OpenAI Vision and Vapi Integration

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Automate visual IVRs: Use OpenAI Vision to analyze images sent via Vapi, then route calls based on content. Latenode's no-code editor simplifies complex call flows, while execution-based pricing ensures cost-effective scaling.

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OpenAI Vision

Vapi

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect OpenAI Vision and Vapi

Create a New Scenario to Connect OpenAI Vision and Vapi

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 Vapi will be your first step. To do this, click "Choose an app," find OpenAI Vision or Vapi, 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.

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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.

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Connect OpenAI Vision

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Run node once

Add the Vapi Node

Next, click the plus (+) icon on the OpenAI Vision node, select Vapi from the list of available apps, and choose the action you need from the list of nodes within Vapi.

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Authenticate Vapi

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

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Configure the OpenAI Vision and Vapi Nodes

Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.

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Run node once

Set Up the OpenAI Vision and Vapi 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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Save and Activate the Scenario

After configuring OpenAI Vision, Vapi, 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 Vapi integration works as expected. Depending on your setup, data should flow between OpenAI Vision and Vapi (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 Vapi

Vapi + OpenAI Vision + Pipedrive: When a customer calls via Vapi, analyze images they send of the damaged product using OpenAI Vision. Based on the image analysis, create an activity in Pipedrive to follow up on the issue and resolve it.

Vapi + OpenAI Vision + Zendesk: When a customer calls about a product via Vapi, analyze images they send of the damaged product using OpenAI Vision. Automatically create a Zendesk ticket with details extracted from the image analysis.

OpenAI Vision and Vapi 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.

About Vapi

Use Vapi in Latenode to validate and standardize address data. Ensure accurate deliveries and prevent errors by cleaning addresses directly within your workflows. Vapi integration inside Latenode makes data cleaning repeatable and scalable without extra coding. Automate address verification as part of lead gen, order processing, or CRM upkeep.

See how Latenode works

FAQ OpenAI Vision and Vapi

How can I connect my OpenAI Vision account to Vapi using Latenode?

To connect your OpenAI Vision account to Vapi 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 Vapi accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I automatically call leads identified in images?

Yes, you can! Latenode’s visual editor simplifies building this workflow. Automatically extract lead data from images using OpenAI Vision and then initiate Vapi calls. Scale your outreach effortlessly!

What types of tasks can I perform by integrating OpenAI Vision with Vapi?

Integrating OpenAI Vision with Vapi allows you to perform various tasks, including:

  • Automatically call users who appear in marketing campaign images.
  • Generate personalized voice messages based on image content.
  • Create targeted outreach to people identified at events.
  • Verify contact details against profile pictures for accuracy.
  • Trigger call campaigns based on competitor logo detection.

Can I use custom models with OpenAI Vision on Latenode?

Yes! Latenode supports integrating your fine-tuned OpenAI Vision models using our code blocks. Customize your automations for specific needs.

Are there any limitations to the OpenAI Vision and Vapi integration on Latenode?

While the integration is powerful, there are certain limitations to be aware of:

  • Real-time image analysis may be subject to OpenAI Vision API rate limits.
  • Vapi call costs are separate and depend on your Vapi subscription plan.
  • Complex workflows with extensive image processing may require optimization.

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