sql.js is SQLite compiled to WebAssembly using Emscripten. It allows running a full SQLite database engine in any modern web browser without server-side processing. CSVShift uses sql.js to create real binary .db files entirely in your browser.

Convert CSV to SQLite — Create .db Files

Q: How do I convert CSV to SQLite?

Upload your CSV to CSVShift, set the table name and options, and click Convert. The tool uses sql.js (SQLite compiled to WebAssembly) to create a real .db binary database file in your browser. Download it and open with DB Browser for SQLite, Python, or any SQLite client.

Q: How do I import CSV into SQLite?

Three methods: 1) Use the sqlite3 CLI: .mode csv then .import file.csv table_name. 2) Use CSVShift to create the .db file directly in your browser. 3) In Python: pandas df.to_sql('table', sqlite3.connect('db.sqlite'), if_exists='replace').

CSV to SQLite Converter WebAssembly

Uses sql.js — SQLite compiled to WebAssembly. The .db file is created entirely in your browser. No data is uploaded.

Drop your CSV file here

.csv, .txt or .tsv — creates a real SQLite .db file

Table name

Primary key

Column types

SQLite database ready

How to open the downloaded .db file

Tools that open SQLite databases — choose what fits your workflow.

DB Browser for SQLite

Free GUI for SQLite. Open the .db file, browse rows, run queries. Available at sqlitebrowser.org for Windows, Mac and Linux.

Python (sqlite3)

import sqlite3; conn = sqlite3.connect('file.db'); df = pd.read_sql('SELECT * FROM data', conn)

Node.js (better-sqlite3)

const db = require('better-sqlite3')('file.db'); db.prepare('SELECT * FROM data').all()

sqlite3 CLI

sqlite3 file.db ".headers on" ".mode csv" "SELECT * FROM data;"

DBeaver

Free universal database client. Supports SQLite — create a new SQLite connection pointing to the .db file.

iOS / Android

Apps like SQLiteViewer (iOS) and SQLite Viewer (Android) open .db files from cloud storage on mobile.

Native SQLite CSV import — command line

sqlite3 CLI — direct .import command

sqlite3 output.db .mode csv .headers on .import data.csv my_table

Creates the table automatically from the CSV headers. Fastest method for large files.

Python — pandas + sqlite3

import pandas as pd, sqlite3 df = pd.read_csv('data.csv') conn = sqlite3.connect('output.db') df.to_sql('my_table', conn, if_exists='replace', index=False) conn.close()

Uses pandas for CSV parsing and sqlite3 for the database. Infers column types automatically.

How the conversion works

sql.js initialises SQLite in WASM

CSVShift loads sql.js — SQLite compiled to WebAssembly. This gives you the full SQLite engine running inside your browser tab, identical to the native sqlite3 binary but without any server.

CREATE TABLE + batch INSERT

CSVShift infers SQLite types (INTEGER, REAL, TEXT), creates the table, then inserts rows in batches of 500 using prepared statements — the fastest and safest SQLite insertion pattern.

Export as binary .db file

The in-memory database is exported using db.export() and wrapped in a Blob for download. The result is a genuine SQLite 3 database file identical to one produced by the native sqlite3 CLI.

When do you need CSV to SQLite?

Mobile app development

iOS and Android apps use SQLite as their local database. Converting a CSV dataset to a .db file produces a pre-populated database that ships with the app — contacts, product catalogs, reference tables.

Data analysis with SQL

Analysts who prefer SQL over pandas convert CSV datasets to SQLite for ad-hoc querying. Tools like DB Browser and Datasette make SQLite a lightweight alternative to a full database server.

Offline and embedded apps

Desktop apps, CLI tools and embedded systems that need a portable database use SQLite. Converting CSV to .db produces a ready-to-ship database file for distribution with the application.

Datasette and data publishing

Datasette turns SQLite databases into browsable web APIs. Converting a CSV to .db and loading into Datasette is the fastest way to publish tabular data as a searchable, filterable web interface.

Related CSV tools

Real SQLite engine
in your browser. No server.

CSVShift uses sql.js — SQLite compiled to WebAssembly. This is the same SQLite engine that runs in Firefox, Chrome and billions of mobile devices, compiled to run in a browser tab. Your CSV data never leaves your device — the entire database is created in memory and exported as a binary file.

SQLite 3 via WebAssembly

The complete SQLite engine — not a partial implementation. All SQLite features work in the resulting .db file.

Prepared statements

Rows inserted using prepared statements in batches of 500 — fast and safe even for large CSV files.

Binary .db output

Not SQL INSERT scripts — a real binary SQLite database file that opens in DB Browser, Python, Node.js and mobile apps.

Free, no conditions

No row limit, no file size cap, no watermark. Funded by display advertising only.

Frequently asked questions

How do I convert CSV to SQLite?

Upload your CSV, set the table name and click Convert. CSVShift uses sql.js to create a real .db database file in your browser. Download it and open in DB Browser for SQLite, Python, or any SQLite client.

How do I import CSV into SQLite?

Three methods: 1) Use this tool. 2) sqlite3 CLI: sqlite3 db.sqlite ".mode csv" ".import file.csv table". 3) Python: df.to_sql('table', sqlite3.connect('db.sqlite'), if_exists='replace', index=False).

How do I open the downloaded .db file?

DB Browser for SQLite (sqlitebrowser.org) is the easiest GUI — free and cross-platform. In Python: import sqlite3; conn = sqlite3.connect('file.db'). In the terminal: sqlite3 file.db ".tables".

Is my data safe when converting CSV to SQLite online?

Yes. The entire process runs in your browser using WebAssembly. Your file is never uploaded to any server.

Convert CSV to SQLiteA real .db file,in your browser.

Real SQLite enginein your browser. No server.

Convert CSV to SQLite
A real .db file,
in your browser.

Real SQLite engine
in your browser. No server.