JSON to SQLite Converter
Generate SQLite-compatible SQL from JSON data. This tool produces lightweight CREATE TABLE and INSERT statements using SQLite's flexible type system.
JSON to SQL Converter
Convert JSON arrays to SQL CREATE TABLE and INSERT statements. Supports PostgreSQL, MySQL, and SQLite with automatic type inference.
About JSON to SQL Conversion
- Automatically infers SQL column types from JSON values — integers, floats, booleans, dates, UUIDs, and text.
- Supports PostgreSQL, MySQL, and SQLite with dialect-specific syntax (quoting, types, booleans).
- Generates CREATE TABLE with NOT NULL constraints and INSERT statements with proper escaping.
- Batch INSERT mode combines all rows into a single statement for faster bulk loading.
- Nested objects and arrays are serialized as JSON/JSONB (PostgreSQL) or TEXT (SQLite).
- Everything runs in your browser — no data is sent over the network.
Why convert JSON to SQLite?
SQLite is the world's most deployed database engine, embedded in mobile apps, desktop software, IoT devices, and development environments. Developers often need to populate SQLite databases from JSON exports, API responses, or configuration data. This tool generates SQLite-compatible SQL with the correct type affinities (TEXT, INTEGER, REAL) and proper quoting.
SQLite type affinities
SQLite uses a dynamic type system with five storage classes: NULL, INTEGER, REAL, TEXT, and BLOB. This converter maps JSON booleans to INTEGER (0/1), numbers to INTEGER or REAL, strings to TEXT, and nested objects to TEXT (serialized JSON). Date strings are stored as TEXT since SQLite has no native date type but supports date functions on ISO 8601 strings.
Frequently Asked Questions
How does SQLite handle boolean values?
SQLite has no native BOOLEAN type. This tool converts JSON booleans to INTEGER values: 1 for true and 0 for false, which is the standard SQLite convention.
Can I import the generated SQL into an existing SQLite database?
Yes. Use the 'IF NOT EXISTS' option to safely create tables without conflicting with existing ones. You can run the SQL file directly with the sqlite3 CLI: sqlite3 mydb.db < output.sql
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