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

Add the OpenAI DALL-E Node
Select the OpenAI DALL-E node from the app selection panel on the right.

OpenAI DALL-E
Configure the OpenAI DALL-E
Click on the OpenAI DALL-E node to configure it. You can modify the OpenAI DALL-E 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 DALL-E 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 DALL-E 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 DALL-E 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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AI Anthropic Claude 3
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OCR Space
Trigger on Webhook
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OpenAI DALL-E
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Save and Activate the Scenario
After configuring OpenAI DALL-E, 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 DALL-E and OCR Space integration works as expected. Depending on your setup, data should flow between OpenAI DALL-E 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 DALL-E and OCR Space
OpenAI DALL-E + OCR Space + Google Drive: When a new image is generated by DALL-E, OCR Space extracts text from the image. The image, along with the extracted text in its file content, is then saved to Google Drive, making it searchable.
OCR Space + OpenAI DALL-E + Slack: When a new file is added to Slack, OCR Space extracts text from the image. This text is then used as a prompt for DALL-E to generate a new image, which is then posted to Slack.
OpenAI DALL-E and OCR Space integration alternatives
About OpenAI DALL-E
Generate images with DALL-E directly within Latenode workflows. Automate content creation, personalize marketing visuals, or generate product mockups on demand. Use visual prompts and code nodes to refine results and connect DALL-E to your data sources and apps. Scale image generation without manual steps and add AI to any process.
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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 DALL-E and OCR Space
How can I connect my OpenAI DALL-E account to OCR Space using Latenode?
To connect your OpenAI DALL-E account to OCR Space on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select OpenAI DALL-E and click on "Connect".
- Authenticate your OpenAI DALL-E and OCR Space accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automate data extraction from DALL-E generated images?
Yes, you can! Latenode simplifies this. Automate data extraction and processing using OCR Space on DALL-E images, leveraging Latenode’s visual editor for streamlined workflow creation.
What types of tasks can I perform by integrating OpenAI DALL-E with OCR Space?
Integrating OpenAI DALL-E with OCR Space allows you to perform various tasks, including:
- Extracting text from DALL-E generated images for automated data entry.
- Creating searchable databases of DALL-E generated images and their content.
- Automating the creation of image-based documents with dynamic text overlays.
- Generating product images with automated descriptions using OCR technology.
- Analyzing visual content generated by DALL-E for text-based insights.
How can I manage OpenAI DALL-E API key securely on Latenode?
Latenode offers secure storage and management of your OpenAI DALL-E API keys using environment variables and encrypted storage, protecting your credentials.
Are there any limitations to the OpenAI DALL-E and OCR Space integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- OCR Space has rate limits based on your subscription plan.
- DALL-E image generation costs are determined by OpenAI's pricing.
- Accuracy of OCR depends on image quality and text complexity.