python extract text from scanned pdf
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title: extracting text from scanned pdfs using python with code example
introduction:
scanned pdfs often pose a challenge when it comes to extracting text, as they are essentially images. however, with the help of optical character recognition (ocr) technology, python provides powerful libraries to convert scanned pdfs into machine-readable text. in this tutorial, we'll explore how to extract text from scanned pdfs using the pytesseract library, which is a python wrapper for google's tesseract-ocr engine.
requirements:
before getting started, make sure you have the following installed:
code example:
now, let's create a python script to extract text from a scanned pdf using pytesseract and pillow.
explanation:
pdf_to_images(pdf_path): this function converts each page of the pdf into a pil image. the convert_from_path function from the pdf2image library is used for this purpose.
extract_text_from_image(image): this function takes a pil image as input and uses pytesseract to perform ocr and extract text from the image.
main(pdf_path): the main function calls the previous two functions, iterating over each page of the pdf, converting it to an image, and extracting text.
if name == "main": this block ensures that the script is only executed if it's the main program, not if it's imported as a module.
usage:
replace "path/to/your/scanned.pdf" with the actual path to your scanned pdf file in the pdf_path variable.
run the script.
conclusion:
by following this tutorial, you can now extract text from scanned pdfs using python. adjust the parameters and settings according to your requirements.
chatgpt
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#name #name #name #name #name
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