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Character Counter & Text Density Analyzer

Calculate characters, words, sentences, and paragraphs. Includes reading time estimation and keyword density analysis for SEO optimization.

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Category Text Analysis
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About

Content constraints are ubiquitous in digital communication. Social platforms enforce strict character limits (e.g., 280 for Twitter), while SEO standards recommend specific word counts for ranking. This tool provides a granular analysis of text composition. Unlike simple counters, it distinguishes between whitespace, punctuation, and alphanumeric characters.

The analyzer also computes estimated reading and speaking times based on standard rates (200 wpm for reading, 130 wpm for speaking). Density analysis identifies keyword stuffing or overuse, which is critical for natural language processing and search engine optimization. It operates instantly on the client side, ensuring large documents are processed without latency or privacy risks.

seo word count writing analysis text

Formulas

Word count W is calculated by splitting text T by whitespace patterns.

W = count(split(T, \s+))

Reading time t (in minutes) is the ratio of word count to the average speed constant k (usually 200).

t = Wk

Reference Data

MetricTarget / StandardPlatform/Context
Meta Title50-60 charsGoogle Search
Meta Description150-160 charsGoogle Search
Tweet280 charsX (Twitter)
SMS (Segment)160 charsGSM Standard
Blog Post1,500+ wordsSEO (Deep Content)
Reading Speed200-250 wpmAdult Average
Speaking Speed130-150 wpmPresentation/Speech

Frequently Asked Questions

We provide two metrics: "Characters (with spaces)" and "Characters (no spaces)". Most platform limits (like Twitter or SMS) count spaces, while freelance writing contracts often count words or non-space characters.
The logic looks for terminal punctuation (periods, exclamation marks, question marks) followed by whitespace. It handles common abbreviations (e.g., "U.S.A.", 'Mr.') to prevent false positives, though complex structures may occasionally vary.
The calculator uses a global average of 200 words per minute. Skimmers may read faster (300+ wpm), while technical or dense academic text is often read slower (100-150 wpm). This is a baseline estimate.
No. The analyzer normalizes all text to lowercase before counting. "Apple", "apple", and "APPLE" are treated as the same keyword to provide an accurate representation of topic frequency.