REINVENTING TYPOGRAPHY DESIGN THROUGH GENERATIVE AI
DOI:
https://doi.org/10.29121/shodhkosh.v7.i1s.2026.7115Keywords:
Generative AI, Typography Design, Font Generation, Diffusion Models, Creative AI, Multilingual TypographyAbstract [English]
typography is a supporting component of visual communication that determines the readability of visual and aesthetic communication and cultural articulation in both print and digital mediums. The new developments in generative artificial intelligence have opened up new possibilities in redefining typography design beyond the traditional and static workflow crafting. In this paper, we describe GenType-AI, a generative architecture that combines deep learning models with typographic design principles to allow the creation of fonts in an automated and adaptive manner and style-consciously. The paper will start by discussing the development of typography as a result of traditional type foundries and data-driven creative systems based on rule-driven digital tools. Although a history of AI-assisted font generation exists, the majority of designs are still confined to individual styles or restricted glyphs or do not allow semantic control of typographic features. In order to overcome these shortcomings, the given methodology will develop a diversified dataset based on sets of structured glyphs, stylistic font corpora, and handwriting samples of more than one script. GANs, VAEs, and diffusion models are used to learn the entire system of font structure as well as finer style variations. The cross-lingual representation learning and style conditioning allows the synthesis of characters that are consistent across writing systems and alphabets. A rigorous training and evaluation pathway is constructed based on quantitative evaluation indicators of structural similarity and stroke consistency, and qualitative analysis by experts in design. It was experimentally proven that GenType-AI can generate visually coherent, stylistically diverse, and scalable typefaces that can be applied in the real world.
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Copyright (c) 2026 Anil Kumar, Prajapati Kalpana V, Richa Srivastava, Dr. Aditi Lule, Gayathri B, Namrata Somnath Bajare
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