Convert MOBI dictionaries to StarDict and TSV formats.
You can get both .NET Desktop and Cli applications from releases. Both programs does not need the intermediary unpacked HTML file and can directly read MOBI dictionary files.
MobiDict.Reader class library is a direct and bare-minimum implementation of KindleUnpack in order to extract dictionary entries. Code for decoding the inflection scheme used in older dictionaries is adapted from libmobi project.
./MobiDict.Cli --help
Usage: [options...] [-h|--help] [--version]
Convert Kindle MOBI dictionaries to TSV and StarDict formats.
Options:
-i, --input <string> MOBI file path [Required]
--tsv Save as TSV (tab-separated-values)
--stardict Save as StarDict
-o, --output-folder <string?> Output folder where the files will be saved [Default: null]
python.exe mobi2stardict.py --help
usage: mobi2stardict.py [-h] [--html-file HTML_FILE] [--fix-links] [--dict-name DICT_NAME] [--author AUTHOR]
[--chunked]
Convert unpacked Kindle MOBI dictionary files (book.html or part00000.html) to Stardict dictionary Format. StarDict
format can be converted to a wide-range of formats directly via PyGlossary. You can unpack MOBI files via
'KindleUnpack' or its Calibre plugin. Alternatively, you can use mobitool from libmobi project.
options:
-h, --help show this help message and exit
--html-file HTML_FILE
Path of the HTML file.
--fix-links Try to convert in-dictionary references to glossary format.
--dict-name DICT_NAME
Name of the dictionary file.
--author AUTHOR Name of the author or publisher.
--chunked Parse html in chunks to reduce memory usage.
You need to install Beautiful Soup, lxml and PyGlossary (pip install pyglossary beautifulsoup4 lxml) packages to run the script.
To convert the unpacked MOBI file to StarDict format you would call the script like this (assuming part00000.html is in the same directory with the script):
python.exe mobi2stardict.py --fix-links --dict-name "Name of the dictionary" --author "Author"
Change name and author accordingly.
Also, while converting particularly large files you may want to pass the --chunked option to bring down the memory usage to more moderate levels. Then the line would become:
python.exe mobi2stardict.py --fix-links --dict-name "Name of the dictionary" --author "Author" --chunked
You may come across some poorly formatted dictionaries that may result in inability to parse definitions.