Private SQL script generator

CSV to SQL Converter

Turn CSV files or pasted CSV data into SQL INSERT statements. Choose MySQL, PostgreSQL, or SQLite, customize your table name, and optionally generate CREATE TABLE SQL. Free and processed locally in your browser.

Browser only CSV/TSV/TXT INSERT + CREATE TABLE
Converter

Convert CSV to SQL Online

Browser only

CSV Input

SQL Output

Private by design

Your CSV never leaves this tab

Your CSV is converted to SQL in your browser, without uploading it.

Processed locally

Your CSV file is read and converted right here in this browser tab.

No account required

No account, email address, or payment details required.

Your data stays on your device

Copy or download the SQL script without sending your CSV to our servers.

No upload: your file is converted in this tab. We do not receive your file name or file content.
Three steps

How to Convert CSV to SQL

This page generates a SQL script you can run in your database client. It does not connect to a database or import rows for you. If you need a spreadsheet instead, use the CSV to Excel Converter.

1

Paste or upload CSV data

Paste CSV text or choose a .csv, .tsv, or .txt file from your device. The file is read locally in your browser.

2

Choose your SQL dialect and table name

Select MySQL, PostgreSQL, or SQLite, set the table name, and decide whether to include CREATE TABLE.

3

Copy or download SQL

Preview the generated script, then copy the SQL or download a .sql file to run in your client.

Example

CSV to SQL INSERT Statements Example

By default every value stays text, so IDs like 001 keep leading zeros. Single quotes inside values are escaped for the selected dialect — for PostgreSQL, O'Brien becomes O''Brien.

CSV input

id,name,amount
001,O'Brien,19.99
002,Alice,12.50

PostgreSQL SQL output

CREATE TABLE "imported_data" (
  "id" TEXT,
  "name" TEXT,
  "amount" TEXT
);

INSERT INTO "imported_data" ("id", "name", "amount") VALUES
  ('001', 'O''Brien', '19.99'),
  ('002', 'Alice', '12.50');
Schema

Generate CREATE TABLE from CSV

Enable Include CREATE TABLE to add a CREATE TABLE statement using your CSV column names before the INSERT statements. With Detect column types off (the default), every column is TEXT. Turn type detection on only when you want INTEGER, REAL/DOUBLE, or BOOLEAN columns inferred from the data.

Headers become columns

Blank headers become column_N. Duplicate names get a numeric suffix so the script stays valid.

Table and column names

Reserved words such as order are safe because every table and column name is quoted for the dialect.

Detect column types

Keep values as text when you care about leading zeros. Enable Detect column types when the next step expects numeric or boolean columns.

How CSV headers become SQL column names

Names stay readable, even when they match SQL keywords. Blank headers get a default name, and duplicate headers get a numbered suffix.

CSV header SQL column
order"order" / `order`
Product Name"Product Name" (kept, quoted)
(empty)column_1
name, namename, name_2
_id_id
Dialects

CSV to SQL for MySQL, PostgreSQL, and SQLite

Generate SQL for MySQL, PostgreSQL, or SQLite. Choose your database, and the converter handles names and quotes automatically.

Identifier and string rules

Pick the dialect that matches the database where you will run the script.

Dialect Identifiers String quotes Notes
MySQL `users` Quote doubling + backslash safety O'Brien → 'O''Brien'
PostgreSQL "users" Standard SQL '' O'Brien → 'O''Brien'
SQLite "users" Standard SQL '' Inferred booleans use 0/1

MySQL

Backticks for names; quotes use standard doubling, with extra backslash escaping for MySQL’s default mode.

INSERT INTO `users` (`id`, `name`)
VALUES ('001', 'O''Brien');

PostgreSQL

Double-quoted identifiers; single quotes inside values are doubled.

INSERT INTO "users" ("id", "name")
VALUES ('001', 'O''Brien');

SQLite

Same quoting style as PostgreSQL. With type detection on, booleans become integer 0/1.

INSERT INTO "users" ("id", "active")
VALUES ('001', 1);
Conversion controls

CSV to SQL Conversion Options

Delimiters and headers

Auto detect comma, semicolon, tab, or pipe. Keep First row as headers for named columns, or turn it off to use column_1, column_2, and so on.

Batch INSERT

Set Rows per INSERT (1–1000, default 100) to choose how many rows each INSERT statement includes.

NULL and types

Empty fields as NULL writes SQL NULL for blank cells. Detect column types is off by default so text and leading zeros stay intact.

Review and run SQL yourself

Output is a .sql script for you to review and run. This tool does not open database connections or execute statements.

Why this tool

Why Use This CSV to SQL Converter?

Generate SQL from CSV without uploading your data or connecting to a database.

Keep leading zeros and quotes right

IDs like 001 stay text by default, and names such as O'Brien are escaped for the dialect you pick.

Private and free

Paste or open a file in this tab. No account needed. Your CSV data stays in your browser.

Good to know

CSV to SQL FAQs

How do I convert CSV to SQL?

Paste CSV text or upload a .csv, .tsv, or .txt file. Choose MySQL, PostgreSQL, or SQLite, set the table name, optionally enable CREATE TABLE, then click Convert CSV to SQL. Preview the script, copy it, or download a .sql file.

Can I convert CSV to SQL online for free?

Yes. This free online CSV to SQL converter needs no account and no installation. Conversion runs in your browser, so you can generate SQL without uploading CSV files to a server.

Can I generate SQL INSERT statements from CSV?

Yes. The converter always builds INSERT INTO statements from your data rows. You can batch multiple rows per INSERT (default 100) and download the full script as a .sql file.

Can I create a SQL table from CSV headers?

Yes. Keep Include CREATE TABLE enabled to generate a CREATE TABLE statement from the header row (or column_1, column_2, … when headers are off). Column names are quoted for each SQL dialect.

Does the converter support MySQL, PostgreSQL, and SQLite?

Yes. Pick the SQL dialect before converting. Identifiers use backticks for MySQL and double quotes for PostgreSQL and SQLite. String escaping follows each dialect’s rules.

How does the converter handle quotes, NULL values, and data types?

Single quotes inside values are escaped for the selected dialect (standard SQL quote doubling; MySQL also escapes backslashes for the default sql_mode). Empty cells stay as empty strings unless you enable Empty fields as NULL. Values stay text by default so IDs like 001 keep leading zeros; turn on Detect column types only when you want inferred INTEGER, REAL, or BOOLEAN columns. Generated scripts assume a typical client session — if MySQL uses NO_BACKSLASH_ESCAPES, review backslash-heavy strings before running.

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Paste CSV data or upload a file and generate INSERT and CREATE TABLE SQL without sending anything to a server.

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