Want to bulk import JSON files into SQLite tables at one time?
Try Withdata FileToDB, a desktop JSON to SQLite converter for Windows, MacOS, and Linux, Batch import JSON 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.
- Support Windows, Linux, and macOS.
Bulk import JSON files into SQLite tables
Login to SQLite -> Choose JSON files -> Set SQLite tables -> Import JSON files to SQLite tables
Choose SQLite 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 SQLite tables to JSON files.
5. Summary. Set “Convert Rows” and “Skip Rows” if need.
6. Import JSON files to SQLite tables, 1 file to 1 table, one by one.
View imported data in SQLite table
Bulk import JSON files into SQLite tables in command line
Save “bulk JSON files to SQLite tables” session, then you can:
- Bulk import JSON files into SQLite tables in Windows command line.
- Bulk import JSON files into SQLite tables in Linux command line.
- Bulk import JSON files into SQLite tables in macOS command line.
Set scheduled tasks for bulk importing JSON files into SQLite tables
You can schedule and automate this converting task by:
- Save session and create .bat (Windows) or .sh (Linux/macOS) file for “JSON to SQLite” conversion.
- Set scheduled task for “JSON to SQLite” conversion.
FAQ
More about Withdata FileToDB – JSON to SQLite converter
Download Withdata FileToDB
See Video: Convert JSON to SQLite
See also:
JSON → SQLite reference
Type mapping
| Value kind | in JSON | 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 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 | 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.
