How AI Image Detectors Work—and What Confidence Scores Mean
AI image detectors compare learned visual patterns, but their confidence scores are probabilistic signals—not proof. Learn how the systems work and how to read a result responsibly.
detector.guru blog
Understand image authenticity with evidence, not certainty.
Research, practical workflows, and product updates for using probabilistic AI-image detection responsibly.
Why AI Image Detectors Give Different Results (and What to Do)
Different training data, signals, thresholds, and file processing can produce different AI-image verdicts. Here is how to interpret the split and decide what to check next.
detector.guru 1.2.0: Deep Analysis with two-model evidence
Deep Analysis is now live with two complementary model results, a combined AI-likelihood score, saved evidence, and a one-credit upgrade path from Standard.
How to Tell If an Image Is AI-Generated: Signs and a Verification Workflow
Learn how to evaluate visual clues, source history, reverse image search, metadata, Content Credentials, watermarks, and detector scores without treating any single signal as proof.
detector.guru 1.1.0: the Blog is here
A quick detector.guru update introducing the new Blog for product news, practical guides, and clear articles about AI image detection.
detector.guru 1.0.0: what we shipped
A grounded look at the first detector.guru release: public image analysis, account handoff, multi-image workflows, history, credits, and responsible interpretation.