Word Counter

Reading time is estimated using the average adult reading speed of 200 words per minute. For example, a 1,000-word article takes approximately 5 minutes to read.

Speaking time is estimated using an average conversational speaking speed of 130 words per minute. This is useful for timing scripts for speeches, presentations, or podcasts.

The keyword density filter tallies the frequency of words in your text and calculates their percentage relative to the total word count. The stop words filter hides common structural words (such as "the", "and", "a", "of") so you can focus on major topic keywords.

No. All calculations, metrics counts, case transformations, and keyword density parsing run entirely in your local browser using client-side JavaScript. We do not store, track, or transmit your text.

Currently, you need to open your PDF or Word document, copy all the text (Ctrl+A, Ctrl+C), and paste it into our text box to get an instant word count.

Yes. When calculating the "Characters (with spaces)" metric, every single keystroke is counted, including commas, periods, quotation marks, and spaces.

Search engines generally favor longer, in-depth content. A good rule of thumb for SEO blog posts is to aim for at least 1,000 to 1,500 words to comprehensively cover a topic.

A sentence is typically identified by looking for terminal punctuation marks like periods ., exclamation points !, or question marks ? followed by a space or newline.

The tool identifies paragraphs by looking for hard line breaks or empty lines (carriage returns) between blocks of text. A single line of text with a blank line below it is counted as one paragraph.

There is no strict limit. You can paste thousands of words, and our client-side script will calculate the metrics instantly without slowing down your browser.