# Draft **Repository Path**: ppov-nuc/draft ## Basic Information - **Project Name**: Draft - **Description**: No description available - **Primary Language**: Unknown - **License**: Apache-2.0 - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 1 - **Created**: 2025-04-20 - **Last Updated**: 2025-05-20 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README

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## 🚀 Introduction Since its initial release, PaddleOCR has gained widespread acclaim across academia, industry, and research communities, thanks to its cutting-edge algorithms and proven performance in real-world applications. It’s already powering popular open-source projects like Umi-OCR, OmniParser, MinerU, and RAGFlow, making it the go-to OCR toolkit for developers worldwide. On May 20, 2025, the PaddlePaddle team unveiled PaddleOCR 3.0, fully compatible with the official release of the [PaddlePaddle 3.0](https://github.com/PaddlePaddle/Paddle) framework. This update further **boosts text-recognition accuracy**, adds support for **multiple text-type recognition** and **handwriting recognition**, and meets the growing demand from large-model applications for **high-precision parsing of complex documents**. When combined with the **ERNIE 4.5T**, it significantly enhances key-information extraction accuracy. PaddleOCR 3.0 also introduces support for domestic hardware platforms such as **KUNLUNXIN** and **Ascend**. Three Major New Features in PaddleOCR 3.0 - 🖼️ Universal-Scene Text Recognition Model [PP-OCRv5](): A single model that handles five different text types plus complex handwriting. Overall recognition accuracy has increased by 13 percentage points over the previous generation. - 🧮 General Document-Parsing Solution [PP-StructureV3](): Delivers high-precision parsing of multi-layout, multi-scene PDFs, outperforming many open- and closed-source solutions on public benchmarks. - 📈 Intelligent Document-Understanding Solution [PP-ChatOCRv4](): Natively powered by the WenXin large model 4.5T, achieving 15.7 percentage points higher accuracy than its predecessor. In addition to providing an outstanding model library, PaddleOCR 3.0 also offers user-friendly tools covering model training, inference, and service deployment, so developers can rapidly bring AI applications to production.

PaddleOCR Architecture

You can [Quick Start](#-quick-start) directly, find comprehensive documentation in the [PaddleOCR Docs](https://paddlepaddle.github.io/PaddleOCR/main/index.html), get support via [Github Issus](https://github.com/PaddlePaddle/PaddleOCR/issues), and explore our OCR courses on [OCR courses on AIStudio](https://aistudio.baidu.com/course/introduce/25207). ## 📣 Recent updates 🔥🔥2025.05.20: Official Release of **PaddleOCR v3.0**, including: - **PP-OCRv5**: High-Accuracy Text Recognition Model for All Scenarios - Instant Text from Images/PDFs. 1. 🌐 Single-model support for **five** text types - Seamlessly process **Simplified Chinese, Traditional Chinese, Simplified Chinese Pinyin, English** and **Japanse** within a single model. 2. ✍️ Improved **handwriting recognition**: Significantly better at complex cursive scripts and non-standard handwriting. 3. 🎯 **13-point accuracy gain** over PP-OCRv4, achieving state-of-the-art performance across a variety of real-world scenarios. - **PP-StructureV3**: General-Purpose Document Parsing – Unleash SOTA Images/PDFs Parsing for Real-World Scenarios! 1. 🧮 **High-Accuracy multi-scene PDF parsing**, leading both open- and closed-source solutions on the OmniDocBench benchmark. 2. 🧠 Specialized capabilities include **seal recognition**, **chart-to-table conversion**, **table recognition with nested formulas/images**, **vertical text document parsing**, and **complex table structure analysis**. - **PP-ChatOCRv4**: Intelligent Document Understanding – Extract Key Information, not just text from Images/PDFs. 1. 🔥 **15.7 % improvement** in key-information extraction on PDF/PNG/JPG files over the previous generation. 2. 💻 Native support for **ERINE4.5 Turbo**, with compatibility for large-model deployments via [PaddleNLP](https://github.com/PaddlePaddle/PaddleNLP), Ollama, vLLM, and more. 3. 🤝 Integrated **PP-DocBee2**, enabling extraction and understanding of printed text, handwriting, seals, tables, charts, and other common elements in complex documents.
The history of updates - 🔥🔥2025.03.07: Release of **PaddleOCR v2.10**, including: - **12 new self-developed models:** - **[Layout Detection series](https://paddlepaddle.github.io/PaddleX/latest/en/module_usage/tutorials/ocr_modules/layout_detection.html)**(3 models): PP-DocLayout-L, M, and S -- capable of detecting 23 common layout types across diverse document formats(papers, reports, exams, books, magazines, contracts, etc.) in English and Chinese. Achieves up to **90.4% mAP@0.5** , and lightweight features can process over 100 pages per second. - **[Formula Recognition series](https://paddlepaddle.github.io/PaddleX/latest/en/module_usage/tutorials/ocr_modules/formula_recognition.html)**(2 models): PP-FormulaNet-L and S -- supports recognition of 50,000+ LaTeX expressions, handling both printed and handwritten formulas. PP-FormulaNet-L offers **6% higher accuracy** than comparable models; PP-FormulaNet-S is 16x faster while maintaining similar accuracy. - **[Table Structure Recognition series](https://paddlepaddle.github.io/PaddleX/latest/en/module_usage/tutorials/ocr_modules/table_structure_recognition.html)**(2 models): SLANeXt_wired and SLANeXt_wireless -- newly developed models with **6% accuracy improvement** over SLANet_plus in complex table recognition. - **[Table Classification](https://paddlepaddle.github.io/PaddleX/latest/en/module_usage/tutorials/ocr_modules/table_classification.html)**(1 model): PP-LCNet_x1_0_table_cls -- an ultra-lightweight classifier for wired and wireless tables. [Learn more](https://paddlepaddle.github.io/PaddleOCR/latest/en/update.html)
## ⚡ Quick Start ### 1. Run online demo without installation [![AI Studio](https://img.shields.io/badge/PP_OCRv5-AI_Studio-green)](https://aistudio.baidu.com/community/app/91660/webUI) [![AI Studio](https://img.shields.io/badge/PP_StructureV3-AI_Studio-green)](https://aistudio.baidu.com/community/app/518494/webUI) [![AI Studio](https://img.shields.io/badge/PP_ChatOCRv4-AI_Studio-green)](https://aistudio.baidu.com/community/app/518493/webUI) [![HuggingFace](https://img.shields.io/badge/Demo_on_HuggingFace-yellow.svg?logo=data:image/png;base64,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&labelColor=white)](https://huggingface.co/spaces/PaddlePaddle/PaddleOCR) [![ModelScope](https://img.shields.io/badge/Demo_on_ModelScope-purple?logo=data:image/svg+xml;base64,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&labelColor=white)](https://www.modelscope.cn/organization/PaddlePaddle) ### 2. Installation First, please install PaddlePaddle using the official [Installation Guide](https://www.paddlepaddle.org.cn/en/install/quick?docurl=/documentation/docs/en/develop/install/pip/linux-pip_en.html). Then, install the PaddleOCR toolkit. ```bash # 1. Install paddleocr pip install paddleocr # 2. Self-check after installation is complete paddleocr --version ``` ### 3. Domestic AI Accelerators - [Huawei Ascend](https://paddlepaddle.github.io/PaddleOCR/latest/en/index.html) - [KUNLUNXIN](https://paddlepaddle.github.io/PaddleOCR/latest/en/index.html)
Model Ascend KUNLUNXIN More...under development
PP-OCRv5 ✅ ✅
PP-StructureV3 ✅ ✅
PP-ChatOCRv4 ✅ ✅
### 3. Run inference by CLI ```bash # Run PP-OCRv5 inference paddleocr ocr -i https://paddle-model-ecology.bj.bcebos.com/paddlex/imgs/demo_image/general_ocr_002.png # Run PP-StructureV3 inference paddleocr PP-StructureV3 -i https://paddle-model-ecology.bj.bcebos.com/paddlex/imgs/demo_image/pp_structure_v3_demo.png # Run PP-ChatOCRv4 inference paddleocr pp_chatocrv4_doc -i https://paddle-model-ecology.bj.bcebos.com/paddlex/imgs/demo_image/vehicle_certificate-1.png -k 驾驶室准乘人数 --qianfan_api_key your_api_key # Get more information about "paddleocr ocr" paddleocr ocr --help ``` ### 4. Run inference by API #### 4.1 PP-OCRv5 Example ```python from paddleocr import PaddleOCR # Initialize PaddleOCR instance ocr = PaddleOCR() # Run OCR inference on a sample image result = ocr.predict("https://paddle-model-ecology.bj.bcebos.com/paddlex/imgs/demo_image/general_ocr_002.png") # Visualize the results and save the JSON results for res in result: res.print() res.save_to_img("output") res.save_to_json("output") ```
4.2 PP-StructureV3 Example ```python from pathlib import Path from paddleocr import PPStructureV3 pipeline = PPStructureV3() # For Image output = pipeline.predict("https://paddle-model-ecology.bj.bcebos.com/paddlex/imgs/demo_image/pp_structure_v3_demo.png") # Visualize the results and save the JSON results for res in output: res.print() res.save_to_json(save_path="output") res.save_to_markdown(save_path="output") # For PDF File input_file = "./your_pdf_file.pdf" output_path = Path("./output") output = pipeline.predict(input_file) markdown_list = [] markdown_images = [] for res in output: md_info = res.markdown markdown_list.append(md_info) markdown_images.append(md_info.get("markdown_images", {})) markdown_texts = pipeline.concatenate_markdown_pages(markdown_list) mkd_file_path = output_path / f"{Path(input_file).stem}.md" mkd_file_path.parent.mkdir(parents=True, exist_ok=True) with open(mkd_file_path, "w", encoding="utf-8") as f: f.write(markdown_texts) for item in markdown_images: if item: for path, image in item.items(): file_path = output_path / path file_path.parent.mkdir(parents=True, exist_ok=True) image.save(file_path) ```
4.3 PP-ChatOCRv4 Example ```python from paddleocr import PPChatOCRv4Doc chat_bot_config = { "module_name": "chat_bot", "model_name": "ernie-3.5-8k", "base_url": "https://qianfan.baidubce.com/v2", "api_type": "openai", "api_key": "api_key", # your api_key } retriever_config = { "module_name": "retriever", "model_name": "embedding-v1", "base_url": "https://qianfan.baidubce.com/v2", "api_type": "qianfan", "api_key": "api_key", # your api_key } mllm_chat_bot_config = { "module_name": "chat_bot", "model_name": "PP-DocBee", "base_url": "http://127.0.0.1:8080/", # your local mllm service url "api_type": "openai", "api_key": "api_key", # your api_key } pipeline = PPChatOCRv4Doc() visual_predict_res = pipeline.visual_predict( input="https://paddle-model-ecology.bj.bcebos.com/paddlex/imgs/demo_image/vehicle_certificate-1.png", use_doc_orientation_classify=False, use_doc_unwarping=False, use_common_ocr=True, use_seal_recognition=True, use_table_recognition=True, ) visual_info_list = [] for res in visual_predict_res: visual_info_list.append(res["visual_info"]) layout_parsing_result = res["layout_parsing_result"] vector_info = pipeline.build_vector( visual_info_list, flag_save_bytes_vector=True, retriever_config=retriever_config ) mllm_predict_res = pipeline.mllm_pred( input="vehicle_certificate-1.png", key_list=["驾驶室准乘人数"], mllm_chat_bot_config=mllm_chat_bot_config, ) mllm_predict_info = mllm_predict_res["mllm_res"] chat_result = pipeline.chat( key_list=["驾驶室准乘人数"], visual_info=visual_info_list, vector_info=vector_info, mllm_predict_info=mllm_predict_info, chat_bot_config=chat_bot_config, retriever_config=retriever_config, ) print(chat_result) ```
## 😃 Awesome Projects Leveraging PaddleOCR 💗 PaddleOCR wouldn’t be where it is today without its incredible community! A massive 🙌 thank you 🙌 to all our longtime partners, new collaborators, and everyone who’s poured their passion into PaddleOCR — whether we’ve named you or not. Your support fuels our fire! 🔥 | Project Name | Description | | ------------ | ----------- | | [RAGFlow](https://github.com/infiniflow/ragflow) |RAG engine based on deep document understanding.| | [MinerU](https://github.com/opendatalab/MinerU) |Multi-type Document to Markdown Conversion Tool| | [Umi-OCR](https://github.com/hiroi-sora/Umi-OCR) |Free, Open-source, Batch Offline OCR Software.| | [OmniParser](https://github.com/microsoft/OmniParser) |OmniParser: Screen Parsing tool for Pure Vision Based GUI Agent.| | [QAnything](https://github.com/netease-youdao/QAnything) |Question and Answer based on Anything.| | [PDF-Extract-Kit](https://github.com/opendatalab/PDF-Extract-Kit) |A powerful open-source toolkit designed to efficiently extract high-quality content from complex and diverse PDF documents.| | [Dango-Translator](https://github.com/PantsuDango/Dango-Translator) |Recognize text on the screen, translate it and show the translation results in real time.| | [Learn more projects](./awesome_projects.md) | [More projects based on PaddleOCR](./awesome_projects.md)| ## 🔄 Quick Overview of Execution Results

PP-OCRv5 Demo

PP-StructureV3 Demo

## 👩‍👩‍👧‍👦 Community * 👫 Join the [PaddlePaddle Community](https://github.com/PaddlePaddle/community), where you can engage with [paddlepaddle developers](https://www.paddlepaddle.org.cn/developercommunity), researchers, and enthusiasts from around the world. * 🎓 Learn from experts through workshops, tutorials, and Q&A sessions [hosted by the AI Studio](https://aistudio.baidu.com/learn/center). * 🏆 Participate in [hackathons, challenges, and competitions](https://aistudio.baidu.com/competition) to showcase your skills and win exciting prizes. * 📣 Stay updated with the latest news, announcements, and events by following our [Twitter](https://x.com/PaddlePaddle) and [WeChat](https://mp.weixin.qq.com/s/MAdo7fZ6dfeGcCQUtRP2ag). Let’s build the future of AI together! 🚀 ## 📄 License This project is released under [Apache License Version 2.0](./LICENSE).