Formatters transform minified, obfuscated, or inconsistently indented code into clean, readable output. This category covers SQL beautification, JSON pretty-printing, and code formatting across multiple languages, essential for code reviews, debugging production logs, and maintaining consistent style across a team.

Common Workflows & Recommended Tools

Beautify a minified SQL query for code review

→ SQL Formatter

Pretty-print a JSON API response for debugging

→ JSON Formatter

Validate and format a tsconfig.json or package.json

→ JSON Formatter

Minify JSON before storing in localStorage or a URL param

→ JSON Formatter

Common Mistakes to Avoid

✗Pasting JSONC or JSON5 (with comments or trailing commas) into a strict JSON formatter and assuming parse errors are bugs, only RFC 8259 JSON is valid.
✗Formatting SQL without selecting the correct dialect, MySQL, PostgreSQL, and SQL Server have different keyword sets and quoting rules.
✗Pretty-printing JSON before storing it in a database column or API payload, wasting bytes on whitespace the parser strips anyway.

Privacy-First by Design

Production queries and API responses often contain table names, schema details, and embedded literal values that reveal your architecture. All formatting runs client-side, your code never leaves the browser.

Frequently Asked Questions

Does the SQL Formatter support all SQL dialects?

It supports MySQL, PostgreSQL, SQL Server, SQLite, BigQuery, Snowflake, Redshift, and ANSI SQL. PL/SQL and T-SQL stored procedures are not supported.

Can the JSON Formatter handle very large files?

Yes, but performance depends on browser memory. Files up to ~100 MB format instantly; larger files may stall on mobile devices.

Does formatting change my data?

No. Formatters only change whitespace and indentation. The semantic content of your JSON, SQL, or code remains identical.