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JSON to SQL Converter — Table Schema & Data Inserts

Convert JSON arrays and API responses into relational SQL table definitions and INSERT scripts.

Source JSON100% Client-Side Local
sql OutputGenerated AST

Bridging Document JSON into Relational SQL Databases

Migrating NoSQL data from MongoDB, DynamoDB, Firebase, or external REST APIs into PostgreSQL, MySQL, or SQLite requires translating dynamic document structures into strict relational tables.

FormJson scans your JSON records, aggregates all unique column names, infers the most accurate SQL column types, and produces executable SQL migration scripts in seconds.

Inferred SQL Data Types

JSON Type Inferred SQL Column SQL Insert Literal
"Text value" VARCHAR(255) / TEXT 'Text value'
100 BIGINT / INT 100
true / false BOOLEAN TRUE / FALSE
{"nested": 1} JSONB '{"nested": 1}'::jsonb

FAQ

Which SQL databases are compatible with the generated output?
The generated CREATE TABLE DDL and INSERT INTO queries use ANSI standard SQL compatible with PostgreSQL, MySQL, MariaDB, SQLite, Supabase, and Amazon Aurora.
How does the converter infer SQL column data types?
Integers are mapped to BIGINT/INT, floating point values to NUMERIC/DECIMAL, booleans to BOOLEAN, strings to VARCHAR(255) or TEXT, and nested JSON objects/arrays to JSONB.
Does the converter handle single-quote escaping?
Yes. All string values with embedded quotes are safely escaped using SQL standard doubled quotes ('') to avoid syntax errors.
Can I convert large database export dumps?
Yes, you can paste large JSON arrays of objects and instantly export production-ready SQL migration scripts.
Is my database data kept private?
Yes, 100%. No data is sent over the internet; everything executes locally in your browser.

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100% Client-Side