AIImage Tools

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 that make conversion safer

Before converting

  • Confirm the format required by the app, upload form, or person receiving the file.
  • Check details that may change during conversion, such as transparency, animation, or image quality.
  • Decide whether your main goal is compatibility, editing, or a smaller file size.

After converting

  • Open the converted image and check colors, text edges, and visible artifacts.
  • If the result is too large, continue with compression or resizing.
  • Use PNG for editing stages, and JPG or WebP when the final goal is sharing or publishing.

Need help choosing the right workflow?

The guide section covers format differences, compression tips, and common PDF workflows so you can choose the right tool with more context.

Common next steps

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.

Parquet vs CSV

Why convert
A conversion usually makes sense when the target format matches the next app, site, or workflow more naturally.
Tradeoff
Most format choices come down to tradeoffs between compatibility, compression, transparency, and editing behavior.
Best mindset
Start with the destination. Once you know where the file needs to end up, the right format is usually easier to pick.
Next step
After converting, people often continue with CSV to Parquet or PDF to JPG.

How to use

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

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