Want to import data from JSON array to SQLite ?
Try Withdata FileToDB, a desktop JSON array to SQLite converter for Windows, MacOS, and Linux, Import JSON array 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 JSON file(s) to online services.
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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
Import data from JSON array to SQLite
Login to SQLite -> Choose JSON array file -> Set SQLite table -> Import JSON array 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 array file.
Support large ( > 4GB ) JSON array file.
Here is the file’s content.
FileToDB will parse JSON array.
2. Select a SQLite table and config fields.
3. Preview data will be in SQLite table.
4. Import JSON array data to SQLite.
View imported data in SQLite table
Convert JSON array to SQLite in command line
Save “JSON array to SQLite” session, then you can:
- Import JSON array to SQLite in Windows command line.
- Import JSON array to SQLite in Linux command line.
- Import JSON array to SQLite in macOS command line.
Set scheduled tasks for converting JSON array to SQLite
You can schedule and automate this “JSON array to SQLite” conversion task by:
- Save session and create .bat (Windows) or .sh (Linux/macOS) file for “JSON array to SQLite” conversion.
- Set scheduled task for “JSON array to SQLite” conversion.
FAQ
More about Withdata FileToDB – JSON Array to SQLite converter
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 Array → SQLite reference
Type mapping
| Value kind | in JSON Array | in SQLite |
|---|---|---|
| Int | 1234 (number) | INTEGER |
| Bigint | 9007199254740993 | INTEGER |
| Decimal | 1234.56 (number) | NUMERIC |
| Float | 1.234e10 (number) | REAL |
| Text | "text" (string) | TEXT |
| Long text | "multi-line\ntext" (escaped newline inside a string) | TEXT |
| Date | "2026-09-18" (string) | TEXT |
| Datetime | "2026-09-18T14:30:00Z" (string) | TEXT |
| Binary | "base64:..." (string) | BLOB |
| Boolean | true / false (boolean) | INTEGER |
| JSON | nested object or array, kept as structure | TEXT |
Dialect differences
JSON Array is a file format and SQLite 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 Array | in SQLite |
|---|---|---|
| port | — | (file-based) |
| identifiers | Double quotes; backslash escapes | "double quotes" or [brackets] |
| row limit | — | LIMIT n |
| dates | No date type: dates arrive as strings and the reader must p... | TEXT (no date type) |
| long text | — | TEXT |
| binary | Not supported natively - base64 inside a string | BLOB |
| 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 | — |
Command line
| Side | Command |
|---|---|
| SQLite | sqlite3 .dump |
| SQLite (load) | .import (sqlite3) |
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.