semvec/pypi-packages huggingface dataset:
pytextractor 2.1.0
text extractor from images
License: MIT

# pytextractor
python ocr using tesseract with EAST opencv text detector

Uses the [EAST opencv detector](https://www.pyimagesearch.com/2018/08/20/opencv-text-detection-east-text-detector/) with [pytesseract](https://github.com/madmaze/pytesseract) to extract text(default) or numbers from images.

### Usage main
```
usage: text_detector [-h] [--east EAST] [-c CONFIDENCE] [-w WIDTH] [-e HEIGHT] [-d] [-n] [-p PERCENTAGE]
                     [-b MIN_BOXES] [-i MAX_ITERATIONS]
                     images [images ...]

Text/Number extractor from image

positional arguments:
  images                path(s) to input image(s)

options:
  -h, --help            show this help message and exit
  --east EAST           path to input EAST text detector
  -c CONFIDENCE, --confidence CONFIDENCE
                        minimum probability required to inspect a region
  -w WIDTH, --width WIDTH
                        resized image width (should be multiple of 32)
  -e HEIGHT, --height HEIGHT
                        resized image height (should be multiple of 32)
  -d, --display         Display bounding boxes
  -n, --numbers         Detect only numbers
  -p PERCENTAGE, --percentage PERCENTAGE
                        Expand/shrink detected bound box
  -b MIN_BOXES, --min-boxes MIN_BOXES
                        minimum number of detected boxes to return
  -i MAX_ITERATIONS, --max-iterations MAX_ITERATIONS

```

### Installation & usage

```
brew install tesseract
pipx install pytextractor
text_detector
```

### Usage lib

```
from pytextractor import pytextractor

extractor = pytextractor.PyTextractor()
```

### Running tests

```
brew install tesseract
python -mvenv .venv --prompt .
. ./.venv/bin/activate
pip install ".[dev]"
pytest -s tests
```