PaddleOCRFastAPI

中文

A simple way to deploy PaddleOCR based on FastAPI.

Support Version

PaddleOCR	Branch
v2.5	paddleocr-v2.5
v2.7	paddleocr-v2.7

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/cgcel/PaddleOCRFastAPI.git

   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

4. Run FastAPI

   uvicorn main:app --host 0.0.0.0

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/cgcel/PaddleOCRFastAPI.git

   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

   docker build -t paddleocrfastapi:latest .

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

4. Create the Docker container and run

   docker compose up -d

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

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")

   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.