OCR Space and Render Integration

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Automatically render documents from scanned images. Using OCR Space and Render together on Latenode lets you add custom logic with JavaScript, and scale affordably by paying only for execution time.

Swap Apps

OCR Space

Render

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect OCR Space and Render

Create a New Scenario to Connect OCR Space and Render

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

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Connect OCR Space

Sign In

Run node once

Add the Render Node

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

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Render

Authenticate Render

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

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OCR Space

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Render

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Connect Render

Sign In

Run node once

Configure the OCR Space and Render 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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Select an action *

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The action ID

Run node once

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

Google Drive + OCR Space + Render: When a new or modified design document is detected in Google Drive, OCR Space converts the image to text. This text triggers a deploy in Render, updating the website with the new content.

Render + OCR Space + Slack: When a Render deploy fails, OCR Space scans the deployment error log (presumably stored as an image or PDF), extracts the error message, and sends an alert to a designated Slack channel.

OCR Space and Render 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 Render

Automate Render deployments with Latenode. Trigger server actions (like scaling or updates) based on events in other apps. Monitor build status and errors via Latenode alerts and integrate Render logs into wider workflow diagnostics. No-code interface simplifies setup and reduces manual DevOps work.

See how Latenode works

FAQ OCR Space and Render

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

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

Can I automatically update Render with text from scanned documents?

Yes, you can! Latenode automates OCR Space data extraction and updates Render, eliminating manual data entry. Benefit from no-code blocks, JavaScript, and AI-powered data transformation to streamline workflows.

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

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

  • Automatically deploying updated web apps from text in scanned documents.
  • Triggering Render builds based on parsed data from OCR Space scans.
  • Creating dynamic websites using content extracted via OCR.
  • Updating Render configurations with OCR Space-processed information.
  • Building serverless functions that react to changes from OCR scans.

Can I use Javascript to transform data between OCR Space and Render?

Yes, Latenode allows custom JavaScript code to modify data between OCR Space and Render, ensuring precise formatting and advanced logic beyond simple data transfer.

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

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

  • Large file processing by OCR Space can affect workflow execution time.
  • Render's deployment speed depends on the size of the updated application.
  • The free tier of OCR Space API has usage restrictions.

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