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Automatically extract text from scanned documents in Box using OCR Space. Latenode's visual editor lets you customize the flow with JavaScript and scale affordably, paying only for execution time.
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OCR Space
Box
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Create a New Scenario to Connect OCR Space and Box
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 Box will be your first step. To do this, click "Choose an app," find OCR Space or Box, 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 Box Node
Next, click the plus (+) icon on the OCR Space node, select Box from the list of available apps, and choose the action you need from the list of nodes within Box.
OCR Space
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Box
Authenticate Box
Now, click the Box node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Box settings. Authentication allows you to use Box through Latenode.
Configure the OCR Space and Box 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 Box 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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Box
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, Box, 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 Box integration works as expected. Depending on your setup, data should flow between OCR Space and Box (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Box + OCR Space + Slack: When a new file is added to a specific folder in Box, the file is sent to OCR Space to extract the text. A summary of the extracted text is then sent to a specified Slack channel.
Box + OCR Space + Google Sheets: When a new file (invoice) is uploaded to a specific folder in Box, OCR Space extracts the relevant data. This data is then logged as a new row in a designated Google Sheet.
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 Box
Automate Box file management within Latenode workflows. Trigger actions based on file uploads, updates, or deletions. Streamline content workflows: automatically process files, extract data, and route them to other apps like CRMs or databases. Use Latenode’s visual editor to build flexible, scalable solutions without code, and reduce manual file handling.
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How can I connect my OCR Space account to Box using Latenode?
To connect your OCR Space account to Box on Latenode, follow these steps:
Can I automatically archive processed invoices in Box?
Yes, with Latenode, automatically archive OCR Space-processed invoices directly into designated Box folders. This ensures efficient document management and streamlined workflows, leveraging Latenode's advanced routing.
What types of tasks can I perform by integrating OCR Space with Box?
Integrating OCR Space with Box allows you to perform various tasks, including:
How accurate is OCR Space's text extraction within Latenode?
OCR Space's accuracy is high, but depends on image quality. Latenode allows pre-processing steps to improve accuracy or AI for validation.
Are there any limitations to the OCR Space and Box integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: