Delim Converter
Convert lists between comma, pipe, tab, and custom delimiters with advanced options.
Input 0 items
Output 0 items

⚙️ Settings

Remove newlines
Remove duplicates
newline every X
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.
Duplicate Line Remover
Remove duplicate lines, optionally sort alphabetically or by length.
Number Extractor
Extract all integers, decimals, and percentages from text.
Character Counter
Count characters, words, and lines with detailed stats.
Text Reverser
Reverse strings, words, or the order of lines.
Find & Replace
Bulk replace multiple strings at once — add as many find/replace conditions as you need.
Prefix / Suffix Stamper
Add custom prefix and suffix to every line.
Prefix: Suffix:
Whitespace Trimmer
Strip, collapse, or remove all whitespace. "Clean All" does both trim and collapse in one click.
Column Extractor
Extract specific columns from CSV/TSV data.
Columns:
Split by Chunk
Split a long string into fixed-width chunks.
Chunk size:

Split by Chunk — Break a String into Fixed-Width Segments

Split by Chunk breaks a long string into fixed-width segments of a set size — useful for splitting serial numbers, hashes, or IDs into readable, evenly-sized pieces. It's built for developers and QA engineers who need to split a string into equal parts for formatting, display, or further processing, without writing a script to do it. Paste your text, set a chunk size, and get the split result instantly.

⚡ Key Takeaways

  • Splits any string into fixed-width chunks of a size you choose.
  • The final chunk is simply shorter if the string doesn't divide evenly.
  • Splits purely by character count, not by word boundaries.
  • Useful for formatting long hashes, serials, and IDs into readable groups.

What, Who, When & Why

What it's forBreaks a long string into fixed-width chunks of a set character length.
Who it's forDevelopers and QA engineers formatting hashes, serial numbers, or IDs into readable, evenly-sized groups.
When to use itWhen a long string needs to be split into consistent-length segments for display or a fixed-width data format.
Why it's neededManually counting characters and inserting breaks at exact intervals is tedious and easy to get wrong on a long string.
Best way to use itRemove any existing separators from your string first for a clean split, and expect the final chunk to be shorter if the length doesn't divide evenly.

How to Use Split by Chunk

  1. Paste your text into the Input box.
  2. Set the chunk size — the number of characters per segment.
  3. Click Split to break the text into fixed-width chunks, each on its own line.
  4. Click Copy to grab the result.

Example

Given the string abcdefgh with a chunk size of 3, the output is:

abc
def
gh

This is especially useful for formatting long strings like hashes or serial numbers into readable groups, similar to how a credit card number is displayed in groups of four digits, or how a MAC address is grouped into pairs of two characters separated by colons.

Key Features

  • Configurable chunk size — split into any fixed character length.
  • Handles strings that don't divide evenly, with the final chunk simply shorter.
  • Each chunk is placed on its own line in the output for easy reading.
  • Works on any length of input text, split instantly.

Practical Use Cases

  • Formatting hashes or keys: break a long hash or API key into readable groups for display or documentation.
  • Splitting serial numbers: divide long serial numbers into standard-length segments for labels or reports.
  • Preparing fixed-width data: split a string to match a fixed-width file format's field lengths, common in legacy data interchange formats.
  • Testing and QA: quickly generate chunked test data for a system expecting fixed-length input segments.
  • Formatting long identifiers: break up long numeric IDs into readable groups, similar to phone number formatting.

Tips for Best Results

  • Remove any existing whitespace or separators from your string first if you want a clean, purely fixed-width split.
  • Combine with the Delim Converter afterward if you want to join the chunks back together with a specific separator like a dash or colon.
  • Double-check the final (shorter) chunk when your data length isn't a clean multiple of your chunk size, since it will naturally be smaller than the rest.

Related Terminology

Fixed-width formatting divides text into equal-length segments, as opposed to delimiter-based splitting, which divides text wherever a specific character (like a comma) appears. This is common in legacy data formats and certain identifier standards where each segment has a defined, consistent length, such as fixed-width flat files used in older mainframe and banking systems.

Important Considerations

If the total length of your string isn't evenly divisible by the chunk size, the final chunk will simply contain the remaining characters and be shorter than the rest — this is expected behavior, not an error. The tool splits based purely on character count and doesn't account for word boundaries, so it may split in the middle of a word if your input contains readable text rather than a continuous code or ID.

Related Tools

Need to split on a delimiter like a comma instead of a fixed width? Use the Delim Converter. To add sequential numbers to each resulting chunk, try the Line Number Stamper afterward. To rejoin chunks with a custom separator, the Delim Converter can also wrap and join lines back together.

Frequently Asked Questions

How do I split a string into equal-sized parts?

Paste your text, set the desired chunk size, and click Split — the string is divided into fixed-width segments, one per line.

What happens if my text doesn't divide evenly by the chunk size?

The final chunk will simply be shorter, containing whatever characters remain after the last full-size chunk — this is normal, expected behavior.

Does it split on word boundaries, or purely by character count?

Purely by character count — it doesn't check for word boundaries, so if your input is readable text rather than a code or hash, it may split in the middle of a word.

Alphabetical Sorter
Sort lines A→Z, Z→A, or by line length.
Escape / Unescape
Escape to HTML entities or JSON strings, or unescape back.
Line Number Stamper
Add incremental line numbers (001, 002, 003...) to each row.
Start:
SQL Value Generator
Wrap each line in quotes and join → ('a','b','c')
Date Range Generator
Generate a list of dates between two dates with custom intervals.
0 dates generated
Epoch Converter
Convert Unix timestamps to human-readable dates and vice versa.
SQL Formatter
Beautify or minify SQL queries with proper indentation.
CASE Statement Builder
Build SQL CASE WHEN statements one condition at a time — no special syntax to remember.
Query Sanitizer
Strip comments, SET statements, and trailing semicolons from SQL.
📌 Sticky Notes
Organize your thoughts, tasks, and ideas with drag-and-drop sticky notes.
Sticky Notes Organize your thoughts Saved locally
📌
Click "+ Add Note" to create your first sticky note.
Text Comparator
Compare two texts and see the differences highlighted.
Click "Compare" to see differences highlighted.
Ready to compare
Text Statistics
Get detailed statistics about your text: words, characters, paragraphs, sentences, and more.
0
📝 Words
0
🔤 Characters
0
📏 Characters (no spaces)
0
📄 Sentences
0
📑 Paragraphs
0
📃 Lines
0
📊 Avg word length
0
📊 Avg sentence length
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.
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.
Unit Converter
Convert data sizes and time durations. Pick a category, enter a value, and see it converted to every other unit.
Time Till
Track how many days are left until any number of dates — deadlines, launches, deliveries. Optionally count business days only.
⏱ Pomodoro / Focus Timer
Classic work/break focus timer. Runs entirely in this tab — leaving or refreshing the page resets it.
Focus Session
25:00
0
QR Code Generator
Turn any text or URL into a scannable QR code — generated 100% in your browser, nothing sent anywhere.
Type something to generate a QR code.
🧩 Flow Planner
Sketch out flows and diagrams with shapes and connectors. Double-click a shape to rename it, drag to move, and export the whole board as a PNG.
Drag from a shape's blue dot to another shape to connect them. Double-click a shape to type inside it.
🗄️ ER Diagram Designer
Sketch database schemas visually — add tables, define columns with types and keys, and draw relationships between them. Export the finished diagram as a PNG.
Drag a column's dot onto another column to relate them. Click a table's header to drag it.
Free • Browser-Based • No Sign-Up

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.

Core Tools

🔀
LIVE
Delim Converter
Convert comma, pipe, tab, or custom-delimited lists in seconds — perfect for turning spreadsheet columns into SQL IN-clauses, CSV rows, or JSON-ready arrays.
Open tool
🔤
LIVE
Case Converter
Instantly convert text to UPPERCASE, lowercase, Title Case, or Sentence case — handy for cleaning up names, headlines, and inconsistent data entry.
Open tool
🧹
LIVE
Duplicate Remover
Remove duplicate lines from any list while keeping the rest in order, then sort alphabetically or by length — great for cleaning email lists, tags, or CSV exports.
Open tool
🔢
LIVE
Number Extractor
Pull every integer, decimal, and percentage out of messy text or pasted reports — useful for quickly isolating prices, IDs, and metrics from unstructured data.
Open tool
🔡
LIVE
Character Counter
Get an instant character, word, and line count, with and without spaces — useful for meeting character limits on titles, meta descriptions, and forms.
Open tool
🔁
LIVE
Text Reverser
Reverse a string, flip the order of words, or reverse the order of lines — a quick utility for palindromes, obfuscation, or reordering data.
Open tool
🔍
LIVE
Find & Replace
Run multiple find-and-replace operations on a block of text in one pass, with optional case-sensitive and regex matching — faster than replacing strings one at a time.
Open tool
🏷️
LIVE
Prefix / Suffix Stamper
Add the same prefix and/or suffix to every line of a list — ideal for wrapping values in quotes or brackets, or building URL lists and SQL fragments.
Open tool
✂️
LIVE
Whitespace Trimmer
Trim leading/trailing spaces, collapse repeated whitespace, or strip all whitespace entirely — fixes copy-paste formatting issues from spreadsheets and PDFs.
Open tool
📊
LIVE
Column Extractor
Pull specific columns out of CSV or tab-separated data by column number — no spreadsheet software required.
Open tool
📏
LIVE
Split by Chunk
Break a long string into fixed-width chunks — useful for splitting serial numbers, hashes, or IDs into readable segments.
Open tool
🔠
LIVE
Alphabetical Sorter
Sort any list alphabetically (A→Z or Z→A) or by line length — a quick way to organize names, tags, or file lists.
Open tool
🔐
LIVE
Escape / Unescape
Convert text to HTML entities or JSON-safe strings, or reverse the process — essential for safely embedding user text in HTML or JSON payloads.
Open tool
#️⃣
LIVE
Line Number Stamper
Add sequential line numbers to any list, starting from any number — useful for numbered references, changelogs, and IDs.
Open tool
🧮
LIVE
SQL Value Generator
Wrap a list of values in quotes and parentheses to build a ready-to-paste SQL IN (...) clause — skip manually quoting hundreds of values.
Open tool
🔄
LIVE
CSV ⇄ JSON Converter
Convert CSV data to JSON, or JSON arrays back to CSV, with proper handling of quoted fields and embedded commas — no spreadsheet or script required.
Open tool

SQL Tools