Parquet to CSV
Universal Format Converter
Convert between CSV, TSV, JSON, and Excel. Supports multiple files, primary data, and batch operations.
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AboutParquet to CSV
Convert Apache Parquet columnar files into CSV rows, and CSV back into Parquet — the standard format for data engineering, Spark, and pandas pipelines.Category: Conversion & ExportParquet is the de-facto columnar storage format across data engineering, analytics warehouses, and ML pipelines (Spark, pandas, DuckDB), chosen precisely because it's compact and fast for machines — not something you can casually open and eyeball. This tool reads a Parquet file's row groups and columns directly in your browser and flattens them into ordinary CSV rows, handling the full range of Parquet types and compression codecs. It also writes CSV data back into a real Parquet file, inferring column types automatically, useful when you've cleaned or filtered data in a spreadsheet and need it back in columnar form for a pipeline that expects Parquet input. The Parquet library only loads when you actually open this tool, so it never slows down the rest of the site for people who aren't converting Parquet files.
Frequently Asked Questions:
It reads row groups and columns directly, so typical analytical Parquet files work well — very large multi-gigabyte files may be slow since everything runs in your browser tab rather than a distributed engine.
Standard primitive types (strings, numbers, booleans, dates) convert cleanly to CSV columns; deeply nested struct or list columns are preserved as their JSON representation in the cell rather than being split into new columns.
No — column types are inferred automatically from your data, which keeps the process one-click but means you should double-check inferred types (e.g. numeric-looking IDs) before feeding the file into a strict schema pipeline.
Developed by HowToCSV for our valued CSV Haters worldwide.