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

Add the OpenAI Vision Node
Select the OpenAI Vision node from the app selection panel on the right.

OpenAI Vision
Configure the OpenAI Vision
Click on the OpenAI Vision node to configure it. You can modify the OpenAI Vision URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the OCR Space Node
Next, click the plus (+) icon on the OpenAI Vision 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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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.
Configure the OpenAI Vision 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.
Set Up the OpenAI Vision 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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Trigger on Webhook
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Save and Activate the Scenario
After configuring OpenAI Vision, 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 OpenAI Vision and OCR Space integration works as expected. Depending on your setup, data should flow between OpenAI Vision 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 OpenAI Vision and OCR Space
OCR Space + OpenAI Vision + Airtable: When a new image is received by OCR Space, its text is extracted and analyzed by OpenAI Vision. The extracted text and analysis results are then stored as a new record in Airtable.
OCR Space + OpenAI Vision + Google Sheets: When OCR Space receives a new PDF, it extracts the text. OpenAI Vision analyzes an image based on the extracted text. The analyzed data and extracted text are added as a new row in a Google Sheet.
OpenAI Vision and OCR Space integration alternatives
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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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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See how Latenode works
FAQ OpenAI Vision and OCR Space
How can I connect my OpenAI Vision account to OCR Space using Latenode?
To connect your OpenAI Vision account to OCR Space on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select OpenAI Vision and click on "Connect".
- Authenticate your OpenAI Vision and OCR Space accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically extract text from images using AI?
Yes, you can! Latenode simplifies this by connecting OpenAI Vision’s image analysis with OCR Space’s text recognition. Automate data extraction and streamline workflows, saving time and resources.
What types of tasks can I perform by integrating OpenAI Vision with OCR Space?
Integrating OpenAI Vision with OCR Space allows you to perform various tasks, including:
- Automating invoice processing from scanned documents.
- Extracting data from images of receipts for expense tracking.
- Analyzing images for text and then saving the text to a database.
- Monitoring social media images for specific text-based content.
- Processing images to identify text and trigger notifications.
How does Latenode enhance OpenAI Vision’s image analysis capabilities?
Latenode allows you to combine OpenAI Vision with other apps, adding logic and automation not available in OpenAI Vision alone.
Are there any limitations to the OpenAI Vision and OCR Space integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Rate limits apply based on your OpenAI Vision and OCR Space subscriptions.
- Complex or distorted images may reduce OCR accuracy.
- Integration performance depends on network connection speeds.