Free JSON to CSV Converter — Also Converts CSV to JSON (2026)

JSON to CSV — Complete Guide (2026)

How to Use — Step by Step

1. 1
   Choose direction: Select JSON → CSV or CSV → JSON using the tab buttons at the top.
2. 2
   Choose your delimiter: Select comma (default), semicolon, tab, or pipe from the Delimiter dropdown.
3. 3
   Paste your data: Paste JSON or CSV into the left panel. Output appears live in the right panel.
4. 4
   Check for errors: If there is a red error banner, fix the JSON syntax or CSV format issue shown.
5. 5
   Copy or Download: Use the Copy button for clipboard, or Download to save as .csv or .json file.
6. 6
   Swap and reverse: Click Swap to use the output as new input for round-trip verification or chaining.

Who Uses JSON ↔ CSV Conversion?

Frequently Asked Questions

• What is JSON to CSV conversion?

  JSON to CSV conversion transforms JSON data — typically an array of objects — into a comma-separated values file where each object becomes a row and each key becomes a column header. CSV files can be opened directly in Excel, Google Sheets, and most data analysis tools, making conversion essential for sharing data with non-developers.

• What JSON structure works best for CSV conversion?

  A flat array of objects with consistent keys converts perfectly to CSV — each object maps to one row. Nested objects are automatically flattened using dot notation (e.g., address.city becomes its own column). If keys vary between objects, missing values are output as empty cells. Non-array JSON (a single object) is converted to a two-column key-value table.

• How are nested JSON objects handled in CSV?

  Nested objects are flattened using dot notation. For example, {"address":{"city":"London"}} becomes a column named address.city. Arrays inside objects are serialized as a JSON string in the CSV cell (e.g., ["JS","TS"]). This preserves all data while keeping the CSV structure valid.

• Can I convert CSV back to JSON?

  Yes. Use the CSV → JSON mode. The tool reads the first row as headers (if enabled), then maps each subsequent row to a JSON object. Values are auto-detected as numbers, booleans, or strings — so numeric columns stay numeric in the output JSON. Disable the 'First row is headers' option if your CSV has no header row; columns will be named col0, col1, etc.

• What delimiters are supported?

  This tool supports comma (,), semicolon (;), tab (\t), and pipe (|) delimiters. European spreadsheet software (Excel with regional settings) often uses semicolons instead of commas. Tab-delimited files (TSV) are common in scientific and financial data. Choose the delimiter that matches your target application.

• How are CSV cells with commas or quotes handled?

  Following RFC 4180, cells that contain the delimiter character, double quotes, or newlines are automatically wrapped in double quotes. Any double quotes inside the cell value are escaped by doubling them ("" inside a quoted field). This ensures the CSV is correctly parsed by Excel, Google Sheets, and standard CSV parsers.

• Can I open the CSV in Excel or Google Sheets?

  Yes. Download the converted CSV and open it in Excel (File → Open) or import it into Google Sheets (File → Import). If your data uses semicolons as the delimiter (common in Europe), choose the semicolon option before converting. Excel may need you to specify the delimiter when opening; Google Sheets auto-detects it.

• Is there a file size limit?

  There is no server-side limit because all conversion happens entirely in your browser using JavaScript. The practical limit depends on your browser's memory — files up to several MB convert instantly. For very large datasets (50 MB+), the browser may pause briefly during processing. No data is ever uploaded to any server.

• How does the tool detect data types when converting CSV to JSON?

  The tool applies these rules in order: empty cell → empty string, 'true'/'false' → boolean, integer pattern → number, decimal pattern → float, JSON array pattern (starts with [) → parsed array, everything else → string. This produces clean typed JSON rather than all-string values.

• What happens if JSON objects have different keys?

  All unique keys from all objects are collected into a union set of headers. Objects missing a particular key have an empty cell in that column. This means heterogeneous JSON arrays (where objects have different shapes) are handled gracefully, with no data loss.

• Can I use this for API data export?

  Absolutely. Paste the JSON response from any REST API into the input panel. The tool converts it to CSV instantly with all headers detected. This is the fastest way to turn API data into spreadsheet-ready format for reporting, sharing with stakeholders, or importing into a database.

• Is this JSON to CSV converter free?

  Yes, completely free with no limits, no login, and no data collection. All processing runs in your browser — your data never leaves your device. Convert as many JSON files as you need, download the CSV, and share it freely.