Algorithms are used to developing, analysing, and applying in computer field and used for developing new application. It is used for finding solutions to any problems in different condition. It transforms the problems into algorithmic ones on which standard algorithms are applied. Day by day Scholarly Digital documents are increasing. AlgorithmSeer is a search engine used for searching algorithms. The main aim of it providing a large algorithm database. It is used to automatically encounter and take these algorithms in this big collection of documents that enable algorithm indexing, searching, discovery and analysis. An original set to identify and pull out algorithm representations in a big collection of scholarly documents is proposed, of scale able techniques used by AlgorithmSeer. Along with this, particularly important and relevant textual content can be accessed the platform and highlight portions by anyone with different levels of knowledge. In support of lectures and self-learning, the highlighted documents can be shared with others. However, different levels of learners cannot use the highlighted part of text at same understanding level. We can solve the problem of guessing new highlights of partially highlighted documents.