CANVAS: Captioning Art with Narrative Visual-Audio AI Systems
Visual art remains largely inaccessible to blind and low-vision (BLV) audiences due to brief or absent alt-text, which rarely conveys the sensory, spatial, or emotional qualities of an artwork. This study presents an automated workflow that generates multi-sensory art descriptions and synchronized audio narration using large language models and text-to-speech services. The system, orchestrated through Zapier, converts uploaded images into rich narrative captions without human intervention, enabling rapid, scalable production of accessible media. Quantitative evaluation across 50 artworks shows that AI-generated descriptions contain significantly higher lexical diversity, adjective density...
| Authors | Vignesh Nagarajan |
|---|---|
| Primary category | cs.HC |
| Published | 30 April 2026 |
| Last updated at source | 30 April 2026 |
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