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A multifaceted, data extraction software development toolkit that converts all sorts of files to plain text and html. Written in C++, this data extraction tool has a parser able to convert PST & OST files along with a brand new API for better file processing. To enhance its utility, DocToText, as a data extraction tool, can be integrated with other data mining and data analytics applications. It comes equipped with a high grade, scriptable and trainable OCR that has LSTM neural networks based character recognition. This document parser is able to extract metadata along with annotations and supports a list of formats that include: DOC, XLS, XLSB, PPT, RTF, ODF (ODT, ODS, ODP), OOXML (DOCX, XLSX, PPTX), iWork (PAGES, NUMBERS, KEYNOTE), ODFXML (FODP, FODS, FODT), PDF, EML, HTML, Outlook (PST, OST), Image (JPG, JPEG, JFIF, BMP, PNM, PNG, TIFF, WEBP) and DICOM (DCM)
Graph Legend

This page explains how to interpret the graphs that are generated by doxygen.

Consider the following example:

/*! Invisible class because of truncation */
class Invisible { };
/*! Truncated class, inheritance relation is hidden */
class Truncated : public Invisible { };
/* Class not documented with doxygen comments */
class Undocumented { };
/*! Class that is inherited using public inheritance */
class PublicBase : public Truncated { };
/*! A template class */
template<class T> class Templ { };
/*! Class that is inherited using protected inheritance */
class ProtectedBase { };
/*! Class that is inherited using private inheritance */
class PrivateBase { };
/*! Class that is used by the Inherited class */
class Used { };
/*! Super class that inherits a number of other classes */
class Inherited : public PublicBase,
protected ProtectedBase,
private PrivateBase,
public Undocumented,
public Templ<int>
{
private:
Used *m_usedClass;
};

This will result in the following graph:

The boxes in the above graph have the following meaning:

The arrows have the following meaning: