Does this tool create both SQL schema and INSERT statements?
Yes. The tool generates CREATE TABLE output and INSERT statements together, and you can switch the SQL view between the combined output, just the schema, or just the inserts.
JSON to SQL Converter
Convert JSON into editable SQL schema and INSERT output for PostgreSQL, MySQL, and SQLite with dataset-path selection, row preview, schema profiling, and local-only browser processing.
JSON Input
JSON: validDialect: postgresqlNested: flatten + JSONInput: 125 B
All processing happens locally in your browser. No data is uploaded or stored.
Paste valid JSON to generate editable SQL schema and insert statements.
SQL Output
JSON: validPath: (root)Dialect: postgresqlRows: 0Columns: 0Included: 0Batch: 500Tx: offRun: mainDuration: 0ms
SQL output will appear here as soon as the JSON input is valid and processed.
JSON: validDialect: postgresqlNested: flatten + JSONInput: 125 B
All processing happens locally in your browser. No data is uploaded or stored.
Paste valid JSON to generate editable SQL schema and insert statements.
How to Use
- Paste JSON into the input panel or upload a local JSON file.
- Pick an import preset, SQL dialect, nested-data strategy, and batch settings if you need something other than the defaults.
- Select the dataset path when your JSON has more than one candidate array of rows.
- Review the dataset preview and schema profiler to confirm the row shape, included columns, and inferred SQL types.
- Copy or download the full SQL bundle, just the CREATE TABLE statement, or just the INSERT output.
Related Tools
Frequently Asked Questions
How does nested JSON work in the SQL converter?
By default the converter flattens nested object leaves into columns when that stays clean. Arrays and more complex nested values fall back to JSON or text columns depending on the selected SQL dialect and mode.
Which SQL dialects are supported?
V1 supports PostgreSQL, MySQL, and SQLite. The converter adjusts identifier quoting, data types, booleans, and JSON fallback columns for each dialect.
Can I edit the generated schema before copying the SQL?
Yes. The schema tab lets you rename columns, adjust SQL types, toggle nullability, choose the primary key, include or exclude columns, and inspect sample values before copying or downloading the final SQL.
Can I preview the selected dataset before exporting SQL?
Yes. The schema workspace includes a compact dataset preview so you can confirm the selected rows and visible columns before you finalize the SQL output.
Does the tool support batch inserts and transaction wrappers?
Yes. You can choose batch sizes for multi-row INSERT statements and optionally wrap the generated SQL in a transaction, which is useful for seed scripts and stricter import flows.
Is my JSON sent to a server?
No. Validation, flattening, schema inference, and SQL generation all happen locally in your browser. No data is uploaded or stored.