Synthetic Media: Definition and Examples

Synthetic media encompass all content created, modified, or augmented using artificial intelligence. Unlike traditional media produced by direct capture (camera, microphone), synthetic media are algorithmically generated, often from simple text instructions or training data.

This category covers a very wide spectrum of productions: photorealistic images generated by Midjourney or DALL-E, cloned voices from text-to-speech models, videos created by tools like Sora or Runway, texts written by LLMs like Claude or GPT, and even real-time animated digital avatars. The common point is that the content does not exist 'naturally' — it is synthesized by a machine.

The rise of synthetic media raises fundamental questions about authenticity, trust, and ethics. Deepfakes, the most publicized subcategory, illustrate the risks of manipulation. But positive applications are equally significant: automatic film dubbing, creation of personalized educational content, rapid prototyping in design, or accessibility for people with disabilities.

In prompt engineering, understanding synthetic media is essential because every interaction with a generative model produces, by definition, a synthetic medium. The quality of the prompt directly determines the quality, relevance, and fidelity of the generated content. Mastering this concept allows for a better grasp of the capabilities and limitations of current generative tools.