Audio Moderation
Speech-to-text analysis
Multi-language support
Voice activity detection
Overview
SafetyKit's audio moderation transcribes and analyzes audio content to detect hate speech, threats, and policy violations in voice recordings, podcasts, voice messages, and audio-only content. Our AI understands spoken language across dialects and accents to provide accurate moderation at scale.
Key Capabilities
- Automatic transcription: High-accuracy speech-to-text across 193+ languages
- Content analysis: Policy violation detection on transcribed content
- Voice activity detection: Identify speech segments for processing
Detection Capabilities
Hate speech and slurs
Threats and harassment
Dangerous content
Misinformation
Copyright detection
How It Works
Audio Processing Pipeline
- Audio Ingestion: Accept audio files or stream connections
- Voice Activity Detection: Identify speech segments for processing
- Transcription: Convert speech to text with high accuracy
- Content Analysis: Apply policy detection to transcribed content
- Enforcement Decisions: Makes enforcement decisions automatically with timestamps, with configurable thresholds for routing edge cases to human review
Supported Formats
- Support for most audio formats
- Audio extracted from video files
- Real-time streaming audio
Use Cases
Voice messaging
Podcasts and audio content
Voice social features
Call recording review
Music platforms
Enterprise communications
Performance at Scale
SafetyKit's audio moderation combines speech recognition with purpose-built content analysis to achieve high accuracy across languages and audio quality levels.
Performance
Real-time
Moderation decisions
90%
Reduction in review time
75%
Increase in human reviewer accuracy
Coverage
200+
Policies across 20 regions out of the box
100%
Audit and logging coverage
193+
Languages
Agility
<4 hrs
Deploy new policies
Zero engineering work for platform-specific rules
Audit, report, and investigate in minutes
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