JSON-zu-CSV-Konverter
Paste a JSON array and turn it into a clean CSV. The converter reads an array of objects, builds columns from the keys, flattens nested values, and exports CSV (or TSV, pipe and more) you can open anywhere.
Hier erscheint eine Live-Tabellenvorschau Ihrer Daten.
Paste a JSON array of objects above — the keys become your CSV header row.
Convert JSON text to CSV
APIs and config files speak JSON, but spreadsheets and many tools want CSV. This tool handles the common json to csv job: paste a JSON array of objects and it produces a table where each object is a row and each key is a column.
It collects the union of keys across all objects, so even if some records are missing a field, every column still lines up — missing values become empty cells. Nested objects and arrays are written as compact JSON inside their cell, so no data is silently dropped.
Going the other way? Use text to CSV for delimited input, or export your CSV as an HTML table. For a quick reverse, the converter can output JSON from CSV too.
How to use it
Einfügen oder hochladen
Add your text or drop a file — it is read locally in your browser, never uploaded.
Preview & adjust
Check the live table and the row / column counts, then tweak the delimiter or options if a column looks off.
Copy or download
Grab the result with Copy or Download. You can reopen recent conversions from this device too.
Input and output example
A JSON array of objects becomes a CSV with the keys as the header row.
[{"name":"Ada","age":31},
{"name":"Lin","age":27}]name,age
Ada,31
Lin,27How JSON maps to CSV columns
Understanding the mapping helps you get exactly the table you expect.
Array of objects
The standard input is a JSON array like [{"name":"Ada","age":31}, ...]. Each object becomes a row; the keys (name, age) become the header. Tick Erste Zeile ist Überschrift to keep those names visible in the preview.
Uneven or missing keys
Real data is rarely uniform. If one object has a key another lacks, the converter still includes that column for every row and leaves the cell empty where the value is absent, so the CSV stays rectangular and imports cleanly.
Nested objects and arrays
When a value is itself an object or array, it is serialized as compact JSON within the cell rather than being dropped. If you need those broken into separate columns, flatten the JSON first, then convert.
Choosing the output
CSV is the default, but you can export TSV, pipe, semicolon or a custom delimiter from the same parsed data — handy when the destination is a database load rather than a spreadsheet.
Tips and edge cases
- Wrap multiple records in an array:
[ {...}, {...} ]. - Need nested fields as columns? Flatten the JSON before converting.
- Use Beispiel to load an example JSON array and see the mapping.
JSON Text to CSV Converter — FAQ
What JSON shape does it expect?
An array of objects works best. A single object or an array of arrays is also supported.
How are nested objects handled?
They are written as compact JSON inside the cell. Flatten beforehand if you want them split into columns.
What if records have different keys?
The converter uses the union of all keys and leaves missing values empty, keeping the CSV rectangular.
Is anything uploaded?
No. The JSON is parsed and converted in your browser.