OCR Space and AI Agent Integration

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Automate document processing by combining OCR Space's text extraction with AI Agent's intelligent analysis. Latenode’s visual editor makes it easier than ever to build customized workflows, while affordable pricing scales with your document volume. Enhance data accuracy by adding custom JavaScript for pre or post-processing.

Swap Apps

OCR Space

AI Agent

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect OCR Space and AI Agent

Create a New Scenario to Connect OCR Space and AI Agent

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 AI Agent will be your first step. To do this, click "Choose an app," find OCR Space or AI Agent, 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.

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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.

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OCR Space

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Connect OCR Space

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Run node once

Add the AI Agent Node

Next, click the plus (+) icon on the OCR Space node, select AI Agent from the list of available apps, and choose the action you need from the list of nodes within AI Agent.

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AI Agent

Authenticate AI Agent

Now, click the AI Agent node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your AI Agent settings. Authentication allows you to use AI Agent through Latenode.

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Configure the OCR Space and AI Agent 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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Run node once

Set Up the OCR Space and AI Agent 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 OCR Space, AI Agent, 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 AI Agent integration works as expected. Depending on your setup, data should flow between OCR Space and AI Agent (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.

Most powerful ways to connect OCR Space and AI Agent

OCR Space + AI Agent + Google Sheets: Extracts text from scanned invoices using OCR Space, analyzes the extracted data for anomalies using an AI Agent, and then logs the analysis results in a Google Sheet.

OCR Space + AI Agent + Slack: Extracts text from scanned documents (contracts) using OCR Space, summarizes the key points using an AI Agent, and posts the summary to a designated Slack channel.

OCR Space and AI Agent integration alternatives

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.

About AI Agent

Use AI Agent in Latenode to automate content creation, data analysis, or customer support. Configure agents with prompts, then integrate them into workflows. Unlike standalone solutions, Latenode lets you connect AI to any app, scale automatically, and customize with code where needed.

See how Latenode works

FAQ OCR Space and AI Agent

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

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

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

Can I extract data from invoices and summarize them?

Yes, you can! Latenode lets you automate the entire process. OCR Space extracts invoice data and AI Agent provides summaries, saving time and ensuring consistent reporting.

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

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

  • Automatically categorize scanned documents based on their content.
  • Extract data from receipts and analyze spending habits.
  • Process handwritten forms and populate a database.
  • Identify key information in legal contracts for compliance checks.
  • Convert scanned images into searchable and editable text files.

How does Latenode enhance OCR Space data processing?

Latenode allows pre-processing via JavaScript or Headless Node, improving OCR accuracy and cleaning data before AI analysis.

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

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

  • The accuracy of OCR Space depends on the quality of the scanned document.
  • AI Agent's performance is subject to the complexity of the prompt.
  • Large volumes of data processing might require a higher Latenode plan.

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