i18ncsv2json

i18n csv file to json convetor.

Expect one or more csv file with following structure:

key	en	de
about	about here	etwa hier
home	homepage	Startseite

Execute following command:

i18ncsv2json tools.csv

Then will generate 2 files, one is tools.en.json:

{
  "about": "about here",
  "home": "homepage"
}

And one is tools.de.json:

{
  "about": "etwa hier",
  "home": "Startseite"
}

Working with multiple files

Multiple files can be provided as arguments.

Execute following command:

i18ncsv2json tools.csv file.csv

Will generate 4 files:

• tools.en.json
• tools.de.json
• file.en.json
• file.de.json

Wildcard can also be used in path

i18ncsv2json *.csv

Output for the same language can be merge together into a single file with the merge option.

Execute following command:

i18ncsv2json tools.csv file.csv --merge

Will generate 2 files:

• en.json
• de.json

Field delimiter

If you are working with English locale, the field delimiter in csv files is the , character. But for other locales (e.g. french) the ; character is used. You can adapt the csv field delimiter with the fieldDelimiter option.

Example command to use semicolon:

 i18ncsv2json directory -f ";"

Encoding

It is possible to choose the encodings (for source csv files and output json files). This can typically be usefull when managing the csv files via excel which by default saves the file in windows specific encoding and not utf-8. Default output encoding is utf8.

Example command to use read csv file with Windows encoding and output it in utf16 :

 i18ncsv2json directory -r latin1 -w utf16

Usage

i18ncsv2json [options] <files  ...>

Options:

Short flag	Flag	Description
-h	--help	output usage information
-V	--version	output the version number
-p	--path [value]	output path
-d	--delimeter [value]	delimeter between filename and lang
-t	--transpose	transpose input csv file
-f	--fieldDelimiter [value]	delimiter between fields
-r	--readEncoding [value]	encoding to use to read files
-w	--writeEncoding [value]	encoding to use to write files
-m	--merge	merge all csv files into a single json file