Free PostgreSQL Formatter Online - Postgres SQL Beautifier

PostgreSQL has a broad SQL surface and a distinctive collection of operators that deserve more than keyword indentation. Unquoted identifiers are folded to lowercase, while quoted identifiers preserve their exact spelling. Expressions can contain arrays, explicit :: casts, dollar-quoted function bodies, jsonb operators such as -> and #>, and range or geometric operators. A useful formatter must keep those tokens intact while still making joins, nested expressions, and long select lists easy to scan.

This PostgreSQL formatter handles the patterns common in application databases and analytical reporting. Recursive CTEs remain visibly layered, DISTINCT ON stays attached to its select statement, and FILTER (WHERE ...) is aligned with the aggregate it modifies. LATERAL subqueries and set-returning functions are laid out as relational sources instead of being mistaken for ordinary parenthesized expressions. Window definitions, frame clauses, array concatenation, jsonb paths, and explicit ::type casts are kept readable without changing their meaning.

The editor is preset to PostgreSQL on this URL, including a sample that combines a recursive organization tree, JSONB aggregation, LATERAL, and a rolling window. It is a good starting point for checking formatting conventions before adding the query to a migration, view, report, or application codebase. Formatting is performed without retaining normal SQL requests, and the side-by-side diff makes it straightforward to verify that only whitespace, casing, and line layout changed.

PostgreSQL users can therefore use the page for both small application queries and complex database-side logic. A clear layout is particularly valuable when reviewing a migration that changes a JSONB expression, a partial aggregate, or a recursive branch: each operator and predicate stays visible, while the diff shows whether the formatter touched anything beyond presentation.

It also keeps familiar PostgreSQL review signals visible: the difference between WHERE and FILTER, the scope of a LATERAL source, and the order of a DISTINCT ON query. Those details are easy to miss in minified SQL but become obvious when each clause has a consistent home.