AI Tips On How To Detect AI Images, And 5 AI Detection Tools

In case you missed it, there was a recent incident involving the withdrawal of a photo of the Princess of Wales by major news agencies including PA, Getty Images, Reuters, and AFP.

These agencies retracted the photo due to concerns it had been manipulated. This brings up the topics of how to spot enhanced images, and what the pros and cons of tools that generate these images are.

In order to get to the bottom of edited and generated photos online, BonusFinder.co.uk asked none other than renowned AI site ChatGPT to get AI’s top tips on spotting AI-generated and photoshopped images.

 

BonusFinder.co.uk: AI’s Top Tips For Identifying Manipulated Images

 

1. Inspect Metadata:

Check the metadata of the image file. If it was generated by AI or heavily modified in Photoshop, there might be discrepancies or missing data in the metadata.

 

2. Look for Repeating Patterns:

AI-generated images may exhibit repeating patterns or inconsistencies that are not present in natural images. Look closely for any areas where details seem duplicated or overly uniform.

 

3. Examine Lighting and Shadows:

Lighting and shadows can be difficult to replicate accurately in AI-generated or manipulated images. Pay attention to any discrepancies in the lighting and shadows that might suggest artificial manipulation.

 

4. Check for Unusual Artifacts:

AI-generated images or heavily modified ones may contain unusual artifacts such as misplaced pixels, smudges, or distortions. Zoom in and carefully examine the image for any irregularities.

 

5. Reverse Image Search:

Use reverse image search tools like Google Images or TinEye to see if the image appears elsewhere online. If it’s AI-generated, it may not have matches, or if it’s heavily manipulated, you might find similar but not identical versions.

 

6. Assess Consistency of Details:

In AI-generated images, details may be inconsistent or illogical. Look for elements that don’t quite fit together or seem out of place compared to the rest of the scene.

 

7. Evaluate Image Quality:

AI-generated images might have different quality levels or resolutions in different parts of the image due to the nature of how they’re generated. Look for any discrepancies in image quality that could indicate manipulation.

 

8. Consider Context and Plausibility:

Think about whether the content of the image seems plausible or fits the context in which it’s presented. AI-generated images may depict unrealistic scenes or scenarios.

 

9. Look for Signs of Image Editing Software Use:

If an image has been heavily manipulated in Photoshop or similar software, there may be telltale signs such as cloned areas, mismatched edges, or evidence of manipulation in the layers of the image.

 

10. Consult Experts:

If you’re unsure about the authenticity of an image, consider consulting with experts in image forensics or digital media analysis. They can provide insights and techniques for identifying manipulation that may not be apparent to the untrained eye.

 

BonusFinder.co.uk then asked ChatGPT to generate an image of Kate Middleton and her children:
 

 


 

Image Enhancer Detection Tools

 

With the above having been such a straightforward and quick process, we have decided to put the 10 image enhancer detection tools below a chance, by letting them idenitfy if the above image is AI-generated:

 

1. AI or Not

 

 

AI or Not is a web service designed to detect whether an image has been generated by AI. It supports various formats like JPEG and PNG. Users can drag and drop or upload an image for analysis.

This service recognizes images created by known AI technologies such as Stable Diffusion and DALL-E. It’s user-friendly and requires no technical skills, providing a straightforward way to understand the AI origin of images.

 

2. IsItAI Image Detector

 

 

 

 

IsItAI Image Detector offers a straightforward platform for users to determine if images are AI-generated. The tool uses advanced machine learning models, trained with numerous human and AI-created pictures, to analyse features within uploaded images. Users can expect quick, one-click results indicating the likelihood of AI involvement.

 

3. Maybe’s AI Art Detector

 

 

 

This tool specialises in artistic images, identifying whether they’ve been crafted by AI models. Though it might not cover the latest AI versions like Midjourney 5, it remains effective for older model outputs.

It is tailored for artistic content and serves as a useful tool for those in creative fields.

 

4. Illuminarty’s AI Detector

 

 

 

 

This detector expands past image analysis, offering text and image detection capabilities to identify AI-generated content. With user-friendly interfaces and extension options for browsers, it serves a wide audience, including enterprises seeking integration solutions. It’s an all-encompassing tool for those looking to discern AI-generated content.

 

5. Content At Scale Advanced AI Image Detector

 

 

 

 

This detection tool is an innovative tool designed for individuals eager to determine if their images are AI-generated. Users can upload images or input URLs, and the detector swiftly analyses pixel patterns and smoothness to gauge AI involvement.

Ideal for distinguishing between human-made and AI-generated visuals, this platform is a reliable asset in addressing the increasing concerns around deep fakes in society.

Also, it provides options for API integration for tailored uses. This service is particularly beneficial for content marketers aiming to ensure authenticity in their digital assets.

 

Results From Each Tool

 

Below are the results TechRound has tested out using BonusFinder.co.uk’s AI generated image above, with each of the tools that can help detect AI. How the results were represented, varies with each platform:

 

  1. AI or Not: This is likely AI
  2. IsItAI Image Detector: AI: 99.89%, Human: 0.11%
  3. Maybe’s AI Art Detector: artificial: 55%, human: 45%
  4. Illuminarty’s AI Detector: AI Probability: 87%
  5. Content At Scale Advanced AI Image Detector: Human: 46%, AI: 54%