Automatic Term Extraction from Lectures and Documents
Identify technical terms, domain-specific jargon, and key definitions automatically, each with its original context and a clear explanation.
Automated Glossary Building from Your Own Content
Vocabulary Mode scans your transcripts and documents to extract specialised terminology you need to learn. Unlike generic dictionaries, every definition is paired with the original sentence where the term appeared, so you understand how it is actually used in your field.
- Detects technical, clinical, legal, and academic terminology automatically
- Generates contextual definitions tied to the source sentence
- Organises terms by subject, source file, or custom categories
- Builds a searchable personal glossary across all your content
- Exports word lists to Anki, Quizlet, or CSV for external study
How It Works
Process Content
Terms are extracted automatically when you transcribe audio or import a document, no manual tagging required.
Review in Context
Browse extracted terms with definitions and see the exact passage where each term was used.
Study or Export
Convert terms into flashcards for spaced repetition, or export your glossary to external study tools.
Every Field Has Its Own Language: Learn It Faster
Manually building vocabulary lists from lectures is tedious and easy to get wrong. Vocabulary Mode automates extraction and provides contextual definitions that are more useful than generic dictionary entries.
Who It's For
Medical Students
Build a glossary of anatomical, pharmacological, and clinical terms from lecture recordings.
Law Students
Extract legal terminology and Latin phrases with contextual definitions from case discussions.
ESL and Language Learners
Identify unfamiliar words from conversation recordings with real-usage examples.
Technical Professionals
Maintain an evolving glossary of domain-specific jargon from training sessions and documentation.
Part of the TranscriptAI Ecosystem
Vocabulary connects to flashcards for active study and links back to your transcript library so you can always find the original context for any term.