JSON to CSV Converter - Online Free Data Translator
Easily convert JSON data arrays into CSV format for Excel or database import. Handles nested structures with flattening options. All conversions happen locally, no data uploaded.
UD5 Toolkit
Paste nested JSON, instantly flatten objects, preview as table & export to CSV
| No data yet. Paste JSON and click Flatten & Convert. |
JSON flattening is the process of converting nested JSON objects into a flat, single-level structure. Nested keys are joined using a separator (like a dot), so {"user":{"name":"John"}} becomes {"user.name":"John"}. This makes the data compatible with tabular formats like CSV and spreadsheet applications.
When a field contains a nested array, this tool serializes it as a JSON string so it fits into a single table cell. For example, ["red","blue"] becomes the string ["red","blue"] in the CSV. This prevents unexpected row multiplication while preserving all data.
Yes. Downloaded CSV files include a UTF-8 BOM (Byte Order Mark) so Excel can correctly interpret special characters, accented letters, and non-Latin scripts. Fields containing commas, quotes, or line breaks are properly escaped according to RFC 4180.
The tool automatically collects all unique key paths across every object in your array. If a particular object is missing a key that others have, that cell is simply left empty. This ensures no data is lost even with irregular JSON structures.
Absolutely. If you paste a single JSON object like {"name":"Alice","age":30}, the tool automatically wraps it into a one-row table. The same flattening logic applies to any nested fields within that object.
The default is a dot (.), producing keys like address.city. You can switch to underscore (_), double underscore (__), or arrow ( > ) depending on your needs. Underscores are popular for database column names and SQL imports.
No. All processing happens entirely in your browser using client-side JavaScript. Your JSON data never leaves your device. This means the tool works offline, is fast, and your sensitive data remains completely private.
Since processing is done in-browser, the practical limit depends on your device's memory and browser performance. Most modern browsers handle JSON arrays with thousands of objects and dozens of columns without issue. For very large datasets (100k+ rows), consider using a dedicated data processing tool.
Easily convert JSON data arrays into CSV format for Excel or database import. Handles nested structures with flattening options. All conversions happen locally, no data uploaded.
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