Text Analyzer
Word counts, palindrome checks, and Levenshtein edit distance.
Analyzing text statistics and similarity
Word counts support documentation limits, tweet drafts, and localization estimates. Palindrome checks appear in interview prep and puzzle tooling. Levenshtein distance quantifies how far two strings diverge, useful for fuzzy matching usernames or detecting typo-squatting domains.
Tokenization rules change counts: hyphenated words, contractions, and CJK characters without spaces need explicit policy. Levenshtein cost is quadratic in length; compare hashed fingerprints first on very long inputs before full matrix calculation in the browser.
Similarity scores complement, not replace, semantic diff tools. Two sentences with synonyms may score far apart while rearranged words score deceptively close. Set thresholds per use case when building autocomplete or duplicate detection.
Analyze draft copy locally when it includes embargoed announcements or personnel names. Metrics stay on your machine while you iterate on length requirements.
Reference Guide
Development tool - all processing runs locally in your browser. No data is sent to a server.
Operation: word-count
Paste input, click Run, and copy the result. For two-input tools, fill both fields before running.
Example Input
DevPipe runs entirely in your browser. No server uploads.
A sample loads automatically when you open this tool. Use Load Sample to reset it.