Generate SQLite INSERT statements from JSON records
JSON to SQL writes record data as SQLite INSERT literals. It is useful for a small data seed or for inspecting how a tabular JSON set maps to SQL columns.
When should you use it?
- Seed a local SQLite table with example rows.
- Review the SQL representation of API records.
- Move a small JSON record set into a database workflow.
Example: export one SQLite row
The tool quotes identifiers and strings. Create a compatible table before importing the statement.
{"name":"Alex","score":42}-- SQLite INSERT statements; missing values become NULL.
INSERT INTO "data" ("name", "score") VALUES
('Alex', 42);Review how JSON values become SQL literals
The generated statements target a table named data. Strings are quoted as SQL text, booleans become 1 or 0, missing fields become NULL, and nested arrays or objects become JSON text inside a cell. That last case preserves a textual value rather than creating related database tables. Decide which columns should contain JSON and which need a normalized schema.
Apply the target table contract before running SQL
The converter does not create your table or check foreign keys, unique constraints, defaults, or column types. Inspect the column list and literals against the intended SQLite schema, then test in a disposable database or transaction. These statements are useful for reviewed seed data. Application code handling changing input should use database parameter binding rather than assembling SQL by string concatenation.
How do I create SQLite INSERT rows from JSON records?
Provide record-shaped JSON and export the SQL. Top-level names become quoted columns in an INSERT INTO "data" statement. Missing fields become NULL, booleans map to 1 or 0, and nested structures become JSON text.
SQLite statement for a single record
sqlINSERT INTO "data" ("name", "score") VALUES
('Alex', 42);Create a compatible data table before running this statement. Inspect string quoting and type mappings against the destination schema.
Can I use the output unchanged with PostgreSQL or MySQL?
The exporter targets SQLite-style literals and identifiers. Other databases have different type systems and import rules, so adapt and test the statements there.
What should you check before using the result?
Create a compatible table before running the statements. This is not a general schema generator or a lossless round trip through arbitrary SQL types.
Understand JSON syntaxTechnical reference: SQLite INSERT statement reference