Deepgram and Figma Integration

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Automatically transcribe user interviews from Deepgram and insert them as comments into Figma design prototypes for faster feedback using Latenode’s visual editor and affordable pay-per-use pricing.

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Deepgram

Figma

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Deepgram and Figma

Create a New Scenario to Connect Deepgram and Figma

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 Deepgram, triggered by another scenario, or executed manually (for testing purposes). In most cases, Deepgram or Figma will be your first step. To do this, click "Choose an app," find Deepgram or Figma, and select the appropriate trigger to start the scenario.

Add the Deepgram Node

Select the Deepgram node from the app selection panel on the right.

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Configure the Deepgram

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

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Run node once

Add the Figma Node

Next, click the plus (+) icon on the Deepgram node, select Figma from the list of available apps, and choose the action you need from the list of nodes within Figma.

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Authenticate Figma

Now, click the Figma node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Figma settings. Authentication allows you to use Figma through Latenode.

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Configure the Deepgram and Figma 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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Run node once

Set Up the Deepgram and Figma 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 Deepgram, Figma, 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 Deepgram and Figma integration works as expected. Depending on your setup, data should flow between Deepgram and Figma (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.

Most powerful ways to connect Deepgram and Figma

Figma + Deepgram + Slack: When a new comment is posted on a Figma design, Deepgram transcribes the audio from the comment (if available), and Slack sends a message to a designated channel with the transcription and a link to the Figma file.

Figma + Deepgram + Jira: When a new file version is created in Figma, Deepgram transcribes a prerecorded audio file from a URL (presumably containing design review notes), and Jira creates a new issue with the transcribed notes as the description.

Deepgram and Figma integration alternatives

About Deepgram

Need to transcribe audio/video inside your Latenode automations? Deepgram offers fast, accurate speech-to-text. Connect it to your workflows for automated meeting summaries, content analysis, or customer support monitoring. Fine-tune results with custom vocabularies, all within Latenode's visual interface and code blocks.

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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FAQ Deepgram and Figma

How can I connect my Deepgram account to Figma using Latenode?

To connect your Deepgram account to Figma on Latenode, follow these steps:

  • Sign in to your Latenode account.
  • Navigate to the integrations section.
  • Select Deepgram and click on "Connect".
  • Authenticate your Deepgram and Figma accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I automate design feedback from audio transcripts?

Yes, you can! Latenode’s visual editor makes it easy to trigger Figma updates based on Deepgram transcript analysis, saving time and improving design iteration speed.

What types of tasks can I perform by integrating Deepgram with Figma?

Integrating Deepgram with Figma allows you to perform various tasks, including:

  • Automatically generating Figma comments from audio feedback.
  • Creating design documentation using transcribed audio notes.
  • Generating alt text for Figma designs from audio descriptions.
  • Updating design mockups based on spoken user testing feedback.
  • Transcribing design review meetings and storing them in Figma.

How secure is my Deepgram data when using Latenode?

Latenode employs robust security measures, including encryption and access controls, ensuring your Deepgram data remains secure throughout the integration process.

Are there any limitations to the Deepgram and Figma integration on Latenode?

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

  • Large audio files may require longer processing times.
  • Figma API rate limits may affect high-volume automation.
  • Custom formatting of transcript-based Figma content requires JavaScript.

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