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 Faces
AI-generatedOverview
The node provides a face detection utility under the AI resource. It analyzes an image from a given URL and detects faces within that image. This is useful in scenarios such as automating photo tagging, security monitoring, or any application requiring facial recognition or analysis.
For example, you can input the URL of a group photo, and the node will return data about detected faces, which can then be used to trigger further workflows like sending notifications or organizing images by people.
Properties
| Name | Meaning |
|---|---|
| Image URL | The URL of the image to analyze for face detection. Example: https://example.com/image.jpg |
Output
The node outputs JSON data containing the results of the face detection process. This typically includes details about each detected face, such as position coordinates, size, and possibly confidence scores or other metadata depending on the underlying API response.
If the node supports binary data output (not explicitly shown here), it would likely represent processed images or face thumbnails, but based on the provided code and properties, the primary output is structured JSON describing detected faces.
Dependencies
- Requires an API key credential for authentication with the external 0CodeKit service.
- The node sends a POST request to the
/ai/detectfaceendpoint of the 0CodeKit API. - The base URL for requests is
https://prod.0codekit.com. - Proper network access to this API endpoint is necessary.
Troubleshooting
Common issues:
- Invalid or inaccessible image URL: Ensure the 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.
- Network connectivity problems: Confirm that your environment can reach the 0CodeKit API endpoint.
Error messages:
- Errors related to missing or invalid
imageUrlparameter indicate that the input property was not set or incorrectly formatted. - API response errors may include rate limiting or quota exceeded messages; check your API usage limits.
- Unexpected response formats might occur if the API changes; ensure you are using a compatible version.
- Errors related to missing or invalid
Links and References
- 0CodeKit API Documentation (general reference, actual docs URL not provided)
- Face detection concepts: https://en.wikipedia.org/wiki/Face_detection