Maintain platform safety and enforce community guidelines with automated website categorization. Filter inappropriate content, protect users from harmful material, and scale moderation operations efficiently.
As user-generated content volumes grow exponentially, manual moderation alone cannot keep pace. Automated categorization provides a scalable foundation for content moderation workflows. Our research on restricted content prevalence quantifies the challenge.
Detect and filter pornographic material, explicit content, and adult services that violate platform community guidelines.
Identify graphic violence, hate speech, extremist material, and terrorism content for immediate action.
Flag gambling sites and betting content restricted on many platforms, especially those serving younger audiences.
Detect content promoting drug sales, illegal weapons, counterfeit goods, and other prohibited activities.
Block links to malware distribution sites, phishing pages, and other dangerous destinations before users are exposed.
Identify disinformation sites, conspiracy content, and deliberately misleading material that erodes platform trust.
The IAB Content Taxonomy provides standardized definitions ensuring consistent classification across content types and platforms.
Screen external URLs in real-time and enforce platform policies consistently across millions of posts.
User-generated content often includes links to harmful external sites. When users share URLs, the API instantly classifies destinations to determine policy violations. Links to adult content, malware, or phishing pages are automatically blocked. Companies in our high-traffic database rely on this real-time filtering.
Objective classification supports consistent enforcement regardless of which moderator reviews content. Different platforms configure custom policies matching their audience — a professional network may permit alcohol discussion that a children's platform restricts.
Platforms implementing automated content categorization report 70-90% reductions in user exposure to harmful content and 50-60% improvements in moderation team efficiency. Learn more about content filtering implementation best practices.
Content moderation extends to advertiser requirements. Classify pages before serving ads to ensure brand safety standards are met.
Publishers and advertising platforms classify pages before serving ads, ensuring advertiser brand safety requirements are met. This connects content moderation with the advertising technology ecosystem where brand safety is critical.
Our brand safety solutions enable real-time page categorization informing bidding algorithms, preventing ads from appearing on pages with controversial or inappropriate content while maximizing publisher inventory value.
Identify adult content, violence, hate speech, gambling, and 30+ other sensitive categories that violate typical platform policies.
Process URLs in under 50 milliseconds, enabling real-time content screening as users post, share links, or navigate externally.
Configure category-based policies matching your platform's community guidelines, audience requirements, and regulatory obligations.
Track classification patterns, policy violation trends, and moderation efficiency metrics to optimize your safety operations.
Meet regulatory obligations while maximizing the efficiency of your human moderation team.
URLs are classified in real-time against 30+ sensitive categories with confidence scores.
High-confidence violations are automatically actioned per your platform's configured policies.
Edge cases and lower-confidence detections are routed to human moderators for contextual review.
Moderation analytics track patterns and efficiency, enabling ongoing optimization of policies and thresholds.
Protect your platform and users with automated content classification that scales to millions of URLs.
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