OpenAI Moderation
The OpenAI Moderation API provides developers with a dedicated endpoint to automatically evaluate whether text or images contain potentially harmful or policy-violating content, enabling safer AI applications through real-time filtering and classification. It works by analyzing inputs (and optionally outputs) and returning structured results that indicate whether the content is flagged, along with detailed category labels such as hate, harassment, self-harm, sexual content, or violence. It is designed to be integrated directly into application workflows, allowing developers to take immediate action, such as blocking, filtering, or escalating content, before it reaches end users. Moderation models like “omni-moderation-latest” are optimized for speed and accuracy, supporting scalable use across high-volume applications while maintaining consistent safety standards.
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Two Hat
Custom neural network trained to triage reported content. For years, social networks have relied on users to report abuse, hate speech, and other types of online harms. Reports are sent to moderation teams who review each abuse report individually. Many platforms receive thousands of reports daily, most of which can be closed without taking action. Meanwhile, reports containing time-sensitive content — suicide threats, violence, terrorism, and child abuse — risk going unseen or not being reviewed until it’s too late. There are legal implications as well. The German law known as NetzDG says that platforms must remove reported hate speech and illegal content within 24 hours — or face fines of up to 50 million euros. Similar laws concerning reported content are being introduced in France, Australia, the UK, and across the globe. With Two Hat’s reported content product Predictive Moderation, platforms can train a custom AI model on their moderation team’s consistent decisions.
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Hive Moderation
Hive’s complete solution to protect your platform.
Mobilizing the world's largest distributed workforce of humans labeling data, we are raising the bar for automated content moderation. We offer both best-in-class
models as well as manual moderation, allowing us to provide solutions at scale and
outperform contract workforces of business process outsourcers (BPOs).
In addition to our best-in-class models, our distributed workforce can meet a variety of manual moderation needs. Whether you want to manually moderate user content or annotate training data at scale, our distributed system and consensus policy provide a level of precision that our competitors cannot.
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SeyftAI
SeyftAI is a real-time, multi-modal content moderation platform that filters harmful and irrelevant content across text, images, and videos, ensuring compliance and offering personalized solutions for diverse languages and cultural contexts. SeyftAI offers a comprehensive suite of content moderation tools to help you keep your digital spaces clean and safe. Detect and filter out harmful text in multiple languages. SeyftAI's API makes it easy to integrate our content moderation capabilities into your existing applications and workflows. Detect and filter out harmful or explicit images with zero human intervention. Easily integrate SeyftAI's content moderation capabilities. Tailor our content moderation workflows to your specific needs. Access detailed reports and analytics on your content moderation activities. A real-time, multi-modal content moderation platform that filters harmful and irrelevant content across text, images, and videos, ensuring compliance.
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