To build a verification solution, you'll need to know the tools. Here is a practical overview of the most relevant Python libraries:
If you need to verify that the document has not been tampered with since it was digitally signed, Python libraries like endesive or pyHanko are used. endesive is a "comprehensive Python solution for digital signing and verification" compliant with CAdES standards for PDF. pyHanko abstracts away low-level PDF signature logic and works with self-signed or CA-issued certificates.
First, you'll need to set up your environment. This typically involves installing the core libraries via pip .
import pdfplumber def extract_khmer_pdf(pdf_path): with pdfplumber.open(pdf_path) as pdf: for page_num, page in enumerate(pdf.pages): # Extract words with spatial layout positioning words = page.extract_words(horizontal_strategy="character", vertical_strategy="line") # Sort words primarily by top position (row), then by left position (column) words_sorted = sorted(words, key=lambda x: (x['top'], x['x0'])) current_top = 0 page_text = [] for word in words_sorted: if abs(word['top'] - current_top) > 5: # New line threshold page_text.append("\n") current_top = word['top'] page_text.append(word['text'] + " ") print(f"--- Page page_num + 1 ---") print("".join(page_text)) extract_khmer_pdf("digital_khmer_document.pdf") Use code with caution. Option B: For Scanned PDFs or Broken Fonts (Tesseract OCR) python khmer pdf verified
To fix this, you need a setup that combines , a text-shaping engine (like HarfBuzz), and a compatible PDF generation library . The Solution Architecture
: The PDF viewer or the generating library does not have access to a font that contains Khmer glyphs.
def extract_and_match(): from pypdf import PdfReader reader = PdfReader("python_khmer_report.pdf") page = reader.pages[0] text = page.extract_text() if "របាយការណ៍" in text: # Checking for "Report" print("3. Content verification successful.") return True else: print("3. Content mismatch.") return False To build a verification solution, you'll need to
import hashlib
If you are looking to , the "verified" standard libraries used globally (and applicable in Cambodia) are:
When working with Khmer PDFs, font and encoding issues can arise. The Khmer script requires specific fonts that support the language's unique characters. If the font is not embedded in the PDF, the text may not display correctly. pyHanko abstracts away low-level PDF signature logic and
: The resulting PDF contains real Unicode text, making it fully searchable and copy-pasteable. Part 2: Verified Khmer PDF Text Extraction
Check out these open-source gems on GitHub to get started:🔹 seanghay/awesome-khmer-language 🔹 JaidedAI/EasyOCR #Python #Khmer #PDF #DataScience #CodingTips #CambodiaTech seanghay/awesome-khmer-language: A large ... - GitHub