The rise of AI image generation creates new challenges for platforms. Deepfakes, synthetic faces, and AI-generated content can spread misinformation, enable fraud, and erode trust. Our detection identifies AI-generated imagery across all major generation methods.
Try Free DemoAI image generation has advanced rapidly. Tools like Midjourney, DALL-E, Stable Diffusion, and countless others can create photorealistic images from text prompts. Deepfake technology can swap faces convincingly. These capabilities, while innovative, create serious problems for platforms seeking to maintain authenticity.
AI-generated content enables new forms of fraud: fake profile photos for scam accounts, synthetic identities for financial fraud, deepfake revenge porn, and fabricated evidence. Misinformation spreads through realistic but fake news images. Trust erodes when users can't distinguish real from synthetic.
Our AI detection identifies images created by all major generation methods, helping platforms maintain authenticity and protect users from AI-enabled deception.
Detect images from Midjourney, DALL-E, Stable Diffusion, and other major AI generators with high accuracy.
Identify face swaps, synthetic faces, and manipulated facial imagery used for impersonation and fraud.
Detect telltale artifacts and inconsistencies that reveal AI generation even in high-quality outputs.
Identify images that have been partially edited or enhanced using AI tools while retaining real elements.
Get detailed confidence scores indicating likelihood of AI generation, enabling nuanced policy enforcement.
Our detection models are continuously updated as new generators and techniques emerge.
Detect AI-generated profile photos used for fake accounts, bots, and coordinated inauthentic behavior.
Ensure identity documents and selfies submitted for KYC aren't AI-generated or manipulated.
Verify authenticity of news images to prevent spread of AI-generated misinformation.
Detect AI-generated profile photos and deepfakes used for catfishing and romance scams.
Identify AI-generated product photos that don't represent actual inventory.
Label or flag AI-generated content to maintain transparency with users.
Add AI detection to your content pipeline with our easy-to-use API.
# Python example for AI image detection import requests def detect_ai_generated(image_url, api_key): response = requests.post( "https://api.imagemoderationapi.com/v1/detect/ai", headers={"Authorization": f"Bearer {api_key}"}, json={ "image_url": image_url, "checks": [ "ai_generated", "deepfake", "synthetic_face", "partial_manipulation" ] } ) result = response.json() if result["ai_generated"]["confidence"] > 0.85: return { "is_ai": True, "generator": result["likely_generator"], "confidence": result["ai_generated"]["confidence"] } return {"is_ai": False}
Our overall AI detection accuracy is 96% across major generators. Deepfake face detection achieves 99% accuracy. Accuracy varies by generator and image quality – we provide confidence scores to help you make informed decisions.
Yes. We can identify the likely generator (Midjourney, DALL-E, Stable Diffusion, etc.) with reasonable confidence for most AI-generated images, based on characteristic artifacts and patterns.
We continuously train on outputs from new and updated generators. Our models are updated regularly to maintain detection accuracy as AI generation technology evolves.
Our partial manipulation detection identifies images that combine real and AI-generated elements, such as AI-enhanced backgrounds or AI-inserted objects in real photos.
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