实时统计字符数、单词数、行数、阅读时间等文本分析指标
Text statistics is the quantitative analysis of a text across multiple dimensions, helping users quickly understand the scale, structure, and readability characteristics of their content. Whether you're writing, translating, doing SEO optimization, or programming, text statistics is one of the most fundamental analysis tools. Litekithub's Text Statistics Tool provides real-time, comprehensive text analysis covering multiple metrics including character count, word count, sentence count, paragraph count, and estimated reading time.
Counts all characters in the text, including letters, numbers, punctuation, spaces, and line breaks. This is the most basic measure of a text's "raw length" and is important in scenarios like database storage, API payload size, and character limits.
Counts characters excluding all whitespace (spaces, tabs, line breaks, etc.). This metric more accurately reflects the amount of meaningful content and is commonly used for academic word counts and social media post limits (e.g., Twitter's 280-character limit).
Counts the number of words in the text. This tool features intelligent CJK (Chinese, Japanese, Korean) character recognition: for languages without explicit word delimiters like Chinese, Japanese, and Korean, each CJK character is counted as one "word," while Latin-based languages are split by whitespace. This makes word counting significantly more accurate and fair for multilingual mixed text.
The number of lines in the text (separated by newline character
). For code, poetry, tabular data, and other text organized by lines, line count is an important structural metric.
Counts sentences by detecting sentence-ending punctuation (., !, ?, 。, ！, ？). Sentence count helps evaluate text complexity and readability — longer average sentence length generally indicates more complex text.
Counts paragraphs separated by blank lines (consecutive newline characters). Paragraph structure is an important indicator of writing organization quality — well-structured paragraphs significantly improve the reading experience.
The actual byte size of the text in UTF-8 encoding. This is useful for practical engineering concerns like storage estimation, network transmission cost, and API request size limits. Note that Chinese characters typically occupy 3 bytes in UTF-8, while English characters occupy only 1 byte.
Estimated reading duration based on an average reading speed of 200 words per minute. This is a commonly used reference metric for content creators, bloggers, and documentation writers to estimate the time investment required from readers.
Estimated speaking duration based on an average speech rate of 130 words per minute. This is particularly useful for preparing speeches, recording audio/video content (podcasts, video scripts), and presentations.
Text statistics may seem simple, but doing it manually is time-consuming and error-prone, especially with multilingual mixed text. Litekithub's online text statistics tool offers these advantages:
No installation required — just open your browser. An essential tool in every content creator's, developer's, and translator's toolkit.