Is my database data or SQL query private?

Yes, completely private. KitWharf SQL Formatter runs 100% locally in your web browser. Neither your queries, table schemas, nor confidential database records are ever uploaded to any server or logged in telemetry.

Which SQL dialects are supported?

The tokenizer and beautifier support standard ANSI SQL, PostgreSQL, MySQL, MariaDB, SQLite, Microsoft SQL Server (T-SQL), and Oracle.

Can I convert SQL INSERT statements into JSON?

Yes! Simply paste an 'INSERT INTO table (col1, col2) VALUES (...)' query and click the 'JSON Export' tab. The tool parses values and generates a valid JSON array of records automatically.

Developer Utility

SQL Formatter, Beautifier & Minifier

Format, beautify, minify, and validate SQL queries in real time. Convert INSERT statements to JSON data. 100% private in-browser parsing — zero server calls.

Try Sample Queries:

Formatting & Casing Settings

Keyword Case

Function Case

Indentation

Comma Position

Raw Input SQL

Upload .sql

450 characters1 lines · 60 words

SELECT u.id AS user_id,
   u.full_name,
   u.email,
   o.order_id,
   o.order_date,
   SUM ( oi.quantity *  oi.unit_price) AS total_amount
FROM users u
INNER JOIN orders o ON u.id =  o.user_id
LEFT JOIN order_items oi ON o.order_id =  oi.order_id
WHERE o.status IN ( 'completed',
   'shipped')
  AND  o.order_date >  =  '2026-01-01'
GROUP BY u.id,
   u.full_name,
   u.email,
   o.order_id,
   o.order_date
HAVING SUM ( oi.quantity *  oi.unit_price) >  250.00
ORDER BY total_amount DESC
LIMIT 50;

496 charactersReady to execute

Query Health & Syntax

Balanced

Detected Type:SELECT

Statements:1

Referenced Tables (3)

usersordersorder_items

Zero Server Uploads

Your database table structures, proprietary queries, and customer records are never uploaded to any remote server. Tokenization and formatting execute locally in your browser.

Major SQL Dialects & Identifier Quote Conventions

SQL Dialect	Identifier Quoting	String Literal Quotes	Limit / Paging Syntax	Primary Ecosystem
PostgreSQL	"table_name"	'string'	LIMIT n OFFSET m	Modern web backends, Supabase
MySQL / MariaDB	`table_name`	'string' or "string"	LIMIT offset, count	LAMP stack, WordPress, PlanetScale
SQLite	"col" or `col` or [col]	'string'	LIMIT n OFFSET m	Embedded apps, mobile, Turso
Microsoft SQL Server (T-SQL)	[table_name]	'string'	TOP (n) / OFFSET FETCH	Enterprise, .NET, Azure SQL
ANSI SQL Standard	"table_name"	'string'	FETCH FIRST n ROWS ONLY	ISO/IEC 9075 Specification

Professional SQL Style & Formatting Conventions

Styling Rule	Recommended Convention	Anti-Pattern (Avoid)	Benefit
Keywords	SELECT, FROM, WHERE	select, from, where	Clear visual hierarchy
Columns	1 column per line	col1, col2, col3 on 1 line	Clean git diffs
Wildcards	Explicit column list	SELECT *	Protects API contracts & memory
Complex Queries	WITH cte AS (...)	5-deep nested subqueries	Readable top-down execution

How to Beautify and Convert SQL Online

Paste or Upload Query: Enter your raw SQL string into the input panel, or upload a .sql file.
Customize Formatting: Select your preferred keyword casing (UPPERCASE or lowercase), indentation spacing (2 spaces, 4 spaces, or tabs), and comma alignment.
Export or Convert to JSON: Switch between Beautified, Minified, and JSON Export modes, then click "Copy" or "Download".

Frequently Asked Questions

100% In-Browser Privacy

Your database queries, table names, and records are parsed locally in browser memory. Zero server uploads.

Practical Knowledge Base

In-Depth Guides & Tutorials

Formulas, industry standards, and best practices for SQL Formatter & Beautifier.

Browse all guides

Article9 min read

SQL Formatting Best Practices, Indentation Standards, and Common Query Anti-Patterns

Learn professional SQL styling conventions, uppercase vs lowercase keywords, leading vs trailing commas, and how to spot query anti-patterns.

Read full tutorial

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