Want to import data from JSON Lines (JSONL / NDJSON / LDJSON) file to FoxBase?
Try Withdata FileToDB, a desktop JSONL to FoxBase converter for Windows, MacOS, and Linux, Import JSON Lines 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 JSONL file(s) to online services.
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
JSON Lines text format (JSONL), also called Newline-delimited JSON (NDJSON), or Line-delimited JSON (LDJSON). JSON Lines files may be saved with the file extension .jsonl, *.ndjson, *.ldjson.
Import data from JSON Lines (JSONL / NDJSON / LDJSON) file to FoxBase
Login to FoxBase -> Choose JSON Lines file -> Set FoxBase table -> Import JSON Lines to FoxBase
Choose FoxBase and logon.
Click “Wizard – 1 File To 1 Table” at task dialog.
Select the “JSON” file type.
then show the wizard.
1. Open a JSON Lines (JSONL / NDJSON / LDJSON) file.
Support large ( > 4GB ) JSON Lines file.
Here is the file’s content.
FileToDB will parse JSON Lines file.
2. Select a FoxBase table and config fields.
3. Preview data will be in FoxBase table.
4. Import JSON Lines data to FoxBase.
View imported data in FoxBase table
Convert JSON Lines (JSONL / NDJSON / LDJSON) to FoxBase in command line
Save “JSON Lines to FoxBase” session, then you can:
- Import JSON Lines (JSONL / NDJSON / LDJSON) to FoxBase in Windows command line.
- Import JSON Lines (JSONL / NDJSON / LDJSON) to FoxBase in Linux command line.
- Import JSON Lines (JSONL / NDJSON / LDJSON) to FoxBase in macOS command line.
Set scheduled tasks for converting JSON Lines (JSONL / NDJSON / LDJSON) to FoxBase
You can schedule and automate this “JSON Lines to FoxBase” conversion task by:
- Save session and create .bat (Windows) or .sh (Linux/macOS) file for “JSON Lines to FoxBase” conversion.
- Set scheduled task for “JSON Lines to FoxBase” conversion.
FAQ
More tools for JSONL / NDJSON / LDJSON.
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
JSON Lines → FoxBase reference
Type mapping
| Value kind | in JSON Lines | 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" | 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 on the same line | (none) |
Dialect differences
JSON Lines 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 Lines | in FoxBase |
|---|---|---|
| port | — | (file-based) |
| identifiers | Double quotes; backslash escapes (a newline inside a string... | — |
| row limit | — | (driver dependent) |
| dates | No date type: dates arrive as strings | Date (D) |
| long text | — | Memo (M) |
| binary | Not supported natively - base64 inside a string | — |
| separator | Newline between records | — |
| encoding | UTF-8 by definition | — |
| typing | Same as JSON, but records cannot nest across lines | — |
| shape | Flat stream | Tables of rows and columns |
| ceiling | Streams, so it scales past what a single JSON document can ... | — |
No counterpart
- JSON Lines values of kind Date and time have nowhere to go in FoxBase.
- JSON Lines values of kind Binary have nowhere to go in FoxBase.
- JSON Lines 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.