Text Cleanup Toolkit

How this cleanup workflow works

The toolkit applies selected operations from top to bottom, then shows one final output panel with before/after character counts and the exact operations applied. The expanded workflow now covers line-edge cleanup, whitespace normalization, list numbering and bullet-marker cleanup, accent and punctuation cleanup, repeated-punctuation cleanup, zero-width character removal, smart-punctuation normalization, emoji removal, case conversion for draft handoffs, HTML tag stripping, Markdown-to-plain-text conversion, URL/email/domain/hashtag/social-handle/number/date/time/currency/measurement/full-contact-line/full-schedule-line/full-money-line/full-measurement-line/word/sentence/bullet-line/numbered-line/TODO-line/URL-line/error-warning-line/question-line/decision-line/owner-line/checkbox-task-line/agenda-line/risk-line/priority-line/deadline-line/acceptance-criteria-line/ticket-reference-line/version-line/file-path-line/Markdown-link/Markdown-image-alt/Markdown-heading/Markdown-code-block/Markdown-table/HTML-heading/HTML-link/HTML-image-alt/quote extraction, line filtering by chosen text, email-header and quoted-reply line removal, timestamp-prefix, speaker-label, and code-comment-marker removal, email/URL/phone/handle/currency/number redaction, duplicate-paragraph removal, comma/semicolon/pipe/tab list splitting, comma/semicolon/pipe/tab line-list joining, line numbering, line reversing, word sorting, duplicate-word removal, word reversing, line wrapping, reusable prefixes or suffixes, deduplication, sorting, and find/replace. Nothing is stored and the cleanup runs client-side in your browser, so pasted text is not uploaded to ClearUtils servers.

Start with line edges, then check line count if needed

If messy pasted text only needs line-edge cleanup, start with Trim Lines. If copied spreadsheet rows or logs contain tab characters, run Remove Tabs. If it still has too many spaces, move to Remove Extra Spaces. If paragraph padding or mixed blank-space noise is the problem, switch to Normalize Whitespace. Use Remove Line Breaks to join broken copy or Add Line Breaks to wrap long paragraphs back into readable lines. If each row matters, use the related Line Counter page before or after cleanup, then return to Remove Empty Lines, Sort Lines, or Remove Duplicate Lines.

Example cleanup chain

For copied spreadsheet rows or keyword lists: trim line edges first, remove tabs when present, remove extra spaces, remove empty lines, deduplicate repeated rows with Remove Duplicate Lines, then sort the final list with Sort Lines Alphabetically. Use Line Counter separately when you need to verify the original or cleaned row count. For broken paragraphs: remove extra spaces first, then remove line breaks so the paragraph is readable.

Extract or reshape list items in the same workflow

For editorial, support, or checklist handoffs, use case-conversion steps after whitespace cleanup to turn rough notes into uppercase labels, lowercase normalized copy, sentence case, or headline-style title case. Strip bullet markers when copied tasks include mixed dashes, checkboxes, bullets, or numbered prefixes, collapse repeated punctuation when drafts contain noisy emphatic marks, remove zero-width characters when pasted copy has invisible breakpoints, normalize smart punctuation for plain-text systems, and remove emoji symbols when the destination needs business-safe copy. If reviewers need stable references, add line numbers after deduplicating rows. If a pasted list is newest-first, reverse the cleaned lines; if a draft repeats keywords, sort words, remove duplicate words, or reverse words before copying a compact review list.

When a pasted note mixes prose with reusable values, run extraction steps in the toolkit instead of opening several pages: pull links with Extract URLs, addresses with Extract Emails, domains with Extract Domains, hashtags with Extract Hashtags, or full rows that contain emails, phone numbers, currency amounts, dates, times, or measurements before redaction; pull words with Extract Words, sentences with Extract Sentences, bullet-only action items, or numbered checklist items. Use keep-lines-containing or remove-lines-containing with the Find field when copied notes, changelogs, support threads, or logs need a focused subset before redaction or reshaping. For quick support, meeting, interview, and release reviews, use TODO-line extraction, URL-line extraction, error/warning-line extraction, question-line extraction, decision-line extraction, owner-line extraction, checkbox task extraction, agenda-line extraction, risk-line extraction, priority-line extraction, deadline-line extraction, acceptance-criteria extraction, ticket-reference extraction, version-line extraction, and file-path extraction to inventory action items, linked references, failures, open questions, approved or blocked decisions, handoff owners, checkbox tasks, meeting topics, planning risks, priority calls, due dates, and acceptance criteria without writing a custom filter first. Remove checkbox markers, status prefixes, or bracketed prefixes before sharing cleaned task lists. Remove email header lines and quoted reply lines before publishing or summarizing reply threads, then remove timestamp prefixes, speaker labels, and code comment markers when log, transcript, code-review, or commented-source rows need cleaner human-readable text. Markdown drafts can also be reviewed for link targets, image alt text, headings, fenced code blocks, table rows, and quoted lines without rendering untrusted markup or executing code. HTML snippets can be stripped into plain text, scanned for heading structure, checked for anchor text and href pairs, or reviewed for image alt text and source paths before the output moves into cleanup, counting, or publishing handoffs. The workflow can also extract social handles, dates, times, currency amounts, measurements, and general numeric tokens from campaign notes, inventory copy, editorial briefs, and product snippets. Comma-, semicolon-, pipe-, or tab-separated notes can be split into clean lines, and line lists can be joined back into comma-, semicolon-, pipe-, or tab-separated copy for spreadsheets, CMS fields, docs, and prompts.

Redact private details before sharing examples

Use the redaction steps when you need to share a support note, campaign brief, product example, or pasted log without exposing emails, URLs, phone numbers, social handles, prices, or numeric values. Redaction uses visible placeholders such as [email], [url], [phone], [handle], [amount], and [number] so reviewers can still understand the shape of the text without seeing the original details.

Handle HTML and Markdown before or after cleanup

If the pasted text still includes HTML, use the toolkit's Remove HTML tags step for a fast plain-text cleanup, extract HTML headings for outline QA, extract HTML links for anchor/href review, extract HTML image alt text for accessibility checks, open HTML to Plain Text for a dedicated converter page, or use HTML to Markdown when the output should keep Markdown-style structure. For Markdown drafts, use Markdown to plain text when formatting should be flattened, or extract Markdown headings, code blocks, tables, links, image alt text, and quoted lines when reviewers need a source inventory before editing.

Individual tools still exist

Use the standalone pages when you only need one focused task or want a dedicated SEO-friendly tool page. Use this toolkit when you want to combine several cleanup steps without opening separate tools one by one.

Quick FAQ

Can I use it for messy CSV or list imports? Yes. It is built for pasted text, copied lists, drafts, and other plain-text cleanup jobs.

Does anything leave my browser? No. The workflow runs locally in your session, which keeps the tool simple and low-risk for pasted cleanup text.