CSV to SQL Converter
Convert CSV or TSV tabular data into SQL INSERT statements and CREATE TABLE definitions with automatic data types.
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Detected Column Schema
id: INTEGER
name: VARCHAR(64)
email: VARCHAR(64)
is_active: BOOLEAN
balance: DECIMAL(12, 4)
created_at: DATE
Generated SQL Statements
Generated 4 rows across 6 columns
-- Table structure for users
CREATE TABLE users (
id INTEGER,
name VARCHAR(64),
email VARCHAR(64),
is_active BOOLEAN,
balance DECIMAL(12, 4),
created_at DATE
);
-- Records for users (4 rows)
INSERT INTO users (id, name, email, is_active, balance, created_at) VALUES
(1, 'Alice Johnson', '[email protected]', TRUE, 1450.50, '2026-01-15'),
(2, 'Bob Smith', '[email protected]', FALSE, 0.00, '2026-02-10'),
(3, 'Charlie Brown', '[email protected]', TRUE, 890.25, '2026-02-28'),
(4, 'Diana Prince', '[email protected]', TRUE, 3420.00, '2026-03-05');Rate this tool
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About CSV to SQL Converter
Migrating spreadsheet tables or CSV exports into PostgreSQL, MySQL, SQLite, or SQL Server? The CSV to SQL Converter automatically transforms raw tabular CSV or TSV data into valid SQL INSERT INTO statements. It scans your data to intelligently detect column types such as INTEGER, DECIMAL, BOOLEAN, DATE, and VARCHAR, and can generate complete CREATE TABLE DDL schemas with safe SQL escaping.
How to use CSV to SQL Converter
- Paste your CSV or TSV data into the editor (or adjust delimiter settings).
- Specify your destination database table name and preferred batch size.
- Toggle CREATE TABLE generation according to your migration needs.
- Click Copy SQL Queries to run the generated statements in your database client.
Key features
- Automatic type inference: INTEGER, DECIMAL, BOOLEAN, DATE, TIMESTAMP, VARCHAR, and TEXT
- Multi-row batched INSERT INTO statements to maximize database insert speed
- Safe string literal escaping against syntax errors and broken quotation marks
- Supports comma, semicolon, tab, and pipe delimiters with RFC 4180 quotes
- Zero backend server transfers — 100% private in-browser spreadsheet conversion
Frequently asked questions
- How does the converter infer column data types?
- The parser samples values in each column. If all values are numeric without decimals, it assigns INTEGER. If decimals are detected, it assigns DECIMAL. Dates, timestamps, booleans, and variable-length strings are categorized automatically.
- How are single quotes inside CSV text handled?
- Standard SQL string escaping is applied: single quotes within text values are safely doubled (e.g. O'Connor becomes 'O''Connor') preventing SQL syntax breakage.
- Can this tool process TSV or semicolon-delimited files?
- Yes. You can select between Comma (,), Semicolon (;), Tab (\t), or Pipe (|) delimiters using the dropdown menu.
- Why should I batch INSERT statements?
- Batching rows into groups of 50 to 500 significantly reduces round-trip database transactions and executes orders of magnitude faster than single-row inserts.
- Is my confidential business spreadsheet data uploaded anywhere?
- No. The converter operates entirely inside your local browser memory using JavaScript. No files or rows are ever transmitted to an external server.