OCR Space and RD Station Integration

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Automatically add leads to RD Station from scanned documents using OCR Space. Latenode's visual editor makes it easy to build custom workflows, while affordable execution-based pricing ensures cost-effective scaling for any volume of documents. Customize with JavaScript if needed.

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OCR Space

RD Station

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect OCR Space and RD Station

Create a New Scenario to Connect OCR Space and RD Station

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 RD Station will be your first step. To do this, click "Choose an app," find OCR Space or RD Station, 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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OCR Space

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 RD Station Node

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

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Authenticate RD Station

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

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

OCR Space + RD Station + Google Sheets: Extracts data from invoices using OCR Space, adds the data to RD Station as leads, and logs the lead information, including the extracted data, in a Google Sheet.

RD Station + OCR Space + Email: When a new lead is added to RD Station, this automation checks for attached documents, uses OCR Space to extract text from them, and sends a summary of the extracted text via email.

OCR Space and RD Station 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 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.

See how Latenode works

FAQ OCR Space and RD Station

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

To connect your OCR Space account to RD Station 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 RD Station accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I automatically update RD Station leads from scanned business cards?

Yes, you can! Latenode’s visual editor makes it easy to extract data from business cards using OCR Space and instantly update corresponding leads in RD Station, saving you time and improving data accuracy.

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

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

  • Extracting text from scanned invoices and updating customer data in RD Station.
  • Automatically adding leads to RD Station from scanned event registration forms.
  • Populating RD Station fields with data extracted from scanned contracts.
  • Updating lead information in RD Station based on data from scanned survey responses.
  • Creating new RD Station leads from information gathered from scanned applications.

How can I handle OCR Space API rate limits effectively on Latenode?

Latenode allows you to implement custom logic, including queueing and error handling, to manage OCR Space API limits and ensure reliable RD Station updates.

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

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

  • OCR Space's accuracy can vary depending on the quality of the scanned document.
  • RD Station API limitations may affect the speed and volume of data updates.
  • Complex document layouts may require advanced parsing configurations.

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