TinEye is an image search and recognition company. Its MatchEngine builds on the technology used for its Reverse Image Search by allowing practitioners to conduct queries for instances of images placed on other websites. MatchEngine goes beyond Reverse Image Search by offering practitioners the ability to do multiple or batch queries at one time, using APIs to conduct a search. As a fee-based service, MatchEngine will generate an index of all images a practitioner wishes to search, stores this index on its servers, and queries the index in regular intervals depending on the service package purchased by the practitioner.
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. 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.