What problem does it solve? When you encounter a photo online, you often cannot tell where it came from, who published it first, or whether it is a recycled, stock, or stolen image. This Skill runs a disciplined reverse image search workflow across Yandex, Google Lens, Bing Visual Search, TinEye, and Baidu to establish provenance instead of settling for a superficial match. ## Core Features & Use Cases - Engine selection guidance: Matches the right search engine to your input type, such as Yandex for faces and Eastern European scenes, Google Lens for objects and landmarks, and TinEye for oldest-copy sorting. - Crop-and-retry methodology: Provides preprocessing recipes (crop, mirror, upscale, denoise, OCR, video keyframe extraction) using ImageMagick and FFmpeg to surface matches that full-frame searches miss. - Provenance hardening: Corroborates earliest-publication claims with archive captures, resolution comparison, and stock library checks, with explicit confidence grading from confirmed to unconfirmed. - Use Case: A viral photo claims to show a current event. You crop the storefront sign, OCR the text, re-search in Yandex, and find a news gallery from three years earlier in another country, proving the image was recontextualized. ## Quick Start Use the find-the-original-image skill to reverse search this photo and determine where it was first published.
