Parquet Viewer & Converter
100% private — runs on your device, never uploaded. Works offline once loaded.
Parquet is how data engineers store tables, and it is unreadable to anyone without Python or Spark to hand. Drop one in here to see its schema — column names and types — and scroll through every row, then convert it to CSV, Excel or JSON for whoever needs it. It is read column by column by the same engine the data tools use, directly from your disk, so even large files open quickly and nothing is uploaded.
Frequently asked questions
Is my file uploaded?
No. It is read inside your browser tab, straight from your disk.
Which compression codecs are supported?
The common ones, including Snappy, Gzip and Zstandard, through DuckDB’s Parquet reader.
Can I query or filter it first?
Yes — open it in Data Studio to filter, aggregate or write SQL against it before exporting.
Why can’t I download a large file as Excel?
Excel allows 1,048,576 rows per sheet, and a file with more rows would be cut short. Download CSV or JSON, which keep every row.
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