Is this real?
Substantial Evidence of Manipulation
TrueMedia.org verdict: substantial evidence of manipulation.
Verified by human analyst
Analysis
Results
Generative AI
Detects signatures of GenAI tools
Uncertain
Visual Noise
Variations in pixels and color
Uncertain
Disclaimer: TrueMedia.org uses both leading vendors and state-of-the-art academic AI methods. However, errors can occur.
Generative AI5
Detects signatures of GenAI tools
Substantial Evidence
100% confidence 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.
Uncertain
47% confidence Universal Fake Detector Analysis
Using the feature space of a large, pretrained vision-language model, this model analyzes images to determine if they were generated by a variety of popular generative and autoregressive models.
Little Evidence
2% confidence 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
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
Multi-Modal AI
Analyzes the image for indications it was generated by AI or otherwise digitally manipulated.
Visual Noise1
Variations in pixels and color
Substantial Evidence
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.
