SQL Input 

          

        

      

      


      

        

          

            
SQL Formatter Guide

            
SQL formatter and beautifier online

            
Use this SQL Formatter to turn dense, messy or hard-to-read queries into clean SQL with indentation, keyword casing, line numbers and syntax-highlighted output. It is useful for database debugging, query review, learning SQL structure and making complex statements easier to maintain.

          


          

            

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Readable SQL queries

              
Beautify SQL by separating clauses, joins, conditions and values into a structure that is easier to scan.

            

            

              database
              
Works across common SQL

              
Format common query patterns used in MySQL, PostgreSQL, SQL Server, Oracle, SQLite, BigQuery and related SQL dialects.

            

            

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Browser-based formatting

              
Formatting runs in your browser. Your SQL query is not uploaded to devbruh servers just to make it readable.

            

          


          

            

              
What is a SQL formatter?

              

                
A SQL formatter, also called a SQL beautifier, SQL pretty printer, SQL prettifier or SQL tidy tool, takes a SQL script or query and converts it into a more readable layout. The goal is to preserve the intended query semantics while improving indentation, line breaks, keyword casing and clause structure.

                
Readable SQL is especially helpful for large SELECT statements, joins, subqueries, inserts, updates, schema scripts and stored procedures. When a query grows beyond a few lines, formatting helps developers understand what each clause is doing without mentally untangling the entire statement.

                
SQL syntax varies by database, so no lightweight browser formatter can replace a full database parser. Still, consistent formatting improves query review for common SQL used across systems such as MySQL, PostgreSQL, SQL Server, Oracle, SQLite, BigQuery, Redshift, Snowflake, DB2, MariaDB, Presto, Trino and Spark SQL.

              

            


            
          


          

            
Advantages of using a SQL formatter

            

              
Readability: Indentation, line breaks and capitalization make complex SQL easier to understand.

              
Maintainability: Clean query formatting makes database code easier to update, debug and hand off.

              
Version control: Consistent formatting makes query changes easier to review in diffs and pull requests.

              
Collaboration: Teams can avoid style noise when multiple developers work on the same SQL scripts.

              
Efficiency: A formatter saves time that would otherwise be spent manually spacing and aligning clauses.

              
Reduced mistakes: Better structure makes it easier to spot suspicious conditions, joins, grouping and ordering.

            

          


          

            

              
SQL formatter example

              
A compact database script becomes easier to review once statements, clauses and values are split across lines.

              

                

                  
Unformatted SQL

                  
CREATE TABLE MortgageCompanies (ID INTEGER PRIMARY KEY, NAME CHAR(30)); INSERT INTO MortgageCompanies VALUES (1, 'Quicken Loans'); SELECT * FROM MortgageCompanies;

                

                

                  
Formatted SQL

                  
CREATE TABLE MortgageCompanies (ID INTEGER PRIMARY KEY, NAME CHAR(30));
INSERT INTO MortgageCompanies
VALUES
  (1, 'Quicken Loans');
SELECT
  *
FROM
  MortgageCompanies;

                

              

            


            

              
Related formatter tools

              
After formatting SQL, you may also want to clean JSON API data, format JavaScript, beautify HTML or compare code changes.

              

                JSON Formatter
                JS Formatter
                HTML Formatter
                CSS Formatter
                File Diff
              

            

          


          

            
SQL Formatter FAQ

            

              

                What is a SQL formatter?
                
A SQL formatter converts a query or script into readable SQL with indentation, line breaks and keyword casing while preserving the intended query meaning.

              

              

                Why should I use a SQL beautifier?
                
Beautified SQL is easier to read, debug, review and maintain, especially for complex SELECT statements, joins, subqueries and stored procedures.

              

              

                Which databases does this help with?
                
The formatter is useful for common SQL query patterns across databases such as MySQL, PostgreSQL, SQL Server, Oracle, SQLite, BigQuery, Redshift, DB2, MariaDB, Presto, Trino and Spark SQL. Dialect-specific syntax can still vary.

              

              

                Is my SQL uploaded or saved?
                
No. Formatting runs in your browser and the page does not submit pasted SQL to devbruh servers. Avoid pasting credentials, private data or production secrets into any online tool unless you are comfortable with the environment.

              

              

                Can this formatter fix invalid SQL?
                
It can make incomplete or rough SQL easier to inspect, but it is not a database engine and cannot guarantee that invalid SQL will execute successfully.

              

              

                Does formatting SQL change query results?
                
Formatting is intended to change layout, whitespace and keyword casing, not the meaning of the query. You should still test database-critical queries in your own environment.

              

            

          


          

            
Learn more about SQL

            
These references are useful when you want to understand SQL syntax, database behavior and vendor-specific SQL features.

            

              PostgreSQL SQL
              MySQL SQL
              T-SQL Reference