The tool extracts the visible body text from the page, counts the words, and divides by an average adult silent reading speed of 200 words per minute, then rounds up to the nearest minute. So a 1,000-word article estimates to about 5 minutes. It also reports the raw word, sentence, and paragraph counts so you can judge the depth and structure of the content, not just its length.

200 words per minute is a widely used average for adults reading non-technical text on screen silently. Real speeds vary — light fiction can be faster, dense technical or academic content slower — but 200 wpm is a sensible middle ground that matches the estimates most publishers and blogging platforms display. It gives readers a realistic, slightly generous expectation of the time commitment.

A visible reading-time estimate sets expectations and can improve engagement: readers are more likely to start an article when they know it is a quick five-minute read, and time-on-page often improves when expectations match reality. It is a small UX touch common on blogs and news sites. This tool helps you generate an accurate figure to display and to sanity-check whether a piece is the right length for its intent.

Reading time itself is not a ranking factor, but the things it reflects — content depth, completeness, and engagement — do matter. Thin content that reads in under a minute may struggle to satisfy informational intent, while overly long content can bury the answer. Use the word and structure counts here to ensure a page is substantial enough to be useful without padding it just to look longer.

They reveal structure and readability. A high word count split into very few paragraphs signals dense walls of text that are hard to scan, while a healthy ratio of paragraphs to words suggests well-broken-up content. Average sentence length hints at complexity — very long sentences reduce readability. Use these counts alongside reading time to decide whether to add subheadings, shorten sentences, or break up paragraphs.

It parses the page HTML and extracts the textual content while ignoring scripts, styles, and markup, focusing on the words a human would actually read. Navigation and boilerplate may be partially included depending on the page structure, so treat the count as an accurate estimate of total readable text rather than a perfectly isolated article-body measurement.

You can analyze pages of any reasonable length and run the tool as many times as you like, completely free. Very large pages are handled, though extremely long documents are summarized into the same counts and a single reading-time estimate. Re-run after editing to see how trimming or expanding content changes the estimate.