JSON to SQL INSERT Generator
Turn JSON object arrays into PostgreSQL or SQLite INSERT drafts with exact number tokens, safe literal quoting, batch sizes, missing-value controls and optional transactions.
Settings
Try the example or enter your own settings.
This tool generates SQL without connecting to a database or executing anything. Review target column types, constraints and generated literals before running it. PostgreSQL uses explicit E string literals; numeric text is preserved but a database can still round or reject it.
Using JSON to SQL INSERT Generator
Turn JSON object arrays into PostgreSQL or SQLite INSERT drafts with exact number tokens, safe literal quoting, batch sizes, missing-value controls and optional transactions.
- Paste an array of JSON objects and choose PostgreSQL or SQLite. CSV input can first be converted with CSV to JSON.
- Set the table, optional PostgreSQL schema, batch size and policies for missing or nested values.
- Generate and inspect the SQL. Copy or download it, then review types and constraints in your own database environment before executing.
Example
Try the included editable example. Set the table, optional PostgreSQL schema, batch size and policies for missing or nested values.
Questions & answers
Will it insert anything into my database?
No. It creates SQL text locally; no connection or SQL execution occurs.
Are large JSON numbers preserved?
Their exact tokens are carried into the SQL draft without conversion to JavaScript Number. The target SQL type and database numeric limits still determine storage precision.
How are strings and identifiers quoted?
Table/column identifiers use doubled double quotes. PostgreSQL strings use E literals with escaped backslashes, apostrophes and common controls; SQLite strings use doubled apostrophes. NUL and control characters in identifiers are rejected.
What if rows have different fields?
Columns are collected in first-seen order across all rows. Missing values become NULL by default; choose rejection to require every field in every row. No DEFAULT values or schema creation are generated.
How are nested objects handled?
They are rejected by default. The JSON text option serializes them exactly into a string literal; you must choose a compatible target column type yourself.
What limits apply?
Use 1–2,000 objects, at most 100 unique columns and 250,000 characters. Names are capped at 63 UTF-8 bytes. Batch size is 1–500; the preview shows at most 100 rows and 8 columns. Ignore-conflict modes can skip data and require careful review.
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