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Document Parsing

OmniDocBench: A Real-World, Fine-Grained Benchmark for Fair and Comprehensive PDF Document Parsing Evaluation

OmniDocBench: A Real-World, Fine-Grained Benchmark for Fair and Comprehensive PDF Document Parsing Evaluation 1279

Evaluating document parsing systems has long been a frustrating exercise in inconsistency. Many existing benchmarks focus narrowly on clean academic…

12/22/2025Document Parsing, Layout Analysis, Multimodal Document Understanding
PP-OCR: Ultra-Lightweight, Multilingual OCR and Document AI for Real-World Applications

PP-OCR: Ultra-Lightweight, Multilingual OCR and Document AI for Real-World Applications 66154

In today’s AI-driven world, turning unstructured visual data—like scanned invoices, handwritten notes, or multilingual PDFs—into structured, machine-readable formats is a…

12/12/2025Document Parsing, Optical Character Recognition, vision-language modeling
MinerU: High-Precision Open-Source Document Parsing for Real-World PDFs, Tables, and Formulas

MinerU: High-Precision Open-Source Document Parsing for Real-World PDFs, Tables, and Formulas 50296

Converting real-world documents—especially PDFs containing mixed content like equations, tables, multi-column layouts, and scanned text—into clean, structured, machine-readable formats remains…

12/12/202512/12/2025Document Parsing, Multimodal Understanding, Optical Character Recognition (OCR)
MonkeyOCR: High-Accuracy Document Parsing for Complex Layouts with Tables, Formulas, and Multilingual Text—Fast, Lightweight, and Deployable

MonkeyOCR: High-Accuracy Document Parsing for Complex Layouts with Tables, Formulas, and Multilingual Text—Fast, Lightweight, and Deployable 6354

Parsing complex documents—especially those containing tables, mathematical formulas, mixed layouts, or multilingual content—remains a persistent challenge in real-world AI applications.…

12/11/202512/15/2025Document Parsing, Optical Character Recognition (OCR), vision-language modeling
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