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app.py
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import streamlit as st
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import pytesseract
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from PIL import Image
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import docx
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import pdf2image
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# Set Tesseract path if not set already
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pytesseract.pytesseract.tesseract_cmd = r'C:\Program Files\Tesseract-OCR\tesseract.exe'
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def extract_text_from_image_pdf(pdf_file):
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"""Extracts text from a PDF by converting it to images and performing OCR."""
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# Read the PDF file
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with open(pdf_file, 'rb') as f:
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pdf_bytes = f.read()
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# Extract images from the PDF
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images = pdf2image.convert_from_bytes(pdf_bytes)
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# Perform OCR on each image and combine the text
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extracted_text = ''
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for image in images:
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text = pytesseract.image_to_string(image)
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extracted_text += text + '\n' # Add newline for better readability
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return extracted_text
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def main():
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"""Streamlit app for converting PDF images to text."""
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# Title and description
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st.title("PDF to Text Converter")
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st.subheader("Convert your PDF images to editable text documents.")
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# Upload PDF file
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uploaded_file = st.file_uploader("Choose a PDF file to convert:", type="pdf")
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if uploaded_file is not None:
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# Extract text from the PDF
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extracted_text = extract_text_from_image_pdf(uploaded_file.name)
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# Display extracted text
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st.success("Text extracted from PDF:")
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st.write(extracted_text)
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# Download option (optional)
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if st.button("Download text as .txt file"):
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with open("extracted_text.txt", "w") as f:
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f.write(extracted_text)
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st.success("Text downloaded!")
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if __name__ == "__main__":
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main()
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