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Linguee alternatives & similar sites

Linguee | Deutsch-Englisch Wörterbuch (und weitere Sprachen) — 18 websites ranked by shared content topics, category and on-page relevance.

Each result shows its full tech stack, contacts and AI-policy — not just a name · Browse all sites in Language Learning →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
dict.cc ↗	73 match shared topic	dict.cc \| Wörterbuch Englisch-Deutsch	de	language-learning	robotsllmsaihumans	emailphone	partial · 1
ef.de ↗	67 match shared topic	EF - Sprachen. Bildung. Reisen. \| EF Deutschland	Germany de	language-learning Storyblok	robotsllmsaihumans	emailphone	none
business-spotlight.de ↗	67 match shared topic	Effektiv Business Englisch lernen \| ZEIT Sprachen Digital & Business Spotlight	Germany de	language-learning Drupal	robotsllmsaihumans	emailphone	none
verbformen.de ↗	67 match shared topic	Netzverb Wörterbuch - Flexion deutscher Verben, Substantive, Adjektive	Germany de	language-learning	robotsllmsaihumans	emailphone	partial · 2
goethe.de ↗	61 match shared topic	Goethe-Institut \| Sprache. Kultur. Deutschland.	Germany de	language-learning	robotsllmsaihumans	emailphone	none
sprachenlernen24.de ↗	61 match shared topic	Sprachkurse mit Langzeitgedächtnis-Methode \| Sprachenlernen24	Germany de	language-learning	robotsllmsaihumans	emailphone	none
efswiss.ch ↗	61 match shared topic	EF - Sprachen. Bildung. Reisen. \| EF Schweiz	Switzerland de	language-learning Storyblok	robotsllmsaihumans	emailphone	none
ef.at ↗	61 match shared topic	EF - Sprachen. Bildung. Reisen. \| EF Österreich	Austria de	language-learning Storyblok	robotsllmsaihumans	emailphone	none
translatetheweb.com ↗	61 match shared topic	Microsoft Translator – aus Englisch übersetzen	de	language-learning	robotsllmsaihumans	emailphone	none
bbs-sprachen.de ↗	61 match shared topic	Ihre Sprachschule in Baden-Baden: Fremdsprachen	Germany de	language-learning	robotsllmsaihumans	emailphone	none
fadaf.de ↗	61 match shared topic	FaDaF - Fachverband Deutsch als Fremd- und Zweitsprache e.V.	Germany de	language-learning WordPress	robotsllmsaihumans	emailphone	none
texterei.com ↗	61 match shared topic	Dolmetschen und Übersetzen in Wien, Englisch, Spanisch, Französisch Professionelle Dolmetschung und Übersetzung von Dagmar Jenner	de	language-learning WordPress	robotsllmsaihumans	emailphone	none
vds-ev.de ↗	61 match shared topic	Start \| Verein Deutsche Sprache e. V.	Germany de	language-learning WordPress	robotsllmsaihumans	email phone	none
gfds.de ↗	61 match shared topic	GfdS \| Gesellschaft für deutsche Sprache e. V. in Wiesbaden im Deutschen Bundestag	Germany de	language-learning WordPress WooCommerce	robotsllmsaihumans	emailphone	none
humboldt-institut.org ↗	61 match shared topic	Deutsch lernen in Deutschland \| Humboldt-Institut - Intensive Deutschkurse	de	language-learning WordPress	robotsllmsaihumans	email phone	none
deutsch-perfekt.com ↗	61 match shared topic	Einfach und effektiv Deutsch lernen und üben \| Deutsch perfekt	de	language-learning Drupal	robotsllmsaihumans	emailphone	none
openthesaurus.de ↗	61 match shared topic	Synonyme - OpenThesaurus - Deutscher Thesaurus	Germany de	language-learning	robotsllmsaihumans	emailphone	none
yucca.de ↗	61 match shared topic	Alle Sprachen - Sprachkurse, Fernstudium, Sprachcomputer, Software, Wörterbücher, Übersetzungen, Sprachreisen	Germany de	language-learning	robotsllmsaihumans	emailphone	none

How the match score works

Each match is a 0–100 similarity score — the higher it is, the more two sites resemble one another. It’s computed automatically from our own crawl data (never from what a site says about itself) by combining several independent signals, so a high score means several of them point the same way:

shared topics how many of the same fine‑grained content topics (IAB sub‑categories) both sites cover — the main signal.
same category whether they sit in the same business / industry category.
content & title how closely their titles and page descriptions line up in wording and meaning.

No single signal decides the result — they’re blended together. Treat the score as a way to rank candidates rather than an absolute percentage; the chips on each result show which signals contributed.