AI Transcription Glossary
The definitive reference for AI audio intelligence, speech recognition, and real-time transcription technology. Every term explained with how CoScript implements it natively.
Core Technology
Speech-to-Text (STT)
The process of converting spoken language into written text using AI-powered recognition algorithms.
Real-Time Transcription
The ability to convert speech into text instantaneously as words are spoken, with minimal latency.
Voice Recognition
AI technology that identifies and processes human speech patterns to understand spoken words.
Natural Language Processing (NLP)
A branch of AI focused on enabling machines to understand, interpret, and generate human language.
Large Language Models (LLMs)
Massive AI models trained on vast text corpora that can understand, generate, and reason about natural language.
Accent Adaptation
The ability of speech recognition systems to accurately transcribe speakers with diverse accents and dialects.
Advanced Features
Speaker Diarization
The process of identifying and separating different speakers within a multi-person audio recording.
Audio Intelligence
AI-powered analysis of audio content to extract meaning, emotion, and structured data from speech.
Machine Translation
Automated translation of text between languages using AI models trained on parallel corpora.
Sentiment Analysis
AI technique that determines the emotional tone and attitude expressed in text or speech.
Use Cases
Meeting Transcription
Automated conversion of meeting audio into structured written notes, often with speaker labels and timestamps.
Live Captioning
Real-time generation of text captions overlaid on video or audio streams for accessibility and comprehension.
AI Note-Taking
Automated capture and organization of meeting notes using artificial intelligence.
Technical Architecture
See These in Action
CoScript processes all of the above natively on your desktop. No cloud audio storage, no meeting bots, no browser tabs.
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