Excel’s row limit is a real constraint
A worksheet stops at 1,048,576 rows. Analytical Parquet files routinely exceed that, in which case the output is truncated with a warning. Filter or aggregate before converting.
Convert Parquet to Excel
Excel cannot open Parquet, and the add-ins that claim to usually want your file on a server first. This converter reads the Parquet file locally and writes a proper workbook with typed cells, so the data lands ready to work with.
- Runs in your browser
- No signup
- No upload
- Free
ParquetExcel
Runs on your deviceCSV
Options
Reading Parquet
Auto-detect reads the first rows and picks the separator that splits them consistently.
Turn off when the file starts straight into data. Columns are then named column_1, column_2, and so on.
Turns "42" into a number and "true" into a boolean. Values with leading zeros stay text so IDs and zip codes survive.
Which worksheet to convert. Filled in once the workbook is read.
Dotted path to the array of records, such as data.items. Leave empty to use the whole document.
Turns {"user":{"id":7}} into a user.id column. Arrays are kept as JSON text.
Pick the encoding the file was written in. Wrong encoding shows up as garbled accents.
Comma-separated words that should become null instead of text.
Writing Excel
Snappy is the default across Spark, DuckDB and pandas. Gzip is smaller but slower to read.
Turns a user.id column back into {"user":{"id":7}}.
Excel needs a byte order mark to open UTF-8 files with accents correctly.
Rows per row group. Larger groups compress better; smaller groups let readers skip more.
Converting…
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Converting Parquet just to look inside it?Open Parquet files directly with ParquetReader — opens Parquet files directly.What happens
How this converter handles Parquet to Excel
- Decompresses the Parquet file and reads the schema from its footer.
- Flattens nested columns into dotted names so nothing is silently dropped.
- Writes typed Excel cells — numbers stay numeric, timestamps become real dates, booleans stay booleans.
- Bolds and freezes the header row.
Format differences
Parquet vs Excel
Typed, compressed, columnar storage built for analytical scans. Spreadsheet workbooks with sheets, formatting and cell types.
| Parquet | Excel | |
|---|---|---|
| Type information | Full — ints, floats, booleans, timestamps, decimals | Per cell — text, number, date, boolean |
| Structure | Columnar, with nested type support | Sheets of rows and columns |
| Compression | Built in (Snappy, Gzip, Zstd) | Zipped XML |
| Typical file size | Typically 5–15% of the CSV | Smaller than CSV, larger than Parquet |
| Schema | Stored in the file footer | None beyond the header row |
| Human-readable | No — binary | Only in a spreadsheet app |
| Tool support | Spark, DuckDB, pandas, BigQuery, Athena | Excel, Google Sheets, LibreOffice |
Worth knowing
What to watch out for
Large integers lose precision in Excel
Excel stores numbers as 64-bit floats and keeps 15 significant digits. INT64 identifiers longer than that will be rounded by Excel itself, regardless of what the file contains.
The workbook is much larger than the Parquet file
Even zipped, .xlsx carries far more overhead than a columnar binary format. Expect a substantial size increase.
When you need this
Common reasons to convert Parquet to Excel
Handing analytical output to a business team
A workbook needs no explanation. A Parquet file needs a tutorial.
Building a chart or pivot table quickly
For a one-off summary, Excel is often faster than writing a query.
Reviewing a sample by eye
Converting a filtered extract is a practical way to review rows manually.
FAQ
Parquet to Excel questions
Is my Parquet file uploaded?
No. The conversion runs in your browser using WebAssembly and JavaScript. The file is read from your disk into a Web Worker, converted in memory, and handed back as a download. It is never sent to a server, so there is nothing for us to store, log or leak.
Can Excel open Parquet files natively?
No. Excel has no Parquet support. Power Query can reach Parquet in some Microsoft 365 configurations, but a converted .xlsx works everywhere without setup. To inspect a Parquet file rather than hand it to a spreadsheet user, ParquetReader opens it directly.
What if the file has more rows than Excel allows?
The output is truncated at the worksheet limit and the conversion warns you. Convert to CSV instead if you need every row in a text format, or filter the data first.
Do I need Python, pandas or an add-in?
No. The Parquet reader runs as WebAssembly inside the page.
Are timestamps real Excel dates?
Yes, written as date-typed cells with a yyyy-mm-dd hh:mm:ss format so they sort and filter correctly.