Reading Time Calculator
Free Reading time tool for readability & counts. Enter your details to get instant, tailored results and guidance. Includes formulas and worked examples.
Reading Time Calculator
Calculator
Adjust values & calculateEnter your values below. Every result is computed in your browser โ no data is sent to any server.
Formula: Reading Time = Word Count / Reading Speed (wpm)
Worked example โ Reading time: ~8 min | Speaking time: ~12 min | ~6.5 pages
Formula
Reading Time = Word Count / Reading Speed (wpm)
Divide the total number of words by the reading speed in words per minute (wpm). The default average is 238 wpm for silent reading. Speaking time uses 150 wpm. Pages are estimated at 275 words per page.
Worked Examples
Example 1: Blog Post Reading Time
Problem:A blog post has 1,800 words. Calculate reading time at average speed (238 wpm) and estimate the page count.
Solution:Reading time: 1,800 / 238 = 7.6 minutes Speaking time: 1,800 / 150 = 12.0 minutes Pages: 1,800 / 275 = 6.5 pages
Result:Reading time: ~8 min | Speaking time: ~12 min | ~6.5 pages
Example 2: Academic Paper
Problem:A 12,000-word research paper needs to be read at a slower academic pace of 180 wpm.
Solution:Reading time: 12,000 / 180 = 66.7 minutes โ 1 hour 7 minutes Speaking time: 12,000 / 150 = 80 minutes โ 1 hour 20 minutes Pages: 12,000 / 275 = 43.6 pages
Result:Reading time: ~1h 7m | Speaking time: ~1h 20m | ~44 pages
Frequently Asked Questions
What is the average reading speed?
The average adult reading speed is approximately 238 words per minute (wpm) according to a 2019 meta-analysis by Brysbaert. However, this varies significantly: college students average 200-300 wpm, speed readers can reach 400-700 wpm, and technical or academic reading often drops to 150-200 wpm. Children and non-native speakers typically read slower at 100-200 wpm.
How many words fit on a page?
A standard printed page contains approximately 250-300 words, with 275 being a common estimate used in publishing. This assumes standard formatting: 12-point font, double-spaced, with 1-inch margins. Single-spaced pages hold about 500 words. Kindle and e-reader pages vary by device and font size but average around 200-250 words.
How do I estimate reading time for a blog post?
Divide the total word count by your target reading speed (238 wpm for general audiences). A 1,000-word post takes about 4 minutes. Many blogs display reading time to set reader expectations. Medium.com uses 265 wpm for their reading time estimates. Round up to the nearest minute for display purposes.
What affects reading speed?
Key factors include: text difficulty (academic vs. casual), familiarity with the topic, font type and size, reader's education level, purpose (skimming vs. studying), language (native vs. second language), and medium (screen vs. print โ screen reading is about 25% slower). Fatigue and distractions also significantly reduce effective reading speed.
How fast should I speak during a presentation?
The ideal speaking rate for presentations is 130-150 words per minute. TED talks average around 163 wpm. Speaking too fast (over 170 wpm) makes it hard for audiences to follow, while too slow (under 120 wpm) can lose attention. Allow pauses for emphasis and audience comprehension. For a 10-minute speech, prepare approximately 1,300-1,500 words.
How does silent reading differ from skimming and from study reading?
The 238 words per minute default describes ordinary silent reading of general prose with normal comprehension. Skimming for the gist runs much faster, because the reader samples headings, opening sentences and keywords rather than every word, and comprehension falls accordingly. Study reading of dense or unfamiliar material runs far slower, since it involves rereading, pausing to work through an argument and taking notes. Choose the rate that matches how your audience will actually approach the text rather than defaulting to the average.
How do I turn a target reading time into a word budget?
Invert the formula and multiply instead of dividing. At 238 words per minute a five minute read is 238 times 5, or about 1,190 words, and a three minute read is roughly 714. Working from a time budget is the more useful direction when commissioning or outlining, because it fixes the scope before drafting starts. Round to a convenient figure and leave a margin, since editing tends to add words to explanations even as it cuts them from introductions.
Should images, tables and code blocks add to the estimate?
The word count alone underestimates them, because a reader stops to interpret a figure or trace through a code sample and none of that time is captured by counting words. A common editorial fix is to add a fixed allowance for each figure, often a handful of seconds, sometimes tapering for later images on the assumption that readers linger less as they go. Tables and code deserve a more generous allowance than decorative images, which many readers skip entirely.
Why do two sites report different reading times for the same article?
The rate is a choice, and published estimates commonly sit anywhere between roughly 200 and 265 words per minute, which alone shifts a long article's estimate by several minutes. Beyond that, tools differ in whether they add time for images and code, whether they count captions, navigation, footnotes and comments, and how they tokenise hyphenated words, numbers and URLs. The figures are not comparable across sites, so use one tool consistently rather than trying to reconcile them.
What is the difference between estimated reading time and time on page in analytics?
Estimated reading time is computed from the word count at an assumed words per minute rate, so it describes the article rather than any actual reader. Time on page is measured behaviour, and it is measured badly: a visitor who leaves from the same page may register almost nothing, a tab left open in the background inflates the figure, and skimmers finish far faster than the estimate. Use the estimate to set expectations before the click, and scroll depth alongside time on page to judge whether people really read it.
References
Reviewed for accuracy by Daniel Agrici, Founder & Lead Developer ยท Editorial policy
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