Filewisp

Parquet to CSV Converter

Convert Parquet files to CSV online for free. No upload required — runs entirely in your browser. Great for AWS, BigQuery, and Spark data workflows.

Checks before and after data conversion

1Before converting

  • Keep the source file and confirm its encoding and data format.
  • Check whether the first row contains headers and whether field names look correct.
  • For personal or sensitive data, confirm where processing happens and who will receive the output.

2After converting

  • Use the preview to verify text, column names, and row counts.
  • Open the result in Excel or the destination system and check dates and long numbers.
  • Save the converted file under a new name so it can be compared with the source.

Common next steps

Fix CSV Encoding

Fix CSV character encoding before opening the data in Excel or continuing the workflow.

JSON to CSV

Turn JSON into a portable CSV for spreadsheets and downstream systems.

Why convert Parquet to CSV?

Parquet is a columnar storage format widely used in data platforms like AWS S3, BigQuery, and Apache Spark. While great for analytics, it can be hard to inspect or share with colleagues who use Excel or other tools. This converter lets you turn Parquet files into CSV directly in your browser — no server upload required.

When Parquet to CSV is useful

It is useful when you want to inspect data from AWS Athena, S3, or BigQuery without spinning up a query engine, when you need to share results with stakeholders who use spreadsheet tools, or when you are debugging a data pipeline and want to quickly check column values.

Since this tool runs entirely in your browser, it is safe for sensitive or confidential datasets.

Parquet vs CSV

Parquet is a columnar, compressed format optimized for large-scale data reads and aggregations. CSV is a plain-text format that is human-readable and compatible with nearly every tool.

Converting from Parquet to CSV typically increases file size because CSV has no compression. For very large files, the conversion may take some time.

Things to know before converting

  • Nested columns and Map types may not convert cleanly into a flat CSV structure.
  • NULL values are output as empty fields.
  • Dates and timestamps are converted to strings.
  • Large files may take a moment to process depending on your device.

this format vs this format

this format
A format that works for common needs. However, another format may fit better depending on the use case.
this format
A format that works for common needs. However, another format may fit better depending on the use case.
Best for
this format suits sharing, editing, and storage.
Next step
After converting, people often continue with CSV to Parquet or CSV to JSON.

How to use

  1. 1Upload your Parquet file
  2. 2Review the file info and data preview
  3. 3Click "Convert to CSV"
  4. 4Download the resulting CSV file

FAQ

What Parquet files are supported?

Most Parquet files work, including those with Snappy, Gzip, or Zstd compression. Files with complex nested schemas are also supported in most cases.

Is my data safe?

Yes. All processing runs locally in your browser. Your files are never uploaded to an external server.

Is there a file size limit?

The limit depends on your browser's available memory, but most files up to a few hundred megabytes should work fine.

Can I use this on mobile?

Yes. Any modern mobile browser should work.

What encoding is the CSV output?

UTF-8. If you open it in Excel and see garbled characters, try importing it using Excel's text import wizard with UTF-8 encoding selected.

Related tools

CSV to ParquetCSV to JSONJSON to CSVGuide: What is Parquet?

Need help choosing the right workflow?

The guide section covers format differences, compression tips, and common PDF workflows.

Browse guides