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

Tags

Interval newline every X

Interval Wrap

Wrap Whole Output Adds to the very start/end of the result — handy for ('a','b') or [a, b]

✓ Copied!

Case Converter

Switch between UPPER, lower, Title Case, and Sentence case.

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Output

Duplicate Line Remover

Remove duplicate lines, optionally sort alphabetically or by length.

Input

Output

Number Extractor

Extract all integers, decimals, and percentages from text.

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Output

Character Counter

Count characters, words, and lines with detailed stats.

Input

Stats

Text Reverser

Reverse strings, words, or the order of lines.

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Output

Find & Replace

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

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Output

Find & Replace Conditions

Prefix / Suffix Stamper

Add custom prefix and suffix to every line.

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Output

Whitespace Trimmer

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

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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.

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Output

Alphabetical Sorter

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

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Output

Escape / Unescape

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

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Output

Line Number Stamper

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

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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

SQL Query Explainer — Get a Plain-English Breakdown of a SQL Query

The SQL Query Explainer reads any SQL query and produces a plain-English breakdown of what it selects, joins, filters, and sorts. It's built for developers, analysts, and anyone learning SQL who needs to understand what a SQL query does quickly — reviewing someone else's query, documenting a report, or checking your own logic before running it. It works entirely through pattern matching, running offline with no AI involved.

⚡ Key Takeaways

Breaks down what a query selects, joins, filters, groups, and sorts — in plain English.
Runs entirely offline through pattern matching — no AI, nothing sent anywhere.
Flags UPDATE and DELETE statements missing a WHERE clause before you run them.
Explains query logic, not performance — use your database's execution plan for that.

What, Who, When & Why

What it's for	Reads a SQL query and produces a plain-English breakdown of what it selects, joins, filters, and sorts.
Who it's for	Developers, analysts, and SQL learners reviewing unfamiliar or complex queries.
When to use it	When reviewing someone else's query, documenting a report, or double-checking your own logic before running it.
Why it's needed	Parsing a complex, unfamiliar query by eye is slow and easy to misread, especially with multiple joins or nested conditions.
Best way to use it	Pay close attention to its warning about UPDATE or DELETE statements missing a WHERE clause before running anything against real data.

How to Use the SQL Query Explainer

Paste any SQL query — SELECT, INSERT, UPDATE, DELETE, CREATE, or a CTE (WITH) statement.
Click Explain.
Read the structured breakdown covering the statement type, tables, joins, filters, grouping, and sorting.

Example

Given this query:

SELECT c.name, COUNT(o.id)
FROM customers c
LEFT JOIN orders o ON o.customer_id = c.id
GROUP BY c.name;

The explainer produces a breakdown similar to:

📋 Statement type: SELECT
📌 Selects: c.name, COUNT(o.id)
🗄️ Main table: customers
🔗 LEFT JOIN orders — matched on: o.customer_id = c.id
📊 Groups results by: c.name

For a query with a WHERE clause and an ORDER BY, the breakdown would additionally list the filter condition and sort order as their own separate lines — giving you a clear, structured checklist of everything the query does instead of having to parse the raw SQL syntax yourself.

Key Features

Identifies the statement type (SELECT, INSERT, UPDATE, DELETE, CREATE, or CTE).
Breaks down selected columns, aggregate functions used, and the main table.
Explains joins, including join type and the matching condition.
Summarizes WHERE filters, GROUP BY, HAVING, ORDER BY, and LIMIT clauses.
Flags UPDATE and DELETE statements that lack a WHERE clause, since those affect every row in the table.
Runs entirely offline using pattern matching — no query is sent anywhere, and no AI is involved.

Practical Use Cases

Reviewing unfamiliar queries: quickly understand what a colleague's or a legacy query actually does before modifying it.
Learning SQL: see a structured breakdown of a query's logic while studying how each clause works.
Pre-execution safety check: catch UPDATE or DELETE statements missing a WHERE clause before running them against a real database.
Documentation: generate a quick plain-English summary of a query for a wiki or code comment.
Code review: get a fast structural overview of a query before diving into a detailed review.

Tips for Best Results

Run your query through the SQL Formatter first if it's dense and unindented — a cleanly formatted query is easier to visually cross-reference against the explanation.
Pay special attention to the safety warning about missing WHERE clauses before running any UPDATE or DELETE statement against production data.
Use the explanation as a starting point for documentation, then add any business-specific context the tool wouldn't know, like why a particular filter exists.

Related Terminology

This tool uses pattern matching — recognizing structural keywords like SELECT, FROM, and JOIN — rather than a full SQL parser or AI model, meaning it works entirely offline and doesn't send your query anywhere for analysis. This is different from a database's own "query execution plan," which explains how the database will physically execute a query rather than what it logically does.

Important Considerations

Because it relies on recognizable SQL keywords and structure, extremely unusual formatting, vendor-specific syntax, or deeply nested subqueries may not be broken down perfectly — treat the explanation as a helpful summary rather than an exhaustive, guaranteed-complete analysis of complex queries. This tool explains what a query is asking for, not how efficiently the database will run it — for performance analysis, you'd need your database's own execution plan tools.

Related Tools

Format a messy query first with the SQL Formatter for easier reading. To remove comments before explaining or sharing a query, use the Query Sanitizer. For boilerplate patterns to compare against, browse the SQL Query Templates.

Frequently Asked Questions

Does this use AI to explain my query?

No, it uses offline pattern matching against known SQL keywords and structure — your query is never sent anywhere, and no AI model is involved.

Can it explain INSERT, UPDATE, and DELETE statements, not just SELECT?

Yes, it recognizes and explains SELECT, INSERT, UPDATE, DELETE, CREATE, and WITH (CTE) statements.

Will it warn me about a dangerous query?

Yes, it flags UPDATE and DELETE statements that don't include a WHERE clause, since those would affect every row in the table.

Does it tell me how fast or efficient my query is?

No, it explains what the query logically does, not its performance — for execution speed and efficiency, use your database engine's own query execution plan tools.

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

Archived Notes

SQL Query Explainer — Get a Plain-English Breakdown of a SQL Query

⚡ Key Takeaways

What, Who, When & Why

How to Use the SQL Query Explainer

Example

Key Features

Practical Use Cases

Tips for Best Results

Related Terminology

Important Considerations

Related Tools

Frequently Asked Questions

Does this use AI to explain my query?

Can it explain INSERT, UPDATE, and DELETE statements, not just SELECT?

Will it warn me about a dangerous query?

Does it tell me how fast or efficient my query is?

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