Text Cleaner, Case Converter and Duplicate Remover
Ten case conversions and ten clean-up switches that turn pasted junk into usable text: Title Case for a heading, snake_case for a variable name, duplicates and blank lines gone, URLs stripped, double spaces collapsed. Pick options and the result rebuilds instantly.
- Paste the mess — Scraped lists, PDF copies with broken lines, captions with triple spaces — all fine.
- Choose a case — Sentence, lower, UPPER, Title, camelCase, PascalCase, snake_case, kebab-case or aLtErNaTiNg.
- Tick what to remove — Extra spaces, blank lines, duplicate lines, links, emails, punctuation, digits, non-English letters, or merge everything into one paragraph.
- Order the lines if needed — Sort A→Z or Z→A, number every line, shuffle, or reverse. Then copy or download the result.
- Everything is applied in a fixed, predictable order — clean-up first, line ordering next, case conversion last.
- Duplicate-line removal ignores letter case and surrounding spaces, so "Lahore" and "lahore " collapse into one.
- Great for product lists, keyword sheets, subtitle lines and CSV columns pasted out of Excel.
- No character limit worth mentioning, and your text never leaves the browser tab.
Text Cleaner & Case Converter — questions
What is the difference between camelCase, PascalCase and snake_case?
camelCase writes firstWordLower then EachNextWordCapitalised (used for JavaScript variables and React props). PascalCase capitalises the first word too (class and component names). snake_case uses underscores (Python, database columns) and kebab-case uses hyphens (CSS class names, URL slugs).
Does Title Case capitalise small words?
It keeps short connecting words such as a, and, of, the, to lowercase unless they are the first word of the title, which is the standard Chicago-style behaviour most editors expect. Hyphenated words are capitalised on both halves.
Why did my punctuation disappear when I only wanted spaces removed?
Each switch is independent, so check the row of active chips — the count above the result tells you how many options are on. Punctuation, digits and non-English letters are separate switches, and "Non-English letters" is the aggressive one because it also deletes Urdu characters.
Can it handle very large pastes, like a whole book?
Yes, within the memory of your own browser tab. Processing happens locally, so there is no upload size ceiling and no job queue — a few hundred thousand words is still instant on a normal laptop.
Will removing duplicates break my data order?
No. Duplicate removal keeps the first copy in its original position and only deletes later repeats. Sorting is a separate switch you can leave off.