Skip to content

AI Text Generator

 An AI text generator is a system that uses artificial intelligence (AI) to generate texts automatically. The underlying models are based on machine learning, in particular on large language models (LLMs) that have been trained with extensive text data. The aim is to automatically generate linguistically coherent texts.

Modern AI text generators are generally based on so-called transformer models, such as GPT (Generative Pre-trained Transformer). These language models analyse large amounts of text data and generate new texts based on statistical probabilities.
 
Areas of application
  • AI text generators can be used for a variety of applications, including
  • Content marketing: creation of advertising copy and newsletter subject lines.
  • Automated journalism: creation of news texts based on structured data, for example on weather, sport or stock market prices.
  • Dialogue systems: Integration into chatbots or virtual assistants for automated communication with users.
  • E-commerce: Generation of product descriptions, category texts or user-based recommendations.
  • Customer service and internal communication: Automated email templates, FAQ texts, draft minutes.

 

Technical Approaches
AI text generation can be based on various methods:

  • Data-to-text: Generation based on structured data.
  • Images to text (image-to-text): Description of images or videos through textual output.
  • Text to text: Further processing of existing texts by rephrasing, summarising, translating or changing the style.

Areas of application of AI generators
 
AI text generators can be integrated into editorial systems, chatbots or web applications via programming interfaces (APIs). This allows them to become part of automated processes in marketing, editing, support or knowledge management.
 
Verification is important
However, it is important to check the results of AI text generators, as they may contain errors or produce inappropriate content. For example, they can present incorrect facts, generate contradictory statements or treat socially sensitive content inappropriately. A professional review is therefore essential, especially in professional or public contexts.