Convert a List to JSON

Convert plain text lists into clean JSON arrays using the Convert a List to JSON Tool. This tool transforms each line into a valid JSON string, supporting trimming, empty line removal, and pretty-print formatting. Easily import files, preview live results, copy the output, or export your JSON to a .json file. Ideal for developers working with structured data, APIs, or configuration lists. All processing is done in-browser, safely and instantly.

Paste your input above or import a file below.
No file chosen
Supported file types: .txt, .csv, .tsv, .log, .json, .xml, .md, .ini, .yaml, .yml, .html, .htm, .css
Total items: 0
Options
Trim whitespace from each line
Ignore empty lines
Pretty-print JSON

How to Use:

  1. Paste or import your list into the input box.
  2. Enable or disable options: trim whitespace, ignore empty lines, and pretty-print formatting.
  3. View the JSON array output instantly in the preview box.
  4. Use Copy Output or Export to File to save the result.
  5. Click Clear All to reset everything.

What Convert a List to JSON Tool Can Do:

  • Converts line-based lists to valid JSON arrays
  • Trim lines and ignore blanks with toggles
  • Pretty-print output for easier reading or minify for compact storage
  • Show total count of array items
  • Import .txt, .csv, .json, and other text-based formats
  • Live preview with flashing update feedback

Example:

Input:

apple
banana
cherry

Output:

[
  "apple",
  "banana",
  "cherry"
]

Common Use Cases:

Useful for creating JSON config files, sending structured lists to APIs, transforming flat inputs into machine-readable format, or storing clean data from text files. Perfect for devs, analysts, and data engineers.

Useful Tools & Suggestions:

If you’re converting a list to JSON, you might also want to run Trim List Items first this ensures there’s no messy spacing or invisible characters that could trip up your structure. Then, if you’re planning to use that JSON elsewhere, JSON Validator helps confirm it’s properly formatted. That way, you avoid annoying syntax errors and your data stays clean and ready to integrate.

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