PdfOCRer is a python script that runs OCR on an input PDF (possibly unsearchable) to produce a searchable PDF.
It uses Paddle OCR as the OCR engine. Compared to the famous OCR engine Tesseract, Paddle OCR shows better results for Chinese language in my experiments. However, it cannot seem to generate searchable PDF from its OCR result, whereas Tesseract can. If that's what you need, PdfOCRer can help.
PdfOCRer processes a PDF in four steps:
- Step 1: convert each pdf page into an image (default format PNG).
- Step 2: run OCR on each image to recognize text and bounding boxes.
- Step 3: add text/bbox on image as hidden layer to make 1-page PDF.
- Step 4: merge all 1-page pdfs to output the result searchable pdf.
The script is tested in Python 3.10. It should work as long as the dependencies work.
-
Paddle OCR and PaddlePaddle: follow its instruction here.
-
PyPDF2, Pillow, ReportLab:
pip install pillow PyPDF2 reportlab -
Ghostscript: used to convert pdf to images, called from the script as subprocess.
-- on Linux/Ubuntu:
apt-get install ghostscript,-- on MacOS machine:
brew install ghostscript,-- on Windows machine: download 32/64 bit exe, run it to install.
Simply run in command line:
pip install pdfocrer
It will install all dependencies but Ghostscript.
To use the script in command line, run it like following:
python pdf_ocrer.py -i <input_pdf> -o <output_pdf> -l <language> -t <temp_dir> [--debug]
Example:
python pdf_ocrer.py -i ../example/scanned_page.pdf -o ../example/scanned_page.ocr.pdf -t ../temp -l ch --debug
To use it in python code, do something like:
import os, sys
from pdfocrer.pdf_ocrer import PdfOCRer
input = './example/scanned_page.pdf'
output = './example/scanned_page.ocr.pdf'
isDebug = True
tempDir = './temp'
language = 'ch' # or 'en', 'korean', 'japan', 'latin', 'arabic', etc.
pp = PdfOCRer(isDebug, tempDir)
pp.process_pdf(input, output, language)
Thanks to the authors of all the depencenies libraries, the Python and Open Source Community.