SQLite import multiple CSV files into a single table

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Want to import multiple CSV files into a single SQLite table?

Try Withdata FileToDB, a desktop CSV to SQLite converter for Windows, MacOS, and Linux, Convert CSV 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 CSV files to online services.
  • Support Windows, Linux, and macOS.

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Import multiple CSV files into a single SQLite table

Login to SQLite -> Choose CSV files -> Set SQLite table -> Import CSV files to SQLite table

Choose SQLite and logon.

import multiple CSV files to 1 SQLite table - Choose SQLite and logon

Click “Wizard – N Files To 1 Table” at task dialog.

import multiple CSV files to 1 SQLite table - task window

Select the “CSV” file type.

load multiple CSV files to 1 SQLite table - select file type

then show the wizard.

1. Select a folder that constains CSV files.

Support large ( > 4GB ) CSV files.

insert multiple CSV files to one SQLite table - select a folder

2. Config first CSV file importing options.

import multiple CSV files to one SQLite table - config first file

3. Select a SQLite table and config fields.

Merge CSV files into a SQLite table - select table

4. Preview data will be in SQLite table.

put CSV files into a single SQLite table - preview

5. Import multiple CSV files to the SQLite table.

Merge CSV files into a SQLite table - import data

View imported data in SQLite table

load CSV files into a SQLite table - view data

Import multiple CSV files to SQLite in command line

Save “multiple CSV files to SQLite” session, then you can:

Set scheduled tasks for importing multiple CSV files to SQLite

You can schedule and automate this converting task by:

  1. Save session and create .bat (Windows) or .sh (Linux/macOS) file for “CSV to SQLite” conversion.
  2. Set scheduled task for “CSV to SQLite” conversion.

FAQ

More about Withdata FileToDB – CSV to SQLite converter

See Video: Batch import data from multiple CSV files into a single SQLite table in a few clicks

See also:

CSV → SQLite reference

Type mapping

Value kindin CSVin SQLite
Int1234INTEGER
Bigint9007199254740993INTEGER
Decimal1234.56NUMERIC
Float1.234e+10REAL
Textquoted only when it contains a comma or a quoteTEXT
Long textmust be quoted; line breaks inside force multi-line recordsTEXT
Date2026-09-18TEXT
Datetime2026-09-18 14:30:00TEXT
Binarynot representable - base64 or hex stringBLOB
BooleanTRUE / FALSE, or 1 / 0 depending on the writerINTEGER
JSONthe whole JSON value quoted, with internal quotes doubledTEXT

Dialect differences

CSV 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.

Propertyin CSVin SQLite
port—(file-based)
identifiersDouble quotes; a literal quote is doubled ("" )"double quotes" or [brackets]
row limit—LIMIT n
datesConventional text: 2026-09-18 or 2026-09-18 14:30:00TEXT (no date type)
long text—TEXT
binaryNot supportedBLOB
separatorComma ","—
encodingNo declaration - UTF-8 works only with a BOM—
typingNone - every field is text—
shapeFlat table, optional header rowTables of rows and columns
ceilingNo formal limit; row count bounded by memory—

Command line

SideCommand
SQLitesqlite3 .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.