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SQL to JSON Converter

Convert raw SQL INSERT statements, database dumps, and ASCII query result tables into structured JSON arrays and TypeScript interfaces.

Private by default. Processing happens in your browser.

  1. Add your inputChoose a file, paste content, or enter details.
  2. Choose settingsReview the useful defaults, then adjust if needed.
  3. Save the resultCopy or download the finished output.

SQL to JSON Converter

SQL INSERT

5 rows parsed · 7 columns · Table: products

Load Preset:
100% In-Browser Execution
SQL Input Query
623 chars
Conversion Settings
[
  {
    "`sku`": "PROD-1001",
    "`name`": "Wireless Noise-Cancelling Headphones",
    "`category`": "Audio",
    "`price`": 199.99,
    "`stock_quantity`": 45,
    "`is_active`": 1,
    "`created_at`": "2026-01-15 10:30:00"
  },
  {
    "`sku`": "PROD-1002",
    "`name`": "Ultra-Wide 34-Inch Curved Monitor",
    "`category`": "Displays",
    "`price`": 599.5,
    "`stock_quantity`": 12,
    "`is_active`": 1,
    "`created_at`": "2026-01-18 14:15:00"
  },
  {
    "`sku`": "PROD-1003",
    "`name`": "Ergonomic Split Mechanical Keyboard",
    "`category`": "Peripherals",
    "`price`": 149,
    "`stock_quantity`": 80,
    "`is_active`": 1,
    "`created_at`": "2026-02-01 09:00:00"
  },
  {
    "`sku`": "PROD-1004",
    "`name`": "USB-C Multi-Port Hub (10-in-1",
    "`category`": "",
    "`price`": "",
    "`stock_quantity`": "",
    "`is_active`": "",
    "`created_at`": ""
  },
  {
    "`sku`": "PROD-1005",
    "`name`": "High-Precision Wireless Mouse",
    "`category`": "Peripherals",
    "`price`": 79.99,
    "`stock_quantity`": 120,
    "`is_active`": 1,
    "`created_at`": "2026-02-14 11:20:00"
  }
]
Output Payload: 1.1 KB · 5 ObjectsUTF-8 Encoded
100% Private

Client-Side Processing

Your database queries, dump files, and records are converted locally in your browser. No server logging or external transmission.

Zero cloud storage or leaks
Universal

Multi-Dialect Compatibility

Parses MySQL backticks, PostgreSQL double quotes, SQLite dumps, and ASCII CLI table outputs with nested JSON string extraction.

MySQL · Postgres · SQLite · CLI
TypeScript

Automatic Type Inference

Generates ready-to-use TypeScript interfaces ("interface Record { ... }") and supports instant casing conversions like camelCase and snake_case.

JSON · NDJSON · TypeScript .d.ts
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Browse every browser tool

Bridge the gap between SQL databases and modern APIs

Designed for developers, data engineers, and backend architects migrating SQL queries to JSON APIs.

Multi-Dialect SQL Parsing

Seamlessly converts MySQL, PostgreSQL, SQLite, and SQL Server `INSERT INTO` queries and dump files.

ASCII Table Support

Paste terminal query result tables (`+----+-------+` or pipe grids) directly from database CLI shells.

TypeScript Interface Generation

Infers schema column types across all rows to automatically generate clean, typed TypeScript definitions.

Casing Conversions

Instantly transform database column names to `camelCase`, `snake_case`, `kebab-case`, or `PascalCase`.

Multiple Output Structures

Export as standard JSON arrays, Keyed Objects (by primary key), or NDJSON (streaming newline-delimited JSON).

100% Client-Side Privacy

Your database records and queries execute locally in JavaScript. No data is ever logged, stored, or sent to a server.

Frequently asked questions

How does the SQL parser work?
The tool extracts table names, column identifiers, and tuple values from SQL `INSERT INTO` statements using a robust tokenizer that handles escaped quotes (`''`, `\'`), nested JSON strings, numeric types, booleans (`true`/`false`/`1`/`0`), and `NULL` values.
Can I convert CLI terminal table output?
Yes! If you run queries in MySQL, PostgreSQL (`psql`), or SQLite CLI shells and copy the ASCII formatted box grid output, the converter automatically detects the header and separator rows to construct clean JSON.
How does the TypeScript interface generation work?
The generator scans values across all rows for each column to determine whether fields contain strings, numbers, booleans, nested JSON objects, or null values, generating type-safe unions like `string | null`.
What is NDJSON format and when should I use it?
NDJSON (Newline Delimited JSON) outputs each record on a separate line as a standalone JSON object. It is ideal for streaming large datasets, bulk Elasticsearch indexing, and Google BigQuery uploads.
Is my proprietary database data safe?
Yes, completely. All parsing, schema inference, and JSON downloads happen entirely in your browser's V8 JavaScript engine with zero server communication.

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