OCR Space and Google AI Integration

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Automate document processing by using OCR Space to extract text, then leverage Google AI for analysis. Latenode's visual editor and affordable execution-based pricing make complex AI workflows accessible. Easily refine extractions and analyses using custom JavaScript when needed.

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OCR Space

Google AI

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect OCR Space and Google AI

Create a New Scenario to Connect OCR Space and Google AI

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

Add the Google AI Node

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

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Authenticate Google AI

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

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Configure the OCR Space and Google AI 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 Google AI 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, Google AI, 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 Google AI integration works as expected. Depending on your setup, data should flow between OCR Space and Google AI (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 Google AI

OCR Space + Google AI + Slack: When a new file is added to a Slack channel, the text is extracted from the image using OCR Space. Google AI then analyzes the sentiment of the extracted text. Finally, the sentiment analysis results are sent to the same Slack channel.

OCR Space + Google AI + Google Sheets: When a new file is added to a Slack channel, the text is extracted from the document using OCR Space. Google AI summarizes the extracted text using Gemini. The summary, original text, and file information are then saved in a new row in a Google Sheet.

OCR Space and Google AI 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 Google AI

Use Google AI in Latenode to add smarts to your workflows. Process text, translate languages, or analyze images automatically. Unlike direct API calls, Latenode lets you combine AI with other apps, add logic, and scale without code. Automate content moderation, sentiment analysis, and more.

See how Latenode works

FAQ OCR Space and Google AI

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

To connect your OCR Space account to Google AI 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 Google AI accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I automatically translate text extracted from images?

Yes, you can! Latenode simplifies this. Extract text with OCR Space, then use Google AI for instant translation. Automate document processing for global teams.

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

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

  • Automate data entry from scanned documents into databases.
  • Extract and categorize information from invoices automatically.
  • Analyze sentiment of handwritten feedback forms.
  • Translate text from images into multiple languages at scale.
  • Process and understand information in visual content automatically.

How secure is OCR Space data processing using Latenode?

Latenode provides secure connections, ensuring your OCR Space data is processed safely and efficiently within your workflows.

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

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

  • Complex image layouts may impact OCR Space accuracy.
  • Google AI's processing limits depend on your account's quota.
  • Real-time processing of extremely large image batches may require optimization.

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