AI passive voice fixer
What the AI passive voice fixer does
Paste in a draft and this tool finds passive constructions and rewrites the ones that are actually weakening the sentence: the ones hiding who did something, or defaulting to passive out of habit rather than choice. It leaves passive sentences alone where the passive is the right call, because it usually is somewhere in a piece of writing.
It runs on our AI server rather than in your browser, since judging which passive sentences need fixing takes real reading, not a mechanical find-and-replace. You get 5 free runs every rolling 24 hours, no account and no signup required to start.
The problem
The passive voice problem, in plain terms
"Mistakes were made" is the textbook example, and it's a textbook example because it's genuinely common: passive voice lets a writer describe an action without naming who performed it. Sometimes that's exactly the right move. Often it's a way to avoid saying who broke something, who missed a deadline, or who made a decision that didn't work out.
The other half of the problem has nothing to do with hiding responsibility. AI-generated text defaults to passive constructions constantly, not to dodge blame but because passive phrasing sounds formal and a model trained to sound authoritative reaches for it by reflex, on sentences where there was never anything to hide.
How it works
How to fix passive voice in three steps
Paste, run, copy. Nothing to configure first.
- Step 1
- Paste your draft into the box, whole document or a section at a time.
- Step 2
- Press Fix. The text goes to our AI server, which finds passive constructions and rewrites the ones that are hiding an agent or reading passive by default.
- Step 3
- Read the result against your original. Sentences where passive voice is the right choice for the context are left as they were; check that the tool agreed with your read of each one.
Why it matters
What overused passive voice actually costs your writing
Passive voice used by default, not by choice, adds words without adding information: "the report was reviewed by the team" takes longer to read and say than "the team reviewed the report," and a reader notices the extra effort even if they can't name why.
Agentless passive costs something more specific: trust. "The deadline was missed" reads as evasive the moment a reader realizes the sentence could have just said who missed it. In a status update, an apology, or an incident report, that evasion is often the first thing a reader flags, whether or not the writer meant it that way.
The actual test
When passive voice is the right call
Passive voice is correct, not just tolerable, in a specific set of situations, and the fixer is built to recognise them rather than flatten every passive sentence into active voice.
The test is whether the agent is unknown, irrelevant to the point being made, or being de-emphasised on purpose because the action or the result matters more than who did it. Scientific and technical writing leans on passive constructions for exactly this reason: a methods section says "the samples were incubated at 37 degrees" because the procedure is what matters, not the specific hand that did it, and that convention is well established for good reason.
The failure mode isn't passive voice itself. It's agentless passive used to dodge naming a responsible party, and passive voice used reflexively on a sentence that would read better, and more honestly, in active voice. The fixer targets those two cases specifically and leaves the rest alone.
Straight answer
Does this make AI text undetectable?
No, and fixing passive voice was never going to do that on its own. We don't test this tool against AI detectors and we don't tune it to beat one, so we have no basis to promise what a detector will conclude about text you've run through it.
What it reliably does is remove one specific, well documented tell: reflexive, agentless passive constructions that show up disproportionately in AI-generated text. That's a real improvement in how the writing reads, independent of any claim about detection.
In practice
Who uses the AI passive voice fixer, and when
Writers and editors cleaning up an AI-assisted draft who want to catch the sentences quietly dodging responsibility, without stripping out the passive constructions that are doing legitimate work elsewhere in the same document.
Technical writers and students working on lab reports or methods sections use it differently: mostly to confirm the passive voice they've used is the deliberate, convention-following kind, not to remove it. Managers writing incident reports and postmortems reach for it specifically to catch the agentless passive that quietly avoids naming who was responsible for what.