I've found some guides online on how to make a PDF searchable if it was scanned. However, I'm currently struggling with figuring out how to do it for a multipage PDF.
My code takes multipaged PDFs, converts each page into a JPG, runs OCR on each page and then converts it into a PDF. However, only the last page is returned.
import pytesseract
from pdf2image import convert_from_path
pytesseract.pytesseract.tesseract_cmd = 'directory'
TESSDATA_PREFIX = 'directory'
tessdata_dir_config = '--tessdata-dir directory'
# Path of the pdf
PDF_file = r"pdf directory"
def pdf_text():
# Store all the pages of the PDF in a variable
pages = convert_from_path(PDF_file, 500)
image_counter = 1
for page in pages:
# Declare file names
filename = "page_"+str(image_counter)+".jpg"
# Save the image of the page in system
page.save(filename, 'JPEG')
# Increment the counter to update filename
image_counter = image_counter + 1
# Variable to get count of total number of pages
filelimit = image_counter-1
outfile = "out_text.pdf"
# Open the file in append mode so that all contents of all images are added to the same file
f = open(outfile, "a")
# Iterate from 1 to total number of pages
for i in range(1, filelimit + 1):
filename = "page_"+str(i)+".jpg"
# Recognize the text as string in image using pytesseract
result = pytesseract.image_to_pdf_or_hocr(filename, lang="eng", config=tessdata_dir_config)
f = open(outfile, "w+b")
f.write(bytearray(result))
f.close()
pdf_text()
How can I run this for all pages and output one merged PDF?