Actions132
- AI Actions
- Extract Text From Document
- Check Content Policy
- Detect Adult Content
- Detect Brand
- Detect Color
- Detect Email Type
- Detect Faces
- Extract Entities
- Extract Contact Information
- Extract Customizable Information From Text
- Fuzzy Text Matcher
- Generate Image
- Generate JavaScript Code
- Generate Python Code
- Detect Language
- Detect Mood
- Extract Text From PDF
- Recognize Objects in Image
- Extract Text From Image
- Redact Sensitive Information From PDF
- Remove Background Image
- Summarize Text
- Transcribe
- Translate Text
- Image Actions
- Business Actions
- Convert Actions
- Generate Actions
- Crypto Actions
- Operator Actions
- Storage Actions
- Scheduler Actions
- Text Actions
- Chart Actions
- Code Actions
- Calculate Actions
- Date and Time Actions
- PDF Actions
- Compress PDF File
- Count PDF Pages
- Create Empty PDF
- Decrypt PDF
- Convert DOCX to PDF
- Draw Image on PDF
- Draw Text on PDF
- Encrypt PDF
- Convert HTML to PDF
- Convert Markdown to PDF
- Manage PDF Metadata
- Merge PDF Files
- Add PDF Pages
- Remove PDF Pages
- Resize PDF Pages
- Rotate PDF Pages
- Convert PDF to Base64
- Convert PDF to Image
- Split PDF File
- Add Image Watermark to PDF
- Add Text Watermark to PDF
- Shortened URL Actions
AI → Detect Color
AI-generatedOverview
The node provides an AI-powered utility to detect the dominant color in an image given its URL. It sends the image URL to a remote service that analyzes the image and returns color information. This node is useful in scenarios such as automated image tagging, color-based filtering, or design workflows where identifying the main color of images is required.
For example, a user could input a product photo URL to automatically extract its primary color for cataloging or marketing purposes.
Properties
| Name | Meaning |
|---|---|
| Image URL | The URL of the image to analyze for color detection. Example: https://example.com/image.jpg |
Output
The node outputs JSON data containing the detected color information from the analyzed image. The exact structure depends on the external API response but typically includes details like color name, hex code, RGB values, or confidence scores.
No binary data output is indicated.
Dependencies
- Requires an API key credential for authentication with the external 0CodeKit AI service.
- The node makes a POST request to the
/ai/detectcolorendpoint of the 0CodeKit API. - The base URL for requests is
https://prod.0codekit.com. - Proper network access to this API endpoint is necessary.
Troubleshooting
- Invalid or unreachable Image URL: Ensure the provided URL is publicly accessible and points directly to an image file.
- Authentication errors: Verify that the API key credential is correctly configured and has permissions to use the AI services.
- API request failures: Check network connectivity and confirm the API endpoint is operational.
- Unexpected response format: If the output JSON does not contain expected color data, verify the image URL and try again.
Links and References
- 0CodeKit API Documentation (assumed base URL; check official docs for details)
- General info on color detection techniques: https://en.wikipedia.org/wiki/Color_detection