LLM Output Grammar & Style Checker

Catch grammar, style, and consistency issues in LLM-generated text.

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Spot the tells of machine-written prose

AI-generated text has a recognizable signature: too much passive voice, hedges stacked on hedges, filler transitions, and sentences that all open the same way. This checker scans your text for those exact patterns plus standard issues like comma splices and run-ons, so you can revise output into something that reads like a human wrote it.

How it works

The tool runs a set of rule-based heuristics entirely in your browser. A regular expression looks for be-verb plus past-participle pairs to flag passive voice; a dictionary of hedge words and known AI filler phrases highlights weak or machine-sounding language; a clause-joining pattern catches likely comma splices; and a frequency pass on sentence openers flags monotone structure. It also notes very long sentences and double spaces. Each finding shows the issue type, a short explanation, and an excerpt so you can locate it fast.

Tips and notes

Treat the output as a revision checklist, not a verdict — the passive-voice and comma-splice checks are heuristic and will occasionally misfire on legitimate sentences. The highest-value fixes are usually the warnings: too many passives, repeated openers, and stacked hedges. Because everything runs locally, you can paste confidential drafts without them leaving your browser. Pair this with a human read-through; the checker surfaces patterns quickly, but only you can judge whether a flagged sentence actually needs changing.

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