Turn messy text into usable data
Paste your source, choose cleanup steps, then apply the workflow. Extract email-like strings or HTTP URLs, keep or exclude lines containing literal text, sort naturally (item2 before item10), deduplicate ignoring case, and add numbering from your chosen start.
Predictable transformation order
Unicode and newline normalization → optional invisible-character, quote, hyphen and space cleanup → literal replacement → extraction → tabs and trimming → blank removal → filtering → deduplication → sorting and reversal → case conversion → prefixes and numbering → export. Deduplication happens before case conversion. Natural sorting uses English comparison; ascending and descending use code-unit order.
Choose the right output
Download plain text with LF or CRLF line endings, a JSON array of strings, a one-column CSV, or Markdown bullets. CSV quoting preserves commas and quotes; leading formula characters are prefixed with an apostrophe for safer spreadsheet imports. Extraction finds patterns, not verified addresses or reachable links. URL punctuation may need manual cleanup.
Reuse without uploading
Download a settings-only recipe, reload it, undo or redo settings changes, or reset to defaults. Text is never included in recipes. Removing zero-width characters may change emoji sequences and some languages: enable it only when intended. The original input stays editable. Input is limited to one million characters and output to five million.