CSV to SQL Converter (CREATE TABLE & INSERT Statements)
Convert raw CSV files or pasted spreadsheets into optimized SQL CREATE TABLE and batch INSERT statements with automatic type inference.
Target Table Name:
SQL Dialect:
Batch INSERT Rows:
Raw CSV Data5 Parsed Rows
Generated SQL Output
-- Table Schema for POSTGRESQL
CREATE TABLE IF NOT EXISTS "users" (
"id" INT,
"name" VARCHAR(64),
"email" VARCHAR(64),
"role" VARCHAR(64),
"salary" NUMERIC(12, 2),
"is_active" BOOLEAN,
"joined_date" DATE
);
-- Batch INSERT Statements (5 rows)
INSERT INTO "users" ("id", "name", "email", "role", "salary", "is_active", "joined_date")
VALUES
(1, 'Alice Johnson', '[email protected]', 'Lead Architect', 145000.50, TRUE, '2024-03-15'),
(2, 'Bob Smith', '[email protected]', 'DevOps Engineer', 112000.00, TRUE, '2024-04-01'),
(3, 'Carol Danvers', '[email protected]', 'Security Specialist', 138000.75, FALSE, '2024-06-20'),
(4, 'David Miller', '[email protected]', 'Database Administrator', 125000.00, TRUE, '2024-07-11'),
(5, 'Elena Rostova', '[email protected]', 'ML Researcher', 155000.00, TRUE, '2024-08-05');Parsed Rows5
Detected Columns7
Target Dialectpostgresql
Batch Bundling50 / Insert
100% Local Browser Memory
Your CSV data, employee records, and business metrics are processed completely offline inside client memory. Zero data upload.
Multi-RDBMS Syntax Rules
Tailors identifier quoting, auto-increment primaries, batch tuple packaging, and data types specifically for PostgreSQL, MySQL, and SQLite.
High-Speed Type Inference
Scans column profiles automatically detecting integers, precision floats, ISO timestamps, booleans, and varchar limits in real-time.