Detect graphic violence, gore, weapons, and disturbing imagery with AI-powered analysis. Severity classification helps you differentiate between cartoon violence and real-world graphic content.
Try Violence DetectionOur violence detection goes beyond simple binary classification. We categorize different types of violent content and provide severity levels so you can make nuanced moderation decisions appropriate for your platform's audience and policies.
Real-world violence, injuries, and blood
Extreme graphic content and mutilation
Guns, knives, and weapons in threatening contexts
Cutting, suicide imagery, and self-injury
Physical altercations and combat
Shocking or disturbing imagery
Three severity levels (mild, moderate, extreme) help distinguish between cartoon violence and real graphic content.
Understand video game violence and fantasy content differently than real-world violence.
Identify self-harm imagery for intervention and support workflows on mental health platforms.
Detect firearms, knives, and other weapons in threatening or dangerous contexts.
{
"violence": {
"score": 0.15,
"severity": "mild",
"categories": {
"graphic_violence": 0.05,
"gore": 0.01,
"weapons": 0.20,
"self_harm": 0.02,
"fighting": 0.15,
"disturbing": 0.08
},
"context": "gaming",
"is_violent": false
},
"processing_time_ms": 32
}
Our models can identify gaming context and provide separate scores. A screenshot of a shooter game will be classified differently than real violence.
Yes. We can identify weapons in images even without active violence, useful for platforms that restrict weapon imagery entirely.
We provide severity levels and context indicators. News organizations can use this to apply appropriate warnings while still publishing newsworthy content.
Yes. We have specific detection for self-harm imagery, enabling platforms to implement intervention workflows and connect users with support resources.
Comprehensive violence detection with severity classification.
Try Free Demo