{
  "id": 10472062,
  "title": "What Heraldry and Mon Can Teach Us About Building Visual-Identity Generators",
  "url": "https://urgent.news/2026/09/28/what-heraldry-and-mon-can-teach-us-about-building-visual-identity",
  "topic": "tech",
  "section": "Tech",
  "published": "2026-09-28T14:48:44.000Z",
  "source": {
    "name": "Hacker News",
    "slug": "hacker-news",
    "url": "https://benovermyer.com/blog/2026/09/japanese-vs-western-heraldry/"
  },
  "original_language": "en",
  "account": "Iron Arachne's heraldry generator is built on the concept that heraldry can be represented in software. The generator's original design assembled a random selection of lions, eagles, crosses, swords, flowers, and crowns, but this approach did not yield true heraldry. Heraldry is a system of rules, not just a collection of symbols. To create faithful representations, the generator must capture these rules. Comparing European heraldry with Japanese mon provides a useful contrast, as both traditions have distinct approaches to visual identifiers. European heraldry relies on a formal language called blazon, which describes heraldic designs using a vocabulary and grammar. This blazon system acts like a constrained natural language, providing a structured way to describe and generate heraldic designs. On the other hand, Japanese mon utilize a stylized visual vocabulary and compositional patterns rather than a linguistic description. Mon are highly stylized designs constructed from recognizable motifs and arranged according to specific composition rules. To generate Japanese mon, a procedural approach focuses on graphical primitives, such as duplicating shapes, rotating them around a common origin, and scaling them according to templates. This method generates a visual structure that captures the essence of the mon. In summary, European heraldry and Japanese mon present two distinct approaches to visual identity generation. Western heraldry can be described using a structured blazon, while Japanese mon rely on graphical primitives and compositional patterns. By understanding these differences, developers can create more effective visual-identity generators tailored to specific cultural traditions.",
  "summary": null,
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}