AI press release polisher

A press release serves one function with one structure: lead with the news, substantiate it with detail, and conclude before drifting into marketing copy. This tool takes an AI-drafted release, or one that reads as one, and restores that structure rather than the padded version a model tends to produce.

The rewrite is server-side, text is sent to our AI server, processed and returned, since restoring genuine inverted-pyramid structure is work a language model performs. The allowance is 5 free runs per rolling 24-hour window, no account required.

Journalists and editors review a high volume of releases, and the following patterns are precisely why most receive thirty seconds of attention before being set aside.

'Is pleased to announce'

An opener that delays the actual news by a full clause, within a format built to lead with the news itself.

The quote that says nothing

'We're thrilled about this milestone,' attributed to an executive, adding a name to the release without adding a single fact.

The buried lede

The who, what and when appearing in the third paragraph rather than the first sentence, the inverse of the inverted pyramid the format is built on.

Boilerplate creep

The standard company-description paragraph expanding to carry weight it was never meant to, padding a release genuinely thin on news.

The process is intentionally brief: three steps, no configuration.

Step 1

Paste the draft, dateline and boilerplate included where already written.

Step 2

Run it. The text is sent to our AI server, rewritten, and returned within a few seconds.

Step 3

Confirm the actual news occupies the first sentence, then copy the result. The interface shows how many of your 5 runs remain.

An editor evaluating a release for coverage reads the first sentence and decides within seconds. News appearing in the third paragraph means most readers never reach it, and the release is treated as marketing material rather than news.

A vacuous quote inflicts comparable damage on a smaller scale: it signals that the release prioritizes appearing complete over saying anything substantive, which makes a reader skeptical of the sections that actually matter.

A model trained on a large volume of releases learns the shape of the format, the opener, the quote, the boilerplate, without necessarily learning which sections should carry substance and which function as structural filler. It reproduces every section faithfully regardless of whether genuine news exists to fill it.

It relocates the actual news to the first sentence, tightens or flags a quote that says nothing, and removes phrasing such as 'is pleased to announce' that delays the point. It preserves the standard release structure, dateline, quote, boilerplate, intact.

It does not invent a fact, figure or quote absent from the source. Where a quote is vacuous because nothing substantive stands behind it, supplying an actual statement remains the author's task. Reviewing the result before distribution remains the author's responsibility.

No, and no honest tool can. Coverage depends on genuine newsworthiness, timing and an editor's independent judgment, none of which a rewrite controls.

What it reliably corrects is a release's tendency to read as indistinguishable from every other release in an editor's inbox. That is a genuine improvement in whether it receives a first read, stated as exactly that, not as a claim about coverage.

Small companies and founders drafting their own releases without a dedicated communications team, who used a model for a fast first draft but need it to read as genuine news. Communications staff refining a release before distribution to a wire service.

It is equally useful for a release with substantive news buried under excessive scene-setting, where a tighter version would land more effectively carrying the identical facts.