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

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

Delighted
Configure the Delighted
Click on the Delighted node to configure it. You can modify the Delighted URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the OpenAI Vision Node
Next, click the plus (+) icon on the Delighted node, select OpenAI Vision from the list of available apps, and choose the action you need from the list of nodes within OpenAI Vision.

Delighted
⚙
OpenAI Vision
Authenticate OpenAI Vision
Now, click the OpenAI Vision node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your OpenAI Vision settings. Authentication allows you to use OpenAI Vision through Latenode.
Configure the Delighted and OpenAI Vision 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 Delighted and OpenAI Vision 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.

JavaScript
⚙
AI Anthropic Claude 3
⚙
OpenAI Vision
Trigger on Webhook
⚙
Delighted
⚙
⚙
Iterator
⚙
Webhook response
Save and Activate the Scenario
After configuring Delighted, OpenAI Vision, 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 Delighted and OpenAI Vision integration works as expected. Depending on your setup, data should flow between Delighted and OpenAI Vision (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Delighted and OpenAI Vision
Delighted + Slack: When a new response is received in Delighted, post the response details to a designated Slack channel for immediate feedback review.
Delighted + Zendesk: When a new ticket is created in Zendesk, find the related person in Delighted and add the Zendesk ticket details as a comment to the Delighted person's record.
Delighted and OpenAI Vision integration alternatives
About Delighted
Automate feedback loops with Delighted in Latenode. Send surveys post-interaction and instantly act on results. Route scores to your team's Slack, update records in your CRM, or trigger follow-ups based on sentiment. Build adaptable workflows with no-code tools, custom logic, and AI — all without per-step costs.
Related categories
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.
Similar apps
Related categories
See how Latenode works
FAQ Delighted and OpenAI Vision
How can I connect my Delighted account to OpenAI Vision using Latenode?
To connect your Delighted account to OpenAI Vision on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Delighted and click on "Connect".
- Authenticate your Delighted and OpenAI Vision accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I analyze feedback screenshots using Delighted and OpenAI Vision?
Yes, you can! Latenode lets you automatically process uploaded images from Delighted surveys via OpenAI Vision, extracting insights and improving response analysis.
What types of tasks can I perform by integrating Delighted with OpenAI Vision?
Integrating Delighted with OpenAI Vision allows you to perform various tasks, including:
- Analyze sentiment from images attached to Delighted survey responses.
- Automatically categorize visual feedback received via Delighted.
- Extract text from screenshots provided in Delighted surveys.
- Flag inappropriate or irrelevant images submitted with Delighted feedback.
- Enhance Delighted survey data with AI-driven image analysis results.
How does Latenode enhance Delighted's feedback analysis capabilities?
Latenode adds AI-powered image recognition to Delighted feedback, identifying patterns that manual analysis might miss for deeper customer understanding.
Are there any limitations to the Delighted and OpenAI Vision integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Rate limits for OpenAI Vision calls may impact high-volume image processing.
- The accuracy of image analysis depends on the quality of the uploaded images.
- Custom model training for specialized image analysis requires advanced setup.