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

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Authenticate QuestionPro
Now, click the QuestionPro node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your QuestionPro settings. Authentication allows you to use QuestionPro through Latenode.
Configure the OpenAI Vision and QuestionPro 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 QuestionPro 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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QuestionPro
Trigger on Webhook
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Webhook response
Save and Activate the Scenario
After configuring OpenAI Vision, QuestionPro, 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 QuestionPro integration works as expected. Depending on your setup, data should flow between OpenAI Vision and QuestionPro (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 QuestionPro
QuestionPro + Slack + Google Sheets: When a new answer is submitted in QuestionPro, relevant information is extracted, a message is sent to a Slack channel, and the details are logged in a Google Sheet for record-keeping.
QuestionPro + Google Sheets + Slack: When a new answer is submitted to QuestionPro, the data is added as a new row in Google Sheets. If certain criteria are met (defined in Google Sheets), a notification is sent to a Slack channel.
OpenAI Vision and QuestionPro 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 QuestionPro
Automate survey workflows with QuestionPro in Latenode. Collect data, analyze results, and trigger actions based on responses. Pipe survey data into other apps (CRM, spreadsheets) for real-time updates. Use Latenode's logic and integrations to tailor workflows to specific business needs, bypassing manual data transfer and analysis. Scale your surveys effortlessly.
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See how Latenode works
FAQ OpenAI Vision and QuestionPro
How can I connect my OpenAI Vision account to QuestionPro using Latenode?
To connect your OpenAI Vision account to QuestionPro 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 QuestionPro accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I analyze survey images using AI via this integration?
Yes! Use Latenode to send QuestionPro survey image uploads to OpenAI Vision for analysis. Extract insights and automate actions based on the visual data, enhancing survey value.
What types of tasks can I perform by integrating OpenAI Vision with QuestionPro?
Integrating OpenAI Vision with QuestionPro allows you to perform various tasks, including:
- Automatically categorizing survey responses based on uploaded images.
- Extracting text from images submitted within QuestionPro surveys.
- Identifying objects or scenes in survey images for deeper analysis.
- Flagging inappropriate or irrelevant images submitted to surveys.
- Generating automated reports summarizing image-based survey insights.
How does Latenode handle OpenAI Vision API key security?
Latenode securely stores your OpenAI Vision API keys using encryption and provides access controls. Manage keys centrally and protect sensitive information effectively.
Are there any limitations to the OpenAI Vision and QuestionPro integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large image files may impact workflow execution speed.
- OpenAI Vision API usage is subject to its own rate limits.
- Custom JavaScript code may be required for advanced data transformation.