Clean text online by removing duplicate lines, empty lines, extra spaces, punctuation, accents, HTML tags, and unwanted lines from copied or exported content.
Clean pasted content, spreadsheet exports, keyword lists, logs, web copy, and messy text with fast browser-based cleanup tools.
Use the cleaning category when the text is structurally messy before you do anything else. In most workflows, cleanup comes before analysis, formatting, or conversion.
This hub focuses on text cleanup: remove duplicate lines, blank lines, extra spaces, punctuation, accents, HTML tags, matching lines, and other copied-text noise. It is useful before spreadsheet imports, SEO audits, content publishing, database updates, and bulk list work.
Removes repeated lines while keeping the first unique occurrence, ideal for keywords, emails, URLs, logs, and exports.
Featured ToolDeletes blank and whitespace-only lines before sorting, importing, or pasting into tools that dislike empty rows.
Featured ToolCollapses repeated spaces and trims copied text from PDFs, websites, and spreadsheets.
Featured ToolRemoves HTML tags from copied markup so you can keep the readable text.
Deduplicate email lists, lead lists, and customer exports
Clean up copy-pasted text from PDFs or web pages
Clean up text copy-pasted from PDFs with irregular spacing
Clean indented text before importing to a database
Remove comment lines starting with '#' from config files
Extract values from 'key: value' pairs by removing 'key: '
Normalize names for a database that uses ASCII encoding
Preprocess text for natural language processing (NLP)
Extract plain text from a web page's HTML source
The remove duplicate lines tool is the main money page in this category because duplicate URLs, keywords, emails, SKUs, IDs, and copied list items are common cleanup problems. Use it before sorting, counting, importing, or sharing a list.
Copied content often brings hidden whitespace, blank rows, HTML tags, repeated spaces, odd punctuation, and inconsistent formatting. The cleanup tools normalize that text so it can be reused in a CMS, spreadsheet, document, code editor, or email workflow.
Clean text before analyzing frequency, converting case, formatting structured data, or importing into another system. Removing noise early reduces mistakes later and makes the rest of the workflow easier to verify.
Use the cleaning category when the text is structurally messy before you do anything else. In most workflows, cleanup comes before analysis, formatting, or conversion.
Start by removing empty lines and extra spaces, then remove duplicates or unwanted patterns. If the source was a webpage or CMS field, strip HTML before doing other edits.
Yes. The remove duplicate lines tool keeps the first occurrence and removes later repeats, which preserves the original list order.
Yes. They work well with line-based exports, copied columns, keyword lists, URLs, IDs, SKUs, emails, and other plain text data copied from spreadsheets.
Usually yes. Cleanup first removes noise that can affect word counts, duplicate checks, frequency analysis, formatting, and imports.