Comprehensive text analysis with word count, readability scores, and advanced statistics
Word counting requires tokenization—splitting text into discrete units. This tool uses regex patterns to identify word boundaries: split on whitespace (\\s+), but handle contractions (don't = 1 word), hyphenated compounds (well-known = 1 or 2 words depending on style guide), and punctuation attachment. Character counts include or exclude spaces based on toggle. Sentence detection splits on periods/exclamation/question marks followed by whitespace + capital letter—fails on abbreviations (Dr. Smith) unless you maintain exception lists. Paragraph counting splits on \\n\\n (double newline). Reading time estimates assume 200-250 words/minute for average adult English readers; actual speed varies by complexity, familiarity, and language. All processing client-side via JavaScript string methods.
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This tool uses client-side WebAssembly to ensure your data never touches a server. Secure, fast, and 100% private by design.
Type or paste text—counters update on every keystroke (input event listener).
Word count uses text.split(/\s+/).filter(w => w.length > 0).length.
Character count toggles between text.length (with spaces) and stripped count.
Sentence detection looks for [.!?] followed by space and capital letter.
Reading time = (wordCount / 238 words-per-minute) rounded to nearest minute.
Ensure tweet fits 280 character limit
Just launched our new product! Check it out at example.com #startup #tech
12 words, 73 characters (including spaces) - Fits in 1 tweet
Check if article meets 1000-word minimum for SEO
[Long blog article text...]
1,247 words, 6,834 characters, 57 sentences, 12 paragraphs, ~5 min read
Confirm essay meets 500-word requirement
[Essay text...]
523 words, 3,102 characters, 28 sentences, 5 paragraphs
Ensure posts fit platform character limits.
Meet minimum word count for blog posts to rank well.
Verify essay meets professor's word count requirements.
Create meta descriptions within Google's 155-character limit.
Words are defined as sequences separated by whitespace: - **Whitespace**: spaces, tabs, line breaks - **Contractions**: "don't" = 1 word (no space) - **Hyphenated**: "state-of-the-art" = multiple words (splits on hyphens in most counters) - **Numbers**: "2024" = 1 word - **Punctuation**: excluded from word count but included in character count Different platforms may count differently. Our algorithm matches Twitter/X and most online platforms.
Based on research studies: **Average reading speed**: 200-250 words per minute (WPM) **Our calculation**: uses 225 WPM (middle ground) **Adjustments for content type**: - Fiction/narrative: ~250 WPM (faster) - Technical docs: ~150 WPM (slower) - Academic papers: ~180 WPM (slower) - Skimming/scanning: ~400 WPM Est. speaking time assumes 150 WPM (slower than reading).
**Character (our count)**: UTF-16 code units **Code Point**: Unicode standard characters **Grapheme**: Visual characters (emoji may be multiple) Example: 👨‍👩‍👧‍👦 (family emoji) - Visual: 1 emoji - Our counter: 7 characters - Why: Made of multiple Unicode characters (ZWJ sequences) For most text, all three counts match. Emoji-heavy text may differ.
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Learn more about this tool and related topics in our blog.
Clean up messy drafts and automate your writing workflow. 10 essential text utilities that will save you hours of manual formatting.
Privacy isn't a perk, it's a requirement. See why top developers are ditching cloud converters for local-first browser utilities.
