JSON to SQL Converter.
Turn a JSON array of objects into ready-to-run SQL — CREATE TABLE with inferred types plus batched INSERTs — for MySQL, PostgreSQL, SQLite, or SQL Server. Private, in your browser.
No signup · No uploads · No file-size cap
SQL output
// Paste input and press “Convert to SQL”.Convert JSON to SQL online — free and private
A JSON to SQL converter turns a JSON array of objects into SQL statements you can run to load the data into a database. Paste your JSON above, pick a dialect, and press Convert to SQL to get a CREATE TABLE plus INSERT statements. Because it runs client-side, you can convert JSON to SQL online without uploading production data.
How to convert JSON to SQL in three steps
- Paste your JSON array of objects, or click “Load sample”.
- Choose your options — database dialect, table name, CREATE TABLE, optional DROP, and batch size.
- Convert and export — copy the SQL or download it as
data.sql.
Four dialects, real types, batched inserts
Many converters emit INSERT-only output for a single database. This one
targets MySQL, PostgreSQL, SQLite, and SQL Server, each
with correct identifier quoting and literal syntax. With
type inference, it builds a CREATE TABLE
where each column gets the right type — integer, floating point,
boolean, JSON, or text. Inserts are grouped into
multi-row batches you can size to your database, and
nested objects are stored as JSON columns.
Why use this JSON to SQL tool?
It is 100% private with no file-size cap, and it handles escaping so your data loads safely. Working with other formats? Try JSON to CSV, JSON to Excel, or CSV to JSON. Learn more in our guide on how to convert JSON to SQL.
FAQ
JSON to SQL, answered.
How do I convert JSON to SQL online?+
Paste a JSON array of objects into the converter above, choose your database dialect, and press Convert to SQL. The tool generates a CREATE TABLE statement with inferred column types plus batched INSERT statements. Copy it or download a .sql file. Everything runs in your browser.
Which databases are supported?+
Four dialects: MySQL, PostgreSQL, SQLite, and SQL Server. Each uses the correct identifier quoting (backticks, double quotes, or brackets), data types, and boolean and Unicode literal syntax for that database.
Does it create the table and infer column types?+
Yes. With CREATE TABLE enabled, the tool scans your data and infers a type for each column — integer, floating point, boolean, JSON, or text — mapped to the right type for your chosen dialect. You can also add a DROP TABLE statement first.
How are nested objects and big datasets handled?+
Nested objects and arrays are stored as JSON text (a JSON/JSONB column where the database supports it). For large datasets, INSERTs are grouped into multi-row batches; set the batch size to match your database's limits.
Is my data private?+
Completely. The SQL is generated 100% client-side, so your JSON is never uploaded or stored. It is safe for production data, and there is no file-size cap.