The tool
What the DeepSeek LinkedIn rewriter does
The DeepSeek LinkedIn rewriter takes a draft you already have, a DeepSeek answer, a half-finished note, an old post you want to run again, and gives it back rewritten as a LinkedIn post. Your text goes to our AI server, so this is not a browser tool. You get 5 free rewrites per rolling 24 hours, with 1 to 12,000 characters per run and no account.
What comes back is the post and nothing else. The rewriter is instructed to return only the rewritten text, with no preamble, no commentary, no quotation marks and no markdown fence, and to preserve the original meaning and factual claims while it works. That matters in practice: you can select the whole result and paste it into the LinkedIn composer without deleting a line of chat first.
How to
How to rewrite a LinkedIn post in three steps
Three boxes and a button. The second box is the one most people skip, and it is the one that changes the result.
- Step 1
- Paste the draft. A LinkedIn post tops out at 3,000 characters, so a full-length post is well inside the 12,000 character run limit.
- Step 2
- Write an instruction, up to 300 characters. For example: keep the first line under 140 characters, cut it to 200 words, keep the numbers, drop the hashtags.
- Step 3
- Run it, then read the first line on its own. If that line would not stop your own scroll, change the instruction and spend a second run rather than accepting the first answer.
The control
The instruction box does the real work
Under the paste area there is a second field that takes up to 300 characters of plain direction. It is appended to the rewriting instruction before your text is sent, so it is not a search filter or a tone dropdown, it is you telling the rewriter what to do. Most tools on this term give you a style menu. This gives you a sentence.
- Length
- Keep it under 1,300 characters. Or under 200 words. LinkedIn allows 3,000, but a post that fits without expanding reads faster.
- The opening
- Leave the first line exactly as it is. Useful when the hook is the one part you are happy with.
- What to keep
- Keep every number and every name. Worth saying out loud on anything with figures in it.
- What to drop
- No hashtags, no emoji, no closing question. Rewriters add all three by default.
- Structure
- One idea per line, no bullet points. LinkedIn renders short lines well and long paragraphs badly.
Worth knowing
LinkedIn's own rewrite button is not there
If you went looking for Rewrite with AI inside the LinkedIn composer and could not find it, you are not imagining it. LinkedIn's own help page on its AI writing tool now reads: "LinkedIn's AI-powered writing tool is not available at this time." It adds that new tooling for post writing is coming.
So the built-in option is currently a gap, which is most of why this search term exists. Nothing here is affiliated with LinkedIn, and this page is not a replacement for a feature we have no connection to. It is a paste box that rewrites text.
The constraints
The numbers that shape a LinkedIn post
Two figures do most of the work, and both came off tool pages published by people who write for the platform. A post can run up to 3,000 characters. And on mobile the post is cut off at roughly 140 characters, or about two lines, behind a more link. Everything after that point is read only by people who already decided to tap.
One more, offered as a rule of thumb rather than a law: one of those pages puts the comfortable range at 150 to 300 words, roughly 900 to 1,500 characters. We have no engagement data of our own and are not going to pretend otherwise. Use it as a target for the instruction box, not as a promise about performance.
Before you post
What to check in the rewritten post
The rewriter is told to preserve your meaning and your factual claims, and it usually does. It is still a model rewriting prose, so there are three things worth two seconds of your attention before the post goes live.
Hashtags, mentions and links. These can be rephrased along with everything else, so read them rather than assuming they came through untouched. Numbers and names, for the same reason. And the first line, because a rewrite that improves the middle of a post can flatten the opening. If any of the three matter, pin them in the instruction field on the next run.
The honest answer
Will the rewritten post sound like a human wrote it?
It will read better than a raw DeepSeek draft, because a raw draft carries the tells: the three-part opener, the balanced closing question, the sentences that are all the same length. It will not sound like you unless you tell it to. There is no profile reading and no style model here, just the paste and your instruction, so the way to get your voice into it is to write the instruction in your voice and to edit the result.
On the question everyone actually asks: we make no claim about AI detectors. We do not know what any detector will say about a rewritten post, we are not affiliated with any of them, and nobody who promises you a verdict on somebody else's tool is in a position to deliver it. We also have no visibility into whether LinkedIn treats AI-assisted posts differently, so we are not going to reassure you about that either.
In practice
Who uses the DeepSeek LinkedIn rewriter
People who already have the thing they want to say and do not want to stare at it. A founder with a DeepSeek draft that is technically correct and completely flat. A recruiter turning a job description into a post. Anyone with a good paragraph buried in a long email.
Five runs per rolling 24 hours fits that pattern: a first pass, a couple of instruction changes, done. It is not enough to rewrite a month of content in one sitting, and it is not meant to be.