from reportlab.pdfgen import canvas from reportlab.lib.pagesizes import letter from reportlab.lib.styles import ParagraphStyle from reportlab.lib.enums import TA_LEFT
Here's an example code snippet that demonstrates how to extract text from a Khmer PDF using PyPDF2:
# Write Khmer text text = 'សួស្តី ខ្មែរ' # Hello Khmer c.setFont(font_name, font_size) c.drawString(10, 10, text)
: This paper addresses word-level Khmer writer verification—determining if two samples were written by the same person. python khmer pdf verified
Method B: The WeasyPrint Approach (Recommended for Complex Layouts)
"Verification" typically refers to two things: ensuring the file is a valid PDF and checking digital signatures. Checking File Validity
To fix this, you must use a rendering engine that supports or utilize advanced command-line wrappers. Part 1: Verified PDF Generation with Khmer Script from reportlab
This method is widely used in forensics and automated security pipelines.
Do you need help validating from a specific certifying authority?
: Avoid raw canvas operations. Use WeasyPrint or pdfkit (wkhtmltopdf wrapper) which naturally handles HarfBuzz/Pango text shaping. 3. Scrambled Text on Extraction Part 1: Verified PDF Generation with Khmer Script
Khmer is a complex script where characters reorder or stack (subscripts). Standard PDF libraries like the original
from pypdf import PdfReader