Convert Parquet to JSON Online
Convert Parquet files to JSON format directly in your browser. No upload required — your data never leaves your device.
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.
Not sure which format you need? Read our Parquet vs JSON comparison for a side-by-side breakdown.
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.
Related Tools
Normalize Columns in Parquet Files Online
Normalize numeric columns in Parquet files using min-max scaling (0–1) or z-score standardisation (mean=0, std=1). Adds new columns alongside the originals — no upload required.
Normalize Columns in JSON Files Online
Normalize numeric columns in JSON files using min-max scaling (0–1) or z-score standardisation (mean=0, std=1). Adds new columns alongside the originals — no upload required.
Rank Rows in Parquet Files Online
Add a rank column to Parquet files based on any column's values. Choose RANK, DENSE RANK, or ROW NUMBER, with optional partitioning — runs entirely in your browser.
Rank Rows in JSON Files Online
Add a rank column to JSON files based on any column's values. Choose RANK, DENSE RANK, or ROW NUMBER, with optional partitioning — runs entirely in your browser.
Add Cumulative Sum to Parquet Files Online
Add a running total column to Parquet files for any numeric column. Optionally order by a date or sequence column and restart totals per group — no upload required.