SQL to JSON Converter | Free Online Database Parser

When Do You Need to Convert SQL to JSON?

SQL databases store data relationally — tables, rows, foreign keys. But modern applications consume data as JSON: REST APIs, mobile apps, configuration files, and frontend frameworks all expect JSON. This tool converts SQL INSERT statements directly into valid JSON objects or arrays, bridging the gap between your database exports and the formats your application actually needs.

How to Convert SQL INSERT Statements to JSON

1. Export your data. In MySQL Workbench, phpMyAdmin, or DBeaver, export a table or query result as SQL INSERT statements.
2. Paste the INSERT statements into the left panel of the tool.
3. Click Convert. The tool parses the column names from the INSERT INTO table_name (col1, col2, ...) header and maps each values row into a JSON object.
4. Copy the output — a JSON array of objects, ready for use in your API, seed file, or mock data set.

Example: Input → Output

-- Input SQL
INSERT INTO users (id, name, email, is_active) VALUES
(1, 'Alice', 'alice@example.com', 1),
(2, 'Bob', 'bob@example.com', 0);

// Output JSON
[
  { "id": 1, "name": "Alice", "email": "alice@example.com", "is_active": true },
  { "id": 2, "name": "Bob", "email": "bob@example.com", "is_active": false }
]

Key Conversion Rules

Common Use Cases

1. Seeding a Development Database from Production Data

You’ve taken a production database dump as SQL. Your team’s Node.js/Python seed scripts use JSON fixtures. Instead of writing a migration script, paste the SQL export here, get JSON, and drop it directly into your /fixtures or /seeds folder.

2. Populating a REST API Mock Server

Tools like json-server, MSW (Mock Service Worker), and Mirage.js all use JSON files as their database. Convert your SQL table exports to JSON and have a fully working mock API running in minutes.

3. Migrating to a NoSQL Database

Moving from MySQL/PostgreSQL to MongoDB, DynamoDB, or Firestore? Those databases ingest documents as JSON. Export your relational tables as SQL INSERT statements, convert each table to a JSON array here, then use your NoSQL database’s import tool (e.g., mongoimport) to load the data.

4. Generating Test Fixtures for Unit Tests

Unit tests that hit a database are slow and fragile. Export a representative set of rows as SQL, convert to JSON here, and use the output as in-memory test fixtures — no database connection required during testing.

Supported SQL Dialects

• ✅ MySQL / MariaDB
• ✅ PostgreSQL
• ✅ SQL Server (T-SQL)
• ✅ SQLite
• ✅ Standard ANSI SQL

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Frequently Asked Questions

Does it handle multi-row INSERT statements?

Yes. Both single-row (INSERT INTO ... VALUES (row1)) and multi-row (INSERT INTO ... VALUES (row1), (row2), (row3)) syntax are supported. Each values tuple becomes a separate JSON object in the output array.

What if my SQL has backtick-quoted identifiers?

MySQL uses backticks to escape reserved words in column names (e.g., \`order\`, \`key\`). The converter strips backticks automatically and uses the clean identifier as the JSON key.

Can it handle SQL with comments?

Yes. Both single-line comments (-- comment) and block comments (/* comment */) are ignored during parsing, so you can paste full mysqldump exports without preprocessing.

Is there a size limit?

No server-side limit exists because all processing runs in your browser. Practical limits depend on your browser’s memory. Exports up to several thousand rows process instantly; very large dumps (100K+ rows) may take a few seconds but will complete.