Miro and OCR Space Integration

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Automate data extraction from Miro whiteboards: use OCR Space to capture text from images, then parse and integrate it into your workflows. Latenode's visual editor makes complex OCR flows simple, and pay-by-execution pricing keeps costs down as you scale.

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Miro

OCR Space

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Miro and OCR Space

Create a New Scenario to Connect Miro and OCR Space

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

Add the Miro Node

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

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Configure the Miro

Click on the Miro node to configure it. You can modify the Miro 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 OCR Space Node

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

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Authenticate OCR Space

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

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

Most powerful ways to connect Miro and OCR Space

Miro + OCR Space + Google Sheets: When a new or updated item is detected on a Miro board, the image is extracted and the text is converted using OCR Space. The extracted text is then added as a new row in a Google Sheet for data analysis.

Miro + OCR Space + Slack: When a new or updated item is detected on a Miro board, the image is extracted, and OCR Space converts it to text. The extracted text and a link to the Miro board are then sent as a message to a specified Slack channel.

Miro and OCR Space integration alternatives

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.

About OCR Space

Need to extract text from images or PDFs? Use OCR Space in Latenode to automatically process documents and integrate the data into your workflows. Automate invoice processing, data entry, or compliance checks. Latenode adds flexible logic, file parsing, and destinations to your OCR results, scaling beyond single-document processing.

See how Latenode works

FAQ Miro and OCR Space

How can I connect my Miro account to OCR Space using Latenode?

To connect your Miro account to OCR Space on Latenode, follow these steps:

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

Can I automate data extraction from Miro diagrams?

Yes, you can! Latenode’s visual editor makes it simple to extract text from Miro images using OCR Space, saving countless hours of manual data entry. Scale easily with built-in support for high volumes.

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

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

  • Automatically extract text from sticky notes in Miro boards.
  • Convert images of diagrams in Miro into editable text.
  • Create searchable archives of visually-rich Miro content.
  • Trigger workflows based on text identified in Miro images.
  • Populate databases using data parsed from Miro whiteboards.

How can I automate Miro board creation using Latenode?

Use Latenode's Miro integration to automatically create boards from templates or data, streamlining project workflows and ensuring consistency.

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

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

  • OCR Space has rate limits based on your subscription tier.
  • Accuracy of OCR depends on the quality of the Miro image.
  • Complex diagram structures may require advanced parsing logic.

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