Want to import multiple JSON files into a single FoxBase table?
Try Withdata FileToDB, a desktop JSON to FoxBase converter for Windows, MacOS, and Linux, Import JSON to FoxBase, 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.
Import multiple JSON files into a single FoxBase table
Login to FoxBase -> Choose JSON files -> Set FoxBase table -> Import JSON files to FoxBase table
Choose FoxBase 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 FoxBase table and config fields.
4. Preview data will be in FoxBase table.
5. Import multiple JSON files to the FoxBase table.
View imported data in FoxBase table
Convert JSON files to FoxBase in command line
Save “JSON to FoxBase” session, then you can:
- Import multiple JSON to a single FoxBase table in Windows command line.
- Import multiple JSON to a single FoxBase table in Linux command line.
- Import multiple JSON to a single FoxBase table in macOS command line.
Set scheduled tasks for converting JSON files to FoxBase
You can schedule and automate this “JSON to FoxBase” conversion task by:
- Save session and create .bat (Windows) or .sh (Linux/macOS) file for “JSON to FoxBase” conversion.
- Set scheduled task for “JSON to FoxBase” conversion.
FAQ
More about Withdata FileToDB – JSON to FoxBase converter
Download Withdata FileToDB
See also:
JSON → FoxBase reference
Type mapping
| Value kind | in JSON | in FoxBase |
|---|---|---|
| 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 FoxBase 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 FoxBase |
|---|---|---|
| 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 FoxBase.
- JSON values of kind Binary have nowhere to go in FoxBase.
- JSON values of kind JSON have nowhere to go in FoxBase.
Convert your data online, free
Free in-browser converters for CSV, Excel, JSON, XML and SQL: Withdata Online Data Conversion. Large files, batch conversion or scheduling? See the offline desktop apps, or browse all data conversion tools.
