queueing and error handling intelligently manage API calls. Ensure reliable performance even with high volumes.
Are there any limitations to the Google Cloud Text-To-Speech and Teachable integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Advanced SSML features might require custom JavaScript coding.
- Real-time audio generation depends on the Google Cloud Text-To-Speech service availability.
- Complex workflow logic may require a Latenode paid plan for adequate resources.