Render and OCR Space Integration

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Automatically deploy application updates on Render after OCR Space processes and extracts data from documents. Latenode’s visual editor and JavaScript support makes this complex workflow simple to build and scale, while you only pay for execution time.

Swap Apps

Render

OCR Space

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Render and OCR Space

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

Add the Render Node

Select the Render node from the app selection panel on the right.

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Render

Configure the Render

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

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Render

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Connect Render

Sign In

Run node once

Add the OCR Space Node

Next, click the plus (+) icon on the Render 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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Render

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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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Render

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OCR Space

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Connect OCR Space

Sign In

Run node once

Configure the Render 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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OCR Space

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OCR Space Oauth 2.0

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Select an action *

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The action ID

Run node once

Set Up the Render 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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OCR Space

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Trigger on Webhook

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Webhook response

Save and Activate the Scenario

After configuring Render, 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 Render and OCR Space integration works as expected. Depending on your setup, data should flow between Render 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 Render and OCR Space

Render + OCR Space + Slack: When a new deploy occurs on Render, extract text from a specified image using OCR Space. Then, if specified keywords are found, send a message to a designated Slack channel.

Render + OCR Space + Google Sheets: When a new deploy occurs on Render, extract text from a specified image using OCR Space. Search for matches from the extracted text within a specific column in a Google Sheet and log the results in another column.

Render and OCR Space integration alternatives

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.

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 Render and OCR Space

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

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

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

Can I automatically update Render based on data extracted from invoices?

Yes, you can! Latenode allows seamless data transfer, updating Render with invoice data processed by OCR Space. Automate updates without coding and improve efficiency.

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

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

  • Automatically deploying code to Render after successful OCR data extraction.
  • Updating Render database records using data parsed from scanned documents.
  • Triggering new Render builds when OCR detects specific keywords in images.
  • Creating Render environment variables based on text extracted from PDFs.
  • Generating reports in Render using processed data from OCR Space results.

Can I use JavaScript code to process OCR Space data before updating Render?

Yes! Latenode allows you to use JavaScript code to customize the data flow between OCR Space and Render, giving you complete control.

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

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

  • Large document processing may experience delays depending on the OCR Space plan.
  • Complex data transformations may require intermediate steps for optimal performance.
  • Render deployments may be affected by external factors beyond Latenode's control.

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