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Batch export dBase tables to JSON files

Want to batch export data from dBase tables to JSON files?

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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MacOS 64 bit

Batch export data from dBase tables to JSON files

Login to dBase -> Select dBase tables -> Set JSON file options -> Export dBase tables to JSON

Choose dBase and logon.

Click “Export All Tables” at task dialog.

Select JSON file type.

1. Select dBase tables to export.

2. Set JSON options.

3. See dBase tables to be exported.

4. Set rows options.

5. Export dBase data to JSON files.

After exporting, you can view output JSON files.


More about dBase to JSON converter

See also:

dBase → JSON reference

Type mapping

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

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