Deepgram and Miro Integration

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Automatically transcribe Deepgram audio into Miro boards for collaborative analysis. Latenode’s visual editor and affordable execution pricing make it easier than ever to streamline research and feedback workflows.

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Deepgram

Miro

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Deepgram and Miro

Create a New Scenario to Connect Deepgram and Miro

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 Miro will be your first step. To do this, click "Choose an app," find Deepgram or Miro, 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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Deepgram

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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Connect Deepgram

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Run node once

Add the Miro Node

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

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Authenticate Miro

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

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Sign In

Run node once

Configure the Deepgram and Miro 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 Miro 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, Miro, 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 Miro integration works as expected. Depending on your setup, data should flow between Deepgram and Miro (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 Miro

Deepgram + Miro + Slack: When a new audio file related to a meeting is available, Deepgram transcribes it. The transcription is then added as a new item (e.g., sticky note) to a specified Miro board. Finally, a Slack message is sent to a designated channel, notifying participants with a link to the updated Miro board.

Miro + Deepgram + Google Docs: When a new or updated item (feedback) is added to a Miro board, Deepgram transcribes an audio file from a URL (perhaps a related explanation). The Miro feedback and the Deepgram transcription are then combined and appended to a Google Document.

Deepgram and Miro 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 Miro

Automate Miro board updates based on triggers from other apps. Latenode connects Miro to your workflows, enabling automatic creation of cards, text, or frames. Update Miro based on data from CRMs, databases, or project management tools, reducing manual work. Perfect for agile project tracking and visual process management, inside fully automated scenarios.

See how Latenode works

FAQ Deepgram and Miro

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

To connect your Deepgram account to Miro 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 Miro accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I transcribe Deepgram audio and visualize insights in Miro?

Yes, you can! Latenode lets you automate this, sending Deepgram transcriptions directly to Miro as sticky notes or mind maps for collaborative analysis, speeding up insight discovery.

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

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

  • Automatically creating Miro boards from Deepgram transcript summaries.
  • Generating visual meeting notes in Miro from Deepgram-processed audio.
  • Adding action items from transcribed conversations directly into Miro.
  • Analyzing customer call transcripts via Deepgram and visualizing patterns on Miro.
  • Creating collaborative brainstorming sessions in Miro based on audio analysis.

Can I use JavaScript to customize my Deepgram + Miro workflows?

Yes! Latenode's JavaScript blocks provide advanced control, letting you manipulate data and tailor the integration to your exact needs.

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

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

  • Complex audio analysis requiring custom Deepgram models may need advanced setup.
  • Miro board size limits might affect the visualization of very large transcriptions.
  • Real-time transcription and instant Miro updates depend on network speed.

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