Enrich Layer and OCR Space Integration

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Combine OCR Space with Enrich Layer to automatically extract text from documents and enrich it with deeper insights. Build it visually on Latenode, customize with JavaScript, and scale your data workflows affordably, paying only for execution time.

Swap Apps

Enrich Layer

OCR Space

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Enrich Layer and OCR Space

Create a New Scenario to Connect Enrich Layer and OCR Space

In the workspace, click the โ€œCreate New Scenarioโ€ button.

Add the First Step

Add the first node โ€“ a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a Enrich Layer, triggered by another scenario, or executed manually (for testing purposes). In most cases, Enrich Layer or OCR Space will be your first step. To do this, click "Choose an app," find Enrich Layer or OCR Space, and select the appropriate trigger to start the scenario.

Add the Enrich Layer Node

Select the Enrich Layer node from the app selection panel on the right.

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Enrich Layer

Configure the Enrich Layer

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

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Add the OCR Space Node

Next, click the plus (+) icon on the Enrich Layer 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 Enrich Layer 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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Set Up the Enrich Layer 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 donโ€™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 Enrich Layer, OCR Space, and any additional nodes, donโ€™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 โ€œRun onceโ€ and triggering an event to check if the Enrich Layer and OCR Space integration works as expected. Depending on your setup, data should flow between Enrich Layer 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 Enrich Layer and OCR Space

OCR Space + Enrich Layer + Airtable: This automation extracts text from a scanned business card using OCR Space. It then enriches the extracted contact details with Enrich Layer. Finally, it creates a new record in Airtable with the enriched information.

OCR Space + Enrich Layer + HubSpot: This workflow begins by scanning an invoice image with OCR Space to extract the company name. The extracted company name is then used to enrich company data via Enrich Layer. Lastly, the automation creates or updates a company record in HubSpot with the enriched information.

Enrich Layer and OCR Space integration alternatives

About Enrich Layer

Enrich Layer inside Latenode automates data validation and enhancement. Fix errors and add missing info to leads or contacts. Clean up data from any source before it reaches your CRM or database. Latenode handles complex logic and scales the process without per-step costs, keeping data accurate and workflows efficient.

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.

Enrich Layer + OCR Space integration

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FAQ Enrich Layer and OCR Space

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

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

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

Can I enrich contact data extracted from scanned business cards?

Yes, you can! Latenode's visual editor makes it easy to enrich OCR Space data with Enrich Layer, providing complete contact profiles automatically.

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

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

  • Automatically enriching lead data extracted from scanned documents.
  • Verifying the accuracy of contact details from image-based sources.
  • Creating detailed profiles from scanned applications.
  • Updating CRM records with validated information parsed from images.
  • Automating data entry processes using AI-powered enrichment.

How does Latenode handle rate limits for Enrich Layer API calls?

Latenode includes built-in rate limiting and error handling to manage Enrich Layer API calls, ensuring smooth and reliable data processing.

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

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

  • OCR Space has page limits based on your subscription tier.
  • Enrich Layer credits are required for each data enrichment.
  • Complex document layouts may require custom OCR configuration.

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