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Automatically extract text from images stored in Cloudinary using OCR Space, then use Latenode's visual editor to build custom workflows that process this data. Affordably automate document analysis and content moderation with ease, scaling your workflows as needed.
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Create a New Scenario to Connect OCR Space and Cloudinary
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 Cloudinary will be your first step. To do this, click "Choose an app," find OCR Space or Cloudinary, 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 Cloudinary Node
Next, click the plus (+) icon on the OCR Space node, select Cloudinary from the list of available apps, and choose the action you need from the list of nodes within Cloudinary.
OCR Space
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Cloudinary
Authenticate Cloudinary
Now, click the Cloudinary node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Cloudinary settings. Authentication allows you to use Cloudinary through Latenode.
Configure the OCR Space and Cloudinary 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 Cloudinary 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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Cloudinary
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, Cloudinary, 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 Cloudinary integration works as expected. Depending on your setup, data should flow between OCR Space and Cloudinary (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Cloudinary + OCR Space + Google Drive: When a new resource is uploaded to Cloudinary, extract the text from the image using OCR Space. Then, create a new text file in Google Drive with the extracted text.
Cloudinary + OCR Space + Airtable: When a new resource is uploaded to Cloudinary, extract the text using OCR Space. Then, create a new record in Airtable, including the extracted text and the URL of the image.
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 Cloudinary
Automate image and video optimization with Cloudinary in Latenode. Resize, convert, and deliver media assets based on triggers or data from any app. Streamline content workflows by integrating Cloudinary’s powerful transformations directly into your automated processes, reducing manual work. Scale efficiently and pay only for execution time.
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How can I connect my OCR Space account to Cloudinary using Latenode?
To connect your OCR Space account to Cloudinary on Latenode, follow these steps:
Can I automatically optimize and store scanned invoices?
Yes, you can! With Latenode, build automated workflows to extract text from invoices via OCR Space, then automatically optimize and store those images in Cloudinary, saving time and resources.
What types of tasks can I perform by integrating OCR Space with Cloudinary?
Integrating OCR Space with Cloudinary allows you to perform various tasks, including:
How does Latenode handle errors during text extraction?
Latenode provides error handling, allowing you to define actions for failed OCR Space tasks, such as retries or notifications, ensuring reliable automation.
Are there any limitations to the OCR Space and Cloudinary integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: