Convert DNL to IVT

Understanding dnl and ivt file formats

DNL files are digital publication files created by DNAML eBook software. These files are typically used for eBooks and digital magazines, offering features like DRM protection and interactive content. IVT files, on the other hand, are associated with Beyond 20/20 Table Viewer and are used for multidimensional data tables, often in statistical or analytical contexts.

Why convert dnl to ivt?

Converting a DNL file to an IVT file is an uncommon process, as these formats serve very different purposes. However, if you need to extract tabular data from a DNL eBook for analysis in Beyond 20/20 Table Viewer, conversion may be necessary. This typically involves extracting the data from the DNL file and then formatting it for IVT compatibility.

How to convert dnl to ivt

There is no direct converter that transforms DNL files to IVT format due to their distinct uses. The process generally involves two main steps:

1. Extract data from the DNL file: Use DNAML Reader or DNL eBook Reader to open the DNL file. If the content is selectable, copy the relevant tables or data. Alternatively, use a PDF printer (such as Adobe PDF or doPDF) to print the DNL content to a PDF, then extract tables using a PDF table extraction tool like Tabula or Adobe Acrobat.
2. Convert extracted data to IVT: Once you have the data in a spreadsheet (CSV or Excel), use Beyond 20/20 Professional Browser to import the data. In the software, go to File → Import and select your CSV or Excel file. Then, save the imported data as an IVT file using File → Save As and choose the IVT format.

Recommended software for conversion

• DNAML Reader or DNL eBook Reader (for opening DNL files)
• Tabula or Adobe Acrobat (for extracting tables from PDFs)
• Beyond 20/20 Professional Browser (for creating IVT files from tabular data)

Summary

While there is no direct DNL to IVT converter, you can extract data from DNL files and import it into Beyond 20/20 to create IVT files. This process requires several steps and the use of multiple software tools, but it is achievable with careful data handling.