Example (using reportlab + reportlab.pdfbase.ttfonts):
from reportlab.pdfbase import pdfmetrics
from reportlab.pdfbase.ttfonts import TTFont
from reportlab.pdfgen import canvas
font_path = "NotoSansKhmer-Regular.ttf"
pdfmetrics.registerFont(TTFont("NotoKhmer", font_path))
c = canvas.Canvas("khmer_sample.pdf")
c.setFont("NotoKhmer", 14)
c.drawString(72, 750, "សួស្តី ពិភពលោក") # "Hello world" in Khmer
c.save()
Alternative: fpdf2 supports TTF embedding similarly. python khmer pdf verified
class KhmerPDFValidator:
def __init__(self, pdf_path, use_ocr=False):
self.pdf_path = pdf_path
self.use_ocr = use_ocr
self.raw_text = ""
self.verified_text = ""
def extract(self):
if self.use_ocr:
self.raw_text = ocr_khmer_pdf(self.pdf_path)
else:
self.raw_text = extract_khmer_from_pdf(self.pdf_path)
return self
def verify(self):
validation = validate_khmer_text(self.raw_text)
if validation['has_isolated_diacritics']:
# Attempt repair: normalize and filter
self.verified_text = validation['normalized_text']
else:
self.verified_text = self.raw_text
return self
def segment(self):
return segment_khmer_words(self.verified_text)
def report(self):
return
'original_length': len(self.raw_text),
'verified_length': len(self.verified_text),
'valid_khmer_ratio': len([c for c in self.verified_text if '\u1780' <= c <= '\u17FF']) / len(self.verified_text) if self.verified_text else 0
As a Python learner, you can also aggregate verified Khmer tutorials into your own custom PDF. Here’s an ethical script that scrapes only licensed, open-source Khmer Python content and compiles it with full attribution: Example (using reportlab + reportlab
# verify_and_build_khmer_pdf.py
# This script downloads only verified, openly licensed Khmer Python articles
# and compiles them into a trusted PDF.
import requests
from fpdf import FPDF
from bs4 import BeautifulSoup
import hashlib Alternative: fpdf2 supports TTF embedding similarly