Want to import multiple JSON files into a single dBase table?
Try Withdata FileToDB, a desktop JSON to dBase converter for Windows, MacOS, and Linux, Import JSON to dBase, 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.
- Convert locally and privately, avoid uploading large or private JSON file(s) to online services.
- Support Windows, Linux, and macOS.
Download Withdata FileToDB
Windows 64 bit
Windows 32 bit
Linux .deb (For Debian, Ubuntu) 64 bit
Linux .rpm (For Red Hat, Fedora, SUSE) 64 bit
MacOS 64 bit
Import multiple JSON files into a single dBase table
Login to dBase -> Choose JSON files -> Set dBase table -> Import JSON files to dBase table
Choose dBase and logon.
Click “Wizard – N Files To 1 Table” at task dialog.
Select the “JSON” file type.
then show the wizard.
1. Select a folder that constains JSON files.
Support large ( > 4GB ) JSON file.
2. Config first JSON file importing options.
3. Select a dBase table and config fields.
4. Preview data will be in dBase table.
5. Import multiple JSON files to the dBase table.
View imported data in dBase table
Convert JSON files to dBase in command line
Save “JSON to dBase” session, then you can:
- Import multiple JSON to a single dBase table in Windows command line.
- Import multiple JSON to a single dBase table in Linux command line.
- Import multiple JSON to a single dBase table in macOS command line.
Set scheduled tasks for converting JSON files to dBase
You can schedule and automate this “JSON to dBase” conversion task by:
- Save session and create .bat (Windows) or .sh (Linux/macOS) file for “JSON to dBase” conversion.
- Set scheduled task for “JSON to dBase” conversion.
FAQ
More about Withdata FileToDB – JSON to dBase converter
Download Withdata FileToDB
Windows 64 bit
Windows 32 bit
Linux .deb (For Debian, Ubuntu) 64 bit
Linux .rpm (For Red Hat, Fedora, SUSE) 64 bit
MacOS 64 bit
See also:
JSON → dBase reference
Type mapping
| Value kind | in JSON | in dBase |
|---|---|---|
| Int | 1234 (number) | Numeric(10,0) |
| Bigint | 9007199254740993 | Numeric(19,0) |
| Decimal | 1234.56 (number) | Numeric(p,s) |
| Float | 1.234e10 (number) | Float |
| Text | "text" (string) | Character(n) |
| Long text | "multi-line\ntext" (escaped newline inside a string) | Memo |
| Date | "2026-09-18" (string) | Date |
| Datetime | "2026-09-18T14:30:00Z" (string) | (none) |
| Binary | "base64:..." (string) | (none) |
| Boolean | true / false (boolean) | Logical |
| JSON | nested object or array, kept as structure | (none) |
Dialect differences
JSON is a file format and dBase is a database server, so the target has to be told the types the file never carried - the rows below are where the two sides diverge.
| Property | in JSON | in dBase |
|---|---|---|
| port | — | (file-based) |
| identifiers | Double quotes; backslash escapes | — |
| row limit | — | (driver dependent) |
| dates | No date type: dates arrive as strings and the reader must p... | Date (D) |
| 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 | Nested objects and arrays | Tables of rows and columns |
| ceiling | Whole document is usually parsed into memory | — |
No counterpart
- JSON values of kind Date and time have nowhere to go in dBase.
- JSON values of kind Binary have nowhere to go in dBase.
- JSON values of kind JSON have nowhere to go in dBase.
Convert your data online, free
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