Most Confused German Words
Ranked by word frequency, the most commonly encountered confusable pairs appear first.
702,465 pairs , page 130 of 7025
- 12901FilmevsFilter
- 12902spielenvsstillen
- 12903Staatenvsstrafen
- 12904gelebtvsgelöst
- 12905PanzervsPapier
- 12906verhältvsVerhalten
- 12907Scheibevsscheinen
- 12908HafenvsHahn
- 12909gewähltvsgewählten
- 12910schmeckenvsSchmerzen
- 12911hahavsHahn
- 12912könnenvsköpfen
- 12913lädtvslady
- 12914wallvsWand
- 12915Engervseuer
- 12916fangenvsFranken
- 12917haltenvshauen
- 12918vorhinvsvorn
- 12919legevslegen
- 12920Fallvsfull
- 12921legevsLeid
- 12922legenvslehren
- 12923borisvsfoto
- 12924beratenvsberufen
- 12925foodvsForm
- 12926offenvsOrden
- 12927teuervsTrier
- 12928vorhandenvsvorhandene
- 12929Mainvsmalen
- 12930SchuldvsSchwule
- 12931backenvsbauen
- 12932EngervsHeinz
- 12933NachbarvsNachbarn
- 12934bestätigtvsbestätigte
- 12935habsvsHass
- 12936fredvsfrei
- 12937selbenvssenken
- 12938KassevsKassel
- 12939dailyvsfoto
- 12940MagenvsMauer
- 12941Flurvsfrüh
- 12942SchuhvsSchutz
- 12943halbesvsHauses
- 12944nassvsNews
- 12945fremdvsFreund
- 12946sorgenvsSorten
- 12947sicherenvssichern
- 12948Helmvshielt
- 12949jazzvsuser
- 12950MauervsMaul
- 12951gebtvsGerät
- 12952EuropevsHeinz
- 12953keinesvskleinen
- 12954politischevsPolnische
- 12955NiederlagevsNiederlande
- 12956bindenvsBoden
- 12957kleinenvskleinsten
- 12958MaryvsNette
- 12959dickvsdicken
- 12960bietenvsbitter
- 12961WartevsWüste
- 12962TatenvsTitten
- 12963Wohlvswork
- 12964habsvsopen
- 12965ligavsover
- 12966nationalvsNationen
- 12967Sitzvssmith
- 12968findevsfire
- 12969Geländevsgelandet
- 12970tratvstust
- 12971siegenvsSzenen
- 12972stellenvsstillen
- 12973hotelvsHTML
- 12974unseresvsuntere
- 12975anderervsAnleger
- 12976gemeinsamvsgemeinsames
- 12977ReifenvsReihen
- 12978Bauchvsbrach
- 12979arenavshotels
- 12980nationvstests
- 12981warmvswarnt
- 12982verschiedenenvsverschiedensten
- 12983FischvsFrische
- 12984SchwächevsSchwarze
- 12985eigenemvseigener
- 12986aufgenommenvsausgenommen
- 12987SaisonvsSassen
- 12988bestehenvsbestehend
- 12989Regievsreine
- 12990officevstore
- 12991nationvswars
- 12992SchwedenvsSchwein
- 12993BasisvsBass
- 12994notenvsopen
- 12995Musikvsmutig
- 12996typischvstypische
- 12997ligavstrends
- 12998DeckevsDreck
- 12999verkaufevsverkauft
- 13000kidsvsmario
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 "filme-vs-filter", 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.