{ SQL Query Minifier }

// compress sql — strip comments and whitespace instantly

Minify SQL queries by removing whitespace, comments, and redundant spaces. Compact SQL for storage, logging, and transport — free and browser-based.

Paste your SQL query — comments and whitespace will be stripped
🗜️

Minified SQL appears here

Paste SQL on the left and click Minify

HOW TO USE

  1. 01
    Paste your SQL

    Drop any raw SQL query into the left panel — SELECT, INSERT, UPDATE, CREATE TABLE, stored procedures, anything.

  2. 02
    Choose options

    Toggle comment removal and whitespace collapsing. Both are on by default for maximum compression.

  3. 03
    Copy the result

    Click Minify and grab the compact output. Stats show how many characters you saved.

FEATURES

-- Comments /* Block Comments */ # MySQL Comments String-safe Compression Stats All SQL Dialects

USE CASES

  • 🗜️ Compact SQL for logging and audit trails
  • 📦 Minimize SQL stored in config files or env vars
  • 🚀 Reduce payload size in API requests
  • 🔍 Strip developer notes before deploying migrations
  • 📋 Clean up auto-generated ORM queries

WHAT IS THIS?

SQL Query Minifier removes all non-essential characters from SQL statements — single-line comments (--), block comments (/* */), MySQL hash comments (#), extra spaces, tabs, and line breaks — while safely preserving string literals and quoted identifiers so your query logic stays intact.

RELATED TOOLS

FREQUENTLY ASKED QUESTIONS

Will minifying break my SQL query?

No — the minifier preserves all SQL keywords, operators, string literals, and quoted identifiers. It only removes whitespace and comments, which are ignored by database engines anyway. The resulting query is semantically identical to the original.

Does it handle strings with spaces inside?

Yes. The minifier tokenizes string literals (single-quoted 'value', double-quoted "identifier", and backtick-quoted `table`) before processing, so spaces and comment-like sequences inside strings are never altered.

Which SQL dialects are supported?

All major dialects work: MySQL, PostgreSQL, SQLite, SQL Server (T-SQL), Oracle, MariaDB, and standard ANSI SQL. The tool handles -- and /* */ comments universally, plus MySQL-specific # hash comments.

Why would I minify SQL?

Common use cases include storing compact SQL in configuration files or environment variables, reducing payload size when sending queries over an API, stripping developer notes before production migrations, and cleaning up verbose auto-generated ORM queries for logging.

Is my SQL sent to a server?

No. All processing happens entirely in your browser using JavaScript. Your SQL is never transmitted to any server, making this tool safe for sensitive schemas or proprietary queries.

Can I minify stored procedures or DDL statements?

Yes. The minifier works on any SQL text — SELECT queries, INSERT/UPDATE/DELETE, CREATE TABLE, ALTER TABLE, stored procedures, triggers, and views. The logic is comment and whitespace removal, independent of the SQL statement type.

What Is a SQL Query Minifier?

A SQL Query Minifier is a tool that strips all non-essential characters from a SQL statement without changing its meaning or behavior. This includes removing single-line comments (--), block comments (/* ... */), MySQL hash-style comments (#), and collapsing all whitespace — tabs, multiple spaces, and newlines — into single spaces. The result is a compact, single-line SQL string that is functionally identical to the original but significantly shorter.

Database engines ignore whitespace and comments entirely during query parsing, so the minified output executes identically. The gain is purely in character count, which matters when SQL is embedded in application code, stored in config files, passed as URL parameters, logged to structured systems, or transmitted as part of an API payload.

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How SQL Minification Works

The minification process requires careful tokenization rather than simple string replacement. A naïve approach — like stripping everything that matches --.* with a regex — will corrupt queries that contain strings like 'It--s a value' or 'url -- https://example.com'. A proper minifier reads the SQL character by character, tracking whether it is inside a string literal or identifier before deciding whether to remove characters.

Here is the processing order used by this tool:

  1. String literals ('...') are passed through untouched, including any whitespace or comment-like content inside them.
  2. Quoted identifiers ("..." and `...`) are similarly preserved verbatim.
  3. Block comments (/* ... */) are removed and replaced with a single space to prevent tokens from merging.
  4. Single-line comments (-- ... and #) are removed up to the next newline.
  5. Runs of whitespace (spaces, tabs, newlines, carriage returns) are collapsed to a single space.
  6. Leading and trailing whitespace is trimmed from the final output.

When to Minify SQL

There are several practical situations where compact SQL is preferable to the formatted, human-readable version:

SQL Comment Types Explained

SQL supports multiple comment syntaxes, and different database systems support different subsets:

This minifier handles all three forms, making it compatible with MySQL, MariaDB, PostgreSQL, SQL Server, SQLite, Oracle, and any other database that follows ANSI SQL comment conventions.

Difference Between Minifying and Formatting SQL

SQL Formatting and SQL Minification are opposite operations. A formatter (also called a beautifier) takes compact or messy SQL and restructures it with consistent indentation, capitalized keywords, and logical line breaks to make it easier for humans to read. A minifier does the reverse — it removes all decorative structure to produce the shortest possible valid SQL string.

Both have their place in a developer's workflow. During development and code review, formatted SQL is essential for readability and catching logical errors. In production environments, logging systems, and data pipelines, minified SQL is often preferable because it takes less space, parses faster in log processors, and fits neatly into single-value fields.

Use the SQL Formatter when you need to read or review SQL, and this minifier when you need to store, transmit, or log it compactly.

Tips for Working with Minified SQL

A few practical guidelines when using minified SQL in your projects: