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.
- Can run in GUI mode, Step by Step, just a few mouse clicks.
- Can run in Command line, for Scheduled Tasks and Streams.
- Support Windows, Linux, and macOS.
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
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dBase → JSON Array reference
Type mapping
| Value kind | in dBase | in JSON Array |
|---|---|---|
| Int | Numeric(10,0) | 1234 (number) |
| Bigint | Numeric(19,0) | 9007199254740993 |
| Decimal | Numeric(p,s) | 1234.56 (number) |
| Float | Float | 1.234e10 (number) |
| Text | Character(n) | "text" (string) |
| Long text | Memo | "multi-line\ntext" (escaped newline inside a string) |
| Date | Date | "2026-09-18" (string) |
| Datetime | (none) | "2026-09-18T14:30:00Z" (string) |
| Binary | (none) | "base64:..." (string) |
| Boolean | Logical | true / 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.
| Property | in dBase | in JSON Array |
|---|---|---|
| port | (file-based) | — |
| identifiers | — | Double quotes; backslash escapes |
| row limit | (driver dependent) | — |
| dates | Date (D) | No date type: dates arrive as strings and the reader must p... |
| long text | Memo (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 |
| shape | Tables of rows and columns | Nested 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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