Explicit sexual content poses one of the greatest risks to user safety, platform reputation, and regulatory compliance. Our AI-powered image moderation detects and blocks NSFW content with 99.5% accuracy in under 200ms, protecting your users before harmful imagery ever reaches them.
Try Free DemoExplicit content is the most common and most damaging type of harmful user-generated content. When pornographic or sexually explicit images appear on your platform, the consequences cascade quickly: users feel unsafe and leave, advertisers pull their budgets, app stores may delist your app, and regulators may impose fines or legal action. For platforms serving minors, the stakes are even higher, with COPPA and similar regulations imposing strict requirements.
The challenge is compounded by the sheer volume of content modern platforms must process. A mid-sized social app might see hundreds of thousands of image uploads daily. A popular marketplace could receive millions. Manual moderation cannot possibly keep pace, and even a brief window of exposure can cause lasting damage to your brand and community.
Sophisticated bad actors make detection even harder. They use techniques like image splitting, color inversion, strategic cropping, and overlay manipulation to evade basic detection systems. Your moderation solution must be as sophisticated as those trying to circumvent it.
Our Image Moderation API uses a multi-layered deep learning approach that goes far beyond simple nudity detection. We classify content across a comprehensive taxonomy of explicit material, providing the granular control modern platforms need.
Distinguish between explicit nudity, suggestive content, partial nudity, swimwear, artistic nudity, and medical imagery with confidence scores for each category.
Process images in under 200ms, enabling pre-publication blocking that prevents explicit content from ever being visible to other users.
Our models are trained on adversarial examples including color manipulation, cropping tricks, and overlay techniques used to evade detection.
Set different sensitivity levels for different contexts. Apply stricter thresholds for profile photos while allowing more latitude for art communities.
Detect AI-generated explicit imagery including deepfakes and synthetic pornography that's becoming increasingly prevalent.
Account for cultural differences in content standards across different regions and user demographics.
Integrating explicit content prevention into your platform takes just a few lines of code. Our API accepts image URLs or base64-encoded images and returns detailed classification results in milliseconds.
# Python - Prevent explicit content uploads import requests def check_for_explicit_content(image_url, api_key): response = requests.post( "https://api.imagemoderationapi.com/v1/moderate", headers={"Authorization": f"Bearer {api_key}"}, json={ "image_url": image_url, "models": ["nsfw"] } ) result = response.json() nsfw = result["moderation_classes"]["nsfw"] # Block explicit content if nsfw["explicit"] > 0.9: return {"allowed": False, "reason": "explicit_content"} # Flag suggestive content for review if nsfw["suggestive"] > 0.7: return {"allowed": True, "flagged": True, "reason": "suggestive_content"} return {"allowed": True, "flagged": False}
Our explicit content detection covers the full spectrum of adult and NSFW material:
Different platforms have different needs when it comes to explicit content prevention:
Our API provides separate confidence scores for different categories including artistic nudity, medical imagery, and explicit pornography. This allows you to set different policies for different content types. For example, an art-focused platform might allow classical art with nudity while blocking explicit pornography.
Our models are specifically trained on adversarial examples including common evasion techniques. We detect images that have been color-inverted, cropped strategically, overlaid with patterns, or manipulated in other ways to evade basic detection systems. We continuously update our models as new evasion techniques emerge.
At our recommended threshold settings, false positive rates are under 1% for typical use cases. We provide configurable thresholds so you can balance between maximum protection and minimal false positives based on your platform's specific needs.
No. Images are processed in memory and immediately discarded after returning results. We never store customer images and do not use them for model training. We provide detailed audit logs of moderation decisions without retaining the actual images.
We provide granular categories including swimwear, fitness, and underwear that are separate from explicit nudity. You can configure your policies to allow or restrict these categories independently, enabling appropriate moderation for your specific platform context.
Protect your users and your brand with industry-leading NSFW detection. Start your free trial now.
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