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Automatically extract image metadata from Airparser, then optimize and deliver those images via Cloudinary using Latenode's visual editor for complex workflows. Build scalable media processing automations and fine-tune them with JavaScript, paying only for execution time.
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In the workspace, click the “Create New Scenario” button.

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

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

Cloudinary
Click on the Cloudinary node to configure it. You can modify the Cloudinary URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Next, click the plus (+) icon on the Cloudinary node, select Airparser from the list of available apps, and choose the action you need from the list of nodes within Airparser.

Cloudinary
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Airparser
Now, click the Airparser node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Airparser settings. Authentication allows you to use Airparser through Latenode.
Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.
Use various Latenode nodes to transform data and enhance your integration:

JavaScript
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AI Anthropic Claude 3
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Airparser
Trigger on Webhook
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Cloudinary
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Iterator
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Webhook response
After configuring Cloudinary, Airparser, 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.
Run the scenario by clicking “Run once” and triggering an event to check if the Cloudinary and Airparser integration works as expected. Depending on your setup, data should flow between Cloudinary and Airparser (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Cloudinary + Airparser + Google Drive: When a new resource is uploaded to Cloudinary, Airparser extracts the text from the image. Then, the parsed text is saved as a new file in Google Drive.
Cloudinary + Airparser + Airtable: When a new resource is uploaded to Cloudinary, Airparser extracts data from the document. Then, the parsed data is automatically uploaded as a new record into Airtable.
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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About Airparser
Airparser in Latenode extracts data from PDFs, emails, and documents. Automate data entry by feeding parsed content directly into your CRM or database. Use Latenode's logic functions to validate or transform data, then trigger actions like sending notifications or updating records. Scale document processing without complex code.
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How can I connect my Cloudinary account to Airparser using Latenode?
To connect your Cloudinary account to Airparser on Latenode, follow these steps:
Can I automatically process invoices with images hosted on Cloudinary?
Yes, you can! With Latenode, automate the extraction of data from invoices stored in Cloudinary using Airparser, streamlining your accounting workflows and saving valuable time.
What types of tasks can I perform by integrating Cloudinary with Airparser?
Integrating Cloudinary with Airparser allows you to perform various tasks, including:
How does Latenode simplify Cloudinary image processing?
Latenode simplifies this by providing a visual interface and pre-built blocks, letting you automate complex image workflows without coding.
Are there any limitations to the Cloudinary and Airparser integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: