Softonic

CSV to SQL Converter

Step 1 / 2
Convert to SQL

Getting CSV data into a database usually means either firing up a loader tool or writing COPY / LOAD DATA INFILE commands that only work on local files. For small datasets, tens, hundreds, a few thousand rows, plain INSERT statements you can paste into any SQL console are often faster. This tool takes your CSV, takes a table name, and produces one INSERT per row with backtick-quoted identifiers and single-quoted values that are safe to run.

How the SQL is assembled

  1. 1

    Paste the CSV

    Standard CSV with an optional header row. The parser handles quoted cells with embedded separators.

  2. 2

    Set the table name

    Non-alphanumeric characters in the table name are replaced with underscores; falls back to `my_table` if empty.

  3. 3

    Columns come from the header

    If header mode is on, row 1 becomes the column list. Otherwise the columns are named `column_1`, `column_2`, etc.

  4. 4

    One INSERT per data row

    Each row becomes `INSERT INTO table (cols) VALUES (...)`. Values are single-quoted and internal quotes are doubled.

Dialect, quoting and when to reach for something else

The generator targets MySQL-flavored SQL with backticks around identifiers and single quotes around values. Most databases will accept it with minor tweaks.

Dialect cheat sheet

Database Identifier quoting Notes
MySQL backticks Works unchanged.
MariaDB backticks Works unchanged.
PostgreSQL double quotes Replace ` with " before running.
SQLite double quotes Replace ` with " or drop identifier quoting.
SQL Server square brackets Replace ` with []; watch N'...' for Unicode.

How values are escaped

All values are single-quoted and any embedded single quotes are doubled (O'Brien becomes 'O''Brien'). That is the SQL-92 way and works in every mainstream database. The converter does not type-cast, everything is emitted as a string literal, so the database’s implicit conversion will turn '42' into an integer when the column is INT.

Tips for clean imports

  • Create the table first. The converter emits INSERT statements only, not CREATE TABLE. Pair with a schema you define by hand or generate from your ORM.
  • Chunk large files. Paste 500-1000 rows at a time if your SQL client has a statement-size limit.
  • Wrap in a transaction. For anything more than a few hundred rows, bracket the paste with BEGIN; and COMMIT; (or START TRANSACTION; / COMMIT;). Much faster than autocommitting each statement.

When to skip SQL generation

If your file has more than ~50,000 rows, native bulk loaders (COPY in Postgres, LOAD DATA INFILE in MySQL, bcp in SQL Server) are an order of magnitude faster than scripted INSERTs. This tool is for quick imports, test data seeding and one-off migrations.

Frequently Asked Questions

No. It only emits INSERT statements. Define the schema yourself with CREATE TABLE beforehand, that way you keep control over column types, lengths and constraints rather than letting the converter guess.

With one change: replace the backtick identifier quotes around table and column names with double quotes. Values are single-quoted and will run unchanged on any SQL-92 dialect.

Single quotes inside values are doubled (O''Brien), which is the standard SQL escape. Backslashes, percent signs and underscores pass through literally, they only become special in LIKE patterns.

Yes, the CSV is sent to our server so the SQL can be generated. It is not stored and it is not added to the page link.

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