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

OpenAI Vision
⚙
Userback
Authenticate Userback
Now, click the Userback node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Userback settings. Authentication allows you to use Userback through Latenode.
Configure the OpenAI Vision and Userback 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 Userback 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
⚙
Userback
Trigger on Webhook
⚙
OpenAI Vision
⚙
⚙
Iterator
⚙
Webhook response
Save and Activate the Scenario
After configuring OpenAI Vision, Userback, 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 Userback integration works as expected. Depending on your setup, data should flow between OpenAI Vision and Userback (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 Userback
Userback + OpenAI Vision + Slack: When new feedback is created in Userback, the attached screenshot is analyzed by OpenAI Vision. If a UI bug is detected, a message is sent to a designated Slack channel alerting the development team.
Userback + OpenAI Vision + Jira: When new feedback is created in Userback, if the attached image analyzed by OpenAI Vision indicates a potential bug, a new issue is automatically created in Jira.
OpenAI Vision and Userback 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.
Similar apps
Related categories
About Userback
Use Userback in Latenode to automate feedback loops. Collect user feedback, then trigger actions based on sentiment or keywords. Route bug reports, feature requests, and support queries directly into your workflows. Close the loop faster and with greater accuracy than standalone solutions.
Related categories
See how Latenode works
FAQ OpenAI Vision and Userback
How can I connect my OpenAI Vision account to Userback using Latenode?
To connect your OpenAI Vision account to Userback 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 Userback accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I analyze user feedback screenshots with AI?
Yes, you can! With Latenode, automatically send Userback screenshots to OpenAI Vision for analysis, identify key issues, and then update Userback with AI-powered insights, boosting feedback processing efficiency.
What types of tasks can I perform by integrating OpenAI Vision with Userback?
Integrating OpenAI Vision with Userback allows you to perform various tasks, including:
- Automatically tagging feedback based on image content analysis.
- Prioritizing bug reports using AI-assessed severity from screenshots.
- Generating summaries of visual feedback for quicker review.
- Detecting UI inconsistencies across user-submitted images.
- Routing feedback to specific teams based on identified features.
How does Latenode handle OpenAI Vision API key management?
Latenode securely stores your OpenAI Vision API keys and allows you to manage them centrally, ensuring safe and compliant access across all your workflows.
Are there any limitations to the OpenAI Vision and Userback integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Rate limits imposed by OpenAI Vision API may affect processing speed.
- Accuracy of image analysis depends on the quality of the input images.
- Complex workflows require understanding of both platforms' capabilities.