Want to bulk import JSON files into dBase tables at one time?
Try Withdata FileToDB, a desktop JSON to dBase converter for Windows, MacOS, and Linux, Batch 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.
Bulk import JSON files into dBase tables
Login to dBase -> Choose JSON files -> Set dBase tables -> Import JSON files to dBase tables
Choose dBase and logon.
Click “Wizard – N Files To N Tables” at task dialog.
Select the “JSON” file type.
then show the wizard.
1. Select a folder that constains JSON files.
2. Config first JSON file importing options.
3. Set “Import Type”.
4. Map dBase tables to JSON files.
5. Summary. Set “Convert Rows” and “Skip Rows” if need.
6. Import JSON files to dBase tables, 1 file to 1 table, one by one.
View imported data in dBase table
Bulk import JSON files into dBase tables in command line
Save “bulk JSON files to dBase tables” session, then you can:
- Bulk import JSON files into dBase tables in Windows command line.
- Bulk import JSON files into dBase tables in Linux command line.
- Bulk import JSON files into dBase tables in macOS command line.
Set scheduled tasks for bulk importing JSON files into dBase tables
You can schedule and automate this converting 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
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
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.
