The Vocabulary Extractor analyses any text and automatically identifies words worth teaching — filtering out common everyday words and highlighting vocabulary that will genuinely expand your students' range. Instead of reading through a text and manually noting words to pre-teach, the tool does the work in seconds. This is particularly useful when working with authentic texts such as newspaper articles, TED Talk transcripts, or graded reader extracts, where the vocabulary load can be uneven and difficult to assess quickly by eye.

Pre-teaching vocabulary before a reading or listening activity is one of the most evidence-based strategies in language teaching. When students encounter a word for the first time in a meaningful context — in a song, an article, or a conversation — and then study it separately through the extracted vocabulary sheet, retention rates are significantly higher than learning words in isolation from a textbook. The extractor makes this approach fast and practical to implement in every lesson.