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

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

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Add the Google Cloud Text-To-Speech Node
Next, click the plus (+) icon on the Figma 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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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 Figma 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 Figma 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.

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Google Cloud Text-To-Speech
Trigger on Webhook
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Save and Activate the Scenario
After configuring Figma, 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 Figma and Google Cloud Text-To-Speech integration works as expected. Depending on your setup, data should flow between Figma 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 Figma and Google Cloud Text-To-Speech
Figma + Google Cloud Text-To-Speech + Slack: When a new comment is posted in Figma, it is converted to speech using Google Cloud Text-To-Speech, and then sent as a message to a specified Slack channel.
Figma + Google Cloud Text-To-Speech + Email: When a new comment is posted in Figma, it is converted to speech using Google Cloud Text-To-Speech, and then sent via email to specified stakeholders.
Figma and Google Cloud Text-To-Speech integration alternatives
About Figma
Automate design workflows by connecting Figma to Latenode. Extract design assets, update text layers based on database values, or trigger notifications on component changes. Scale design operations by automating repetitive tasks and integrating them into broader business processes using Latenode's visual editor and code customization options.
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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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FAQ Figma and Google Cloud Text-To-Speech
How can I connect my Figma account to Google Cloud Text-To-Speech using Latenode?
To connect your Figma account to Google Cloud Text-To-Speech on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Figma and click on "Connect".
- Authenticate your Figma and Google Cloud Text-To-Speech accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automate voiceover creation from Figma designs?
Yes, you can! Latenode enables automated voiceovers from Figma text layers using Google Cloud Text-To-Speech. This saves time and ensures brand consistency across design and audio content.
What types of tasks can I perform by integrating Figma with Google Cloud Text-To-Speech?
Integrating Figma with Google Cloud Text-To-Speech allows you to perform various tasks, including:
- Automatically generate voiceovers for UI prototypes based on text elements.
- Create audio guides from design documentation stored in Figma projects.
- Produce localized audio content using translated Figma text layers.
- Automate audio asset creation for accessibility testing of Figma designs.
- Dynamically update voiceovers when design text changes in Figma files.
How can I use Figma variables within my Latenode workflows?
Use Latenode's data mapping to access Figma variables and dynamically inject them into your Google Cloud Text-To-Speech prompts for personalized audio content.
Are there any limitations to the Figma and Google Cloud Text-To-Speech integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Complex Figma designs with extensive layers may impact workflow performance.
- Google Cloud Text-To-Speech pricing tiers affect the volume of audio generated.
- Custom font support is subject to Google Cloud Text-To-Speech compatibility.