⚙️ Settings
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 for | Breaks a long string into fixed-width chunks of a set character length. |
|---|---|
| Who it's for | Developers and QA engineers formatting hashes, serial numbers, or IDs into readable, evenly-sized groups. |
| When to use it | When a long string needs to be split into consistent-length segments for display or a fixed-width data format. |
| Why it's needed | Manually counting characters and inserting breaks at exact intervals is tedious and easy to get wrong on a long string. |
| Best way to use it | Remove 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
- Paste your text into the Input box.
- Set the chunk size — the number of characters per segment.
- Click Split to break the text into fixed-width chunks, each on its own line.
- 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.
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;
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 (...))
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;
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;
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;
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';
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());
#FACC15
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hsl(46, 96%, 53%)
hsv(46, 92%, 98%)
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