Layerbit

SQL Formatter & Beautifier

Beautify, standardise or minify SQL across database dialects instantly, with the query never leaving your machine.

Raw Query
Optimized SQL

      

Database Engineering Standard

Layerbit's SQL Formatter is an essential utility for Database Administrators and Backend Engineers. It takes minified, poorly structured, or deeply nested queries and converts them into readable, standardized architecture.

Supported Database Engines

Our formatting engine natively supports 16 distinct SQL dialects, ensuring accurate keyword recognition and structural alignment for your specific technology stack.

Relational (RDBMS)

Full support for industry standards including PostgreSQL, MySQL, MariaDB, and SQLite. Handles standard CRUD operations, indexing, and complex joins.

Enterprise Servers

Optimized for proprietary corporate stacks like T-SQL (SQL Server), Oracle PL/SQL, and IBM DB2. Preserves specific stored procedure and variable syntax.

Cloud Data Warehouses

Native parsing for massive analytical queries running on Google BigQuery, Amazon Redshift, Apache Spark, Trino, and Hive.

Advanced Formatting Controls

Go beyond basic indentation. Layerbit provides granular control over how your SQL statements are structured for code reviews and version control.

Developer Use Cases

ORM Log Extraction

Take unreadable, single-line queries exported from ORMs (Prisma, Hibernate, Entity Framework) and expand them into formatted architecture to analyze execution plans.

Code Review Standardization

Format massive, deeply nested stored procedures and complex JOIN operations before committing them to your version control repositories to maintain code quality.

Cross-Dialect Migration

Quickly adapt the structural layout of legacy queries when migrating databases between different environments like PostgreSQL and MySQL.

Quick Testing Templates

Test the SQL syntax formatter instantly. Click the templates below to load sample queries directly into the IDE.

Engineering FAQ

Database queries inherently contain sensitive information, including proprietary schema designs, table structures, and business logic. Processing queries purely in your local browser prevents this critical data from being intercepted or logged on external servers.

The formatter safely processes standard SQL comments. However, when using the "Minify" function, inline comments (--) may be stripped or reformatted to prevent them from accidentally commenting out the rest of the single-line string.

No. This tool acts strictly as a structural formatter and syntax highlighter. It organizes the text to make it human-readable but does not connect to your database or execute the commands.

Why query formatting is a review problem, not a cosmetic one

A query written as one 600-character line is not just unpleasant to read — it is effectively unreviewable. Every change to it produces a diff showing one line removed and one line added, so a reviewer cannot see whether you altered a join condition or only a column alias. Consistent formatting turns SQL into something version control can describe meaningfully.

That is the real argument for a formatter: not beauty, but making the WHERE clause you changed visible as a changed line rather than buried inside an unchanged wall of text.

Keyword casing

Upper-casing reserved words (SELECT, JOIN, WHERE) separates language from identifiers at a glance. SQL keywords are case-insensitive, so this is purely for readability — but it is the convention nearly every style guide lands on.

Clause alignment

Putting each major clause on its own line, with joins and conditions indented beneath, makes the query's shape match its logic. Nested subqueries become visibly nested instead of implied by parentheses alone.

One column per line

For long select lists this is the difference between a reviewable diff and an unreviewable one. Adding a column becomes a single added line, which is exactly what you want a code review to show.

Where dialects genuinely diverge

"Standard SQL" is closer to an aspiration than a description. Formatting has to know which dialect it is looking at, because the same characters mean different things:

Formatting is not sanitising

Worth stating plainly: making a query readable does nothing about SQL injection. If any part of a query is assembled from user input by string concatenation, it is injectable whether it is beautifully indented or not. The fix is parameterised queries — placeholders bound by the driver, so user input is never parsed as SQL. A formatter is a readability tool, and reading a query is often how you notice a concatenation that should have been a parameter.

Equally, a formatter does not change how a query performs. It rewrites whitespace, never semantics: no clause is reordered, no join is rewritten, no index is chosen differently. For performance work you want EXPLAIN, not a formatter — though a readable plan is considerably easier to reason about alongside a readable query.

Your queries do not leave the page

Production SQL tends to contain table names, column names, business logic and sometimes literal customer data in a WHERE clause. All of that is competitively and legally sensitive, and none of it should be pasted into a service you cannot inspect. This formatter is client-side JavaScript: the parsing and re-rendering happen in the page you have open, nothing is transmitted, and you can verify that in your browser's Network tab or simply by working offline.

Deployment Changelog