How to Use This Tool
Add Your SQL
Type or paste SQL containing INSERT INTO statements directly into the Input textarea, click Upload to pick a .sql or .txt file, drag and drop a file onto the input area, or click URL Import and enter an HTTP(S) URL to fetch a SQL dump from a remote endpoint. The full file is loaded locally and stored in memory for conversion.
Convert to JSON
Click Convert to JSON. The converter scans the SQL for INSERT INTO ... VALUES patterns, walks the column list and value tuples (including multi-row batch INSERTs), coerces unquoted values to typed JSON (NULL, TRUE/FALSE, integers, decimals), keeps quoted strings as strings with embedded apostrophes unescaped, and assembles the result as a JSON array of objects.
Pick Indentation
After a successful conversion, use the Indent dropdown in the output toolbar to choose 2 spaces (default), 4 spaces, or Minified (single-line, no whitespace). The output re-renders instantly with the new indentation. The setting is saved between visits.
Copy or Download
Click Copy JSON to copy the entire output to your clipboard (the button briefly shows "Copied!"), or Download JSON to save it as a data.json file. Click Clear to wipe the input, output, and stats in one action.
Frequently Asked Questions
Is my SQL uploaded to a server?
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No. Your SQL is never sent to our servers - all parsing, value coercion, JSON serialization, copy, and download happen directly in your browser on your device. The only network request the tool ever makes is the one you trigger explicitly with URL Import, which goes from your browser to the URL you enter.
What SQL format is supported?
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Standard INSERT statements with explicit column lists: INSERT INTO table_name (col1, col2, col3) VALUES (val1, val2, val3); Both single-row syntax and multi-row batch syntax (INSERT INTO ... VALUES (...), (...), (...);) are supported. The tool ignores everything outside INSERT statements - so CREATE TABLE, comments, and other DDL are passed over silently.
How are values coerced into JSON types?
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Unquoted values are auto-typed: NULL becomes null, TRUE/FALSE become booleans, integers become JSON numbers, decimals become JSON numbers, and anything else stays as a string. Quoted string values (in single or double quotes) are always kept as strings, even if they look like numbers. Embedded quotes inside a quoted string are unescaped from the doubled form ('' -> ').
Does it handle multi-row INSERT statements?
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Yes. A statement like INSERT INTO users (id, name) VALUES (1, 'Alice'), (2, 'Bob'), (3, 'Charlie'); produces three JSON objects in the output, one per tuple. The tool walks every (...) tuple after the VALUES keyword until it sees a semicolon or another INSERT.
What input file types can I load?
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The Upload picker accepts .sql and .txt files. Drag-and-drop accepts the same. URL Import fetches the file directly from your browser to the target URL - the target site must allow cross-origin requests. You can also type or paste SQL directly into the textarea.
What indentation options are available?
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Three: 2 spaces (default), 4 spaces, and Minified (single-line, no whitespace). Pick from the Indent dropdown in the output toolbar after a successful conversion. The setting is saved between visits.
Will my work be lost if I refresh the page?
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Your settings (indentation) are saved in your browser and restored on the next visit. Your SQL input and generated JSON output are not saved - storing large files on every keystroke would slow the tool down. Re-paste, re-upload, or re-fetch your SQL after a refresh.
What happens with very large SQL files?
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The tool is optimized for big files. The full JSON output is always generated and available via Copy and Download, but the on-screen displays are capped: the input textarea is limited to the first 500 lines and the JSON output preview is also limited to the first 500 lines. The actual parsing and JSON generation runs in the background so the page stays responsive.
What if my SQL has CREATE TABLE or other statements mixed in?
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Those are ignored. The parser scans for INSERT INTO ... VALUES patterns and skips everything else, so a typical SQL dump with CREATE TABLE definitions, comments, and INSERT statements all in the same file works fine - only the INSERTs are converted to JSON.
Convert SQL to JSON Online Free - No Upload Required
Convert SQL INSERT statements into a clean JSON array online for free with this browser-based SQL to JSON converter. Paste a SQL dump, upload .sql / .txt files, drag and drop, or fetch directly from a URL - the converter scans every INSERT INTO ... VALUES pattern, walks the column list and value tuples, coerces unquoted values to typed JSON (numbers, booleans, null), keeps quoted strings as strings, and assembles the result as a JSON array of objects with column names as keys. Your SQL is never sent to our servers. No registration or software installation required.
This online SQL to JSON converter supports both single-row INSERT syntax and multi-row batch INSERT syntax with multiple value tuples in one statement, automatic type coercion for NULL / TRUE / FALSE / integers / decimals, three indentation modes (2 spaces, 4 spaces, minified), paste and Upload and drag-and-drop and URL Import, an Input preview limited to the first 500 lines for responsiveness on huge files, an Output preview also limited to the first 500 lines, object count statistics after conversion, Copy JSON with feedback, Download JSON as a .json file, and a one-click Clear that wipes everything immediately. CREATE TABLE definitions, comments, and other non-INSERT statements in the SQL are silently ignored. Works on huge SQL dumps without freezing the browser.
Features Explained
Background Conversion
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Scanning the SQL for INSERT patterns, walking column lists and value tuples, coercing types, and serializing to JSON all happen in the background without blocking the page. The spinner overlay animates the whole time, you can still scroll and click other tabs, and the browser never marks the tab as unresponsive. This is what makes the tool work on multi-megabyte SQL dumps.
Single-Row and Multi-Row INSERT Support
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Both standard single-row syntax (INSERT INTO t (a, b) VALUES (1, 2);) and multi-row batch syntax (INSERT INTO t (a, b) VALUES (1, 2), (3, 4), (5, 6);) are parsed correctly. A batch INSERT with three tuples produces three JSON objects in the output, one per tuple.
Smart Value Type Coercion
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Unquoted values are auto-typed: NULL becomes JSON null, TRUE/FALSE become booleans, integers (matching -?\d+) become JSON numbers, decimals (matching -?\d+\.\d+) become JSON numbers, and anything else stays as a string. Quoted string values are always kept as strings, even if they look like numbers.
Quoted String Handling
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Both single-quoted ('...') and double-quoted ("...") strings are recognized. Embedded quotes inside a quoted string are unescaped from the standard SQL doubled form ('' -> ') so the JSON output reflects the actual string value. Tabs, newlines, and other whitespace inside quoted strings are preserved.
Column Name Cleaning
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Column names are extracted from the SQL identifier list and stripped of common quoting characters (backticks, double quotes, square brackets) so the JSON keys are clean. For example, `id`, [id], and "id" all become the JSON key id.
Configurable Indentation
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Choose between 2 spaces (default), 4 spaces, or Minified (no whitespace). The Indent dropdown in the output toolbar applies the new indentation immediately without re-parsing the SQL. The setting is saved across visits.
Object Count Statistics
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After conversion, a stats line shows how many objects were parsed (one per INSERT row, including each tuple in a multi-row batch INSERT). Useful for sanity-checking the result before copying or downloading.
Non-INSERT Statements Are Ignored
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The parser scans for INSERT INTO ... VALUES patterns and skips everything else. CREATE TABLE definitions, comments (-- and /* */), DROP statements, and other DDL or DML statements are passed over silently. So a typical SQL dump with schema + data all in the same file works without any preprocessing.
Paste, Upload, Drag-and-Drop & URL Import
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Four ways to load SQL: type or paste straight into the textarea, click Upload to pick a .sql / .txt file, drag a file onto the Input area, or click URL Import to reveal a URL field that fetches the file directly from your browser. URL Import requires the target site to allow cross-origin requests.
Input Preview (limited to 500 lines)
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When you load a large SQL file, only the first 500 lines are shown in the input textarea. The full file is still loaded and used during conversion - the cap is purely a display safeguard to keep the page responsive when the source is multi-megabyte. A notice next to the Input label tells you when the preview is limited.
JSON Output Preview (limited to 500 lines)
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The output panel shows the generated JSON in a read-only text area. For huge outputs the displayed text is limited to the first 500 lines and a notice next to the Output label tells you the preview is limited along with the full row and column count. Copy and Download always work on the full output - the cap is purely a display safeguard.
Loading Spinner Overlays
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When you load a file or fetch a URL, a spinner overlay appears over the Input area with a status message. When you click Convert to JSON, a spinner overlay appears over the Output area until the conversion finishes. This makes it obvious when the tool is working rather than appearing frozen.
Copy JSON with Feedback
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Click Copy JSON to copy the entire generated output to your clipboard. The button label briefly changes to "Copied!" for 1.5 seconds as confirmation, then reverts.
Download as .json File
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Click Download JSON to save the output as a data.json file. The blob is created locally on your device and the temporary object URL is released after the download is triggered.
Settings Saved Automatically
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Your indentation setting is saved in your browser and restored on the next visit. Your SQL input and generated JSON output are not saved - they can be very large, and persisting them on every keystroke would slow the tool down. Re-paste, re-upload, or re-fetch your SQL after a refresh.
One-Click Clear
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Click Clear to wipe the input textarea, the generated JSON, the object count, the URL Import bar, and any error message in a single action. The indentation setting is reset to the 2-space default.
Who Is This Tool For?
Backend Developers
Convert SQL seed data or migration scripts into JSON for use in API responses, test fixtures, or configuration files. Especially useful when porting a SQL-based app to a JSON document store.
Frontend Developers
Take a SQL dump from a backend team and turn it into JSON to mock API responses or seed a local development store without standing up the real database.
Full-Stack Developers
Bridge SQL data and JSON-based frontends - convert database INSERT statements into JSON arrays you can drop straight into a React, Vue, or Svelte component.
Data Engineers
Transform SQL dumps into JSON for loading into document databases (MongoDB, CouchDB), message queues (Kafka), or document-oriented data warehouses.
Data Analysts
Convert legacy SQL exports into JSON for analysis in Pandas, R, or any tool that prefers a list-of-dicts format over a relational table.
Data Scientists
Quickly convert a SQL dump from a colleague into JSON you can read straight into a notebook, without setting up a database connection.
Database Administrators
Export SQL INSERT data as JSON for sharing with teams that work with JSON APIs, document stores, or schemaless systems.
ETL Developers
Convert SQL fixtures or sample data dumps into JSON to feed JSON-oriented stages of an ETL pipeline.
BI Analysts
Convert SQL exports from legacy reports into JSON for ingestion into modern BI tools that prefer document-style input.
DevOps Engineers
Convert SQL seed files into JSON for tools that prefer JSON config (Helm values, Terraform variables, GitHub Actions workflows).
QA Engineers
Convert SQL test data into JSON fixtures for API testing, contract testing, and integration test suites.
Test Automation Engineers
Convert recorded SQL test data into JSON for use in tools like Postman, Insomnia, REST-assured, or any HTTP client that expects JSON bodies.
API Developers
Convert SQL seed data into JSON to mock API responses, populate Swagger/OpenAPI examples, or generate API documentation samples.
GraphQL Developers
Convert SQL dumps into JSON to use as GraphQL test fixtures or to populate a GraphQL mock server.
Mobile Developers
Convert SQL exports into JSON for use as offline-first sample data in iOS, Android, or React Native apps.
MongoDB Migrators
Migrating from MySQL/PostgreSQL to MongoDB? Convert your INSERT statements into JSON documents you can import directly with mongoimport.
Tech Support Staff
Convert customer-supplied SQL exports into JSON for replaying their data into JSON-based systems or sharing with frontend teams.
Open Source Maintainers
Reproduce bug reports that include SQL fixtures by converting them to JSON for tools that don't speak SQL.
Project Managers
Convert SQL data exports into JSON for handing off to teams working in JSON-only stacks, without needing SQL expertise yourself.
Technical Writers
Generate realistic JSON examples for API documentation by converting SQL sample data instead of writing JSON by hand.
CS Students
Learn how SQL INSERT statements map to JSON arrays and objects, how value coercion works, and how relational data fits into a document model.
Educators & Trainers
Demonstrate SQL-to-document mapping, value coercion rules, and the structural differences between relational and document data in databases and web classes.
Database Migrators
When moving from a relational database to a NoSQL store, convert your existing INSERT scripts to JSON to seed the new system with the same data.
Anyone with SQL and a JSON consumer
Whenever you have a SQL dump or INSERT script and the next tool in your workflow expects JSON, this is the fastest way to bridge the two formats.
Tips for Generating JSON from SQL
Use standard INSERT INTO syntax
The parser expects INSERT INTO table (col1, col2) VALUES (val1, val2) format with an explicit column list. INSERT statements without column lists (INSERT INTO table VALUES (...)) cannot be parsed because there are no column names to use as JSON keys.
Multi-row INSERTs work too
A statement like INSERT INTO t (a, b) VALUES (1, 2), (3, 4), (5, 6); produces three JSON objects in the output, one per tuple. You don't need to split your batch INSERT into separate statements.
Quote strings that look like numbers
If a value should be a JSON string but looks like a number (phone numbers, ZIP codes, version strings like '1.2'), wrap it in single quotes in the SQL. Otherwise the coercer will turn it into a JSON number.
Doubled apostrophes are unescaped
SQL escapes a single quote inside a string as two single quotes: 'O''Brien'. The converter unescapes that to the JSON string "O'Brien". You don't need to pre-process the SQL.
CREATE TABLE and other statements are ignored
The parser scans for INSERT INTO ... VALUES patterns and skips everything else. So a typical SQL dump with schema definitions, comments, and data all in the same file works without preprocessing.
Multiple tables are merged
If your SQL contains INSERT statements for different tables, all rows are combined into a single JSON array. If you need separate arrays per table, split your SQL into per-table chunks before converting.
Use Minified for API payloads
Pick the Minified indent option when the JSON will be used in API request bodies, message queue payloads, or anywhere bandwidth and parsing speed matter more than human readability.
Pick 2 or 4 spaces for human reading
If the JSON is for documentation, examples, or any human-readable context, 2 spaces (default) is the most common convention. 4 spaces makes deeply nested structures easier to scan.
Verify the object count after conversion
After clicking Convert to JSON, check the bold object count in the output toolbar. If the number is way lower than expected, your SQL may have INSERT statements without column lists or in a non-standard syntax the parser can't handle.
Use Download for huge outputs
If your JSON has tens of thousands of objects, the on-screen text preview is limited to the first 500 lines. The Download JSON button always saves the full unfiltered output.
Watch out for NULL vs missing values
SQL NULL becomes JSON null. If your downstream system distinguishes null from missing keys, post-process the JSON to delete properties whose value is null.
Re-paste after a page refresh
This tool does not save your SQL or JSON output to localStorage - that decision keeps the tool fast on huge files. Your indentation setting IS preserved.
Supported Input Formats
The Input textarea accepts SQL containing INSERT INTO statements with explicit column lists. Both single-row and multi-row batch INSERT syntax are supported. Non-INSERT statements in the same file (CREATE TABLE, comments, DROP, etc.) are silently ignored.
Value Type Coercion
| SQL Value | JSON Type | Example |
|---|---|---|
| NULL | null | null |
| TRUE / FALSE | boolean | true / false |
| Integer (42, -7, 0) | number | 42 |
| Decimal (3.14, -0.5) | number | 3.14 |
| 'single-quoted string' | string | "Alice" |
| "double-quoted string" | string | "Bob" |
| ''O''Brien'' (escaped quote) | string | "O'Brien" |
You can get SQL into the textarea four ways:
- Type or paste directly into the Input textarea.
- Upload button - opens a file picker scoped to
.sqland.txt. The file is read locally on your device. - Drag and drop - drop a SQL file onto the Input area.
- URL Import - reveals a URL field, then fetches the file directly from your browser to the target URL. The target site must allow cross-origin requests.
JSON Output Format
The output is a JSON array containing one object per INSERT row (or per tuple in a multi-row INSERT):
- Column names from the SQL identifier list become the object keys.
- Identifier quoting characters (backticks, double quotes, square brackets) are stripped from the keys.
- Values are typed automatically: numbers, booleans, null, or string.
- Indentation is configurable: 2 spaces (default), 4 spaces, or single-line minified.
Privacy & Security
This free SQL to JSON converter runs entirely in your browser. Your SQL, generated JSON, and settings are never sent to our servers - all parsing, value coercion, JSON serialization, copy, and download happen on your device. The only network request the tool ever makes is the one you trigger explicitly with URL Import, which goes directly from your browser to the URL you enter.
Your indentation setting is stored in your browser so it persists across page refreshes. Your SQL input and generated JSON output are intentionally not saved - this keeps the tool fast even when you work with very large files. Click Clear to wipe the input, output, and stats immediately. We have no logs, no analytics on your data content, no tracking, and no database.