PaddleOCR 3.0 Technical Report
원문 초록
This technical report introduces PaddleOCR 3.0, an Apache-licensed open-source toolkit for OCR and document parsing. To address the growing demand for document understanding in the era of large language models, PaddleOCR 3.0 presents three major solutions: (1) PP-OCRv5 for multilingual text recognition, (2) PP-StructureV3 for hierarchical document parsing, and (3) PP-ChatOCRv4 for key information extraction. Compared to mainstream vision-language models (VLMs), these models with fewer than 100 million parameters achieve competitive accuracy and efficiency, rivaling billion-parameter VLMs. In addition to offering a high-quality OCR model library, PaddleOCR 3.0 provides efficient tools for training, inference, and deployment, supports heterogeneous hardware acceleration, and enables developers to easily build intelligent document applications.
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Class-Agnostic Region-of-Interest Matching in Document Images
DrishtiKon: Multi-Granular Visual Grounding for Text-Rich Document Images
ARB: A Comprehensive Arabic Multimodal Reasoning Benchmark
Evaluating Menu OCR and Translation: A Benchmark for Aligning Human and Automated Evaluations in Large Vision-Language Models
Relation-Rich Visual Document Generator for Visual Information Extraction
BiblioPage: A Dataset of Scanned Title Pages for Bibliographic Metadata Extraction
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