Copyleaks Unveils Text Moderation: Transforming Content Oversight with Contextual AI

Copyleaks, a global leader in AI-powered content analysis, announced the launch of Text Moderation, a next-generation solution designed to help trust and safety teams safeguard digital platforms with greater precision. Unlike traditional keyword-only moderation tools, Copyleaks’ new offering leverages contextual AI to identify harmful or inappropriate content with higher accuracy, dramatically reducing false positives while strengthening digital trust and integrity.

In a digital ecosystem where language evolves rapidly, effective content moderation depends on understanding intent-not just scanning for keywords. Copyleaks’ Text Moderation evaluates the context in which language is used, ensuring that flagged content aligns with platform policies and community standards. The solution caters to diverse use cases, from publishers and advertisers vetting user submissions, to online communities ensuring respectful interactions, and even HR teams screening candidate materials with AI-powered precision.

“Effective content moderation isn’t just about spotting individual words; it’s about understanding the intent and context behind them,” said Alon Yamin, CEO and co-founder of Copyleaks. “Our customers have consistently faced challenges with tools that generate high false positive rates due to their reliance on keyword-only systems. Text Moderation addresses this critical need by providing a nuanced, context-aware solution that helps teams maintain safe digital spaces without over-policing legitimate user interactions.”

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Key Capabilities of Copyleaks Text Moderation:

• Context-Aware Flagging – Goes beyond keywords by assessing full context, minimizing false positives.
• Robust Tagging System – Labels flagged content with clear categories such as sexual, toxic, violence, profanity, harassment, hate speech, self-harm, drug use, firearms, cybersecurity, and more.
• Customizable Filters – Flexible moderation options tailored to each platform’s unique policies and risk levels.
• Cultural & Regional Awareness – Detects slang, idioms, and tone across English dialects for more accurate oversight.
• In-Context Highlighting – Pinpoints problematic content and provides scenario-specific explanations for every moderation decision.

Who Can Benefit?

Copyleaks Text Moderation supports a broad spectrum of users, including:

• Trust and safety teams ensuring platform compliance
• Publishers, advertisers, and media platforms
• Social media and UGC application moderators
• Review and feedback platforms
• Online community managers and forum moderators
• Teams curating training datasets for Large Language Models (LLMs)

For organizations already using Copyleaks’ AI Detector, Text Moderation provides an added layer of confidence by identifying instances where AI-generated content may unintentionally embed harmful or sensitive patterns.

With this launch, Copyleaks further strengthens its mission to deliver responsible, context-aware AI solutions that protect digital ecosystems while empowering organizations to create safer, more engaging online experiences.