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Automatically extract text from invoices processed by OCR Space and store it in Fauna for efficient data management and analysis. Latenode’s visual editor simplifies the entire process, offering affordable, execution-based pricing and JavaScript flexibility for complex data transformations.
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Create a New Scenario to Connect Fauna 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 Fauna, triggered by another scenario, or executed manually (for testing purposes). In most cases, Fauna or OCR Space will be your first step. To do this, click "Choose an app," find Fauna or OCR Space, and select the appropriate trigger to start the scenario.
Add the Fauna Node
Select the Fauna node from the app selection panel on the right.
Fauna
Add the OCR Space Node
Next, click the plus (+) icon on the Fauna node, select OCR Space from the list of available apps, and choose the action you need from the list of nodes within OCR Space.
Fauna
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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.
Configure the Fauna 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.
Set Up the Fauna and OCR Space 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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OCR Space
Trigger on Webhook
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Fauna
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Iterator
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Webhook response
Save and Activate the Scenario
After configuring Fauna, 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 Fauna and OCR Space integration works as expected. Depending on your setup, data should flow between Fauna and OCR Space (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
OCR Space + Fauna + Airtable: This automation extracts text from scanned documents using OCR Space. The extracted data is then stored in Fauna. Finally, a summary of the document and its Fauna entry is logged in Airtable for auditing purposes.
OCR Space + Fauna + Google Sheets: Scanned invoices are digitized using OCR Space, and the extracted data is stored in Fauna. Financial records are then exported from Fauna to Google Sheets for reporting and analysis.
About Fauna
Use Fauna in Latenode to build scalable, globally distributed data workflows. Automate user authentication or financial data handling with Fauna's ACID compliance. Integrate it into visual flows for real-time updates and simplified data consistency across all your connected apps.
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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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How can I connect my Fauna account to OCR Space using Latenode?
To connect your Fauna account to OCR Space on Latenode, follow these steps:
Can I automate database updates from scanned invoices?
Yes, you can. Latenode simplifies connecting OCR Space with Fauna. Automatically extract data from invoices, then update your Fauna database records. Save time and minimize manual entry errors.
What types of tasks can I perform by integrating Fauna with OCR Space?
Integrating Fauna with OCR Space allows you to perform various tasks, including:
How does Latenode handle large volumes of OCR data for Fauna?
Latenode offers scalable workflows to manage high volumes of data. Leverage parallel processing and efficient data handling for seamless Fauna updates.
Are there any limitations to the Fauna and OCR Space integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: