This is the Linux app named DocWire DocToText whose latest release can be downloaded as doctotext-5.0.9-msvc.zip. It can be run online in the free hosting provider OnWorks for workstations.
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DocWire DocToText
DESCRIPTION:
DocWire's DocToText - 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)
Available under GNU General Public License version 2.0 (GPLv2) and commercial licensing.
Features
- Ability to extract/import and export text, images, formatting and metadata along with annotations
- Data can be transformed between import and export (filtering, aggregating etc)
- Equipped with multiple importers
- Equipped with multiple exporters
- Equipped with a high grade, scriptable and trainable OCR that has LSTM neural networks based character recognition
- Incremental parsing returning data as soon as they are available
- Cross platform: Linux, Windows, MacOSX (and more is coming)
- Can be embeded in your application (SDK)
- Can be integrated with other data mining and data analytics applications
- Parsing process can be easily designed by connecting objects with pipe | operator into a chain
- Parsing chain elements communication based on Boost Signals
- Custom parsing chain elements can be added (importers, transformers, exporters)
- Small binaries, fast native C++ code
Audience
Advanced End Users, Developers, End Users/Desktop
User interface
Command-line
Programming Language
C++, C
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/doctotext/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.