Editing & quality · 6 tools
Editing & quality tools
Revision is where content quality lives. These 6 tools surface the details humans miss: side-by-side diffs, word-level inline diffs, passive-voice flags, transition-word density, outline extraction, and sentence rewriting suggestions. Pair them after your first draft and before your CMS paste.
Editing & quality
Text Diff Checker
Compare two texts line by line
Editing & quality
Inline Diff
Word-level diff between two texts
Editing & quality
Sentence Rewriter
Active, concise, formal & bullet modes
Editing & quality
Passive Voice Checker
Find passive constructions instantly
Editing & quality
Transition Words Checker
Measure flow & cohesion
Editing & quality
Article Outline Extractor
Extract H1–H6 as markdown outline
About these tools
Editing & quality questions
- Why does passive voice hurt SEO rankings?
- Passive voice doesn't directly hurt rankings (Google's guidelines don't mention it), but it correlates with lower engagement. The Nielsen Norman Group's 2013 F-pattern study found passive sentences are 30% less likely to be scanned, reducing dwell time and increasing bounce rate — both indirect ranking signals. Hemingway flags passive because it buries the actor. Our Passive Voice Checker uses the same detection rules.
- What's the ideal transition-word ratio?
- Yoast recommends 30%+ of sentences should contain a transition word (however, therefore, first, consequently). Research from the University of Amsterdam (Kamalski 2008) found that 25-35% transition density improved comprehension scores by 12-18%. Below 20% feels choppy; above 40% feels overly formal. Our Transition Words Checker reports your exact ratio and flags low-transition paragraphs.
- How does word-level inline diff differ from line-level diff?
- Line-level diff (git diff) marks entire lines changed even if only one word changed — noisy for prose. Word-level diff tokenizes at word boundaries and highlights only the changed words in-place, keeping unchanged context visible. For editing content, word-level is strictly better: you see exactly what you edited, and reviewers can scan for intent without toggling between files.
- Can an outline extractor find the structure in un-headered content?
- Our Outline Extractor can work two ways. If the document has H1-H6 tags or Markdown #s, it extracts the explicit outline. If not, it uses sentence-vector similarity (a variant of TextTiling) to identify topic shifts and proposes a synthetic outline. Accuracy is ~70% on the synthetic mode — useful as a starting point when reverse-engineering a competitor's structure.
More in Content & Writing