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Recipe

Convert a CSV export to pretty-printed JSON

Turn a CSV export into a JSON array, then beautify it — a two-step pipeline for feeding CSV data into anything that expects JSON.

  1. 1 Convert the CSV rows into a JSON array
  2. 2 Re-indent the result to 2 spaces
Try it — Convert a CSV export to pretty-printed JSON
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Exporting a spreadsheet or database table to CSV is easy; getting that data into a shape that a JSON API, a JS test fixture, or a config file can consume usually means a manual conversion step. This recipe does it in two: convert, then format.

What each step does

  1. Convert CSV to JSON. CSV to JSON reads the first row as field names and turns every following row into one JSON object, auto-detecting comma/tab/semicolon/pipe delimiters.
  2. Re-format the result. JSON Formatter re-indents the output to a specific width, independent of whatever the converter's own default produced.

Try it

Paste a CSV (with a header row) into the input above — a small sample is pre-filled — and the pipeline runs live: the intermediate JSON array appears under the first step, and the final, re-indented result shows in the Output panel.

When this is useful

A spreadsheet export handed off to a frontend team, a CSV dump that needs to become a JS test fixture, or a small config table maintained in a spreadsheet but consumed as JSON at build time — all the same shape of problem: tabular source data, JSON-consuming destination. This recipe keeps the conversion visible and repeatable instead of a one-off paste into two separate tool tabs.

Frequently asked questions

CSV to JSON's own pretty toggle controls its output at conversion time. Chaining a second, dedicated formatting step lets you pin an exact indent width regardless of the converter's default, and makes the indent visible and editable as its own pipeline step.
Leave delimiter on auto — CSV to JSON sniffs the first line and picks the right one. You can also pin it explicitly (comma, tab, semicolon, pipe) if auto-detection ever guesses wrong on an unusual file.
Yes — the first row is treated as field names, and each subsequent row becomes one JSON object keyed by those names.
Yes — open it in the recipe builder, paste your own CSV in place of the sample input, and use Save recipe to keep your own copy in your local recipe library.

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