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"text": [
"Defaulting to user installation because normal site-packages is not writeableNote: you may need to restart the kernel to use updated packages.\n",
"\n",
"Collecting pdf2image\n",
" Obtaining dependency information for pdf2image from https://files.pythonhosted.org/packages/62/33/61766ae033518957f877ab246f87ca30a85b778ebaad65b7f74fa7e52988/pdf2image-1.17.0-py3-none-any.whl.metadata\n",
" Downloading pdf2image-1.17.0-py3-none-any.whl.metadata (6.2 kB)\n",
"Requirement already satisfied: pillow in c:\\programdata\\anaconda3\\lib\\site-packages (from pdf2image) (9.4.0)\n",
"Downloading pdf2image-1.17.0-py3-none-any.whl (11 kB)\n",
"Installing collected packages: pdf2image\n",
"Successfully installed pdf2image-1.17.0\n"
]
},
{
"ename": "ModuleNotFoundError",
"evalue": "No module named 'pytesseract'",
"output_type": "error",
"traceback": [
"\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[1;31mModuleNotFoundError\u001b[0m Traceback (most recent call last)",
"Cell \u001b[1;32mIn[3], line 5\u001b[0m\n\u001b[0;32m 1\u001b[0m get_ipython()\u001b[38;5;241m.\u001b[39mrun_line_magic(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mpip\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124minstall pdf2image\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[0;32m 4\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mpdf2image\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m convert_from_path\n\u001b[1;32m----> 5\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mpytesseract\u001b[39;00m\n\u001b[0;32m 7\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mextract_text_from_image_pdf\u001b[39m(pdf_file):\n\u001b[0;32m 8\u001b[0m \u001b[38;5;250m \u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[0;32m 9\u001b[0m \u001b[38;5;124;03m Extract text from image-based PDF using OCR.\u001b[39;00m\n\u001b[0;32m 10\u001b[0m \u001b[38;5;124;03m \"\"\"\u001b[39;00m\n",
"\u001b[1;31mModuleNotFoundError\u001b[0m: No module named 'pytesseract'"
]
}
],
"source": [
"%pip install pdf2image\n",
"\n",
"\n",
"from pdf2image import convert_from_path\n",
"import pytesseract\n",
"\n",
"def extract_text_from_image_pdf(pdf_file):\n",
" \"\"\"\n",
" Extract text from image-based PDF using OCR.\n",
" \"\"\"\n",
" pages = convert_from_path(pdf_file)\n",
" text = []\n",
" for page in pages:\n",
" text.append(pytesseract.image_to_string(page, lang='hin+ben'))\n",
" return text\n",
"\n",
"def read_write_excel(pdf_file1, pdf_file2, output_file):\n",
" \"\"\"\n",
" Reads two PDF files, extracts their text, and writes their contents line by line\n",
" into two separate columns of an Excel file.\n",
"\n",
" Args:\n",
" pdf_file1 (str): Path to the first PDF file.\n",
" pdf_file2 (str): Path to the second PDF file.\n",
" output_file (str): Path to the output Excel file.\n",
" \"\"\"\n",
" # Extract text from PDF files\n",
" text1 = extract_text_from_pdf(pdf_file1)\n",
" text2 = extract_text_from_pdf(pdf_file2)\n",
"\n",
" # Open the Excel workbook\n",
" workbook = openpyxl.Workbook()\n",
" worksheet = workbook.active\n",
"\n",
" # Set column titles (optional)\n",
" worksheet.cell(row=1, column=1).value = \"Hindi\"\n",
" worksheet.cell(row=1, column=2).value = \"Bengali\"\n",
"\n",
" # Write data to Excel\n",
" row = 2\n",
" for line1, line2 in zip(text1, text2):\n",
" worksheet.cell(row=row, column=1).value = line1.strip()\n",
" worksheet.cell(row=row, column=2).value = line2.strip()\n",
" row += 1\n",
"\n",
" # Save the workbook\n",
" workbook.save(output_file)\n",
" print(f\"Excel file created: {output_file}\")\n",
"\n",
"# Example usage\n",
"pdf_file1 = \"atithi-hin.pdf\"\n",
"pdf_file2 = \"atithi-ben.pdf\"\n",
"output_file = \"Atithi-hi-bn.xlsx\"\n",
"\n",
"read_write_excel(pdf_file1, pdf_file2, output_file)\n"
]
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{
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