ParquetView
Open Parquet online
Drop a .parquet file into the grid. Inspect schema, nulls, row groups, and values without pandas or Spark.
Free online Parquet viewer
See inside Parquet files in your browser.
ParquetView is a private Parquet file viewer with a data grid, DuckDB SQL, charts, and CSV/JSON export. Local files never leave this device. No install, no account.
- No upload for local files
- No account
- SQL in the browser
- Export CSV, JSON, Parquet
A viewer that behaves like a small warehouse.
Column types stay visible. SQL is real DuckDB. Export honors the filter you already ran.
SQL on the file
Filter, join, aggregate, and window in the SQL tab. History is stored in this browser only.
Charts and stats
Histograms, bar/line/scatter charts, and column summaries for numeric and text fields.
Export what you see
CSV, JSON, or Parquet — including Snappy, Gzip, and Zstd. Hidden columns and active filters are respected.
How it works
Drop a file
Parquet, CSV, TSV, or JSON. Processing starts in the browser with DuckDB WASM. There is no upload step for local files.
Browse, filter, or query
Scroll the grid, filter a column, search across fields, or write SQL. Large files preview first so the tab stays usable.
Chart or export
Build a quick chart, then download CSV or JSON for a spreadsheet, or Parquet to send downstream.
Guides
What is a Parquet file?
Why .parquet is columnar, compressed, and unreadable in a text editor — and how to look inside one.
Open a Parquet file
Open .parquet in Chrome, Safari, Firefox, or Edge with nothing to install.
Parquet to CSV or JSON
Filter the rows you need, then export a spreadsheet-friendly file.
Query Parquet with SQL
Run DuckDB SQL against a local file, including joins across files.
FAQ
Can I open a Parquet file online for free?
Yes. ParquetView is a free online Parquet viewer. Open the viewer, drop a .parquet file, and browse rows, schema, and stats. No account is required.
Does ParquetView upload my file?
No. Local files are read with the File API and queried with DuckDB WebAssembly inside your browser. The file contents are not sent to parquetview.com. Optional features (Azure Blob, or Gemini if you paste your own API key) only run if you turn them on.
How do I convert Parquet to CSV?
Open the file in the viewer, check the grid, then use Export and choose CSV. You can filter, hide columns, or run SQL first so the CSV only contains the rows you need. JSON and Parquet export work the same way.
Can I run SQL on a Parquet file in the browser?
Yes. The SQL tab uses DuckDB in WebAssembly. SELECT, JOIN, GROUP BY, window functions, and CTEs all run on your machine. Press Ctrl+Enter or Cmd+Enter to run a query.
What file types does ParquetView support?
Parquet, CSV, TSV, TXT, and JSON. You can also merge or join multiple files and export back to CSV, JSON, or Parquet.
Do I need Python, Spark, or pandas?
Not to look inside a file. ParquetView is for inspection, SQL, charts, and export. Use pandas or Spark when you are writing a pipeline — not when you just need to see what is in a .parquet.
Open a file in 10 seconds.
The viewer runs in this browser. Your Parquet file is not posted to our servers.