Text

Converts between UPPER, lower, Title, Sentence, camelCase, snake_case, kebab-case and CONSTANT_CASE.

Removes duplicate lines, keeps only duplicates, or counts how many times each line appeared.

Replaces text by literal, whole word or regular expression, with capture groups and a preview of every hit.

Edits Markdown with a live preview and exports the rendered HTML, with GFM tables and task lists.

Finds emails, phone numbers, card numbers and IDs in free text and masks or pseudonymises them.

Compares two texts side by side or inline, at line, word or character granularity.

Counts characters with and without spaces, words, lines, paragraphs and UTF-8 bytes.

Guesses a file’s character encoding — CP949, Shift_JIS, GB18030, Windows-1252 and more — with a side-by-side preview of each candidate, then re-saves it as UTF-8 (with or without BOM), UTF-16 or EUC-KR/CP949.

Converts pasted HTML or a saved page into clean Markdown — headings, nested lists, GFM tables, fenced code — dropping scripts and styles.

Joins broken lines back into paragraphs, keeping blank-line boundaries intact.

Sorts lines alphabetically, numerically, by length or randomly, with reverse and case options.

Turns lines into a comma list, quoted SQL IN clause, JSON array or bullet list, and back again.

Generates placeholder paragraphs, sentences or words in Latin, English, Korean, Japanese or Chinese.

Edits a table as a grid and emits aligned Markdown, or reformats a messy pasted table.

Pulls every email, URL, number, date or custom regex match out of a blob of text into a list.

Turns a title into a URL-safe slug, with romanisation for Korean and a choice of separator.

Fills a {{placeholder}} template once per row of a table and returns one document per row.

Splits a long text into chunks by line count, character budget or a delimiter, keeping sentences whole.

Converts text to and from binary, octal, decimal or hexadecimal in a chosen encoding.

Applies NFC, NFD, NFKC or NFKD — the fix for Korean text from macOS that looks right but never matches.

Trims trailing spaces, collapses runs of blanks, converts tabs and removes empty lines.

Counts how often each word or n-gram appears, with Korean-aware tokenising and a stopword list.

Reduces accented Latin text to plain ASCII — café becomes cafe — for slugs, sorting and search keys.

Finds and strips zero-width spaces, BOMs, soft hyphens and bidi controls hidden in pasted text.

Adds or removes leading line numbers with a start value, step, padding and separator.

Hard-wraps text at a column width, or unwraps it back into single-line paragraphs.

Scores English text with Flesch–Kincaid and friends, and estimates reading time in both languages.

Reverses a string, the words in it, or the order of lines — grapheme-aware, so emoji survive.

Breaks text into codepoints with names, blocks, scripts and UTF-8/UTF-16 byte sequences.