Content Filter Tester
Test content against common content moderation filters
Content Passed
No flagged content detected
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What is Content Filtering?
Content filtering screens text for potentially harmful, offensive, or policy-violating material before displaying to users. For AI applications, this is a critical safety layer—LLMs can generate inappropriate content that must be caught before reaching end users.
This tool tests text against common moderation categories to simulate how content filters work. Use it to validate your content policies or test LLM outputs.
Filter Categories
Violence & Hate Speech
Detects violent threats, graphic content, and discriminatory language targeting groups.
Self-Harm & Illegal Activity
Flags content promoting self-harm, suicide, or illegal activities like hacking or drug use.
Best Practices
- Multi-layer approach: Combine keyword filters with ML classifiers for better coverage.
- Context awareness: Simple keyword matching has high false positive rates. Use in conjunction with semantic analysis.
- Regular updates: Language evolves. Update patterns regularly to catch new harmful content.
FAQ
Is keyword filtering enough?
No. Keywords catch explicit content but miss context. Combine with AI classifiers for production systems.