Markdown Remover
Remove Markdown formatting and turn headings, lists, links, tables, and code blocks into plain text.
What it does
Markdown is easy to read in source form, but the syntax can get in the way when you need plain text for tickets, prompts, emails, labels, or systems that do not render Markdown.
This remover keeps the visible words and strips common Markdown structure such as heading markers, emphasis, blockquotes, list bullets, task boxes, table pipes, links, images, code fences, and inline code backticks.
Common uses
- Clean Markdown copied from README files, docs, chat exports, issue templates, or generated notes.
- Turn Markdown-formatted model output into plain text before pasting it into a form or legacy editor.
- Keep link URLs when the destination matters, or leave them off when you only want readable link labels.
- Use the output with the word counter or token counter when syntax would make counts noisy.
Watch outs
- Markdown has many dialects. This tool targets common GitHub-style syntax rather than every custom extension.
- Code block contents are preserved, but the fence markers are removed.
- Nested links, deeply nested tables, and unusual reference syntax may still need manual cleanup.
Privacy
Markdown cleanup runs in your browser. Pasted text is not sent to Crypto Lambda.
FAQ
Does this render Markdown first?
No. It removes common Markdown syntax directly and returns readable plain text rather than rendered HTML.
Can it keep link destinations?
Yes. Turn on Keep link URLs to append each inline link URL beside its link text.
Are code blocks removed?
No. Fence markers are removed, but the code or command text inside the block is kept.
Related tools
Markdown to PDF
Convert Markdown to PDF or HTML in a fast side-by-side editor with syntax highlighting, live preview, and browser-side downloads.
HTML Tag Remover
Turn HTML into plain text in your browser by removing tags, dropping scripts and styles, decoding entities, and preserving readable spacing.
Word Counter
Count words, characters, and top word frequencies in browser-side text using Intl.Segmenter for language-aware boundaries.