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.csv , .tsv

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How to Quickly Convert CSV to JSON Array Online Format?

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

Upload CSV files or directly paste CSV data. The tool intelligently recognizes various delimiters (comma, tab, semicolon, pipe, etc.), automatically detects data types and encoding formats, supporting fast parsing of large files and complex data structures.

2. Modify CSV 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 CSV format and its application scenarios?

.csv .tsv

CSV (Comma-Separated Values) is the most widely used data exchange format, perfectly supported by Excel, Google Sheets, database systems, and various data analysis tools. Its simple structure and strong compatibility make it the standard format for data migration, batch import/export, and cross-platform data exchange, widely used in business analysis, data science, and system integration.

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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