Leveraging the extensive database of Semantic Scholar, LitSift provides researchers with a user-friendly graphical interface to efficiently search, filter, and export details of scholarly literature. The project aims to simplify the often complex and time-consuming literature review process by offering an intuitive platform that leverages the benefits of API yet doesn't require coding knowledge.

At its core, LitSift utilises the Semantic Scholar Academic Graph API to fetch up to 1000 results per query. The tool accesses various endpoints, including title, authors, year, citation counts, abstracts, publication, and more. This comprehensive data retrieval gives users a holistic view of each publication. LitSift's interface lets users preview and filter these results using advanced search techniques such as Boolean operators, wildcard matching, and field-specific searches. This functionality empowers researchers to identify the most relevant sources for their work quickly.

One of LitSift's key features is its ability to provide detailed information for each result in an easy-to-read format. Users can double-click on any result to view all available details in a single window. Additionally, when available, LitSift allows users to quickly follow direct links to open-access PDFs, further enhancing the accessibility of academic literature. The tool also offers flexible export options, allowing users to save filtered or selected results in BibTeX or CSV formats, which can be integrated easily into reference management software or reviewed manually.

LitSift is designed with user experience in mind, featuring a minimal and intuitive interface with both dark and light modes. The open-source project is under the MIT License, encouraging community involvement and improvements.

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