To create a Khmer PDF with ReportLab, you must register a specific Khmer font, such as "Khmer OS," "Battambang," or "Noto Sans Khmer".
from reportlab.lib.pagesizes import letter from reportlab.pdfgen import canvas from reportlab.pdfbase import pdfmetrics from reportlab.pdfbase.ttfonts import TTFont def generate_khmer_pdf(output_filename, font_path): # 1. Register the verified Khmer font try: pdfmetrics.registerFont(TTFont('KhmerOS', font_path)) except Exception as e: print(f"Error registering font: e") return # 2. Setup the canvas c = canvas.Canvas(output_filename, pagesize=letter) # 3. Define text and coordinates # Translation: "Hello Cambodia! This is a test of Khmer text in a PDF." khmer_text = "សួស្តីប្រទេសកម្ពុជា! នេះគឺជាការសាកល្បងអត្ថបទខ្មែរនៅក្នុង PDF។" c.setFont('KhmerOS', 16) c.drawString(100, 700, khmer_text) # 4. Save the document c.save() print(f"Successfully generated output_filename") # Usage # Download 'KhmerOS_battambang.ttf' or similar before running generate_khmer_pdf("khmer_verified_sample.pdf", "KhmerOS_battambang.ttf") Use code with caution. 2. Extracting and Verifying Khmer Text from PDFs
To help refine this implementation for your project, please let me know: python khmer pdf verified
: The khmer Documentation is available as a PDF and includes instructions for installation and environment setup using virtualenv .
import hashlib
Do you require a pure or an integration into a web framework like Django/FastAPI ?
# 1. Calculate and Display the SHA-256 Hash print("\n--- Hash Calculation ---") print("SHA-256 (the unique fingerprint for this file):") current_hash = calculate_file_hash(pdf_path) if current_hash: print(current_hash) print("(Manually compare this hash against a known, trusted source to detect tampering.)") To create a Khmer PDF with ReportLab, you
pip install khmerdocparser # (Assuming library documentation; check its GitHub for the exact API) # from khmerdocparser import extractor # text = extractor.extract("my_khmer_document.pdf") # print(text)
sudo apt-get install tesseract-ocr-khm # Linux # or download Khmer trained data for Windows/macOS Setup the canvas c = canvas