Want to import multiple JSON files into a single DBF table?
Try Withdata FileToDB, a desktop JSON to DBF converter for Windows, MacOS, and Linux, Import JSON to DBF, 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 DBF table
Login to DBF -> Choose JSON files -> Set DBF table -> Import JSON files to DBF table
Choose DBF 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 DBF table and config fields.
4. Preview data will be in DBF table.
5. Import multiple JSON files to the DBF table.
View imported data in DBF table
Convert JSON files to DBF in command line
Save “JSON to DBF” session, then you can:
- Import multiple JSON to a single DBF table in Windows command line.
- Import multiple JSON to a single DBF table in Linux command line.
- Import multiple JSON to a single DBF table in macOS command line.
Set scheduled tasks for converting JSON files to DBF
You can schedule and automate this “JSON to DBF” conversion task by:
- Save session and create .bat (Windows) or .sh (Linux/macOS) file for “JSON to DBF” conversion.
- Set scheduled task for “JSON to DBF” conversion.
FAQ
More about Withdata FileToDB – JSON to DBF converter
Download Withdata FileToDB
See also:
JSON → DBF reference
Type mapping
| Value kind | in JSON | in DBF |
|---|---|---|
| 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 DBF 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 DBF |
|---|---|---|
| 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 DBF.
- JSON values of kind Binary have nowhere to go in DBF.
- JSON values of kind JSON have nowhere to go in DBF.
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.
