Analyze your text with our Text Analysis Tool. Get word count, character count, and readability metrics instantly.
The Word Count Problem
You are writing an essay for class. The requirement is 1500 words. You have been typing for hours, but you have no idea if you are close or way over.
You paste your text into a word processor. It says 1487 words. Perfect. But then you realize you need to remove all the quotes. Now what?
Text analysis tools do more than just count words. They help you understand your writing, optimize for platforms, and meet requirements.
What is Text Analysis?
Text analysis is the process of extracting information from text. It goes beyond simple counting to provide insights about your writing.
Basic metrics include word count, character count (with and without spaces), line count, and paragraph count. These help you understand the scale of your text.
Advanced metrics such as readability scores, keyword density, and sentiment analysis belong to dedicated tools. This analyzer deliberately stays with what it can measure in the browser: characters with and without spaces, words, sentences, lines, paragraphs, reading time, and character frequency.
Common Use Cases
Text analysis is used in many scenarios:
- Academic writing - Meet word count requirements for essays and papers
- Social media - Stay under character limits for Twitter, Instagram, etc.
- SEO optimization - Optimize content length for search engines
- Translation - Estimate translation costs based on word count
- Content editing - Identify repetitive words and phrases
- Readability testing - Ensure content matches your audience's level
Understanding Readability Scores
Readability scores tell you how easy your text is to read. The analyzer on this page does not calculate any of them — it reports counts. The formulas below are background for the moment you reach for a dedicated readability tool.
Flesch Reading Ease scores 0-100. Higher is easier. 60-70 is standard. 30-50 is college level. 0-30 is graduate level.
Flesch-Kincaid Grade Level tells you the US school grade needed to understand the text. 8.0 means 8th grade level.
Gunning Fog Index estimates years of formal education needed. It is more conservative than Flesch-Kincaid.
Optimizing for Different Platforms
Different platforms have different requirements:
- Twitter/X - 280 characters per tweet
- Instagram - 2,200 characters per caption
- LinkedIn - 3,000 characters per post
- Blog posts - 1,500-2,500 words for SEO
- Meta descriptions - 150-160 characters
- Email subject lines - 40-50 characters for mobile
FAQ
Q.How accurate are word counts?
A.It matches a whitespace split exactly: every run of non-whitespace characters counts as one word, and punctuation does not separate words. Tools that treat punctuation as a separator report different numbers for the same text, so compare counts from the same tool when the exact figure matters.
Q.Does it work with Chinese and other languages?
A.Partly. Nothing is broken for languages that separate words with spaces. CJK text written without spaces reports as a single word, because the split is on whitespace — for those texts use the CJK Characters figure and the character count instead.
Q.Which readability score should I use?
A.This analyzer does not produce readability scores. It gives you the inputs those formulas need — word, sentence, and character counts — which you can paste into a dedicated readability tool. Flesch Reading Ease is the common starting point for general prose; Flesch-Kincaid suits educational material.
References
- Unicode UAX #29 – Unicode Text Segmentation: https://www.unicode.org/reports/tr29/
Analyze text locally
Count characters, words, lines, and Unicode properties in your browser without uploads.
Conclusion
Unicode-aware analysis catches what simple counters miss. Analyze text locally with the Text Analyzer.
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