Convert JSON to Excel
Upload a .json or .ndjson file and get back a Excel file. Types are preserved rather than flattened to text. Free, no registration, up to 10MB.
Click to upload or drag and drop
CSV, Excel, SQLite, SQL, DBF (max 10 MB)
How your data is typed in Excel
Generated from the converter's own Excel type mapping — this is what it actually emits, not an example.
| Your data | Excel type |
|---|---|
| Whole number | number |
| Decimal (money) | number |
| Floating point | number |
| True / false | boolean |
| Date | date |
| Date and time | date |
| Short text | text |
| Long text | text |
| Binary data | hex text |
Working from a .json file
A .json file can be almost any shape, and only a few of those shapes are a table. What the reader accepts, and what it does with the rest, is the thing worth knowing before you upload one.
- →A wrapper is unwrapped only when the object has exactly one key and that key holds a list of objects. {"meta": {...}, "data": [...]} has two keys, so it is read as a single row instead.
- →An array of strings, or an array of arrays, is refused with "Expected a JSON array of objects" - there are no column names in it to build a table from.
- →Columns are the union of the keys seen in the first 10,000 records, in the order they first appear. A key that shows up only after that is not part of the table.
What opens the converted workbook
Choosing Excel as the target puts no copy of Excel anywhere in the process: the workbook is assembled on the server by a library and handed over finished. What that library writes is what decides how the result behaves when you open it.
- →The output is .xlsx, the OOXML format, and only that. There is no .xls option, so a machine that can open nothing newer than Excel 97-2003 needs the CSV target and a save from there instead.
- →Values are the only thing written. No formulas, no macros, no charts, no column widths, no frozen header row - which is why the first thing most people do with it is widen a column. If Excel opens it in Protected View, that is the mark of the web on a downloaded file rather than anything in the workbook.
- →A conversion is capped at a million rows across all of its tables, and a worksheet holds 1,048,576, so no table can ever arrive too tall for the sheet it is being written into.
Reading JSON
- →JSON types are trusted: 1 and "1" stay different things.
- →Numbers with a decimal point are read as exact decimals rather than floats.
- →Both an array of objects and newline-delimited JSON work, and a wrapped array like {"data": [...]} is unwrapped automatically.
- →Nested objects are kept as JSON rather than flattened into invented column names.
Writing Excel
- →One file per table. Booleans stay booleans and numbers stay numbers.
- →Excel has no fixed-point type, so decimals become numbers — use a database target if exactness matters.
What you get
A ZIP containing <table>.xlsx. If anything about your data needed a judgement call, a _warnings.txt explains it.
Questions
- Is converting JSON to Excel free?
- Yes. Files up to 10MB convert free with no account. There is a limit of five conversions per day per IP address.
- Will my JSON data keep its types in Excel?
- Yes — that is the point. Whole numbers, decimals, dates and booleans are mapped to real Excel types rather than everything becoming text. The mapping table above shows exactly what you get.
- Do you store my file?
- No. The file is written to a temporary directory, converted, and the directory is deleted as soon as your download has been sent.