Google Reverse Image Search queries webpages for instances of an image. To complete a search, a user can select a file from their local computer (even dragging and dropping the image into the search box), enter the URL to the image file already on the web, or search using text for an image already on a website. Google Reverse Image Search returns results in a search engine results format, including the website title, image resolution size, image thumbnail, and a brief description of the website.
Practitioners should follow the practices laid out in the “Ethical considerations and guidelines for the assessment of use and reuse of digital content.” The Guidelines are meant both to inform practitioners in their decision-making, and to model for users what they can expect from those who steward digital collections.
Other reverse image search engines operate in similar ways: a practitioner submits an image to the search engine and it displays a list of results. No free reverse image search tools allow users to do batch queries of multiple images (see TinEye MatchEngine for a paid service that offers batch querying). Limited comparisons among reverse image search tool features and functions suggest that Google Image Search has a larger index in which to query. This can translate into a more diverse set of results.
Adrakatti, A. F., Wodeyar, R. S., & Mulla, K. R. (2016). Search by image: a novel approach to content based image retrieval system. International Journal of Library Science, 14(3), 41-47.