AI Image Detector

How to use

Drop or select an image (JPG, PNG, WebP, or GIF up to 5 MB), then click 'Detect now'. The detector sends the image to a vision model that inspects telltale signs of AI generation — anatomy errors, texture artifacts, garbled background text, lighting inconsistencies — and returns a verdict (AI / Human / Uncertain), a confidence score, a list of key indicators, and a plain-language explanation. You can detect another image at any time without sign-up.

Why use this tool

Modern AI image generators (ChatGPT, Midjourney, Stable Diffusion, FLUX) make it hard to tell AI-generated content from real photos at a glance. This detector gives you a fast, evidence-based second opinion before you publish, share, or trust an image. Useful for journalists verifying user-submitted photos, marketers screening stock imagery, educators teaching media literacy, and anyone wanting to spot fake profile pictures or social media content. The model never trains on your image — it is processed once for detection only.

FAQ

How accurate is the AI image detector?

Accuracy depends on the image. Older or low-effort AI images are flagged easily; the latest high-quality models (FLUX, Midjourney v6, ChatGPT image) can be harder. Use the verdict together with the confidence score and listed indicators — high confidence with multiple concrete indicators is the most reliable signal.

What does 'Uncertain' mean?

It means the model could not find enough strong evidence to confidently choose AI or Human. This often happens with cropped, low-resolution, heavily compressed, or heavily edited photos. Try uploading a higher-resolution version of the same image.

What file formats and sizes are supported?

JPG, PNG, WebP, and GIF up to 5 MB. For best results, upload the original image rather than a screenshot or re-saved copy — re-encoding can wash out the subtle artifacts the detector relies on.

Is my image stored or used for training?

No. The image is sent once to the vision model for detection and is not stored on our servers or used for model training. We do not retain a copy after the detection request finishes.

What signals does the detector look for?

Anatomical inconsistencies (extra fingers, malformed hands, asymmetric features), unnatural textures (plastic-looking skin, repetitive patterns), background and edge artifacts (warped text, melting backgrounds), lighting inconsistencies, and reflection/refraction errors that diffusion models commonly introduce.

Can it detect deepfakes or face swaps?

It is optimized for fully AI-generated images rather than deepfake video frames or face-swapped photos. For face-swap or video forensics, dedicated deepfake detectors are more appropriate.

Why might a real photo be flagged as AI?

Heavy retouching, beauty filters, low light, motion blur, or aggressive compression can resemble AI artifacts. If you suspect a false positive, try a higher-quality version of the same photo and compare the indicators.