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arXiv · 2606.19096

PorTEXTO: A European Portuguese Benchmark for Visual Text Extraction

João Cardeira·Diogo Glória-Silva·Manuel Letras da Luz·Rafael Ferreira·Diogo Tavares·David Semedo·João Magalhães
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Abstract

European Portuguese (pt-PT) is largely absent from Optical Character Recognition (OCR) benchmarks, which skew toward high-resource languages. The few benchmarks that cover pt-PT focus on historical artifacts and literature. This work addresses modern OCR applications, introducing PorTEXTO, the first benchmark for contemporary and culturally relevant pt-PT visual text extraction. To ascertain quality, we employ an annotation pipeline combining transcriptions from a frontier LVLM with exhaustive review by native speakers. We observe a sharp performance drop from synthetic to real world samples in most models, and find that, currently, specialized multilingual data is a better driver for pt-PT performance than model size or resolution budget, motivating the release of open pt-PT OCR resources.

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João Cardeira, Diogo Glória-Silva, Manuel Letras da Luz, Rafael Ferreira, Diogo Tavares, David Semedo, João Magalhães. 2026-08-31. PorTEXTO: A European Portuguese Benchmark for Visual Text Extraction. https://arxiv.org/abs/2606.19096

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