Free utilities

Text Processing Tool: Clean, Normalize, and Sort Lists for Import

The text processor helps you clean up lists, change case, replace separators, remove extra lines, and calculate text length. It is useful for preparing keyword lists, CSV snippets, and drafts before uploading them to other services.

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Prepare keywords, URLs, headings, CSV fragments, and other text lists for import or verification. The tool removes extra characters and lines, changes case, replaces delimiters, sorts data, and performs multiple operations in a single pass.

In what order to process data

The result depends not only on the selected actions but also on their order. For a plain line‑by‑line list, this order works well:

replace delimiter with line break;
trim spaces and tabs from line edges;
remove empty lines;
if needed, convert to uniform case;
remove duplicates;
sort the result only if the original order is not important.

For example, strings like example, Example and example look almost identical, but before trimming and normalizing case they may be treated as three different values.

What each operation does and when caution is needed

Operation	Practical use	What to check
Remove BOM	fix invisible character before the first header or value	do not remove BOM from UTF‑16 files without understanding their encoding
Replace delimiter with line break	turn a comma‑ or semicolon‑separated list into line‑by‑line	simple replacement does not handle quoted CSV properly
Remove empty lines	clean lists before import	an empty line sometimes serves as a semantic separator between blocks
Remove line breaks	combine text into a single line	paragraphs and element boundaries will be lost
Remove extra spaces	fix repeated spaces inside text	in code and formatted data, spaces may be significant
Trim line edges	remove accidental spaces and tabs	usually safe for lists, but not for fragments with fixed formatting
Change case	unify keywords, tags, or codes	URLs, identifiers, passwords, and some values are case‑sensitive
Remove lines by condition	exclude service or unwanted elements	check that the search fragment does not appear inside useful lines
Remove duplicates	obtain a list of unique strings	the tool matches exact strings, not the same meaning
Sort	convenient manual review and comparison	the original sequence will not be preserved after sorting

What is BOM and why it hinders import

BOM is a service marker for encoding at the beginning of a text stream. In UTF‑8 it may appear as an invisible character before the first word. Because of this, the import system may interpret the first header as URL instead of URL, fail to recognize the column name, or add a strange symbol at the start of a line.

Removing UTF‑8 BOM is useful when the receiving system does not expect it. But BOM is also used to determine byte order in UTF‑16 and UTF‑32. Therefore, you should not mechanically remove it from any file: first understand the original encoding.

Why comma replacement is not CSV parsing

CSV may contain the delimiter inside a quoted value:

"New York, NY",1200

If you simply replace every comma with a line break, that single value will be incorrectly split into parts. This handler works well for simple lists and fragments where the delimiter definitely does not occur inside the data. For complex CSV files with quotes, escaping, and multiple columns, you need a full‑featured CSV parser.

Caution with URLs and identifiers

Do not convert your entire URL list to lowercase without checking. In a web address, the scheme and domain are case‑insensitive, but the path and parameters on a specific server may differ:

https://example.com/Catalog

https://example.com/catalog

These addresses may lead to different pages. Similarly, do not change the case of tokens, SKUs, hashes, API keys, promo codes, or identifiers unless you know the system rules.

Length counting: characters, bytes, and emojis

Different systems may count the length of the same string differently. A regular letter is usually counted as one character, but emojis, combining marks, and some Unicode sequences can occupy multiple code units. So the result from an online counter may not match the limit of your particular CMS, ad platform, or database.

For titles, descriptions, and ad copy, check not only the character count but also how the string actually displays in your target system.

Practical scenarios

Preparing a keyword list

Paste your query list, trim edges and remove empty lines, unify the case, and remove duplicates. Sort only after cleaning if the export order does not matter.

Converting a list from a table

If values were copied with tabs or another simple delimiter, replace that delimiter with a line break. Then manually check several rows to ensure that such a character did not appear inside any value.

Cleaning a URL list

Remove empty lines and trim edges, but do not change the case of paths and parameters. After cleaning, it is useful to run the list through the duplicate removal tool.

Excluding unwanted lines

The function to remove lines by a substring is suitable, for example, for excluding a service domain, a parameter, or a word. First test the condition on a small copy: searching for a short fragment may remove more lines than you expect.

How not to lose your original data

Before batch processing, save the original. This is especially important when removing lines, merging paragraphs, sorting, or changing case – such operations cannot be reliably undone after you copy the result over the original list.

Frequently asked questions

Can I process a real CSV file?

This tool works well for plain text and simple CSV fragments. If your file has multiple columns, quotes, line breaks inside cells, or escaped delimiters, use a program that parses CSV according to its official rules.

Why do similar strings remain after removing duplicates?

They may differ in case, spaces, non‑breaking spaces, or other invisible characters. First perform the appropriate normalisation, then repeat the duplicate removal.

Is it safe to convert everything to lowercase?

For ordinary keywords – often yes. For URLs, codes, identifiers, passwords, and program code – no: case can change the meaning.

Will the operation remove all invisible Unicode characters?

Not necessarily. BOM removal targets a specific marker, not all non‑breaking spaces, zero‑width characters, and other invisible signs.

Related tools: Duplicate Remover; Diffchecker; Keyword Combinator.

Official resources

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