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

OpenAI Vision
âš™

NetHunt

Authenticate NetHunt
Now, click the NetHunt node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your NetHunt settings. Authentication allows you to use NetHunt through Latenode.
Configure the OpenAI Vision and NetHunt 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 NetHunt 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
âš™
AI Anthropic Claude 3
âš™

NetHunt
Trigger on Webhook
âš™
OpenAI Vision
âš™
âš™
Iterator
âš™
Webhook response

Save and Activate the Scenario
After configuring OpenAI Vision, NetHunt, 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 NetHunt integration works as expected. Depending on your setup, data should flow between OpenAI Vision and NetHunt (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 NetHunt
NetHunt + Slack: When a new or updated record is added to NetHunt, send a message to a Slack channel to notify the team for review. This helps keep the team informed about changes in NetHunt records.
NetHunt + Google Sheets: When a new or updated record is created in NetHunt, log the record details to a Google Sheet for reporting and tracking purposes. This facilitates data analysis and reporting based on NetHunt record data.
OpenAI Vision and NetHunt 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 NetHunt
Sync NetHunt CRM with Latenode to automate sales processes. Update deals, create tasks, or send personalized emails based on triggers. Latenode’s visual editor and flexible tools mean no-code data routing and AI-powered lead qualification — build scalable sales flows without complex scripts.
Similar apps
Related categories
See how Latenode works
FAQ OpenAI Vision and NetHunt
How can I connect my OpenAI Vision account to NetHunt using Latenode?
To connect your OpenAI Vision account to NetHunt 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 NetHunt accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically update contacts from analyzed images?
Yes, you can! Latenode’s visual editor simplifies data mapping, letting you automatically update NetHunt contacts with information extracted from images analyzed by OpenAI Vision. Save time and enrich your CRM data!
What types of tasks can I perform by integrating OpenAI Vision with NetHunt?
Integrating OpenAI Vision with NetHunt allows you to perform various tasks, including:
- Extracting text from images and saving it as notes in NetHunt contacts.
- Categorizing leads in NetHunt based on image content analyzed by OpenAI Vision.
- Automatically updating contact information in NetHunt using data from scanned documents.
- Identifying products in images and associating them with relevant NetHunt deals.
- Flagging inappropriate content in uploaded images and alerting NetHunt users.
How does Latenode handle OpenAI Vision's image analysis results?
Latenode parses image analysis results with no-code blocks, JavaScript, or prompt-based AI, enabling dynamic updates to your NetHunt CRM.
Are there any limitations to the OpenAI Vision and NetHunt integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Rate limits imposed by OpenAI Vision and NetHunt APIs may affect workflow execution speed.
- Complex image analysis workflows may consume more Latenode resources.
- Custom field types in NetHunt may require specific data transformations within Latenode.