Package Information
Downloads: 20 weekly / 31 monthly
Latest Version: 0.1.5
Author: plemeo
Available Nodes
Documentation
n8n-nodes-plemeo-analyze-image
This is an n8n community node that allows you to analyze images using Plemeo AI's image analysis capabilities.
n8n is a fair-code licensed workflow automation platform.
Installation
Follow these instructions to install this node:
Community Nodes (Recommended)
For users on n8n v0.187+:
- Go to Settings > Community Nodes
- Select Install
- Enter
n8n-nodes-plemeo-analyze-imagein "Enter npm package name" - Agree to the risks
- Select Install
Manual Installation
To install the node manually:
# npm
npm install n8n-nodes-plemeo-analyze-image
# OR yarn
yarn add n8n-nodes-plemeo-analyze-image
Usage
After installing the node, it will appear in the nodes panel under "Plemeo". The node requires the following:
- API Hostname - The hostname of your Plemeo AI server
- API Port - The port for the API endpoint
- API Path - The endpoint path (default: /analyze_image)
- API Key - Your API key for authentication
- Message - The prompt/message for image analysis (default: "What does this image show?")
- Images - One or more images to analyze
The node supports multiple image inputs and handles base64-encoded image data.
Working with Base64 Image Data
When providing image data to this node, please keep these important points in mind:
- The node expects raw base64 strings without any encoding or manipulation.
- If your base64 string includes a data URL prefix (e.g.,
data:image/jpeg;base64,), the node will automatically extract just the base64 part. - Make sure your base64 strings contain only valid base64 characters (
A-Z,a-z,0-9,+,/, and=). - Valid base64-encoded image data typically starts with specific prefixes:
- PNG images:
iVBOR... - JPEG images:
/9j/... - GIF images:
R0lGOD...
- PNG images:
- Do not apply any additional encoding or transformations to the base64 strings.
Example of properly formatted base64 image data:
iVBORw0KGgoAAAANSUhEUgAAA...
Output
The node returns a response with the following structure:
{
"status": "success",
"analysis": "Detailed analysis of the image...",
"conversation_id": "unique-conversation-id"
}