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Category Text Analysis

Target Word Count

Progress0 / 1000

Words0

Characters(with spaces)0

Characters(no spaces)0

Sentences0

Paragraphs0

Reading Time0m 0s

Speaking Time0m 0s

Keyword Density

Keyword	Count	Density (%)
Run analysis to see keywords

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About

Precise text quantification is a strict requirement in technical writing, academic submission, and search engine optimization. Editorial guidelines often impose hard limits on length, necessitating tools that distinguish between raw character counts and exclude whitespace or formatting markers. Inaccurate counts lead to truncation in search results or rejection by automated submission systems.

This utility parses input strings to generate granular metrics beyond simple totals. It handles Unicode characters, ensuring correct processing of multi-byte symbols and emojis. The integrated density analyzer tokenizes text to identify high-frequency terms, filtering out noise words to provide actionable insights for keyword optimization. Writers use these metrics to gauge pacing through reading time estimates and to ensure compliance with specific platform constraints.

Formulas

Estimating content consumption time requires standardized velocity constants. Variations in human cognitive processing speed exist, but statistical averages provide a reliable baseline for general audiences.

Reading Time Calculation:

WV_silent = T_read

Where W is the total word count and V_silent is the average silent reading speed (238 words per minute).

Speaking Time Calculation:

WV_oral = T_speak

Where V_oral is the average speaking rate for presentations (130 words per minute).

Reference Data

Platform / Content Type	Metric	Limit / Standard	Note
Google Title Tag	Pixels	600px	Approx 50-60 chars
Google Meta Description	Characters	155-160	Truncated beyond this point
X (Twitter) Post	Characters	280	Links count as 23 chars
LinkedIn Post (Organic)	Characters	3000	Increased from 1300
Instagram Caption	Characters	2200	Hashtags included
Pinterest Description	Characters	500	First 50 visible
YouTube Title	Characters	100	70 visible on mobile
Blog Post (Standard)	Words	1500-2500	For deep topic coverage
Novel (Standard)	Words	80000-100000	Industry standard
SMS (GSM-7)	Characters	160	Splits into multiple segments

Frequently Asked Questions

A word is defined as any sequence of non-whitespace characters delimited by spaces, tabs, or newlines. Punctuation attached to words (like commas or periods) is considered part of the token during raw counting but is stripped during keyword density analysis to ensure "marketing." and "marketing" are treated as identical entities.

Yes. The system utilizes UTF-16 encoding standards relative to JavaScript string properties. Most single emojis count as two units of length in standard string properties, though visual rendering treats them as one glyph. This tool reports the technical length property used by database schemas and API payloads.

Sentence segmentation relies on terminal punctuation marks (. ! ?). Complex abbreviations (e.g., "U.S.A." or 'Mr.') can occasionally trigger false positives in simple regex parsers. This tool employs a heuristic approach to ignore common abbreviations, but non-standard formatting may still affect the absolute total.

The reading time is calculated based on an average reading speed of 238 words per minute, a figure derived from meta-analyses of reading rates in English. Speaking time utilizes a slower rate of 130 words per minute, typical for clear, articulate speech in a broadcast or presentation setting.

The density analysis module references an internal database of over 150 common English stop words (e.g., "the", "is", "at", 'which'). These are filtered out before frequency calculation to highlight semantically significant keywords rather than grammatical glue.