⚙️ Settings
Text Statistics — Word Counter, Character Counter & Text Analyzer
Text Statistics gives you a full breakdown of any block of text: word count, character count, sentence count, paragraph count, and average word and sentence length. It's built for writers, students, and editors who need a word counter with character count to meet a length requirement, or who want to understand the readability and structure of a piece of writing at a glance. Paste your text and see every metric update instantly.
⚡ Key Takeaways
- Reports word count, character count, sentence count, paragraph count, and average lengths.
- Character counts are shown both with and without spaces.
- Average sentence length is a useful rough signal for readability.
- Sentence detection relies on standard punctuation, which can affect unconventional text.
What, Who, When & Why
| What it's for | Analyzes text to report word count, character count, sentence count, paragraph count, and average word/sentence length. |
|---|---|
| Who it's for | Writers, students, and editors checking whether text meets a length requirement or reviewing its structure. |
| When to use it | Before submitting or publishing text with a length requirement, or when editing for clarity and readability. |
| Why it's needed | Manually counting words or sentences in anything longer than a paragraph is impractical and unreliable. |
| Best way to use it | Use average sentence length as a rough editing signal — consistently long averages often mean text would benefit from shorter sentences. |
How to Use Text Statistics
- Paste or type your text into the Input box.
- Click Analyze to generate the full statistics breakdown.
- Review word count, character count (with and without spaces), sentence count, paragraph count, and average lengths.
- Click Copy Results to copy the full statistics summary for use in a report or note.
What Each Statistic Means
| Metric | What it measures |
|---|---|
| Word count | Total number of words, split on whitespace |
| Characters (with spaces) | Every character including spaces and punctuation |
| Characters (no spaces) | Character count excluding spaces |
| Sentence count | Number of sentences, detected by ending punctuation |
| Paragraph count | Number of paragraphs, split on blank lines |
| Avg. word length | Average number of characters per word |
Example
For the text: "The quick brown fox jumps over the lazy dog. The dog slept." — Text Statistics reports 12 words, 44 characters (with spaces), 2 sentences, 1 paragraph, and an average word length of about 3.7 characters. This kind of breakdown is useful for checking whether a summary meets a target word count, or getting a quick sense of a document's density before deciding whether it needs to be trimmed or expanded.
Key Features
- Word count and character count (with and without spaces) in one view.
- Sentence and paragraph counts for structural analysis.
- Average word and sentence length for a quick readability signal.
- Copy Results button to export the full summary.
- Works on any length of text, updated instantly on demand.
Practical Use Cases
- Meeting length requirements: check whether an essay, meta description, or summary fits a required word or character count.
- Editing for clarity: average sentence length can flag overly long, hard-to-read sentences that might benefit from being split.
- Content planning: estimate reading time or content depth before publishing.
- Comparing drafts: check whether an edited version is more concise than the original.
- Academic writing: verify a submission meets a required minimum or maximum word count before submitting.
Tips for Best Results
- Use average sentence length as a rough editing signal — consistently long averages often indicate text that would benefit from being broken into shorter sentences.
- Copy the full results summary when documenting content metrics for a report or content audit.
- Re-run Analyze after each significant edit to track how your changes affect the overall statistics.
Related Terminology
Character count is often required to have two forms — with spaces (total keystrokes) and without spaces (letters and punctuation only) — since different platforms (like social media character limits) count differently. Average word length and average sentence length are commonly used as rough proxies for reading difficulty; shorter averages generally read more easily.
Important Considerations
Sentence detection relies on standard punctuation (periods, question marks, exclamation points), so unconventional formatting — like text without ending punctuation, or heavy use of abbreviations with periods — can affect the sentence count's accuracy. Paragraph count depends on blank lines separating paragraphs in your input.
Related Tools
Once you've reviewed your text's stats, the Text Comparator can show you exactly what changed between two drafts. For fixing capitalization before finalizing, try the Case Converter, and for stripping extra whitespace that might skew a character count, use the Whitespace Trimmer.
Frequently Asked Questions
How do I count words and characters at the same time?
Paste your text and click Analyze — the results show word count alongside character counts (both with and without spaces) in a single view.
Does character count include spaces?
The tool shows both figures separately — one character count including spaces, and one excluding them — since different use cases need different counts.
How is sentence count calculated?
Sentences are detected based on ending punctuation like periods, question marks, and exclamation points.
Can I use this to estimate reading time?
The tool doesn't calculate reading time directly, but the word count it provides is the standard input for most reading-time estimates (typically 200–250 words per minute).
Can average sentence length tell me if my writing is hard to read?
It's a useful rough signal — consistently long average sentence length often correlates with harder-to-read text, though it's not a complete readability measure on its own.
WITH recent_orders AS (
SELECT
customer_id,
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order_date,
total_amount
FROM orders
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)
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customer_id,
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SUM(total_amount) AS total_spent
FROM recent_orders
GROUP BY customer_id
ORDER BY total_spent DESC;
WITH RECURSIVE employee_hierarchy AS (
-- Anchor: top-level rows (no manager)
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FROM employee_hierarchy
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-- Note: SQL Server / Oracle: drop the RECURSIVE keyword (just WITH employee_hierarchy AS (...))
SELECT
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-- FORMAT(order_date, 'yyyy-MM') AS order_month, -- SQL Server
-- DATE_FORMAT(order_date, '%Y-%m') AS order_month, -- MySQL
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#FACC15
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hsv(46, 92%, 98%)
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