Free SQLite Query Formatter & Beautifier Online
Format SQLite SQL queries, schemas, and triggers with clean indentation. AST-verified formatting with Monaco Git Diff inspection.
About SQLite SQL formatting
SQLite keeps a small core but is used for surprisingly sophisticated application queries. A single script may contain PRAGMA statements, transactions, recursive CTEs, triggers, schema DDL, JSON functions, and window expressions. Identifiers can be quoted in several ways, and SQLite uses dynamic typing rather than enforcing a server-wide column type model. A formatter should therefore preserve the author’s expressions and statement order instead of assuming a larger database dialect.
This SQLite formatter handles the patterns found in migrations and embedded application databases. Recursive CTE branches are indented consistently, JSON functions and the -> and ->> operators remain attached to their paths, and GROUP_CONCAT or other aggregate calls keep their separator arguments readable. Window clauses, savepoints, and semicolon-separated statements are kept distinct so a complete migration script can be reviewed as one document.
The editor starts with a recursive category query using JSON extraction, aggregation, and a depth-aware ordering. Use this page for migration cleanup, test fixtures, local reporting queries, or SQL copied from a desktop database browser. After formatting, the diff view highlights the layout changes and the normal request path discards the query when the response is complete.
The sample also shows how ordinary relational clauses and SQLite JSON expressions can share one readable statement.
That makes it easier to check a migration before it runs on a mobile, desktop, or test database.
SQLite scripts are often checked into application repositories, where small syntax changes can affect an upgrade path. Keeping every statement and recursive branch easy to identify makes the formatter useful for code review as well as for one-off query cleanup.
The result is deliberately conservative around SQLite’s flexible syntax. It improves spacing and nesting without pretending that every expression has a server-side type or that every pragma behaves like a standard SQL clause.
What's different about SQLite formatting? SQLite formatting preserves JSON functions, recursive CTEs, and statement boundaries without imposing a server-side type model. Example: SELECT json_extract(attributes, '$.price') FROM items WHERE deleted = 0;
SQLite formatting highlights
- Standard SQLite queries and PRAGMA statements
- JSON functions (json_extract, ->, ->>)
- CTE and window function support
- Transactions and savepoints
SQLite dynamic typing and PRAGMA statements are preserved; complex trigger scripts may require standard formatting. The editor above is already configured for SQLite; format the included sample or replace it with a query from your own project.
SQLite formatter FAQ
Does it support SQLite JSON operators?
Yes, SQLite JSON functions and JSON arrow operators (->, ->>) are supported.
Need another engine? Browse the multi-dialect SQL formatter or choose a related dialect below.
Supported SQL Dialects & Engines
Format SQL queries across standard and cloud database dialects using native parser engines and AST-based formatting.
Best-in-class GoogleSQL formatting with native AST engine, pipe syntax support, and zero SQL storage.
Format PostgreSQL queries with support for JSONB, recursive CTEs, and advanced analytical window functions.
Beautify MySQL queries, backtick identifiers, and stored procedure blocks with clean indentation.
Microsoft ScriptDOM formatting for SQL Server and T-SQL, with versioned grammar, brackets, and CROSS APPLY joins.
High-speed SQL formatting optimized for ClickHouse analytical queries, arrays, and PREWHERE clauses.
Format Snowflake SQL queries and semi-structured expressions.
Format DuckDB queries and analytical transformations.
Format SQLite SQL queries, schemas, and triggers with clean indentation.
Format Oracle SQL queries with support for JSON_TABLE, CONNECT BY hierarchies, and analytical functions.
Format Databricks SQL, Delta Lake time travel (TIMESTAMP AS OF), STRUCT literals, and LATERAL VIEWs.
Format Apache Spark SQL queries, LATERAL VIEWs, struct access, and window transformations.
Format HiveQL queries, LATERAL VIEWs, PARTITION BY, and CLUSTER BY clauses.
Format Amazon Redshift analytical queries, VACUUM, and window functions.
Standard ANSI SQL formatting that works universally across database engines and query editors.