How do I turn a JSON array into SQL INSERT statements?

Paste an array like [{"id":1,"name":"Ada"},{"id":2,"name":"Linus"}] into the input box, type a table name, and the tool emits INSERT INTO users (id, name) VALUES (1, 'Ada'), (2, 'Linus'); for that data. Columns come from the union of every key, so a row missing a field still maps cleanly with NULL in that slot. Pick MySQL, PostgreSQL or SQLite to match your target, then copy the result.

A string value has a single quote in it, will the SQL break?

No. A single quote inside a string is the one thing that breaks naive JSON-to-SQL, so the tool doubles every inner quote, which is the SQL standard escape. A name like O'Brien becomes the literal 'O''Brien', and a value such as it's done becomes 'it''s done'. The doubled quote is two single quotes, not a double-quote character, so it parses as one apostrophe inside the string and never closes the literal early.

What is the difference between MySQL and PostgreSQL identifier quoting?

MySQL wraps table and column names in backticks like `order`, while PostgreSQL and SQLite use double quotes like "order". This only matters when a name is a reserved word or contains spaces, but using the wrong quote character on the wrong engine is a syntax error. Set the dialect and the tool quotes identifiers the right way, and also switches booleans to TRUE/FALSE on PostgreSQL versus 1/0 on MySQL and SQLite.

How are nested objects and arrays stored?

A nested object or array can not sit in a single relational column on its own, so the tool serializes it to a JSON string and stores it in one column. A value like {"city":"London","zip":"EC1"} becomes the literal '{"city":"London","zip":"EC1"}'. On MySQL or PostgreSQL you can declare that column as JSON or JSONB and the string loads fine. If you need nested data split into real columns, flatten the JSON first with a JSON to CSV step.

Can I merge all rows into one multi-row VALUES statement?

Yes. Turn on the multi-row toggle and the tool produces a single INSERT INTO t (cols) VALUES (...), (...), (...); instead of one statement per row. A single multi-row INSERT loads much faster than hundreds of separate statements because the database parses and commits once. Leave the toggle off when you want one INSERT per line, which reads better in a migration file and gives a cleaner git diff.

Seed a database from an API response

You hit an API in development, got back a JSON array of users or products, and now you want that exact data in your local database. Paste the response, set the table name, pick your dialect, and you have INSERT statements that recreate the dataset in seconds. No writing a one-off import script, no manually quoting fifty strings.

Build migration or seed files for a project

A framework migration wants raw SQL to seed reference data such as countries, plans or feature flags. Keep the source as readable JSON, run it through the converter with one INSERT per row, and paste the output into the migration. When the data changes you edit the JSON and regenerate instead of hand-patching SQL.

Move data between two databases by hand

You exported a table from one system as JSON and need it in another engine. Switch the dialect to the target, generate the INSERTs, and the identifier quoting and boolean style come out correct for that engine, so a MySQL export drops cleanly into PostgreSQL without you rewriting backticks into double quotes.

Bulk load test fixtures fast

QA needs a few hundred rows of realistic data in a test database before a run. Generate the JSON once, flip on the multi-row toggle for a single batched INSERT, and the whole fixture loads in one statement that the database parses and commits once instead of row by row.

JSON to SQL Converter: JSON Array to INSERT Statements

Turn a JSON array into ready-to-run INSERT statements, MySQL / PostgreSQL / SQLite dialects, browser-only

Runs locally
Category Format Converter
Best for Turning pasted content or local files into a handoff-friendly format.

Table nameDialectMerge into one multi-row INSERT

JSON input

SQL output

What this tool does

Paste a JSON array of objects and get clean SQL INSERT statements you can run straight in your database client. The tool takes the union of every key across all rows as the column list, so objects with missing or extra fields still line up into one consistent table. Values are escaped the way SQL actually expects: strings are single-quoted with any inner quote doubled to '', numbers are written bare, booleans become TRUE/FALSE on PostgreSQL or 1/0 on MySQL and SQLite, null becomes NULL, and nested objects or arrays are stored as a JSON string in one column. Pick your dialect to control identifier quoting (backticks for MySQL, double quotes for PostgreSQL and SQLite) and the boolean style. Choose one INSERT per row for readable diffs, or merge everything into a single multi-row VALUES statement for a faster bulk load. Bad JSON gets a plain-language error instead of a silent empty box. Everything runs in your browser, one-click copy, nothing is uploaded.

Tool details

Input: Files + Text + Structured content; The page exposes text boxes, numeric controls, file pickers, or structured inputs depending on the tool.
Output: Live result + Copy + Download; The result area focuses on usable output, with copy, download, or preview actions when supported.
Privacy: Browser-side processing; The main tool logic does not call an external API, so inputs normally stay in the current tab.
Save / share: Shareable URL state; Key settings are encoded in the URL so another person can reopen the same setup.
Performance budget: Initial JS <= 9 KB; No WASM budget is declared, keeping the tool quick to open on mobile.
Best fit: Format Converter · Developer; Category and role tags drive related tools, internal links, and quick fit checks.

How to use

1. Input

Paste or drop your content into the tool panel.
2. Process

Click the button. All processing is local in your browser.
3. Copy / Download

Copy the result or download to disk in one click.

How JSON to SQL Converter fits into your work

Use it when the main problem is getting content from one practical format into another.

Conversion jobs

Turning pasted content or local files into a handoff-friendly format.
Previewing a conversion before you use it in a larger workflow.
Cleaning small format mismatches without opening a full editor.

Conversion checks

Try a small sample first when the source format is messy.
Check character encoding, separators, and line endings after conversion.
Keep the source until the converted output has been reviewed.

Good next steps

These links move the current task into a more complete workflow.

Real-world use cases

Seed a database from an API response
You hit an API in development, got back a JSON array of users or products, and now you want that exact data in your local database. Paste the response, set the table name, pick your dialect, and you have INSERT statements that recreate the dataset in seconds. No writing a one-off import script, no manually quoting fifty strings.
Build migration or seed files for a project
A framework migration wants raw SQL to seed reference data such as countries, plans or feature flags. Keep the source as readable JSON, run it through the converter with one INSERT per row, and paste the output into the migration. When the data changes you edit the JSON and regenerate instead of hand-patching SQL.
Move data between two databases by hand
You exported a table from one system as JSON and need it in another engine. Switch the dialect to the target, generate the INSERTs, and the identifier quoting and boolean style come out correct for that engine, so a MySQL export drops cleanly into PostgreSQL without you rewriting backticks into double quotes.
Bulk load test fixtures fast
QA needs a few hundred rows of realistic data in a test database before a run. Generate the JSON once, flip on the multi-row toggle for a single batched INSERT, and the whole fixture loads in one statement that the database parses and commits once instead of row by row.

Common pitfalls

Hand-escaping string quotes yourself. People try to replace one single quote with a backslash like \', which works in some languages but is not SQL standard and breaks on strict modes. The correct escape is doubling the quote to '', which this tool does for you, so leave the raw value alone in your JSON.
Using the wrong identifier quote for the engine. Backticks are MySQL only. Pasting a MySQL-style `order` column into PostgreSQL is a syntax error. Set the dialect first so the table and column names come out wrapped in the quote character your engine accepts.
Expecting nested objects to become separate columns automatically. A nested object lands in one column as a JSON string, not as flattened sub-columns. If you need addr.city as its own column, flatten the JSON before converting rather than assuming the SQL layer will unpack it.

Privacy

The JSON you paste, the table name and every generated statement stay in your browser tab. Parsing, escaping and SQL generation are plain JavaScript with no network call and no logging of what you converted. One caveat: the input, table name and options are mirrored into the URL so a share link reopens the same conversion, which means a link pasted into chat records that data in the recipient server's access log. For sensitive production rows use the copy button and paste the SQL directly instead of sharing the URL.

FAQ

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JSON to SQL Converter: JSON Array to INSERT Statements

What this tool does

Tool details

How to use

1. Input

2. Process

3. Copy / Download

How JSON to SQL Converter fits into your work

Conversion jobs

Conversion checks

Good next steps

Real-world use cases

Seed a database from an API response

Build migration or seed files for a project

Move data between two databases by hand

Bulk load test fixtures fast

Common pitfalls

Privacy

FAQ

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