SQL Formatter & Beautifier

Format and beautify SQL queries for 15+ dialects instantly. Paste minified or messy SQL, pick your dialect, and get clean, readable output — free and private.

100% Free15+ DialectsNo Sign-upRuns in Browser

Input SQL

Formatted Output

Formatted SQL will appear here…

Why Format SQL Queries?

Raw SQL — especially when generated by ORMs, query builders, or copy-pasted from logs — is often a single unreadable line of characters. Properly formatted SQL dramatically improves the developer experience:

•Readability | WebUtilsFree: Clear indentation and line breaks make it instantly obvious which columns are selected, which tables are joined, and what conditions apply.
•Debugging | WebUtilsFree: Spotting a missing JOIN condition, a misplaced AND, or an incorrect alias is far easier when each clause is on its own line.
•Code Reviews | WebUtilsFree: Well-formatted SQL produces cleaner Git diffs, making it possible to review only the lines that actually changed.
•Documentation | WebUtilsFree: Formatted queries can be pasted directly into READMEs, Confluence pages, or runbooks without the reader needing to decipher a wall of text.

Supported SQL Dialects

Our formatter uses the sql-formatter library (v15) and supports 15+ production SQL dialects. Selecting the correct dialect matters — some syntax (like [bracket identifiers] in T-SQL or $$dollar quoting$$ in PostgreSQL) is dialect-specific.

Dialect	Best For	Key Syntax
PostgreSQL	Open-source relational DB	$$ quoting, :: casting, RETURNING
MySQL / MariaDB	LAMP stack, web apps	Backtick identifiers, LIMIT/OFFSET
SQL Server (T-SQL)	Microsoft SQL Server	[bracket identifiers], TOP, NOLOCK
SQLite	Embedded / mobile databases	PRAGMA, lightweight syntax
BigQuery	Google Cloud analytics	Backtick identifiers, STRUCT, ARRAY
Snowflake	Cloud data warehouse	Variant type, semi-structured data
Amazon Redshift	AWS data warehouse	DISTKEY, SORTKEY, COPY FROM S3
Apache Spark	Big data / Spark SQL	LATERAL VIEW, EXPLODE, RLIKE
DuckDB	Analytical / in-process SQL	LIST, PIVOT, UNNEST

SQL Best Practices

Use UPPERCASE for Keywords

Convention is to write SQL keywords in uppercase (SELECT, FROM, WHERE) and table/column names in lowercase. This makes the structure of a query immediately obvious to any reader. Our formatter enforces this automatically.

Alias Everything in JOINs

Always alias table names in multi-table queries (users u, orders o) and qualify every column reference with the alias. This prevents ambiguity errors and makes the query self-documenting.

Avoid `SELECT *` in Production

Explicitly naming columns in SELECT reduces network payload, avoids breaking application code when columns are added to a table, enables the query planner to pick better indexes, and documents exactly what data the query needs.

FAQ

Why do I need to select a SQL dialect?

Different databases extend standard SQL with their own syntax. A formatter must know the dialect to correctly handle constructs like [bracket identifiers] in T-SQL, $$dollar-quoted strings$$ in PostgreSQL, or backtick identifiers in MySQL. Using the wrong dialect may cause a parse error on valid SQL.

Does formatting change how my query runs?

No. SQL formatting only changes whitespace — indentation, newlines, and keyword capitalisation. It has absolutely no effect on query execution plans, results, or performance. The database engine ignores all whitespace.

My SQL has a stored procedure / IF block. Can it be formatted?

The underlying sql-formatter library does not support stored procedures, PL/pgSQL blocks, or custom delimiters. For those cases, try the dialect-specific IDE formatter (e.g., pgAdmin for PostgreSQL or SQL Server Management Studio for T-SQL).