Text Counter & Analyzer

Count words, characters, sentences, and paragraphs in real time. Get reading time, speaking time, word frequency analysis, and more -- all client-side. Your text never leaves your browser.

📊 Core Statistics
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Characters
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Chars (no spaces)
0
Words
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Sentences
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Paragraphs
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Lines
0
Unique Words
⏱ Time Estimates
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0 sec
Reading Time (200 wpm)
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0 sec
Speaking Time (130 wpm)
🔎 Text Details
Avg Word Length
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Longest Word
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Text Density
0%
📈 Top 10 Most Frequent Words
Type or paste text to see word frequency
🔣 Character Frequency (Top 20)
Type or paste text to see character frequency

How It Works

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Real-Time Analysis

Every statistic updates instantly as you type or paste text. No buttons to click, no delays. See word count, character count, sentence count, and more updated live as your content changes.

⏱

Time Estimates

Get accurate reading time (based on 200 words per minute) and speaking time (based on 130 words per minute) estimates. Perfect for planning blog posts, presentations, speeches, and video scripts.

📈

Word Frequency

See the top 10 most frequently used words with visual bar charts. Identify overused words, check keyword density for SEO, or analyze writing patterns to improve your content quality.

🔒

100% Private

All analysis runs entirely in your browser using JavaScript. No text is ever sent to a server, stored, or logged. Safe for confidential documents, drafts, and sensitive content.

Understanding Text Analysis

Text analysis is an essential part of writing, editing, and content creation. Whether you are a blogger checking word count for SEO, a student meeting assignment requirements, or a speaker timing a presentation, accurate text statistics help you create better content.

Why Word Count Matters

Word count is one of the most fundamental text metrics. Blog posts typically perform best at 1,500-2,500 words for SEO. Academic papers have strict word limits. Social media posts need to be concise. This tool gives you an instant, accurate word count so you always know where you stand.

Reading Time and Speaking Time

The average adult reads approximately 200-250 words per minute for non-technical content. The average speaking pace for presentations is around 120-150 words per minute. This tool uses 200 wpm for reading and 130 wpm for speaking as standard benchmarks, giving you reliable time estimates for your content.

Text Density and Vocabulary

Text density (the ratio of unique words to total words) is a useful measure of vocabulary richness. Higher density indicates more diverse word usage. Academic writing typically shows higher density than conversational text. Monitoring this metric can help you improve your writing by encouraging vocabulary variety.

Frequently Asked Questions

How does the text counter work? ▼
The text counter analyzes your input in real time as you type or paste. It counts characters (with and without spaces), words, sentences, paragraphs, and lines. It also calculates reading time, speaking time, word frequency, character frequency, average word length, and text density -- all entirely in your browser with no data sent to any server.
How is reading time calculated? ▼
Reading time is calculated based on an average reading speed of 200 words per minute (wpm), which is the commonly accepted average for adult reading of non-technical content. The word count is divided by 200 to produce the estimated reading time. For technical or dense content, actual reading time may be somewhat longer.
How is speaking time calculated? ▼
Speaking time is estimated using an average speaking speed of 130 words per minute (wpm). This is a typical pace for presentations, speeches, and public speaking. The word count is divided by 130 to give the estimated duration. Actual speaking time may vary based on pacing, pauses, and delivery style.
What is text density? ▼
Text density is the ratio of unique words to total words, expressed as a percentage. A higher density means more vocabulary variety and less repetition. For example, if a text has 100 total words and 70 unique words, the density is 70%. Academic and literary texts tend to have higher density than conversational text. Monitoring density can help you identify repetitive writing and improve vocabulary usage.
Is my text data safe when using this tool? ▼
Yes, absolutely. This text analyzer runs entirely in your browser using JavaScript. No text data is sent to any server, stored, or logged. All analysis happens locally on your device. You can verify this by disconnecting from the internet and confirming the tool still works perfectly. This makes it safe to use with confidential documents, drafts, and sensitive content.
What counts as a word in this tool? ▼
A word is defined as a contiguous sequence of alphanumeric characters, including accented letters, Cyrillic, CJK characters, and apostrophes. Punctuation, spaces, and special symbols are not counted as part of words. Hyphenated words like "well-known" are counted as separate words. Numbers and alphanumeric strings like "abc123" are counted as single words.

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