AI Deepfake Detector
Upload any photo to check if it was generated by AI (Midjourney, DALL-E, Stable Diffusion) or is a real photograph. Uses on-device AI — your images never leave your browser.
Drop an image here or click to upload
Supports JPG, PNG, WebP — max 10 MB
Your image is analyzed entirely in your browser using AI. Nothing is uploaded to any server.
How AI Deepfake Detection Works
This tool uses machine learning image classification running directly in your browser via Transformers.js. When you upload a photo, the AI model analyzes pixel patterns, texture artifacts, and structural inconsistencies that are characteristic of AI-generated images. Real photographs have natural noise patterns and optical imperfections, while AI-generated images often contain subtle artifacts in hair, teeth, backgrounds, and symmetry.
The model runs entirely on your device — your photos are never uploaded to any server. This makes it the most private deepfake detector available, ideal for checking sensitive images without exposing them to third parties.
What Can AI Deepfake Detectors Identify?
Modern AI detectors can identify images generated by popular AI models including Midjourney, DALL-E 3, Stable Diffusion, Adobe Firefly, and Google Imagen. They analyze features like unnatural skin textures, inconsistent lighting, warped backgrounds, asymmetric faces, and artifact patterns unique to each generation model.
Detection accuracy varies by image quality and generation model. High-resolution images from latest models (Midjourney v6, DALL-E 3) are harder to detect, while earlier models and heavily compressed images are easier to identify. No detector is 100% accurate — use results as guidance, not proof.
Why Deepfake Detection Matters in 2026
With AI image generation becoming increasingly realistic, deepfake detection is critical for journalism (verifying source photos), social media (spotting fake profiles), legal proceedings (evidence authentication), academic integrity (detecting AI-generated submissions), and personal safety (identifying scam images). The rise of AI-generated content makes verification tools essential for digital literacy.
Tips for Better Detection Results
Upload the highest resolution version available — compressed or resized images lose the subtle artifacts that detectors rely on. Check faces carefully: AI often struggles with ears, teeth, jewelry, and hair strands. Look at backgrounds for warped lines, impossible architecture, or blurred nonsensical text. Multiple analysis tools can provide higher confidence — if several detectors agree, the result is more reliable.