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n8n-nodes-image-edit-tools

v0.1.3

Published

n8n community node for image-edit-tools — crop, resize, watermark, OCR, face detection, background removal, and more

Readme

n8n-nodes-image-edit-tools

This is an n8n community node that exposes the powerful deterministic image editing capabilities of image-edit-tools directly within n8n workflows.

Features

This package provides two nodes:

  1. Image Edit Tools: A visual Operation node mimicking typical n8n behavior with a dropdown to select from 15 high-performance image editing operations.
  2. Image Edit Tools (AI Tool): An AI Agent Tool node designed for n8n's LangChain integration. Connect this node to your AI agent and it will dynamically invoke operations via Tool Calling.

Supported Operations

  • Resize
  • Crop (Absolute, Aspect, Percentage, Subject AI)
  • Pad
  • Rotate
  • Filter (Grayscale, Vintage, Blur, Sepia, etc.)
  • Convert Format (WebP, AVIF, JPEG, PNG)
  • Watermark (Text or Image layer)
  • Composite (Layer images with blending modes)
  • Adjust (Brightness, Contrast, Saturation, Hue, Temp, Sharpness)
  • Add Text (Overlay text layers natively)
  • Blur Region (Pixelate/Blur specific coordinates)
  • Detect Faces (AI bounding boxes)
  • Extract Text (OCR via Tesseract.js)
  • Remove Background (AI background removal)
  • Pipeline (Chain multiple operations sequentially in memory for max performance)

Installation

Local / Docker Compose

You can mount this directly into your n8n docker container before it is published:

services:
  n8n:
    image: n8nio/n8n:latest
    environment:
      - N8N_CUSTOM_EXTENSIONS=/custom-nodes
    volumes:
      - ./n8n-nodes-image-edit-tools/dist:/custom-nodes/n8n-nodes-image-edit-tools/dist
      - ./n8n-nodes-image-edit-tools/package.json:/custom-nodes/n8n-nodes-image-edit-tools/package.json

Community Nodes (Once published)

Go to Settings > Community Nodes > Install and type n8n-nodes-image-edit-tools.

Usage

Output Formats

By default, operations return a Base64 Data URI standard format in the data JSON field (e.g., data:image/png;base64,iVBORw0KGgo...). This is ideal for passing to Vision AI models or the next nodes. If you need raw bytes to save via n8n's local file nodes, change Output Format to Binary Data.

LLM Agent Support (AI Tool)

Simply connect the Image Edit Tools (AI Tool) output to the Tools input of an AI Agent in n8n. The agent will read the comprehensive descriptions for all 15 tools and autonomously decide which to invoke (e.g., "Blur the face in the image" → AI calls detect_faces then blur_region).

License

MIT License