SafetyKit's video moderation analyzes uploaded video content to detect policy violations before publication. Our AI processes visual frames, extracts audio for speech analysis, and understands temporal context to catch harmful content that static image analysis would miss.
Key Capabilities
Multi-modal analysis: Combines visual, audio, and text analysis for comprehensive review
Temporal understanding: Detects violations that unfold over time, not just single frames
Timestamp precision: Returns exact timestamps for flagged content for efficient review
Scalable processing: Handle video libraries of any size with consistent quality
Detection Capabilities
Visual content analysis
Audio and speech analysis
On-screen text
Contextual understanding
Brand safety analysis
Temporal context awareness
How It Works
Video Processing Pipeline
Frame Extraction: Intelligent sampling captures key frames while optimizing processing
Audio Extraction: Separate audio tracks for speech-to-text and audio analysis
Multi-Modal Analysis: Parallel processing of visual, audio, and text signals
Temporal Aggregation: Combine frame-level signals into coherent violation detection
Enforcement Decisions: Makes enforcement decisions automatically with timestamps for flagged content, with configurable thresholds for routing edge cases to human review
Use Cases
Video sharing platforms
Social media platforms
E-learning platforms
Enterprise content
Creator platforms
Gaming communities
Performance at Scale
SafetyKit processes video content efficiently, balancing thoroughness with speed to support both real-time and batch moderation workflows.