Artificial Intelligence in Audio Description

This chapter provides an overview of possible applications for various AI-based technologies. We will also highlight which of these are available in Frazier and how. The list is regularly updated, so be sure to check back often!

Below, we list the AI-based technologies that are used or currently being researched in AD. Important: Please note the respective information on data protection and associated costs before using these functions. You can request the activation of the respective plugins from support.

Synthetic Voices

This technology is often referred to as text-to-speech (TTS). We use synthetic voices in Frazier to read the audio description in the editor and for the production of Text-To-Speech Audio Description (TTS-AD).

Machine Translation

Machine translation (MT) can help you to translate an existing manuscript into another language.

Large Language Models

Large Language Models (LLMs) are systems trained to understand, process, and generate human language. They typically appear in the form of a chatbot or an app.

Speech Recognition

Automated speech recognition is often referred to as ASR or speech-to-text (S2T, STT). This technology analyses the audio track of a video to generate a transcript.

Image Recognition

Image recognition (also known as image analysis or vision AI) analyses digital images using artificial intelligence to recognise objects, text or faces.

Video Analysis

Video analysis (also known as video recognition) is currently under development. Unlike static image recognition, it detects additional temporal relationships and motion.

Note: We regularly explore whether and how AI can be effectively integrated into Frazier to assist in creating professional AD. If you are interested in this topic, please feel free to contact support, and we can discuss the potential use of AI in your projects.

Last Update: 2026/06/11