Synthetic Media

Synthetic media is the broad umbrella term covering any piece of content — text, image, audio, or video — that is fully or substantially generated or manipulated by artificial intelligence, in whole or meaningfully in part, rather than directly captured, filmed, or authored unassisted by a human, encompassing essentially every output type in this glossary cluster (text generation, image generation, TTS, voice cloning, video synthesis, deepfakes, avatar generation, and more) under a single policy-and-public-discourse-level category rather than a narrow technical one. The term is used most often in regulatory, journalistic, and platform-policy contexts rather than in day-to-day product engineering discussions, where builders more typically talk about the specific modality (image generation, voice cloning) they're actually implementing — it's the category regulators reach for when writing disclosure requirements (the EU AI Act's Article 50 transparency obligations for AI-generated/manipulated content, and various platform policies requiring labels on synthetic media in political advertising or during elections) because it needs to cover the full breadth of generative outputs — a fabricated news photo, a cloned political speech, a fake product-review video, an AI-narrated audiobook — under one umbrella rather than legislating each modality separately with its own bespoke, quickly outdated rulebook. Why it matters for SaaS builders: any product generating user-facing synthetic media — even something as innocuous as an AI-written product description or an AI-generated hero image — increasingly needs to think about disclosure and provenance from a compliance standpoint, not just a UX one: labeling AI-generated content where required by law or platform policy (many social platforms now require synthetic-media labels on posts), embedding machine-readable provenance metadata (the C2PA "Content Credentials" standard, backed by Adobe, Microsoft, and others, embeds a tamper-evident record of what tools generated or edited a piece of content), and maintaining audit logs of generation requests for accountability. A concrete worked example — a stock-photo marketplace mixing real and AI-generated images: (1) the platform requires every AI-generated upload to be tagged at ingestion, either via the contributor's declaration or automated synthetic-media-detection screening; (2) tagged images are labeled "AI-generated" in search results and on the image's detail page, and are embedded with C2PA content-credential metadata recording the generating tool; (3) buyers can filter search results to include or exclude AI-generated content depending on their use case (some publications have editorial policies barring AI imagery); (4) the platform's terms require AI-generated submissions not depict real, identifiable people without documented consent.