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AI models struggle with obscured text on Japanese invoices

A new benchmark tests how well vision models can read Japanese invoices, focusing on challenges like ink opacity and occlusion. The benchmark found that while top-tier models can often read text under translucent seals, they fail when the ink is physically obscured. Interestingly, some models can accurately infer buried numerical data from surrounding context, even when the original digits are completely covered. AI

IMPACT Highlights limitations in current vision models for real-world document processing, particularly with occluded or obscured text.

RANK_REASON The item describes a new benchmark for evaluating vision models on a specific document processing task. [lever_c_demoted from research: ic=1 ai=1.0]

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI models struggle with obscured text on Japanese invoices

COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · Hideki Mori ·

    Reading under the stamp

    <p>Here is the issuer name from a Japanese invoice, rendered at 300 dpi. A red company seal sits directly on top of it — the kind stamped on nearly every invoice in Japan. On the left, the seal is a normal vermilion impression: translucent, the way real 朱肉 ink sits on paper. On t…