AI Image Detector

Our AI image detector uses advanced neural networks and forensic analysis to identify generative artifacts invisible to the human eye. The system analyzes high-frequency domain patterns, pixel inconsistencies, and GAN signatures to detect AI-generated images. By examining fingerprints like unnatural texture patterns, lighting discontinuities, and anatomical anomalies, we achieve 99.8% detection precision across all major generative models.

Yes, our detector identifies images from all major AI generation platforms including Midjourney, DALL-E, Stable Diffusion, Adobe Firefly, and others. Each generator leaves unique fingerprints in the image data—spectral signatures, noise patterns, and artifact distributions. Our system has been trained on thousands of samples from each model family, allowing us to cross-reference and confirm the likely generation method with high confidence.

Yes, our AI image detector is completely free with no registration required. You can upload unlimited images and receive instant forensic analysis results. Each analysis generates a cryptographically signed verification report that can be downloaded as a PDF and shared as a permanent link on our Global Media Ledger. For high-volume batch detection and enterprise features, we offer API access.

Our detector achieves 99.8% accuracy on benchmark datasets of AI-generated images and authentic photographs. Detection reliability varies based on image quality, compression, and post-processing—heavily edited or compressed images may have lower confidence scores. We provide confidence percentages for each analysis, ranging from definitive verdicts to uncertain classifications, ensuring transparency about detection certainty.

We support JPEG, PNG, and WebP formats up to 20MB in file size. These formats cover the vast majority of images shared online and in forensic investigations. The system performs lossless analysis regardless of compression ratio, though highly compressed images may show slightly lower detection confidence due to information loss.

While newer generative models continuously improve, they inevitably leave mathematical signatures in pixel distributions and frequency domains. Our system is regularly updated to recognize emerging generator fingerprints, but no detector is 100% foolproof against infinitely evolving AI. We remain confident in our 99.8% detection rate while being transparent about the ongoing arms race between generation and detection technology.