Free online word counter and character counter. Count words, characters, sentences, paragraphs, lines, and estimate reading time instantly — no signup required.
Word Counter is a free online word counter and character counter tool that analyzes your text in real time. It displays detailed statistics including word count, character count (with and without spaces), sentence count, paragraph count, line count, and estimated reading time. All calculations happen instantly in your browser as you type — no data is sent to any server, making it safe for confidential and sensitive content.
Use this word counter whenever you need to check the length of your writing against specific limits — whether it's a tweet (280 characters), a Google meta description (155–160 characters), a college essay, a cover letter, or any other content with character or word constraints. It is also useful for estimating reading time, which helps bloggers and content creators plan their articles for optimal reader engagement.
Writers and editors use Text Counter to verify word counts for articles, blog posts, and academic papers. Social media managers check character limits for tweets and LinkedIn posts. SEO specialists monitor meta title and description lengths. Developers count lines of code or configuration text. Students ensure their essays meet minimum or maximum word requirements. Content strategists estimate reading time to optimize content length for their audience.
Essential terms and definitions related to Word Counter & Text Counter.
The total number of individual characters in a text, including letters, numbers, punctuation, and optionally spaces. Character counts are critical for platform limits: Twitter/X (280 characters), SMS (160 characters), Google meta descriptions (155-160 characters), and HTML title tags (60 characters). Most tools distinguish between "with spaces" and "without spaces" counts.
The number of words in a text, typically determined by splitting on whitespace characters. Word count is the standard metric for content length in blogging (optimal: 1,500-2,500 words for SEO), academic writing, and copywriting. Different splitting algorithms may count hyphenated words and contractions differently.
An estimate of how long it takes to read a text, calculated by dividing word count by average reading speed (typically 200-250 words per minute for adults). Reading time is displayed on blog posts and articles to set reader expectations. Technical content may warrant a lower WPM estimate (~150-180) due to complexity.
The tool shows two separate character counts: one including spaces and one excluding spaces. This gives you both the raw character count and the net character count for use cases like social media limits.
Reading time is estimated using an average reading speed of 200 words per minute, which is a commonly accepted baseline for general text. Technical content may take longer to read.
Sentences are counted by detecting terminal punctuation marks: periods, exclamation marks, and question marks. Abbreviations may slightly inflate the count in edge cases.
Yes. The line count reflects the total number of newlines in your text including blank lines, which matches the behavior of most code editors and word processors.
Common errors developers encounter and how to resolve them.
Word count differs across tools: Word splitting algorithm differences Word counting algorithms produce different results depending on how they define a "word." This tool uses whitespace-based splitting: each token separated by spaces, tabs, and newline characters counts as one word. However, some tools count hyphenated words ("state-of-the-art") as one word, while others count them as 4 separate words. URLs, email addresses, and numeric expressions may also be handled differently. For consistent results, use the same tool as your reference.
CJK (Chinese/Japanese/Korean) character count incorrect: Unicode length difference In JavaScript, String.length returns the number of UTF-16 code units, not the number of characters. Characters outside the BMP (Basic Multilingual Plane) — such as emojis and some CJK ideographs — use surrogate pairs and count as 2 code units. For example, the 😀 emoji returns length=2. For accurate character count, use [...str].length or the Intl.Segmenter API. Use this tool to verify the actual character count of your text.
Sentence count inflated: Abbreviations and decimal numbers produce false positives Period (.) based sentence detection can falsely identify sentence endings in abbreviations like "Dr.", "vs.", "etc." and in decimal numbers like "3.14." NLP-based sentence boundary detection produces more accurate results in these cases. Practical solution: use this tool's sentence count as an approximate estimate, and refer to NLP libraries when exact sentence counts are required.