Pretty-print, minify & validate JSON.
MD5, SHA-256, Base64, URL.
Built with privacy in mind. All processing happens entirely in your browser using open-source libraries.
A JSON to CSV converter moves tabular data between two very different formats. JSON structures data as nested objects and arrays — ideal for APIs and JavaScript — while CSV is a plain grid of rows and columns that every spreadsheet, database, and data analysis tool understands. This tool converts in both directions, so the same dataset can flow freely between them.
The need to translate between these formats shows up constantly in real work. A marketing team receives a JSON export from an analytics platform and wants it in Excel; a developer needs to import a spreadsheet full of records into a database or API; an analyst wants to reshape nested API responses into a flat table they can filter. The pain point is that JSON is often deeply nested, and flattening it by hand is tedious and error-prone. A converter does the flattening automatically, turning a messy structure into a clean, consistent table.
This converter is built for that exact workflow. You paste data, choose the direction, and inspect the structure with a built-in tree viewer before you export, which helps you understand exactly what is being converted. The output is formatted for immediate use in Excel and Google Sheets. Processing happens entirely in your browser, so proprietary or sensitive data is never sent anywhere.
A typical migration goes like this: export from one system, paste the JSON, review the flattened columns in the tree viewer, and paste the CSV straight into a spreadsheet or import tool. The round trip works just as smoothly in reverse when a team hands you a CSV and needs JSON for an API.
Format conversion is also a team boundary. A developer might hand off API data to a colleague who lives in spreadsheets, or a marketer might receive a report that needs to become a feed for another system. Because the tool works in both directions, it acts as a bridge between the JSON world of software and the CSV world of spreadsheets, with the tree viewer making the structure visible before anything is exported.
Who is it for? Developers moving data between systems, analysts preparing datasets, and marketers migrating exports into spreadsheets.
Manually flattening nested JSON is one of the most error-prone tasks in data work. A deeply nested object can multiply into dozens of columns, and getting the hierarchy wrong means exporting a table that is silently missing data. Automating the conversion removes that risk and produces a consistent, predictable result every time, whether you are moving records between an API and a spreadsheet or back again.
The round-trip capability is what saves time across a whole project. Extract data from a database, share it as CSV with a colleague who is not technical, and import their edited version back into JSON for the application, all without writing a script. Processing stays local, so proprietary customer data and internal exports never leave your machine.
Nested objects are flattened into dot-notation columns (e.g., metadata.version). Arrays are preserved as JSON strings.
Yes, free with no signup or limits.
No. Conversion happens locally in your browser.
No hard limit, though very large data sets may slow older devices.
Yes, it works in mobile browsers.
Nested objects are flattened into dot-notation columns such as metadata.version; arrays are kept as JSON strings in a single cell.
Yes — paste JSON and click JSON → CSV, or paste CSV and click CSV → JSON. The tool detects mismatched input and tells you to switch buttons.