Convert CSV to SQLite

Convert CSV to SQLite script with live preview, table name support, value quoting, column typing, and export. Fully browser-based and easy to use.

Paste your input above or import a file below.
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Supported file types: .txt, .csv
Total characters: 0
Options
Quote strings
Trim fields
Add column types

How to Use:

  • Paste your CSV content into the CSV Input box or click Choose File to upload a .csv or .txt file.
  • The tool reads your data, converts it into CREATE TABLE and INSERT INTO SQL statements, and shows the result live in the SQLite Output area.
  • Use the Options section to customize the generated SQL:
    • Table name: Set the name of your SQLite table. Defaults to my_table.
    • Quote strings: Wrap non-numeric values in single quotes (like 'New York').
    • Trim fields: Remove leading and trailing spaces from all cell values.
    • Add column types: Adds TEXT type to all columns in the CREATE TABLE statement.
  • Output updates live with each change or file import.
  • Below the output is a live Total characters counter.
  • Use Copy Output to copy the SQL to your clipboard.
  • Use Export to File to download it as a .sql file.
  • Hit Clear All to reset everything inputs, toggles, and file display.

What Convert CSV to SQLite can do:

Convert CSV to SQLite takes tabular data and turns it into SQL commands ready for SQLite execution. It builds a full schema from the headers and inserts each row of data with configurable formatting. You can toggle field trimming, safely quote values, and even auto-assign column types. Ideal for devs migrating CSV files into test databases or prototyping schemas. Everything happens in the browser, making it fast and secure with no upload delays.

Example:

Before:

name,age,city
Alice,30,New York
Bob,25,Los Angeles

After:

CREATE TABLE my_table (
  name TEXT,
  age TEXT,
  city TEXT
);

INSERT INTO my_table VALUES ('Alice', 30, 'New York');
INSERT INTO my_table VALUES ('Bob', 25, 'Los Angeles');

Common Use Cases:

Use this tool when you need to quickly move data from a CSV into a SQLite schema for testing, development, or prototyping. It’s also handy for generating ready-to-run SQL for import tools, APIs, or database migration scripts.

Useful Tools & Suggestions:

Before importing into SQLite, use Analyze CSV to make sure your data types look consistent. And after conversion, try Convert SQLite to CSV if you ever need to pull that data back out.

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