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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.

Example Text Metrics — Two-Sentence Sample

Characters

Words

Sentences

Paragraphs

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.

SQL Query Templates

Ready-to-use boilerplate for common query patterns — CTEs, joins, date rollups, window functions, and stored procedures. Click Copy and adapt the table/column names.

CTE

Basic CTE (Common Table Expression)

Break a query into a readable, reusable named block.

WITH recent_orders AS (
    SELECT
        customer_id,
        order_id,
        order_date,
        total_amount
    FROM orders
    WHERE order_date >= DATEADD(day, -30, GETDATE())
)
SELECT
    customer_id,
    COUNT(order_id)   AS order_count,
    SUM(total_amount) AS total_spent
FROM recent_orders
GROUP BY customer_id
ORDER BY total_spent DESC;

Recursive CTE (hierarchy / org chart)

Walk a parent-child tree, e.g. an employee/manager hierarchy.

WITH RECURSIVE employee_hierarchy AS (
    -- Anchor: top-level rows (no manager)
    SELECT
        employee_id,
        manager_id,
        employee_name,
        1 AS level
    FROM employees
    WHERE manager_id IS NULL

    UNION ALL

    -- Recursive: join children to their parent's result
    SELECT
        e.employee_id,
        e.manager_id,
        e.employee_name,
        eh.level + 1
    FROM employees e
    INNER JOIN employee_hierarchy eh
        ON e.manager_id = eh.employee_id
)
SELECT *
FROM employee_hierarchy
ORDER BY level, employee_name;
-- Note: SQL Server / Oracle: drop the RECURSIVE keyword (just WITH employee_hierarchy AS (...))

Joins

INNER / LEFT JOIN across multiple tables

Combine orders with customers and line items in one query.

SELECT
    o.order_id,
    c.customer_name,
    o.order_date,
    p.product_name,
    oi.quantity
FROM orders o
INNER JOIN customers c
    ON o.customer_id = c.customer_id
LEFT JOIN order_items oi
    ON o.order_id = oi.order_id
LEFT JOIN products p
    ON oi.product_id = p.product_id
WHERE o.order_date >= '2026-01-01'
ORDER BY o.order_date DESC;

GROUP BY / Dates

Monthly rollup with GROUP BY on a date

Aggregate a date column by month (swap the truncation line for your engine).

SELECT
    DATE_TRUNC('month', order_date) AS order_month,     -- PostgreSQL
    -- FORMAT(order_date, 'yyyy-MM')  AS order_month,    -- SQL Server
    -- DATE_FORMAT(order_date, '%Y-%m') AS order_month,  -- MySQL
    COUNT(*)          AS order_count,
    SUM(total_amount) AS revenue
FROM orders
GROUP BY DATE_TRUNC('month', order_date)
ORDER BY order_month;

Window Functions

ROW_NUMBER + running total

Rank each customer's orders and compute a running total.

SELECT
    customer_id,
    order_id,
    order_date,
    total_amount,
    ROW_NUMBER() OVER (
        PARTITION BY customer_id
        ORDER BY order_date DESC
    ) AS order_rank,
    SUM(total_amount) OVER (
        PARTITION BY customer_id
        ORDER BY order_date
        ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW
    ) AS running_total
FROM orders;

Stored Procedures

Parameterized stored procedure

A basic proc with optional date-range filters (T-SQL syntax).

CREATE PROCEDURE GetCustomerOrders
    @CustomerId INT,
    @StartDate  DATE = NULL,
    @EndDate    DATE = NULL
AS
BEGIN
    SET NOCOUNT ON;

    SELECT
        order_id,
        order_date,
        total_amount
    FROM orders
    WHERE customer_id = @CustomerId
        AND (@StartDate IS NULL OR order_date >= @StartDate)
        AND (@EndDate   IS NULL OR order_date <= @EndDate)
    ORDER BY order_date DESC;
END;
-- Call it: EXEC GetCustomerOrders @CustomerId = 101, @StartDate = '2026-01-01';

Upsert / Merge

MERGE (upsert) from a staging table

Insert new rows and update matching ones in a single statement.

MERGE INTO customers AS target
USING staging_customers AS source
    ON target.customer_id = source.customer_id
WHEN MATCHED THEN
    UPDATE SET
        target.customer_name = source.customer_name,
        target.email         = source.email,
        target.updated_at    = GETDATE()
WHEN NOT MATCHED THEN
    INSERT (customer_id, customer_name, email, created_at)
    VALUES (source.customer_id, source.customer_name, source.email, GETDATE());

🎨 Color Picker & Converter

Pick a color (or type a value) and get HEX, RGB, HSL, HSV, and CMYK instantly — copy any format with one click.

HEX

#FACC15

RGB

rgb(250, 204, 21)

RGB Percent

rgb(98%, 80%, 8%)

HSL

hsl(46, 96%, 53%)

HSV / HSB

hsv(46, 92%, 98%)

CMYK

cmyk(0%, 18%, 92%, 2%)

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