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

Delimiter Converter — Convert Comma, Pipe, Tab & Custom-Separated Lists

The Delimiter Converter turns a plain list of values into whatever separated format you need — comma-separated (CSV), pipe-delimited, tab-separated, or a custom character of your choice. It's built for analysts, developers, and QA engineers who need to convert a list to comma separated values for a spreadsheet, reformat a tab separated to comma separated export, or quickly wrap each item in quotes for a SQL IN (...) clause. Paste your list, pick a delimiter, and get a clean result instantly — no spreadsheet software or scripting required.

⚡ Key Takeaways

Converts between comma, pipe, tab, and custom delimiters in one click — no spreadsheet needed.
Optional quoting and wrapping build a ready-to-paste SQL IN (...) clause or code array instantly.
Duplicate removal and whole-output wrapping are built in, not separate steps.
Everything runs in your browser — your list is never uploaded anywhere.

What, Who, When & Why

What it's for	Converts a list of values into a different delimiter format — comma, pipe, tab, or a custom character — with optional quoting and wrapping.
Who it's for	Analysts, developers, and QA engineers who regularly move data between spreadsheets, SQL queries, and code.
When to use it	Whenever you've copied a column of values and need it reshaped into a different separated format, or wrapped in quotes for a query.
Why it's needed	Manually retyping, quoting, or re-separating dozens or hundreds of values by hand is slow and error-prone — one missed comma or quote breaks the whole result.
Best way to use it	Paste your raw list first, then toggle quoting and wrapping options one at a time so you can see exactly how each setting changes the output before copying.

How to Use the Delimiter Converter

Paste your list into the Input box — one value per line, or already separated by some delimiter.
Choose your input delimiter (or let it auto-detect line breaks) and your desired output delimiter — comma, pipe, tab, or a custom character.
Turn on optional settings: wrap each value in quotes, add a prefix/suffix per item (like parentheses for SQL), remove duplicates, or wrap the whole output in brackets.
Click Convert to see the result appear instantly in the output box.
Click Copy to copy the converted list to your clipboard, ready to paste elsewhere.

Inputs and Results

The Input box accepts any list of text — one item per line is the most common format, but the tool can also split on an existing delimiter if your data is already separated by commas, pipes, or tabs. The Output box shows the converted result using your chosen delimiter and formatting options. A live item count above each box shows exactly how many values are being processed, so you can quickly confirm nothing was dropped.

Example: Converting a List to Comma-Separated Values

Suppose you have a column of customer names copied from a spreadsheet, one per line:

Alice
Bob
Charlie

With quotes enabled and comma selected as the output delimiter, the Delimiter Converter turns this into:

'Alice','Bob','Charlie'

Add the "Wrap Whole Output" option with ( and ) and you get a ready-to-paste SQL IN clause: ('Alice','Bob','Charlie') — a common task for anyone writing WHERE clauses against a list of known values.

Key Features

Multiple delimiter options — comma, pipe, tab, newline, or any custom character.
Quote wrapping — automatically wrap each value in single or double quotes.
Per-item tags — add a custom prefix and suffix to every value (useful for building code snippets).
Whole-output wrapping — enclose the entire result in brackets or parentheses in one click.
Duplicate removal — strip repeated values before converting.
Live item counts — see exactly how many values are in your input and output.
Interval wrapping — group and wrap values at set intervals for more complex formatting needs.
Runs entirely in your browser — nothing you paste is uploaded anywhere.

Practical Use Cases

Building SQL queries: convert a column of IDs into a quoted, comma-separated list for a WHERE id IN (...) clause.
Preparing CSV data: reformat a tab-separated export (common when copying from Excel) into true comma-separated values.
Generating code arrays: wrap each line in quotes and commas to quickly build a JavaScript or Python array literal.
Cleaning pasted data: remove duplicate entries from a list before importing it elsewhere.
Reformatting for APIs: some APIs expect pipe- or tab-delimited input instead of comma-separated — this tool switches between them in one step.

Related Terminology

Delimiter: a character used to separate individual values in a list or file, such as a comma, pipe (|), or tab. CSV (comma-separated values): a plain-text format where each value is separated by a comma, widely used for spreadsheets and data exports. Delimited list: any sequence of values separated by a consistent character. Quoting: wrapping each value in single or double quotes, often required when values may contain the delimiter character itself or when preparing string literals for SQL or code.

Important Considerations

If your source values themselves contain the delimiter character you're converting to (for example, a name containing a comma), consider quoting each value to avoid ambiguity when the result is parsed elsewhere. Blank lines in your input are treated as empty values unless removed beforehand. All processing happens locally in your browser, so there's no file size limit imposed by a server — though extremely large lists (hundreds of thousands of lines) may take a moment to process.

Related Tools

If you're working with structured data, the CSV ⇄ JSON Converter can take your comma-separated output further and turn it into JSON. For building SQL statements from a list, try the SQL Value Generator, which is purpose-built for wrapping values in a ready-to-use IN (...) clause. To clean up whitespace before converting, the Whitespace Trimmer is a handy first step.

Frequently Asked Questions

How do I convert a list to comma-separated values?

Paste your list into the Input box (one item per line), select comma as the output delimiter, and click Convert. The result appears in the Output box, ready to copy.

Can I wrap each value in quotes automatically?

Yes — enable the quote option in the settings panel and choose single or double quotes. Each value in the output will be wrapped automatically, which is especially useful when building SQL queries or code arrays.

How do I convert tab-separated data to comma-separated?

Paste your tab-separated data into the Input box, set the input delimiter to tab (or leave auto-detect on), set the output delimiter to comma, and click Convert.

Does this tool remove duplicate values?

Yes, there's an optional duplicate-removal setting that strips repeated values before the list is converted, so your output only contains unique entries.

Is my data uploaded anywhere when I use this tool?

No. All conversion happens directly in your browser using JavaScript — nothing you paste is sent to a server, which makes it safe to use with sensitive or internal data.

Case Converter

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

Input

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.

Input

Output

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

Delimiter Converter — Convert Comma, Pipe, Tab & Custom-Separated Lists

⚡ Key Takeaways

What, Who, When & Why

How to Use the Delimiter Converter

Inputs and Results

Example: Converting a List to Comma-Separated Values

Key Features

Practical Use Cases

Related Terminology

Important Considerations

Related Tools

Frequently Asked Questions

How do I convert a list to comma-separated values?

Can I wrap each value in quotes automatically?

How do I convert tab-separated data to comma-separated?

Does this tool remove duplicate values?

Is my data uploaded anywhere when I use this tool?

Archived Notes

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