About this tool
When importing massive datasets into database servers like PostgreSQL or Supabase, developers waste hours mapping data schema parameters manually. This utility acts as an automatic structural translator. It recursively traverses your JSON object keys to identify matching structures, inferring data types with precision.
Numbers are converted to INTEGER or NUMERIC, boolean flags to BOOLEAN, strings mapping to standard characters, and nested objects/arrays to Postgres JSONB parameters automatically. This local generation minimizes the risk of credentials leaking over third-party APIs.
Frequently asked questions
Everything you need to know about JSON to SQL / Supabase Schema.
Which SQL dialects does the JSON to SQL converter support?
The converter generates standard ANSI SQL with PostgreSQL/Supabase syntax as the primary target. The output includes CREATE TABLE statements with appropriate column types (TEXT, INTEGER, BOOLEAN, JSONB) that are compatible with MySQL and SQLite with minimal changes.
How does it handle nested JSON objects and arrays?
Nested objects are mapped to JSONB columns to preserve their structure without flattening, keeping the schema clean. If you want nested objects as separate tables, you can manually decompose the JSON before converting.
How are JSON data types mapped to SQL column types?
String values become TEXT, numbers with decimals become NUMERIC, whole numbers become INTEGER, booleans become BOOLEAN, null values default to TEXT (nullable), and nested objects or arrays become JSONB.
Is there a maximum size of JSON I can convert?
There is no hard-coded limit. The conversion runs in your browser, so practical limits depend on your device. JSON files with thousands of fields parse in milliseconds on any modern computer.
Is my JSON data sent to a server during conversion?
No. The entire conversion runs client-side using JavaScript. Your JSON never leaves your browser tab, making this safe for use with sensitive schemas, database credentials, or proprietary data structures.