Real .db file — powered by WebAssembly — no upload

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

Free CSV to SQLite converter. Creates a genuine binary SQLite database file using sql.js — SQLite compiled to WebAssembly. Download the .db and open it in DB Browser, Python, Node.js or any SQLite client. Your data never leaves your device.

Your data never leaves your browser
sql.js WebAssembly engine
Real binary .db output
No account required
Always free
Need the reverse? SQLite to CSV converter
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
 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

  

    

      
1

      

      
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.

    

    

      
2

      

      
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.

    

    

      
3

      

      
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

  
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CSV to SQL
Generate CREATE TABLE and INSERT statements for any SQL database.
CSV to MySQL
Ready-to-run MySQL CREATE TABLE and INSERT with utf8mb4.
MySQL to CSV
Convert mysqldump files and MySQL CLI output to CSV.
CSV to Access
Access SQL and a VBA TransferText macro for your CSV.
SQL to CSV
Turn SQL dumps and INSERT statements into a CSV file.
CSV to PostgreSQL
PostgreSQL CREATE TABLE plus COPY or INSERT from any CSV.
PostgreSQL to CSV
Export pg_dump files and psql output to CSV.
CSV to MongoDB
NDJSON, JSON array or insertMany() for MongoDB from a CSV.
All database converters 

 
  
  
 
  

 
  
  

    

      
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.