CSV Tools

Convert CSV to Parquet

Convert CSV into columnar Parquet format for efficient storage

Converting the other way? Use the Parquet to CSV converter. Want to inspect the result? Open it in the Parquet Viewer. Need to convert another format? Search all of our CSV converters.

CSV Input

Try a sample:

Parquet Output

Provide CSV data to generate a Parquet file.

Options

How to Use This Tool

Use this tool when you need Parquet’s columnar storage instead of row-based CSV. Parquet files are smaller, carry a typed schema, and load dramatically faster in analytics tools like pandas, Spark, and DuckDB — which is why they are the standard interchange format for data pipelines and lakehouse storage.

The converter accepts pasted CSV text, local files, or a CSV URL. The first row becomes the column names, types are inferred per column (numbers become DOUBLE, true/false becomes BOOLEAN, everything else stays STRING), and the whole conversion runs client-side in your browser.

  1. Step 1 — Paste CSV, drop a file, or fetch a URL in the CSV Input panel.
  2. Step 2 — Choose a compression codec (Snappy recommended) and whether to infer column types.
  3. Step 3 — Click Download .parquet and use the file in pandas, Spark, DuckDB, or our Parquet Viewer.

FAQ

4 questions
Does this CSV to Parquet converter upload my data?
No. The conversion runs entirely in your browser — your CSV data is never sent to a server. The Parquet file is generated locally and downloaded straight from your device.
Which compression should I pick?
Snappy is the default and the safest choice — pandas, Spark, and DuckDB all read it without configuration. Uncompressed maximizes compatibility with minimal readers at the cost of larger files.
How are column types chosen?
Columns whose values are all numeric become DOUBLE, columns whose values are all true/false become BOOLEAN, and everything else stays STRING. Turn off type inference to write every column as strings.
Will the file work with pandas / Spark / DuckDB?
Yes — the output is standard Parquet with Snappy or no compression, which opens in all mainstream readers. You can verify instantly by opening your file in our Parquet Viewer.

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