How to use
Run a clean first pass
- Paste markdown into the input area.
- Run the cleaner to normalize blank lines, trailing spaces, and spacing around blocks.
- Copy the cleaned output back into your docs, notes, or README.
Markdown Cleaner
Strip whitespace, kill invisible chars, convert smart quotes — fenced code stays untouched.
Input
Paste raw markdown. Clean once. Review side-by-side.
Paste a draft to start.
Output
Review the clean copy and send it back.
0 chars
0 lines
0 blank runs changed
0 trailing spaces removed
0 invisible chars stripped
0 smart quotes converted
How to use
Paste rough markdown, clean spacing once, then compare the output before copying it back into your editor.
Examples: tidy ChatGPT exports, normalize meeting notes, or clean README drafts while keeping fenced code blocks intact.
FAQ: This cleaner runs locally and focuses on whitespace, blank lines, and trailing spaces. It does not rewrite wording or restructure your markdown document.
Quick guide
Use cases, answers, and nearby tools
Compact below-tool notes that help first-run users and repeated visitors move faster without changing the main interface.
Chinese search: Markdown 清理、Markdown 格式整理、Markdown 空白清理、移除隱形字元、去除零寬字元、彎引號轉直引號、整理 ChatGPT 輸出
Examples
Real jobs this page helps with
- README cleanupNormalize extra blank lines and spacing before committing docs updates.
- Chat-to-doc handoffTidy markdown copied from chat or issue threads before dropping it into a wiki.
FAQ
What people usually want to know
- Does it rewrite my wording?
- No. It cleans whitespace, strips invisible characters, and converts curly quotes to straight ones — but it never rewrites your prose, restructures headings, or reflows paragraphs.
- Will fenced code blocks stay intact?
- Yes. Anything inside ``` fences passes through untouched, including indentation, smart quotes that belong in test fixtures, and zero-width characters used in unicode demos.
- What invisible characters does it strip?
- Zero-width space (U+200B), zero-width non-joiner (U+200C), zero-width joiner (U+200D), word joiner (U+2060), and BOM/ZWNBSP (U+FEFF). Non-breaking spaces (U+00A0) are normalized to regular spaces. These come from copy-paste of PDFs, Word documents, and AI chat output and silently break diffs, search, and word counts.