AI Image Detector

Upload any photo and get a five-signal forensic report: AI generation probability, deepfake risk, metadata integrity, image origin, and semantic consistency. Covers Midjourney, DALL-E 3, Stable Diffusion, Flux, Imagen, and more.

Midjourney v6–v7DALL-E 3Stable Diffusion XL / SD3Flux.1Google Imagen 3Adobe FireflyGrok AuroraEmu (Meta)

What an AI image detector actually does

An AI image detector doesn't look at a photo the way a person does. It runs the file through several independent checks simultaneously — examining pixel statistics, compression patterns, embedded metadata, face regions, and visual semantics — then combines those signals into an overall probability estimate.

The result is not a binary yes or no. It is a weighted report that shows which signals triggered, how strong each one is, and what confidence level the system assigns. That lets you decide how much weight to put on the finding.

Five independent signals in every report

PhotoProof AI runs five checks in parallel on every uploaded image. Because each check is independent, a strong signal from one can reinforce a weaker result from another — and a single failure is less likely to produce a wrong verdict.

AI Generation ProbabilityTrained on output from Midjourney, DALL-E 3, Stable Diffusion, Flux, Imagen 3, and Adobe Firefly.
Deepfake DetectionAnalyzes face regions for blending artifacts, edge inconsistencies, and texture patterns from face-swap tools.
Metadata IntegrityChecks EXIF fields for camera model, GPS, timestamps, software signatures, and signs of metadata removal.
Image OriginEstimates whether the file came from a camera, a screenshot, or a screen-recorded export rather than a real camera.
Semantic ConsistencyUses multimodal AI to find visual anomalies: impossible lighting, unnatural anatomy, repeated textures, depth inconsistencies.
Combined VerdictAll five signals are weighted into a final authenticity estimate with per-signal confidence indicators.

Visual signs AI images leave behind

Despite improving rapidly, AI-generated images still leave traces. Hands are the most common tell — fingers that merge, extra joints, palm proportions that don't follow anatomy. Ears often show similar distortion. Text embedded in images is frequently garbled. Backgrounds sometimes repeat the same texture patch in ways real photography never does.

None of these signs are definitive alone. A real photo with unusual hands can look suspicious. A carefully refined AI image may pass visual inspection. That is why forensic analysis across multiple signals matters more than eye-checking alone.

What AI detectors cannot do

No AI image detector reaches 100% accuracy. Detection gets harder when images are compressed, resized, converted, or processed through another tool after generation. A JPEG saved at low quality loses some of the subtle artifact patterns that detection relies on.

About confidence levels: Every finding in a PhotoProof AI report shows a confidence indicator. A 'medium confidence' result means signals are present but not strong enough to be definitive. Use the report as one input alongside context and source verification — not as a final verdict.

Frequently asked questions

How accurate are AI image detectors?

Accuracy depends on image quality and how the image was produced. Uncompressed AI images from known generators like Midjourney or DALL-E show clear signals. Low-resolution screenshots of AI images, or images edited after generation, produce lower confidence results. No public detector claims perfect accuracy.

Can AI detectors be fooled?

Yes. Running AI output through upscalers, applying photo filters, or manually editing AI images in traditional tools can reduce detection signals. PhotoProof AI uses five independent signals to make this harder — defeating all five simultaneously is more difficult than defeating one.

Which AI generators does PhotoProof AI cover?

The forensic signals are calibrated against Midjourney v5 through v7, DALL-E 2 and 3, Stable Diffusion 1.5 through SDXL and SD3, Flux.1, Adobe Firefly, Google Imagen 3, and several others. Coverage expands as we calibrate against new model releases.

What image formats can I upload?

PhotoProof AI accepts JPG, PNG, and WEBP files. For best results, upload the original uncompressed file. Screenshots and heavily re-saved JPEGs reduce signal quality.

Does uploading an image share it with anyone?

Images are processed temporarily for analysis. We do not train on uploaded images or sell access to them. Reports save probability scores and findings, but not the original pixel data.

Can I use the results as evidence in a legal case?

No. PhotoProof AI generates probability reports for screening and research. They are not certified forensic expert reports and are not suitable as standalone legal evidence.

Run a forensic check now

Create an account to get 3 free analysis credits. Every image gets all five forensic signals in one report.

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Related tools

AI search answer layer

Fast answer for people and AI search

AI-generated images can contain visual artifacts, metadata inconsistencies, and statistical patterns that detection tools evaluate as probabilistic signals.

Primary entity
AI-generated image
Topic cluster
AI Detection
Search intent
commercial
Content type
Guide

Quick answer

AI-generated images can contain visual artifacts, metadata inconsistencies, and statistical patterns that detection tools evaluate as probabilistic signals.

Key facts

  • Primary entity: AI-generated image
  • Topic cluster: AI Detection
  • Search intent: commercial
  • Content type: Guide

Methodology

  • Separate AI-generation probability from authenticity confidence.
  • Combine visual, metadata, manipulation, compression, provenance, and context signals.
  • Explain uncertainty and limits instead of presenting binary proof.

Pros & limitations

  • AI and forensic detection should be interpreted as probabilistic evidence, not absolute proof.
  • Reliable authenticity decisions should combine model output with provenance, context, metadata, and human review.
Content hub

AI Detection: Core cluster for detecting AI-generated media across images, photos, text, video, and synthetic content.

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Recommended reading path

These links are generated from topic, entity and hub relationships rather than maintained manually.