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Automatically analyze images with OpenAI Vision and send the results to Miro for collaborative brainstorming. Latenode's visual editor simplifies complex AI workflows and scales them affordably for any business need.
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Create a New Scenario to Connect OpenAI Vision and Miro
In the workspace, click the โCreate New Scenarioโ button.
Add the First Step
Add the first node โ a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a OpenAI Vision, triggered by another scenario, or executed manually (for testing purposes). In most cases, OpenAI Vision or Miro will be your first step. To do this, click "Choose an app," find OpenAI Vision or Miro, and select the appropriate trigger to start the scenario.
Add the OpenAI Vision Node
Select the OpenAI Vision node from the app selection panel on the right.
OpenAI Vision
Configure the OpenAI Vision
Click on the OpenAI Vision node to configure it. You can modify the OpenAI Vision URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the Miro Node
Next, click the plus (+) icon on the OpenAI Vision node, select Miro from the list of available apps, and choose the action you need from the list of nodes within Miro.
OpenAI Vision
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Miro
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.
Configure the OpenAI Vision 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.
Set Up the OpenAI Vision and Miro Integration
Use various Latenode nodes to transform data and enhance your integration:
JavaScript
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AI Anthropic Claude 3
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Miro
Trigger on Webhook
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OpenAI Vision
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Iterator
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Webhook response
Save and Activate the Scenario
After configuring OpenAI Vision, Miro, and any additional nodes, donโt 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 โRun onceโ and triggering an event to check if the OpenAI Vision and Miro integration works as expected. Depending on your setup, data should flow between OpenAI Vision and Miro (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
OpenAI Vision + Miro + Slack: When a new or updated item is added to a Miro board, OpenAI Vision analyzes the image within the item. The analysis results are then posted back to the same Miro board as an updated item, and a Slack notification is sent to the design team with a summary of the AI's feedback.
Miro + OpenAI Vision + Google Slides: When a new board is created in Miro, the automation retrieves all items from that board. For each item, OpenAI Vision generates a description of the image. Finally, these descriptions are used to create a new presentation in Google Slides.
About OpenAI Vision
Use OpenAI Vision in Latenode to automate image analysis tasks. Detect objects, read text, or classify images directly within your workflows. Integrate visual data with databases or trigger alerts based on image content. Latenode's visual editor and flexible integrations make it easy to add AI vision to any process. Scale automations without per-step pricing.
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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.
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How can I connect my OpenAI Vision account to Miro using Latenode?
To connect your OpenAI Vision account to Miro on Latenode, follow these steps:
Can I automatically generate Miro mindmaps from image analysis?
Yes, with Latenode you can! Use OpenAI Vision to analyze images and then automatically create Miro mindmaps with the extracted data. Latenode's visual editor makes this complex automation simple.
What types of tasks can I perform by integrating OpenAI Vision with Miro?
Integrating OpenAI Vision with Miro allows you to perform various tasks, including:
How does Latenode handle large volumes of image analysis requests?
Latenode's architecture is designed for scale. You can process thousands of images via OpenAI Vision and update Miro boards in real-time, ensuring efficient automation.
Are there any limitations to the OpenAI Vision and Miro integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: