Box and OCR Space Integration

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Automatically extract text from scanned documents stored in Box using OCR Space, then use Latenode's visual editor to process the data further or trigger follow-up actions. Scale affordably and customize your document workflows using JavaScript.

Swap Apps

Box

OCR Space

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Box and OCR Space

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

Add the Box Node

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

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Box

Configure the Box

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

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Box

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Sign In

Run node once

Add the OCR Space Node

Next, click the plus (+) icon on the Box 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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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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OCR Space

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Connect OCR Space

Sign In

Run node once

Configure the Box 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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The action ID

Run node once

Set Up the Box 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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Save and Activate the Scenario

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

Box + OCR Space + Google Sheets: When a new file is added to a Box folder, OCR Space extracts the text from the file. The extracted text is then added as a new row in a Google Sheet.

Box + OCR Space + Slack: When a new file is uploaded to a Box folder, OCR Space extracts text from the document. If a specified term is detected in the extracted text, a message is sent to a Slack channel.

Box and OCR Space integration alternatives

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.

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 Box and OCR Space

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

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

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

Can I automatically process invoices stored in Box using OCR Space?

Yes, you can! Latenode lets you automate this, extracting data from invoices in Box with OCR Space and then use this data for other automated tasks. This saves considerable time and effort!

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

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

  • Extracting text from scanned documents stored in Box.
  • Automatically categorizing Box files based on extracted text.
  • Populating databases with data extracted from Box images.
  • Triggering notifications based on content found in Box files.
  • Converting image-based PDFs in Box into searchable documents.

What Box file types are supported for OCR processing in Latenode?

Latenode supports common image formats like JPEG, PNG, and TIFF, as well as PDF files, for OCR processing from Box. You can also use advanced code to add formats.

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

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

  • OCR Space has rate limits based on your subscription plan.
  • Very poor image quality can impact OCR accuracy.
  • Complex document layouts may require custom parsing logic.

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