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CSV to SQL INSERT Statements Converter

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Options

INSERT Syntax by Database
DatabaseIdentifier QuoteBatch INSERT
MySQL`column`INSERT INTO t VALUES (...), (...)
PostgreSQL"column"INSERT INTO t VALUES (...), (...)
SQLite"column"INSERT INTO t VALUES (...), (...)
SQL Server[column]INSERT INTO t VALUES (...), (...) (max 1000 rows)
Oracle"column"INSERT ALL INTO t VALUES (...) ... SELECT 1 FROM DUAL
Escaping Rules
  • Single quotes in strings are doubled: 'it''s'
  • MySQL backtick identifiers: `my column`
  • SQL Server bracket identifiers: [my column]
  • PostgreSQL/SQLite/Oracle double-quote identifiers: "my column"
Common Gotchas
  • CSV fields containing commas must be wrapped in double quotes
  • Double quotes within quoted fields are escaped by doubling: ""
  • Empty fields may represent NULL or empty string depending on context
  • Date formats vary by database — verify date columns match your DB format
  • SQL Server limits batch INSERT to 1000 rows per statement
  • Oracle does not support standard multi-row INSERT — uses INSERT ALL syntax
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Guide

CSV to SQL INSERT Statements Converter

CSV to SQL INSERT Statements Converter

Convert CSV data to SQL INSERT statements for MySQL, PostgreSQL, SQLite, SQL Server, and Oracle. Paste your CSV with column headers, configure options like batch inserts and type detection, and get properly escaped SQL ready to execute. Handles quoted fields, embedded commas, NULL values, and dialect-specific escaping.

How to Use

Paste CSV data into the input area (first row must be column headers). Select your target database flavor, set a table name, and choose your INSERT style (individual, batch, or chunked). The converter auto-detects column types and generates properly escaped SQL instantly. Review detected columns in the preview, override types if needed, and copy or download the SQL output. Optionally include a CREATE TABLE statement or transaction wrapper.

Features

  • 5 Database Flavors — MySQL (backtick identifiers), PostgreSQL (double-quote identifiers), SQLite (double-quote), SQL Server (bracket identifiers), and Oracle (INSERT ALL syntax). Each with correct escaping and quoting rules.
  • Batch INSERT — Individual INSERT per row, multi-row batch INSERT with VALUES clauses, or configurable chunk size. SQL Server auto-limits to 1000 rows per statement. Oracle uses INSERT ALL … SELECT FROM dual.
  • Auto Type Detection — Automatically identifies integers, floats, booleans, NULLs, and strings from your data. Numbers are unquoted, strings are properly escaped and quoted, NULLs are literal NULL.
  • Column Editor — Preview detected columns with names, types, and sample values. Rename columns and override type detection before generating SQL.
  • NULL Handling — Configure how empty values are treated: as SQL NULL, as empty strings, or detect “NULL” text as actual NULL values.
  • CREATE TABLE — Optionally prepend a CREATE TABLE statement with inferred column types mapped to each database dialect (VARCHAR, INT, DECIMAL, BOOLEAN, etc.).
  • Transaction Wrapper — Optionally wrap output in BEGIN/COMMIT for atomic execution.
  • RFC 4180 CSV Parsing — Handles quoted fields with embedded commas, escaped quotes, and newlines within fields. Auto-detects delimiter (comma, tab, semicolon, pipe).

SQL INSERT Syntax

The SQL INSERT statement adds rows to a database table. The basic syntax is: INSERT INTO table_name (column1, column2) VALUES ('value1', 'value2'); String values must be properly escaped — single quotes within values are doubled (O’Brien becomes O”Brien). Numeric values are inserted without quotes. NULL is a keyword, not a string. Batch inserts combine multiple rows in a single statement for better performance: INSERT INTO table VALUES (...), (...), (...);

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How do I handle special characters in CSV to SQL conversion?

This converter automatically escapes special characters according to each database dialect. Single quotes in string values are doubled (O’Brien becomes O”Brien). Backslashes are escaped where required. Column names with spaces or reserved words are properly quoted using the dialect’s identifier quoting: backticks for MySQL, double quotes for PostgreSQL/SQLite/Oracle, and brackets for SQL Server. Embedded commas and newlines in CSV fields are handled by the RFC 4180 parser.

What is the difference between individual and batch INSERT?

Individual INSERT generates one INSERT statement per CSV row — simple but slower for large datasets. Batch INSERT combines multiple rows into a single statement: INSERT INTO table VALUES (…), (…), (…). This is significantly faster because it reduces the number of database round-trips. Most databases support batch INSERT with some limits: SQL Server allows up to 1000 rows per INSERT, while MySQL, PostgreSQL, and SQLite have no fixed row limit but may hit packet size limits. Oracle uses a different syntax: INSERT ALL … INTO … SELECT FROM dual.

How does type detection work?

The converter examines each column’s values to infer the type. Values matching integer patterns (digits only, optional minus) are typed as INTEGER. Decimal numbers become FLOAT or DECIMAL. True/false and yes/no values become BOOLEAN. Empty cells and ‘NULL’ text become SQL NULL (configurable). Everything else is treated as a string (VARCHAR). You can override any detected type in the column preview before generating SQL. Type detection affects both the VALUES quoting (numbers unquoted, strings quoted) and the optional CREATE TABLE column definitions.

Is my CSV data sent to a server?

No — all CSV parsing, type detection, SQL generation, and escaping happen entirely in your browser using JavaScript. Your data never leaves your device. This is important because CSV data often contains sensitive information: customer records, financial data, credentials, or internal business data. All processing runs client-side with no API calls or data storage.

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