Analyze images to identify tags, ratings, and characters
Filter images for adult content
Classify images based on text queries
Identify inappropriate images in your uploads
Find explicit or adult content in images
Detect objects in an uploaded image
Detect objects in images
Detect AI watermark in images
Detect objects in images using 🤗 Transformers.js
Detect inappropriate images
AI Generated Image & Deepfake Detector
Human Gender Age Detector
Detect objects in images from URLs or uploads
WaifuDiffusion Tagger is an AI-powered tool designed to analyze images and identify relevant tags, ratings, and characters. It specializes in detecting harmful or offensive content, making it a valuable resource for content moderation and organization. The tool leverages advanced algorithms to ensure accurate and efficient analysis, helping users maintain a safe and organized media environment.
• Tag Identification: Automatically identifies and suggests relevant tags for images, improving organization and searchability.
• Rating Assignment: Assigns content ratings to images, helping users filter or block inappropriate material.
• Character Recognition: Detects and labels characters within images, enhancing cataloging and retrieval processes.
• Accuracy: Utilizes cutting-edge AI models to ensure high precision in analysis and tagging.
• Customization: Allows users to define custom tags and rules tailored to their specific needs.
• Support for Multiple Formats: Works with various image formats, ensuring compatibility across different platforms.
• Integration Capabilities: Can be integrated into existing workflows or platforms for seamless operation.
What image formats does WaifuDiffusion Tagger support?
WaifuDiffusion Tagger supports a wide range of image formats, including PNG, JPG, JPEG, WEBP, and BMP.
Can I customize the tags or ratings?
Yes, users can define custom tags and rules to suit their specific requirements, allowing for greater flexibility in content moderation.
What if the tool incorrectly flags an image?
If the tool incorrectly flags an image, users can manually override the results or adjust the custom rules to improve accuracy in future analyses.