How to connect OCR Space and OpenAI Vision
Create a New Scenario to Connect OCR Space and OpenAI Vision
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 OpenAI Vision will be your first step. To do this, click "Choose an app," find OCR Space or OpenAI Vision, 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 OpenAI Vision Node
Next, click the plus (+) icon on the OCR Space node, select OpenAI Vision from the list of available apps, and choose the action you need from the list of nodes within OpenAI Vision.

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Authenticate OpenAI Vision
Now, click the OpenAI Vision node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your OpenAI Vision settings. Authentication allows you to use OpenAI Vision through Latenode.
Configure the OCR Space and OpenAI Vision 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 OpenAI Vision 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, OpenAI Vision, 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 OpenAI Vision integration works as expected. Depending on your setup, data should flow between OCR Space and OpenAI Vision (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 OpenAI Vision
Google Drive + OCR Space + Google Drive: When a new image file is added to a Google Drive folder, the automation extracts text from the image using OCR Space. The extracted text is then saved as a new text file in the same Google Drive folder.
Google Drive + OCR Space + Airtable: When a new file is added to Google Drive, the automation extracts text from the image using OCR Space and then creates a new record in an Airtable database with the extracted text.
OCR Space and OpenAI Vision 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.
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About OpenAI Vision
Use OpenAI Vision in Latenode to automate image analysis tasks. Detect objects, read text, or classify images directly within your workflows. Integrate visual data with databases or trigger alerts based on image content. Latenode's visual editor and flexible integrations make it easy to add AI vision to any process. Scale automations without per-step pricing.
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See how Latenode works
FAQ OCR Space and OpenAI Vision
How can I connect my OCR Space account to OpenAI Vision using Latenode?
To connect your OCR Space account to OpenAI Vision 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 OpenAI Vision accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically extract text from images and analyze it?
Yes, you can! Latenode enables seamless integration, allowing you to extract text using OCR Space and send it to OpenAI Vision for analysis, enhancing automation.
What types of tasks can I perform by integrating OCR Space with OpenAI Vision?
Integrating OCR Space with OpenAI Vision allows you to perform various tasks, including:
- Analyze sentiment of text extracted from scanned documents.
- Classify images based on recognized text content.
- Extract data from invoices and validate their authenticity.
- Automate processing of handwritten forms and submissions.
- Identify objects and text in photos for inventory management.
How can I improve OCR Space accuracy on Latenode workflows?
You can enhance accuracy by preprocessing images using Latenode's built-in image manipulation tools before OCR processing.
Are there any limitations to the OCR Space and OpenAI Vision integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Rate limits imposed by OCR Space and OpenAI Vision APIs apply.
- Complex image layouts may require advanced preprocessing.
- Handwritten text recognition accuracy varies.