To produce a verified PDF with Khmer text using Python, you should use libraries that support and TrueType Fonts (TTF) , as standard PDF generators often fail to render Khmer script correctly without specific font embedding. Recommended Approach
sentence = "ខ្ញុំចូលចិត្តសិក្សាភាសាខ្មែរ" words = word_tokenize(sentence) print(words) # Output: ['ខ្ញុំ', 'ចូលចិត្ត', 'សិក្សា', 'ភាសាខ្មែរ']
A "verified" PDF implies that the document contains a digital signature confirming its authorship and ensuring it has not been altered since creation. 1. Signing a Khmer PDF with pyHanko
Standard PDF libraries often fail to correctly parse or generate Khmer text, resulting in broken characters, missing sub-consonants, or incorrect word ordering. This guide provides verified, actionable workflows to successfully extract and generate Khmer PDFs using Python. Part 1: Verified Khmer PDF Generation
Since Khmer lacks spaces, use khmer-nltk : python khmer pdf verified
To help refine this implementation for your project, let me know:
A lightweight alternative to ReportLab that features strong UTF-8 and complex script support.
To extract Khmer text from an existing PDF, pdfminer.six is the most reliable. However, you must bypass its default fallback fonts.
Here's an example code snippet that demonstrates how to extract text from a Khmer PDF using PyPDF2: To produce a verified PDF with Khmer text
Searching for means you are not just looking for any code snippet. You are looking for trustworthy, tested, and Unicode-compliant methods to handle Khmer script in PDF files using Python.
Whether you are primarily new PDFs or extracting text from old ones
If your Khmer PDF is actually an image or scanned document (and not natively text-based), standard extractors will fail. You will need to utilize OCR tools like Tesseract , specifically training it with Khmer language data ( khm ) to accurately recognize and pull text from the images.
from weasyprint import HTML html_content = """ body font-family: 'Khmer OS Battambang', sans-serif; font-size: 16px; Signing a Khmer PDF with pyHanko Standard PDF
import pdfplumber import re def verify_khmer_pdf_content(pdf_path): with pdfplumber.open(pdf_path) as pdf: full_text = "" for page in pdf.pages: full_text += page.extract_text() or "" # Regex range for the Khmer Unicode Block (\u1780 to \u17FF) khmer_range = re.compile(r'[\u1780-\u17ff]+') found_khmer = khmer_range.findall(full_text) print("--- Extracted Text Preview ---") print(full_text[:500]) print("------------------------------") if found_khmer: print(f"Verification Success: Document contains len(found_khmer) verified Khmer character sequences.") return True else: print("Verification Failure: No valid Khmer Unicode characters detected.") return False # Run verification script verify_khmer_pdf_content("verified_khmer_output.pdf") Use code with caution. Summary Checklist for Verified Success
for i, page in enumerate(pages): # Use 'khm' for Khmer language verification text = pytesseract.image_to_string(page, lang='khm') print(f"Page i+1 verified text:\ntext")
If extracting, is the source document a or a scanned image PDF ?