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.
Will it fit? Check any text against Twitter, SMS, meta-description, and other limits at once, and see exactly how far over you are.
The most common length question is binary: does this fit, or do I have to cut? This loads a post that runs just past Twitter's 280-character limit so you can see the check that matters — over by how much, on every platform at once. Instead of pasting into each box to find out, you get the whole panel: what fits, what is over, and the exact number of characters to trim. The amount-over figure is the one that tells you how hard the cut has to be.
Paste the text
A post, caption, or message near a length limit.
Scan every limit
Twitter, SMS, meta description, and more, checked at once.
Cut by the number
See exactly how many characters you are over.
Yes, the PLATFORM NOTES panel checks every limit at once: X/Twitter (280), SMS (160), meta description (160), Google title tag (60), Instagram (2,200), and LinkedIn (3,000), instead of pasting into each box. For each it shows either an over-by figure (Twitter reads "over by 38 characters" in the example) or how many characters are left.
That is a different job this tool routes away from: its own note says "AI model inputs are measured in tokens, not characters," and characters, words, and tokens are distinct units. Character Counter counts keystrokes against publishing limits; for a model's context budget the report points you to the Token Counter and Context Window Estimator instead.
They count "the units a text field counts," but the NOTES flag a caveat: some emoji and combined scripts may count as more than one character, and language affects word and sentence boundaries. So the over-by number is reliable for plain text; if a post is emoji-heavy, treat the platform panel as close rather than guaranteed to match every field byte-for-byte.
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.