Figma and AI: Text-To-Speech Integration

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Automate Figma designs into voiceovers. Latenode lets you connect Figma to AI: Text-To-Speech using a visual editor and scale affordably by paying only for execution time. Speed up content creation by automatically generating voice assets.

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Figma

AI: Text-To-Speech

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Figma and AI: Text-To-Speech

Create a New Scenario to Connect Figma and AI: Text-To-Speech

In the workspace, click the β€œCreate 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 AI: Text-To-Speech will be your first step. To do this, click "Choose an app," find Figma or AI: 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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Configure the Figma

Click on the Figma node to configure it. You can modify the Figma URL and choose between DEV and PROD versions. You can also copy it for use in further automations.

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Connect Figma

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Run node once

Add the AI: Text-To-Speech Node

Next, click the plus (+) icon on the Figma node, select AI: Text-To-Speech from the list of available apps, and choose the action you need from the list of nodes within AI: Text-To-Speech.

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Authenticate AI: Text-To-Speech

Now, click the AI: 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 AI: Text-To-Speech settings. Authentication allows you to use AI: Text-To-Speech through Latenode.

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Connect AI: Text-To-Speech

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Configure the Figma and AI: 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.

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AI: Text-To-Speech Oauth 2.0

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Set Up the Figma and AI: 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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Save and Activate the Scenario

After configuring Figma, AI: 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 β€œRun once” and triggering an event to check if the Figma and AI: Text-To-Speech integration works as expected. Depending on your setup, data should flow between Figma and AI: 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 AI: Text-To-Speech

Figma + AI: Text-To-Speech + Slack: When a new file is added to Figma, convert the design text to speech, and then send the audio summary to a Slack channel.

Figma + AI: Text-To-Speech + Google slides: Convert design text from Figma into spoken narration and then create a presentation on Google Slides.

Figma and AI: 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.

About AI: Text-To-Speech

Automate voice notifications or generate audio content directly within Latenode. Convert text from any source (CRM, databases, etc.) into speech for automated alerts, personalized messages, or content creation. Latenode streamlines text-to-speech workflows and eliminates manual audio tasks, integrating seamlessly with your existing data and apps.

See how Latenode works

FAQ Figma and AI: Text-To-Speech

How can I connect my Figma account to AI: Text-To-Speech using Latenode?

To connect your Figma account to AI: 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 AI: Text-To-Speech accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I generate voiceovers from Figma text layers?

Yes, you can! Latenode automates the process, converting Figma text to audio with AI: Text-To-Speech. Save time and resources by automating content creation.

What types of tasks can I perform by integrating Figma with AI: Text-To-Speech?

Integrating Figma with AI: Text-To-Speech allows you to perform various tasks, including:

  • Automating voiceover creation for UI prototypes.
  • Generating audio descriptions for Figma designs.
  • Creating narrated tutorials from Figma presentations.
  • Producing accessible designs with audio cues.
  • Streamlining content creation workflows.

Can I dynamically update voiceovers when Figma designs change?

Yes! Latenode's real-time updates ensure voiceovers reflect design modifications, automating tedious manual updates.

Are there any limitations to the Figma and AI: Text-To-Speech integration on Latenode?

While the integration is powerful, there are certain limitations to be aware of:

  • Complex Figma designs with many layers may require longer processing times.
  • AI: Text-To-Speech voice quality is dependent on the chosen service.
  • Large-scale automation may be subject to API usage limits.

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