Parquet Viewer | Open Parquet Files Online

Parquet viewer that opens .parquet files in your browser. Read the schema and row groups, browse and search rows, and export to CSV or JSON. Nothing uploads. Designed specifically for developers and professionals, this free online viewer runs entirely in your browser to process tasks quickly and securely. Enjoy unlimited usage with no data tracking and no registration required.

Also known as: parquet viewer · parquet viewer online · parquet file viewer · open parquet file online · parquet reader online · parquet to csv converter · parquet to json · parquet schema viewer · view parquet file without python · apache parquet viewer

sql and database tools

csv and spreadsheet tools

viewers

Parquet File

Drop a .parquet file here, or click to browse

Read locally with the File API. Nothing is uploaded, and large files are read in blocks.

Rows

Rows from your Parquet file will appear here as a table you can page through, jump around in and search, with the schema and row group statistics in the other tabs.

About Parquet Viewer

A Parquet viewer lets you see what is inside a .parquet file, its columns, types and rows, without starting Python, Spark or a database. This one decodes the file in your browser tab, page by page: you can jump to any of millions of rows, search the whole file and stream the result to CSV or JSON, while memory stays bounded.

Key Features

Decodes SNAPPY, GZIP, ZSTD, LZ4 and LZ4_RAW pages with built-in decoders, so pandas, Polars, Spark and DuckDB output all open
Rebuilds nested LIST, MAP and STRUCT columns as JSON, keeping null lists, empty lists and null elements distinct
Shows the full schema with physical types, logical types such as DECIMAL, TIMESTAMP, DATE and UUID, and repetition levels
Lists every row group with each column's codec, encodings, compressed size, null count and min/max statistics
Pages through every row and searches the whole file in the background, then streams all rows or just the matches to CSV or JSON
Reads multi-gigabyte files in 8 MB blocks behind a 256 MB cache with the File API, so nothing is uploaded to a server

Use Cases

Spot-check a Snowflake COPY INTO unload or a Databricks export before loading it into a warehouse table
Open a file from an AWS Athena or S3 data lake partition to confirm its schema matches the Glue catalog
Verify that a pandas to_parquet or Polars write_parquet job wrote the columns and types you expected
Send a CSV of a Parquet extract to a finance teammate in Chicago who does not have Python installed
Check row group sizes and compression when tuning query cost in Trino, Presto or Amazon Redshift Spectrum

Supported Formats

Parquet (.parquet, .parq, .pqt)

SNAPPY

GZIP

ZSTD

LZ4 and LZ4_RAW

Uncompressed

Data page v1 and v2

Related Keywords

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How do I open a Parquet file without Python?

Drop the file on this page. Parquet keeps its schema in a footer at the end of the file, so the viewer reads that footer first, then decodes each column chunk: it decompresses the pages, expands dictionary and run-length encoding, and rebuilds nested values from the repetition and definition levels. Everything runs in your browser tab, so a file with customer data never leaves your machine. BROTLI and LZO pages are not supported; re-save those files with SNAPPY or ZSTD.

Privacy & Security

All processing happens locally in your browser. Your data never leaves your computer, ensuring complete privacy and security.

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Frequently asked questions

What is Parquet Viewer used for?

Parquet viewer that opens .parquet files in your browser. Read the schema and row groups, browse and search rows, and export to CSV or JSON. Nothing uploads.

Is Parquet Viewer free to use?

Yes. Parquet Viewer is completely free with no usage limits, and there is no paid tier required to use it.

Do I need an account to use Parquet Viewer?

No. Parquet Viewer works immediately in your browser with no signup, login, or email address required.

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