![]() This converter relies on large machine learning models which are downloaded when the converter is first used. The pre-built jars are included in this project because recent versions are no longer available in standard repositories (e.g., maven central). Science Parse is a Scala library that parses scientific papers. See the README.md file for configuration details. It is started as an external process to perform the conversion. This executable program needs to be installed on the local computer and accessible via the operating system $PATH so that the pdftotext command can run. Furthermore, pdfminer needs to have been installed in advance, possibly with pip install pdfminer. ![]() It gets run as an external process using the python3 command which must be available on the $PATH. This Python project is further wrapped in Python code included as a resource with this project. This converter does not do well on any but the simplest pages, but it is able to process images embedded in PDFs. See the subproject's README.md for details. It depends on both of these programs having been installed in advance and being available on the $PATH if default settings are used. This converter is a combination of Ghostscript for conversion of PDF to images and Tesseract for conversion of images to text. Some converters work locally, with no network connection needed, while others depend on remote servers to perform the conversion. The PDF converters are divided into two categories. Startup is significantly quicker than when it runs via sbt. The main Pdf2txtApp can be run directly from the pre-built jar file. LibraryDependencies + = "org.clulab " %% "pdf2txt " % "1.1.2 " Executable ![]()
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