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


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Canny


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


Save and Activate the Scenario
After configuring Google Cloud Text-To-Speech, Canny, 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 Canny integration works as expected. Depending on your setup, data should flow between Google Cloud Text-To-Speech and Canny (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 Canny
Canny + Google Cloud Text-To-Speech + Slack: When a new feature request is created in Canny, the title and content are synthesized into an audio summary using Google Cloud Text-To-Speech, and the audio file is then posted to a designated Slack channel.
Canny + Google Cloud Text-To-Speech + Email: When a new post receives a defined number of votes, its content is synthesized into an audio snippet using Google Cloud Text-To-Speech. This audio snippet is then emailed to stakeholders.
Google Cloud Text-To-Speech and Canny 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 Canny
Integrate Canny with Latenode to automate feedback management. Capture user suggestions and bug reports directly, then route them to the right teams. Use AI to categorize input, update task trackers, and notify users of progress, automating the feedback loop and improving responsiveness.
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FAQ Google Cloud Text-To-Speech and Canny
How can I connect my Google Cloud Text-To-Speech account to Canny using Latenode?
To connect your Google Cloud Text-To-Speech account to Canny 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 Canny accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically announce new Canny posts with voice?
Yes, you can! Latenode lets you trigger Google Cloud Text-To-Speech from Canny events. Announce new feature requests with lifelike voice, making announcements more engaging.
What types of tasks can I perform by integrating Google Cloud Text-To-Speech with Canny?
Integrating Google Cloud Text-To-Speech with Canny allows you to perform various tasks, including:
- Convert new Canny post titles into audio announcements.
- Generate audio summaries of popular feature requests.
- Create voice notifications for new comments on Canny posts.
- Produce audio versions of Canny changelogs for accessibility.
- Send personalized voice messages based on Canny user feedback.
How does Latenode handle Google Cloud Text-To-Speech request limits?
Latenode offers built-in rate limiting and error handling, ensuring your Google Cloud Text-To-Speech integrations remain stable even at high volumes.
Are there any limitations to the Google Cloud Text-To-Speech and Canny integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Complex voice customization might require advanced Google Cloud Text-To-Speech knowledge.
- Large Canny datasets may require optimized workflows for efficient processing.
- Latenode's free plan has usage limits that might affect high-volume workflows.