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AI Image Detector — Check if Image is AI Generated

Upload any image to detect if it was created by AI — ChatGPT, Midjourney, Stable Diffusion, Gemini, Firefly and more. Free, private, runs entirely in your browser.


How AI image detection works

AI-generated images carry statistical fingerprints that differ from photographs taken by real cameras. Our detector combines six independent analysis methods — each targeting a different class of artefact — to produce a single AI-probability score.

The analysis runs entirely in your browser using the Canvas API and JavaScript. Your image is never uploaded to a server, which means the process is both fast and completely private.

What our analysis checks for

  • Metadata scan — reads EXIF and XMP data for known AI generator signatures such as Stable Diffusion parameters, Midjourney tokens or C2PA provenance markers.
  • Frequency-domain (FFT) analysis — transforms image blocks into the frequency domain and looks for unnatural spectral roll-off, repeated frequency patterns, and VAE-related artefacts that diffusion models leave behind.
  • Colour distribution — analyses per-channel histograms for over-smoothed gradients, unusual saturation peaks and high inter-channel correlation typical of AI synthesis.
  • Noise patterns — real camera photos contain sensor noise with a characteristic gradient across the frame. AI images are either unnaturally clean or carry uniform, patternless noise.
  • Edge coherence — examines edge transitions using Sobel operators. AI images often show overly uniform edge sharpness, missing sub-pixel detail and unnaturally clean boundaries.
  • Texture complexity — uses Local Binary Patterns to measure micro-texture diversity. Diffusion models frequently produce reduced texture complexity and tile-like repeating patterns.

Limitations and accuracy

No detection method is 100% accurate. The tool works best on large, high-quality images from major generators. Results may be less reliable on:

  • Low-resolution or heavily compressed images — compression artefacts can mask the signatures the tool looks for.
  • Heavily edited images — extensive Photoshop work, filters or style transfers can alter or destroy AI fingerprints.
  • Images from smaller or newer generators — the tool is trained on patterns from major platforms and may not recognise every AI model.

Always treat the result as one signal alongside your own judgement. If the score is in the 40–60% range, the image is genuinely ambiguous and other context should be considered.

Why detecting AI images matters

As AI-generated imagery becomes indistinguishable from photography, the ability to verify image authenticity is critical for journalists, researchers, educators, businesses and consumers. AI images are increasingly used in misinformation campaigns, fake product listings, fraudulent portfolios and social-engineering attacks.

A reliable detector helps you make informed decisions about the visual content you encounter — whether you are evaluating a job candidate's portfolio, checking a news photograph, or verifying a product image before purchase.

Frequently Asked

AI Image Detector FAQ

Common questions about AI image detection, answered by our experts.

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