Real Photo Inspector

In a world where most tools detect AI-generated images using deep learning models, Real Photo Inspector stands apart. It offers a multi-metric, non-neural-network approach to determine if your image is genuine or synthetic. How it works: Analyses textures, edges, color transitions, blur / bokeh / repetition patterns — to catch visual signatures typical of AI generation. Uses metadata when available (camera model, focal length, ISO, etc.); missing metadata can be a sign of manipulation. Combines all these factors in a weighted pipeline (adaptive based on image size, metadata, contextual info) for greater robustness.

Why choose this tool instead of standard AI detectors? Many detectors rely purely on neural networks or single-metric (pixel-based) tests; those can be fooled more easily as generators get better. Real Photo Inspector’s blended metric method yields better resilience. Faster processing (no heavy model inference) thanks to libraries like Sharp.

It's completely free and available in English and French! 🇫🇷🇬🇧 I also provide regular updates to improve accuracy and add new features.