Convert Insert SQL to JSON Array Online
Data Source
Extract from Web Page
Enter a web page URL containing table data to automatically extract structured data
Paste your Insert SQL data or drag SQL files here
Online Table Editor
Table Generator
How to Quickly Convert Insert SQL to JSON Array Online Format?
1. Upload, paste, or extract Insert SQL from web pages with multiple input methods supported
Paste INSERT SQL statements or upload .sql files. The tool intelligently parses SQL syntax and extracts table data, supporting multiple SQL dialects and complex query statement processing.
2. Modify Insert SQL using our professional online table editor
Edit data using our professional online table editor. Supports deleting empty row data, removing duplicate rows, transposing data, sorting by rows, regex find & replace, and real-time preview. All changes will automatically convert to JSON Array format with simple and efficient operation and precise reliable results.
3. Copy or download JSON Array with multiple export options supported
Generate multiple JSON format outputs: standard object arrays, 2D arrays, column arrays, and key-value pair formats. Supports beautified output, compression mode, custom root object names, and indentation settings, perfectly adapting to various API interfaces and data storage needs.
Note: Our online conversion tool uses advanced data processing technology, runs completely in the browser, ensures data security and privacy, and does not store any user data.
What is SQL format and its application scenarios?
SQL (Structured Query Language) is the standard operation language for relational databases, used for data query, insert, update, and delete operations. As the core technology of database management, SQL is widely used in data analysis, business intelligence, ETL processing, and data warehouse construction. It's an essential skill tool for data professionals.
What is JSON format and its application scenarios?
JSON (JavaScript Object Notation) is the standard table data format for modern web applications, REST APIs, and microservice architectures. Its clear structure and efficient parsing make it widely used in front-end and back-end data interaction, configuration file storage, and NoSQL databases. Supports nested objects, array structures, and multiple data types, making it indispensable table data for modern software development.