Claude passive voice fixer

Text that Claude drafted carries a specific pattern: passive constructions bound up with its general tendency toward hedging, some of which remove an agent that should be named as another form of qualification. This tool identifies those constructions and rewrites the ones hiding an agent or applied as unnecessary softening, while leaving passive sentences that are contextually correct exactly as written.

The analysis happens server-side, since judging which passive constructions need fixing requires genuine reading rather than a mechanical substitution. The allowance is 5 free runs per rolling 24-hour window, with no account required.

Claude's caution manifests as passive constructions that quietly soften a claim by removing its actor: "a decision was reached" reads as less committal than "we decided," and Claude applies that softer construction even where no one was attempting to avoid responsibility.

Claude's carefulness produces genuinely useful qualification in many contexts, and it also produces passive constructions on sentences that would read more clearly, and more confidently, with an actual subject performing the action.

The process is intentionally short: three steps, no configuration required.

Step 1

Paste the Claude-drafted text, in full or by section.

Step 2

Run it. The text is sent to our AI server, which locates passive constructions and rewrites those hiding an agent or applied as unnecessary softening.

Step 3

Review the result against the source. Sentences where passive voice is contextually correct are left unchanged.

Passive voice compounds Claude's tendency toward qualification: a sentence already hedged with "it could be argued that" reads as doubly uncertain once the claim inside it is also stated passively, requiring the reader to work through two layers of softening to locate the actual point.

The agentless version costs something sharper: it reads as evasive regardless of intent, since a careful reader notices when a sentence could easily have named an actor and did not.

Passive voice is the right construction in a defined set of circumstances, and the fixer is built to recognise them rather than convert every passive sentence Claude produced into active voice regardless of context.

The test: is the agent unknown, irrelevant to the point, or deliberately de-emphasised because the action or its result matters more than who performed it? Scientific writing relies on passive constructions for precisely this reason, and that convention holds regardless of which model assisted in drafting the sentence.

The failure mode is not passive voice itself. It is agentless passive deployed to avoid naming a responsible party, and passive applied as an additional layer of hedging where a direct claim would read more clearly. The fixer targets those two failure modes specifically.

No, and correcting passive voice was never going to accomplish that alone. We do not test this tool against AI-detection services or tune it against any detector's method, so we have no basis for a claim about what a detector would conclude.

The verifiable effect is narrower and real: removal of a specific, well documented tell, agentless and hedge-driven passive constructions Claude applies at an elevated rate. That improvement stands independently of any claim about detection.

Writers and editors revising a Claude-assisted draft who want to identify sentences quietly avoiding attribution or over-qualifying a claim, without removing passive constructions doing legitimate work elsewhere in the same document.

Managers drafting incident reports with Claude's assistance reach for it specifically to identify agentless passive that quietly avoids naming who was responsible for a given outcome, a targeted correction rather than a blanket rule against passive voice.