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.
When a field has a hard character cap — a meta description, a bio, a title — count against it instantly and see exactly how much room is left.
Character limits are everywhere a field is small: a 160-character meta description, a Google title near 60, a profile bio. Eyeballing them fails; counting them is instant. This loads a meta description sized near its limit so you can see the headline check — characters with and without spaces — and the platform read-out that tells you precisely how many characters remain before the cap. It is the difference between "looks about right" and "fits, with twelve to spare."
Paste the field text
A meta description, title, or bio with a hard cap.
Read both counts
Characters with and without spaces, plus the limit check.
Trim to fit
See exactly how many characters are left before the cap.
Read the PLATFORM NOTES block, which measures your text against each field's cap directly. For this sample it reports 'Meta description (160): fits — 18 characters left' and 'Google title tag (60): over by 82 characters', so you see the exact room remaining rather than eyeballing it. Trim in the Character Counter until every field you care about reads 'fits'.
Both counts are shown so you can match whichever a field uses. The report gives 'Characters (with spaces): 142' and 'Characters (no spaces): 122' side by side, and the PLATFORM NOTES limit checks — like 'X / Twitter post (280): fits — 138 characters left' — count the with-spaces total the platform enforces.
Character caps and model limits are different units, so use the Token Counter for that. The report notes 'AI model inputs are measured in tokens, not characters', and this view only checks keystroke counts against field caps like SMS (single) (160) or LinkedIn post (3,000). Model inputs are billed in sub-word tokens, which this character view does not estimate.
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.