Skip to content
GigAI Tools
7 steps

How to Convert CSV to JSON (Free, In Your Browser)

Turn a spreadsheet or CSV export into a clean array of JSON objects, with the right headers as keys and correct data types. A step-by-step guide.

CSV is perfect for spreadsheets but awkward for code: most APIs, config files and JavaScript apps expect JSON instead. Converting turns each row of your CSV into a JSON object, with the header row becoming the keys, so you get a clean array you can drop straight into a program or request body.

The tricky parts are getting the delimiter right, deciding whether numbers and booleans should stay as text or be typed, and handling quoted fields that contain commas. This guide covers all of that using our free CSV-to-JSON converter, which runs entirely in your browser so your data never leaves your device.

This guide uses CSV to JSON

Free, private and instant. Open it now and follow along with the steps below.

Open CSV to JSON

Follow these steps

  1. Step 1: Open the CSV to JSON converter

    Go to the CSV-to-JSON tool. It runs in the browser with nothing to install, and your file is processed locally. Nothing is uploaded.

  2. Step 2: Paste or upload your CSV

    Drop in a .csv file exported from Excel, Google Sheets or a database, or paste the raw CSV text directly. Make sure the first row contains your column headers.

  3. Step 3: Confirm the delimiter

    Most files use commas, but some use semicolons or tabs: common in European locales or TSV exports. Check the detected delimiter matches your data so columns split correctly.

  4. Step 4: Check that the header row maps to keys

    The first row's values become the JSON property names. Verify the headers are clean (no stray spaces or duplicates) so you get sensible keys like "email" rather than " Email ".

  5. Step 5: Decide how to handle data types

    Choose whether numeric and boolean-looking values should be converted to real numbers and booleans, or kept as strings. Typed output is handier for code. String output preserves things like leading zeros in IDs and ZIP codes.

  6. Step 6: Convert to JSON

    Run the conversion. Each row becomes an object keyed by your headers, and the whole file becomes a JSON array: formatted and ready to read.

  7. Step 7: Copy or download the JSON

    Copy the result to your clipboard or download it as a .json file to use in your app, API request or data pipeline.

Tips & best practices

  • Keep leading zeros as strings: if you convert an ID or ZIP code like 00123 to a number it becomes 123 and you lose the zeros.
  • Watch for fields that contain commas: they must be wrapped in double quotes in the CSV, otherwise the row splits into the wrong number of columns.
  • Clean your headers before converting, trailing spaces or duplicate column names produce awkward or colliding JSON keys.
  • If a value could be misread (a phone number, a version like 1.10), keep it as a string so the conversion doesn't reformat it.

Frequently asked questions