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TrueMedia.Org detected substantial evidence of manipulation.
File type and size
AI tools queried
Partners and in house
Processing time
Time to analyze media
First analyzed on
Mon, Mar 25, 2024
Disclaimer: TrueMedia.Org uses both leading vendors and state-of-the-art academic AI methods. However, errors can occur.
AI manipulation analysis
Highly Suspicious
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.
Little Evidence
33% confidence
Visual Noise Analysis
Tests for random variation of brightness or color information in pixel values of images.
Little Evidence
3% confidence
Detects the signature of images created by Stable Diffusion.
Little Evidence
3% confidence
Detects the signature of images created by Generative Adversarial Networks.
Little Evidence
2% 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.
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.
No Evidence
Image Generator Analysis
Analyzes image for indications that it was generated by popular AI image generators, like MidJourney, Dall-E, Stable Diffusion and
No Evidence
Face swapping transfers the identity of one face to another, while keeping the other details, such as the expression.
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