Word Counter
Count words, characters, sentences, and paragraphs as you type, with estimated reading and speaking time.
Processed locally in your browser — nothing is uploaded.
Word Counter
0 characters
Statistics
- Words
- 0
- Characters
- 0
- Characters (no spaces)
- 0
- Sentences
- 0
- Paragraphs
- 0
- Unique words
- 0
- Reading time
- —
- Speaking time
- —
Reading time assumes ~225 words per minute; speaking time ~140 words per minute.
About Word Counter
Paste or type any text and watch the statistics update live: words, characters with and without spaces, sentences, paragraphs, and unique words. Reading time (~225 words per minute) and speaking time (~140 words per minute) help you fit essays, scripts, and talks into a time budget.
Common uses
- Check an essay or article against a word limit
- Time a speech or presentation script before rehearsing
- See how repetitive a draft is via the unique-word count
Example
Input
A 450-word conference talk draft
Output
450 words · ~2 min reading · ~3 min 13 sec speaking
Limitations
- Reading and speaking speeds vary by person; the estimates use common averages
Frequently asked questions
Is the text I paste sent to a server to be counted?
No. All counting runs in your browser with JavaScript — your draft never leaves your device and nothing is stored, so unpublished essays and confidential documents stay private.
How is reading time calculated?
The word count is divided by an average silent-reading speed of about 225 words per minute; speaking time uses about 140 words per minute. A 450-word script therefore shows roughly 2 minutes of reading and just over 3 minutes of speaking.
Why is my word count different from Microsoft Word?
Different tools split words differently. This counter treats hyphenated and apostrophe words like "well-known" and "don't" as one word each, while some programs split them or count stray punctuation, so totals can drift by a few words on long texts.
What does the unique-word count tell me?
It counts how many distinct words appear, ignoring capitalization. A low unique count relative to total words means the draft repeats itself; comparing the two numbers is a quick vocabulary-variety check.