Most Confused German Words
Ranked by word frequency, the most commonly encountered confusable pairs appear first.
702,465 pairs , page 104 of 7025
- 10301fehlenvsfielen
- 10302hundertvsHunderte
- 10303Gedankenvsgedenken
- 10304leistenvsleiten
- 10305lebtenvslernen
- 10306Bassvsbist
- 10307BasisvsBoss
- 10308megavsstatus
- 10309einigvseinst
- 10310Glasvsglatt
- 10311lernenvslernte
- 10312Räumenvsrufen
- 10313Rechnervsrechten
- 10314Danielvsdanken
- 10315üblichvsUlrich
- 10316HandvsHandys
- 10317jungvsJünger
- 10318ladyvsLast
- 10319hotelsvsmario
- 10320Eckevsesse
- 10321fünfvsfünfte
- 10322wesentlichenvswestlichen
- 10323PraxisvsProfis
- 10324rechtenvsreichte
- 10325Religionvsreligiöse
- 10326drehtevsdritte
- 10327untenvsuntere
- 10328verlierenvsvorliegen
- 10329gelangenvsgelungen
- 10330linevsLinie
- 10331ReifevsReise
- 10332jazzvsliga
- 10333MarktvsMaske
- 10334Salzvssass
- 10335berechnetvsberichtet
- 10336GolfvsGraf
- 10337malevsmüde
- 10338bistvsbunt
- 10339GrafvsGraz
- 10340ReinenvsReise
- 10341ReisvsReise
- 10342jeansvsvideo
- 10343idealevsIdee
- 10344Bankvsbook
- 10345genauvsGenf
- 10346LeaguevsMary
- 10347überraschendvsÜberraschung
- 10348HartzvsHerz
- 10349Engervsfoto
- 10350blackvsbrach
- 10351Haarvsharry
- 10352lifevsLisa
- 10353hotelsvsstudio
- 10354MarkvsMarken
- 10355findvsFonds
- 10356BereichevsBereichen
- 10357HitlervsHitze
- 10358Levelvslove
- 10359TourvsTurm
- 10360fressenvsfreuen
- 10361fangenvsFarben
- 10362keinervsKleider
- 10363Dorfvsdown
- 10364feinevsfreie
- 10365ProfivsProfil
- 10366Europevsfoto
- 10367communityvsnation
- 10368beidervsBeine
- 10369befandvsBrand
- 10370MichelvsMittel
- 10371Seitenvssenken
- 10372dichtvsDichter
- 10373BachvsBock
- 10374fallsvsfaul
- 10375brauchtvsBraut
- 10376Ofenvsoffen
- 10377unterscheidenvsunterscheidet
- 10378linevslive
- 10379liegenvslisten
- 10380poolvspost
- 10381SohnvsSohnes
- 10382Schwarzervsschwerer
- 10383WeinvsWeiten
- 10384wesentlichvswesentliche
- 10385gewähltvsgewährt
- 10386openvsstars
- 10387gehtvsgerd
- 10388GradvsGramm
- 10389hotelsvswindows
- 10390zahlenvsZahlung
- 10391TittenvsTwitter
- 10392arenavsNahmen
- 10393RatevsRuhe
- 10394musicvsTrump
- 10395TierevsTrier
- 10396communityvssingles
- 10397GeldvsGenf
- 10398nationalevsnationalen
- 10399verlegtvsverliert
- 10400ebenvserben
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 "fehlen-vs-fielen", 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.