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How to Quickly Convert Excel to JSON Array Online Format?

1. Upload, paste, or extract Excel from web pages with multiple input methods supported

Upload Excel files (supports .xlsx, .xls formats) or copy table data directly from Excel and paste. The tool supports multi-worksheet processing, complex format recognition, and fast parsing of large files, automatically handling merged cells and data types.

2. Modify Excel 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 Excel format and its application scenarios?

.xls .xlsx .xlsm

Microsoft Excel is the world's most popular spreadsheet software, widely used in business analysis, financial management, data processing, and report creation. Its powerful data processing capabilities, rich function library, and flexible visualization features make it the standard tool for office automation and data analysis, with extensive applications across almost all industries and fields.

What is JSON format and its application scenarios?

.json

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.

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