Is this real?
TrueMedia.Org detected substantial evidence of manipulation.
Analysis
Results
Visual Noise
Variations in pixels and color
Highly Suspicious
Generative AI
Detects signatures of GenAI tools
Highly Suspicious
Faces
Generation or manipulation of faces
Little Evidence
Disclaimer: TrueMedia.Org uses both leading vendors and state-of-the-art academic AI methods. However, errors can occur.
Visual Noise2
Variations in pixels and color
Highly Suspicious
96% confidence Visual Noise Analysis
Tests for random variation of brightness or color information in pixel values of images.
Highly Suspicious
82% confidence Diffusion-Generated Image Detection
Evaluates the discrepancy between the original image and the version reconstructed by pre-trained diffusion models. Such models are known to potentially capture visual noise, commonly associated with the diffusion process.
Generative AI5
Detects signatures of GenAI tools
Highly Suspicious
65% confidence GANs
Detects the signature of images created by Generative Adversarial Networks.
Uncertain
25% confidence Image Generator Analysis
Analyzes image for indications that it was generated by popular AI image generators, like MidJourney, Dall-E, Stable Diffusion and thispersondoesnotexist.com.
Little Evidence
Diffusion
Detects the signature of images created by Stable Diffusion.
Little Evidence
AI Generated Image Detection
The model was trained on a large dataset comprising millions of artificially generated images and human-created images such as photographs, digital and traditional art, and memes sourced from across the web.
Little Evidence
AI Generated Image Detection
Detects AI-generated photo-realistic images, created for example by Generative Adversarial Networks and Diffusion Models like Stable Diffusion, MidJourney, DALL·E 2 and others.
Faces1
Generation or manipulation of faces
Little Evidence
Faceswaps
Face swapping transfers the identity of one face to another, while keeping the other details, such as the expression.
