SmartQueryTools

Convert Parquet to CSV Online

Convert Parquet files to CSV format directly in your browser. No upload required — your data never leaves your device.

Drop your .parquet file here

or click to browse — max 50 MB

About this conversion

Converting Parquet to CSV makes your data readable by any tool — Excel, Google Sheets, database COPY commands, and virtually every programming language and data platform. CSV is the universal handoff format when Parquet's binary structure is a barrier: sharing data with colleagues who don't have a data engineering toolchain, loading into systems that only accept flat files, or quickly inspecting contents without a Python environment.

Common use cases include exporting a data warehouse table for an Excel-based report, sharing a dataset sample with external partners, loading data into PostgreSQL using COPY FROM, and debugging a Parquet file's contents. This tool runs entirely in your browser — no Python, no pandas, no server. Drop the file, convert, and download.

Note that Parquet can store complex types — nested structs, list arrays, and map columns — that have no direct CSV equivalent. These will be serialised as JSON strings in the CSV output. Timestamps with timezone information lose the timezone offset in CSV (the local time value is preserved). For large Parquet files, the CSV output will be significantly larger due to CSV's lack of compression.

Frequently Asked Questions

What is CSV format?

CSV (Comma-Separated Values) is a plain-text tabular format supported by virtually every data tool, spreadsheet app, and programming language.

Is my Parquet data private?

Yes — completely. Your file is never uploaded to any server. All conversion happens inside your browser using WebAssembly — locally, with no upload. Once you close the tab, nothing is retained.

What is the maximum file size?

The free limit is 50 MB. For larger files, performance depends on your device's available memory — most modern machines can handle 500 MB to 1 GB comfortably.

What is the difference between Parquet and CSV?

Parquet is ideal for data warehouses and analytics. CSV is better when sharing with non-technical users or loading into systems that don't support Parquet.

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