Check if an image was generated by AI.

What Img ID checks

Modern image generators can create realistic portraits, product shots, memes, news-like photos, screenshots, and illustrations. A useful AI image detector needs to inspect more than one clue. Img ID combines visual analysis with OCR, component detection, and metadata review so the result is easier to audit.

• Visual artifacts such as warped hands, inconsistent shadows, fused objects, and unnatural textures.
• Text artifacts such as garbled signs, broken labels, fake watermarks, and odd UI copy.
• Provenance signals such as EXIF camera data, missing metadata, or C2PA-style hints.
• Context clues such as impossible reflections, repeated background faces, and fake camera depth.

How to read the result

The verdict is a probability-style assessment, not courtroom proof. A result like "likely AI" means the image contains several signals associated with generated content. A result like "likely real" means the tool found stronger photographic signals and fewer generation artifacts. Screenshots, compressed social images, edited photos, and reposted images can remove metadata, so the explanation matters more than one score.

Best use cases

Use Img ID for social posts, marketplace listings, dating profiles, screenshots, viral images, suspicious ads, school assignments, newsroom triage, and creator workflows where you need quick image authenticity context.

Why AI image detection is not perfect

AI detectors can make mistakes because real photos can be edited, compressed, upscaled, or stripped of metadata. Generated images can also include convincing camera data or be mixed with real photos. Img ID is built to show reasons so you can compare the verdict against visible evidence. For serious decisions, use multiple signals: source reputation, reverse image search, original file metadata, visual inspection, and direct confirmation from the publisher.