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ToolsAI Detector

AI Image Detector

Assess likely AI-generated or manipulated signals across text, images, and video. Results indicate risk, not proof.

Image analysis

JPG, PNG or WebP · up to 20 MB

portrait-woman.jpg
portrait-woman.jpg

Analysis result

Probability-based
Risk assessment

Review each probability signal together with the source and surrounding context.

99.9%Likely AI-Generated Image
0%Deepfake risk

Detection results are probability-based risk assessments and are not absolute proof of authorship or manipulation.

Detection results are probability-based risk assessments and are not absolute proof of authorship or manipulation.

Quick definition

What Is an AI Image Detector?

An AI image detector reviews visual patterns to estimate whether an image may have been generated by artificial intelligence. It returns an automated assessment rather than definitive proof.

AI image detector concept with a portrait transitioning into subtle pixel patterns

Three-step flow

How to Use the AI Image Detector

1. Choose an image

Select a supported image from your GlobalGPT media library.

2. Run the analysis

Start the detector after checking the preview and file details.

3. Review the result

Use the AI-generated and deepfake signals together with the source and context.

Understand the signal

How Does AI Image Detection Work?

Image detectors evaluate visual patterns that may be associated with generated or manipulated media. GlobalGPT reports the available Hive risk signals separately so one result does not hide another.

Conceptual illustration of a photograph passing through layered visual signal analysis

AI-generated image signal

Estimates whether the image contains patterns associated with AI-generated content.

Deepfake signal

Estimates possible face-swap or identity-manipulation risk when the signal applies.

Practical review

What Can an AI Image Checker Help You Review?

News photo, profile portrait, and product image arranged for source review

Social images and profile photos

Use the result as an initial signal when the origin of a shared image is unclear.

News and online content

Add automated detection to a broader source-verification process before publishing.

Product and marketplace images

Support an existing moderation or fraud-review workflow without replacing human review.

AI artwork and creative images

Review possible AI-generated signals without treating the result as a copyright decision.

Responsible use

How Accurate Are AI Image Detectors?

AI image detection is probabilistic. Image quality, compression, screenshots, cropping, editing, and newly released generation models may affect the result. A real image may be flagged incorrectly, while an AI-generated image may not be detected.

  • Use the clearest source image available.
  • Check the image source and surrounding context.
  • Treat AI generation and deepfake risk as separate questions.
  • Do not use one result as the sole basis for a consequential decision.

Common questions

AI Image Detector FAQ

What is an AI image detector?

It analyzes visual signals to estimate whether an image may have been generated by AI. The result is an automated assessment, not definitive proof.

Can an AI image detector be completely accurate?

No. Performance can change with the generation model, image quality, compression, screenshots, cropping, and later edits.

Can GlobalGPT check deepfake risk?

The report shows a separate deepfake risk signal when that metric applies to the image.

Which image formats are supported?

You can choose JPG, JPEG, PNG, or WebP images up to 20 MB.

What does a low-risk result mean?

It means the detector did not identify a strong signal in the submitted image. It does not prove the image is authentic.

Ready to review an image?

Review an Image with GlobalGPT

Choose an image and compare the available risk signals with its source and context.