Text

List Converter

Trim, deduplicate, and alphabetically sort newline-separated list items so copied data is easier to clean up and reuse.

Free to use No sign-up Runs in your browser

Tool workspace

What Is a List Converter?

A list converter cleans up newline-separated text by trimming whitespace from each row, removing blank lines, deduplicating repeated values, and sorting the remaining entries alphabetically. This implementation treats each non-empty line as one item and uses locale-aware string sorting for the final order. It is useful for quick cleanup work, but it does not parse CSV columns, split comma-delimited text, or preserve the original order of the rows you pasted.

How to Use the List Converter

  1. 1Paste one item per line into the Input box, including any duplicates, extra spaces, or blank rows you want removed.
  2. 2Review the Output box for the cleaned list, which is trimmed, deduplicated, and sorted into alphabetical order automatically.
  3. 3Copy the normalized list into your spreadsheet, README, allowlist, or ticket comment once the final ordering and item set look correct.

Common List Cleanup Use Cases

Preparing allowlists and blocklists

Turn a messy copied list of domains, tags, names, or IDs into a clean sorted set before you paste it into configuration or review tooling.

Normalizing exported spreadsheet rows

Remove duplicate and blank entries from column data copied out of Excel, Google Sheets, or a CSV preview during support work.

Tidying documentation snippets

Create a stable, alphabetized list for READMEs, changelogs, and issue comments so collaborators can scan the final output more easily.

Frequently asked questions

Does the tool preserve the original order of my list?

No. After trimming and deduplicating, it sorts the values alphabetically. If the original ordering matters, keep a separate copy before using this page.

Can it split comma-separated or CSV data automatically?

No. The current logic treats each line as one item. Put every value on its own line first if your source data is comma-separated or uses multiple columns.