Actions108
- AI Actions
- Transcribe
- Detect Brand
- Extract Contact Information
- Mood Detection
- Detect Adult Content
- Enitity Detection
- Language Detection
- Too Long To Read
- Check Content Policy
- Detect Faces
- Generate Python Code
- Picture Text Recognition
- Detect Color
- Generate Image
- PDF OCR
- Translation
- Detect Email Type
- Generate Javascript Code
- Picture Object Recognition
- Business Actions
- Calculate Actions
- Code Actions
- Convert Actions
- Crypto Actions
- Date & Time Actions
- Generate Actions
- Image Actions
- Operator Actions
- PDF Actions
- Storage Actions
- Text Actions
- User Actions
Overview
The node "0CodeKit" provides a versatile toolbox of no-code utilities across multiple domains, including AI, business, calculation, code execution, conversion, cryptography, date & time, image processing, PDF manipulation, storage, text operations, and user-related functions. Specifically, for the AI - Detect Brand operation, the node analyzes an image provided via URL to detect brand logos or related brand information within that image.
This node is beneficial in scenarios such as:
- Automatically identifying brands present in marketing images.
- Monitoring social media images for brand presence.
- Enhancing digital asset management by tagging images with detected brands.
Example use case: Given an image URL containing a product photo, the node detects and returns the brand(s) visible in the image.
Properties
| Name | Meaning |
|---|---|
| Image URL | URL of the image you want to analyze for brand detection. |
| Code Variables | Optional collection of code variables defined in the code editor, allowing dynamic input values. |
Note: The "Code Variables" property allows users to pass additional named variables (defined elsewhere in the node's code editor environment) to customize or parameterize the operation.
Output
The node outputs JSON data representing the results of the brand detection analysis on the provided image. The exact structure depends on the external service response but typically includes details about detected brands such as brand names, confidence scores, bounding boxes, or other metadata describing the brand presence in the image.
If the node supports binary output (not explicitly shown for this operation), it would represent image data or processed files; however, for brand detection, the primary output is structured JSON data.
Dependencies
- Requires an API key credential for authentication with the underlying 0CodeKit service.
- Relies on the external 0CodeKit API endpoints corresponding to the AI resource and detectBrand operation.
- Network access to fetch and analyze the image from the provided URL.
Troubleshooting
- Invalid or unreachable Image URL: Ensure the URL is publicly accessible and points directly to an image file.
- API authentication errors: Verify that the API key credential is correctly configured and has necessary permissions.
- Empty or unexpected results: Confirm the image contains recognizable brand logos and is of sufficient quality.
- Node execution errors: If the node throws errors, check the error message for details. Common issues include malformed input parameters or network connectivity problems.
- Code Variables misconfiguration: When using code variables, ensure variable names match those defined in the code editor and values are properly set.
Links and References
- n8n Expressions Documentation — for understanding how to use expressions in properties like Code Variables.
- 0CodeKit official API documentation (not provided here) — for detailed info on AI brand detection endpoint and response format.