Withdata Software

Export dBase table to JSON array

Want to export data from dBase table to JSON array?

Try Withdata DBToFile, a dBase to JSON converter for Windows, Linux, and macOS, Export dBase data to JSON, Easy and Fast.

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Linux .deb (For Debian, Ubuntu) 64 bit
Linux .rpm (For Red Hat, Fedora, SUSE) 64 bit
MacOS 64 bit

Export data from dBase table to JSON array

Login to dBase -> Choose dBase table -> Set JSON array file options -> Export dBase to JSON array

Choose dBase and logon.

“Export From Table” for “dBase to JSON array”.

Select JSON file type.

1. Choose dBase table.

2. Set JSON array file options.

3. Set rows options.

4. Export dBase data to JSON array.

After exporting, you can view output JSON array file.


More about dBase to JSON converter

dBase → JSON Array reference

Type mapping

Value kindin dBasein JSON Array
IntNumeric(10,0)1234 (number)
BigintNumeric(19,0)9007199254740993
DecimalNumeric(p,s)1234.56 (number)
FloatFloat1.234e10 (number)
TextCharacter(n)"text" (string)
Long textMemo"multi-line\ntext" (escaped newline inside a string)
DateDate"2026-09-18" (string)
Datetime(none)"2026-09-18T14:30:00Z" (string)
Binary(none)"base64:..." (string)
BooleanLogicaltrue / false (boolean)
JSON(none)nested object or array, kept as structure

Dialect differences

dBase is a database server and JSON Array is a file format, so the gap is wider than a dialect difference - the rows below are where values and structure stop lining up.

Propertyin dBasein JSON Array
port(file-based)—
identifiers—Double quotes; backslash escapes
row limit(driver dependent)—
datesDate (D)No date type: dates arrive as strings and the reader must p...
long textMemo (M)—
binary—Not supported natively - base64 inside a string
separator—Braces and commas
encoding—UTF-8 by definition
typing—string, number, boolean, null, object, array - no date type
shapeTables of rows and columnsNested objects and arrays
ceiling—Whole document is usually parsed into memory

No counterpart

  • JSON Array has no equivalent for Date and time - it has to be flattened or dropped.
  • JSON Array has no equivalent for Binary - it has to be flattened or dropped.
  • JSON Array has no equivalent for JSON - it has to be flattened or dropped.

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