Hive and OCR Space Integration

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Automatically extract data from images in Hive using OCR Space. Latenode's visual editor simplifies setup, while affordable pricing makes scaling your document processing workflows cost-effective. Enhance with custom JavaScript as needed.

Hive + OCR Space integration

Connect Hive and OCR Space in minutes with Latenode.

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Hive

OCR Space

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Hive and OCR Space

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

Add the Hive Node

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

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Hive

Configure the Hive

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

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Sign In

Run node once

Add the OCR Space Node

Next, click the plus (+) icon on the Hive 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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Run node once

Configure the Hive 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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OCR Space Oauth 2.0

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Run node once

Set Up the Hive 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 Hive, 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 Hive and OCR Space integration works as expected. Depending on your setup, data should flow between Hive 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 Hive and OCR Space

OCR Space + Google Drive + Google Drive: When a new file is added to a specific folder, OCR Space converts the image into text. The original image and the converted text file are then both uploaded to Google Drive.

Slack + OCR Space + Hive: When a new file is added to a Slack channel, OCR Space extracts the text from the image. A new action is then created in Hive based on the extracted text.

Hive and OCR Space integration alternatives

About Hive

Use Hive in Latenode to streamline project management. Create automated task assignments based on triggers from other apps, update task statuses, and generate reports. Latenode’s visual editor lets you connect Hive to your entire workflow, adding logic and integrations beyond Hive's built-in features. Scale your project automation without complex coding.

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 Hive and OCR Space

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

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

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

Can I extract data from invoices and add it to Hive?

Yes, you can! Latenode simplifies this by combining OCR Space's text recognition with Hive's data management. Automate document processing and reduce manual data entry, freeing up valuable time.

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

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

  • Automatically extracting text from scanned documents into Hive databases.
  • Creating Hive tasks from text found in images or PDFs.
  • Parsing invoice data via OCR and logging it in Hive for accounting.
  • Using AI to classify documents and store extracted text fields in Hive.
  • Triggering Hive actions based on specific text identified via OCR.

How does Latenode handle large volumes of Hive data automatically?

Latenode's robust architecture manages scaling automatically. Process large Hive datasets using parallel execution and efficient resource allocation.

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

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

  • OCR Space's API has usage limits based on your subscription plan.
  • Complex document layouts may require advanced OCR configuration.
  • Real-time processing of very large documents can impact workflow speed.

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