Polished Style Without a Clear Source
The image may look production-ready, yet have no photographer, original post, project file, or creation history that explains where it came from.
Midjourney Detector
Check if an image was likely generated by Midjourney. Get a clear probability result online without signing up.
Content
Drag & drop or upload an image
JPG · JPEG · PNG · WEBP · max 10 MB
Detected then deleted · Reports are independently verifiable
Result
Upload an image to start
Drop a file on the left, or pick one of the sample images.
Try one of our sample images
Know for Sure. Is It AI or Human?
Uncover the truth behind any text. Use our free AI detector to instantly analyze and verify whether content is human-written or AI-generated.
Top 3
AI Image Detection Tool
500K+
Images Checked Monthly
4.9
Average User Rating
Check If an Image Was Made With Midjourney
A polished fantasy scene, portrait, or product mockup can look credible at first glance. Upload the visual to run a focused Midjourney image check before you publish, approve, license, or share it. You receive a clear probability result to guide what you verify next.
See If the Image Leans AI or Human
Midjourney can produce everything from stylized artwork to photorealistic scenes, so a simple warning that an image looks suspicious is not enough. Lynote shows AI and human probability signals for the image you suspect came from Midjourney. Use the result to decide whether to trace the original post, request source files, or continue with a deeper review.
Review Evidence Beyond the Midjourney Look
Midjourney does not have one permanent visual style, and newer outputs often look entirely natural. Go beyond surface-level aesthetics by reviewing visual patterns alongside available metadata, provenance, and watermark signals. Start with a quick Basic Scan, or choose an Advanced Scan when a publishing decision requires deeper context.
How to Detect a Midjourney-Generated Image
Step 1. Upload a Suspected Midjourney Image
Upload the portrait, artwork, product visual, or social media post you suspect was generated with Midjourney. We support standard formats including JPG, JPEG, PNG, WebP, and HEIC files.
Step 2. Run the Midjourney Image Check
Click the 'Detect Image' button to start the analysis. Lynote checks the suspected Midjourney image for visual patterns and available file signals.
Step 3. Review the AI Probability Result
Read the AI and human probability signals to see how strongly the image leans. If the result points toward AI, check the original source, creator history, or project files before making a final decision.
Common Signs of a Midjourney-Generated Image
Midjourney does not leave one universal visual fingerprint. These patterns can help you decide when an image deserves a closer source check, but no single sign proves that Midjourney created it.
Small Details That Lose Coherence
Inspect hands, jewelry, eyewear, tools, labels, and object intersections. Complex details may look convincing separately but conflict when viewed together.
Text and Symbols That Almost Work
Signs, packaging, interface labels, and decorative lettering may resemble real language while containing malformed characters or inconsistent typography.
Repeated Textures and Background Forms
Hair, foliage, fabric, crowds, windows, and ornaments may repeat, merge, or change structure across different parts of the scene.
Lighting and Reflections That Disagree
Compare shadow direction, highlights, mirrors, glass, and reflected objects. A polished subject can still sit inside a scene whose light logic does not hold.
Cinematic Composition Without Camera Context
Dramatic depth, symmetry, and color grading can suggest a generated visual when the available metadata and source history do not support a real capture workflow.
Why Choose Our Midjourney Detector?
Visual Pattern Review
Analyze the relationships among textures, lighting, repeated objects, edges, and backgrounds. This supports your review without treating any single artifact as definitive proof.
EXIF Context
Available camera or software metadata adds valuable context to your file. Keep in mind that screenshots, social media platforms, and compression often strip these details.
Provenance Signals
Check available content credentials, file editing history, and embedded watermark evidence. Remember that missing provenance data does not automatically prove an image is real.
Midjourney-Focused Review
Review artwork, portraits, product visuals, and social images specifically when Midjourney use is in question, without relying on a generic style checklist.
Clear Probability Result
Receive a clear probability result showing AI and human likelihoods, offering a practical review signal rather than definitive Midjourney attribution.
Two Review Depths
Access two review depths: a basic scan for everyday visual screening, and an advanced scan for high-stakes editorial and publishing decisions.
Common Image Formats
We support practical uploads in JPG, JPEG, PNG, WebP, and HEIC formats. This covers common Midjourney exports, saved web graphics, and standard screenshots.
Private Image Review
Your uploads are handled privately during the scanning process. We never store your submitted files or use them to train any machine learning models.
Who Uses a Midjourney Image Detector?
News Editors
Assess a suspicious news or event image before publication. Verify the original source when the Midjourney image detector flags a high AI probability.
Art Directors
Review portfolio artwork that may be Midjourney-generated. Use the scan as a baseline signal without treating the detector output as absolute proof of authorship.
Marketplace Reviewers
Flag product photos or digital assets that may use undisclosed Midjourney generation before escalating the listing for further review.
Social Media Moderators
Check viral visuals and user submissions before resharing. Use the result to decide whether the source needs verification or the post should be escalated for review.
Design Educators
Use the report as one part of a fair visual assignment review. Evaluate the results alongside student process files and early design drafts.
Creative Clients
Assess commissioned artwork before final approval. Verify deliverables when your project brief restricts generative tools or requires full disclosure of AI usage.
How People Use the Midjourney Detector
Marcus Thorne
News Editor
A cinematic event image looked polished enough for publication, but its source trail stopped at a repost. The Midjourney detector gave our desk a reason to pause and request the original file.
Julian Alvarez
Art Director
A portfolio piece had the dramatic lighting and surface detail I often see in Midjourney work. The scan did not decide authorship for me, but it helped me ask for sketches and process files.
Kenji Sato
Marketplace Reviewer
A seller used a beautiful lifestyle background around an otherwise ordinary product. We checked the image for Midjourney generation before asking for the original shoot and listing assets.
Omar Desai
Design Educator
For visual assignments, I compare the detector result with prompts, drafts, and edit history. That keeps the conversation focused on process instead of treating one score as proof.
Elena Rostova
Social Media Manager
A surreal storm image was spreading fast with no photographer attached. I ran a quick Midjourney check, then traced the earliest post before our team considered resharing it.
Chloe Bennett
Creative Client
Our brief required disclosure of generative tools, so I reviewed the final concept art before payment. The result helped me decide whether to request the layered source file.
Midjourney Detector FAQs
Find answers to common questions about checking images for Midjourney generation.
A Midjourney detector is an online tool that analyzes visual files to estimate the likelihood of artificial generation. It looks past surface-level aesthetics to evaluate pixel patterns, metadata, and structural anomalies, helping you review suspicious artwork and digital assets.
To detect if an image is generated by Midjourney, Lynote reviews visual patterns and any available file context, such as EXIF metadata, content credentials, or watermark signals. It combines the available evidence into AI and human probability results instead of judging the image by style alone.
No, it provides a probability-based review signal rather than definitive legal or academic proof. Modern generative outputs are highly realistic, and false positives can occur. You should use the results to guide further verification, such as requesting original process files.
It can review newer Midjourney images, but increasingly realistic outputs may be harder to distinguish. The result remains a probability signal and does not identify a specific Midjourney version with certainty.
You can upload JPG, JPEG, PNG, WebP, and HEIC files up to 10MB.
Yes. Your files are processed securely for the analysis and are never stored permanently or used to train external AI models.
Yes, the Basic Scan is completely free. We also offer an Advanced Scan for Pro users who need deeper metadata and provenance analysis.
No account is required for the free basic scan. You can upload and check your visual assets immediately.
Modern AI outputs can look convincing and may not contain obvious flaws. Lynote adds visual-pattern analysis and available file-level evidence, such as EXIF metadata or content credentials, while source checking still remains important.
Yes, but results may be less accurate. Compression and screenshotting strip away hidden metadata and alter pixel patterns, making it harder to detect a Midjourney generated image.
The score depends on available metadata, image resolution, and editing history. Original, high-resolution files provide the strongest signals, while cropped, filtered, or heavily altered images lower the tool's overall confidence.
Treat the result as a review signal rather than definitive proof. If the probabilities are close or confidence is limited, check the original source, ask for project files, or run an Advanced Scan.
Explore Related AI Image Detection Tools
Continue checking suspicious visuals with tools for AI-generated images, fake photos, watermark evidence, deepfakes, and broader AI content review.
