Safety and moderation tools
This category is built for platforms, moderators, and researchers who need to review images at scale rather than for casual browsing. The AI image detector examines a photo and estimates whether it was likely generated or heavily altered by AI, which teams use to flag synthetic content during review, verify authenticity claims, or support content policy enforcement. The nsfw content detector scans an image and flags whether it contains explicit or inappropriate material, a common building block for platforms that need to filter uploads automatically before they reach the public. The nsfw image describer goes a step further for moderation teams that need more than a flag, it produces a factual, clinical written description of what appears in flagged content so a reviewer can assess and document it without necessarily viewing the image directly in every case. These three tools work together across a typical moderation pipeline: detect whether content might be AI-generated, flag whether it contains adult material, and describe flagged content clearly enough for a human reviewer or policy team to act on it. None of these tools are perfectly accurate, AI detection can be fooled by sufficiently advanced generation techniques, and content classification can miss edge cases or borderline material, so teams using these tools should treat results as a strong first pass that still benefits from human review before any enforcement action is taken.
AI Image Detector
Upload an image and see the signs that suggest it was AI-generated or a real photo.
NSFW Detector
Upload a photo and get a clear flag on whether it contains explicit or suggestive content, with the reasoning behind the call.
NSFW Image Describer
Turns a flagged image into a plain, factual write-up a moderator can act on without opening it again.
Questions about Safety & Moderation tools
Can the AI image detector guarantee whether an image is AI-generated?
No. It gives a strong estimate based on patterns common in AI-generated images, but sophisticated generation or editing techniques can sometimes evade detection, so results are not a certainty.
Who typically uses the NSFW content detector?
Platforms, moderation teams, and researchers use it to automatically flag uploads that likely contain explicit or inappropriate material before a human reviewer looks at them.
What makes the NSFW image describer different from the detector?
The detector gives a flag on whether content is likely inappropriate, while the describer produces a factual, non-explicit written description of flagged content to support review and documentation.
Should moderation decisions rely on these tools alone?
No. These tools are meant to support a first pass at scale, and decisions with real consequences should still involve human review given the possibility of false positives or missed content.