Convert DWF to FODS via Java

What is DWF file format?

DWF (Design Web Format) is a file format used for sharing 2D and 3D design data. It is developed by Autodesk and is used to transfer design data to other applications or users without losing the quality or complexity of the original design. DWF is a compact file format which allows users to quickly and easily share designs without having to worry about large file sizes. DWFs can also be easily viewed, shared and printed without the need for additional software. DWF files are widely used in the engineering, architecture and construction industries to reduce the risk associated with file corruption and data loss.

What is FODS file format?

The FODS file format (Form Of Data Storage) is an open-source binary file format, developed mainly for storing and managing scientific data. Its purpose is to facilitate the exchange of scientific data between different systems, to maintain the integrity of the data and to make it more efficient to store and analyze.

FODS is based on a series of standardized file formats, which allow different scientific data (including images, audio, video, and other data types) to be stored in a single file. This allows for an efficient exchange of data between computers and scientific researchers. FODS is also used for archival storage. It is a well-defined storage format with a number of advantages. It uses a universally recognized encoding system, making it easier for different systems to communicate with each other. The file structure is also designed to be compact, meaning that large datasets can be stored on a single disk. It also supports a wide range of compression algorithms, which reduce the size of the file while maintaining the accuracy of the data. FODS is an open-source file format, meaning it has been made available to the public for use. Many programs and software libraries are available that can read and write FODS files, meaning it is a versatile file format with many applications. It is a great choice for storing large datasets, as it can store large amounts of data while remaining efficient and organized.