Developers live in JSON; everyone else lives in spreadsheets. When an API hands you an array of records and your colleague needs it in Excel, our free JSON to CSV converter bridges the gap. Paste a JSON array of objects and it produces a properly quoted CSV with a header row built from the object keys, ready to download and open anywhere. Nested values are flattened into readable text, and fields containing commas, quotes or line breaks are quoted exactly as the CSV standard requires.
Quick Answer: Paste a JSON array of objects and click Convert. You get a downloadable CSV with headers from the object keys and correct quoting for commas and quotes inside values.
Free Online Tool
JSON to CSV Converter
From API JSON to spreadsheet-ready CSV in one click.
How to Use the JSON to CSV Converter
- Copy the JSON array from your API response, file or database export.
- Paste it into the input box; the converter validates it before converting.
- Click Convert to CSV and check the preview: the first row is the header built from all object keys.
- Confirm the row and column counts match your expectations.
- Download the .csv file and open it in Excel, Google Sheets or LibreOffice.
Key Features
- Automatic header row gathered from the union of keys across all objects, so sparse records do not lose columns.
- Standards-correct quoting: values with commas, quotes or newlines are wrapped and escaped properly.
- Nested objects and arrays are converted to compact JSON text inside their cell instead of breaking the conversion.
- Validation first: malformed JSON produces a clear error rather than a broken CSV.
- Runs locally, so API data and exports are never uploaded.
Best Practices and Tips
- If your JSON is a single object rather than an array, wrap it in square brackets before converting.
- Open the downloaded CSV by importing it (not double-clicking) if your spreadsheet misreads delimiters or encodings in your locale.
- Rename cryptic API keys in the JSON first if the spreadsheet audience needs friendly column names.
- Check columns where some records lack a key; those cells are intentionally left empty in the CSV.
Common Mistakes to Avoid
- Expecting deeply nested JSON to flatten into many columns automatically; this tool keeps nested structures as text in one cell, which preserves data without inventing a schema.
- Opening the CSV in a text editor and worrying about quotes around values; those quotes are correct CSV behaviour for fields containing commas.
- Converting JSON whose top level is an object with mixed types; the input must be an array of flat-ish objects for a sensible table.
Frequently Asked Questions
What JSON shape does the converter accept?
An array of objects, like [{“name”:”Ali”,”age”:30}, …]. That is the natural shape of API list responses and database exports. A single object can be wrapped in [ ] to make a one-row CSV.
What happens to keys missing in some objects?
The header includes every key found in any object. Objects lacking a key simply get an empty cell in that column, keeping all rows aligned.
How are nested objects handled?
A nested object or array value is written as compact JSON text within its cell, safely quoted. Your data is preserved, and you can expand it later if needed.
Why does Excel show strange characters in my CSV?
That is an encoding mismatch: this converter outputs UTF-8. In Excel, use Data, then From Text/CSV, and choose UTF-8 encoding during import to display characters correctly.
Can I convert the CSV back to JSON later?
Yes, our CSV to JSON Converter performs the reverse trip, recreating an array of objects from the header row and values.
Related Tools
- CSV to JSON Converter – turn CSV spreadsheet data into a clean JSON array of objects
- JSON Formatter & Validator – beautify, validate and minify JSON with precise error locations
- XML Formatter – beautify and validate XML with clean, consistent indentation
- Base64 Encoder / Decoder – encode text to Base64 or decode Base64 strings back to text