Reverse image search + AI check

Two questions, two tools

Reverse image search compares a picture with images already published online and shows where copies appear. It is unbeatable for context: who posted it first, when, with what caption, and whether it belongs to a different event. It is weak at origin — a generated image that has never been posted before returns nothing, and so does a genuine private photo.

An AI detector does the opposite. It ignores where an image has been and examines the file and its pixels for traces of how it was made. It cannot tell you that a real photo is being passed off as something else.

Run both. The AI check above takes a few seconds and needs no upload; then use the search engines below.

Where to search

• Google Lens — the largest index; good for objects, landmarks and screenshots of social posts.
• Bing Visual Search — a different index, often finds pages Google misses.
• TinEye — exact-match search with date sorting, ideal for finding the earliest and largest copy.
• Yandex Images — strong on faces and on sites outside Western Europe and North America.

Crop to the interesting part of the picture before searching — a face, a logo, a building — because search engines match crops better than busy whole scenes.

Putting the answers together

Old matches from reputable sources, plus camera metadata in your copy, usually mean a real photo — check that the old caption matches the current claim. No matches, no metadata and a high AI score suggest a generated image. Matches only on AI art communities settle it outright. Conflicting signals call for more context: ask the person who shared it, and look for other images of the same scene.

Searching a profile photo or a meme

For faces, crop tightly to the face before searching; engines match faces poorly when they make up a small part of a busy image. For memes and screenshots, search a crop of the image region rather than the text, and separately search the text in quotes on a regular search engine — the original post often turns up that way. For product photos, search the product itself: a listing that uses a generated product image often has no matches, while a scam that steals a real seller’s photos will match the original listing.

Keep a note of the earliest date you find and where. If the image later turns out to be AI-generated or mis-captioned, that record is exactly what you need to explain why — and, if you are reporting a scam, what platforms and investigators ask for.