Question 1

How do I count words, characters, and reading time for my essay, blog post, or article?

Accepted Answer

Paste your text into jslet's Word Counter — it analyzes everything in real time. You get: total word count (tokens separated by whitespace), character count (with and without spaces), sentence count (detected via punctuation: . ! ?), paragraph count (blocks separated by blank lines), estimated reading time (based on the industry-standard 238 words per minute for English prose), and estimated speaking time (130 words per minute — the average conversational speech rate). The reading time calculation is the same formula used by Medium, Dev.to, and most blogging platforms. Unlike basic counters that only give you a number, jslet's tool also shows keyword density — a ranked table of the most frequent words in your text with their count and percentage of total words — and unique word count, which measures vocabulary diversity. All analysis runs locally in your browser. No text is uploaded to any server.

Question 2

How is reading time calculated, and is 238 words per minute accurate?

Accepted Answer

The 238 words per minute (WPM) standard comes from a meta-analysis of reading speed studies across English-speaking adults reading non-technical prose. It represents the average silent reading speed for comprehension — reading to understand, not skimming. At this speed, a 1,000-word article takes about 4 minutes 12 seconds to read. The formula is: reading time in minutes = total words / 238. Technical content (API docs, research papers, code-heavy articles) should use a slower rate of ~150-180 WPM because readers pause to parse code snippets, diagrams, and dense terminology. For audio content (podcast scripts, video voiceovers, presentation scripts), use the speaking time estimate instead — 130 WPM is the standard for clear, professional narration. jslet's tool displays both reading time and speaking time side by side. The decimal result is rounded to a human-friendly format ('4 min 12 sec' rather than '4.2 minutes'). You should use reading time as a signal, not a contract — it tells your reader what commitment they're making before they start.

Question 3

What is keyword density and how do I use it for SEO writing?

Accepted Answer

Keyword density is the frequency of a word or phrase relative to the total word count, expressed as a percentage. For example, if 'JavaScript' appears 12 times in a 600-word article, its density is 2%. jslet's Word Counter computes this automatically — it parses your text, normalizes words to lowercase, strips punctuation, filters out common stop words (the, and, is, of, a, to, in, it, that, for, on, with, as, this, be, at, by, or, from, an, but, not, we, you, are, was, has, had, can, will), and ranks the remaining words by frequency in a sortable table. For SEO: a 1–3% density for your primary keyword is the conventional guideline — below 1% may not signal relevance to search engines, above 3% may trigger keyword stuffing penalties. But modern search engines (Google in 2026) use semantic analysis (BERT, MUM) that understands topic relevance without exact keyword matching. Focus on natural language that covers a topic comprehensively rather than hitting a specific density number. The keyword density table is most useful for: (1) checking if your intended topic keywords actually appear, (2) identifying overused words that make your writing repetitive, and (3) comparing the vocabulary profile of your text against competitors.

Words	Counted by splitting text on whitespace. Hyphenated words (state-of-the-art) count as one word. Numbers and abbreviations also count. Empty input = zero words.
Characters	Character count with spaces (total string length) and without spaces (letters, digits, punctuation only). Useful when you need exact character budget for meta descriptions or SMS.
Reading Time	Computed at 238 words per minute — the industry standard used by Medium, Dev.to, and most reading-time widgets. This is the average silent reading speed for English prose comprehension.
Speaking Time	Computed at 130 words per minute — average conversational speech rate for clear presentation narration. Use this when writing scripts for podcasts, video voiceovers, or presentations.
Unique Words	The number of distinct words in your text (after lowercasing and stripping punctuation). High unique-to-total ratio = rich vocabulary. Low ratio = repetitive language. Technical writing typically has a higher unique ratio than fiction.
Keyword Density	Words are lowercased, stripped of surrounding punctuation, filtered against a 30-word English stop list (the, and, is, of, a, to, in, it, that, for, etc.), then ranked by frequency. Each keyword shows count, percentage of total words, and a visual density bar. This reveals which terms dominate your text — useful for SEO keyword planning and identifying overused words.

📊 How Word Counting & Keyword Density Work