Built with privacy in mind. All processing happens entirely in your browser using open-source libraries.
A text analyzer measures the shape of your writing while you type — word count, character count, line count, and estimated reading time — all updating live. It also handles the small transformations writers need constantly: converting text to UPPERCASE, lowercase, Title Case, or a clean URL-friendly slug.
Most writing has a target that is measured in numbers. A blog post needs a certain length, an ad headline has a character limit, an email subject line must stay short enough to display, and a keyword field for search engines has its own constraints. Counting words and characters by hand is unreliable and slow, especially when you are editing and the count keeps shifting. The case and slug conversions remove a different kind of friction: reformatting a title for a CMS, standardizing headings, or turning a phrase into a clean URL are all tedious manual steps that a single paste can solve.
This analyzer updates every metric as you type or paste, so you always know exactly where you stand without pressing a button. Everything runs locally in your browser — your draft is never sent anywhere, which matters when you are working on unpublished articles, client copy, or anything under embargo.
It is particularly handy before publishing anything with constraints: an ad network character limit, an SEO title length, or a submission cap on a school portal. One paste tells you the count, and the slugify and case tools reformat the same text so it fits the platform's rules.
Beyond counting, the tool is useful for enforcing limits that platforms impose. Social posts, ad headlines, meta descriptions, and SMS messages all have character ceilings, and a draft that passes one limit often fails another. Having live counts plus instant case conversion on a single screen means you can adjust the text until it fits, then copy the final version directly.
Who is it for? Students staying within assignment limits, copywriters optimizing headlines and meta descriptions, SEO specialists checking content length, and developers generating slugs.
Writers spend a surprising amount of time on numbers: how long is this, does it fit, is it within the limit? Guessing, or copy-pasting into a word processor to check a count, is slow, and the count changes the moment you edit. Live analysis removes the entire feedback loop, giving you the exact numbers as you type and letting you hit a target length on the first try.
The conversion tools solve a related, constant annoyance. Switching a title to Title Case, standardizing a slug for a URL, or normalizing pasted text is tedious by hand and easy to get inconsistent. One paste handles it, and because everything runs locally, unpublished drafts and client copy never leave your device.
Yes, free with no signup or limits.
No. Analysis happens locally in your browser.
No hard limit, though very long documents may slow older devices.
Yes, it works in mobile browsers.
Reading time uses an average of 200 words per minute: word count is divided by 200 and rounded up, with a 1-minute minimum for very short texts.
No – it currently tracks characters (with and without spaces), words, lines and estimated reading time. Sentence and paragraph counts are not included in this version.