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English | 简体中文 | हिन्दी | 日本語 | 한국인 | Pу́сский язы́к

Introduction

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

📣 Recent updates

  • 🔥2023.8.7 Release PaddleOCRrelease/2.7

    • Release PP-OCRv4, support mobile version and server version
      • PP-OCRv4-mobile：When the speed is comparable, the effect of the Chinese scene is improved by 4.5% compared with PP-OCRv3, the English scene is improved by 10%, and the average recognition accuracy of the 80-language multilingual model is increased by more than 8%.
      • PP-OCRv4-server：Release the OCR model with the highest accuracy at present, the detection model accuracy increased by 4.9% in the Chinese and English scenes, and the recognition model accuracy increased by 2% refer quickstart quick use by one line command, At the same time, the whole process of model training, reasoning, and high-performance deployment can also be completed with few code in the General OCR Industry Solution in PaddleX.
    • ReleasePP-ChatOCR, a new scheme for extracting key information of general scenes using PP-OCR model and ERNIE LLM.

  • 🔨2022.11 Add implementation of 4 cutting-edge algorithms：Text Detection DRRG, Text Recognition RFL, Image Super-Resolution Text Telescope，Handwritten Mathematical Expression Recognition CAN

  • 2022.10 release optimized JS version PP-OCRv3 model with 4.3M model size, 8x faster inference time, and a ready-to-use web demo

  • 💥 Live Playback: Introduction to PP-StructureV2 optimization strategy. Scan the QR code below using WeChat, follow the PaddlePaddle official account and fill out the questionnaire to join the WeChat group, get the live link and 20G OCR learning materials (including PDF2Word application, 10 models in vertical scenarios, etc.)

  • 🔥2022.8.24 Release PaddleOCR release/2.6

    • Release PP-StructureV2，with functions and performance fully upgraded, adapted to Chinese scenes, and new support for Layout Recovery and one line command to convert PDF to Word;
    • Layout Analysis optimization: model storage reduced by 95%, while speed increased by 11 times, and the average CPU time-cost is only 41ms;
    • Table Recognition optimization: 3 optimization strategies are designed, and the model accuracy is improved by 6% under comparable time consumption;
    • Key Information Extraction 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%.

  • 🔥2022.8 Release OCR scene application collection

    • 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.

  • 2022.8 Add implementation of 8 cutting-edge algorithms

  • 2022.5.9 Release PaddleOCR release/2.5

    • Release 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: Add the annotation function for table recognition task, key information extraction task and irregular text image.
    • Release interactive e-book "Dive into OCR", covers the cutting-edge theory and code practice of OCR full stack technology.

  • more

🌟 Features

PaddleOCR support a variety of cutting-edge algorithms related to OCR, and developed industrial featured models/solution PP-OCR、 PP-Structure and PP-ChatOCR on this basis, and get through the whole process of data production, model training, compression, inference and deployment.

It is recommended to start with the “quick experience” in the document tutorial

⚡ Quick Experience

📖 Technical exchange and cooperation

  • PaddleX —— A one-stop development platform for practical models of selected industries. Includes the following features:
  • [High-quality algorithm library] Contains 36 selected models in 10 major task areas, enabling the development of model algorithms for different tasks in one platform. More domain models continue to be enriched! PaddleX also provides complete model training and inference benchmark data, allowing developers to choose the most appropriate model based on business needs.
  • [Simple development method] Toolbox/developer dual-mode linkage, no-code + low-code development method, complete the full process of AI development of data, training, verification, and deployment in four steps.
  • [Efficient training deployment] Precipitate the best tuning strategy of Baidu algorithm team to achieve the fastest and optimal convergence of each model. Complete deployment SDK support enables rapid industrial-level deployment across platforms and hardware (service-based deployment capabilities are being improved).
  • [Rich domestic hardware support] In addition to being used on the AIStudio cloud, PaddleX has also precipitated the Windows local side and is enriching the Linux version, Kunlun Core version, Ascend version, and Cambrian version.
  • [Win-win joint creation and co-construction] In addition to conveniently developing AI applications, PaddleX also provides everyone with opportunities to obtain business benefits and explore more business space for enterprises.

PaddleX Official website address：https://www.paddlepaddle.org.cn/paddle/paddleX

Scan the QR code below on WeChat to add operation students, and reply [paddlex], operation students will invite you to join the official communication group for more efficient questions and answers.

[PaddleX] technology exchange group QR code

📚 E-book: Dive Into OCR

👫 Community

  • For international developers, we regard PaddleOCR Discussions as our international community platform. All ideas and questions can be discussed here in English.

  • For Chinese develops, Scan the QR code below with your Wechat, you can join the official technical discussion group. For richer community content, please refer to 中文README, looking forward to your participation.

🛠️ PP-OCR Series Model List（Update on September 8th）

Model introduction Model name Recommended scene Detection model Direction classifier Recognition model
Chinese and English ultra-lightweight PP-OCRv4 model（16.2M） ch_PP-OCRv4_xx Mobile & Server inference model / trained model inference model / trained model inference model / trained model
Chinese and English ultra-lightweight PP-OCRv3 model（16.2M） ch_PP-OCRv3_xx Mobile & Server inference model / trained model inference model / trained model inference model / trained model
English ultra-lightweight PP-OCRv3 model（13.4M） en_PP-OCRv3_xx Mobile & Server inference model / trained model inference model / trained model inference model / trained model

📖 Tutorials

👀 Visualization more

PP-OCRv3 Chinese model
PP-OCRv3 English model
PP-OCRv3 Multilingual model
PP-StructureV2
  • layout analysis + table recognition
  • SER (Semantic entity recognition)
  • RE (Relation Extraction)

🇺🇳 Guideline for New Language Requests

If you want to request a new language support, a PR with 1 following files are needed：

  1. In folder ppocr/utils/dict, it is necessary to submit the dict text to this path and name it with {language}_dict.txt that contains a list of all characters. Please see the format example from other files in that folder.

If your language has unique elements, please tell me in advance within any way, such as useful links, wikipedia and so on.

More details, please refer to Multilingual OCR Development Plan.

📄 License

This project is released under Apache 2.0 license