pytesseract安装与使用

### Pytesseract Installation and Usage Guide for OCR in Python For installing `pytesseract`, the command provided is suitable for environments where Python's package manager, pip, requires elevated privileges: ```bash sudo pip install pytesseract ``` This ensures that the necessary libraries are installed system-wide with administrative permissions[^1]. However, it is recommended to use virtual environments or user-specific installations when possible to avoid potential conflicts between packages. To perform Optical Character Recognition (OCR), Tesseract must also be installed on the operating system. For Ubuntu versions such as 14.04, 16.04, 17.04, and 17.10, specific instructions exist for setting up Tesseract 4.0. Once both `pytesseract` and Tesseract itself have been successfully set up, performing OCR operations within Python scripts becomes straightforward. Below is an example demonstrating how one might read text from an image file using this library: ```python import pytesseract from PIL import Image def ocr_from_image(image_path): """ Extracts text content from given image path. Args: image_path (str): Path to input image containing text Returns: str: Recognized textual information extracted via OCR """ img = Image.open(image_path) result = pytesseract.image_to_string(img) return result if __name__ == "__main__": sample_image = 'path/to/sample/image.png' recognized_text = ocr_from_image(sample_image) print(recognized_text) ``` In addition to basic functionality like extracting plain text, more advanced features can be utilized by configuring parameters passed into methods offered by `pytesseract`. These include specifying languages (`lang`) or even customizing page segmentation modes (`psm`) depending upon requirements.