Want to import data from JSON Lines (JSONL / NDJSON / LDJSON) file to SQLite ?
Try Withdata FileToDB, a desktop JSONL to SQLite converter for Windows, MacOS, and Linux, Import JSON Lines to SQLite, 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 SQLite
Login to SQLite -> Choose JSON Lines file -> Set SQLite table -> Import JSON Lines to SQLite
Choose SQLite 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 SQLite table and config fields.
3. Preview data will be in SQLite table.
4. Import JSON Lines data to SQLite.
View imported data in SQLite table
Convert JSON Lines (JSONL / NDJSON / LDJSON) to SQLite in command line
Save “JSON Lines to SQLite” session, then you can:
- Import JSON Lines (JSONL / NDJSON / LDJSON) to SQLite in Windows command line.
- Import JSON Lines (JSONL / NDJSON / LDJSON) to SQLite in Linux command line.
- Import JSON Lines (JSONL / NDJSON / LDJSON) to SQLite in macOS command line.
Set scheduled tasks for converting JSON Lines (JSONL / NDJSON / LDJSON) to SQLite
You can schedule and automate this “JSON Lines to SQLite” conversion task by:
- Save session and create .bat (Windows) or .sh (Linux/macOS) file for “JSON Lines to SQLite” conversion.
- Set scheduled task for “JSON Lines to SQLite” conversion.