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PaddleOCR

50,209

Offers practical, ultra-lightweight multilingual OCR and advanced document parsing capabilities based on PaddlePaddle.

소개

PaddleOCR is a highly acclaimed open-source OCR solution widely adopted across various industries and research fields. The recently released PaddleOCR 3.0 leverages the PaddlePaddle 3.0 framework, significantly enhancing text recognition accuracy, supporting diverse text types including complex handwritten forms, and meeting the demand for high-precision parsing of intricate documents for large language model applications. It introduces three core advancements: PP-OCRv5 for comprehensive text recognition, PP-StructureV3 for high-accuracy multi-scenario PDF parsing, and PP-ChatOCRv4 for intelligent document understanding with native support for Wenxin large models. Beyond its robust model library, PaddleOCR provides user-friendly tools for model training, inference, and service deployment, facilitating rapid AI application development across various hardware platforms.

주요 기능

  • PP-ChatOCRv4: Intelligent document understanding solution with native support for Wenxin large language models (e.g., Ernie 4.5 Turbo) and integration with PP-DocBee2.
  • 50,209 GitHub stars
  • PP-OCRv5: All-scenario high-precision text recognition supporting 5 text types (Simplified/Traditional Chinese, Pinyin, English, Japanese) and complex handwritten text.
  • Comprehensive toolkit for model training, inference, and service deployment.
  • PP-StructureV3: General document parsing solution for multi-scenario, multi-layout PDFs with specialized capabilities like seal recognition, chart-to-table conversion, and complex table analysis.
  • Support for multiple hardware platforms including CPU, GPU, XPU, NPU, Kunlunxin, and Ascend.

사용 사례

  • Performing batch and offline Optical Character Recognition (OCR) for various languages.
  • Extracting key information and enabling intelligent understanding from complex document content (e.g., invoices, certificates, reports).
  • Converting diverse document types to Markdown format.
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