Identify AI-generated image and protect authenticity in a world of deepfakes, AI-generated content, and digital manipulation.
How it works ?
This tool analyzes images to detect if they were created by artificial intelligence by examining several aspects. It studies, among other things, textures to identify patterns that are too regular or artificial.
This detector does not use AI neural networks or deep learning to analyze images. Instead, it is the first to employ an integrated multi-metric approach, adaptive weighting, advanced bokeh analysis, and offers fast processing thanks to the Sharp library.
What is particularly innovative is the integration of numerous analysis techniques into a single pipeline, with adjustments based on image size, metadata, and many other contextual factors. Unlike some solutions that rely solely on neural networks or simple pixel analysis, this combined approach provides greater robustness against the rapid evolution of AI-generated image technologies.
It analyzes edges and transitions between colors, as natural images generally have more varied and organic edges. The software also checks the image metadata – their absence is often an indicator of AI-generated images, while their presence (such as camera device information, focal length, ISO) suggests an authentic photo.
It therefore gives a bonus to images that have complete metadata.
It examines visual artifacts, textures, repetitive patterns, artificial blur and symmetry typical of AI-generated images. All these factors are combined with different weights to produce a final score indicating the probability that the image is artificial.
Real Photo Inspector
Drag and drop an image here
or click to select
Interpretation Guidelines
The final score calculated is presented on a scale from 0 to 100, where a higher score indicates a higher likelihood that the image was generated by AI.
- 0-35: Likely a natural photo
- 35-70: Ambiguous result, possibility of AI alterations (perform a reverse image search to find its origin)
- 70-100: High probability of AI-generated image
High scores are more reliable for entire high-definition images than for heavily cropped or compressed images.
The presence of camera metadata is generally a good indicator of a natural photo.
Real Photo Inspector is a tool for assistance, not an absolute truth. Image generation technology evolves rapidly. Based on my latest tests, the false positive rate was below 20%. If in doubt, feel free to confirm the results with another detector!
Please note: I am not a professional developer, so if you notice any imperfections or areas for improvement, I appreciate your patience and constructive feedback!
For photographers and visual creators, preserving public trust in what we see is crucial.
As AI-generated imagery becomes indistinguishable from photographs, the very nature of visual evidence is at stake. My tool helps maintain the value of authentic photography in an era of synthetic media.
It detects images from leading generators including MidJourney, DALL-E, and Stable Diffusion. My pixel-based analysis works even when metadata is removed and watermarks are absent.
The ethical implications of AI imagery extend beyond simple authenticity—they challenge our relationship with reality itself. When anyone can create convincing “photographs” of events that never occurred, transparency about image origins becomes essential for maintaining social trust.
Use my intuitive drag-and-drop interface for instant analysis—perfect for occasional verification needs and creating shareable reports. For high-volume processing, access my developer API.
Exceeds human detection capabilities. My testing confirms that AI detection models significantly outperform human ability to identify AI-generated images.
In a world where seeing is no longer believing, tools like Real Photo Inspector help preserve the philosophical distinction between documentation and creation. I’m committed to supporting photographers whose work captures authentic moments in an increasingly synthetic visual landscape.
My AI-powered image detector analyzes images and identifies key elements within them. It recognizes objects, patterns, textures or anomalies in real-time. Fast and efficient, it can be used for automation, security, or research purposes.
Compatible with all image generators. My AI detection technology identifies the origin and authenticity of images.
Changelog
1.0
1.1 (03/30/2025)
- Added color variance analysis
- Image filename analysis
- Adjustment of weightings for the final score
1.2 (04/09/2025)
- Advanced edge analysis
- Various improvements
