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

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Authenticate OpenAI Responses
Now, click the OpenAI Responses node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your OpenAI Responses settings. Authentication allows you to use OpenAI Responses through Latenode.
Configure the OCR Space and OpenAI Responses 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 Responses 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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OpenAI Responses
Trigger on Webhook
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Save and Activate the Scenario
After configuring OCR Space, OpenAI Responses, 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 Responses integration works as expected. Depending on your setup, data should flow between OCR Space and OpenAI Responses (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 Responses
OCR Space + OpenAI Responses + Google Sheets: When a new document is processed by OCR Space, the extracted text is sent to OpenAI for analysis. The resulting insights are then saved in a new row in a Google Sheets spreadsheet.
OCR Space + OpenAI Responses + Slack: When OCR Space processes a new invoice, the extracted text is summarized by OpenAI. Key details from the summary are then sent as a message to a designated Slack channel.
OCR Space and OpenAI Responses 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 Responses
Need AI-powered text generation? Use OpenAI Responses in Latenode to automate content creation, sentiment analysis, and data enrichment directly within your workflows. Streamline tasks like generating product descriptions or classifying customer feedback. Latenode lets you chain AI tasks with other services, adding logic and routing based on results – all without code.
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See how Latenode works
FAQ OCR Space and OpenAI Responses
How can I connect my OCR Space account to OpenAI Responses using Latenode?
To connect your OCR Space account to OpenAI Responses 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 Responses accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automate document processing with AI summarization?
Yes, you can! Latenode’s visual editor lets you easily extract text from documents with OCR Space and then use OpenAI Responses to summarize the content, saving you time and improving efficiency.
What types of tasks can I perform by integrating OCR Space with OpenAI Responses?
Integrating OCR Space with OpenAI Responses allows you to perform various tasks, including:
- Extracting text from scanned invoices and summarizing key financial data.
- Analyzing customer feedback from image-based surveys for sentiment.
- Automating data entry from paper forms into digital systems with AI validation.
- Processing images of receipts and generating expense reports automatically.
- Creating searchable archives of documents with AI-generated descriptions.
Can I process multiple documents simultaneously using OCR Space?
Yes, Latenode allows parallel processing of multiple documents. Scale your OCR workflows effortlessly by leveraging Latenode's robust infrastructure.
Are there any limitations to the OCR Space and OpenAI Responses integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large volumes of documents may require a higher-tier OCR Space subscription.
- OpenAI Responses' token limits may affect the length of generated summaries.
- Complex document layouts can sometimes impact OCR accuracy.