Character Counter
Paste any text and see characters, words, lines, and reading time at once — plus whether it fits Twitter, SMS, and meta-description limits.
Drop in any block of text and get a clean word count with the structure around it — useful when a word range is the spec.
Plenty of briefs come with a word range: a product description in 50 to 75 words, a summary under 100. This loads marketing copy so you can see the word count and the structure that shapes it — sentences, average sentence length, and reading time. A word count alone tells you the size; the structure tells you whether the copy is punchy or padded at that size. It measures words, not tokens — for what a model sees and bills, that's the Token Counter.
Paste the block
Copy, a description, or a summary with a word range.
Read the count
Words plus sentences and average sentence length.
Judge the density
See whether the copy is punchy or padded at that count.
Because a brief's word range tells you the size but not the density — so alongside Words the report adds Average sentence length and a TEXT STRUCTURE block (lines, paragraphs, sentences) to show whether copy is punchy or padded at that count. It's a browser measurement of your pasted text; judging punchy-versus-padded is still your read.
It isn't — the report's NOTES spell out that characters count keystrokes, words count terms, and tokens are the model's sub-word units, so this word count won't match what a model bills. For that estimate the NOTES point to the Token Counter, and even that is an approximation since provider tokenizers differ.
Paste any text and see characters, words, lines, and reading time at once — plus whether it fits Twitter, SMS, and meta-description limits.
Count words in any text, with sentence and paragraph structure and reading time — for essays, articles, and anything with a word target.
How long will this take to read? Estimate reading time from word count at a pace you choose — the "5 min read" label, calculated.
Know how many tokens a job will consume before you send it — input plus an assumed response, costed per call and at scale.
Token budget planning for real workloads: how much of the window a transcript actually consumes, what is left for the answer, and how much headroom remains.
A set of before-and-after examples showing exactly what prompt cleanup removes — and what it deliberately leaves alone.
Count characters, words, lines, and reading time — with live platform-limit checks for Twitter, SMS, meta descriptions, and more.