python ocr pdf kirinote

Опубликовано: 03 Июль 2024
на канале: CodeWrite

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sure! here is an informative tutorial on how to perform ocr (optical character recognition) on pdf files using the `pytesseract` library in python.

1. **installation**:
first, you need to install the `pytesseract` library and `pillow` library which is a fork of the python imaging library (pil) that adds support for opening, manipulating, and saving many different image file formats.

you can install these libraries using `pip`:

2. **install tesseract-ocr**:
tesseract is an ocr engine that will be used by `pytesseract` to recognize text from images. you can download and install it from the official github repository: https://github.com/tesseract-ocr/tess...

3. **perform ocr on pdf**:
here is an example code to perform ocr on a pdf file using `pytesseract` and `pypdf2` libraries:

in this code, we first read the pdf file using `pypdf2` library to get the number of pages. then, we use `pdf2image` to convert each page of the pdf into an image. finally, we use `pytesseract` to extract text from each image.

make sure to replace `'your_pdf_file.pdf'` with the actual path to your pdf file.

4. **note**:
the accuracy of ocr may vary depending on the quality of the pdf file and the clarity of the text.
tesseract may not recognize handwritten text or text in language other than english by default. you can specify the language using the `lang` parameter in `image_to_string` method.

i hope this tutorial helps you to perform ocr on pdf files using python! let me know if you have any questions.

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