5 projects for "complex" with 2 filters applied:

  • Veeam Data Platform v13.1 Icon
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  • 1
    DeepSeek-OCR 2

    DeepSeek-OCR 2

    Visual Causal Flow

    DeepSeek-OCR-2 is the second-generation optical character recognition system developed to improve document understanding by introducing a “visual causal flow” mechanism, enabling the encoder to reorder visual tokens in a way that better reflects semantic structure rather than strict raster scan order. It is designed to handle complex layouts and noisy documents by giving the model causal reasoning capabilities that mimic human visual scanning behavior, enhancing OCR performance on documents with rich spatial structure. The repository provides model code and inference scripts that let researchers and developers run and benchmark the system on both images and PDFs, with support for batch evaluation and optimized pipelines leveraging vLLM and transformers.
    Downloads: 6 This Week
    Last Update:
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  • 2
    Unlimited OCR Works

    Unlimited OCR Works

    Welcome the Era of One-shot Long-horizon Parsing

    ...The repository also includes example code for batch inference over image folders or PDF inputs. Overall, it is useful for researchers and developers who need advanced OCR, long-document parsing, and model-based extraction from complex visual documents.
    Downloads: 28 This Week
    Last Update:
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  • 3
    GLM-OCR

    GLM-OCR

    Accurate × Fast × Comprehensive

    GLM-OCR is an open-source multimodal optical character recognition (OCR) model built on a GLM-V encoder–decoder foundation that brings robust, accurate document understanding to complex real-world layouts and modalities. Designed to handle text recognition, table parsing, formula extraction, and general information retrieval from documents containing mixed content, GLM-OCR excels across major benchmarks while remaining highly efficient with a relatively compact parameter size (~0.9B), enabling deployment in high-concurrency services and edge environments. ...
    Downloads: 2 This Week
    Last Update:
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  • 4
    dots.ocr

    dots.ocr

    Multilingual Document Layout Parsing in a Single Vision-Language Model

    ...It achieves state-of-the-art performance on document parsing benchmarks while maintaining a relatively compact model size, demonstrating efficiency without sacrificing accuracy. Beyond standard OCR tasks, it extends its capabilities to parse complex visual elements such as charts, diagrams, and web interfaces, converting them into structured outputs like SVG code.
    Downloads: 0 This Week
    Last Update:
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  • 5
    Unlimited-OCR

    Unlimited-OCR

    Layout-aware OCR model for multilingual document understanding

    Unlimited-OCR is Baidu’s open-source optical character recognition (OCR) model designed to accurately extract and understand text from complex documents, images, and multilingual content. Unlike traditional OCR systems that focus only on text detection and transcription, Unlimited-OCR combines advanced document parsing with language understanding, enabling it to recognize structured elements such as tables, formulas, charts, and mixed-layout documents while preserving their logical organization. ...
    Downloads: 0 This Week
    Last Update:
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