OCR Space and Confluence Integration

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Automatically populate your Confluence knowledge base: OCR Space extracts text from documents and Latenode seamlessly adds it to Confluence. Customize formatting with JavaScript or scale enterprise workflows affordably, paying only for execution time.

Swap Apps

OCR Space

Confluence

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect OCR Space and Confluence

Create a New Scenario to Connect OCR Space and Confluence

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

Add the OCR Space Node

Select the OCR Space node from the app selection panel on the right.

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Configure the OCR Space

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

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

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Authenticate Confluence

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

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

Most powerful ways to connect OCR Space and Confluence

OCR Space + Confluence + Slack: When a new invoice image is available, OCR Space converts the image to text. The extracted text is then used to create a new page in Confluence, and a message is sent to a Slack channel to notify the accounting team.

Confluence + OCR Space + Google Drive: When a new page is created or updated in Confluence, the page content is extracted and processed by OCR Space. The resulting text or PDF is then saved as a new file in Google Drive for archival purposes.

OCR Space and Confluence integration alternatives

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.

About Confluence

Automate Confluence tasks in Latenode: create pages, update content, or trigger workflows when pages change. Connect Confluence to other apps (like Jira or Slack) for streamlined project updates and notifications. Use Latenode’s visual editor and JS node for custom logic and efficient information sharing across teams.

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FAQ OCR Space and Confluence

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

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

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

Can I automate document processing into Confluence pages?

Yes, you can! Latenode enables seamless automation, extracting text from images via OCR Space and formatting it directly into Confluence pages. Enhance your content management with this streamlined process.

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

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

  • Automatically creating Confluence pages from scanned documents.
  • Extracting data from invoices and adding it to Confluence tables.
  • Converting image-based reports into searchable Confluence content.
  • Archiving scanned legal documents directly into a Confluence space.
  • Updating Confluence pages with text extracted from updated images.

Can Latenode handle large volumes of OCR Space documents?

Yes, Latenode is designed for scalability. Our platform can efficiently process large batches of OCR Space documents and update your Confluence pages automatically.

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

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

  • Complex document layouts may require custom formatting in Confluence.
  • The accuracy of OCR depends on the quality of the original image.
  • Very large files might experience longer processing times.

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