What is Sightengine?
Sightengine is a comprehensive content moderation and image analysis API designed to help businesses automatically assess, filter, and moderate user-generated content. With over 150 moderation classes covering nudity, hate speech, violence, drugs, weapons, self-harm, and more, Sightengine provides a robust solution for platforms that need to maintain safe and compliant environments. The API is context-aware and highly customizable, allowing fine-tuning to specific needs, resulting in greater accuracy than other solutions.
Key features include detection of sexual, hateful, violent, insulting, or inappropriate text, as well as personal information, links, and usernames. It can identify attempts to engage in restricted activities and automatically determine if an image or video was AI-generated, helping to flag deepfakes and synthetic media. The platform also offers duplicate detection to prevent spam, custom disallow lists for blocking abuse, and detection of abusive links, QR codes, phone numbers, email addresses, and references to other platforms. Additionally, Sightengine can identify activities such as smoking, vaping, gambling, and drinking alcohol, as well as objects like sextoys, banknotes, and coins.
For image quality, the API automatically detects low-quality images, including issues like bad framing, blurriness, and poor lighting, helping to highlight high-quality content efficiently. It also provides enhanced profile picture verification, checking if an image contains a clear and recognizable face, if the face is real, and if other people or children are present.
Sightengine is built for scalability, returning moderation results instantly and scaling automatically to handle tens of millions of images per month. It uses state-of-the-art models and proprietary technology, ensuring consistent and auditable moderation decisions with continuous improvement through feedback loops. The API is developer-friendly, with simple SDKs and detailed documentation, requiring only a few lines of code to integrate. No human moderator is involved in the process, reducing costs and increasing efficiency. Use cases include social media platforms, dating apps, marketplaces, and any service that needs to moderate user-generated content at scale.
Use Cases
Key Features
content moderation image analysis AI generated detection hate speech filtering violence detection drug identification weapon detection self harm detection duplicate detection custom disallow listsWho is it for?
social media platforms, online marketplaces, gaming communities, content sharing apps, enterprise compliance teams, legal departments, trust and safety teams
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