A specialized OCR system for processing book spines, built upon the capabilities of both EasyOCR and Tesseract. This project is an independent fork and adaptation of BetterOCR by Junho Yeo.
- OCR Combination: Utilizes the power of both EasyOCR and Tesseract to extract text from images.
- Specialized for Book Spines: Optimized for the unique challenges posed by text on book spines.
- FastAPI Backend: Provides a robust and efficient backend server for processing OCR requests via a RESTful API.
Install packages:
pip install -r requirements.txt
Create a tessdata folder with the trained data file:
wget https://github.com/tesseract-ocr/tessdata/raw/main/eng.traineddata -O ./tessdata/eng.traineddata
After setting up, you can start the FastAPI server by running:
uvicorn main:app
The examples/ directory contains sample images that you can use to test the system.
Using curl:
curl -X 'POST' 'http://127.0.0.1:8000/ocr/' \
-H 'accept: application/json' \
-F 'image=@examples/sample.jpg' \
-F 'lang=en'
License This project is licensed under the MIT License. See the LICENSE file for more details.