SmartQueryTools

Convert Parquet to JSON Online

Convert Parquet files to JSON 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 JSON produces a human-readable representation of your columnar data — useful for inspection, debugging pipeline outputs, feeding data to document databases, or preparing records for a REST API. Each row becomes a JSON object with keys matching the Parquet column names, and the resulting array is the standard format expected by most JSON-based systems.

Common use cases include converting a data lake table extract for loading into MongoDB or Elasticsearch, exporting rows from a Parquet-based model output as API mock data, debugging the contents of a Parquet file without a full engineering environment, and preparing data for a webhook or event-based system that consumes JSON payloads.

Complex Parquet types such as nested structs and list arrays map cleanly to nested JSON objects and arrays — the conversion is natural and lossless for these types. Timestamps are exported as ISO 8601 strings. Note that for large Parquet files, the JSON output will be significantly larger due to the repeated key names in every record; Parquet's compression is removed in the process.

Frequently Asked Questions

What is JSON format?

JSON (JavaScript Object Notation) is a lightweight, human-readable format that supports nested structures, making it ideal for APIs and document-oriented data.

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 JSON?

Parquet is optimised for columnar queries and compression. JSON is better for APIs, document stores, and human inspection.

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