Word counter
Count whitespace-separated words in supplied text locally.
/tools/word-counterLOCAL
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REGISTRY FAMILY / IMPLEMENTED
Browser-local text tools for counts, transformations, line processing, comparison, and layout fixtures.
Count whitespace-separated words in supplied text locally.
Count characters with and without whitespace in supplied text locally.
Estimate sentence count from terminal punctuation in supplied text.
Estimate reading time from a stated words-per-minute assumption.
Convert text into common letter-case and identifier-case forms locally.
Generate a lowercase hyphenated slug from supplied text locally.
Sort non-empty lines alphabetically or reverse-alphabetically locally.
Remove repeated text lines while retaining the first occurrence locally.
Trim line edges, collapse internal spaces, and remove blank lines locally.
Compare two short texts line by line with a local LCS diff.
Replace literal text occurrences locally with case and replace-all controls.
Generate deterministic placeholder paragraphs locally.
Count newline-separated lines in supplied text locally.
Count paragraphs separated by double newlines locally.
Reverse the order of Unicode code points in supplied text locally.
Repeat supplied text up to 100 times with a chosen separator.
Apply ROT13 substitution to A-Z and a-z letters locally.
Shift A-Z and a-z letters by a user-selected shift locally.
Check whether normalized text reads the same backwards locally.
Check whether two words are anagrams of each other locally.
Extract email-shaped substrings from supplied text locally.
Extract http and https URLs from supplied text locally.
Extract integer and decimal numbers from supplied text locally.
Extract hashtags from supplied text locally.
Extract @mentions from supplied text locally.
Reverse the letters of each word while preserving word order.
Randomize the order of lines using cryptographic randomness.
Join non-empty lines into a single string with a chosen separator.
Split text on a chosen separator and list the parts.
Strip empty lines from supplied text locally.
Trim leading and trailing whitespace from every line locally.
Extract words from text and sort them alphabetically locally.