RD Station and OCR Space Integration

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Automatically extract data from scanned documents using OCR Space, then update leads or create new contacts in RD Station. Latenode’s visual editor and affordable pricing make this advanced automation accessible, customizable, and scalable for any team.

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RD Station

OCR Space

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect RD Station and OCR Space

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

Add the RD Station Node

Select the RD Station node from the app selection panel on the right.

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RD Station

Configure the RD Station

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

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Sign In

Run node once

Add the OCR Space Node

Next, click the plus (+) icon on the RD Station 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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OCR Space

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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OCR Space

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Connect OCR Space

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Run node once

Configure the RD Station 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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Map

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Run node once

Set Up the RD Station 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 RD Station, 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 RD Station and OCR Space integration works as expected. Depending on your setup, data should flow between RD Station 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 RD Station and OCR Space

OCR Space + RD Station + Google Sheets: When OCR Space converts an image (business card) into text, the contact details are used to update contact information in RD Station. Finally, the data extracted and the update status are logged in a Google Sheet.

OCR Space + RD Station + Slack: When OCR Space processes a form and converts it to text, the flow updates a contact in RD Station and notifies the sales team on Slack about the update, including the form details.

RD Station and OCR Space integration alternatives

About RD Station

Use RD Station in Latenode to automate marketing tasks. Update leads, trigger personalized emails, and track campaign performance, all inside automated workflows. Integrate RD Station data with other apps, enrich with AI, and build custom logic without code. Scale your marketing automation affordably and visually.

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 RD Station and OCR Space

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

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

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

Can I automatically update RD Station from scanned business cards?

Yes, you can! Latenode automates data transfer from OCR Space to RD Station, saving time. Extract data from business cards and instantly enrich your RD Station contacts.

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

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

  • Extracting contact details from scanned invoices to update RD Station.
  • Automatically adding leads from scanned event registration forms.
  • Updating RD Station contacts with data from scanned survey responses.
  • Populating RD Station fields from business cards processed via OCR.
  • Parsing data from scanned documents to trigger personalized email campaigns.

How does Latenode handle data transformation for RD Station fields?

Latenode provides flexible data mapping and transformation tools, including JavaScript code blocks, ensuring accurate data transfer to RD Station.

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

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

  • OCR Space API usage is subject to their pricing and rate limits.
  • Complex document layouts may require advanced OCR configuration.
  • Custom RD Station fields may need manual mapping during setup.

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