How to Convert JSON to SQL
Loading JSON data into a relational database usually means writing a schema and a stack of INSERT statements by hand. This converter does both for you. It parses your JSON array of objects and collects every key across all the records — so objects with different fields still line up — then scans each column to infer a sensible type: INTEGER, DECIMAL, BOOLEAN or TEXT. It emits a CREATE TABLE statement followed by INSERTs, with text safely single-quoted, inner apostrophes doubled, missing values written as NULL, and any nested object or array stored as compact JSON text so nothing is lost. If your array is wrapped inside an object, the tool finds it automatically. Set your table name, choose one INSERT per row or a single fast multi-row INSERT, then copy or download. Everything runs in your browser, so nothing is uploaded.
Paste your JSON
Paste an array of objects or load the sample; it's parsed locally with nothing uploaded.
Set the options
Name the table and toggle multi-row inserts.
Copy or download
Grab the SQL with one tap or save it as a .sql file.
JSON vs SQL — What's the Difference?
JSON — JavaScript Object Notation
A structured format of objects and arrays, great for APIs and code. It holds data but a database can't run it directly — there's no schema or table.
SQL — structured statements
Statements a database runs to build tables and add rows. Converting JSON to SQL turns your records into an explicit, typed table with a CREATE TABLE and INSERTs your engine can execute.
Common Use Cases
Import API data
Turn a JSON API response into a table plus inserts for your database.
Seed a database
Generate schema and data from JSON to seed a dev database.
Bulk loading
Use a multi-row INSERT to load many JSON records quickly.
Prototyping
Spin up a realistic table from a JSON sample in seconds.
Migrations
Move data from JSON-based systems into a relational store.
Test fixtures
Produce repeatable INSERTs from JSON for automated tests.
Data exchange
Convert partner JSON into loadable SQL for your warehouse.
Quick imports
A fast, no-install way to get JSON data into any SQL database.
Tips & Best Practices
Use an array of objects
The cleanest input is a top-level array where each item is an object of fields.
Check the inferred types
Types are guessed from the data; review the CREATE TABLE and adjust if a column needs a different type.
Flatten for real columns
Nested objects become JSON text in one column; flatten your data first if you want separate columns.
Batch inserts for big loads
A single multi-row INSERT is much faster than one statement per row for large datasets.
Review before running
Always sanity-check generated SQL against your database's dialect before executing it.
Watch identifier fields
Numeric-looking IDs become INTEGER and lose leading zeros; keep them TEXT in your schema if that matters.
Troubleshooting
It says the JSON is invalid
The input must be valid JSON. Check for trailing commas, single quotes or unquoted keys, then try again.
It says no objects found
The converter needs an array of objects. A single object is treated as one row; primitives can't become columns.
A number became TEXT
If any value in that column isn't purely numeric — even one — the whole column is typed as TEXT to stay safe.
A column holds JSON text
That value was a nested object or array, stored as JSON in a TEXT column. Flatten the data first for separate columns.
Frequently Asked Questions
How do I convert JSON to SQL for free?
Paste your JSON array of objects above and SQL appears instantly — a CREATE TABLE plus INSERT statements. Copy it or download a .sql file, free and no signup.
What JSON shape does it expect?
An array of objects works best. Each object becomes a row and every key becomes a column.
What if objects have different keys?
All keys across the objects are unioned into the column set, and any object missing a key gets NULL.
Does it create the table too?
Yes. You get a full CREATE TABLE statement with inferred column types, not just the inserts.
How are column types decided?
Each column is scanned across all records and typed as INTEGER, DECIMAL, BOOLEAN or TEXT based on its values.
What happens to nested objects?
A nested object or array in a value is stored as compact JSON text in a TEXT column so nothing is lost.
Are apostrophes handled safely?
Yes. Text is single-quoted and inner apostrophes are doubled, so values like O'Brien don't break the SQL.
What about missing or null values?
They're written as NULL rather than empty strings, which is usually what a database expects.
Can I choose the table name?
Yes. Set any table name; it's sanitised into a valid SQL identifier automatically.
What is a multi-row INSERT?
All rows go into a single INSERT ... VALUES statement, which loads much faster for big datasets.
Which databases does it work with?
The output uses standard SQL that works with MySQL, PostgreSQL, SQLite and more; you may tweak type names for your dialect.
My array is inside an object — will it work?
Yes. The tool automatically finds an array nested inside a wrapper object and converts it.
Is my data sent to a server?
No. Everything happens inside your browser, so your data never leaves your device.
Can I download the result?
Yes. Save the output as a .sql file, or copy it straight to your clipboard.
How large a file can it handle?
It comfortably converts thousands of records, all within your browser.
Can I convert CSV to SQL instead?
Yes — use our CSV to SQL converter for tabular input.
Does it work on phones?
Yes, in any modern browser on Windows, Mac, Android or iPhone with nothing to install.
Is this converter really free?
Completely free, forever — no account, no ads and no premium wall.
100% free · No signup · Processed in your browser · Data never sent
Last updated: August 2026 · FlipMyFormat JSON to SQL Converter
Written and maintained by the FlipMyFormat team · Runs entirely in your browser