English | [简体中文](README_ch.md)

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## Introduction

PaddleOCR aims to create multilingual, awesome, leading, and practical OCR tools that help users train better models and apply them into practice.

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    <img src="./doc/imgs_results/PP-OCRv3/en/en_4.png" width="800">
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    <img src="./doc/imgs_results/ch_ppocr_mobile_v2.0/00006737.jpg" width="800">
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## 📣 Recent updates
- **🔥2022.8.24 Release PaddleOCR [release/2.6](https://github.com/PaddlePaddle/PaddleOCR/tree/release/2.6)**
  - Release [PP-Structurev2](./ppstructure/)，with functions and performance fully upgraded, adapted to Chinese scenes, and new support for [Layout Recovery](./ppstructure/recovery) and **one line command to convert PDF to Word**;
  - [Layout Analysis](./ppstructure/layout) optimization: model storage reduced by 95%, while speed increased by 11 times, and the average CPU time-cost is only 41ms;
  - [Table Recognition](./ppstructure/table) optimization: 3 optimization strategies are designed, and the model accuracy is improved by 6% under comparable time consumption;
  - [Key Information Extraction](./ppstructure/kie) optimization：a visual-independent model structure is designed, the accuracy of semantic entity recognition is increased by 2.8%, and the accuracy of relation extraction is increased by 9.1%.
  
- **🔥2022.7 Release [OCR scene application collection](./applications/README_en.md)**
    - Release **9 vertical models** such as digital tube, LCD screen, license plate, handwriting recognition model, high-precision SVTR model, etc, covering the main OCR vertical applications in general, manufacturing, finance, and transportation industries.

- **🔥2022.5.9 Release PaddleOCR [release/2.5](https://github.com/PaddlePaddle/PaddleOCR/tree/release/2.5)**
    - Release [PP-OCRv3](./doc/doc_en/ppocr_introduction_en.md#pp-ocrv3): With comparable speed, the effect of Chinese scene is further improved by 5% compared with PP-OCRv2, the effect of English scene is improved by 11%, and the average recognition accuracy of 80 language multilingual models is improved by more than 5%.
    - Release [PPOCRLabelv2](./PPOCRLabel): Add the annotation function for table recognition task, key information extraction task and irregular text image.
    - Release interactive e-book [*"Dive into OCR"*](./doc/doc_en/ocr_book_en.md), covers the cutting-edge theory and code practice of OCR full stack technology.

- [more](./doc/doc_en/update_en.md)


## 🌟 Features 

PaddleOCR support a variety of cutting-edge algorithms related to OCR, and developed industrial featured models/solution [PP-OCR](./doc/doc_en/ppocr_introduction_en.md) and [PP-Structure](./ppstructure/README.md) on this basis, and get through the whole process of data production, model training, compression, inference and deployment.

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    <img src="https://user-images.githubusercontent.com/25809855/186171245-40abc4d7-904f-4949-ade1-250f86ed3a90.png">
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## ⚡ Quick Experience

```bash
pip3 install paddlepaddle # for gpu user please install paddlepaddle-gpu
pip3 install paddleocr
paddleocr --image_dir ./doc/imgs_en/254.jpg --lang=en # change for i18n abbr
```

> If you don't have Python environment, please follow [Environment Preparation](./doc/doc_en/environment_en.md). We recommend you starting with [Tutorials](#Tutorials).

<a name="book"></a>

## 📚 E-book: *Dive Into OCR*
- [Dive Into OCR ](./doc/doc_en/ocr_book_en.md)

<a name="Community"></a>

## 👫 Community

For international developers, we regard [PaddleOCR Discussions](https://github.com/PaddlePaddle/PaddleOCR/discussions) as our international community platform. All ideas and questions can be discussed here in English.

<a name="Supported-Chinese-model-list"></a>

## 🛠️ PP-OCR Series Model List

| Model introduction                                           | Model name                   | Recommended scene | Detection model                                              | Direction classifier                                         | Recognition model                                            |
| ------------------------------------------------------------ | ---------------------------- | ----------------- | ------------------------------------------------------------ | ------------------------------------------------------------ | ------------------------------------------------------------ |
| i18n models | I18n model | Mobile & Server |  |  |  |
| English ultra-lightweight PP-OCRv3 model（13.4M） | en_PP-OCRv3_xx | Mobile & Server | [inference model](https://paddleocr.bj.bcebos.com/PP-OCRv3/english/en_PP-OCRv3_det_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/PP-OCRv3/english/en_PP-OCRv3_det_distill_train.tar) | [inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_train.tar) | [inference model](https://paddleocr.bj.bcebos.com/PP-OCRv3/english/en_PP-OCRv3_rec_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/PP-OCRv3/english/en_PP-OCRv3_rec_train.tar) |
| Chinese and English ultra-lightweight PP-OCRv3 model（16.2M）     | ch_PP-OCRv3_xx          | Mobile & Server | [inference model](https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/ch_PP-OCRv3_det_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/ch_PP-OCRv3_det_distill_train.tar) | [inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_train.tar) | [inference model](https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/ch_PP-OCRv3_rec_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/ch_PP-OCRv3_rec_train.tar) |


- For more model downloads (including multiple languages), please refer to [PP-OCR series model downloads](./doc/doc_en/models_list_en.md).
- For a new language request, please refer to [Guideline for new language_requests](#language_requests).
- For structural document analysis models, please refer to [PP-Structure models](./ppstructure/docs/models_list_en.md).

<a name="Tutorials"></a>

## 📖 Tutorials

- [Environment Preparation](./doc/doc_en/environment_en.md)
- [PP-OCR 🔥](./doc/doc_en/ppocr_introduction_en.md)
    - [Quick Start](./doc/doc_en/quickstart_en.md)
    - [Model Zoo](./doc/doc_en/models_en.md)
    - [Model training](./doc/doc_en/training_en.md)
        - [Text Detection](./doc/doc_en/detection_en.md)
        - [Text Recognition](./doc/doc_en/recognition_en.md)
        - [Text Direction Classification](./doc/doc_en/angle_class_en.md)
    - Model Compression
        - [Model Quantization](./deploy/slim/quantization/README_en.md)
        - [Model Pruning](./deploy/slim/prune/README_en.md)
        - [Knowledge Distillation](./doc/doc_en/knowledge_distillation_en.md)
    - [Inference and Deployment](./deploy/README.md)
        - [Python Inference](./doc/doc_en/inference_ppocr_en.md)
        - [C++ Inference](./deploy/cpp_infer/readme.md)
        - [Serving](./deploy/pdserving/README.md)
        - [Mobile](./deploy/lite/readme.md)
        - [Paddle2ONNX](./deploy/paddle2onnx/readme.md)
        - [PaddleCloud](./deploy/paddlecloud/README.md)
        - [Benchmark](./doc/doc_en/benchmark_en.md)  
- [PP-Structure 🔥](./ppstructure/README.md)
    - [Quick Start](./ppstructure/docs/quickstart_en.md)
    - [Model Zoo](./ppstructure/docs/models_list_en.md)
    - [Model training](./doc/doc_en/training_en.md)  
        - [Layout Analysis](./ppstructure/layout/README.md)
        - [Table Recognition](./ppstructure/table/README.md)
        - [Key Information Extraction](./ppstructure/kie/README.md)
    - [Inference and Deployment](./deploy/README.md)
        - [Python Inference](./ppstructure/docs/inference_en.md)
        - [C++ Inference](./deploy/cpp_infer/readme.md)
        - [Serving](./deploy/hubserving/readme_en.md)
- [Academic Algorithms](./doc/doc_en/algorithm_overview_en.md)
    - [Text detection](./doc/doc_en/algorithm_overview_en.md)
    - [Text recognition](./doc/doc_en/algorithm_overview_en.md)
    - [End-to-end OCR](./doc/doc_en/algorithm_overview_en.md)
    - [Table Recognition](./doc/doc_en/algorithm_overview_en.md)
    - [Key Information Extraction](./doc/doc_en/algorithm_overview_en.md)    
    - [Add New Algorithms to PaddleOCR](./doc/doc_en/add_new_algorithm_en.md)
- Data Annotation and Synthesis
    - [Semi-automatic Annotation Tool: PPOCRLabel](./PPOCRLabel/README.md)
    - [Data Synthesis Tool: Style-Text](./StyleText/README.md)
    - [Other Data Annotation Tools](./doc/doc_en/data_annotation_en.md)
    - [Other Data Synthesis Tools](./doc/doc_en/data_synthesis_en.md)
- Datasets
    - [General OCR Datasets(Chinese/English)](doc/doc_en/dataset/datasets_en.md)
    - [HandWritten_OCR_Datasets(Chinese)](doc/doc_en/dataset/handwritten_datasets_en.md)
    - [Various OCR Datasets(multilingual)](doc/doc_en/dataset/vertical_and_multilingual_datasets_en.md)
    - [Layout Analysis](doc/doc_en/dataset/layout_datasets_en.md)
    - [Table Recognition](doc/doc_en/dataset/table_datasets_en.md)
    - [Key Information Extraction](doc/doc_en/dataset/kie_datasets_en.md)
- [Code Structure](./doc/doc_en/tree_en.md)
- [Visualization](#Visualization)
- [Community](#Community)
- [New language requests](#language_requests)
- [FAQ](./doc/doc_en/FAQ_en.md)
- [References](./doc/doc_en/reference_en.md)
- [License](#LICENSE)

<a name="language_requests"></a>

## 🇺🇳 Guideline for New Language Requests

If you want to **request a new language model**, please vote in [Vote for Multilingual Model Upgrades](https://github.com/PaddlePaddle/PaddleOCR/discussions/7253). We will upgrade model according to the result regularly. **Invite your friends to vote together!**

If you need to **train a new language model** based on your scenario, the tutorial in [Multilingual Model Training Project](https://github.com/PaddlePaddle/PaddleOCR/discussions/7252) will help you prepare dataset and show you the whole process step by step.

The original  [Multilingual OCR Development Plan](https://github.com/PaddlePaddle/PaddleOCR/issues/1048) still shows you a lot of useful corpus and dictionaries

<a name="Visualization"></a>

## 👀 Visualization [more](./doc/doc_en/visualization_en.md)

<details open>
<summary>PP-OCRv3 Multilingual model</summary>
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    <img src="doc/imgs_results/PP-OCRv3/multi_lang/japan_2.jpg" width="800">
    <img src="doc/imgs_results/PP-OCRv3/multi_lang/korean_1.jpg" width="800">
</div>
</details>

<details open>
<summary>PP-OCRv3 English model</summary>
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    <img src="doc/imgs_results/PP-OCRv3/en/en_1.png" width="800">
    <img src="doc/imgs_results/PP-OCRv3/en/en_2.png" width="800">
</div>
</details>
<details open>
<summary>PP-OCRv3 Chinese model</summary>
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    <img src="doc/imgs_results/PP-OCRv3/ch/PP-OCRv3-pic001.jpg" width="800">
    <img src="doc/imgs_results/PP-OCRv3/ch/PP-OCRv3-pic002.jpg" width="800">
    <img src="doc/imgs_results/PP-OCRv3/ch/PP-OCRv3-pic003.jpg" width="800">
</div>
</details>

<details open>
<summary>PP-Structurev2</summary>
1. layout analysis + table recognition  
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    <img src="./ppstructure/docs/table/ppstructure.GIF" width="800">
</div>
2. SER (Semantic entity recognition)
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    <img src="https://user-images.githubusercontent.com/25809855/186094456-01a1dd11-1433-4437-9ab2-6480ac94ec0a.png" width="600">
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    <img src="https://user-images.githubusercontent.com/14270174/185310636-6ce02f7c-790d-479f-b163-ea97a5a04808.jpg" width="600">
</div>
<div align="center">
    <img src="https://user-images.githubusercontent.com/14270174/185539517-ccf2372a-f026-4a7c-ad28-c741c770f60a.png" width="600">
</div>
3. RE (Relation Extraction)
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    <img src="https://user-images.githubusercontent.com/25809855/186094813-3a8e16cc-42e5-4982-b9f4-0134dfb5688d.png" width="600">
</div>   
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    <img src="https://user-images.githubusercontent.com/14270174/185393805-c67ff571-cf7e-4217-a4b0-8b396c4f22bb.jpg" width="600">
</div>
<div align="center">
    <img src="https://user-images.githubusercontent.com/14270174/185540080-0431e006-9235-4b6d-b63d-0b3c6e1de48f.jpg" width="600">
</div>
</details>
<a name="LICENSE"></a>

## 📄 License
This project is released under <a href="https://github.com/PaddlePaddle/PaddleOCR/blob/master/LICENSE">Apache 2.0 license</a>