Latenode
OpenAI Vision

Automatically store original images & AI vision analysis results

This Latenode automation allows users to upload an image, analyze it using OpenAI's computer vision model, and then store the original image data alongside the analysis results for future use by an AI agent.

The workflow starts with a Form Trigger that collects the image file, sends it to the OpenAI Vision API for analysis, and then merges the original binary data with the analysis output. This ensures that downstream nodes, such as an AI Agent, can access both the original image and the initial analysis, enabling further processing and utilization of the data.

Updated Apr 29, 2026Est. run: 48sEst. cost: $0.003
How Latenode estimates time and cost

Latenode bills workflow runs in credits: 1 credit = 30 seconds of processing. Minimum charge per run depends on your plan. Plug-and-Play (PnP) AI nodes are billed separately—each PnP token is $1 USD, charged pay-as-you-go at vendor cost plus a small processing fee, with no API keys required.

Full pricing — how credits work →
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Workflow preview

What this template does

  • Uploads image files from a Form Trigger
  • Sends image binary data to OpenAI Vision API
  • Stores original image data and analysis results in a database
  • Enables downstream AI agents to access original images and analyses
  • Provides image metadata and descriptions for future processing

How it works

1
Trigger

Upload Image

The user uploads an image file, which triggers the workflow.

2
Action

Analyze Image

The uploaded image is sent to the OpenAI Vision API for analysis. The API generates descriptions and tags for the image.

3
Action

Merge Data

The original image binary data is combined with the analysis results from the OpenAI Vision API.

4
AI

Process in AI Agent

The combined image data and analysis results are passed to an AI agent for further processing and utilization.

Setup guide

1

Add OpenAI API credential

Add your OpenAI API key in the Latenode Credentials panel. This will allow the workflow to authenticate with the OpenAI Vision API.

2

Configure Form Trigger

In the Latenode builder, add a Form Trigger node. Set the form field for the image upload to a binary field labeled 'data'.

3

Analyze image with OpenAI Vision

Add an OpenAI Vision node to the workflow. Configure it to use the OpenAI credential added in the first step and send the base64-encoded 'data' field from the Form Trigger as input.

4

Merge original image and analysis

Add a Merge node to the workflow. Configure it to combine the 'data' field (original image) and the 'content' field (analysis results) from the previous steps, so the downstream nodes have access to both.

5

Process merged data in AI Agent

Add an AI Agent node to the workflow. This node will receive the merged data (original image and analysis) and can use it for further processing or storage.

Requirements

Create an OpenAI API key with access to the Vision API
Configure a database or storage service to store the original image data and analysis results
Ensure the Latenode workspace has the necessary permissions and integrations to access the OpenAI Vision API and the configured storage service
Set up a Latenode Form Trigger node to collect the image file from users

FAQ

Common questions about this template

Each run uses credits on your Latenode plan. We charge for processing time (1 credit = 30 seconds). Your actual cost depends on your plan and how long the run takes. See pricing plans for plans and how credits work.
Contact support →

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