Text Stats Analyzer

The analyzer provides comprehensive statistics including character counts (with/without spaces), word count, sentence count, paragraph count, average words per sentence, average characters per word, reading time estimates, readability scores, and text complexity metrics.

Reading time is calculated using the average reading speed of 200-250 words per minute for adults. The tool provides estimates for different reading speeds (slow, average, fast) to accommodate various skill levels and reading contexts. The calculation accounts for word count and text complexity.

The readability score typically uses algorithms like Flesch Reading Ease or Flesch-Kincaid Grade Level. These formulas consider average sentence length and syllable count to determine how easy the text is to read. Higher scores indicate easier readability, while lower scores suggest more complex text.

Sentences are identified by terminal punctuation marks (periods, exclamation marks, question marks). Paragraphs are separated by line breaks or double line breaks. The tool handles various formatting styles and can adapt to different text structures.

The complexity measurements provide good estimates based on established linguistic formulas. However, true readability depends on factors like vocabulary difficulty, subject matter familiarity, and reader background that automated tools cannot fully assess. Use these metrics as guidelines rather than absolute measures.

The basic statistics (character count, word count) work for any language. However, readability scores and some complexity metrics are designed for English and may not be accurate for other languages due to different linguistic structures, syllable patterns, and grammar rules.

Average word length is the mean number of characters per word in your text. Shorter words are generally easier to read and understand, making them ideal for broader audiences. easier to read and understand, making them ideal for broader audiences. Longer words might indicate more technical or complex content that could require higher reading skills.

Use the metrics to match your writing to your audience: shorter sentences and words for general audiences, check if reading time fits your content goals, aim for appropriate readability scores for your target readers, and balance sentence length variation for better and balance sentence length variation for better flow and engagement.

Sentence length distribution shows the variety in your sentence structures. Good writing typically has a mix of short, medium, and long sentences. Too many short sentences a mix of short, medium, and long sentences. Too many short sentences can feel choppy, while too many long sentences can be difficult to follow. Aim for varied sentence lengths for better readability.

The tool analyzes the raw text as provided. If your text contains HTML tags, markdown, or other formatting codes, these will be counted as characters and may affect the statistics. codes, these will be counted as characters and may affect the statistics. For accurate content analysis, paste plain text without markup or formatting codes.

You can copy the statistical results from the display areas. The tool shows all metrics in an organized format that you can easily copy to documents, spreadsheets, or other applications format that you can easily copy to documents, spreadsheets, or other applications for record-keeping or further analysis.

The statistics help optimize content for search engines and user experience: reading time helps plan content length for engagement, readability scores ensure content accessibility, word density analysis helps with keyword optimization, and sentence structure metrics improve content flow and user engagement.