find-the-original-imagelisted

# Find the original image The goal is almost never "find a match". It is **find the earliest publication and read its page**. A match tells you the image exists elsewhere; the earliest page tells you the photographer, the date, the caption, and the names — which is what you actually pivot on. The beginner mistake: uploading the full frame to one engine, getting nothing, and concluding the image is unindexed. Cropping to one distinctive object and re-searching finds things full-frame search cannot. ## Pick your engine by what you are holding | You have | Start with | Why | |---|---|---| | A face | Yandex | Its index is built around facial similarity, so it returns different people who look alike *and* the same person in other photographs. No other general engine does this. | | A face, and Yandex fails | A dedicated face engine (see below) | Only after you have cleared the legal and consent questions. | | A street scene outside North America / Western Europe | Yandex | Deeply indexed Russian, Central Asian, Eastern European, Turkish and Chinese web content that Google under-crawls. | | A product, book cover, artwork, plant, animal | Google Lens | Object and entity recognition, tied to Shopping and Knowledge Graph. | | Text inside the image | Google Lens | It OCRs the frame and lets you search the extracted string. Often the text is the answer and the image search is irrelevant. | | A landmark or a well-known building | Google Lens | Landmark classification is its strongest