SQL to JSON Converter

One-click conversion of SQL files to standard JSON, JSON Array, JSONL(NDJSON), supporting batch/merge/multi-table conversion, compatible with Windows/Mac/Linux

Why Choose Withdata SQL to JSON Converter

Withdata DataFileConverter is a local desktop-level SQL to JSON tool that requires no file uploads, no data leakage risks, supports efficient conversion of extra-large SQL files (>4GB), completes millions of rows of data in 1 minute, and meets the needs of personal development, enterprise data migration, and automated scripting scenarios.

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Cross-Platform Support

Perfectly compatible with Windows, macOS, and Linux systems

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Dual-Mode Operation

Visual GUI click operation + Command Line CLI automatic scheduling

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Privacy & Security

Local offline conversion, no data transmission to the cloud

Fast Processing

Millions of rows of data converted in seconds, supporting extra-large files

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Full Format Coverage

One-click output of standard JSON, JSON Array, JSONL(NDJSON/LDJSON)

Supported Conversion Types (Full Scene Coverage)

  • Single SQL File → Single JSON File
  • Single SQL File → JSON Array (with custom root node name)
  • Single SQL File → JSONL/NDJSON (line-separated JSON, friendly for stream reading)
  • Multiple SQL Files → Merged into One JSON
  • Multiple SQL Files → Batch Convert to Multiple JSON Files (1:1 correspondence)
  • Single SQL with Multiple Tables → Each Table as a Separate JSON File

Visual GUI Conversion Steps (4 Steps to Complete)

Step 1: Create a New Conversion Task

Click "Start a New Convert" → Select source format SQL (File/Files) → Target format JSON (File/Files) → Confirm to enter the wizard 📷

Step 2: Load Source SQL Files

Open local SQL files, automatically parse table structure and data preview; support single file, multiple files, and folder batch import; select tables to convert. 📷

Step 3: Configure Target JSON Parameters

Set output path and encoding (default UTF-8); select JSON format: Array Without Name / Array With Name / JSON Lines; customize field mapping and date format. 📷

Step 4: Start Conversion

Click "Convert Data" to view the conversion progress in real time, and directly open the output file after completion. 📷

Command Line CLI Mode (Automation/Scheduled Tasks)

  1. Save the session file after GUI configuration
  2. Generate .bat (Windows) or .sh (Linux/macOS) script 📷
  3. Support:
    • Windows Task Scheduler
    • Linux/macOS Crontab scheduled conversion
    • Data stream/automated script integration call

Output Format Details

1. Standard JSON (with/without root node)

{ "employees": [ { "DEPARTMENT_ID": 90, "LAST_NAME": "King", "FIRST_NAME": "Steven", "SALARY": 24000, "HIRE_DATE": "1987-06-17T00:00:00.000Z" } ] }

2. JSON Array (without named root node)

[ { "EMPLOYEE_ID": 100, "EMAIL": "SKING" }, { "EMPLOYEE_ID": 101, "EMAIL": "NKOCHHAR" } ]

3. JSONL / NDJSON (line-separated JSON)

{"DEPARTMENT_ID":90,"LAST_NAME":"King","SALARY":24000} {"DEPARTMENT_ID":90,"LAST_NAME":"Kochhar","SALARY":17000}

Frequently Asked Questions (FAQ)

Will converting large files cause lag?
No, it supports extra-large SQL files (>4GB). It uses stream processing that does not occupy memory, and millions of rows of data can be completed in about 1 minute.
Is the data secure?
Completely secure. It converts locally offline without network transmission and does not leave background logs.
Does it support macOS/Linux?
Yes, it provides native versions for Windows, macOS, and Linux.
Can I schedule automatic conversions?
Yes, after saving the session, you can use the command line + scheduled tasks to achieve fully automatic conversion.
Does it support custom date formats?
Yes, you can configure the source date format and the target ISO date format for automatic conversion.

Start Efficient and Secure SQL to JSON Conversion Now

Download DataFileConverter