Detect Midjourney Images

Check if an image was generated by Midjourney. Analyze metadata patterns and AI signatures. Free online detector.

Midjourney Detection

How it works

Midjourney is one of the most popular AI image generators, producing highly realistic photos and artistic images. Our detector checks for Midjourney-specific patterns: standard output resolutions (1024x1024, 1456x816, 1792x1024), absence of real camera EXIF data, metadata signatures from Midjourney\'s Discord bot pipeline, and compression patterns typical of AI-generated images. Upload any suspicious image for analysis.

Tips

Midjourney v5 and v6 produce very realistic images that are hard to detect visually. Metadata analysis is often more reliable — real camera photos have detailed EXIF data (lens, aperture, ISO) that AI images lack. Combine our AI Detector with ELA Scanner and FFT Spectrum for the strongest analysis.

Want to learn more? Read our guide: How to Detect AI-Generated Images

Frequently Asked Questions

How can I tell if an image is from Midjourney?

Midjourney images typically lack camera EXIF metadata, use standard AI resolutions, and may contain subtle artifacts like overly smooth skin textures, inconsistent lighting, or text rendering errors. Our detector checks multiple technical signals.

Can Midjourney v6 images be detected?

Midjourney v6 produces highly realistic images that are harder to detect visually, but metadata analysis still reveals the absence of real camera data. No AI generator perfectly replicates the full EXIF profile of a real camera.

What if someone adds fake EXIF to a Midjourney image?

Manually adding EXIF data is possible but rarely done convincingly. Fake EXIF often has inconsistencies — mismatched camera model and lens data, impossible settings combinations, or missing manufacturer-specific fields that real cameras include.

Is Midjourney detection 100% accurate?

No AI detection method is 100% accurate. Our tool provides a probability score based on multiple signals. For strongest confidence, combine metadata analysis with visual inspection and complementary tools like ELA and FFT Spectrum.
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