Social networks face unprecedented challenges moderating billions of user-uploaded images daily. Our AI-powered Image Moderation API provides real-time detection of NSFW content, violence, hate symbols, and harmful imagery at scale – protecting your users and your brand with 99.5% accuracy.
Try Free DemoSocial media platforms are the digital town squares of our era, where billions of users share moments, ideas, and creativity through images every single day. Facebook, Instagram, Twitter, TikTok, Snapchat, and countless other platforms collectively process more than 4 billion images daily. This unprecedented volume of user-generated content creates both tremendous value and significant risk.
The challenge is multifaceted: platforms must protect users from exposure to harmful content including explicit nudity, graphic violence, hate symbols, self-harm imagery, and terrorist propaganda. They must do this while respecting freedom of expression, accounting for cultural differences across global user bases, and adapting to rapidly evolving content trends and manipulation techniques. A single inappropriate image can go viral within minutes, causing lasting harm to users and devastating damage to platform reputation.
Manual moderation alone cannot scale to meet this challenge. Even with armies of human moderators, the volume is simply too great, the content too traumatizing for sustained human review, and the speed requirements too demanding. This is where AI-powered image moderation becomes not just beneficial, but absolutely essential.
Detect explicit nudity, suggestive content, and pornographic material with granular classification that distinguishes between artistic nudity, medical imagery, and explicit content requiring different policy responses.
Identify graphic violence, blood, weapons in threatening contexts, and disturbing imagery. Protect users from traumatic content while allowing legitimate news and educational material.
Detect swastikas, extremist flags, white supremacist symbols, and other hate imagery. Our continuously updated database covers emerging symbols used by hate groups worldwide.
Identify AI-generated and manipulated images including deepfakes, face swaps, and synthetic media. Combat misinformation and protect public figures from fake imagery.
Extract and analyze text embedded in memes, screenshots, and image macros. Detect hate speech, harassment, and policy violations hidden in visual text.
Identify imagery depicting self-harm, suicide-related content, and eating disorder promotion. Enable intervention workflows to provide resources to at-risk users.
Automatically screen new profile pictures and avatars before they go live, ensuring users cannot upload explicit, violent, or policy-violating imagery as their public face.
Process every image posted to feeds and stories in real-time, flagging or removing content that violates community guidelines before it reaches other users.
Protect users from unsolicited explicit images and harassment in private messages while maintaining appropriate privacy considerations.
Monitor images shared in groups and communities, helping administrators enforce specific rules and preventing the spread of harmful content within closed spaces.
Screen user-generated advertisements and sponsored content to ensure compliance with advertising policies and brand safety standards.
Automatically prioritize user reports by analyzing reported images and routing the most severe violations for immediate human review.
Integrate our Image Moderation API into your social platform's content pipeline in minutes. Our RESTful API accepts image URLs or base64-encoded images and returns detailed moderation results in under 200ms.
# Python example for social media image moderation import requests def moderate_social_image(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", "violence", "hate", "deepfake", "ocr"] } ) result = response.json() # Check if content should be blocked if result["moderation_classes"]["nsfw"]["explicit"] > 0.9: return {"action": "block", "reason": "explicit_content"} if result["moderation_classes"]["violence"]["graphic"] > 0.85: return {"action": "block", "reason": "graphic_violence"} return {"action": "allow"}
Our infrastructure is designed for enterprise-scale processing, handling millions of images per hour with sub-200ms response times. We offer dedicated capacity for high-volume customers with guaranteed SLAs and can scale elastically to handle traffic spikes during viral events.
Images are processed in memory and never stored on our servers. We return moderation results immediately and discard the image data. For compliance purposes, we can provide detailed audit logs of moderation decisions without retaining the actual images.
Our API provides granular confidence scores across multiple categories, allowing you to implement nuanced policies. You can set different thresholds for different content types, send borderline content for human review, or apply content warnings rather than outright blocks.
Yes, our models are trained on adversarial examples and can detect common evasion techniques including color inversion, pixel manipulation, strategic cropping, and overlay techniques. We continuously update our models as new evasion methods emerge.
Our OCR and text moderation capabilities support 50+ languages, including detection of hate speech, profanity, and policy violations in non-Latin scripts. This is essential for platforms with global user bases.
Join leading social networks using our API to moderate billions of images. Start your free trial today.
Try Free Demo