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Convert seamlessly between JSON arrays and CSV tabular data. Ideal for data analysis and software development.
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Bidirectionally convert between JSON and YAML structured data formats, with support for custom output styling.
JSON to C# Class Converter
Automatically convert JSON data into C# class definitions, ideal for .NET developers building data models.
JSON to XML & XML to JSON Converter
A two-way conversion tool for JSON and XML data structures, designed for development, testing, and data processing.
JSON to Java POJO Generator
Automatically convert JSON strings into standard Java POJO class code for API integration, data modeling, and other development scenarios.
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When you need to import program-generated JSON data into Excel for analysis, or convert spreadsheet data into JSON format for an API, manual processing is tedious and error-prone. This tool focuses on solving this pain point by enabling two-way conversion between structured JSON array objects and Comma-Separated Values (CSV) formats. JSON (JavaScript Object Notation) is a lightweight data-interchange format, while CSV is a standard format for storing tabular data in plain text. This tool handles the mapping between these two formats, converting JSON key-value pairs into CSV headers and column values, or parsing each CSV row into a JSON object, ultimately outputting ready-to-use plain text.
[{"name":"John","age":25},{"name":"Jane","age":30}]).name,age
John,25
Jane,30.Q: What structure must the JSON data have for conversion?
It must be a JSON array containing objects. For example, [{"id":1},{"id":2}] can be converted, but a single object like {"id":1} cannot.
Q: Will non-English characters appear as gibberish when converting JSON to CSV?
No. The CSV text generated by the tool uses UTF-8 encoding by default, ensuring all characters display correctly. You just need to select UTF-8 encoding when opening the file in software like Excel.
Please ensure your input JSON syntax is completely valid; missing quotes or brackets will cause the conversion to fail. If the nested structure within the JSON objects is too complex (e.g., containing multi-level nested objects or arrays), the conversion might serialize the entire nested structure into a string within a single CSV cell, which may not be the expected outcome. This tool is best suited for processing flattened arrays of objects. All data processing occurs locally in your browser, so there is no risk of data leaks.
For developers, we recommend "flattening" your JSON data before conversion to unroll nested objects. This is crucial for ensuring that each column in the resulting CSV contains atomic data. A typical example is preprocessing [{"user":{"name":"Alice", "age":30}}] into [{"user_name":"Alice", "user_age":30}] before conversion. This yields "user_name" and "user_age" columns in the CSV, which is much better for data analysis. This tool serves as an efficient bridge between Web APIs (which typically use JSON) and traditional data analysis tools (which typically use CSV).