SQLite Formatter
Format and beautify SQLite queries online. Clean up SQLite SQL with proper indentation, consistent keyword casing, and readable line breaks — copy-ready output for SQLite CLI, Python sqlite3, or mobile app development.
Why Format SQLite Queries
SQLite is the world's most widely deployed database — used in mobile apps, browsers, embedded systems, and local development. Queries written inline in Python, Swift, Kotlin, or JavaScript apps quickly become unreadable without formatting. Poorly formatted SQLite queries are harder to debug, review in pull requests, and maintain as schema evolves. This formatter cleans up SQLite-specific syntax including WITHOUT ROWID tables, UPSERT (ON CONFLICT DO UPDATE), STRICT tables, and common SQLite pragma statements.
- SQLite syntax aware: Handles
UPSERT,WITHOUT ROWID,STRICT, and pragma statements - Consistent casing: Keywords uppercased, identifiers preserved
- Readable indentation: Clauses aligned for easy scanning and review
- Instant copy: One-click copy of formatted output
- 100% browser-based: Query content never leaves your device
Choose the Right Variant
- This page: SQLite — mobile apps, embedded systems, Python sqlite3, local development
- MySQL Formatter: MySQL and MariaDB query formatting
- PostgreSQL Formatter: PostgreSQL-specific syntax and functions
- T-SQL Formatter: Microsoft SQL Server and Azure SQL
- SQL Formatter: General SQL formatting for any dialect
Step-by-Step Tutorial
- Paste your SQLite query — inline from Python, Swift, Kotlin, or any source
- Example input:
select u.id,u.name,o.total from users u join orders o on u.id=o.user_id where o.status='paid' order by o.total desc limit 10 - Click Format SQL
- Review the formatted output with proper clause indentation and uppercase keywords
- Click Copy and paste into your code, SQLite CLI, or DB Browser for SQLite
SQLite-Specific Syntax Reference
- UPSERT:
INSERT INTO t VALUES (?) ON CONFLICT(col) DO UPDATE SET col = excluded.col - WITHOUT ROWID:
CREATE TABLE t (id INTEGER PRIMARY KEY, ...) WITHOUT ROWID— optimized for lookup-heavy tables - STRICT tables:
CREATE TABLE t (id INTEGER, name TEXT) STRICT— enforces type checking (SQLite 3.37+) - JSON functions:
json_extract(col, '$.key'),json_object(),json_array() - Window functions:
ROW_NUMBER() OVER (PARTITION BY col ORDER BY col2)— supported from SQLite 3.25+ - Pragmas:
PRAGMA journal_mode=WAL,PRAGMA foreign_keys=ON
Privacy and Data Handling
All SQL formatting runs in your browser. Your queries — including table names, column names, and any embedded values — never leave your device. Safe to use with queries containing internal schema or business logic.
Frequently Asked Questions
Is SQLite SQL compatible with standard SQL formatters?
SQLite is largely compatible with standard SQL but has several non-standard extensions and omissions. Most SQL formatters handle SQLite queries correctly for basic SELECT, INSERT, UPDATE, and DELETE statements. SQLite-specific syntax like WITHOUT ROWID, STRICT table mode, and the ON CONFLICT DO UPDATE upsert syntax may not format correctly in formatters tuned for MySQL or PostgreSQL. For the cleanest results with SQLite-specific features, use a formatter that handles generic SQL gracefully without rewriting non-standard clauses.
What is the best way to write multi-line SQLite queries in Python?
Use triple-quoted strings for multi-line SQLite queries in Python: cursor.execute("""SELECT id, name FROM users WHERE active = 1 ORDER BY name"""). Format the query with this tool first, then paste the formatted version between the triple quotes. Avoid f-strings or string concatenation for query construction — use parameterised queries with ? placeholders for all user-supplied values to prevent SQL injection: cursor.execute("SELECT * FROM users WHERE id = ?", (user_id,)).
How do I optimise slow SQLite queries?
Start with EXPLAIN QUERY PLAN prefixed to your query — SQLite shows whether it uses an index or performs a full table scan. Add indexes on columns used in WHERE, JOIN, and ORDER BY clauses. Enable WAL mode with PRAGMA journal_mode=WAL for better read/write concurrency. Use PRAGMA foreign_keys=ON to enforce constraints without performance overhead. Avoid SELECT * — only fetch the columns you need. For mobile apps, move heavy queries off the main thread to prevent UI blocking.