Most Confused German Words
Ranked by word frequency, the most commonly encountered confusable pairs appear first.
702,465 pairs , page 171 of 7025
- 17001reichtevsrichtet
- 17002stopvsstudio
- 17003hallvsHass
- 17004ninavswindows
- 17005senkenvsspenden
- 17006Schadenvsschämen
- 17007nahevsnähere
- 17008schämenvsSchulen
- 17009Gebotvsgehört
- 17010ChinesischevsChinesischen
- 17011arenavsnoten
- 17012AchtevsÄrzte
- 17013machevsmanch
- 17014HügelvsHunger
- 17015Paulvspour
- 17016erneutvserneute
- 17017KindvsKinos
- 17018studiovsunited
- 17019hotelsvswenns
- 17020FreundvsFreundes
- 17021Hangvshart
- 17022habsvsHahn
- 17023Lebenvslecken
- 17024zackvsZahl
- 17025hartvsharter
- 17026gelbenvsgelegen
- 17027Freundvsfund
- 17028BonnvsBoten
- 17029wardvswerde
- 17030sicherevssicheren
- 17031ChristianvsChristina
- 17032Dramavsdrum
- 17033weckenvsWesten
- 17034FischevsFrische
- 17035Spruchvssuch
- 17036showsvssowas
- 17037WeibervsWetter
- 17038HahnvsHirn
- 17039Gebührenvsgebunden
- 17040Fallevsfull
- 17041siebenvsstiegen
- 17042störenvsStörung
- 17043WachevsWahl
- 17044stopvswindows
- 17045verfolgenvsversorgen
- 17046schlimmevsschlimmer
- 17047Lebervslegen
- 17048verlegenvsversehen
- 17049Nettevsnutze
- 17050gesagtvsgesamt
- 17051TiefenvsTitten
- 17052ProbevsProfi
- 17053kitavsopen
- 17054Ideenvsirren
- 17055vernichtetvsverzichten
- 17056Wahlvswählte
- 17057KultvsKultur
- 17058LondonvsLondoner
- 17059HakenvsHänden
- 17060okayvsOlaf
- 17061hitsvsTrump
- 17062unitedvswindows
- 17063firevsFirmen
- 17064Nettevsover
- 17065SprachenvsSprüche
- 17066Klickvsklicken
- 17067Lampevslaufe
- 17068Todesvstolles
- 17069KartenvsKräften
- 17070Lehrevslerne
- 17071teenvsText
- 17072zähltvszählte
- 17073ReichesvsReihen
- 17074TopfvsTote
- 17075kämpfenvsköpfen
- 17076Totevstötet
- 17077officevstests
- 17078KundevsKurve
- 17079DienervsDienst
- 17080Laservslässt
- 17081legtevslehnte
- 17082schönvsschuf
- 17083vielvsvita
- 17084jagenvsJürgen
- 17085einenvsEugen
- 17086MadevsMark
- 17087Wendevswilde
- 17088seienvsSteven
- 17089jahrelangvsJahrgang
- 17090chefvsChip
- 17091officevswars
- 17092Einsätzevseinsetzen
- 17093tratvsTrio
- 17094dieselvstermine
- 17095MaterialvsMaterie
- 17096whatvswhite
- 17097EindruckvsEindrücke
- 17098wahrervsWasser
- 17099GenfvsGraf
- 17100longvsNahmen
Spelling & Dictionary Insight
The German confusables index tracks 2,006,359 word pairs in total, alongside 1,077,739 headword entries and 2,859 homophone records. The current view , "Most Confused", ranks pairs by a composite score combining both words' frequency ranks and their visual similarity, so the pairs most likely to cause real-world substitution errors surface first. Across the visible 7,025 pages, each row links to a side-by-side comparison page.
On this page, 0 of 100 pairs carry a stored explanation string, a short editor-written or data-derived note that states the distinction in plain language. The rest rely on the side-by-side definition table on their detail page to do the work. Pairs without an explanation are still fully indexed: their word1/word2/slug/confusion_score fields are populated, which is what lets the ranking sort work; the absence is purely in the narrative layer.
Confusable pairs are the class of spelling error that no automated spell-checker can catch, because every member of every pair is already a valid German dictionary word. Substitution errors (their/there, affect/effect, quiet/quite) survive every automated pass. PlainSpell's approach is to index the pair directly, word1, word2, a shared slug like "reichte-vs-richtet", and the distinguishing fields, so readers can look up the comparison before they publish. The "Most Confused" ranking above surfaces the pairs with the highest collision probability first.