Identify deepfakes, AI art, and synthetic images with 95%+ accuracy. Extracts EXIF, IPTC & C2PA metadata. No signup required. We never store your images.
Color intensity = manipulation likelihood
Drag and drop or click to upload any image. Supported formats: JPG, PNG, WebP.
Our neural network analyzes the image using advanced feature extraction and model ensembles.
Receive a detailed verdict with confidence score in under 3 seconds.
Built on state-of-the-art computer vision and deep learning techniques
We employ a multi-scale CNN architecture that extracts hierarchical features from input images. Our system analyzes both global image statistics and local patterns to identify artifacts and inconsistencies characteristic of AI generation.
Rather than relying on a single model, we combine multiple specialized neural networks trained on different datasets. Each model is optimized for specific types of AI generators and manipulation techniques, providing robust cross-validation.
Our output isn't just binary. We provide calibrated confidence scores that reflect the model's actual uncertainty. This is achieved through temperature scaling and Platt scaling on validated datasets, giving you actionable confidence metrics.
AI generation techniques evolve rapidly. Our models are continuously retrained on the latest synthetic images and updated monthly to detect new generation methods as they emerge.
Detect images generated by OpenAI's DALL-E with high accuracy across all versions.
Identify AI art created with Midjourney's generative models.
Recognize images generated by Stable Diffusion and similar open-source models.
Detect deepfaked videos converted to images and facial manipulation artifacts.
Identify digitally swapped faces and synthetic facial features.
Recognize synthetic faces created with GANs like StyleGAN and ProGAN.
Extract camera model, software, timestamps, creator info, and GPS metadata.
Verify Content Credentials and provenance manifests for authentic origin chains.
Verify image authenticity before publication and fact-check suspicious photos.
Ensure dataset quality and detect synthetic images in research studies.
Screen user-generated content and prevent AI art misrepresentation.
Detect AI-generated student submissions and teach media literacy.
Validate evidence authenticity and identify manipulated imagery in cases.
Scale moderation efforts with automated deepfake and AI content detection.
Explore the technical artifacts that make DALL-E images recognizable, including frequency domain anomalies and color space inconsistencies that AI models leave behind.
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Read article →Start protecting truth. Get instant, accurate detection results—completely free.