Delim Converter

Convert lists between comma, pipe, tab, and custom delimiters with advanced options.

Input 0 items

Output 0 items

⚙️ Settings

Tidy Up Remove newlines

Attack clones Remove duplicates

Explode

Quotes

None Double " " Single ' '

Delimiter

Number Extractor — Pull Numbers, Prices & Percentages from Text

The Number Extractor scans any block of text and pulls out every number it finds — integers, decimals, and percentages — leaving the surrounding text behind. It's built for analysts who need to extract numbers from text pasted from a report, invoice, or web page, without manually copying each figure one at a time. Paste your text and get a clean list of every numeric value found.

⚡ Key Takeaways

Pulls integers, decimals, and percentages out of narrative text automatically.
Strips currency symbols and thousands-separator commas from the extracted values.
Doesn't distinguish a price from a quantity — review the results for context.
Great as a fast first pass before manually confirming which figures matter.

What, Who, When & Why

What it's for	Pulls every integer, decimal, and percentage out of a block of unstructured text.
Who it's for	Analysts who need to pull figures out of a pasted report, email, or web page without manually copying each number.
When to use it	When you've received data as narrative text (a report, an email, a pasted table) rather than a clean spreadsheet, and need just the numbers.
Why it's needed	Manually scanning a paragraph and copying each number one at a time is slow and easy to miss a figure, especially in longer text.
Best way to use it	Use it as a fast first pass to see every number mentioned, then manually review the extracted list since the tool doesn't know which number means what.

How to Use the Number Extractor

Paste any text containing numbers into the Input box — a report, email, log file, or pasted table.
Click Extract to pull out every number found.
The Output box lists each extracted number, one per line.
Click Copy to grab the extracted list.

Example

Given this pasted paragraph:

Revenue grew 12.5% to $4,200 this quarter, with 30 new customers and a 2% churn rate.

The Number Extractor pulls out:

This turns unstructured, narrative text into a clean list of figures ready for further analysis or a spreadsheet — no need to manually scan a paragraph and copy each number individually, which becomes tedious and error-prone with longer reports.

Key Features

Detects integers, decimals, and percentage values within any text.
Ignores surrounding words and punctuation, returning only the numeric values.
Handles numbers embedded in sentences, tables, or pasted reports.
One-click copy of the extracted list.

Practical Use Cases

Pulling metrics from reports: extract all figures from a pasted paragraph or PDF-copied text for quick review.
Isolating prices: pull dollar amounts out of a list of product descriptions.
Extracting IDs: pull numeric IDs from log lines or error messages.
Quick data audits: scan a large block of text to see every number mentioned without reading line by line.
Preparing figures for a spreadsheet: extract numbers from a narrative report to paste into a calculation or chart.

Tips for Best Results

Review the extracted list against the source text if precision matters, since context (like currency or units) is stripped away along with the surrounding words.
Combine with the Alphabetical Sorter afterward if you want the extracted numbers sorted for easier scanning.
Use this as a first pass on long reports to quickly see every figure mentioned before deciding which ones are relevant to your analysis.

Related Terminology

The tool identifies numeric patterns including whole numbers, decimal numbers (with a decimal point), and percentages (numbers followed by a % sign). Currency symbols, commas used as thousands separators, and surrounding text are stripped away, leaving just the underlying numeric value — so $4,200 becomes simply 4200 in the output.

Important Considerations

Because the extractor looks for numeric patterns rather than understanding context, it doesn't distinguish between different types of numbers (like a price versus a quantity versus a year) — all numeric values are extracted the same way, so you may need to manually identify which figures matter for your specific analysis afterward. Numbers embedded within longer strings, like part numbers or codes that mix letters and digits, are extracted based on their numeric portions and may need additional review.

Related Tools

Once you've extracted your numbers, the Alphabetical Sorter can sort them, or the Line Number Stamper can add reference numbers to the list. For converting the results into a SQL-ready format, try the SQL Value Generator.

Frequently Asked Questions

How do I extract numbers from a block of text?

Paste the text into the Input box and click Extract — every number found, including decimals and percentages, is listed in the Output box.

Does it extract percentages and decimals, or just whole numbers?

It extracts all three: whole numbers, decimal numbers, and percentages.

Can it tell the difference between a price and a quantity?

No, all numeric values are extracted the same way regardless of context — you'll need to review the results to identify which numbers represent what.

Does it keep the currency symbol with dollar amounts?

No, symbols like $ and commas used as thousands separators are stripped away, leaving just the underlying numeric value.

Character Counter

Count characters, words, and lines with detailed stats.

Input

Stats

Text Reverser

Reverse strings, words, or the order of lines.

Input

Output

Find & Replace

Bulk replace multiple strings at once — add as many find/replace conditions as you need.

Input

Output

Find & Replace Conditions

Prefix / Suffix Stamper

Add custom prefix and suffix to every line.

Input

Output

Whitespace Trimmer

Strip, collapse, or remove all whitespace. "Clean All" does both trim and collapse in one click.

Input

Output

Column Extractor

Extract specific columns from CSV/TSV data.

Input (CSV/TSV)

Output

Split by Chunk

Split a long string into fixed-width chunks.

Input

Output

Alphabetical Sorter

Sort lines A→Z, Z→A, or by line length.

Input

Output

Escape / Unescape

Escape to HTML entities or JSON strings, or unescape back.

Input

Output

Line Number Stamper

Add incremental line numbers (001, 002, 003...) to each row.

Input

Output

SQL Value Generator

Wrap each line in quotes and join → ('a','b','c')

Input

Output

Date Range Generator

Generate a list of dates between two dates with custom intervals.

Start Date

End Date

Interval

Format

Output

Epoch Converter

Convert Unix timestamps to human-readable dates and vice versa.

Unix Timestamp

Human Date

Result

SQL Formatter

Beautify or minify SQL queries with proper indentation.

Input SQL

Output

CASE Statement Builder

Build SQL CASE WHEN statements one condition at a time — no special syntax to remember.

Column / Expression

Conditions

Else (default value)

Generated SQL

Query Sanitizer

Strip comments, SET statements, and trailing semicolons from SQL.

Input SQL

Output

📌 Sticky Notes

Organize your thoughts, tasks, and ideas with drag-and-drop sticky notes.

📌

Click "+ Add Note" to create your first sticky note.

Text Comparator

Compare two texts and see the differences highlighted.

Text A

Text B

Ignore case Ignore whitespace

Differences

Click "Compare" to see differences highlighted.

Ready to compare

Text Statistics

Get detailed statistics about your text: words, characters, paragraphs, sentences, and more.

Input Text

📝 Words

🔤 Characters

📏 Characters (no spaces)

📄 Sentences

📑 Paragraphs

📃 Lines

📊 Avg word length

📊 Avg sentence length

Detailed Results

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%)

CSV ⇄ JSON Converter

Paste CSV or JSON and convert between them. Handles quoted fields, embedded commas, and nested-safe escaping.

Input

Output

SQL Query Explainer

Paste a SQL query and get a plain-English, structured breakdown of what it does. Pattern-based — works fully offline, no AI involved.

SQL Query

Plain-English Breakdown

Unit Converter

Convert data sizes and time durations. Pick a category, enter a value, and see it converted to every other unit.

Tools for analysts, developers & QA engineers

33 free, browser-based utilities — text and list tools, SQL helpers, converters, and small productivity apps. Everything runs locally; nothing you type or paste is ever uploaded.

📊

For Analysts

Clean lists, build SQL fragments, and reshape data without opening a spreadsheet.

💻

For Developers

Format SQL, convert data formats, and handle everyday text and encoding tasks.

🧪

For QA Engineers

Generate test data, compare text output, and sanitize queries before sharing them.

⚙️ Settings

Number Extractor — Pull Numbers, Prices & Percentages from Text

⚡ Key Takeaways

What, Who, When & Why

How to Use the Number Extractor

Example

Key Features

Practical Use Cases

Tips for Best Results

Related Terminology

Important Considerations

Related Tools

Frequently Asked Questions

How do I extract numbers from a block of text?

Does it extract percentages and decimals, or just whole numbers?

Can it tell the difference between a price and a quantity?

Does it keep the currency symbol with dollar amounts?

Archived Notes

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