Caption AI and Miro Integration

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Automatically add engaging, AI-generated captions from Caption AI to Miro boards for collaborative content creation. Latenode’s visual editor and affordable pay-per-use model make it easy to refine captions, improving engagement while scaling affordably.

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Caption AI

Miro

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Caption AI and Miro

Create a New Scenario to Connect Caption AI 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 Caption AI, triggered by another scenario, or executed manually (for testing purposes). In most cases, Caption AI or Miro will be your first step. To do this, click "Choose an app," find Caption AI or Miro, and select the appropriate trigger to start the scenario.

Add the Caption AI Node

Select the Caption AI node from the app selection panel on the right.

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Caption AI

Configure the Caption AI

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

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Connect Caption AI

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Run node once

Add the Miro Node

Next, click the plus (+) icon on the Caption AI 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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Connect Miro

Sign In

Run node once

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

Caption AI + Miro + Slack: When a new video generation request is completed in Caption AI, the resulting video is shared on a specified Miro board. Then, a notification about the new video is sent to a designated Slack channel.

Miro + Caption AI + Google Docs: When a new board is created in Miro, Caption AI generates a summary from the board's content. The summary is then saved as a new document in Google Docs.

Caption AI and Miro integration alternatives

About Caption AI

Caption AI in Latenode streamlines content creation. Generate captions from images or videos directly within your workflows. Automate social media posting, ad campaigns, or content archiving. Latenode's visual editor and flexible integrations reduce manual work and allow for personalized, automated caption generation at scale, without code.

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 Caption AI and Miro

How can I connect my Caption AI account to Miro using Latenode?

To connect your Caption AI account to Miro on Latenode, follow these steps:

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

Can I automatically transcribe Miro whiteboard sessions to Caption AI?

Yes, you can! Latenode enables seamless data transfer between apps. Automatically send Miro whiteboard transcription requests to Caption AI for fast, accurate results.

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

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

  • Transcribing spoken content from Miro meetings and workshops into text.
  • Creating visual summaries of audio transcripts using Miro whiteboards.
  • Automatically adding captions to Miro presentation recordings.
  • Analyzing sentiment in transcribed Miro discussions using AI blocks.
  • Generating Miro board content from text summaries created in Caption AI.

What file types are supported when importing into Caption AI on Latenode?

Latenode supports various audio/video formats. Leverage Caption AI's format flexibility combined with Latenode's parsing to handle almost any file.

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

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

  • Complex Miro board layouts might require custom logic for optimal transcription.
  • Caption AI's accuracy depends on audio quality.
  • Large Miro boards may cause longer processing times.

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