How to connect OCR Space and AI: Stability
Create a New Scenario to Connect OCR Space and AI: Stability
In the workspace, click the โCreate New Scenarioโ button.

Add the First Step
Add the first node โ 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 AI: Stability will be your first step. To do this, click "Choose an app," find OCR Space or AI: Stability, 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 AI: Stability Node
Next, click the plus (+) icon on the OCR Space node, select AI: Stability from the list of available apps, and choose the action you need from the list of nodes within AI: Stability.

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Authenticate AI: Stability
Now, click the AI: Stability node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your AI: Stability settings. Authentication allows you to use AI: Stability through Latenode.
Configure the OCR Space and AI: Stability 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 AI: Stability 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 donโt 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, AI: Stability, and any additional nodes, donโt 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 โRun onceโ and triggering an event to check if the OCR Space and AI: Stability integration works as expected. Depending on your setup, data should flow between OCR Space and AI: Stability (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 AI: Stability
OCR Space + AI: Stability + Google Drive: When a new file is added to Google Drive, OCR Space extracts the text from the file. Then, AI Stability creates an image based on the extracted text using Stable Diffusion. Finally, both the original file and the created image are saved in a specified Google Drive folder.
Slack + OCR Space + AI: Stability: When a new file is added to a Slack channel, OCR Space extracts the text from the file. AI Stability then uses this text to generate an image via Stable Diffusion and sends a message to a Slack channel containing this new image.
OCR Space and AI: Stability 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 AI: Stability
Generate images via AI: Stability directly within Latenode automation flows. Streamline content creation, personalize marketing visuals, or automate design tasks. Latenode gives you control over prompt-based AI generation, plus direct connections to your other apps โ no coding needed, just visual automation.
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See how Latenode works
FAQ OCR Space and AI: Stability
How can I connect my OCR Space account to AI: Stability using Latenode?
To connect your OCR Space account to AI: Stability 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 AI: Stability accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically generate images from scanned documents?
Yes, you can! Use OCR Space to extract text, then pass it to AI: Stability in Latenode. This unlocks automated content creation based on document analysis, improved by visual workflows and custom logic.
What types of tasks can I perform by integrating OCR Space with AI: Stability?
Integrating OCR Space with AI: Stability allows you to perform various tasks, including:
- Generate images based on text extracted from scanned invoices.
- Create marketing visuals from text found in uploaded PDFs.
- Automate image variations from text within legal contracts.
- Produce social media content using document text as prompts.
- Generate unique AI art from extracted text in research papers.
What OCR Space features can I use within Latenode?
Latenode supports OCR Space's core text extraction, language selection, and pre-processing functions, enabling automation and customizable image handling within workflows.
Are there any limitations to the OCR Space and AI: Stability integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Free OCR Space accounts have usage limits that may affect automation volume.
- AI: Stability image generation speed depends on server load and complexity.
- Advanced document layouts might require custom JavaScript pre-processing.