DeepSeek LinkedIn rewriter

The step

What the DeepSeek LinkedIn rewriter does in your workflow

The DeepSeek LinkedIn rewriter sits between the draft and the composer. You already have the raw material: a DeepSeek answer, a chunk of a document, a comment you wrote that turned out to be the post. This turns it into something you can publish, and it returns the post on its own, with no preamble, no quotation marks and no markdown fence wrapped around it. That detail is what makes it a workflow step rather than another chat window: the whole result is the thing you paste.

It runs on our AI server, which sets the shape of the step. Five rewrites per rolling 24 hours, 1 to 12,000 characters each, no account, and your text leaves your machine to be processed. Plan around all four of those.

How to

How to rewrite a LinkedIn post in three steps

The sequence matters more than it looks. Writing the instruction before the first run, rather than after a disappointing one, usually saves you a run.

Step 1

Paste the draft. LinkedIn caps a post at 3,000 characters, so anything post-shaped sits comfortably inside the 12,000 character run limit with room for a long source document.

Step 2

Write the instruction, up to 300 characters. Decide length, what to protect and what to remove before you run, not after.

Step 3

Read the first line in isolation, then the numbers, then the links. Fix the instruction and run again if any of the three failed, rather than editing the output by hand.

Planning

Five rewrites a day, and how to spend them

The allowance rolls rather than resetting at midnight, so a run returns to you 24 hours after you used it. For a single post that is plenty. For a batch it needs thinking about.

Run one

The honest first attempt with a real instruction. Not a bare paste, because a bare paste spends a run to tell you something you could have predicted.

Run two

The correction. One change at a time, so you can tell which part of the instruction did the work.

Runs three to five

Variations, or three more posts. A week of content does not fit in a day here, and the rolling window means tomorrow's five arrive while today's are still returning.

If you need more

There is no paid tier to buy and no API. The limit is the limit.

The instruction field

Instruction lines that do a specific job

The field under the paste box takes 300 characters and is added to the rewriting instruction before your draft is sent. Vague direction gets vague results, so these are worth copying verbatim.

Protect the hook

Leave the first line exactly as written and rewrite everything after it.

Hit a length

Cut to under 1,200 characters. Concrete beats shorter, which a model will interpret generously.

Strip the tells

No hashtags, no emoji, no closing question, no opener about today's landscape.

Lock the facts

Keep every figure, date and product name exactly as written.

Set the shape

Short paragraphs, one idea per line, no bullet list.

The pipeline

From the DeepSeek chat to the LinkedIn composer

Copy out of DeepSeek, rewrite here, paste into LinkedIn. The one thing worth adding to that path is a check for invisible characters, because text copied out of a chat interface can carry zero-width characters and no-break spaces that came from the markdown rendering rather than from anything you typed.

They will not break a LinkedIn post the way they break a YAML file, but they do occupy characters against the 3,000 limit and they can make a find-and-replace miss. The watermark and zero-width routes on this site run that check in your browser with no run limit, so it costs nothing from your five.

Checklist

What to check before the post goes live

The rewriter is instructed to preserve your meaning and factual claims, and mostly it does. The checks below are not for catching a broken tool, they are for catching the small things a rewrite moves.

The first line

On mobile the post is cut off at roughly 140 characters, about two lines, behind a more link. Everything past that is optional reading.

Links and mentions

The whole draft went through the rewrite, so these are not guaranteed to come back byte for byte. Read them.

Figures and names

Compare against the draft. This is the one category where an error costs you something.

The ending

Rewriters like to close with a question. If you did not ask for one, delete it or forbid it in the instruction.

Straight answer

Will the rewritten post sound like you?

Not automatically. This tool reads one paste and nothing else. There is no profile analysis, no library of your previous posts and no memory between runs, so the only route your voice has into the output is the instruction you write and the edit you make afterwards.

On the two questions that always follow: we make no claim about AI detectors, because we cannot see inside somebody else's tool and will not promise you its verdict. And we have no visibility into whether LinkedIn treats AI-assisted posts differently in its feed, so we are not going to reassure you about that either.

In practice

Who uses the LinkedIn rewriter, and when

Anyone whose bottleneck is shaping rather than thinking. A consultant with a client note that would make a good post. A founder with a DeepSeek draft that is accurate and lifeless. A marketer turning a launch email into something that reads like a person wrote it.

The common case is that the content already exists somewhere else and needs one pass to become postable. That is a single run with a good instruction, which is exactly what five a day is sized for.