Optical Chemical-Structure Recognition by ChemInfty Masakazu Suzuki Faculty of Mathematics, Kyushu University, email@example.com Koji Nakagawa Faculty of Mathematics, Kyushu University, firstname.lastname@example.org Akio Fujiyoshi College of Engineering, Ibaraki University email@example.com Summary of Demonstration: We are developing a system, called "ChemInfty," to convert chemical-formula images into computer-searchable formats. The development of ChemInfty is motivated by the necessity of recognizing chemical-structure images in published patent applications and chemistry journals to convert them into computer-searchable formats. The system of ChemInfty consists of an automatic optical chemical-structure recognition engine and a user interface to correct the recognition results. There are two main features in our system: (1) Robustness against the touching of characters and lines which are often observed in our target chemical structure images, (2) A semi-automatic correction system for recognized results by an inconsistency-driven graph construction algorithm. Our system was already used to construct a large scale ground-truth database of chemical structure images . In the demonstration session, at first the automatic process to convert various chemical-structure image samples into searchable formats will be presented. Then the user interface to correct recognition results will be shown. In addition, a hand-writing chemical-structure input editor that can work on slate devices such as iPad and Android will be also presented. Acknowledgement: This work is supported by "the Adaptable and Seamless Technology Transfer Program" through target-driven R&D, Japan Science and Technology Agency (JST) . References:  http://www.iapr-tc11.org/mediawiki/index.php/Chem-Infty_Dataset:_A_ground-truthed _dataset_of_Chemical_Structure_Images.  http://www.jst.go.jp/EN/.