Automate Content Moderation with an NSFW Detection API

Every platform that accepts user-uploaded images faces the same challenge: how do you keep explicit content from reaching your users? Manual review is expensive, slow, and mentally taxing for moderators. An NSFW detection API solves this by classifying images in milliseconds, letting you enforce content policies at scale. The Three-Tier Approach Instead of a binary block/allow, use confidence thresholds: > 85% → auto-reject 50–85% → flag for human review < 50% (or empty) → auto-approve This dramatically reduces false positives while catching what matters. Quick Start Send an image URL, get back classification labels with confidence scores: import requests url = " https://nsfw-detect3.p.rapidapi.com/nsfw-detect " headers = { " x-rapidapi-host " : " nsfw-detect3.p.rapidapi.com " , " x-rapidapi-key " : " YOUR_API_KEY " , " Content-Type " : " application/x-www-form-urlencoded " , } response = requests . post ( url , headers = headers , data = { " url " : " https://example.com/uploaded-phot