Heuristic Transcoding

Heuristic transcoding is the automated transformation of web content to improve accessibility, device compatibility, or readability using a fixed set of predefined rules that inspect the page structure, media types, or visual characteristics — for example, rules that strip small decorative images, enlarge text, linearise table layouts, or summarise long pages. The approach scales cheaply across arbitrary sites because no per-site annotation is needed, but because rules must be general enough to cope with the heterogeneity of the web, they often produce inaccuracies: important content gets removed, decoration gets kept, meaning gets mangled. Heuristic transcoding is typically contrasted with semantic transcoding, which uses per-site or per-page annotations to drive more accurate transformation.