Multilingual Document Recognition

via “language-agnostic text recognition with shared vocabulary”

image-to-text model by undefined. 75,19,420 downloads.

Unique: Uses a unified tokenizer with shared embedding space across 8 languages rather than language-specific tokenizers, enabling zero-shot cross-lingual transfer and eliminating the need for language detection preprocessing

vs others: Simpler deployment than multi-model approaches (separate Tesseract instances per language) while maintaining competitive accuracy, and more flexible than language-specific models when handling mixed-language documents