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Automatically populate Nimble CRM with contact details extracted from business cards or documents using OCR Space and Latenode's visual editor. Scale data entry automation affordably, adding custom logic with JavaScript when needed.
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OCR Space
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Create a New Scenario to Connect OCR Space and Nimble
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 Nimble will be your first step. To do this, click "Choose an app," find OCR Space or Nimble, 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.
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.
Add the Nimble Node
Next, click the plus (+) icon on the OCR Space node, select Nimble from the list of available apps, and choose the action you need from the list of nodes within Nimble.
OCR Space
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Nimble
Authenticate Nimble
Now, click the Nimble node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Nimble settings. Authentication allows you to use Nimble through Latenode.
Configure the OCR Space and Nimble 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 OCR Space and Nimble 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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Nimble
Trigger on Webhook
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OCR Space
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Iterator
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Webhook response
Save and Activate the Scenario
After configuring OCR Space, Nimble, 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 Nimble integration works as expected. Depending on your setup, data should flow between OCR Space and Nimble (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
OCR Space + Nimble + Google Sheets: Automatically extract contact information from business cards using OCR Space, create a new contact in Nimble, and log the contact details in a Google Sheet.
Nimble + OCR Space + Slack: When a new contact is created in Nimble, having been created via business card conversion through OCR Space, send a notification to a Slack channel.
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.
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About Nimble
Use Nimble within Latenode to enrich contact data and automate outreach. Update your CRM, personalize emails, and trigger follow-ups based on engagement—all visually. Latenode handles the workflow logic and scale, while Nimble provides targeted contact intelligence for smarter automation.
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How can I connect my OCR Space account to Nimble using Latenode?
To connect your OCR Space account to Nimble on Latenode, follow these steps:
Can I automatically update Nimble contacts from scanned business cards?
Yes, with Latenode, you can. Automatically extract contact details from business cards using OCR Space and update Nimble, saving time. Use visual logic to process data before updates.
What types of tasks can I perform by integrating OCR Space with Nimble?
Integrating OCR Space with Nimble allows you to perform various tasks, including:
How accurate is OCR Space's text recognition when used in Latenode workflows?
OCR Space's accuracy depends on image quality. Latenode allows preprocessing steps to improve accuracy and handle errors using JavaScript code.
Are there any limitations to the OCR Space and Nimble integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: