JSON to SQL INSERT
Convert a JSON array of objects into SQL INSERT statements online. MySQL, PostgreSQL, SQLite and SQL Server quoting with batched multi-row inserts.
What is the JSON to SQL INSERT?
The ByteTools JSON to SQL generator turns an array of JSON objects into ready-to-run INSERT statements.
- MySQL, PostgreSQL, SQLite and SQL Server dialects
- Correct identifier quoting and string escaping per dialect
- Batched multi-row INSERTs with a configurable size
- Union of all keys as columns, missing values become NULL
- Nested objects and arrays stored as JSON text
- 100% private — JSON never leaves your browser
How to use the JSON to SQL INSERT
- 1
Paste a JSON array of objects, or drop a .json file to load it.
- 2
Enter the target table name and choose your SQL dialect.
- 3
Set how many rows go in each statement, or switch off multi-row inserts.
- 4
Click Generate INSERTs, then copy the SQL or download it as a .sql file.
About the JSON to SQL INSERT
The ByteTools JSON to SQL generator turns an array of JSON objects into ready-to-run INSERT statements. Every key across your records becomes a column, values are converted to correctly escaped SQL literals, and missing keys are written as NULL so ragged records still line up.
Pick MySQL, PostgreSQL, SQLite or SQL Server and identifiers are quoted the right way for that engine — backticks, double quotes or square brackets. Batch rows into multi-row inserts for speed, or emit one statement per record when you want a readable seed file.
The conversion runs 100% locally in your browser. Nothing is uploaded or stored. Generated SQL is meant for trusted data you control — seeds, fixtures and one-off imports — and is not a substitute for parameterised queries in application code.
Frequently asked questions
How do I convert JSON to SQL INSERT statements?
Paste a JSON array of objects, type your table name, choose a dialect and click Generate INSERTs. Each object becomes a row, each key becomes a column, and you get SQL you can paste into a client or save as a .sql file.
What happens when records have different keys?
The tool takes the union of every key it sees, in first-seen order, and uses that as the column list. Any record missing one of those keys gets NULL in that position, so the statement stays valid.
How are quotes and special characters escaped?
Single quotes inside string values are doubled, and for MySQL backslashes are escaped as well because MySQL treats them as escape characters by default. Numbers and booleans are written as literals for the chosen dialect.
Is generated SQL safe to run against production?
Treat it as a code generator for data you control. Escaping is applied, but building SQL by string concatenation is never a replacement for parameterised queries — always review the script before running it anywhere important.
What happens to nested objects and arrays?
They are serialised to compact JSON and stored as a string literal, which works well with JSON and JSONB columns. Flatten the data first with the JSON Flattener if you would rather have one column per leaf value.
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