blazordevlab/paddleocr-api repository overview

⁠PaddleOCRFastAPI

中文⁠

A simple way to deploy PaddleOCR based on FastAPI.

⁠Support Version

⁠Features

• Local path image recognition
• Base64 data recognition
• Upload file recognition

⁠Deployment Methods

⁠Deploy Directly

1. Copy the project to the deployment path

   git clone https://github.com/neozhu/PaddleOCRFastAPI.git
   

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   The master branch is the most recent version of PaddleOCR supported by the project. To install a specific version, clone the branch with the corresponding version number.

2. (Optional) Create new virtual environment to avoid dependency conflicts

3. Install required dependencies

   pip3 install -r requirements.txt
   

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4. Run FastAPI

   uvicorn main:app --host 0.0.0.0
   

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⁠Docker Deployment

Test completed in Centos 7, Ubuntu 20.04, Ubuntu 22.04, Windows 10, Windows 11, requires Docker to be installed.

1. Copy the project to the deployment path

   git clone https://github.com/neozhu/PaddleOCRFastAPI.git
   

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   The master branch is the most recent version of PaddleOCR supported by the project. To install a specific version, clone the branch with the corresponding version number.

2. Building a Docker Image

   cd PaddleOCRFastAPI
   # 手工下载模型，避免程序第一次运行时自动下载，实现完全离线，加快启动速度
   cd pp-ocrv4/ && sh download_det_cls_rec.sh
   
   # 返回Dockfile所在目录，开始build
   cd ..
   # 使用宿主机网络
   # 可直接使用宿主机上的代理设置，例如在build时，用宿主机上的代理
   # docker build -t paddleocrfastapi:latest --network host --build-arg HTTP_PROXY=http://127.0.0.1:8888 --build-arg HTTPS_PROXY=http://127.0.0.1:8888 .
   docker build -t paddleocrfastapi:latest --network host .
   

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3. Edit docker-compose.yml

   version: "3"
   
   services:
   
     paddleocrfastapi:
       container_name: paddleocrfastapi # Custom Container Name
       image: paddleocrfastapi:lastest # Customized Image Name & Label in Step 2
       environment:
         - TZ=Asia/Hong_Kong
         - OCR_LANGUAGE=ch # support 80 languages. refer to https://github.com/Mushroomcat9998/PaddleOCR/blob/main/doc/doc_en/multi_languages_en.md#language_abbreviations
       ports:
        - "8000:8000" # Customize the service exposure port, 8000 is the default FastAPI port, do not modify
       restart: unless-stopped
   

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4. Create the Docker container and run

   docker compose up -d
   

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5. Swagger Page at localhost:<port>/docs

⁠deploy and push your local code as blazordevlab/paddleocrapi:latest to Docker Hub

1. Login to Docker Hub

docker login

1. Build the Docker Image

docker build -t blazordevlab/paddleocrapi:latest .

1. Push the Image to Docker Hub

docker push blazordevlab/paddleocrapi:latest

⁠Change language

1. Clone this repo to localhost.

2. Edit routers/ocr.py, modify the parameter "lang":

   ocr = PaddleOCR(use_angle_cls=True, lang="ch")
   

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   Before modify, read the supported language list⁠.

3. Rebuild the docker image, or run the main.py directly.

⁠Screenshots

API Docs: /docs

⁠Todo

• support ppocr v4
• GPU mode
• Image url recognition

⁠License

PaddleOCRFastAPI is licensed under the MIT license. Refer to LICENSE⁠ for more information.