Markdown to LinkedIn Post Converter

The editor above is a version of our LinkedIn post formatter that understands Markdown on the way in. It needs no account and keeps your text on your device.

1. Paste the Markdown or open a file. Copy the raw answer from your AI assistant, or press Open .md file and pick a Markdown file from your computer. The editor converts headings, emphasis, lists, quotes and tables as the text lands.
2. Check the preview and adjust. The preview beside the editor draws the post the way the LinkedIn feed would, including where the see more link is likely to fall. Edit freely: the full toolbar is there for bold, italic, lists and symbols.
3. Copy and post. Press Copy and paste the result into LinkedIn. If the text is going somewhere styled letters do not belong, press Plain text first.

The example already in the editor shows a typical AI draft after conversion. Replace it with your own and the preview follows as you type.

Markdown is a lightweight way of marking structure in ordinary text. It was designed so that a document stays readable even when nothing interprets it: a line starting with a hash sign is clearly a heading, a word wrapped in asterisks is clearly meant to stand out. That property made it the default notation for README files, developer documentation, forums, note apps and, more recently, the answers of large language models.

Chat assistants such as ChatGPT, Claude and Gemini generally write their replies in Markdown and let the chat window render them. Coding assistants and agent harnesses go further: they write commit messages, pull request descriptions, changelogs and project notes as Markdown files on disk. When you ask one of them to draft a launch announcement, the draft arrives in the same notation, often with a heading, a few bold phrases, a numbered list and sometimes a table or a horizontal rule.

There are two ways that notation reaches you. If you select the rendered answer and copy it, you usually get rich text, and the formatting travels as HTML. If you use the copy button many assistants offer, or open a file the tool saved, you get the raw Markdown with every symbol intact. This page is built for the second case.

LinkedIn posts are plain text. As far as anyone outside LinkedIn can observe, the post composer does not interpret Markdown at all, and there is no setting that turns it on. Paste a draft that says **Ship small** and your readers see two asterisks on each side of the words. A heading written as ## Three lessons keeps its hash signs, and a table turns into rows of vertical bars and dashes.

The symbols do more damage than they appear to. They make the post look unedited, which readers tend to notice in the first line, and that line decides whether anyone opens the rest. They also cost characters against the post limit, which LinkedIn sets at 3,000. A long AI draft can carry well over a hundred characters of pure notation.

The usual workaround is to delete the symbols by hand and add emphasis with a separate tool. That works for a short post but gets tedious with lists, tables and links, and it is easy to miss a stray underscore. The converter does the whole job in one pass and leaves you with text you can still edit. LinkedIn may change how its composer handles pasted text in future, so check the live post once after publishing.

The table lists every element the converter handles and what you get in each output. Styled output uses Unicode letters that look bold, italic or monospaced; plain output keeps only the words.

Backslash escapes are honoured, so \* gives a literal asterisk instead of starting italics. Emoji, hashtags and addresses pass through untouched, and blank lines are tidied so the post never starts or ends with empty space.

The editor starts with the styled version because it keeps the intent of the draft. A bold heading still reads as a heading in the feed, and a bold phrase still stands out. These styles come from the mathematical alphabets in Unicode, the same characters the bold text generator and the Unicode fonts page produce, so they survive the paste into LinkedIn.

They also carry the same costs. A styled word is a different sequence of characters from the plain word, so search on LinkedIn and on search engines treats it as unrelated text. Screen readers handle the letters unevenly, from reading them normally to spelling out long character names. Most styled letters also count as two units towards the character limit, which the character counter shows as the styled weight.

Press Plain text when any of that matters more than the look:

• Other networks and fields. Some sites, forms and applicant tracking systems may display styled letters as boxes or reject them, so plain letters are the safe choice for anything that is not a LinkedIn post.
• Accessibility. If many of your readers rely on assistive software, keep emphasis to a few words or drop it entirely.
• Search. Names, job titles, skills and anything you want people to find should stay plain.

You can also mix the two: convert to plain, then bold one phrase again with the toolbar. If you already have styled text from elsewhere, the plain text converter does the same reverse step on its own page.

Press Open .md file above the editor and choose a file ending in .md, .markdown or .txt. Your browser reads the file locally; it is never uploaded. The text is converted with the styled output and replaces what is in the editor. A metadata block at the very top of the file, the lines between two --- markers that note apps and site generators add for titles and tags, is left out of the post.

If the editor held text you had written, that text is saved to Drafts first, with a short message to say so, and Undo also brings it back. The example post the page starts with is simply replaced. Files over 1 MB are refused with an error and the editor stays as it was, since a post that size would be far beyond the post limit anyway.

This is handy when a coding assistant or agent writes its output to disk. A release summary in a file such as CHANGELOG.md or a draft saved by a writing tool can go straight into the editor without opening it in another app first. When the file holds several sections, delete the parts you do not want after it loads, and watch the post preview to see how much fits above the fold.

The converter aims to give you a clean post, not a perfect copy of a rendered document, because LinkedIn simply has fewer ways to show structure.

• Tables flatten. Each row becomes one line. Wide tables with many columns turn into long lines, so a short list often reads better; rewrite the table if it carries the main point.
• Code blocks stay plain text. They keep their line breaks and indentation, but there is no grey box or syntax colour in a post. Long snippets are usually better shared as a link.
• Images become alt text. The image itself cannot travel inside text. Add the picture to the post with LinkedIn’s own media button.
• Links stay visible. A post cannot hide an address behind a word, so the address appears in brackets after the text.
• Uncommon syntax passes through. Definition lists, maths notation and extensions specific to one tool are left as written, and you can tidy them by hand.
• Rich-text pastes depend on what was copied. A copied rendered answer usually brings formatted text plus a plain version. If the plain version still shows Markdown symbols, this page converts it; if not, the editor keeps the bold and lists the formatted text carries.

Read the preview before you copy. If a symbol slipped through, remove it in the editor; it is ordinary text there.