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

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


Cloudinary

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


Cloudinary
⚙
OpenAI Responses

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

Cloudinary
⚙
⚙
Iterator
⚙
Webhook response

Save and Activate the Scenario
After configuring Cloudinary, OpenAI Responses, 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 Cloudinary and OpenAI Responses integration works as expected. Depending on your setup, data should flow between Cloudinary and OpenAI Responses (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Cloudinary and OpenAI Responses
Cloudinary + OpenAI Responses + Google Drive: When a new image is uploaded to Cloudinary, use OpenAI to generate a description, and then save both the image and the description to a Google Drive folder.
Cloudinary + OpenAI Responses + Slack: When a new image is uploaded to Cloudinary, use OpenAI to generate a description of the image and then send the description to a designated Slack channel for review.
Cloudinary and OpenAI Responses integration alternatives

About Cloudinary
Automate image and video optimization with Cloudinary in Latenode. Resize, convert, and deliver media assets based on triggers or data from any app. Streamline content workflows by integrating Cloudinary’s powerful transformations directly into your automated processes, reducing manual work. Scale efficiently and pay only for execution time.
Similar apps
Related categories
About OpenAI Responses
Need AI-powered text generation? Use OpenAI Responses in Latenode to automate content creation, sentiment analysis, and data enrichment directly within your workflows. Streamline tasks like generating product descriptions or classifying customer feedback. Latenode lets you chain AI tasks with other services, adding logic and routing based on results – all without code.
Similar apps
Related categories
See how Latenode works
FAQ Cloudinary and OpenAI Responses
How can I connect my Cloudinary account to OpenAI Responses using Latenode?
To connect your Cloudinary account to OpenAI Responses on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Cloudinary and click on "Connect".
- Authenticate your Cloudinary and OpenAI Responses accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically tag images with AI-generated descriptions?
Yes, you can! Latenode lets you use OpenAI Responses to analyze Cloudinary images and automatically update metadata. Improve organization & searchability with AI-powered automation.
What types of tasks can I perform by integrating Cloudinary with OpenAI Responses?
Integrating Cloudinary with OpenAI Responses allows you to perform various tasks, including:
- Generate image descriptions for improved SEO.
- Automatically categorize images based on AI analysis.
- Moderate content using AI to identify inappropriate images.
- Create personalized image recommendations using AI insights.
- Enhance user experience with AI-driven image optimization.
Can Latenode scale my Cloudinary image processing workflows easily?
Yes! Latenode's architecture lets you scale your Cloudinary workflows, handling increased image volume without coding or server management.
Are there any limitations to the Cloudinary and OpenAI Responses integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Rate limits from Cloudinary and OpenAI Responses still apply.
- Complex image analysis can consume a significant number of OpenAI tokens.
- Workflow execution time depends on image size and AI processing load.